1986 Population Census DDI_FJI_1986_PHC_v01_M_v7.5_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

 IPUMS May 20, 2024 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 7.5 October 2024. NEW FEATURES. --Historical data from NAPP project now available from IPUMS-International. --Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk. --Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples. --New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures. NEW SAMPLES. --Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. --Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) --Labor force surveys from Spain and eight new labor force surveys from Italy added to the series. Newly added countries: Benin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe New samples for: Bolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe SUPPLEMENTAL DATA. Data from censuses from Benin and Lesotho that record individual fertility and/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system. NEW VARIABLES. --IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here. --IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography. --Added more detailed 3-digit industry and occupation variables for China 2000. EDITED SAMPLES. --Revised full-count data for Great Britain 1881 --Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets: --Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS. --Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE. --A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute. EDITED VARIABLES. An error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01. AGEMARR was edited to add data for Hungary 1980 and 1990. Harmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries. Errors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000. Harmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here. The codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education. Errors affecting EDUCFJ for Fiji 2006 were corrected. A problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals. MOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers. An error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected. An error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed. All the six Brazil samples in IPUMS International were replaced with higher density samples. An edited version of the Chile 2017 sample was introduced to correct an error in household breaks. Errors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected. Harmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here. An error in PERWT affecting Nepal 2001 was corrected. Errors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household. An error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited. Harmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error in INCEARN affecting Brazil 1980 was corrected. An error in EDATTAIN affecting Ireland 1971 and 1981 was corrected. A small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit. The second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN. An error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed. A problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals. Harmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. Harmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error affecting codes for COMPUTER for Senegal 2013 was corrected. An error affecting labels available in IND for Peru 1993 was corrected. An error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected. EDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization. HHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province. In GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE. Errors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected. Errors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected. 1986 Population Census - IPUMS Subset PHC Fiji 1986 (IPUMS Harmonized Subset) FJI_1986_PHC_v01_M_v7.5_A_IPUMS Fiji Bureau of Statistics IPUMS (c) Copyright 1986, Fiji Bureau of Statistics and Minnesota Population Center Fiji Bureau of Statistics Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.5 Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Geography: F-N Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Work Variables -- PERSON Ethnicity and Language Variables -- PERSON Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: F-N Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Demographic Variables -- PERSON Ethnicity and Language Variables -- PERSON Fertility and Mortality Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON August 31, 1986 August 31, 1986 Fiji Province. Provinces with less than 20,000 population in 2014 are combined with other provinces. Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: An independent dwelling is a detached dwelling housing a single household and which is not joint to any other dwelling by one or more walls and is not in a building used also as a shop or a factory. - Households: Those persons who usually eat together food prepared for them in the same kitchen and who together share the work and cost of providing the food are called a household. - Group quarters: Yes All people who spent the night before August 31, 1986 in a specific dwelling, including the visitors. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Fiji 1986 MICRODATA SOURCE: Fiji Bureau of Statistics SAMPLE SIZE (person records): 72158. SAMPLE DESIGN: Systematic sample of every 10th dwelling with a random start, drawn by IPUMS Face-to-face [f2f] Single enumeration form that requested information on hoseholds and individuals. de facto, CENSUS DAY: August 31, 1986 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. Fiji Bureau of Statistics . Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.18128/D020.V7.5 Researchers should also acknowledge the statistical agency that originally produced the data: Fiji, Fiji Bureau of Statistics. 1986 Population Census The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.5 Extract for fj1986a, 2024 FJI1986_PHC-H-H.dat Household records 13,000 ascii Minnesota Population Center Version 7.5, IPUMS sample FJI1986_PHC-P-H.dat Person records 72158 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 Ivory Coast 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 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 Ivory Coast 1988 384199801 Ivory Coast 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 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 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 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 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 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 Group quarters type GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. Geography: Global Variables -- HOUSEHOLD 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer. 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 string variable listing the population density in persons per square kilometer. 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 string variable listing the area in square kilometers. 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 string variable listing the area in square kilometers. Geography: Global Variables -- HOUSEHOLD Fiji, Division 1966 - 2014 [Level 1; consistent boundaries, GIS] GEO1_FJ identifies the household's division within Fiji in all sample years. Divisions are the first level administrative units of the country. GEO1_FJ 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_FJ can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Fiji 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. 242001 Central 242002 Eastern 242003 Northern 242004 Western 242098 In ships 242999 Unknown Geography: F-N Variables -- HOUSEHOLD Fiji, Division 1986 [Level 1, GIS] GEO1_FJ1986 identifies the household's division within Fiji in 1986. Divisions are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_FJ1986 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Fiji 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. 001 Central 002 Eastern 003 Northern 004 Western Geography: F-N Variables -- HOUSEHOLD Fiji, Province 1966 - 2014 [Level 2; consistent boundaries, GIS] GEO2_FJ identifies the household's province within Fiji in all sample years. Provinces are the second level administrative units of the country, after divisions. GEO2_FJ 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_FJ can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Fiji 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. 242001001 Naitasiri 242001002 Rewa 242001003 Serua, Namosi 242001004 Tailevu 242002001 Kadavu, Lau, Lomaiviti, Rotuma 242003001 Cakaudrove, Bua 242003002 Macuata 242004001 Ba 242004002 Nadroga or Navosa 242004003 Ra 242998998 In ships 242999999 Unknown Geography: F-N Variables -- HOUSEHOLD Fiji, Province 1986 [Level 2, GIS] GEO2_FJ1986 identifies the household's province within Fiji in 1986. Provinces are the second level administrative units of the country, after divisions. A GIS map (in shapefile format), corresponding to GEO2_FJ1986 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Fiji 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. 001001 Naitasiri 001002 Rewa 001003 Serua, Namosi 001004 Tailevu 002001 Kadavu, Lau, Lomaiviti, Rotuma 003001 Cakaudrove, Bua 003002 Macuata 004001 Ba 004002 Nadroga or Navosa 004003 Ra Geography: F-N Variables -- HOUSEHOLD Fiji, Division DIVNFJ identifies the household's division within Fiji in all sample years. DIVNFJ is harmonized solely based on the names of the geographical unit. It does not take into account the changes that may have occurred in the political boundaries of the units. The full set of geography variables for Fiji 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. 1 Central 2 Eastern 3 Northern 5 Western 6 In Ships 9 Unknown 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 Cooking fuel FUELCOOK indicates the predominant type of fuel or energy used for cooking. 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing Utilities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Wall or building material This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Fiji 1986: All records This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Fiji 1986: All records This variable indicates the number of persons in the household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Fiji 1986: All records This variable indicates that the dwelling was created by splitting apart a larger dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Number of persons in large household before it was split Fiji 1986: All records This variable indicates the number of persons in a large household before it was split. 00 Not split 31 31 32 32 33 33 34 34 35 35 36 36 37 37 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 60 60 63 63 64 64 69 69 70 70 71 71 73 73 77 77 80 80 83 83 84 84 86 86 87 87 88 88 89 89 90 90 94 94 95 95 96 96 97 97 98 98 99 99 Technical Household Variables -- HOUSEHOLD Division where the household is located Fiji 1986: All households This variable indicates the division where the dwelling is located. 1 Central 2 Eastern 3 Northern 4 Western Geography: F-N Variables -- HOUSEHOLD Province where the household is located <svar a="all" v=" FJ86A022 FJ86A023 FJ86A024 FJ86A025 FJ86A027 FJ86A029 FJ86A030"><span class="em">For office use:</span><br />Locality: ____<br />Household number: ____<br /><br />Village/locality/settlement: ____<br />Household number: ____<br /></svar> <svar a="all" v="FJ86A022 FJ86A023 FJ86A024 FJ86A025 FJ86A027 FJ86A029 FJ86A030"><span class="em">The interview and the questions</span><br /><br />58. When you arrive at a house, greet the occupants and identify yourself as a census enumerator.<br /><br />59. Ask, "Who is the head of this household?"<br /><br />60. The head of the household is the person who is regarded by the members of the household as its head, and may be a man or a woman. If the head of the household is not present, ask for the next senior person.<br /><br /><span class="pg">[p. 8]</span><br /><br />61. Explain that you must record particulars of everyone who was present in the household on census night.<br /><br />62. First, enter the name of the village at the top right hand corner of the form.<br /><br />63. Next enter the household number. You will allocate this number yourself. The first household you enumerate will be 1, the second 2, and so on upwards.<br /><br />64. Then complete the main body of the questionnaire and finally complete the household section.<br /><br />65. The instructions which follow deal with what is required and will help explain the notes printed on the questionnaire. Study them together.<br /><br />66. The instructions also deal with the way in which you are to ask the questions. It is your job to learn them and to ask them as they are set out in these instructions and on the questionnaire. It is important that each enumerator should ask census questions in exactly the same way, otherwise there will be misunderstanding and mistakes.<br /><br />67. As far as possible, obtain information directly from the person concerned.<br /><br />68. Your first job is to make a list of all persons who were in the household on census night. Starting with the head of the household, if he or she was present, or with the person in charge of the household at that time.<br /></svar> Fiji 1986: All households This variable indicates the province where the household is located. 01 Ba 03 Bua and Cakaudrove 06 Kadavu, Lau, Lomaiviti, and Rotuma 07 Macuata 08 Nadroga-Navosa 09 Naitasiri 11 Ra 12 Rewa 13 Serua and Namosi 14 Tailevu Geography: F-N Variables -- HOUSEHOLD City or town where the household is located <svar a="all" v=" FJ86A022 FJ86A023 FJ86A024 FJ86A025 FJ86A027 FJ86A029 FJ86A030"><span class="em">For office use:</span><br />Locality: ____<br />Household number: ____<br /><br />Village/locality/settlement: ____<br />Household number: ____<br /></svar> <svar a="all" v="FJ86A022 FJ86A023 FJ86A024 FJ86A025 FJ86A027 FJ86A029 FJ86A030"><span class="em">The interview and the questions</span><br /><br />58. When you arrive at a house, greet the occupants and identify yourself as a census enumerator.<br /><br />59. Ask, "Who is the head of this household?"<br /><br />60. The head of the household is the person who is regarded by the members of the household as its head, and may be a man or a woman. If the head of the household is not present, ask for the next senior person.<br /><br /><span class="pg">[p. 8]</span><br /><br />61. Explain that you must record particulars of everyone who was present in the household on census night.<br /><br />62. First, enter the name of the village at the top right hand corner of the form.<br /><br />63. Next enter the household number. You will allocate this number yourself. The first household you enumerate will be 1, the second 2, and so on upwards.<br /><br />64. Then complete the main body of the questionnaire and finally complete the household section.<br /><br />65. The instructions which follow deal with what is required and will help explain the notes printed on the questionnaire. Study them together.<br /><br />66. The instructions also deal with the way in which you are to ask the questions. It is your job to learn them and to ask them as they are set out in these instructions and on the questionnaire. It is important that each enumerator should ask census questions in exactly the same way, otherwise there will be misunderstanding and mistakes.<br /><br />67. As far as possible, obtain information directly from the person concerned.<br /><br />68. Your first job is to make a list of all persons who were in the household on census night. Starting with the head of the household, if he or she was present, or with the person in charge of the household at that time.<br /></svar> Fiji 1986: All households This variable indicates the city or town where the household is located. 01 Suva 02 Lami 03 Nausori 04 Lautoka 05 Nadi 06 Ba 07 Sigatoka 09 Other cities and incorporated towns 99 Not a city or a town Geography: F-N Variables -- HOUSEHOLD Type of living quarters <svar a="all" v="FJ86A032"><span class="em">Question 1 - Type of living quarters</span><br /><br />203. An independent dwelling is a detached dwelling housing a single household and which is not joined to any other dwelling by one or more walls and is not in a building used also as a shop or a factory. A building housing two or more households may be a block of flats, an apartment building or a set of town houses. A hotel or lodging house is self-explanatory. There are other types of living quarters -- caravans or mobile homes, ships, tents. In such cases describe them and tick the category 'Other'. If the living quarters are in a building used also as a factory, shop or for other commercial purposes, state the fact and tick 'Other'. If you are not sure which category to tick, describe the living quarters and tick 'Other'.<br /></svar> Fiji 1986: All households This variable indicates the type of living quarters. 1 Independent dwelling 2 Apartments 3 Hotel or lodging house 4 Other Group Quarters Variables -- HOUSEHOLD Number of rooms <svar a="all" v="FJ86A033">3. Number of rooms<br /><div class="i1">How many rooms are there for this household?<br />_ _</div><br /></svar> <svar a="all" v="FJ86A033"><span class="em">Question 3 - Number of rooms</span><br /><br />205. A room is a space in the living quarters which is enclosed by walls and which is large enough to contain a bed for an adult.<br /><br />206. We are concerned with rooms used for living -- that is bedrooms, living rooms, dining rooms, servant's quarters and kitchens. Do not include toilets, bathrooms, passageways or verandahs.<br /><br />207. If the household shares one or more rooms with another, write the number of rooms for its exclusive use and then the number shared -- for example, '3 rooms + 1 shared kitchen'.<br /></svar> Fiji 1986: All households This variable indicates the number of rooms in the dwelling. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 Dwelling Characteristics Variables -- HOUSEHOLD Water supply system <svar a="all" v="FJ86A034">4. Water supply<br /><div class="i1">Is the household's water:</div><br /><br /><div class="i2">[] 1 Metered<br />[] 2 From a communal standpipe<br />[] 3 Rooftank<br />[] 4 Borehole<br />[] 5 Well<br />[] 6 River or creek<br />[] 7 Other, specify</div><br /></svar> <svar a="all" v="FJ86A034 FJ86A035 "><span class="em">Question 4 - Water supply</span><br /><br />208. We are concerned with the supply on which the household mainly relies -- from which the household gets its water for most of the time.<br /><br />209. 'Drying up' does not include occasional failures by a municipal or communal piped water system.<br /></svar> Fiji 1986: All households This variable indicates the main water supply system. 1 Metered 2 Communal 3 Roof tank 4 Borehole 5 Well 6 River 7 Other 8 Unknown Utilities Variables -- HOUSEHOLD Does the household's water supply dry up? <svar a="all" v="FJ86A035"><div class="i1">Does the household's water supply dry up:</div><br /><br /><div class="i2">[] 1 Never<br />[] 2 Sometimes<br />[] 3 Every year</div><br /></svar> <svar a="all" v="FJ86A034 FJ86A035 "><span class="em">Question 4 - Water supply</span><br /><br />208. We are concerned with the supply on which the household mainly relies -- from which the household gets its water for most of the time.<br /><br />209. 'Drying up' does not include occasional failures by a municipal or communal piped water system.<br /></svar> Fiji 1986: Households with water supply system [discrepancies: type I trace; type II 0.3%] This variable indicates the frequency a household's water supply dries up. 1 Never 2 Sometimes 3 Every year 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Does the household have electricity? <svar v="FJ86A036 FJ86A037">5. Electricity<br /></svar></p> <p><svar a="all" v="FJ86A036"><div class="i1">Does the household have electricity?</div><br /><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar a="all" v=" FJ86A036 FJ86A037 FJ86A038 FJ86A039 FJ86A040"><span class="em">Questions 5, 6, 7 and 8 are self-explanatory.</span><br /></svar> Fiji 1986: All households This variable indicates whether or not the household has electricity. 1 Yes 2 No Utilities Variables -- HOUSEHOLD Electricity supplier <svar a="all" v="FJ86A037"><div class="i1">If yes, by which supply?</div><br /><br /><div class="i2">[] 1 FEA<br />[] 2 FSC<br />[] 3 Vatukoula<br />[] 4 Village power plant<br />[] 5 PWD<br />[] 6 Own plant<br />[] 7 Other, specify</div><br /></svar> <svar a="all" v=" FJ86A036 FJ86A037 FJ86A038 FJ86A039 FJ86A040"><span class="em">Questions 5, 6, 7 and 8 are self-explanatory.</span><br /></svar> Fiji 1986: Households with electricity [discrepancies: type I none; type II 0.4%] This variable indicates the main source of electricity supply. 1 Fiji electricity authority (FEA) 2 Fiji sugar corporation (FSC) 3 Vatukoula 4 Village power plant 5 Public works department (PWD) 6 Own plant 7 Other supplier 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Lighting source <svar a="all" v="FJ86A038">6. Lighting<br /><div class="i1">What does the household mainly use for lighting?</div><br /><br /><div class="i2">[] 1 Electricity<br />[] 2 Kerosene lamp<br />[] 3 Benzine lamp<br />[] 4 Solar power unit<br />[] 5 Other, specify</div><br /></svar> <svar a="all" v=" FJ86A036 FJ86A037 FJ86A038 FJ86A039 FJ86A040"><span class="em">Questions 5, 6, 7 and 8 are self-explanatory.</span><br /></svar> Fiji 1986: All households This variable indicates the main source of lighting in the dwelling. 1 Electricity 2 Kerosene lamp 3 Benzine lamp 4 Solar power unit 5 Other 8 Unknown Utilities Variables -- HOUSEHOLD Type of fuel used for cooking <svar a="all" v="FJ86A039">7. Cooking fuel<br /><div class="i1">What fuel does the household mainly use for cooking?</div><br /><br /><div class="i2">[] 1 Wood<br />[] 2 Kerosene<br />[] 3 LPG [liquefied petroleum gas]<br />[] 4 Electricity<br />[] 5 Other, specify</div><br /></svar> <svar a="all" v=" FJ86A036 FJ86A037 FJ86A038 FJ86A039 FJ86A040"><span class="em">Questions 5, 6, 7 and 8 are self-explanatory.</span><br /></svar> Fiji 1986: All households This variable indicates the main type of fuel used for cooking. 1 Wood 2 Kerosene 3 LPG (liquefied petroleum gas) 4 Electricity 5 Other 8 Unknown Utilities Variables -- HOUSEHOLD Type of toilet facilities in household <svar a="all" v="FJ86A040">8. Toilet facilities<br /><div class="i1">Does the household have:</div><br /><br /><div class="i2">[] 1 Flush toilet for exclusive use<br />[] 2 Water sealed privy for exclusive use<br />[] 3 Toilet or privy shared with others<br />[] 4 Pit latrine<br />[] 5 Other, specify<br />[] 6 None</div><br /></svar> <svar a="all" v=" FJ86A036 FJ86A037 FJ86A038 FJ86A039 FJ86A040"><span class="em">Questions 5, 6, 7 and 8 are self-explanatory.</span><br /></svar> Fiji 1986: All households This variable indicates the type of toilet facilities the household has. 1 Flush toilet for exclusive use 2 Water sealed privy for exclusive use 3 Toilet or privy shared with others 4 Pit latrine 5 Other 6 None 8 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Occupancy status <svar a="all" v="FJ86A041">9. Tenure<br /><div class="i1">Does this household:</div><br /><br /><div class="i2">[] 1 Own these living quarters<br />[] 2 Rent them from a private landlord<br />[] 3 Rent them from the Housing Authority<br />[] 4 Occupy government or institutional housing<br />[] 5 Occupy housing by leave of the employer<br />[] 6 Squatter<br />[] 7 Occupy living quarters in some other way, specify</div><br /></svar> <svar a="all" v="FJ86A041"><span class="em">Question 9 - Tenure</span><br /><br />210. This question refers to the arrangements by which a household occupies its living quarters. Ask, "Does this household pay rent for its living quarters?"<br /><br />211. If the answer is 'no', the household either owns the living quarters or occupies them in some other way.<br /><br /><div class="i1">Owning means that the household or a member of it owns the living quarters or is paying for them by installments or by home finance. No rent is paid, nor does the household occupy its quarters with someone else's permission.<br /><br />If the household pays no rent but does not own its living quarters, it either occupies them with an employer's permission, as in the case of live-in domestic servants, or in some other way which you should describe.<br /><br />We are concerned to distinguish squatter housing from other housing. If you are working in a squatter area or settlement, tick the box 'squatter' irrespective of whether the household owns or rents the living quarters or occupies them in some other way.</div><br /><br />212. If the answer is 'yes' and the household does pay rent for its living quarters, ask: "Who is the rent paid to?" and tick the appropriate box.<br /><br />213. If you cannot decide on the right box, describe the arrangements by which the household occupies its quarters and tick the last box.<br /></svar> Fiji 1986: All households This variable indicates the occupancy status of the dwelling. 1 Own these living quarters 2 Rent them from a private landlord 3 Rent them from the housing authority 4 Occupy government or institutional housing 5 Occupy housing by leave of the employer 6 Squatter 7 Occupy living quarters in some other way 8 Unknown Household Economic Variables -- HOUSEHOLD Materials of outer walls <svar a="all" v="FJ86A042">2. Construction of outer walls<br /><div class="i1">Is the building constructed with:</div><br /><br /><div class="i2">[] 1 Walls of concrete, brick or cement<br />[] 2 Wooden walls<br />[] 3 Permanent walls of tin or corrugated iron<br />[] 4 Walls of traditional <span class="lang">bure</span> [wood and straw hut] materials<br />[] 5 Walls of makeshift or improvised materials<br />[] 6 Walls of other materials, specify</div><br /></svar> <svar a="all" v="FJ86A042"><span class="em">Question 2 - Construction of outer walls</span><br /><br />204. If the outer walls fall into more than one category, tick the main one.<br /></svar> Fiji 1986: All households This variable indicates the predominant materials of the outer walls. 1 Walls of concrete, brick or cement 2 Wooden walls 3 Permanent walls of tin or corrugated iron 4 Walls of traditional bure (wood and straw hut) materials 8 Unknown Dwelling Characteristics 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. 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 Year of birth BIRTHYR gives the person's year of birth. 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 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2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown Demographic Variables -- PERSON Month of birth BIRTHMO indicates the person's month of birth. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Month of last birth LASTBMO indicates the month of birth of the last child born by the respondent. The data refer to live births. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Year of last birth LASTBYR indicates the year of birth of the last child born by the respondent. The data refer to live births. 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 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 1988 1988 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 9998 Unknown 9999 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 Mortality status of last birth LASTBMORT indicates the mortality status of the last child born to a woman. There is no constraint on how long ago the child may have been born. Only live births are considered. 0 NIU (not in universe) 1 Alive 2 Dead 9 Unknown Fertility and Mortality Variables -- PERSON Mortality status of mother MORTMOT indicates whether the person's biological mother was still living at the time of the census. 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Mortality status of father MORTFAT indicates whether the person's biological father was still living. 1 Alive 2 Dead 7 Does not know 8 Missing 9 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 Province of birth, Fiji BPLFJ indicates the province in Fiji in which the person was born. 01 Ba 02 Bua 03 Cakaudrove 04 Kadavu 05 Lau 06 Lomaiviti 07 Macuata 08 Nadroga or Navosa 09 Naitasiri 10 Namosi 11 Ra 12 Rewa 13 Serua 14 Tailevu 15 Rotuma 97 Fiji, unknown province 98 Foreign country 99 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, Fiji ETHNICFJ reports the ethnic or cultural group to which the person belongs. 01 Fijian 02 Indian 03 Chinese or Part Chinese 04 European 05 Part European 06 Rotuman 07 Banaban 08 I-Kiribati 09 Ni-Vanuatu 10 Papua New Guinean 11 Samoan 12 Solomon 13 Tongan 14 Tuvaluan 15 Other Pacific Islander 16 Other Asian 17 All Others 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 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, Fiji EDUCFJ indicates the person's educational attainment in Fiji in terms of the level of schooling and grade completed. 000 No formal education 010 Kindergarten 101 Primary, class 1 102 Primary, class 2 103 Primary, class 3 104 Primary, class 4 105 Primary, class 5 106 Primary, class 6 201 Secondary, form 1 202 Secondary, form 2 203 Secondary, form 3 204 Secondary, form 4 205 Secondary, form 5 206 Secondary, form 6 207 Secondary, form 7 or foundation course 300 Tertiary, not specfied 400 Technical 401 Technical, Government 402 Technical, DTI (Derrick Technical Institute) 403 Technical, sub-professional agriculture 404 Technical, sub-professional banking 405 Technical, other sub-professional 410 Certificate (technical education) 411 Technical, certificate, year 1 412 Technical, certificate, year 2+ 420 Diploma (technical education) 421 Technical, diploma, year 1 422 Technical, diploma, year 2+ 500 Teacher training 501 Teaching - NTC (Nasinu Teachers College) / CCTC (Corpus Christi Teacher's College) 502 Teaching - USP (University of the South Pacific) 600 Bachelor's 601 Bachelors, health, medicine, and dentistry studies 602 Bachelors, nursing 603 Bachelors, professional agriculture 604 Bachelors, professional banking 605 Bachelors, professional and technical architecture 606 Bachelors, other profession 607 Some college 700 Postgraduate diploma, master's, and doctorate 701 Post-graduate certificate or diploma 702 Masters and PhD 800 Other 998 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) 310 Housework 320 Unable to work, disabled or health reasons 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2011 Austria 1971-2001 - German Belarus 1999 - Russian Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1985 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 1976 Cameroon 2005 Canada 1971 Canada 1981-1991 Canada 2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 China 1982 China 1990 China 2000 Colombia 1964 Colombia 1973 - Spanish Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d'Ivoire 1988 Cote d'Ivoire 1998 Cuba 2002 Cuba 2012 Denmark 1845 Denmark 1880 Denmark 1885 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1974 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971-1991 - Greek Greece 2001 - Greek Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 1996 Guinea 2014 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 1988 Honduras 2001 Hungary 1970-1990 Hungary 2001 Hungary 2011 India 1983-2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2005 Iran 2006 Iran 2011 Iraq 1997 Ireland 1901 Ireland 1911 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kenya 1989 Kyrgyz Republic 1999 Laos 1995 Lesotho 1996 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico Surveys 2005-2020 Mongolia 2000 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970 - Spanish Panama 1980 - Spanish Panama 1990 - Spanish Panama 2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 1990 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 2000 Philippines 2010 Poland 1978 Poland 1988 Poland 2002 Portugal 1981 - Portuguese Portugal 1991 - Portuguese Portugal 2001 - Portuguese Portugal 2011 Puerto Rico 1970 Puerto Rico 1980 Puerto Rico 1990 Puerto Rico 2000-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2002 Senegal 2013 Slovak Republic 1991 Slovak Republic 2001 Slovak Republic 2011 Sierra Leone 2004 Sierra Leone 2015 Slovenia 2002 South Africa 1996 South Africa 2001 South Africa 2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970 Switzerland 1980 Switzerland 1990 Switzerland 2000 Switzerland 2011 Tanzania 1988 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1960 Togo 1970 Togo 2010 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Trinidad and Tobago 2011 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 1991 Uganda 2002 Uganda 2014 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1975 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 Zimbabwe 2012 Work Variables -- PERSON Occupation, ISCO-1968, 3-digit ISCO68A provides the 3-digit occupation code for the respondent using the ISCO-1968 occupation classification. 011 Chemists 012 Physicists 013 Physical scientists not elsewhere classified 014 Physical science technicians 021 Architects and town planners 022 Civil engineers 023 Electrical and electronics engineers 024 Mechanical engineers 025 Chemical engineers 026 Metallurgists 027 Mining engineers 028 Industrial engineers 029 Engineers not elsewhere classified 031 Surveyors 032 Draughtsmen 033 Civil engineering technicians 034 Electrical and electronics engineering technicians 035 Mechanical engineering technicians 036 Chemical engineering technicians 037 Metallurgical technicians 038 Mining technicians 039 Engineering technicians not elsewhere classified 041 Aircraft pilots, navigators and flight engineers 042 Ships' deck officers and pilots 043 Ships' engineers 049 Aircraft and ships officers, n.e.c. 051 Biologists, zoologists and related scientists 052 Bacteriologists, pharmacologists and related scientists 053 Agronomists and related scientists 054 Life sciences technicians 059 Life sciences technicians and related technicians, n.e.c. 061 Medical doctors 062 Medical assistants 063 Dentists 064 Dental assistants 065 Veterinarians 066 Veterinary assistants 067 Pharmacists 068 Pharmaceutical assistants 069 Dietitians and public health nutritionists 071 Professional nurses 072 Nursing personnel not elsewhere classified 073 Professional midwives 074 Midwifery personnel not elsewhere classified 075 Optometrists and opticians 076 Physiotherapists and occupational therapists 077 Medical Xray technicians 079 Medical, dental, veterinary and related workers not elsewhere classified 081 Statisticians 082 Mathematicians and actuaries 083 Systems Analysts 084 Statistical and mathematical technicians 089 Statisticians, mathematicians, systems analysts and related technicians, n.e.c. 090 Economists 099 Other social scientists, n.e.c. 110 Accountants 121 Lawyers 122 Judges 129 Jurists not elsewhere classified 131 University and higher education teachers 132 Secondary education teachers 133 Primary education teachers 134 Preprimary education teachers 135 Special education teachers 139 Teachers not elsewhere classified 141 Ministers of religion and related members of religious orders 149 Workers in religion not elsewhere classified 151 Authors and critics 159 Authors, journalists and related writers not elsewhere classified 161 Sculptors, painters and related artists 162 Commercial artists and designers 163 Photographers and cameramen 169 Sculptors, painters and related artists, n.e.c. 171 Composers, musicians and singers 172 Choreographers and dancers 173 Actors and stage directors 174 Producers, performing arts 175 Circus performers 179 Performing artists not elsewhere classified 180 Athletes, sportsmen and related workers 191 Librarians, archivists and curators 192 Sociologists, anthropologists and related scientists 193 Social workers 194 Personnel and occupational specialists 195 Philologists, translators and interpreters 199 Other professional, technical and related workers 201 Legislative officials 202 Government administrators 211 General managers 212 Production managers (except farm) 219 Managers not elsewhere classified 299 Administrative and managerial, n.e.c. 300 Clerical supervisors 310 Government executive officials 321 Stenographers, typists and teletypists 322 Card and tapepunching machine operators 323 Telex operators 329 Stenegraphers, typists and teletypists, n.e.d. 331 Bookkeepers and cashiers 339 Bookkeepers, cashiers and related workers not elsewhere classified 341 Bookkeeping and calculating machine operators 342 Automatic dataprocessing machine operators 349 Computing machine operators, n.e.c. 351 Railway station masters 352 Postmasters 359 Transport and communications supervisors not elsewhere classified 360 Transport conductors 370 Mail distribution clerks 380 Telephone and telegraph operators 391 Stock clerks 392 Material and production planning clerks 393 Correspondence and reporting clerks 394 Receptionists and travel agency clerks 395 Library and filing clerks 399 Clerks not elsewhere classified 400 Managers (wholesale and retail trade) 410 Working proprietors (wholesale and retail trade) 421 Sales supervisors 422 Buyers 431 Technical salesmen and service advisers 432 Commercial travellers and Manufacturers' agents 439 Technical salesmen, commercial travellers and manufacturers' agents, n.e.c. 441 Insurance, real estate and securities salesmen 442 Business services salesmen 443 Auctioneers 451 Salesmen, shop assistants and demonstrators 452 Street vendors, canvassers and newsvendors 454 Itinerant traders 459 Salesmen, shop assistants and demonstrators, n.e.c. 490 Sales workers not elsewhere classified 500 Managers (catering and lodging services) 510 Working proprietors (catering and lodging services) 520 Housekeeping and related service supervisors 531 Cooks 532 Waiters, bartenders and related workers 540 Maids and related housekeeping service workers not elsewhere classified 551 Building caretakers 552 Charworkers, cleaners and related workers 560 Launderers, drycleaners and pressers 570 Hairdressers, barbers, beauticians and related workers 581 Firefighters 582 Policemen and detectives 589 Protective service workers not elsewhere classified 591 Guides 592 Undertakers and embalmers 599 Other service workers 600 Farm managers and supervisors 611 General farmers 612 Specialised farmers 621 General farm workers 622 Field crop and vegetable farm workers 623 Orchard, vineyard and related tree and shrub crop workers 624 Livestock workers 625 Dairy farm workers 626 Poultry farm workers 627 Nursery workers and gardeners 628 Farm machinery operators 629 Agricultural and animal husbandry workers not elsewhere classified 631 Loggers 632 Forestry workers (except logging) 639 Forestry and loggers, n.e.c. 641 Fishermen 649 Fishermen, hunters and related workers not elsewhere classified 700 Production supervisors and general foremen 711 Miners and quarrymen 712 Mineral and stone treaters 713 Well drillers, borers and related workers 721 Metal smelting, converting and refining furnacemen 722 Metal rollingmill workers 723 Metal melters and reheaters 724 Metal casters 725 Metal moulders and coremakers 726 Metal annealers, temperers and casehardeners 727 Metal drawers and extruders 728 Metal platers and coaters 729 Metal processers not elsewhere classified 731 Wood treaters 732 Sawyers, plywood makers and related woodprocessing workers 733 Paper pulp preparers 734 Paper makers 739 Wood preparation workers and paper makers, n.e.c. 741 Crushers, grinders and mixers 742 Cookers, roasters and related heattreaters 743 Filter and separator operators 744 Still and reactor operators 745 Petroleum refining workers 749 Chemical processers and related workers not elsewhere classified 751 Fibre preparers 752 Spinners and winders 753 Weaving and knittingmachine setters and patterncard preparers 754 Weavers and related workers 755 Knitters 756 Bleachers, dyers and textile product finishers 759 Spinners, weavers, knitters, dyers and related workers not elsewhere classified 761 Tanners and fellmongers 762 Pelt dressers 769 Tanners, fellmongers and pelt dressers, n.e.c. 771 Grain millers and related workers 772 Sugar processers and refiners 773 Butchers and meat preparers 774 Food preservers 775 Dairy product processers 776 Bakers, pastrycooks and confectionery makers 777 Tea, coffee and cocoa preparers 778 Brewers, wine and beverage makers 779 Food and beverage processers not elsewhere classified 781 Tobacco preparers 782 Cigar makers 783 Cigarette makers 789 Tobacco preparers and tobacco product makers not elsewhere classified 791 Tailors and dressmakers 792 Fur tailors and related workers 793 Milliners and hatmakers 794 Patternmakers and cutters 795 Sewers and embroiderers 796 Upholsterers and related workers 799 Tailors, dressmakers, sewers, upholsterers and related workers not elsewhere classified 801 Shoemakers and shoe repairers 802 Shoe cutters, lasters, sewers and related workers 803 Leather goods makers 811 Cabinetmakers 812 Woodworking machine operators 819 Cabinetmakers and related woodworkers not elsewhere classified 820 Stone cutters and carvers 831 Blacksmiths, hammersmiths and forgingpress operators 832 Toolmakers, metal patternmakers and metal markers 833 Machinetool setteroperators 834 Machinetool operators 835 Metal grinders, polishers and tool sharpeners 839 Blacksmiths, toolmakers and machinetool operators not elsewhere classified 841 Machinery fitters and machine assemblers 842 Watch, clock and precision instrument makers 843 Motor vehicle mechanics 844 Aircraft engine mechanics 849 Machinery fitters, machine assemblers and precision instrument makers (except electrical) not elsewhere classified 851 Electrical fitters 852 Electronics fitters 853 Electrical and electronics equipment assemblers 854 Radio and television repairmen 855 Electrical wiremen 856 Telephone and telegraph installers 857 Electric linemen and cable jointers 859 Electrical fitters and related electrical and electronics workers not elsewhere classified 861 Broadcasting station operators 862 Sound equipment operators and cinema projectionists 871 Plumbers and pipe fitters 872 Welders and flamecutters 873 Sheetmetal workers 874 Structural metal preparers and erectors 879 Other plumbers, welders, sheet metal and structural metal preparers and erectors 880 Jewellery and precious metal workers 891 Glass formers, cutters, grinders and finishers 892 Potters and related clay and abrasive formers 893 Glass and ceramics kilnmen 894 Glass engravers and etchers 895 Glass and ceramics painters and decorators 899 Glass formers, potters and related workers not elsewhere classified 901 Rubber and plastics product makers (except tire makers and tire vulcanisers) 902 Tire makers and vulcanisers 910 Paper and paperboard products makers 921 Compositors and typesetters 922 Printing pressmen 923 Stereotypers and electrotypers 924 Printing engravers (except photoengravers) 925 Photoengravers 926 Bookbinders and related workers 927 Photographic darkroom workers 929 Printers and related workers not elsewhere classified 931 Painters, construction 939 Painters not elsewhere classified 941 Musical instrument makers and tuners 942 Basketry weavers and brush makers 943 Nonmetallic mineral product makers 949 Other production and related workers 951 Bricklayers, stonemasons and tile setters 952 Reinforced concreters, cement finishers and terrazzo workers 953 Roofers 954 Carpenters, joiners and parquetry workers 955 Plasterers 956 Insulators 957 Glaziers 959 Construction workers not elsewhere classified 961 Power generating machinery operators 969 Stationary engine and related equipment operators not elsewhere classified 971 Dockers and freight handlers 972 Riggers and cable splicers 973 Crane and hoist operators 974 Earthmoving and related machinery operators 979 Material handling equipment operators not elsewhere classified 981 Ships' deck ratings, barge crews and boatmen 982 Ships' engineroom ratings 983 Railway engine drivers and firemen 984 Railway brakemen, signalmen and shunters 985 Motor vehicle drivers 986 Animal and animaldrawn vehicle drivers 989 Transport equipment operators not elsewhere classified 990 Labourers not elsewhere classified 995 Armed forces 997 Response suppressed 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. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2001 Armenia 2011 Austria 1971-2001 - German Austria 2011 Bangladesh 1991 Bangladesh 2001 Bangladesh 2011 Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 2005 Canada 1971 Canada 1981 Canada 1991-2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 Chile 2017 China 1982 China 1990 China 2000 Colombia 1964 - Spanish Colombia 1973 - Spanish Colombia 1993 - Spanish Colombia 2005 - Spanish Costa Rica 1963 Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d’Ivoire 1988 Cote d’Ivoire 1998 Cuba 2002 Cuba 2012 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 1996 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1966 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1968 - French France 1975-1982 - French France 1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1971 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971 Greece 1981 Greece 1991-2001 Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 2014 Haiti 1971 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 2001 Hungary 2001 Hungary 2011 India 1983 India 1987 India 1993 India 1999 India 2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2000 Indonesia 2005 Indonesia 2010 Iran 2006 Iran 2011 Iraq 1997 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2013 Italy Surveys 2014-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kyrgyz Republic 1999 Kyrgyz Republic 2009 Laos 1995 Laos 2005 Laos 2015 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico surveys 2005-2019 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2006 Nigeria 2007 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970-1980 - Spanish Panama 1990-2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 1995 Philippines 2000 Philippines 2010 Poland 1978 Poland 2002 Portugal 1981 - Portuguese Portugal 1991-2001 - Portuguese Portugal 2011 Puerto Rico 1970-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2013 Sierra Leone 2004 South Africa 1996 South Africa 2001-2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970-2000 Switzerland 2011 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1970 Togo 2010 Trinidad and Tobago 1980 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 2002 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1985 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 Work Variables -- PERSON Migration status, 5 years MIGRATE5 indicates the person's place of residence 5 years ago. The first digit records movement across major administrative divisions and countries. The second digit reports movement across minor administrative divisions, for samples in which that detail is available. 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 99 Unknown/missing Migration: Global Variables -- PERSON Country of residence 5 years ago MIGCTRY5 indicates the country of residence 5 years ago for international migrants. Persons who did not live abroad 5 years earlier are coded to the "non-migrant" category. 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 12090 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 13999 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 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 Western Africa, n.s. 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 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21280 Curacao 21290 Sint Maarten 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 22990 Central America, n.s. 22991 Central America and Caribbean 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, n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24041 U.S. Outlying Areas and Territories 24999 North or Central America, n.s. 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 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32900 South Asia, not specified 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 33900 South-Eastern Asia, not specified 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34999 Middle East, n.e.c. 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41030 Czech Republic 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.e.c. 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 42999 Northern Europe, n.e.c. 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 Kosovo 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxembourg 44022 Benelux (Belgium/Netherlands/Luxembourg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, n.e.c. 49999 Europe, 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.e.c. 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. 54999 Polynesia, n.e.c. 59999 Oceania, n.s. 60000 Other 60010 Other Arab country 90000 Non-migrants (international) 99998 Response suppressed 99999 Unknown Migration: Global Variables -- PERSON 1st subnational geographic level of residence 5 years prior to survey, world [consistent boundaries over time] GEOMIG1_5 indicates the major administrative unit in which the person resided five years prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence five years ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_5 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_1, and GEOMIG1_10. More on migration and geography can be found here. 032002 City of Buenos Aires [Province: Argentina] 032006 Buenos Aires province [Province: Argentina] 032010 Catamarca [Province: Argentina] 032014 Córdoba [Province: Argentina] 032018 Corrientes [Province: Argentina] 032022 Chaco [Province: Argentina] 032026 Chubut [Province: Argentina] 032030 Entre Ríos [Province: Argentina] 032034 Formosa [Province: Argentina] 032038 Jujuy [Province: Argentina] 032042 La Pampa [Province: Argentina] 032046 La Rioja [Province: Argentina] 032050 Mendoza [Province: Argentina] 032054 Misiones [Province: Argentina] 032058 Neuquén [Province: Argentina] 032062 Río Negro [Province: Argentina] 032066 Salta [Province: Argentina] 032070 San Juan [Province: Argentina] 032074 San Luis [Province: Argentina] 032078 Santa Cruz [Province: Argentina] 032082 Santa Fe [Province: Argentina] 032086 Santiago del Estero [Province: Argentina] 032090 Tucumán [Province: Argentina] 032094 Tierra del Fuego [Province: Argentina] 032096 Argentina, unknown [Province: Argentina] 032097 Foreign country [Province: Argentina] 032098 Unknown [Province: Argentina] 032999 NIU (not in universe) [Province: Argentina] 068001 Chuquisaca [Department: Bolivia] 068002 La Paz [Department: Bolivia] 068003 Cochabamba [Department: Bolivia] 068004 Oruro [Department: Bolivia] 068005 Potosí [Department: Bolivia] 068006 Tarija [Department: Bolivia] 068007 Santa Cruz [Department: Bolivia] 068008 Beni [Department: Bolivia] 068009 Pando [Department: Bolivia] 068096 Bolivia, province unknown [Department: Bolivia] 068097 Foreign country [Department: Bolivia] 068098 Unknown [Department: Bolivia] 068099 NIU (not in universe) [Department: Bolivia] 072001 Gaborone [District: Botswana] 072002 Francistown [District: Botswana] 072003 Lobatse [District: Botswana] 072004 Selebi Phikwe [District: Botswana] 072007 Central Tutume, Sowa [District: Botswana] 072010 Ngwaketse, Ngwaketse West, Ngwaketse Southern, Southern, Jwaneng [District: Botswana] 072011 Borolong [District: Botswana] 072020 South East [District: Botswana] 072030 Kweneng, Kweneng South, Kweneng North [District: Botswana] 072040 Kgatleng [District: Botswana] 072050 Central Serowe/Palapye [District: Botswana] 072051 Central Mahalapye [District: Botswana] 072052 Central Bobonong [District: Botswana] 072053 Central Boteti, Orapa [District: Botswana] 072060 North East [District: Botswana] 072070 Ngamiland East [District: Botswana] 072071 Ngamiland West, Delta [District: Botswana] 072072 Chobe [District: Botswana] 072080 Ghanzi, Central Kgalagadi Game Reserve (CKGR) [District: Botswana] 072090 Tshabong (Kgalagadi South) [District: Botswana] 072091 Hukunsti (Kgalagadi North) [District: Botswana] 072092 Botswana, district unknown [District: Botswana] 072097 Abroad [District: Botswana] 072098 Unknown [District: Botswana] 072099 NIU (not in universe) [District: Botswana] 076011 Rondônia [State: Brazil] 076012 Acre [State: Brazil] 076013 Amazonas [State: Brazil] 076014 Roraima [State: Brazil] 076015 Pará [State: Brazil] 076016 Amapá [State: Brazil] 076021 Maranhão [State: Brazil] 076022 Piauí [State: Brazil] 076023 Ceará [State: Brazil] 076024 Rio Grande do Norte [State: Brazil] 076025 Paraíba [State: Brazil] 076026 Pernambuco, Arquipelago de Fernando de Noronha [State: Brazil] 076027 Alagoas [State: Brazil] 076028 Sergipe [State: Brazil] 076029 Bahia [State: Brazil] 076031 Minas Gerais [State: Brazil] 076032 Espírito Santo [State: Brazil] 076033 Rio de Janeiro, Guanabara [State: Brazil] 076035 São Paulo [State: Brazil] 076036 Serra dos Aimorés [State: Brazil] 076041 Paraná [State: Brazil] 076042 Santa Catarina [State: Brazil] 076043 Rio Grande do Sul [State: Brazil] 076051 Mato Grosso do Sul, Mato Grosso [State: Brazil] 076052 Goiás, Tocantins [State: Brazil] 076053 Distrito Federal [State: Brazil] 076054 Brazil, unspecified [State: Brazil] 076097 Abroad [State: Brazil] 076098 Unknown [State: Brazil] 076099 NIU (not in universe) [State: Brazil] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua, Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 120096 Cameroon - unknown arrondissement [Province: Cameroon] 120097 Foreign country [Province: Cameroon] 120098 Unknown [Province: Cameroon] 120099 NIU (not in universe) [Province: Cameroon] 124010 Newfoundland and Labrador [Province: Canada] 124011 Prince Edward Island, Yukon Territory, Northwest Territories, Nunavut [Province: Canada] 124012 Nova Scotia [Province: Canada] 124013 New Brunswick [Province: Canada] 124024 Quebec [Province: Canada] 124035 Ontario [Province: Canada] 124046 Manitoba [Province: Canada] 124047 Saskatchewan [Province: Canada] 124048 Alberta [Province: Canada] 124059 British Columbia [Province: Canada] 124099 NIU (not in universe) [Province: Canada] 152014 Iquique, Tamarugal [Province: Chile] 152021 Antofagasta [Province: Chile] 152022 El Loa [Province: Chile] 152023 Tocopilla [Province: Chile] 152031 Copiapó [Province: Chile] 152032 Chañaral [Province: Chile] 152033 Huasco [Province: Chile] 152041 Elqui [Province: Chile] 152042 Choapa [Province: Chile] 152043 Limarí [Province: Chile] 152051 Valparaíso, Quillota, Marga Marga, Isla de Pascua [Province: Chile] 152053 Los Andes [Province: Chile] 152054 Petorca [Province: Chile] 152056 San Antonio [Province: Chile] 152057 San Felipe de Aconcagüa [Province: Chile] 152061 Cachapoal [Province: Chile] 152062 Cardenal Caro [Province: Chile] 152063 Colchagua [Province: Chile] 152071 Talca [Province: Chile] 152072 Cauquenes [Province: Chile] 152073 Curicó [Province: Chile] 152074 Linares [Province: Chile] 152081 Concepción [Province: Chile] 152082 Arauco [Province: Chile] 152083 Biobío [Province: Chile] 152091 Cautín [Province: Chile] 152092 Malleco [Province: Chile] 152101 Llanquihue [Province: Chile] 152102 Chiloé, Palena [Province: Chile] 152103 Osorno [Province: Chile] 152111 Coihaique [Province: Chile] 152112 Aisén, General Carrera, Capitan Prat [Province: Chile] 152121 Magallanes, Tierra del Fuego, Antártica Chilena [Province: Chile] 152124 Última Esperanza [Province: Chile] 152131 Santiago [Province: Chile] 152132 Cordillera [Province: Chile] 152133 Chacabuco [Province: Chile] 152134 Maipo [Province: Chile] 152135 Melipilla [Province: Chile] 152136 Talagante [Province: Chile] 152141 Valdivia, Ranco [Province: Chile] 152151 Arica, Parinacota [Province: Chile] 152163 Diguillín, Itata, Punilla [Province: Chile] 152997 Foreign country [Province: Chile] 152998 Unknown [Province: Chile] 152999 NIU (not in universe) [Province: Chile] 156011 Beijing [Province: China] 156012 Tianjin [Province: China] 156013 Hebei [Province: China] 156014 Shanxi [Province: China] 156015 Inner Mongolia [Province: China] 156021 Liaoning [Province: China] 156022 Jilin [Province: China] 156023 Heilongjiang [Province: China] 156031 Shanghai [Province: China] 156032 Jiangsu [Province: China] 156033 Zhejiang [Province: China] 156034 Anhui [Province: China] 156035 Fujian [Province: China] 156036 Jiangxi [Province: China] 156037 Shandong [Province: China] 156041 Henan [Province: China] 156042 Hubei [Province: China] 156043 Hunan [Province: China] 156044 Guangdong, Hainan [Province: China] 156045 Guangxi [Province: China] 156051 Sichuan, Chongqing [Province: China] 156052 Guizhou [Province: China] 156053 Yunnan [Province: China] 156054 Tibet [Province: China] 156061 Shaanxi [Province: China] 156062 Gansu [Province: China] 156063 Qinghai [Province: China] 156064 Ningxia [Province: China] 156065 Xinjiang [Province: China] 156071 Taiwan [China] 156072 Hong Kong [China] 156073 Macao [China] 156097 Other countries [Province: China] 156099 NIU (not in universe) [Province: China] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá D.C., Cundinamarca [Department: Colombia] 170013 Bolívar, Sucre [Department: Colombia] 170015 Boyacá, Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170050 Meta [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Cesar, Norte De Santander, Magdalena [Department: Colombia] 170066 Caldas, Quindío, Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle Del Cauca [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 Archipiélago De San Andrés Y Providencia [Department: Colombia] 170095 Amazonas, Guaviare, Vaupés, Vichada, Guainía [Department: Colombia] 170097 Abroad, [Department: Colombia] 170098 Unknown, [Department: Colombia] 170099 NIU (not in universe), [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 188097 Foreign country [Province: Costa Rica] 188098 Unknown [Province: Costa Rica] 188099 NIU (not in universe) [Province: Costa Rica] 214001 Distrito Nacional, Santo Domingo [Province: Dominican Republic] 214002 Azua [Province: Dominican Republic] 214003 Baoruco, Barahona, Independencia [Province: Dominican Republic] 214005 Dajabón [Province: Dominican Republic] 214006 Duarte [Province: Dominican Republic] 214007 Elías Piña [Province: Dominican Republic] 214008 El Seibo, Hato Mayor [Province: Dominican Republic] 214009 Espaillat [Province: Dominican Republic] 214011 La Altagracia, La Romana [Province: Dominican Republic] 214013 Monseñor Nouel, La Vega [Province: Dominican Republic] 214014 María Trinidad Sánchez [Province: Dominican Republic] 214015 Monte Cristi [Province: Dominican Republic] 214016 Pedernales [Province: Dominican Republic] 214017 San José de Ocoa, Peravia [Province: Dominican Republic] 214018 Puerto Plata, Santiago [Province: Dominican Republic] 214019 Hermanas Mirabal [Province: Dominican Republic] 214020 Samaná [Province: Dominican Republic] 214021 San Cristóbal, Monte Plata [Province: Dominican Republic] 214022 San Juan [Province: Dominican Republic] 214023 San Pedro De Macorís [Province: Dominican Republic] 214024 Sánchez Ramírez [Province: Dominican Republic] 214026 Santiago Rodríguez [Province: Dominican Republic] 214027 Valverde [Province: Dominican Republic] 214097 Foreign country [Province: Dominican Republic] 214098 Unknown [Province: Dominican Republic] 214099 NIU (not in universe) [Province: Dominican Republic] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Province: Ecuador] 218010 Imbabura, Las Golondrinas [Disputed canton] [Province: Ecuador] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218097 Foreign country [Province: Ecuador] 218098 Unknown and Disputed Zones [Province: Ecuador] 218999 NIU (not in universe) [Province: Ecuador] 242001 Central [Province: Fiji] 242002 Eastern [Province: Fiji] 242003 Northern [Province: Fiji] 242004 Western [Province: Fiji] 242097 Foreign country [Province: Fiji] 242098 Unknown [Province: Fiji] 242999 NIU (not in universe) [Province: Fiji] 288001 Western [Region: Ghana] 288002 Central [Region: Ghana] 288003 Greater Accra [Region: Ghana] 288004 Volta [Region: Ghana] 288005 Eastern [Region: Ghana] 288006 Ashanti [Region: Ghana] 288007 Brong Ahafo [Region: Ghana] 288008 Northern [Region: Ghana] 288009 Upper East [Region: Ghana] 288010 Upper West [Region: Ghana] 288098 Unknown [Region: Ghana] 288099 NIU (not in universe) [Region: Ghana] 300001 Etolia and Akarnania [Department: Greece] 300003 Viotia [Department: Greece] 300004 Evia [Department: Greece] 300005 Evrytania [Department: Greece] 300006 Fthiotida [Department: Greece] 300007 Fokida [Department: Greece] 300011 Argolida [Department: Greece] 300012 Arkadia [Department: Greece] 300013 Achaia [Department: Greece] 300014 Ilia [Department: Greece] 300015 Korinthia [Department: Greece] 300016 Lakonia [Department: Greece] 300017 Messinia [Department: Greece] 300021 Zakynthos [Department: Greece] 300022 Kerkyra [Department: Greece] 300023 Kefallinia [Department: Greece] 300024 Lefkada [Department: Greece] 300031 Arta [Department: Greece] 300032 Thesprotia [Department: Greece] 300033 Ioannina [Department: Greece] 300034 Preveza [Department: Greece] 300041 Karditsa [Department: Greece] 300042 Larissa [Department: Greece] 300043 Magnissia [Department: Greece] 300044 Trikala [Department: Greece] 300051 Grevena [Department: Greece] 300052 Drama [Department: Greece] 300053 Imathia [Department: Greece] 300054 Thessaloniki [Department: Greece] 300055 Kavala [Department: Greece] 300056 Kastoria [Department: Greece] 300057 Kilkis [Department: Greece] 300058 Kozani [Department: Greece] 300059 Pella [Department: Greece] 300061 Pieria [Department: Greece] 300062 Serres [Department: Greece] 300063 Florina [Department: Greece] 300064 Chalkidiki and Agion Oros [Department: Greece] 300071 Evros [Department: Greece] 300072 Xanthi [Department: Greece] 300073 Rodopi [Department: Greece] 300081 Dodekanissos [Department: Greece] 300082 Kyklades [Department: Greece] 300083 Lesvos [Department: Greece] 300084 Samos [Department: Greece] 300085 Chios [Department: Greece] 300091 Iraklio [Department: Greece] 300092 Lassithi [Department: Greece] 300093 Rethymno [Department: Greece] 300094 Chania [Department: Greece] 300101 Prefecture of Athens [Department: Greece] 300102 Prefecture of East Attiki [Department: Greece] 300103 Prefecture of West Attiki [Department: Greece] 300104 Prefecture of Pireas [Department: Greece] 300996 Foreign country [Department: Greece] 300997 Response suppressed [Department: Greece] 300998 Unknown [Department: Greece] 300999 NIU (not in universe) [Department: Greece] 320001 Guatemala [Department: Guatemala] 320002 El Progreso [Department: Guatemala] 320003 Sacatepéquez [Department: Guatemala] 320004 Chimaltenango [Department: Guatemala] 320005 Escuintla [Department: Guatemala] 320006 Santa Rosa [Department: Guatemala] 320007 Sololá [Department: Guatemala] 320008 Totonicapán [Department: Guatemala] 320009 Quetzaltenango [Department: Guatemala] 320010 Suchitepéquez [Department: Guatemala] 320011 Retalhuleu [Department: Guatemala] 320012 San Marcos [Department: Guatemala] 320013 Huehuetenango [Department: Guatemala] 320014 Quiché [Department: Guatemala] 320015 Baja Verapaz [Department: Guatemala] 320016 Alta Verapaz [Department: Guatemala] 320017 Petén [Department: Guatemala] 320018 Izabal [Department: Guatemala] 320019 Zacapa [Department: Guatemala] 320020 Chiquimula [Department: Guatemala] 320021 Jalapa [Department: Guatemala] 320022 Jutiapa [Department: Guatemala] 320097 Foreign Country [Department: Guatemala] 320098 Unknown [Department: Guatemala] 320099 NIU [Department: Guatemala] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 332097 Foreign Country [Department: Haiti] 332098 Unknown [Department: Haiti] 332099 NIU (not in universe) [Department: Haiti] 340001 Atlántida [Department: Honduras] 340002 Colón [Department: Honduras] 340003 Comayagua [Department: Honduras] 340004 Copán [Department: Honduras] 340005 Cortés [Department: Honduras] 340006 Choluteca [Department: Honduras] 340007 El Paraíso [Department: Honduras] 340008 Francisco Morazán [Department: Honduras] 340009 Gracias a Dios [Department: Honduras] 340010 Intibucá [Department: Honduras] 340011 Islas de la Bahía [Department: Honduras] 340012 La Paz [Department: Honduras] 340013 Lempira [Department: Honduras] 340014 Ocotepeque [Department: Honduras] 340015 Olancho [Department: Honduras] 340016 Santa Bárbara [Department: Honduras] 340017 Valle [Department: Honduras] 340018 Yoro [Department: Honduras] 340097 Abroad [Department: Honduras] 340098 Unknown [Department: Honduras] 340999 NIU (not in universe) [Department: Honduras] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Kepulauan Riau, Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Bangka Belitung, Sumatera Selatan [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 Banten, Jawa Barat [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DKI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 Nusa Tenggara Timur [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Gorontalo, Sulawesi Utara [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Barat, Sulawesi Selatan [Province: Indonesia] 360074 Sulawesi Tenggara [Province: Indonesia] 360081 Maluku, Maluku Utara [Province: Indonesia] 360094 Papua, Papua Barat [Province: Indonesia] 360097 Abroad [Province: Indonesia] 360098 Unknown [Province: Indonesia] 360099 NIU (not in universe) [Province: Indonesia] 360626 East Timor [Province: Indonesia] 376001 Jerusalem [District: Israel] 376002 Northern [District: Israel] 376003 Haifa [District: Israel] 376004 Central [District: Israel] 376005 Tel-Aviv [District: Israel] 376006 Southern [District: Israel] 376071 Golan [District: Israel] 376072 Judea, Samaria and Gaza areas [District: Israel] 376098 Unknown [District: Israel] 376099 NIU (not in universe) [District: Israel] 458001 Johor [State: Malaysia] 458002 Kedah [State: Malaysia] 458003 Kelantan [State: Malaysia] 458004 Melaka [State: Malaysia] 458005 Negeri Sembilan [State: Malaysia] 458006 Pahang [State: Malaysia] 458007 Pulau Pinang [State: Malaysia] 458008 Perak [State: Malaysia] 458009 Perlis [State: Malaysia] 458010 Selangor, Kuala Lumpur Federal Territory [State: Malaysia] 458011 Terengganu [State: Malaysia] 458012 Sabah, Labuan Federal Territory [State: Malaysia] 458013 Sarawak [State: Malaysia] 458097 Other countries [State: Malaysia] 458098 Unknown [State: Malaysia] 480011 Port Louis [District: Mauritius] 480012 Pamplemousses [District: Mauritius] 480013 Rivière du Rempart [District: Mauritius] 480014 Flacq [District: Mauritius] 480015 Grand Port [District: Mauritius] 480016 Savanne [District: Mauritius] 480017 Plaines Wilhems [District: Mauritius] 480018 Moka [District: Mauritius] 480019 Black River [District: Mauritius] 480020 Rodrigues, Agaléga Islands, Saint Brandon [District: Mauritius] 480097 Abroad [District: Mauritius] 480098 Unknown [District: Mauritius] 480099 NIU [District: Mauritius] 484001 Aguascalientes [State: Mexico] 484002 Baja California [State: Mexico] 484003 Baja California Sur [State: Mexico] 484004 Campeche [State: Mexico] 484005 Coahuila de Zaragoza [State: Mexico] 484006 Colima [State: Mexico] 484007 Chiapas [State: Mexico] 484008 Chihuahua [State: Mexico] 484009 Distrito Federal [State: Mexico] 484010 Durango [State: Mexico] 484011 Guanajuato [State: Mexico] 484012 Guerrero [State: Mexico] 484013 Hidalgo [State: Mexico] 484014 Jalisco [State: Mexico] 484015 México [State: Mexico] 484016 Michoacán de Ocampo [State: Mexico] 484017 Morelos [State: Mexico] 484018 Nayarit [State: Mexico] 484019 Nuevo León [State: Mexico] 484020 Oaxaca [State: Mexico] 484021 Puebla [State: Mexico] 484022 Querétaro [State: Mexico] 484023 Quintana Roo [State: Mexico] 484024 San Luis Potosí [State: Mexico] 484025 Sinaloa [State: Mexico] 484026 Sonora [State: Mexico] 484027 Tabasco [State: Mexico] 484028 Tamaulipas [State: Mexico] 484029 Tlaxcala [State: Mexico] 484030 Veracruz de Ignacio de la Llave [State: Mexico] 484031 Yucatán [State: Mexico] 484032 Zacatecas [State: Mexico] 484097 Abroad [State: Mexico] 484098 Unknown [State: Mexico] 484099 NIU (not in universe) [State: Mexico] 496001 Arkhangai [Province: Mongolia] 496002 Bayan-Olgii [Province: Mongolia] 496003 Bayankhongor [Province: Mongolia] 496004 Bulgan [Province: Mongolia] 496005 Govi-Altai [Province: Mongolia] 496006 Dornogovi, Govisumber [Province: Mongolia] 496007 Dornod [Province: Mongolia] 496008 Dundgovi [Province: Mongolia] 496009 Zavkhan [Province: Mongolia] 496010 Ovorkhangai [Province: Mongolia] 496011 Omnogovi [Province: Mongolia] 496012 Sukhbaatar [Province: Mongolia] 496013 Selenge [Province: Mongolia] 496014 Tov [Province: Mongolia] 496015 Uvs [Province: Mongolia] 496016 Khovd [Province: Mongolia] 496017 Khovsgol [Province: Mongolia] 496018 Khentii [Province: Mongolia] 496019 Darkhan-Uul [Province: Mongolia] 496020 Ulaanbaatar [Province: Mongolia] 496021 Orkhon [Province: Mongolia] 496097 Abroad [Province: Mongolia] 496098 Unknown [Province: Mongolia] 496099 NIU (not in universe) [Province: Mongolia] 508001 Niassa [Province: Mozambique] 508002 Cabo Delgado [Province: Mozambique] 508003 Nampula [Province: Mozambique] 508004 Zambézia [Province: Mozambique] 508005 Tete [Province: Mozambique] 508006 Manica [Province: Mozambique] 508007 Sofala [Province: Mozambique] 508008 Inhambane [Province: Mozambique] 508009 Gaza [Province: Mozambique] 508010 Maputo province [Province: Mozambique] 508011 Maputo city [Province: Mozambique] 508097 Foreign Country [Province: Mozambique][Province: Mozambique] 508098 Unknown [Province: Mozambique] 508099 NIU (not in universe) [Province: Mozambique] 524001 Mechi [Administrative Zone: Nepal] 524002 Koshi [Administrative Zone: Nepal] 524003 Sagarmatha [Administrative Zone: Nepal] 524004 Janakpur [Administrative Zone: Nepal] 524005 Bagmati [Administrative Zone: Nepal] 524006 Narayani [Administrative Zone: Nepal] 524007 Gandaki [Administrative Zone: Nepal] 524008 Dhawalagiri [Administrative Zone: Nepal] 524009 Lumbini [Administrative Zone: Nepal] 524010 Rapti [Administrative Zone: Nepal] 524011 Bheri [Administrative Zone: Nepal] 524012 Karnali [Administrative Zone: Nepal] 524013 Seti [Administrative Zone: Nepal] 524014 Mahakali [Administrative Zone: Nepal] 524097 Foreign Country [Administrative Zone: Nepal] 524098 Unknown [Administrative Zone: Nepal] 524099 NIU [Administrative Zone: Nepal] 558005 Nueva Segovia, Jinotega [Department: Nicaragua] 558020 Madriz [Department: Nicaragua] 558025 Estelí, León [Department: Nicaragua] 558030 Chinandega [Department: Nicaragua] 558040 Matagalpa, Atlantico Norte, Atlantico Sur, Zelaya [Department: Nicaragua] 558050 Boaco [Department: Nicaragua] 558055 Managua, Masaya [Department: Nicaragua] 558065 Chontales [Department: Nicaragua] 558070 Granada [Department: Nicaragua] 558075 Carazo [Department: Nicaragua] 558080 Rivas [Department: Nicaragua] 558085 Río San Juan [Department: Nicaragua] 558097 Abroad [Department: Nicaragua] 558098 Unknown [Department: Nicaragua] 558999 NIU (not in universe) [Department: Nicaragua] 598001 Western [Province: Papua New Guinea] 598002 Gulf [Province: Papua New Guinea] 598003 Central [Province: Papua New Guinea] 598004 National Capital District [Province: Papua New Guinea] 598005 Milne Bay [Province: Papua New Guinea] 598006 Northern [Province: Papua New Guinea] 598007 Southern Highlands, Hela [Province: Papua New Guinea] 598008 Enga [Province: Papua New Guinea] 598009 Western Highlands, Jiwaka [Province: Papua New Guinea] 598010 Chimbu [Province: Papua New Guinea] 598011 Eastern Highlands [Province: Papua New Guinea] 598012 Morobe [Province: Papua New Guinea] 598013 Madang [Province: Papua New Guinea] 598014 East Sepik [Province: Papua New Guinea] 598015 West Sepik [Province: Papua New Guinea] 598016 Manus [Province: Papua New Guinea] 598017 New Ireland [Province: Papua New Guinea] 598018 East New Britain [Province: Papua New Guinea] 598019 West New Britain [Province: Papua New Guinea] 598020 Autonomous Region of Bougainville [Province: Papua New Guinea] 598097 Foreign country [Province: Papua New Guinea] 598098 Unknown [Province: Papua New Guinea] 598099 NIU (not in universe) [Province: Papua New Guinea] 600001 Concepción [Department: Paraguay] 600002 San Pedro [Department: Paraguay] 600003 Cordillera [Department: Paraguay] 600004 Guaira [Department: Paraguay] 600005 Caaguazú, Canindeyú, Alto Paraná [Department: Paraguay] 600006 Caazapá [Department: Paraguay] 600007 Itapúa [Department: Paraguay] 600008 Misiones, Ñeembucú [Department: Paraguay] 600009 Paraguarí [Department: Paraguay] 600011 Central [Department: Paraguay] 600013 Amambay [Department: Paraguay] 600015 Alto Paraguay, Boquerón, Presidente Hayes [Department: Paraguay] 600019 Asunción [Department: Paraguay] 600097 Foreign Country [Department: Paraguay] 600098 Unknown [Department: Paraguay] 600999 NIU (not in universe) [Department: Paraguay] 604001 Amazonas [Department: Peru] 604002 Ancash [Department: Peru] 604003 Apurímac [Department: Peru] 604004 Arequipa [Department: Peru] 604005 Ayacucho [Department: Peru] 604006 Cajamarca [Department: Peru] 604007 Callao [Department: Peru] 604008 Cusco [Department: Peru] 604009 Huancavelica [Department: Peru] 604010 Huánuco [Department: Peru] 604011 Ica [Department: Peru] 604012 Junín [Department: Peru] 604013 La Libertad [Department: Peru] 604014 Lambayeque [Department: Peru] 604015 Lima [Department: Peru] 604016 Loreto [Department: Peru] 604017 Madre de Dios [Department: Peru] 604018 Moquegua [Department: Peru] 604019 Pasco [Department: Peru] 604020 Piura [Department: Peru] 604021 Puno [Department: Peru] 604022 San Martín [Department: Peru] 604023 Tacna [Department: Peru] 604024 Tumbes [Department: Peru] 604025 Ucayali [Department: Peru] 604097 Abroad [Department: Peru] 604099 NIU (not in universe) [Department: Peru] 608001 Abra [Province: Philippines] 608002 Agusan del norte [Province: Philippines] 608003 Agusan del sur [Province: Philippines] 608004 Aklan [Province: Philippines] 608005 Albay [Province: Philippines] 608006 Antique [Province: Philippines] 608007 Basilan, City Of Isabela [Province: Philippines] 608008 Bataan [Province: Philippines] 608010 Batangas [Province: Philippines] 608011 Benguet [Province: Philippines] 608012 Bohol [Province: Philippines] 608013 Bukidnon [Province: Philippines] 608014 Bulacan [Province: Philippines] 608015 Cagayan, Batanes [Province: Philippines] 608016 Camarines norte [Province: Philippines] 608017 Camarines Sur [Province: Philippines] 608018 Camiguin [Province: Philippines] 608019 Capiz [Province: Philippines] 608020 Catanduanes [Province: Philippines] 608021 Cavite [Province: Philippines] 608022 Cebu [Province: Philippines] 608023 Davao (Davao del Norte) [Province: Philippines] 608024 Davao del Sur, Davao Occidental [Province: Philippines] 608025 Davao Oriental [Province: Philippines] 608026 Eastern Samar [Province: Philippines] 608027 Ifugao [Province: Philippines] 608028 Ilocos Norte [Province: Philippines] 608029 Ilocos Sur [Province: Philippines] 608030 Iloilo, Guimaras [Province: Philippines] 608031 Isabela [Province: Philippines] 608032 Kalinga-Apayao, Apayo, Kalinga [Province: Philippines] 608033 La Union [Province: Philippines] 608034 Laguna [Province: Philippines] 608035 Lanao del Norte [Province: Philippines] 608036 Lanao del Sur, Maguindanao, Marawi City and Cotabato city [Province: Philippines] 608037 Leyte, Biliran [Province: Philippines] 608039 Manila [Province: Philippines] 608040 Marinduque [Province: Philippines] 608041 Masbate [Province: Philippines] 608042 Misamis Occidental [Province: Philippines] 608043 Misamis Oriental [Province: Philippines] 608044 Mountain Province [Province: Philippines] 608045 Negros Occidental [Province: Philippines] 608046 Negros Oriental [Province: Philippines] 608047 Cotabato (North Cotabato) [Province: Philippines] 608048 Northern Samar [Province: Philippines] 608049 Nueva Ecija [Province: Philippines] 608050 Nueva Vizcaya [Province: Philippines] 608051 Occidental Mindoro [Province: Philippines] 608052 Oriental Mindoro [Province: Philippines] 608053 Palawan [Province: Philippines] 608054 Pampanga [Province: Philippines] 608055 Pangasinan [Province: Philippines] 608056 Quezon [Province: Philippines] 608057 Quirino [Province: Philippines] 608058 Rizal [Province: Philippines] 608059 Romblon [Province: Philippines] 608060 Samar (Western Samar) [Province: Philippines] 608061 Siquijor [Province: Philippines] 608062 Sorsogon [Province: Philippines] 608063 South Cotabato, Sarangani [Province: Philippines] 608064 Southern Leyte [Province: Philippines] 608065 Sultan Kudarat [Province: Philippines] 608066 Sulu [Province: Philippines] 608067 Surigao Del Norte, Dinagat islands [Province: Philippines] 608068 Surigao del Sur [Province: Philippines] 608069 Tarlac [Province: Philippines] 608070 Tawi-Tawi [Province: Philippines] 608071 Zambales [Province: Philippines] 608072 Zamboanga Norte [Province: Philippines] 608073 Zamboanga del Sur, Zamboanga Sibugay [Province: Philippines] 608074 Manila Metro, 2nd District [Province: Philippines] 608075 Manila Metro, 3rd District [Province: Philippines] 608076 Manila Metro, 4th District [Province: Philippines] 608077 Aurora [Province: Philippines] 608097 Foreign country [Province: Philippines] 608098 Unknown [Province: Philippines] 608099 NIU (not in universe) [Province: Philippines] 620111 Minho-Lima [Subregion (NUTS-3): Portugal] 620112 Cávado [Subregion (NUTS-3): Portugal] 620113 Ave [Subregion (NUTS-3): Portugal] 620114 Grande Porto [Subregion (NUTS-3): Portugal] 620115 Tâmega [Subregion (NUTS-3): Portugal] 620116 Entre Douro e Vouga [Subregion (NUTS-3): Portugal] 620117 Douro [Subregion (NUTS-3): Portugal] 620118 Alto Trás-os-Montes [Subregion (NUTS-3): Portugal] 620150 Algarve [Subregion (NUTS-3): Portugal] 620161 Baixo Vouga [Subregion (NUTS-3): Portugal] 620162 Baixo Mondego [Subregion (NUTS-3): Portugal] 620163 Pinhal Litoral [Subregion (NUTS-3): Portugal] 620165 Dão-Lafões [Subregion (NUTS-3): Portugal] 620166 Oeste [Subregion (NUTS-3): Portugal] 620167 Médio Tejo [Subregion (NUTS-3): Portugal] 620169 Other Center [Subregion (NUTS-3): Portugal] 620171 Grande Lisboa [Subregion (NUTS-3): Portugal] 620172 Península de Setúbal [Subregion (NUTS-3): Portugal] 620185 Lezíria do Tejo [Subregion (NUTS-3): Portugal] 620189 Other Alentejo [Subregion (NUTS-3): Portugal] 620200 Região Autónoma dos Açores [Subregion (NUTS-3): Portugal] 620300 Região Autónoma da Madeira [Subregion (NUTS-3): Portugal] 620998 Foreign country [Subregion (NUTS-3): Portugal] 620999 NIU (not in universe) [Subregion (NUTS-3): Portugal] 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] 686098 Unknown [Region: Senegal] 686099 NIU (not in universe) [Region: Senegal] 694011 Kailahun [District: Sierra Leone] 694012 Kenema [District: Sierra Leone] 694013 Kono [District: Sierra Leone] 694021 Bombali [District: Sierra Leone] 694022 Kambia [District: Sierra Leone] 694023 Koinadugu [District: Sierra Leone] 694024 Port Loko [District: Sierra Leone] 694025 Tonkolili [District: Sierra Leone] 694031 Bo [District: Sierra Leone] 694032 Bonthe [District: Sierra Leone] 694033 Moyamba [District: Sierra Leone] 694034 Pujehun [District: Sierra Leone] 694041 Western Rural [District: Sierra Leone] 694042 Western Urban [District: Sierra Leone] 694097 Abroad [District: Sierra Leone] 694098 Unknown [District: Sierra Leone] 694099 NIU [District: Sierra Leone] 704001 Th nh Phố H Nội, Vĩnh Phúc, Ho Bình, Phú Thọ [Province: Vietnam] 704002 H Giang, Tuyên Quang [Province: Vietnam] 704003 Cao Bằng, Bắc Kạn, Thái Nguyên [Province: Vietnam] 704010 L o Cai, Điện Biên, Lai Châu, Yên Bái [Province: Vietnam] 704014 Sơn La [Province: Vietnam] 704020 Lạng Sơn [Province: Vietnam] 704022 Quảng Ninh [Province: Vietnam] 704024 Bắc Giang, Bắc Ninh [Province: Vietnam] 704030 Hải Dương, Hưng Yên [Province: Vietnam] 704031 Th nh Phố Hải Phòng [Province: Vietnam] 704034 Thái Bình [Province: Vietnam] 704035 H Nam, Nam Định, Ninh Bình [Province: Vietnam] 704038 Thanh Hoá [Province: Vietnam] 704040 Nghệ An, H Tĩnh [Province: Vietnam] 704044 Quảng Bình [Province: Vietnam] 704045 Quảng Trị [Province: Vietnam] 704046 Thừa Thiên Huế [Province: Vietnam] 704048 Th nh Phố Đ Nẵng, Quảng Nam [Province: Vietnam] 704051 Quảng Ngãi [Province: Vietnam] 704052 Bình Định [Province: Vietnam] 704054 Phú Yên [Province: Vietnam] 704056 Khánh Ho [Province: Vietnam] 704058 Ninh Thuận, Bình Thuận [Province: Vietnam] 704062 Kon Tum, Gia Lai [Province: Vietnam] 704066 Đắk Lắk, Đắk Nông [Province: Vietnam] 704068 Lâm Đồng [Province: Vietnam] 704070 Bình Phước, Bình Dương [Province: Vietnam] 704072 Tây Ninh [Province: Vietnam] 704075 Đồng Nai, B Rịa - Vũng T u [Province: Vietnam] 704079 Th nh Phố Hồ Chí Minh [Province: Vietnam] 704080 Long An [Province: Vietnam] 704082 Tiền Giang [Province: Vietnam] 704083 Bến Tre [Province: Vietnam] 704084 Tr Vinh, Vĩnh Long [Province: Vietnam] 704087 Đồng Tháp [Province: Vietnam] 704089 An Giang [Province: Vietnam] 704091 Kiên Giang [Province: Vietnam] 704092 Th nh Phố Cần Thơ, Hậu Giang, Sóc Trăng [Province: Vietnam] 704095 Bạc Liêu, C Mau [Province: Vietnam] 704097 Foreign Country [Province: Vietnam] 704098 Unknown [Province: Vietnam] 704099 NIU [Province: Vietnam] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710097 Foreign country [Province: South Africa] 710098 Unknown [Province: South Africa] 710099 NIU (not in universe) [Province: South Africa] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Foreign country [Communities & autonomous city: Spain] 724999 NIU [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] 840001 Alabama [State: United States] 840002 Alaska [State: United States] 840004 Arizona [State: United States] 840005 Arkansas [State: United States] 840006 California [State: United States] 840008 Colorado [State: United States] 840009 Connecticut [State: United States] 840010 Delaware [State: United States] 840011 District of Columbia [State: United States] 840012 Florida [State: United States] 840013 Georgia [State: United States] 840015 Hawaii [State: United States] 840016 Idaho [State: United States] 840017 Illinois [State: United States] 840018 Indiana [State: United States] 840019 Iowa [State: United States] 840020 Kansas [State: United States] 840021 Kentucky [State: United States] 840022 Louisiana [State: United States] 840023 Maine [State: United States] 840024 Maryland [State: United States] 840025 Massachusetts [State: United States] 840026 Michigan [State: United States] 840027 Minnesota [State: United States] 840028 Mississippi [State: United States] 840029 Missouri [State: United States] 840030 Montana [State: United States] 840031 Nebraska [State: United States] 840032 Nevada [State: United States] 840033 New Hampshire [State: United States] 840034 New Jersey [State: United States] 840035 New Mexico [State: United States] 840036 New York [State: United States] 840037 North Carolina [State: United States] 840038 North Dakota [State: United States] 840039 Ohio [State: United States] 840040 Oklahoma [State: United States] 840041 Oregon [State: United States] 840042 Pennsylvania [State: United States] 840044 Rhode Island [State: United States] 840045 South Carolina [State: United States] 840046 South Dakota [State: United States] 840047 Tennessee [State: United States] 840048 Texas [State: United States] 840049 Utah [State: United States] 840050 Vermont [State: United States] 840051 Virginia [State: United States] 840053 Washington [State: United States] 840054 West Virginia [State: United States] 840055 Wisconsin [State: United States] 840056 Wyoming [State: United States] 840097 Abroad [State: United States] 840098 Unknown [State: United States] 840999 NIU (not in universe) [State: United States] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 858097 Abroad [Department: Uruguay] 858098 Unknown [Department: Uruguay] 858999 NIU (not in universe) [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 862097 Foreign country [State: Venezuela] 862098 Unknown [State: Venezuela] 862099 NIU (not in universe) [State: Venezuela] Migration: Global Variables -- PERSON Division of residence 5 years ago, Fiji; consistent boundaries, GIS MIG1_5_FJ indicates the person's division of residence 5 years ago within Fiji. 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. 242001 Central 242002 Eastern 242003 Northern 242004 Western 242097 Foreign country 242098 Unknown 242999 NIU (not in universe) Migration: F-N Variables -- PERSON Province of residence 5 years ago, Fijii; consistent boundaries, GIS MIG2_5_FJ indicates the person's province of residence 5 years ago within Fiji. Migration canton codes from MIG2_5_FJ are compatible with codes from GEO2_FJ. 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. 242001001 Naitasiri 242001002 Rewa 242001003 Serua, Namosi 242001004 Tailevu 242002001 Kadavu, Lau, Lomaiviti, Rotuma 242003001 Cakaudrove, Bua 242003002 Macuata 242004001 Ba 242004002 Nadroga or Navosa 242004003 Ra 242097097 Foreign Country 242098098 Unknown 242099099 NIU Migration: F-N Variables -- PERSON Employment disability DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Person number (within household) Fiji 1986: All records This variable indicates the person number (within the 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 Person number Fiji 1986: All persons This variable indicates the person number. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 Technical Person Variables -- PERSON Relationship to head of household <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A401">2. Relationship<br /><div class="i1">To head of household<br />____</div><br /></svar> <svar a="all" v="FJ86A401"><span class="em">Questions 1 and 2 - Name and relationship</span><br /><br />69. Ask, "Who stayed here on census night?"<br /><br />70. It is important that you list the names in a set order so that you have a clear picture of the household from the very beginning.<br /><br />71. List members of the household by family. Start with the head and his wife and unmarried children, beginning with the eldest and working down to the youngest. Then enter married children and their spouses and children. Then list other relatives and their wives and children who were in the household on census night. Finally list those who are not related to the head or anyone else in the household.<br /><br />72. Very young children are sometimes forgotten, so pay particular attention to getting all babies counted. If the infant has no name, write "Baby of ____" and enter the mother's person number.<br /><br />73. Remember to enquire about and to include night workers.<br /><br /><span class="pg">[p. 9]</span><br /><br />74. When you have written the names of all who were in the household on census night read over the list and ask, "Is that correct?" If not, correct the list. Then ask, "Was there anyone else here on census night?" If there was, include them.<br /><br />Then look about you. If you see infants or children whose mothers are included, or very old or infirm people, ask further questions, "What about that child? Is he or she listed? Was that old man here on census night? Are there any night workers?" You must be sure that everyone who was present on census night is included.<br /><br />75. We do not require the person's full name. It will be enough for the purposes of the census to record the name by which the person is known so that he or she may be identified by supervisors and superintendents checking your work.<br /><br />76. At the same time as you write names on line 1, enter the relationship on line 2.<br /><br />77. Write "Head" under the name of the head of household. Then write the relationship of each person to the head or to his/her parents if they are present, or show the relationship to the husband/wife.<br /><br />78. Relate children to their parents, if present, and husbands and wives, if present. In other cases relate persons to the head of the household.<br /><br />79. Since every person will be entered under the number at the top of the column, his/her relationship may easily be written as "Wife of 1", "Son of 1 and 2", "Daughter of 4", and so on.<br /><br />80. Describe the relationships accurately. Be particularly careful to distinguish between children born of the parents and adopted or step children.<br /><br />81. Where a man and woman live together, although not married, you should treat them as man and wife if they regard themselves as such. The census is not concerned with the form of marriage.<br /><br />82. The following relationships will cover all the cases with which the census is concerned: Head, Wife, Husband, Son (S), Daughter (D), Adopted Son (AS), Adopted Daughter (AD), Grandson (GS), Granddaughter (GD), Mother, and Father.<br /><br />For all other relatives write "Relative". If the persons is in none of these categories write "Other". For persons in institutions it will be sufficient to write "Patient", "Prisoner", or as the case may be.<br /><br />83. Where several persons who are not related are living in a household, name one as head and describe the rest as "Partner".<br /></svar> Fiji 1986: All persons This variable indicates the person's relationship to the head of household. 01 Head 02 Spouse 03 Unmarried child 04 Married child 05 Spouse of child 06 Grandchild or great-grand child 07 Parent 08 Other relative 09 Non-relative 98 Unknown Demographic Variables -- PERSON Sex <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A402">3. Sex<br /><div class="i1">M for males, F for females<br />_</div><br /></svar> <svar a="all" v="FJ86A402"><span class="em">Question 3 - Sex</span><br /><br />84. "Is this person male or female?" Write M for males and F for females.<br /><br />85. Usually the person's sex will be clear to you from the name and relationship but if you don't know, ask. Never guess. Be particularly careful to get the sex of infants right. Check that the sex you record is compatible with relationship -- don't write M for persons shown as wives or daughters, nor F for persons shown as husbands or sons.<br /></svar> Fiji 1986: All persons This variable indicates the person's gender. 1 Male 2 Female Demographic Variables -- PERSON Month of birth <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A404 FJ86A405 FJ86A406">4. Date of birth<br /><div class="i1">If date unknown, estimate year<br />Day____<br />Month_____<br />Year____</div><br /></svar> <svar v="FJ86A404 FJ86A405 FJ86A406"><span class="em">Question 4 - Date of birth</span><br /><br />86. "When was this person born?" Write the day, the month and the year of birth.<br /><br />87. Whether or not the day and month are known, you must enter a year of birth for all persons.<br /><br />88. And for children born 1980-1986 you must try particularly hard to get at least the month and the year.<br /><br />89. This question is one of the most important in the census and it may be the most difficult to answer. You will find many people who do not know their date of birth. In these cases you will have to estimate the year of birth.<br /><br />90. The best source of information will be birth certificates or baptismal certificates and some families have a Bible in which birth dates are recorded. Ask to see any documents which are available.<br /><br />91. Some people may not know their date of birth but may know their age. Ask, "How old is this person?" If the age is known, calculate the year of birth.<br /><br />92. One reliable birthdate in the household may help you to work out the birthdates of other members of the household if it is known whether they are younger or older and by how many years.<br /><br />93. If all else fails, make the best estimate you can, judging by such things as the person's appearance and position in the household and by using your common sense knowledge that parents are seldom younger than sixteen years of age when their first child is born, that women do not usually bear children below the age of twelve or over fifty years, that people who were in the same class at school are generally closely similar in age and so on.<br /><br />94. If you are entering only the year of birth, because day and month are not known, write the year in full -- for example, 1942 or 1969. In this way there can be no confusion between year of birth and age.<br /></svar> Fiji 1986: All persons This variable indicates the person's month of birth. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown Demographic Variables -- PERSON Year of birth <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A404 FJ86A405 FJ86A406">4. Date of birth<br /><div class="i1">If date unknown, estimate year<br />Day____<br />Month_____<br />Year____</div><br /></svar> <svar v="FJ86A404 FJ86A405 FJ86A406"><span class="em">Question 4 - Date of birth</span><br /><br />86. "When was this person born?" Write the day, the month and the year of birth.<br /><br />87. Whether or not the day and month are known, you must enter a year of birth for all persons.<br /><br />88. And for children born 1980-1986 you must try particularly hard to get at least the month and the year.<br /><br />89. This question is one of the most important in the census and it may be the most difficult to answer. You will find many people who do not know their date of birth. In these cases you will have to estimate the year of birth.<br /><br />90. The best source of information will be birth certificates or baptismal certificates and some families have a Bible in which birth dates are recorded. Ask to see any documents which are available.<br /><br />91. Some people may not know their date of birth but may know their age. Ask, "How old is this person?" If the age is known, calculate the year of birth.<br /><br />92. One reliable birthdate in the household may help you to work out the birthdates of other members of the household if it is known whether they are younger or older and by how many years.<br /><br />93. If all else fails, make the best estimate you can, judging by such things as the person's appearance and position in the household and by using your common sense knowledge that parents are seldom younger than sixteen years of age when their first child is born, that women do not usually bear children below the age of twelve or over fifty years, that people who were in the same class at school are generally closely similar in age and so on.<br /><br />94. If you are entering only the year of birth, because day and month are not known, write the year in full -- for example, 1942 or 1969. In this way there can be no confusion between year of birth and age.<br /></svar> Fiji 1986: All persons This variable indicates the person's year of birth. 1900 1900 or earlier 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 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 9998 Unknown Demographic Variables -- PERSON Age <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A404 FJ86A405 FJ86A406">4. Date of birth<br /><div class="i1">If date unknown, estimate year<br />Day____<br />Month_____<br />Year____</div><br /></svar> <svar v="FJ86A404 FJ86A405 FJ86A406"><span class="em">Question 4 - Date of birth</span><br /><br />86. "When was this person born?" Write the day, the month and the year of birth.<br /><br />87. Whether or not the day and month are known, you must enter a year of birth for all persons.<br /><br />88. And for children born 1980-1986 you must try particularly hard to get at least the month and the year.<br /><br />89. This question is one of the most important in the census and it may be the most difficult to answer. You will find many people who do not know their date of birth. In these cases you will have to estimate the year of birth.<br /><br />90. The best source of information will be birth certificates or baptismal certificates and some families have a Bible in which birth dates are recorded. Ask to see any documents which are available.<br /><br />91. Some people may not know their date of birth but may know their age. Ask, "How old is this person?" If the age is known, calculate the year of birth.<br /><br />92. One reliable birthdate in the household may help you to work out the birthdates of other members of the household if it is known whether they are younger or older and by how many years.<br /><br />93. If all else fails, make the best estimate you can, judging by such things as the person's appearance and position in the household and by using your common sense knowledge that parents are seldom younger than sixteen years of age when their first child is born, that women do not usually bear children below the age of twelve or over fifty years, that people who were in the same class at school are generally closely similar in age and so on.<br /><br />94. If you are entering only the year of birth, because day and month are not known, write the year in full -- for example, 1942 or 1969. In this way there can be no confusion between year of birth and age.<br /></svar> Fiji 1986: All persons This variable indicates the person's age in years. 00 Under 1 year 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85+ 98 Unknown Demographic Variables -- PERSON Ethnicity <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A407">5. Ethnic group<br /><div class="i1">Chinese, part-Chinese, European, Fijian, Indian, Rotuman, Tongan, etc.<br />____</div><br /></svar> <svar a="all" v="FJ86A407"><span class="em">Question 5 - Ethnic group</span><br /><br />95. "Is this person Chinese, part-Chinese, European, Fijian, Indian, part-European, Rotuman, Banaban, Samoan, Tongan, etc.?"<br /><br />96. Record the group or race to which the person considers he or she belongs. If there is any doubt as to the person's racial origin, record the father's.<br /><br />97. You may write F for Fijian and I for Indian. Write other groups/races in full.<br /></svar> Fiji 1986: All persons This variable indicates the person's ethnicity. 1 Fijian 2 Indian 3 Chinese 4 European 5 Part European 6 Rotuman 7 Other Pacific Islander 8 Other ethnicity Ethnicity and Language Variables -- PERSON Marital status <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A408">6. Marital status<br /><div class="i1">Never married, married, widowed, divorced or separated<br />____</div><br /></svar> <svar a="all" v="FJ86A408"><span class="em">Question 6 - Marital status</span><br /><br />98. "Is this person married?"<br /><br />99. For persons who have never been married, including children, write "NM".<br /><br />100. People living together as man and wife should be shown as married whether or not they have been through any civil or religious ceremonies. The census is not concerned with who is legally married and who is not. Accept the answer as it is given to you.<br /><br />101. Widowed is for a person, male or female, who has been married but whose spouse has died and who has not remarried at the time of the census.<br /><br />102. Separated or divorced is for a person who has been married but who has divorced or separated and is living as such at the time of the census. Accept the answer as it is given you.<br /><br />103. You may use the following abbreviations:<br /><div class="i1">NM - for never married<br />M - for married<br />WID - for widowed<br />SEP - for separated<br />DIV - for divorced</div><br /></svar> Fiji 1986: All persons This variable indicates the person's marital status. 1 Never married 2 Married 3 Widowed 4 Divorced or separated 8 Unknown Demographic Variables -- PERSON Father alive <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A409">7. Real father<br /><div class="i1">Alive or dead<br />____</div><br /></svar> <svar a="all" v="FJ86A409 FJ86A410"><span class="em">Question 7 - Real father</span><br /><br />104. "Is this person's real father alive?"<br /><br />105. Write "Alive" or "Dead" in respect of the person's real, natural father. (Not a father who may have adopted the person being enumerated)<br /><br /><span class="pg">[p. 12]</span><br /><br />106. "Is this person's real mother alive?"<br /><br />107. Write "Alive" or "Dead" in respect of the person's real mother, that is, the woman who bore him/her. (Not a mother who may have adopted the person being enumerated)<br /><br />108. If the person's real mother is alive, ask: "Was this person's mother in the household on census night?"<br /><br />109. If the answer is "Yes" and the person's real mother was present in the household, write the mother's person number. (If, for example, the person's real mother was present and her particulars are recorded in column 2, write her person number '2'). This allows 'mothers' and their 'own children' to be linked by person number in the one household.<br /><br />110. If the person's mother was not in the household but was somewhere else, write "Not Present" which you may shorten to "NP".<br /></svar> Fiji 1986: All persons This variable indicates whether or not the person's father is alive. 1 Alive 2 Dead 8 Unknown Fertility and Mortality Variables -- PERSON Mother alive <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A410">8. Real mother<br /><div class="i1">Alive or dead / person number if present<br />____ / __</div><br /></svar> <svar a="all" v="FJ86A409 FJ86A410"><span class="em">Question 7 - Real father</span><br /><br />104. "Is this person's real father alive?"<br /><br />105. Write "Alive" or "Dead" in respect of the person's real, natural father. (Not a father who may have adopted the person being enumerated)<br /><br /><span class="pg">[p. 12]</span><br /><br />106. "Is this person's real mother alive?"<br /><br />107. Write "Alive" or "Dead" in respect of the person's real mother, that is, the woman who bore him/her. (Not a mother who may have adopted the person being enumerated)<br /><br />108. If the person's real mother is alive, ask: "Was this person's mother in the household on census night?"<br /><br />109. If the answer is "Yes" and the person's real mother was present in the household, write the mother's person number. (If, for example, the person's real mother was present and her particulars are recorded in column 2, write her person number '2'). This allows 'mothers' and their 'own children' to be linked by person number in the one household.<br /><br />110. If the person's mother was not in the household but was somewhere else, write "Not Present" which you may shorten to "NP".<br /></svar> Fiji 1986: All persons This variable indicates whether or not the person's mother is alive. 1 Alive 2 Dead 8 Unknown Fertility and Mortality Variables -- PERSON Mother's person number Fiji 1986: All persons This variable indicates the mother's person number if the mother was present during the Census night. 00 No mother identified 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 23 23 24 24 26 26 27 27 28 28 29 29 30 30 Constructed Family Interrelationship Variables -- PERSON Age of mother Fiji 1986: Persons whose mother was identified in the household [discrepancies: type I trace; type II 0.2%] This variable indicates the age of the person's mother if the mother was present during the Census night. 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 98 Unknown 99 NIU (not in universe) Constructed Family Interrelationship Variables -- PERSON Religion <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A413">9. Religion<br /><div class="i1">Exact denomination or sect<br />____</div><br /></svar> <svar a="all" v="FJ86A413"><span class="em">Question 9 - Religion</span><br /><br />111. "What is this person's religion?"<br /><br />112. People are not compelled to answer this question. If a person refuses to state a religion or objects to doing so, write "Objects".<br /><br />113. Write the religion and the denomination of the person -- for example, "Christian Methodist", "Hindu - Arya Samaj", or "Muslim - Amadhya".<br /><br />114. If the person has no religion write "None".<br /><br />115. Once you have established the religion of the head of the household you may ask, "Are all members of the household of the same religion?"<br /><br />116. If they are, you may write the initials rather than writing religion and denomination in full for all members of the household. Thus, if the head and everyone else in the household are of the Methodist Church you should write "Christian Methodist" for the head and you may write "CM" for the rest.<br /></svar> Fiji 1986: All persons This variable indicates the person's religion. 01 Anglican 02 Assembly of God 03 Catholic 04 Methodist 06 Seventh Day Adventist 07 Other Christian 08 Arya Samaj Hindu 09 Sanathan Hindu 10 Other Hindu 11 Sikh 12 Ahmadya Muslim 13 Sunni Muslim 14 Other Muslim 15 Other religion 17 No religion Ethnicity and Language Variables -- PERSON Province or country of birth <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A414 FJ86A415">10. Place of birth<br /><div class="i1">If in hospital, where mother lived. Province [in Fiji], country if outside Fiji.<br />____<br />Town if urban area, village or settlement if rural.<br />____</div><br /></svar> <svar a="all" v="FJ86A414 FJ86A415"><span class="em">Question 10 - Place of birth</span><br /><br />117. "Where was this person's mother living when he or she was born?"<br /><br />118. The question is put in this way because we wish to know the mother's usual place of residence at the time and not the location of the hospital in which she may have borne the person.<br /><br /><span class="pg">[p. 13]</span><br /><br />119. If the person was born in Fiji write first the name of the province. On the second line write the name of the town, if the place was urban. If the place was rural, write the village or settlement.<br /><br />120. It is important for the census to distinguish between urban and rural areas. In this sense 'urban' means the whole of the urban or built-up area, not just the gazetted [officially listed] city or town boundaries. For example, Kinoya is urban even though it is outside the Suva City boundary. If you receive an answer such as "Ba" or "Nadi" or "Labasa", ask whether the person is referring to the urban or to the rural area surrounding it. Add the letter 'U' for urban or 'R' for rural as appropriate.<br /><br />121. If the person was born on one of the small islands such as those in the Lomaiviti, Lau, or Yasawa groups write the name of the island rather than the name of the village.<br /><br />122. If the person was born outside Fiji write the name of the country - for example, India, New Zealand, Tonga, Western Samoa, Tuvalu, etc.<br /></svar> Fiji 1986: All persons This variable indicates the province or country of birth of the person. 01 Ba 02 Bua 03 Cakaudrove 04 Kadavu 05 Lau 06 Lomaiviti 07 Macuata 08 Nadroga 09 Naitasiri 10 Namosi 11 Ra 12 Rewa 13 Serua 14 Tailevu 15 Rotuma 24 Samoa 25 Tonga 26 Other Polynesia Islands 28 Vanuatu 29 Solomon Islands 30 Other Melanesia Islands 31 Kiribati 35 Other Micronesia Islands 36 United Kingdom 38 Australia 39 New Zealand 40 North America 41 India, Pakistan, and Bangladesh 42 China 44 Other countries Nativity and Birthplace Variables -- PERSON Place of birth (either rural area or town if urban area) <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A414 FJ86A415">10. Place of birth<br /><div class="i1">If in hospital, where mother lived. Province [in Fiji], country if outside Fiji.<br />____<br />Town if urban area, village or settlement if rural.<br />____</div><br /></svar> <svar a="all" v="FJ86A414 FJ86A415"><span class="em">Question 10 - Place of birth</span><br /><br />117. "Where was this person's mother living when he or she was born?"<br /><br />118. The question is put in this way because we wish to know the mother's usual place of residence at the time and not the location of the hospital in which she may have borne the person.<br /><br /><span class="pg">[p. 13]</span><br /><br />119. If the person was born in Fiji write first the name of the province. On the second line write the name of the town, if the place was urban. If the place was rural, write the village or settlement.<br /><br />120. It is important for the census to distinguish between urban and rural areas. In this sense 'urban' means the whole of the urban or built-up area, not just the gazetted [officially listed] city or town boundaries. For example, Kinoya is urban even though it is outside the Suva City boundary. If you receive an answer such as "Ba" or "Nadi" or "Labasa", ask whether the person is referring to the urban or to the rural area surrounding it. Add the letter 'U' for urban or 'R' for rural as appropriate.<br /><br />121. If the person was born on one of the small islands such as those in the Lomaiviti, Lau, or Yasawa groups write the name of the island rather than the name of the village.<br /><br />122. If the person was born outside Fiji write the name of the country - for example, India, New Zealand, Tonga, Western Samoa, Tuvalu, etc.<br /></svar> Fiji 1986: All persons This variable indicates the place of birth (rural area or specific name of town if urban area) of the person. 00 Rural 01 Suva 02 Lami 03 Nausori 04 Lutoka 05 Nadi 06 Ba 07 Sigatoka 08 Labasa 09 Savusavu 10 Levuka 11 Rakiraki 12 Tavua 13 Vatukoula 14 Navua 15 Korovou 45 Other area or town Nativity and Birthplace Variables -- PERSON Province or country of residence in 1981 <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A416 FJ86A417">11. Where living in 1981<br /><div class="i1">Province [in Fiji], country if outside Fiji<br />____<br />Town if urban area, village or settlement if rural.<br />____</div><br /></svar> <svar a="all" v="FJ86A416 FJ86A417"><span class="em">Question 11 - Where living in 1981</span><br /><br />123. "Where was this person living in 1981?"<br /><br />124. For persons who were living in Fiji write first the name of the province, and on the second line write the name of the town or of the village or settlement if the place was rural. Distinguish urban from rural places by adding the letters 'U' for urban or 'R' for rural as appropriate.<br /><br />125. If the person was born on one of the small islands such as those in the Lomaiviti, Lau, or Yasawa groups write the name of the island rather than the name of the village.<br /><br />126. Record the province and locality where the person normally lived and worked in 1981. A person who may have been away from home temporarily should be shown where he or she normally lived.<br /><br />127. If the person changed residence in 1981, record the place where he or she was living on 31 August.<br /><br />128. For persons who were living outside Fiji write the name of the country.<br /><br />129. If the person was born in 1982 or after, write "Not Born", which you may shorten to "NB".<br /><br />130. It is necessary to make enquiry for each member of the household. Do not assume that all members of the household lived in the same place five years ago -- members may have been separated for schooling or work and others may have joined the household on marriage, widowhood, adoption, for schooling or for other reasons.<br /></svar> Fiji 1986: Persons age 5+ [discrepancies: none] This variable indicates the province or country of residence of the person in 1981. 01 Ba 02 Bua 03 Cakaudrove 04 Kadavu 05 Lau 06 Lomaiviti 07 Macuata 08 Nadroga 09 Naitasiri 10 Namosi 11 Ra 12 Rewa 13 Serua 14 Tailevu 15 Rotuma 24 Samoa 25 Tonga 26 Other Polynesia Islands 28 Vanuatu 29 Solomon Islands 30 Other Melanesia Islands 31 Micronesia Islands 36 United Kingdom 38 Australia 39 New Zealand 40 North America 41 India, Pakistan, and Bangladesh 44 Other countries 99 NIU (not in universe) Migration: Global Variables -- PERSON Residence in 1981 (either rural area or town if urban area) <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A416 FJ86A417">11. Where living in 1981<br /><div class="i1">Province [in Fiji], country if outside Fiji<br />____<br />Town if urban area, village or settlement if rural.<br />____</div><br /></svar> <svar a="all" v="FJ86A416 FJ86A417"><span class="em">Question 11 - Where living in 1981</span><br /><br />123. "Where was this person living in 1981?"<br /><br />124. For persons who were living in Fiji write first the name of the province, and on the second line write the name of the town or of the village or settlement if the place was rural. Distinguish urban from rural places by adding the letters 'U' for urban or 'R' for rural as appropriate.<br /><br />125. If the person was born on one of the small islands such as those in the Lomaiviti, Lau, or Yasawa groups write the name of the island rather than the name of the village.<br /><br />126. Record the province and locality where the person normally lived and worked in 1981. A person who may have been away from home temporarily should be shown where he or she normally lived.<br /><br />127. If the person changed residence in 1981, record the place where he or she was living on 31 August.<br /><br />128. For persons who were living outside Fiji write the name of the country.<br /><br />129. If the person was born in 1982 or after, write "Not Born", which you may shorten to "NB".<br /><br />130. It is necessary to make enquiry for each member of the household. Do not assume that all members of the household lived in the same place five years ago -- members may have been separated for schooling or work and others may have joined the household on marriage, widowhood, adoption, for schooling or for other reasons.<br /></svar> Fiji 1986: Persons age 5+ [discrepancies: none] This variable indicates the place of residence (rural area or specific town if urban area) of the person in 1981. 00 Rural 01 Suva 02 Lami 03 Nausori 04 Lutoka 05 Nadi 06 Ba 07 Sigatoka 08 Labasa 09 Savusavu 10 Levuka 11 Rakiraki 12 Tavua 13 Vatukoula 14 Navua 15 Korovou 45 Others 99 NIU (not in universe) Migration: Global Variables -- PERSON School attendance <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A418">12. School attendance<br /><div class="i1">Attending school, left school, never been<br />____</div><br /></svar> <svar a="all" v="FJ86A418"><span class="em">Question 12 - School attendance</span><br /><br />131. "Is this person attending school this year?"<br /><br />132. A person is either:<br /><div class="i1">Attending school - write "At"<br />Has left school - write "Left"<br />Or has never been to school - write "Never"</div><br /><br />In this sense, 'school' means any educational establishment in which primary or secondary education is given on a full-time basis.<br /></svar> Fiji 1986: All persons This variable indicates whether or not the person is attending or has attended school. 1 Attending 2 Not attending 8 Unknown Education Variables -- PERSON Educational attainment <svar v="FJ86A401 FJ86A402 FJ86A404 FJ86A405 FJ86A407 FJ86A408 FJ86A409 FJ86A410 FJ86A413 FJ86A414 FJ86A415 FJ86A416 FJ86A417 FJ86A418 FJ86A419"><span class="em">For all persons</span><br /> [Questions 1-13 were asked of all persons]<br /></svar></p> <p><svar a="all" v="FJ86A419">13. Educational attainment<br /><div class="i1">Highest level attained<br />____</div><br /></svar> <svar a="all" v="FJ86A419"><span class="em">Question 13 - Educational attainment</span><br /><br />133. "What is the highest level of education this person has attained?"<br /><br />134. State the highest class or form the person reached or is attending if still at school. If the person has never been to school, write "none". You may shorten class and form by writing "CI 4" or "F 3" or as the case may be.<br /><br />135. If the person has been to secondary school, has left secondary school and has successfully completed some post-secondary training or gained some post-secondary qualification, write details -- in such cases give degrees by their usual initials. Enter "Teach TC", "Med. FSM", "Nurse FSM" or as appropriate for other training. If the person has more than one post-secondary qualification, enter the one the person considers most important.<br /><br />136. If the person attended an informal or unrecognized school outside the formal primary/secondary system, such as a Bible class, write "Unrecognized" which you may shorten to "Unrec".<br /><br />137. This completes the questions which are to be asked of all persons. Make sure there is an entry in each box and that the entry is correct.<br /></svar> Fiji 1986: All persons This variable indicates the highest level of education the person has attained. 00 No education 01 Primary, 1 year 02 Primary, 2 years 03 Primary, 3 years 04 Primary, 4 years 05 Primary, 5 years 06 Primary, 6 years 11 Secondary, 1 year 12 Secondary, 2 years 13 Secondary, 3 years 14 Secondary, 4 years 15 Secondary, 5 years 16 Secondary, 6 years 17 Tertiary 98 Unknown Education Variables -- PERSON Type of activity last week <svar v="FJ86A420 FJ86A421 FJ86A422 FJ86A423"><span class="em">For all persons born in 1971 or before</span><br />[Questions 14-17 were asked of all persons born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A420">14. Type of activity last week<br /><div class="i1">What did the person do last week? Cash work or other work.<br />____<br /><br />If no work, what was the reason? Looking for work, not looking, housewife, student, pensioner, too old, disabled, etc.<br />____</div><br /></svar> <svar a="all" v="FJ86A420"><span class="em">Question 14 - Type of activity last week</span><br /><br />142. "What did this person do last week?"<br /><br />143. A person either worked last week or did not.<br /><br />144. By work we mean any activity concerned with providing the necessities of life for the person or the person's family or household. The question applies to women as well as men.<br /><br />145. Anyone who was active last week, in any way, in providing for themselves or the household worked. It does not matter whether they had a job or were paid for what they did. A person who farmed, fished, cut copra, looked after livestock, replaced thatch on a roof, or cultivated in a vegetable garden worked. So did a person who was in paid employment.<br /><br />146. Those who worked fall into two categories for the purposes of the census -- those who worked mainly for money last week and those who provided for themselves in other ways.<br /><br /><div class="i1">Cash work: A person who was employed last week or who worked mainly for cash is a cash worker. Such a person may have had a paid job or may have worked on his or her own account making, growing, or selling things for money.<br /><br />Other work: Many people provide for themselves or their families in other ways than by working for cash. Such people may perform a variety of tasks in growing, gathering produce, or fishing to feed their families and may sell some produce. But such people are not mainly working to sell produce for cash.</div><br /><br />147. A person may have combined cash work and other last week. In such cases write "cash work".<br /><br /><span class="pg">[p. 16]</span><br /><br />148. A person may not have worked last week because he or she was temporarily absent from work by reason of being on holiday, sickness, or for some other reason. In such cases ask about the person's normal activity. A teacher on holiday, for example, may not have been teaching last week because the schools were closed. Such people should be regarded as having worked.<br /><br />149. If a person did no work, ask: "What was the reason?"<br /><br />150. There are many reasons why a person may have done no work last week. Those which are most important to the census are:<br /><br /><div class="i1">Looking for work: This applies to people who would have worked, who wanted to work and who actively looked for work last week. The test is, "Did this person do anything about finding work?"<br /><br />Not looking for work: This category applies to those of working age who were capable of working but who did no work last week and did nothing about finding work, either because they knew there were no jobs available or because they did not want to work. The test is, 'Did this person do anything to provide for himself or herself?' If he or she did so, enter "cash work" or "other work" as appropriate. Only if the person did nothing last week and was dependent upon others for food or shelter should you enter "Not looking".<br /><br />Housewife: This applies to those who did not work last week and were occupied with purely domestic duties around the house. Many housewives combine domestic duties with working outside the house -- in the garden, collecting food, or in paid employment. In such cases you should write "cash work" or "other work" as appropriate.<br /><br />Student: If the person is attending school, a training course, or a university full-time, write "Student". Full-time students will be on holiday at the time of the census and some may have worked last week but for the purpose of the census such people should be entered as "Student".<br /><br />Other: There are other reasons why a person may have done no work last week. Ask and record the reason -- 'too old', 'disabled', 'pensioner', 'patient', or as the case may be.</div><br /><br /></svar> Fiji 1986: Persons born in 1971 or before. [Discrepancies: Type I 0.3%; Type II 1%] This variable indicates the type of activity the person was doing the week before the Census. 01 Cash work 02 Other work 03 Looking for work 04 Not looking for work 05 Home makers 06 Students 07 Disabled 08 Others 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation <svar v="FJ86A420 FJ86A421 FJ86A422 FJ86A423"><span class="em">For all persons born in 1971 or before</span><br />[Questions 14-17 were asked of all persons born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A421">15. Occupation<br /><div class="i1">What is the person's occupation?<br />What kind of work does the person do?<br />____</div><br /></svar> <svar v="FJ86A421 FJ86A422 FJ86A423">151. Questions 15, 16 and 17 apply to all persons who worked last week -- that is to all persons for whom you have entered "cash work" or "other work". For the rest, leave blank.<br /></svar></p> <p><svar a="all" v="FJ86A421"><span class="em">Question 15 - Occupation</span><br /><br />152. We require an exact description of the kind of work the person did last week. Ask, "What kind of work did this person do last week?"<br /><br />153. It is sometimes difficult to get an exact answer but you should always aim to provide a two or three word description of the person's job. A vague single word description is not enough. Avoid general terms such as 'manager', 'clerk', 'mechanic', 'foreman', 'teacher', 'operator', or 'laborer'. Record exactly what a person did -- for example, 'sales manager', 'typist clerk', 'motor mechanic', 'foreman, carpenter', 'primary teacher', 'forklift operator', 'stevedore'.<br /><br />154. You will find it best to speak to the person concerned whenever possible. Members of the household are often vague as to the occupations of others.<br /><br />155. If the person is employed you may find that you get a more accurate idea of his/her job by asking for the job title and recording that.<br /><br />156. A person may have done more than one kind of job last week. In such a case you should record his main job -- the one he spends most time at -- that which he usually does.<br /><br />157. If the person combines paid employment with unpaid work you should record the paid job rather than the unpaid job -- for example, if the person is a bus driver and worked last weekend on his farm he should be entered as 'bus driver' and if the person is a housewife who went to market to sell food she should be entered as 'market food seller'.<br /><br />158. A person engaged temporarily on the census should state his/her usual occupation. Thus if you are a secondary school teacher and are working as a census supervisor or enumerator, your occupation should be recorded as 'secondary teacher'.<br /><br />159. Many people may be described generally as 'farmer'. It is particularly important that we know exactly what kind of farmers they are.<br /><br />160. Farmers in Fiji fall into two main categories. Those who live and farm in Fijian villages on communal land and those who farm outside the Fijian village system.<br /><br />161. A Fijian living in his/her village, sharing the communal life of the village, who worked in village agriculture last week and who did no other work may be described as 'villager'. Such a person may perform a variety of tasks in growing or gathering produce, hunting, or fishing to feed and clothe his/her family and may sell some produce but is not a commercial farmer.<br /><br />162. Some Fijian villagers grow crops such as <span class="lang">dalo</span>, <span class="lang">yaqona</span>, or ginger mainly for sale. Such persons should be described as 'growing <span class="lang">dalo</span>' or 'growing <span class="lang">yaqona</span>' or as the case may be and not as 'villager'.<br /><br />163. In describing the occupations of persons who farm outside the Fijian village system you must be precise -- for example, write 'cane farmer', 'rice grower', 'dairyman', or 'poultry farm worker'. Avoid the vague word -- do not write 'farmer' or 'laborer'.<br /><br /><span class="pg">[p. 18]</span><br /><br />164. Many of these farmers engage in more than one activity but in describing the work done you should pick out the person's main crop or activity -- the one to which he/she devotes most time -- the one which he/she regards as most important -- the one which is commercial. You will thus be able to describe a person as 'growing coconuts', 'raising cattle', 'market gardening', and so on.<br /><br />165. The term 'cane farmer' should be used only of the person who owns or leases the land on which the cane is grown. Others working on the farm should be described as 'cane farm workers' unless they do a specific job such as 'cane cutter'. The same distinction should be made between those who own, lease or operate dairy farms, cattle farms, or copra plantations and those who work on them.<br /><br /></svar> Fiji 1986: Persons born in 1971 or before and worked last week (cash work or other work) [Discrepancies: Type I 0.1%; Type II 0.2%] This variable describes the occupation of the person who worked the week before the Census. 013 Physical scientists not elsewhere classified 014 Physical science technicians 021 Architects and town planners 022 Civil engineers 023 Electrical and electronics engineers 024 Mechanical engineers 029 Engineers not elsewhere classified 031 Surveyors 032 Draughtsmen 033 Civil engineering technicians 034 Electrical and electronics engineering technicians 035 Mechanical engineering technicians 039 Engineering technicians not elsewhere classified 041 Aircraft pilots, navigators, and flight engineers 042 Ships' deck officers and pilots 043 Ships' engineers 053 Agronomists and related scientists 054 Life sciences technicians 059 Life scientists not elsewhere classified 061 Medical doctors 062 Medical assistants 063 Dentists 064 Dental assistants 067 Pharmacists 068 Pharmaceutical assistants 071 Professional nurses 072 Nursing personnel not elsewhere classified 076 Physiotherapists and occupational therapists 077 Medical xray technicians 079 Medical, dental, veterinary, and related workers not elsewhere classified 081 Statisticians and systems analysts 084 Statistical and mathematical technicians 090 Economists 110 Accountants 125 Jurists 131 University and higher education teachers 132 Secondary education teachers 133 Primary education teachers 134 Preprimary education teachers 135 Special education teachers 139 Teachers not elsewhere classified 141 Ministers of religion and related members of religious orders 159 Authors, journalists, and related writers not elsewhere classified 162 Commercial artists and designers 163 Photographers and cameramen 171 Composers, musicians, and singers 172 Choreographers and dancers 174 Producers, performing arts 179 Performing artists not elsewhere classified 180 Athletes, sportsmen, and related workers 191 Librarians, archivists, and curators 193 Social workers 194 Personnel and occupational specialists 199 Other professional, technical, and related workers 201 Legislative officials 202 Government administrators 211 General managers 212 Production managers (except farm) 219 Managers not elsewhere classified 300 Clerical supervisors 310 Government executive officials 321 Stenographers, typists, and teletypists 322 Card and tapepunching machine operators 331 Bookkeepers and cashiers 332 Bookkeepers and cashiers 339 Bookkeepers, cashiers, and related workers not elsewhere classified 341 Bookkeeping and calculating machine operators 342 Automatic dataprocessing machine operators 352 Postmasters 359 Transport and communications supervisors not elsewhere classified 360 Transport conductors 370 Mail distribution clerks 380 Telephone and telegraph operators 391 Stock clerks 392 Material and production planning clerks 393 Correspondence and reporting clerks 394 Receptionists and travel agency clerks 395 Library and filing clerks 399 Clerks not elsewhere classified 400 Managers (wholesale and retail trade) 410 Working proprietors (wholesale and retail trade) 421 Sales supervisors 422 Buyers 431 Technical salesmen and service advisers 432 Commercial travellers and manufacturers' agents 441 Insurance, real estate, and securities salesmen 442 Business services salesmen 451 Salesmen, shop assistants, and demonstrators 452 Street vendors, canvassers, and newsvendors 490 Sales workers not elsewhere classified 500 Managers (catering and lodging services) 510 Working proprietors (catering and lodging services) 520 Housekeeping and related service supervisors 531 Cooks 532 Waiters, bartenders, and related workers 540 Maids and related housekeeping service workers not elsewhere classified 551 Building caretakers 552 Charworkers, cleaners, and related workers 560 Launderers, drycleaners, and pressers 570 Hairdressers, barbers, beauticians, and related workers 581 Firefighters 582 Policemen and detectives 589 Protective service workers not elsewhere classified 591 Guides 599 Other service workers 600 Farm managers and supervisors 610 Farmers 611 General farmers 612 Specialised farmers 621 General farm workers 622 Field crop and vegetable farm workers 623 Orchard, vineyard, and related tree and shrub crop workers 624 Livestock workers 625 Dairy farm workers 626 Poultry farm workers 627 Farm workers 628 Farm machinery operators 629 Agricultural and animal husbandry workers not elsewhere classified 631 Loggers 632 Forestry workers (except logging) 641 Fishermen 649 Fishermen, hunters, and related workers not elsewhere classified 700 Production supervisors and general foremen 711 Miners and quarrymen 712 Mineral and stone treaters 713 Well drillers, borers, and related workers 722 Metal rolling mill workers 732 Sawyers, plywood makers, and related wood processing workers 734 Paper makers 741 Crushers, grinders, and mixers 749 Chemical processers and related workers not elsewhere classified 754 Weavers and related workers 771 Grain millers and related workers 772 Sugar processers and refiners 773 Butchers and meat preparers 774 Food preservers 775 Dairy product processers 776 Bakers, pastrycooks, and confectionery makers 778 Brewers, wine, and beverage makers 779 Food and beverage processers not elsewhere classified 781 Tobacco preparers 791 Tailors and dressmakers 795 Sewers and embroiderers 796 Upholsterers and related workers 799 Tailors, dressmakers, sewers, upholsterers, and related workers not elsewhere classified 801 Shoemakers and shoe repairers 811 Cabinetmakers 819 Cabinetmakers and related woodworkers not elsewhere classified 831 Blacksmiths, hammersmiths, and forgingpress operators 833 Machinetool setteroperators 834 Machinetool operators 839 Blacksmiths, toolmakers, and machinetool operators not elsewhere classified 841 Machinery fitters and machine assemblers 843 Motor vehicle mechanics 844 Aircraft engine mechanics 849 Machinery fitters, machine assemblers, and precision instrument makers (except electrical) not elsewhere classified 851 Electrical fitters 852 Electronics fitters 854 Radio and television repairmen 855 Electrical wiremen 856 Telephone and telegraph installers 857 Electric linemen and cable jointers 859 Electrical fitters and related electrical and electronics workers not elsewhere classified 861 Broadcasting station operators 862 Sound equipment operators and cinema projectionists 871 Plumbers and pipe fitters 872 Welders and flamecutters 873 Sheetmetal workers 880 Jewellery and precious metal workers 901 Rubber and plastics product makers (except tire makers and tire vulcanisers) 902 Tire makers and vulcanisers 910 Paper and paperboard products makers 921 Compositors and typesetters 922 Printing pressmen 926 Bookbinders and related workers 927 Photographic darkroom workers 929 Printers and related workers not elsewhere classified 931 Painters, construction 939 Painters not elsewhere classified 942 Basketry weavers and brush makers 951 Bricklayers, stonemasons and tile setters 952 Reinforced concreters, cement finishers, and terrazzo workers 954 Carpenters, joiners, and parquetry workers 955 Plasterers 959 Construction workers not elsewhere classified 961 Powergenerating machinery operators 969 Stationary engine and related equipment operators not elsewhere classified 971 Dockers and freight handlers 972 Riggers and cable splicers 973 Crane and hoist operators 974 Earthmoving and related machinery operators 979 Materialhandling equipment operators not elsewhere classified 981 Ships' deck ratings, barge crews, and boatmen 982 Ships' engineroom ratings 983 Railway engine drivers and firemen 985 Motor vehicle drivers 990 Other laborers 991 Armed forces 995 Other occupations, response suppressed 998 Unknown 999 NIU (not in universe) Work: Occupation Variables -- PERSON Industry 3 digits <svar v="FJ86A420 FJ86A421 FJ86A422 FJ86A423"><span class="em">For all persons born in 1971 or before</span><br />[Questions 14-17 were asked of all persons born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A422 FJ86A433">16. Industry<br /><div class="i1">Who does the person work for? Department if government or large company.<br />If self-employed, what is the person's trade or business?<br />____</div><br /></svar> <svar a="all" v="FJ86A422 FJ86A433"><span class="em">Question 16 - Industry</span><br /><br />166. You have described the person's own job, which is his occupation. Next we have to consider the kind of business, product or service produced by the worker and his/her fellow workers. For example, a person may be a typist working for a mining company, in a building contractor's office, in a hotel, for a bus company, in a department store, for the Government or for a law firm. The person's occupation is 'typist' but the product, business or service is different in each case.<br /><br />167. If the person is employed as a cash worker, ask: "Who does this person work for?" or "Where does this person work?"<br /><br />168. Enter the name of the company, firm or organization for which he or she works.<br /><br />169. Some large companies make, produce or sell more than one kind of product and the same is true of large Departments of Government. In such cases state the branch or section for which the person works. For example, a large company like Carpenters engages in many kinds of activity and you should distinguish the branch for which the person works by writing 'Carpenters Shipping', 'Carpenters Travel', or as the case may be.<br /><br />170. In the same way large Government Departments at the PWD engage in different kinds of work and you should distinguish this by writing 'PWD roads', 'PWD mech. workshops', 'PWD water', or as the case may be, but not just 'PWD'.<br /><br />171. If the person is self-employed, works in a family business or has done other work, ask: "What is this person's trade or business?"<br /><br />172. Write in two or three words about what kind of business or activity is carried on -- what is made or produced -- what services are provided -- what goods are sold -- what crops are grown.<br /><br />173. Be precise. Avoid vague answers. Good answers, for example, are 'shoe repair', 'making furniture', 'bus company', 'retail store'. Bad answers are 'repair', 'factory', 'business', 'private enterprise', 'self-employed' -- we must know what is repaired, what the factory makes, what kind of business, what sort of private enterprise, what the self-employed makes or sells.<br /></svar> Fiji 1986: Persons born in 1971 or before and worked last week (cash work and other work). [Discrepancies: Type I 0.1%, Type II 0.2%] This variable indicates the industry (at three-digit level) in which the person who worked was engaged the week before the census. 111 Palay production 112 Corn production 113 Peanut (groundnut) production 121 Cattle raising, including milk production 122 Chicken raising for meat 130 Plowing, seeding, weeding, thinning, pruning 140 Agriculture, fishery and forestry, not elsewhere classified 210 Mining and quarrying, not elsewhere classified 311 Slaughtering 312 Cassava flour milling 313 Distilling, rectifying and blending of alcoholic liquors 314 Manufacture of cigarettes 321 Integrated textile mills 322 Custom tailoring shops 331 Manufacture of rough lumber 332 Manufacture and repair of wood furniture including upholster 341 Integrated pulp and paper and paperboard mill including fiberboard mill 342 Printing of newspapers and periodicals 351 Manufacture of inorganic acids, alkalis and chlorine 352 Manufacture of paints 353 Petroleum refineries 360 Manufacturing, not elsewhere classified 381 Manufacture of cutlery 382 Manufacture of internal combustion engines (gas and diesel) 383 Manufacture of electric motors and generators 384 Manufacture of boats and motorboats 390 Manufacture of jewelry 410 Electricity, gas and water, not elsewhere classified 510 Construction, not elsewhere classified 611 Palay, corn (unmilled) and other grains, wholesaling 612 Processed food wholesaling 613 Textile fabrics, all kinds, wholesaling 615 Chinaware, glassware, earthenware and utensils, wholesaling 616 Agricultural machinery, equipment and accessory, dealing 617 Metallic ore, including ferrous and non-ferrous metal, dealing 618 Petroleum and petroleum products, wholesaling 619 Merchandise brokers, general merchants, importers and exporters 621 Books, office and school supplies 622 Groceries 623 Department and variety (bazaars) stores 624 Undocumented 625 Chinaware, glassware, earthenware and utensils, retailing 626 Motor vehicles, including used vehicles, dealing automobile retailing 627 Drug stores 628 Gasoline stations 629 Toys, gifts and novelty stores 631 Wholesale trade and retail trade, not elsewhere classified 711 Railway transport 712 Provincial bus line operators 713 Ocean passenger transport 719 Pipeline transport 720 General bonded warehouse except grain warehouses 810 Financing, insurance, real estate and business services, not elsewhere classified 831 Life insurance companies 832 Non-life insurance companies 833 Financing, insurance, real estate and business services, not elsewhere classified 910 Public administration, national government 920 Waste collection and disposal (including human waste) on a fee or contract bash 931 Public pre-elementary schools 932 Private pre-elementary schools 933 Services, not elsewhere classified 941 Public hospitals, sanitaria and other similar institutions 942 Private hospitals, sanitaria and other similar institutions 949 Services, not elsewhere classified 951 Research and scientific institutes, public and private 952 Government social welfare services 953 Business associations 959 Services, not elsewhere classified 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Employment status <svar v="FJ86A420 FJ86A421 FJ86A422 FJ86A423"><span class="em">For all persons born in 1971 or before</span><br />[Questions 14-17 were asked of all persons born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A423">17. Employment status<br /><div class="i1">How is the person paid? Wage salary, by sale, or job done unpaid.<br />____</div><br /></svar> <svar v="FJ86A421 FJ86A422 FJ86A423">151. Questions 15, 16 and 17 apply to all persons who worked last week -- that is to all persons for whom you have entered "cash work" or "other work". For the rest, leave blank.<br /></svar></p> <p><svar a="all" v="FJ86A423"><span class="em">Question 17 - Employment status</span><br /><br />174. "How is this person paid?"<br /><br />175. We are concerned with the way in which people are rewarded for their work. Everyone who worked last week was rewarded in one of the following ways:<br /><br /><div class="i1">Wages or salary: Such people are employed and are paid regularly in cash. A wage earner is paid in cash on an hourly, daily, or weekly basis. A salary earner has his or her pay assessed on an annual basis. Write 'wage' or 'salary' as appropriate.<br /><br />By sale: Such people are paid in cash when they sell some thing or some service. They are self-employed and do not receive a wage or salary. A cane farmer is paid for the cane he or she sells. A person who runs his own shop is paid for each article sold. A market vendor is paid for the food sold. The same is true of people who grow vegetables, root crops, raise chickens or catch fish to sell. For such people write 'sale'.<br /><br />By job done: This category includes casual workers and everyone who is paid on a contract, task or piece work basis. They do not receive a regular wage or salary. This kind of arrangement is common in rural areas -- for example, in cane cutting gangs or fencing on contract -- as well as in urban areas -- for example, grass cutters, casual laborers and stevedores. For such people write 'job'.<br /><br />Unpaid: Such people work but do not receive regular wages. Very often they work in the family business or farm and are members of the family who are provided with food and lodging and share in the benefits of any profits which arise from the joint family work but do not receive cash on a regular basis. For such people write 'unpaid'.</div><br /></svar> Fiji 1986: Persons born in 1971 or before and worked last week (cash work or other work). [Discrepancies: Type I 0.1%, Type II 0.2%] This variable indicates the employment status (private employee, government employee or other type of employee) of the person who worked the week before the Census. 1 Private sector employee 2 Government employee 3 Other employees 4 Unpaid family helper 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Number of male children present <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432"><span class="em">For all women born in 1971 or before</span><br />[Questions 18-22 were asked of all women born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A424 FJ86A425">18. How many of the children that this woman has borne alive were here on Census night?<br /><div class="i1">If none, [write] '0'.<br />Boys: _<br />Girls: _</div><br /></svar> <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432">176. The next set of questions, 18 to 22, applies to all women born in 1971 or before.<br /><br />177. An answer is required of all women in this category whether or not they are married, whether or not they are still attending school, and whether or not you think they may have borne children.<br /><br />178. If the person is male or is a girl born 1972 to 1986, write 'N/A' on line 18 and leave the rest of the column blank.<br /><br />179. If possible speak to the woman herself. She will know about the children she has borne and will be able to answer the questions more accurately than anyone else.<br /><br />180. The census is concerned with all the children a woman has borne. Include children who have grown up and left home, children borne by the woman to other men as well as to her present husband, her children who are living away from home and children who have died even if they died shortly after birth. Be careful to include very young babies.<br /><br />181. Do not include adopted children, step children or children who may be staying in the household but were not borne by the woman herself.<br /><br />182. We are concerned with the number of children the woman has borne alive. '0' is a number. If the appropriate number on any line is '0', then write '0'. Do not leave lines blank and do not use any other symbol.<br /><br />183. A child born alive is one who cries after being born. The census is concerned with children born alive. Do not include still births -- that is, children who did not cry.<br /><br />184. Ask, "Has this woman borne any children?"<br /><br />185. If the woman has never borne any children alive, write '0' for boys and '0' for girls.<br /><br />186. If the woman has borne a child or children, ask: "How many were with her on census night?"<br /><br />187. Write the number of boys and the number of girls who were in this household on census night on line 18. If the answer is 'none', write '0' in the appropriate box.<br /><br />188. "How many were elsewhere on census night?"<br /><br />189. Write the number of boys and the number of girls whom the woman has borne who were not in the household on census night. If the answer is 'none', write '0' in the appropriate box.<br /><br />190. "How many have died?"<br /><br />191. Write the number of boys and girls whom the woman has borne alive but who have since died. If the answer is 'none', write '0' in the appropriate box.<br /><br /><span class="pg">[p. 21]</span><br /><br />192. You have recorded details of all the children the woman has borne alive. You are next required to record particulars of her most recent live birth -- that is, of the last child she had borne alive.<br /><br />193. "When was the last child born?"<br /><br />194. Whenever possible record the day, month and year.<br /><br />195. If the day is not known, record at least the month and year for all children born between 1980 and 1986 even if it takes time to establish the month by questioning the mother and other members of the household.<br /><br />196. For children born before 1980 it will be enough to record the year of birth.<br /><br />197. "Is the child still alive?"<br /><br />198. Write 'yes' or 'no' as appropriate.<br /></svar> Fiji 1986: Females born in 1971 or before [Discrepancies: Type I 0.1%, Type II 2%] This variable indicates the number of male children who were present on Census night. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 or more 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children present <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432"><span class="em">For all women born in 1971 or before</span><br />[Questions 18-22 were asked of all women born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A424 FJ86A425">18. How many of the children that this woman has borne alive were here on Census night?<br /><div class="i1">If none, [write] '0'.<br />Boys: _<br />Girls: _</div><br /></svar> <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432">176. The next set of questions, 18 to 22, applies to all women born in 1971 or before.<br /><br />177. An answer is required of all women in this category whether or not they are married, whether or not they are still attending school, and whether or not you think they may have borne children.<br /><br />178. If the person is male or is a girl born 1972 to 1986, write 'N/A' on line 18 and leave the rest of the column blank.<br /><br />179. If possible speak to the woman herself. She will know about the children she has borne and will be able to answer the questions more accurately than anyone else.<br /><br />180. The census is concerned with all the children a woman has borne. Include children who have grown up and left home, children borne by the woman to other men as well as to her present husband, her children who are living away from home and children who have died even if they died shortly after birth. Be careful to include very young babies.<br /><br />181. Do not include adopted children, step children or children who may be staying in the household but were not borne by the woman herself.<br /><br />182. We are concerned with the number of children the woman has borne alive. '0' is a number. If the appropriate number on any line is '0', then write '0'. Do not leave lines blank and do not use any other symbol.<br /><br />183. A child born alive is one who cries after being born. The census is concerned with children born alive. Do not include still births -- that is, children who did not cry.<br /><br />184. Ask, "Has this woman borne any children?"<br /><br />185. If the woman has never borne any children alive, write '0' for boys and '0' for girls.<br /><br />186. If the woman has borne a child or children, ask: "How many were with her on census night?"<br /><br />187. Write the number of boys and the number of girls who were in this household on census night on line 18. If the answer is 'none', write '0' in the appropriate box.<br /><br />188. "How many were elsewhere on census night?"<br /><br />189. Write the number of boys and the number of girls whom the woman has borne who were not in the household on census night. If the answer is 'none', write '0' in the appropriate box.<br /><br />190. "How many have died?"<br /><br />191. Write the number of boys and girls whom the woman has borne alive but who have since died. If the answer is 'none', write '0' in the appropriate box.<br /><br /><span class="pg">[p. 21]</span><br /><br />192. You have recorded details of all the children the woman has borne alive. You are next required to record particulars of her most recent live birth -- that is, of the last child she had borne alive.<br /><br />193. "When was the last child born?"<br /><br />194. Whenever possible record the day, month and year.<br /><br />195. If the day is not known, record at least the month and year for all children born between 1980 and 1986 even if it takes time to establish the month by questioning the mother and other members of the household.<br /><br />196. For children born before 1980 it will be enough to record the year of birth.<br /><br />197. "Is the child still alive?"<br /><br />198. Write 'yes' or 'no' as appropriate.<br /></svar> Fiji 1986: Females born in 1971 or before [Discrepancies: Type I 0.1%, Type II 2%] This variable indicates the number of female children who were present on Census night. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 or more 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children living elsewhere <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432"><span class="em">For all women born in 1971 or before</span><br />[Questions 18-22 were asked of all women born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A426 FJ86A427">19. How many were elsewhere?<br /><div class="i1">If none, [write] '0'.<br />Boys: _<br />Girls: _</div><br /></svar> <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432">176. The next set of questions, 18 to 22, applies to all women born in 1971 or before.<br /><br />177. An answer is required of all women in this category whether or not they are married, whether or not they are still attending school, and whether or not you think they may have borne children.<br /><br />178. If the person is male or is a girl born 1972 to 1986, write 'N/A' on line 18 and leave the rest of the column blank.<br /><br />179. If possible speak to the woman herself. She will know about the children she has borne and will be able to answer the questions more accurately than anyone else.<br /><br />180. The census is concerned with all the children a woman has borne. Include children who have grown up and left home, children borne by the woman to other men as well as to her present husband, her children who are living away from home and children who have died even if they died shortly after birth. Be careful to include very young babies.<br /><br />181. Do not include adopted children, step children or children who may be staying in the household but were not borne by the woman herself.<br /><br />182. We are concerned with the number of children the woman has borne alive. '0' is a number. If the appropriate number on any line is '0', then write '0'. Do not leave lines blank and do not use any other symbol.<br /><br />183. A child born alive is one who cries after being born. The census is concerned with children born alive. Do not include still births -- that is, children who did not cry.<br /><br />184. Ask, "Has this woman borne any children?"<br /><br />185. If the woman has never borne any children alive, write '0' for boys and '0' for girls.<br /><br />186. If the woman has borne a child or children, ask: "How many were with her on census night?"<br /><br />187. Write the number of boys and the number of girls who were in this household on census night on line 18. If the answer is 'none', write '0' in the appropriate box.<br /><br />188. "How many were elsewhere on census night?"<br /><br />189. Write the number of boys and the number of girls whom the woman has borne who were not in the household on census night. If the answer is 'none', write '0' in the appropriate box.<br /><br />190. "How many have died?"<br /><br />191. Write the number of boys and girls whom the woman has borne alive but who have since died. If the answer is 'none', write '0' in the appropriate box.<br /><br /><span class="pg">[p. 21]</span><br /><br />192. You have recorded details of all the children the woman has borne alive. You are next required to record particulars of her most recent live birth -- that is, of the last child she had borne alive.<br /><br />193. "When was the last child born?"<br /><br />194. Whenever possible record the day, month and year.<br /><br />195. If the day is not known, record at least the month and year for all children born between 1980 and 1986 even if it takes time to establish the month by questioning the mother and other members of the household.<br /><br />196. For children born before 1980 it will be enough to record the year of birth.<br /><br />197. "Is the child still alive?"<br /><br />198. Write 'yes' or 'no' as appropriate.<br /></svar> Fiji 1986: Females born in 1971 or before [Discrepancies: Type I 0.1%, Type II 2%] This variable indicates the number of male children who were living elsewhere on Census night. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 or more 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children living elsewhere <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432"><span class="em">For all women born in 1971 or before</span><br />[Questions 18-22 were asked of all women born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A426 FJ86A427">19. How many were elsewhere?<br /><div class="i1">If none, [write] '0'.<br />Boys: _<br />Girls: _</div><br /></svar> <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432">176. The next set of questions, 18 to 22, applies to all women born in 1971 or before.<br /><br />177. An answer is required of all women in this category whether or not they are married, whether or not they are still attending school, and whether or not you think they may have borne children.<br /><br />178. If the person is male or is a girl born 1972 to 1986, write 'N/A' on line 18 and leave the rest of the column blank.<br /><br />179. If possible speak to the woman herself. She will know about the children she has borne and will be able to answer the questions more accurately than anyone else.<br /><br />180. The census is concerned with all the children a woman has borne. Include children who have grown up and left home, children borne by the woman to other men as well as to her present husband, her children who are living away from home and children who have died even if they died shortly after birth. Be careful to include very young babies.<br /><br />181. Do not include adopted children, step children or children who may be staying in the household but were not borne by the woman herself.<br /><br />182. We are concerned with the number of children the woman has borne alive. '0' is a number. If the appropriate number on any line is '0', then write '0'. Do not leave lines blank and do not use any other symbol.<br /><br />183. A child born alive is one who cries after being born. The census is concerned with children born alive. Do not include still births -- that is, children who did not cry.<br /><br />184. Ask, "Has this woman borne any children?"<br /><br />185. If the woman has never borne any children alive, write '0' for boys and '0' for girls.<br /><br />186. If the woman has borne a child or children, ask: "How many were with her on census night?"<br /><br />187. Write the number of boys and the number of girls who were in this household on census night on line 18. If the answer is 'none', write '0' in the appropriate box.<br /><br />188. "How many were elsewhere on census night?"<br /><br />189. Write the number of boys and the number of girls whom the woman has borne who were not in the household on census night. If the answer is 'none', write '0' in the appropriate box.<br /><br />190. "How many have died?"<br /><br />191. Write the number of boys and girls whom the woman has borne alive but who have since died. If the answer is 'none', write '0' in the appropriate box.<br /><br /><span class="pg">[p. 21]</span><br /><br />192. You have recorded details of all the children the woman has borne alive. You are next required to record particulars of her most recent live birth -- that is, of the last child she had borne alive.<br /><br />193. "When was the last child born?"<br /><br />194. Whenever possible record the day, month and year.<br /><br />195. If the day is not known, record at least the month and year for all children born between 1980 and 1986 even if it takes time to establish the month by questioning the mother and other members of the household.<br /><br />196. For children born before 1980 it will be enough to record the year of birth.<br /><br />197. "Is the child still alive?"<br /><br />198. Write 'yes' or 'no' as appropriate.<br /></svar> Fiji 1986: Females born in 1971 or before [Discrepancies: Type I 0.1%, Type II 2%] This variable indicates the number of female children who were living elsewhere on Census night. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 or more 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children who have died <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432"><span class="em">For all women born in 1971 or before</span><br />[Questions 18-22 were asked of all women born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A428 FJ86A429">20. How many have died?<br /><div class="i1">If none, [write] '0'.<br />Boys: _<br />Girls: _</div><br /></svar> <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432">176. The next set of questions, 18 to 22, applies to all women born in 1971 or before.<br /><br />177. An answer is required of all women in this category whether or not they are married, whether or not they are still attending school, and whether or not you think they may have borne children.<br /><br />178. If the person is male or is a girl born 1972 to 1986, write 'N/A' on line 18 and leave the rest of the column blank.<br /><br />179. If possible speak to the woman herself. She will know about the children she has borne and will be able to answer the questions more accurately than anyone else.<br /><br />180. The census is concerned with all the children a woman has borne. Include children who have grown up and left home, children borne by the woman to other men as well as to her present husband, her children who are living away from home and children who have died even if they died shortly after birth. Be careful to include very young babies.<br /><br />181. Do not include adopted children, step children or children who may be staying in the household but were not borne by the woman herself.<br /><br />182. We are concerned with the number of children the woman has borne alive. '0' is a number. If the appropriate number on any line is '0', then write '0'. Do not leave lines blank and do not use any other symbol.<br /><br />183. A child born alive is one who cries after being born. The census is concerned with children born alive. Do not include still births -- that is, children who did not cry.<br /><br />184. Ask, "Has this woman borne any children?"<br /><br />185. If the woman has never borne any children alive, write '0' for boys and '0' for girls.<br /><br />186. If the woman has borne a child or children, ask: "How many were with her on census night?"<br /><br />187. Write the number of boys and the number of girls who were in this household on census night on line 18. If the answer is 'none', write '0' in the appropriate box.<br /><br />188. "How many were elsewhere on census night?"<br /><br />189. Write the number of boys and the number of girls whom the woman has borne who were not in the household on census night. If the answer is 'none', write '0' in the appropriate box.<br /><br />190. "How many have died?"<br /><br />191. Write the number of boys and girls whom the woman has borne alive but who have since died. If the answer is 'none', write '0' in the appropriate box.<br /><br /><span class="pg">[p. 21]</span><br /><br />192. You have recorded details of all the children the woman has borne alive. You are next required to record particulars of her most recent live birth -- that is, of the last child she had borne alive.<br /><br />193. "When was the last child born?"<br /><br />194. Whenever possible record the day, month and year.<br /><br />195. If the day is not known, record at least the month and year for all children born between 1980 and 1986 even if it takes time to establish the month by questioning the mother and other members of the household.<br /><br />196. For children born before 1980 it will be enough to record the year of birth.<br /><br />197. "Is the child still alive?"<br /><br />198. Write 'yes' or 'no' as appropriate.<br /></svar> Fiji 1986: Females born in 1971 or before [Discrepancies: Type I 0.1%; Type II 2%] This variable indicates the number of male children who were born alive and are dead. 00 None 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 who have died <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432"><span class="em">For all women born in 1971 or before</span><br />[Questions 18-22 were asked of all women born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A428 FJ86A429">20. How many have died?<br /><div class="i1">If none, [write] '0'.<br />Boys: _<br />Girls: _</div><br /></svar> <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432">176. The next set of questions, 18 to 22, applies to all women born in 1971 or before.<br /><br />177. An answer is required of all women in this category whether or not they are married, whether or not they are still attending school, and whether or not you think they may have borne children.<br /><br />178. If the person is male or is a girl born 1972 to 1986, write 'N/A' on line 18 and leave the rest of the column blank.<br /><br />179. If possible speak to the woman herself. She will know about the children she has borne and will be able to answer the questions more accurately than anyone else.<br /><br />180. The census is concerned with all the children a woman has borne. Include children who have grown up and left home, children borne by the woman to other men as well as to her present husband, her children who are living away from home and children who have died even if they died shortly after birth. Be careful to include very young babies.<br /><br />181. Do not include adopted children, step children or children who may be staying in the household but were not borne by the woman herself.<br /><br />182. We are concerned with the number of children the woman has borne alive. '0' is a number. If the appropriate number on any line is '0', then write '0'. Do not leave lines blank and do not use any other symbol.<br /><br />183. A child born alive is one who cries after being born. The census is concerned with children born alive. Do not include still births -- that is, children who did not cry.<br /><br />184. Ask, "Has this woman borne any children?"<br /><br />185. If the woman has never borne any children alive, write '0' for boys and '0' for girls.<br /><br />186. If the woman has borne a child or children, ask: "How many were with her on census night?"<br /><br />187. Write the number of boys and the number of girls who were in this household on census night on line 18. If the answer is 'none', write '0' in the appropriate box.<br /><br />188. "How many were elsewhere on census night?"<br /><br />189. Write the number of boys and the number of girls whom the woman has borne who were not in the household on census night. If the answer is 'none', write '0' in the appropriate box.<br /><br />190. "How many have died?"<br /><br />191. Write the number of boys and girls whom the woman has borne alive but who have since died. If the answer is 'none', write '0' in the appropriate box.<br /><br /><span class="pg">[p. 21]</span><br /><br />192. You have recorded details of all the children the woman has borne alive. You are next required to record particulars of her most recent live birth -- that is, of the last child she had borne alive.<br /><br />193. "When was the last child born?"<br /><br />194. Whenever possible record the day, month and year.<br /><br />195. If the day is not known, record at least the month and year for all children born between 1980 and 1986 even if it takes time to establish the month by questioning the mother and other members of the household.<br /><br />196. For children born before 1980 it will be enough to record the year of birth.<br /><br />197. "Is the child still alive?"<br /><br />198. Write 'yes' or 'no' as appropriate.<br /></svar> Fiji 1986: Females born in 1971 or before [Discrepancies: Type I 0.1%, Type II 2%] This variable indicates the number of female children who were born alive and are dead. 00 None 01 1 02 2 03 3 04 4 05 5+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Month when the last child born alive was born <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432"><span class="em">For all women born in 1971 or before</span><br />[Questions 18-22 were asked of all women born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A430 FJ86A431">21. When was the last child born?<br /><div class="i1">Day____<br />Month____<br />Year____</div><br /></svar> <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432">176. The next set of questions, 18 to 22, applies to all women born in 1971 or before.<br /><br />177. An answer is required of all women in this category whether or not they are married, whether or not they are still attending school, and whether or not you think they may have borne children.<br /><br />178. If the person is male or is a girl born 1972 to 1986, write 'N/A' on line 18 and leave the rest of the column blank.<br /><br />179. If possible speak to the woman herself. She will know about the children she has borne and will be able to answer the questions more accurately than anyone else.<br /><br />180. The census is concerned with all the children a woman has borne. Include children who have grown up and left home, children borne by the woman to other men as well as to her present husband, her children who are living away from home and children who have died even if they died shortly after birth. Be careful to include very young babies.<br /><br />181. Do not include adopted children, step children or children who may be staying in the household but were not borne by the woman herself.<br /><br />182. We are concerned with the number of children the woman has borne alive. '0' is a number. If the appropriate number on any line is '0', then write '0'. Do not leave lines blank and do not use any other symbol.<br /><br />183. A child born alive is one who cries after being born. The census is concerned with children born alive. Do not include still births -- that is, children who did not cry.<br /><br />184. Ask, "Has this woman borne any children?"<br /><br />185. If the woman has never borne any children alive, write '0' for boys and '0' for girls.<br /><br />186. If the woman has borne a child or children, ask: "How many were with her on census night?"<br /><br />187. Write the number of boys and the number of girls who were in this household on census night on line 18. If the answer is 'none', write '0' in the appropriate box.<br /><br />188. "How many were elsewhere on census night?"<br /><br />189. Write the number of boys and the number of girls whom the woman has borne who were not in the household on census night. If the answer is 'none', write '0' in the appropriate box.<br /><br />190. "How many have died?"<br /><br />191. Write the number of boys and girls whom the woman has borne alive but who have since died. If the answer is 'none', write '0' in the appropriate box.<br /><br /><span class="pg">[p. 21]</span><br /><br />192. You have recorded details of all the children the woman has borne alive. You are next required to record particulars of her most recent live birth -- that is, of the last child she had borne alive.<br /><br />193. "When was the last child born?"<br /><br />194. Whenever possible record the day, month and year.<br /><br />195. If the day is not known, record at least the month and year for all children born between 1980 and 1986 even if it takes time to establish the month by questioning the mother and other members of the household.<br /><br />196. For children born before 1980 it will be enough to record the year of birth.<br /><br />197. "Is the child still alive?"<br /><br />198. Write 'yes' or 'no' as appropriate.<br /></svar> Fiji 1986: Females born in 1971 or before who ever had children [Discrepancies: Type I 0.2%; Type II 4%] This variable indicates the month when the last child born alive was born. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Year when the last child born alive was born <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432"><span class="em">For all women born in 1971 or before</span><br />[Questions 18-22 were asked of all women born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A430 FJ86A431">21. When was the last child born?<br /><div class="i1">Day____<br />Month____<br />Year____</div><br /></svar> <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432">176. The next set of questions, 18 to 22, applies to all women born in 1971 or before.<br /><br />177. An answer is required of all women in this category whether or not they are married, whether or not they are still attending school, and whether or not you think they may have borne children.<br /><br />178. If the person is male or is a girl born 1972 to 1986, write 'N/A' on line 18 and leave the rest of the column blank.<br /><br />179. If possible speak to the woman herself. She will know about the children she has borne and will be able to answer the questions more accurately than anyone else.<br /><br />180. The census is concerned with all the children a woman has borne. Include children who have grown up and left home, children borne by the woman to other men as well as to her present husband, her children who are living away from home and children who have died even if they died shortly after birth. Be careful to include very young babies.<br /><br />181. Do not include adopted children, step children or children who may be staying in the household but were not borne by the woman herself.<br /><br />182. We are concerned with the number of children the woman has borne alive. '0' is a number. If the appropriate number on any line is '0', then write '0'. Do not leave lines blank and do not use any other symbol.<br /><br />183. A child born alive is one who cries after being born. The census is concerned with children born alive. Do not include still births -- that is, children who did not cry.<br /><br />184. Ask, "Has this woman borne any children?"<br /><br />185. If the woman has never borne any children alive, write '0' for boys and '0' for girls.<br /><br />186. If the woman has borne a child or children, ask: "How many were with her on census night?"<br /><br />187. Write the number of boys and the number of girls who were in this household on census night on line 18. If the answer is 'none', write '0' in the appropriate box.<br /><br />188. "How many were elsewhere on census night?"<br /><br />189. Write the number of boys and the number of girls whom the woman has borne who were not in the household on census night. If the answer is 'none', write '0' in the appropriate box.<br /><br />190. "How many have died?"<br /><br />191. Write the number of boys and girls whom the woman has borne alive but who have since died. If the answer is 'none', write '0' in the appropriate box.<br /><br /><span class="pg">[p. 21]</span><br /><br />192. You have recorded details of all the children the woman has borne alive. You are next required to record particulars of her most recent live birth -- that is, of the last child she had borne alive.<br /><br />193. "When was the last child born?"<br /><br />194. Whenever possible record the day, month and year.<br /><br />195. If the day is not known, record at least the month and year for all children born between 1980 and 1986 even if it takes time to establish the month by questioning the mother and other members of the household.<br /><br />196. For children born before 1980 it will be enough to record the year of birth.<br /><br />197. "Is the child still alive?"<br /><br />198. Write 'yes' or 'no' as appropriate.<br /></svar> Fiji 1986: Females born in 1971 or before who ever had children [Discrepancies: Type I 0.2%; Type II 1 0.6%] This variable indicates the year when the last child born alive was born. 1915 1915 1921 1921 1924 1924 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 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 9998 Unknown 9999 NIU (not in universe) Fertility and Mortality Variables -- PERSON Last child born still alive <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432"><span class="em">For all women born in 1971 or before</span><br />[Questions 18-22 were asked of all women born in 1971 or before]<br /></svar></p> <p><svar a="all" v="FJ86A432">22. Is the child still alive?<br /><div class="i1">Yes or no.<br />____</div><br /></svar> <svar v="FJ86A424 FJ86A425 FJ86A426 FJ86A427 FJ86A428 FJ86A429 FJ86A430 FJ86A431 FJ86A432">176. The next set of questions, 18 to 22, applies to all women born in 1971 or before.<br /><br />177. An answer is required of all women in this category whether or not they are married, whether or not they are still attending school, and whether or not you think they may have borne children.<br /><br />178. If the person is male or is a girl born 1972 to 1986, write 'N/A' on line 18 and leave the rest of the column blank.<br /><br />179. If possible speak to the woman herself. She will know about the children she has borne and will be able to answer the questions more accurately than anyone else.<br /><br />180. The census is concerned with all the children a woman has borne. Include children who have grown up and left home, children borne by the woman to other men as well as to her present husband, her children who are living away from home and children who have died even if they died shortly after birth. Be careful to include very young babies.<br /><br />181. Do not include adopted children, step children or children who may be staying in the household but were not borne by the woman herself.<br /><br />182. We are concerned with the number of children the woman has borne alive. '0' is a number. If the appropriate number on any line is '0', then write '0'. Do not leave lines blank and do not use any other symbol.<br /><br />183. A child born alive is one who cries after being born. The census is concerned with children born alive. Do not include still births -- that is, children who did not cry.<br /><br />184. Ask, "Has this woman borne any children?"<br /><br />185. If the woman has never borne any children alive, write '0' for boys and '0' for girls.<br /><br />186. If the woman has borne a child or children, ask: "How many were with her on census night?"<br /><br />187. Write the number of boys and the number of girls who were in this household on census night on line 18. If the answer is 'none', write '0' in the appropriate box.<br /><br />188. "How many were elsewhere on census night?"<br /><br />189. Write the number of boys and the number of girls whom the woman has borne who were not in the household on census night. If the answer is 'none', write '0' in the appropriate box.<br /><br />190. "How many have died?"<br /><br />191. Write the number of boys and girls whom the woman has borne alive but who have since died. If the answer is 'none', write '0' in the appropriate box.<br /><br /><span class="pg">[p. 21]</span><br /><br />192. You have recorded details of all the children the woman has borne alive. You are next required to record particulars of her most recent live birth -- that is, of the last child she had borne alive.<br /><br />193. "When was the last child born?"<br /><br />194. Whenever possible record the day, month and year.<br /><br />195. If the day is not known, record at least the month and year for all children born between 1980 and 1986 even if it takes time to establish the month by questioning the mother and other members of the household.<br /><br />196. For children born before 1980 it will be enough to record the year of birth.<br /><br />197. "Is the child still alive?"<br /><br />198. Write 'yes' or 'no' as appropriate.<br /></svar> Fiji 1986: Females born in 1971 or before who ever had children [Discrepancies: Type I 0.1%; Type II 0.4%] This variable indicates whether or not the last child born alive is still alive. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON