4th Populatioin and Housing Census 2012 DDI_RWA_2012_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

 IPUMS April 1, 2025 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS Version 7.6 October 2025 : NEW FEATURES. --NO "new features" listed in Revision History NEW SAMPLES. --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS. SUPPLEMENTAL DATA. --No "supplemental data" listed in revision history NEW VARIABLES. --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml). --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf). EDITED SAMPLES. --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL. EDITED VARIABLES. --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren. --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)". --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007. --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999). --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample. --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born. --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status. --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007. --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all". --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence. 4th Populatioin and Housing Census - IPUMS Subset 2012 PHC rw2012a (IPUMS Harmonized Subset) RWA_2012_PHC_v01_M_v7.6_A_IPUMS National Institute of Statistics IPUMS (c) Copyright 2012, National Institute of Statistics and Minnesota Population Center National Institute of Statistics Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Other Household Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Utilities Variables -- HOUSEHOLD Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: O-Z Variables -- PERSON Migration: Global Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Ethnicity and Language Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Technical Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Work Variables -- PERSON Education Variables -- PERSON Technical Person Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Demographic Variables -- PERSON Migration: Global Variables -- PERSON Nativity and Birthplace Variables -- PERSON Ethnicity and Language Variables -- PERSON Disability Variables -- PERSON Other Person Variables -- PERSON Fertility and Mortality Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Demographic Variables -- PERSON Other Person Variables -- PERSON Fertility and Mortality Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Migration: Global Variables -- PERSON August 16, 2012 Two weeks from census day Rwanda District Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: no UNIT DESCRIPTIONS: - Dwellings: No - Households: A private household consists of one or more persons living together and sharing at least one daily meal, it consists also of one person or more persons or a group of unrelated persons living together under the authority of a household head. - Group quarters: The institutional household comprises the group of persons who are living, working, or studying under prescribed rules. They include the homeless, overnight travelers and institutional population who reside in military barracks, hostels, hospitals, prisons, hotels and lodges, etc. As mentioned earlier, separate living households within an institution constitute separate households. All residents of the country at the time of the census Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Rwanda 2012 MICRODATA SOURCE: National Institute of Statistics SAMPLE SIZE (person records): 1038369. SAMPLE DESIGN: 10% sample drawn by national statistics office Face-to-face [f2f] Separate forms for private and institutional dwellings and their occupants de jure, CENSUS DAY: August 16, 2012 Self-weighting (expansion factor=10) IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. National Institute of Statistics Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: Rwanda, National Institute of Statistics. 4th Populatioin and Housing Census The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.6 Extract for rw2012a, 2025 RWA2012_PHC-H-H.dat Household records 242,461 ascii Minnesota Population Center Version 7.5, IPUMS sample RWA2012_PHC-P-H.dat Person records 1038369 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD 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 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 GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Rwanda, Province 2012 [Level 1, GIS] GEO1_RW2012 identifies the household's province within Rwanda in 2012. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_RW2012 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Rwanda 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 Kigali City 002 Southern Province 003 Western Province 004 Northern Province 005 Eastern Province Geography: O-Z Variables -- HOUSEHOLD Rwanda, District 2012 [Level 2; consistent boundaries, GIS] GEO2_RW indicates the household's district within Rwanda in 2012. Districts are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_RW can be downloaded from the GIS Boundary files page in the IPUMS International web site The full set of geography variables for Rwanda can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 646001001 Nyarugenge District 646001002 Gasabo 646001003 Kicukiro 646002001 Nyanza 646002002 Gisagara 646002003 Nyaruguru 646002004 Huye 646002005 Nyamagabe 646002006 Ruhango 646002007 Muhanga 646002008 Kamonyi 646003001 Karongi 646003002 Rutsiro 646003003 Rubavu 646003004 Nyabihu 646003005 Ngororero 646003006 Rusizi 646003007 Nyamasheke 646004001 Rulindo 646004002 Gakenke 646004003 Musanze 646004004 Burera 646004005 Gicumbi 646005001 Rwamagana 646005002 Nyagatare 646005003 Gatsibo 646005004 Kayonza 646005005 Kirehe 646005006 Ngoma 646005007 Bugesera Geography: O-Z Variables -- HOUSEHOLD Rwanda, District 2012 [Level 2, GIS] GEO2_RW2012 identifies the household's district within Rwanda in 2012. Districts are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_RW2012 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Rwanda 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. 001011 Nyarugenge District 001012 Gasabo 001013 Kicukiro 002021 Nyanza 002022 Gisagara 002023 Nyaruguru 002024 Huye 002025 Nyamagabe 002026 Ruhango 002027 Muhanga 002028 Kamonyi 003031 Karongi 003032 Rutsiro 003033 Rubavu 003034 Nyabihu 003035 Ngororero 003036 Rusizi 003037 Nyamasheke 004041 Rulindo 004042 Gakenke 004043 Musanze 004044 Burera 004045 Gicumbi 005051 Rwamagana 005052 Nyagatare 005053 Gatsibo 005054 Kayonza 005055 Kirehe 005056 Ngoma 005057 Bugesera Geography: O-Z Variables -- HOUSEHOLD Rwanda, Sector 2012 [Level 3, GIS] GEO3_RW2012 identifies the household's sector within Rwanda in 2012. Sectors are the third level administrative units of the country, after districts and provinces. A GIS map (in shapefile format), corresponding to GEO3_RW2012 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Rwanda can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 01011001 Kimisagara, Rwezamenyo 01011002 Nyamirambo 01011003 Kigali 01011004 Gitega 01011005 Muhima 01011006 Nyakabanda 01011007 Mageregere 01011008 Kanyinya 01011009 Nyarugenge 01012001 Kinyinya 01012002 Kimironko 01012003 Gisozi 01012004 Remera 01012005 Ndera 01012006 Gatsata 01012007 Rusororo 01012008 Kacyiru 01012009 Bumbogo 01012010 Gikomero, Rutunga 01012011 Jabana 01012012 Jali 01012013 Nduba 01012014 Kimihurura 01013001 Gatenga, Gikondo 01013002 Kagarama, Kanombe 01013003 Kigarama 01013004 Kicukiro, Niboye 01013005 Masaka 01013006 Nyarugunga 01013007 Gahanga 02021001 Mukingo 02021002 Busasamana 02021003 Cyabakamyi, Rwabicuma 02021004 Muyira 02021005 Busoro 02021006 Kigoma 02021007 Kibirizi 02021008 Ntyazo 02021009 Nyagisozi 02022001 Kansi, Kigembe, Nyanza 02022002 Mamba 02022003 Muganza 02022004 Save 02022005 Mukindo 02022006 Kibilizi 02022007 Gishubi 02022008 Musha 02022009 Ndora 02022010 Gikonko 02022011 Mugombwa 02023001 Kivu, Muganza, Nyabimata 02023002 Munini, Ruheru 02023003 Ngoma, Nyagisozi 02023004 Mata, Ruramba 02023005 Busanze 02023006 Rusenge 02023007 Ngera 02023008 Cyahinda 02023009 Kibeho 02024001 Mbazi, Ngoma 02024002 Tumba 02024003 Gishamvu, Karama 02024004 Kinazi 02024005 Rusatira 02024006 Kigoma 02024007 Maraba 02024008 Ruhashya 02024009 Huye 02024010 Rwaniro 02024011 Simbi 02024012 Mukura 02025001 Kaduha, Kibumbwe, Mbazi, Mugano, Musange 02025002 Kamegeli, Tare 02025003 Gatare, Nkomane 02025004 Musebeya, Mushubi 02025005 Gasaka 02025006 Kitabi 02025007 Cyanika 02025008 Uwinkingi 02025009 Buruhukiro 02025010 Kibilizi 02026001 Ruhango 02026002 Kinazi 02026003 Mbuye 02026004 Byimana 02026005 Ntongwe 02026006 Bweramana 02026007 Mwendo 02026008 Kabagali 02026009 Kinihira 02027001 Nyamabuye 02027002 Shyogwe 02027003 Mushishiro, Rugendabali 02027004 Kibangu, Nyabinoni 02027005 Cyeza 02027006 Rongi 02027007 Muhanga 02027008 Kabacuzi 02027009 Nyarusange 02027010 Kiyumba 02028001 Kayenzi, Kayumbu, Ngamba 02028002 Karama, Musambira 02028003 Mugina 02028004 Nyamiyaga 02028005 Rugalika 02028006 Runda 02028007 Rukoma 02028008 Gacurabwenge 02028009 Nyarubaka 03031001 Gashali, Murambi 03031002 Mutuntu, Ruganda 03031003 Gishyita, Mubuga 03031004 Rubengera 03031005 Rugabano 03031006 Bwishyura 03031007 Murundi 03031008 Gitesi 03031009 Twumba 03031010 Rwankuba 03032001 Manihira, Murunda 03032002 Mukura 03032003 Kivumu 03032004 Nyabirasi 03032005 Ruhango 03032006 Mushubati 03032007 Kigeyo 03032008 Mushonyi 03032009 Gihango 03032010 Musasa 03032011 Boneza 03032012 Rusebeya 03033001 Gisenyi 03033002 Kanzenze, Mudende 03033003 Rugerero 03033004 Rubavu 03033005 Nyamyumba 03033006 Busasamana 03033007 Nyundo 03033008 Bugeshi 03033009 Kanama 03033010 Cyanzarwe 03033011 Nyakiliba 03034001 Bigogwe, Kabatwa 03034002 Kintobo, Rugera 03034003 Jomba, Shyira 03034004 Jenda 03034005 Rambura 03034006 Mukamira 03034007 Karago 03034008 Rurembo 03034009 Mulinga 03035001 Bwira, Sovu 03035002 Kabaya 03035003 Ngororero 03035004 Kavumu 03035005 Muhanda 03035006 Matyazo 03035007 Gatumba 03035008 Hindiro 03035009 Kageyo 03035010 Ndaro 03035011 Nyange 03035012 Muhororo 03036001 Gikundamvura, Nyakabuye 03036002 Gihundwe, Nkanka 03036003 Gitambi, Rwimbogo 03036004 Gashonga, Nyakarenzo 03036005 Giheke, Nkombo 03036006 Butare, Bweyeye 03036007 Bugarama 03036008 Muganza 03036009 Nzahaha 03036010 Mururu 03036011 Kamembe 03036012 Nkungu 03037001 Karambi, Mahembe 03037002 Cyato, Rangiro 03037003 Kanjongo 03037004 Kagano 03037005 Karengera 03037006 Nyabitekeli 03037007 Macuba 03037008 Shangi 03037009 Gihombo 03037010 Bushekeli 03037011 Ruharambuga 03037012 Kirimbi 03037013 Bushenge 04041001 Base, Bushoki, Kinihira, Tumba 04041002 Masoro, Murambi, Ntarabana 04041003 Burega, Buyoga, Kisaro 04041004 Cyinzuzi, Mbogo 04041005 Cyungo, Rukozo 04041006 Shyorongi 04041007 Ngoma, Rusiga 04042001 Cyabingo, Mugunga, Rusasa 04042002 Gakenke, Karambo, Kivuruga 04042003 Muhondo, Ruli 04042004 Kamubuga, Nemba 04042005 Mataba, Muzo 04042006 Busengo, Janja 04042007 Muyongwe, Rushashi 04042008 Coko, Minazi 04042009 Gashenyi 04043001 Muko, Nkotsi, Remera, Rwaza 04043002 Muhoza 04043003 Kimonyi, Musanze 04043004 Busogo 04043005 Cyuve, Gacaca 04043006 Nyange 04043007 Kinigi 04043008 Gataraga 04043009 Gashaki 04043010 Shingiro 04044001 Kagogo, Kinoni, Rugarama 04044002 Gatebe, Ruhunde, Rwerere 04044003 Cyeru, Nemba, Rugengabali 04044004 Cyanika 04044005 Butaro 04044006 Bungwe, Kivuye 04044007 Gitovu, Rusarabuye 04044008 Gahunga 04044009 Kinyababa 04045001 Byumba, Kageyo, Manyagiro 04045002 Bukure, Giti, Muko 04045003 Nyamiyaga, Rukomo 04045004 Rutare, Rwamiko 04045005 Miyove, Nyankenke 04045006 Bwisige, Ruvune 04045007 Mukarange, Shangasha 04045008 Kaniga, Rushaki 04045009 Cyumba, Rubaya 04045010 Mutete 05051001 Munyaga, Rubona 05051002 Gishari, Munyiginya 05051003 Nyakariro, Nzige 05051004 Kigabiro 05051005 Muhazi 05051006 Muyumbu 05051007 Gahengeri 05051008 Karenge 05051009 Mwulire 05051010 Musha 05051011 Fumbwe 05052001 Rwempasha, Rwimiyaga 05052002 Karangazi 05052003 Nyagatare 05052004 Kiyombe, Mukama 05052005 Katabagemu 05052006 Tabagwe 05052007 Rukomo 05052008 Musheli 05052009 Gatunda 05052010 Mimuli 05052011 Karama 05052012 Matimba 05053001 Kabarore 05053002 Gasange, Murambi 05053003 Rugarama 05053004 Rwimbogo 05053005 Gitoki 05053006 Kiramuruzi 05053007 Ngarama 05053008 Kiziguro 05053009 Muhura 05053010 Remera 05053011 Gatsibo 05053012 Nyagihanga 05053013 Kageyo 05054001 Nyamirama, Ruramira 05054002 Mukarange 05054003 Mwili, Ndego 05054004 Murundi 05054005 Kabare 05054006 Gahini 05054007 Rukara 05054008 Kabarondo 05054009 Rwinkwavu 05054010 Murama 05055001 Nasho, Nyarubuye 05055002 Gahara 05055003 Nyamugali 05055004 Mpanga 05055005 Kigarama 05055006 Mushikili 05055007 Gatore 05055008 Kigina 05055009 Musaza 05055010 Kirehe 05055011 Mahama 05056001 Gashanda, Karembo 05056002 Rurenge 05056003 Rukumbeli 05056004 Kazo 05056005 Remera 05056006 Kibungo 05056007 Mugesera 05056008 Rukira 05056009 Sake 05056010 Zaza 05056011 Jarama 05056012 Murama 05056013 Mutendeli 05057001 Mwogo, Ntarama 05057002 Nyamata 05057003 Nyarugenge, Shyara 05057004 Ngeruka 05057005 Musenyi 05057006 Mayange 05057007 Rweru 05057008 Rilima 05057009 Juru 05057010 Gashora 05057011 Ruhuha 05057012 Mareba 05057013 Kamabuye Geography: O-Z Variables -- HOUSEHOLD DHS-IPUMS-I Rwanda regions, 1991-2019 [consistent boundaries, GIS] DHS_IPUMSI_RW provides geographic codes for Rwanda that match those in the DHS and IPUMS-International databases. This variable can be used to link contextual area data from IPUMS-DHS to IPUMS-International or vice versa. The codes in DHS_IPUMSI_RW indicate the major administrative unit in which the household was enumerated or surveyed. GIS shapefiles for Rwanda can be downloaded here. 01 Kigali City 02 South 03 West 04 North 05 East Geography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Sewage SEWAGE indicates whether the household has access to a sewage system or septic tank. 00 NIU (not in universe) 10 Connected to sewage system or septic tank 11 Sewage system (public sewage disposal) 12 Septic tank (private sewage disposal) 20 Not connected to sewage disposal system 99 Unknown Utilities Variables -- HOUSEHOLD Cooking fuel FUELCOOK indicates the predominant type of fuel or energy used for cooking. 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing Utilities Variables -- HOUSEHOLD Telephone availability PHONE indicates the availability of a telephone in the dwelling. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Utilities Variables -- HOUSEHOLD Cellular phone availability CELL indicates the availability of a cellular phone in the household. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Internet access INTERNET indicates whether or not the household had an internet connection. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown Utilities Variables -- HOUSEHOLD Trash disposal This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner. 00 NIU (not in universe) 10 Collected by a sanitation service 11 Collected directly from the household or dwelling 12 Collected indirectly from a garbage container or deposit 13 Collected by a sanitation service only 14 Collected by a sanitation service and disposed of in some other manner 20 Disposed of in some other manner 21 Burned or buried 22 Burned 23 Buried 24 Thrown into street, vacant land, or common area 25 Thrown into river, lake, ocean, lagoon, etc. 26 Thrown into canyon or gulley 27 Dumped in pit 28 Communal refuse dump 29 Own refuse dump 30 Authorized refuse dump 31 Illegal refuse dump 32 Other dumping 33 Outside 34 In the fields 35 Fed to animals 36 Composted 37 Heap 38 Garden 39 Other, none 99 Unknown/missing Utilities Variables -- HOUSEHOLD Automobiles available AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. 0 No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Computer COMPUTER indicates whether the household had a personal computer. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator REFRIG indicates whether the household had a refrigerator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities 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 Number of bedrooms BEDROOMS indicates the number of rooms available to members of the household for sleeping. 00 No bedrooms 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) 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 Floor material FLOOR indicates the dwelling's predominant flooring material. 000 NIU (not in universe) 100 None/unfinished (earth) 110 Sand 120 Dung 200 Finished 201 Cement, tile, or brick 202 Cement 203 Concrete 204 Cement screed 205 Ceramic tile 206 Paving stone, cement tile 207 Stone 208 Brick 209 Brick or stone 210 Brick or cement 211 Block 212 Terrazzo 213 Wood 214 Palm, bamboo 215 Parquet 216 Parquet, tile, vinyl 217 Parquet, tile, marble 218 Ceramic, marble, granite 219 Ceramic, marble, tile, or vinyl 220 Marble 221 Mosaic 222 Tile 223 Tile, linoleum, ceramic, etc 224 Tile, cement 225 Tile, stone 226 Tile, stone, brick 227 Tile, stone, vinyl, brick 228 Tile, vinyl, brick 229 Tile, vinyl 230 Vinyl, linoleum, etc 231 Asphalt sheet, vinyl, etc 232 Synthetic, plastic 233 Cane 234 Carpet, rug 235 Scrap material 236 Other finished, n.e.c. 999 Unknown/missing 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 Roof material This variable indicates the dwelling's predominant roofing material. 00 NIU (not in universe) 10 Masonry, concrete, clay tile, or tiles of unspecified type 11 Concrete or cement 12 Reinforced concrete (slab) 13 Cement or sheet metal 14 Tile, unspecified material 15 Clay tile 16 Tile or cement 17 Modern tiles, industrial 18 Traditional tiles, locally made 19 Tile or flat stone 20 Tile, unspecified or mixed materials 21 Fibercement or plastic 22 Fibercement or metal sheets 23 Asphalt or laminate cover 24 Tile, cement, asphalt 25 Asphalt tile 26 Slate or tile 27 Slate or asbestos 28 Asbestos 29 Adobe 30 Tiles or wood planks 31 Roofing shingles 32 Tar paper 33 Metal 34 Sheet metal 35 Zinc or tin 36 Tin 37 Sheet metal or other sheet material 38 Sheet metal, tile, slate 40 Wood and other plant materials 41 Wood 42 Wood, including bamboo 43 Bamboo 44 Cogon, nipa, anahaw 45 Thatch (straw, grass, leaves, palm, etc.) 46 Cane, wood, straw 47 Grass or straw 48 Papyrus 49 Banana leaves or fiber 50 Palm or makuti 51 Straw, bamboo, polythene 52 Wood with clay 53 Grass and mud 54 Rustic mat 60 Mud or earth 61 Clay 70 Cardboard, scrap, and miscellaneous materials 71 Discarded or scrap material 72 Cardboard 73 Plastic, tarpaulin 80 Other, unspecified 90 No roof 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Any deaths in household last year ANYMORT indicates whether there were any deaths in the household in the past year. 1 Yes 2 No 8 Unknown/missing 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Rwanda 2012: All records This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Rwanda 2012: 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 21 21 Technical Household Variables -- HOUSEHOLD Urban <span class="h1">Census Questionnaire (Private Household) </span></p> <p><span class="h2">1. Section L: Localization and identification of Household</span></p> <p>1. Province/ Kigali City _ <br />2. District _ <br />3. Sector _ _ <br />4. Cell _ _ <br />5. Village _ _ <br />6. Enumeration area (Number EA) _ _ <br />7. Area of residence (Urban = 1, Rural = 2) _ <br />8. Building Number _ _ _ <br />9. Household Number _ _ _ <br />10. Type of Household: 100 <br />11. Number of questionnaires filled in this household _ / _ <span class="em">L09: Household number</span> <br />Write the number corresponding to the 3 digits assigned to the household during the numbering of structures and households. Rwanda 2012: All households This variable indicates whether the household is located in an urban or rural area. 1 Urban 2 Rural Geography: O-Z Variables -- HOUSEHOLD Type of housing <span class="h2">Section H: Housing Units Characteristics</span></p> <p>1. Type of Habitat</p> <div class="i1">[] 1 Umudugudu (Clustered rural settlement)<br />[] 2 Old settlement<br />[] 3 Dispersed/ isolated housing<br />[] 4 Planned urban housing<br />[] 5 Spontaneous/ squatter housing<br />[] 6 Other type of housing</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H01: Type of habitat</span> <br />The enumerator simply encircles the number corresponding to the chosen modality. It is absolutely necessary that the enumerator understand sufficiently the 6 modalities of the question H01. These are:</p> <div class="i1">1 - <span class="lang">Umudugudu</span> [clustered rural settlement]: These are houses grouped under the new housing policy.<br />2 - Old settlement: these are houses grouped and built by any institution for under the new housing policy<br />3 - Dispersed/isolated habitat <br />4 - Planned Urban Housing <span class="lang">[cadastre]</span>: it directly refers to modern living requirements of the National Service of Cadastre.<br />5 - Spontaneous or Squatter Habitat <span class="lang">[Akajagari]</span>: these are houses located in informal settlements and messy, an exclusively urban phenomenon.<br />6 - Other type of Housing: to mean all other type of habitat not falling into any of the above categories.</div><p>Example: If dispersed/isolated housing, encircle the code number [image omitted] Rwanda 2012: All households This variable indicates the type of housing. 1 Umudugudu (clustered rural settlement) 2 Old settlement 3 Dispersed or isolated housing 4 Planned urban housing 5 Spontaneous or squatter housing 6 Other type of housing 9 Unknown Group Quarters Variables -- HOUSEHOLD Type of building <span class="h2">Section H: Housing Units Characteristics</span></p> <p>2. Type of building</p> <div class="i1">[] 1 House occupied by one household<br />[] 2 House occupied by several households<br />[] 3 Storey [apartment] building occupied by one or more households<br />[] 4 Several buildings in a compound occupied by several households<br />[] 5 Other type of building</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H02: Type of building </span> <br />For purposes of this census, a building is a housing unit, which a household uses for sleeping, eating, entertaining guests, etc.</p> <p>Encircle the right response out of the five following modalities:</p> <div class="i1">1 - House occupied by a household <br />2 - House occupied by several households <br />3 - Storey building occupied by one or more households <br />4 - Several buildings in the same compound occupied by several households <span class="lang">[Urupangu] </span><br />5 - Other type of structure</div> Rwanda 2012: All households This variable indicates the type of building where the household is located. 1 House occupied by one household 2 House occupied by several households 3 Storey building occupied by one or more household 4 Several buildings in a compound occupied by several household 5 Other type of building 9 Unknown Group Quarters Variables -- HOUSEHOLD Status of occupancy of house <span class="h2">Section H: Housing Units Characteristics</span></p> <p>3. Tenure of the housing unit</p> <div class="i1">[] 1 Owner<br />[] 2 Tenant<br />[] 3 Hire purchase<br />[] 4 Free lodging<br />[] 5 Staff housing<br />[] 6 Refuge/ temporary camp settlement<br />[] 7 Other ____</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H03: Tenure of the housing unit </span> <br />Encircle the code corresponding to the response given.</p> <div class="i1">1 - Owner <br />2 - Renter <br />3 - Hire purchase <br />4 - Free lodging <br />5 - Staff housing<br />6 - Refuge/temporary camp settlement<br />7 - Other</div> Rwanda 2012: All households This variable indicates the occupancy status of the house where the household is located. 1 Owner 2 Tenant 3 Hire purchase 4 Free lodging 5 Staff housing 6 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Roof <span class="h2">Section H: Housing Units Characteristics</span></p> <p>4. What is the main material used for the roof?</p> <div class="i1">In case of a storey [apartment] building, consider the roof of the last floor.<br /><br />[] 1 Iron Sheets<br />[] 2 Local tiles<br />[] 3 Industrial tiles<br />[] 4 Asbestos<br />[] 5 Concrete<br />[] 6 Cartoons/ sheathing<br />[] 7 Grass<br />[] 8 Other material</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H04: Roof materials</span> <br />What is the main material used for the roof? <br />Encircle the code corresponding to the response given.</p> <div class="i1">1 - Iron sheets <br />2 - Local tiles<br />3 - Industrial tiles/sheets <br />4 - Asbestos<br />5 - Concrete<br />6 - Cartoons/Sheeting<br />7 - Grass<br />8 - Other material</div><p>Note: In case of a storey building, consider the roof of the last floor. Rwanda 2012: All households This variable indicates the material used in the construction of the roof of the dwelling. 1 Iron sheets 2 Local tiles 3 Industrial tiles 4 Asbestos 5 Concrete 6 Cartoons or sheathing 7 Grass 8 Other material 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Walls <span class="h2">Section H: Housing Units Characteristics</span></p> <p>5. What is the main material used for the walls?</p> <div class="i1">[] 1 Wood/mud<br />[] 2 Wood/cemented mud<br />[] 3 Sundried bricks<br />[] 4 Plastic sheathing/cardboard<br />[] 5 Cement blocks/concrete<br />[] 6 Stone<br />[] 7 Timber<br />[] 8 Burnt bricks<br />[] 9 Other</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H05: Materials for walls</span> <br />What is the main material used for the walls?</p> <p>The enumerator has clearly to identify the materials of the walls especially in regard to modalities 2 and 3 [type of bricks] and in case of doubt, choose the material most visible. </p> <p>Encircle the code number according to response given by respondent.</p> <div class="i1">1 - Wood/Mud <br />2 - Wood/Cemented mud <br />3 - Sundried bricks <br />4 - Plastic sheeting/Cartoons <br />5 - Cement blocks/Concrete<br />6 - Stone <br />7 - Timber <br />8 - Burnt bricks <br />9 - Other</div> Rwanda 2012: All households This variable indicates the material used in the construction of the walls of the dwelling. 01 Wood or mud 02 Wood or cement mud 03 Sundried bricks 04 Plastic sheating or cardboard 05 Cement blocks or concrete 06 Stone 07 Timber 08 Burnt bricks 09 Other 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Floor <span class="h2">Section H: Housing Units Characteristics</span></p> <p>6. What is the main material used for the floor?</p> <div class="i1">[] 1 Earth/sand<br />[] 2 Concrete<br />[] 3 Stone<br />[] 4 Burn bricks<br />[] 5 Timber<br />[] 6 Other</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H06: Paving materials</span> <br />What is the main material used for the floor?</p> <p>Particularly as regards the predominant material, encircle the code number which matches the response given by the respondent.</p> <div class="i1">1 - Earth/Sand<br />2 - Concrete <br />3 - Stone <br />4 - Burnt bricks <br />5 - Timber <br />6 - Other</div><p>Note: The enumerator has no right to move into the house by way of verification. Rwanda 2012: All households This variable indicates the material used in the construction of the floor of the dwelling. 1 Earth or sand 2 Concrete 3 Stone 4 Burn bricks 5 Timber 6 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms <span class="h2">Section H: Housing Units Characteristics</span></p> <p>7. How many rooms do the housing units have, including bathroom, toilet, kitchen, store rooms?</p> <div class="i1">Number of rooms _ _</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H07: Number of rooms </span> <br />How many rooms do the housing units have, including bathrooms, toilets, kitchen, storerooms? <br />Record the number of rooms available in household in appropriate boxes. Rwanda 2012: All households This variable indicates the number of rooms in the dwelling. 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+ 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Number of rooms for sleeping <span class="h2">Section H: Housing Units Characteristics</span></p> <p>8. How many of those rooms are used for sleeping?</p> <div class="i1">Number of bedrooms _ _</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H08: Number of bed rooms </span> <br />How many of these rooms are used for sleeping? <br />Record the number of rooms used for sleeping in provided boxes Rwanda 2012: All households This variable indicates the number of rooms within the dwelling used for sleeping. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Main source of water <span class="h2">Section H: Housing Units Characteristics</span></p> <p>10. What is the main source of water supply for members of the household?</p> <div class="i1">[] 1 Internal pipe-born water<br />[] 2 Pipe-born water in the compound<br />[] 3 Public tap out of the compound<br />[] 4 Protected spring/well<br />[] 5 Unprotected spring/ well<br />[] 6 Rain water<br />[] 7 River<br />[] 8 Lake/stream/pond/surface water<br />[] 9 Other</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H10: Main source of water </span> <br />What is the main source of water supply for members of the household?</p> <p>Encircle the correct code accordingly response given:</p> <div class="i1">1 - Internal pipe borne water: tap inside the house<br />2 - Pipe borne water in the compound: tap inside the compound <br />3 - Public tap out of the compound <br />4 - Protected spring/well: water collected from protected spring<br />5 - Unprotected spring/well: water collected from unprotected spring <br />6 - Rain water: rain water collected from roof<br />7 - River: water collected from river<br />8 - Lake/stream/pond/surface water: water collected from lake/stream/pong/water body <br />9 - Other</div><p>Note: In the case where the household use more than one source, the enumerator must encircle of the code corresponding to the main source of water most commonly used by the household. Rwanda 2012: All households This variable indicates the main source of water for the household. 1 Internal pipe-born water 2 Pipe-born water in the compound 3 Public tap out of the compound 4 Protected spring or well 5 Unprotected spring or well 6 Rain water 7 River 8 Lake, stream, pond, or surface water 9 Other 0 Unknown Utilities Variables -- HOUSEHOLD Type of toilet facility <span class="h2">Section H: Housing Units Characteristics</span></p> <p>11. What is the main type of toilet facility used by the members of the household?</p> <div class="i1">[] 1 Flush toilet/ water closed (WC) system<br />[] 2 Private pit latrine<br />[] 3 Public pit latrine<br />[] 4 Bush<br />[] 5 Other</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H11: Type of toilet facility </span> <br />The enumerator encircles the appropriate code from the given choice:</p> <div class="i1">1 - Flush toilet<br />2 - Private pit latrine <br />3 - Public pit latrine<br />4 - Bush<br />5 - Other</div> Rwanda 2012: All households This variable indicates the type of toilet facility for the household. 1 Flush toilet or water closet (WC) system 2 Private pit latrine 3 Public pit latrine 4 Bush 5 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Source of lighting <span class="h2">Section H: Housing Units Characteristics</span></p> <p>12. What is the main source of energy the household uses for lighting?</p> <div class="i1">[] 1 Electricity by EWSA<br />[] 2 Hydro-electric or other private source<br />[] 3 Solar power<br />[] 4 Generator<br />[] 5 Kerosene lamp<br />[] 6 Paraffin<br />[] 7 Biogas<br />[] 8 Candle<br />[] 9 Firewood<br />[] 10 Other</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H12: Principal source of lighting</span> <br />What is the main source of energy the household uses for lighting?</p> <p>In case of multiple modalities, the enumerator encircles the most used according to responses given.</p> <div class="i1">1 - Electricity by EWASA<br />2 - Hydro-electric or other private source<br />3 - Solar power<br />4 - Generator<br />5 - Kerosene lamp <br />6 - Paraffin<br />7 - Biogas<br />8 - Candle<br />9 - Firewood <br />10 - Other</div> Rwanda 2012: All households This variable indicates the main lighting source for the household. 01 Electricity by EWSA 02 Hydro-electric or other private source 03 Solar power 04 Generator 05 Kerosene lamp 06 Paraffin 07 Biogas 08 Candle 09 Firewood 10 Other 99 Unknown Utilities Variables -- HOUSEHOLD Energy of cooking <span class="h2">Section H: Housing Units Characteristics</span></p> <p>13. What is the main source of energy the household uses for cooking?</p> <div class="i1">[] 1 Electricity<br />[] 2 Gas<br />[] 3 Biogas<br />[] 4 Kerosene<br />[] 5 Firewood<br />[] 6 Charcoal<br />[] 7 Grass/leaves<br />[] 8 Other</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H13: Main source of energy used for cooking </span> <br />What is the main source of energy the household uses for cooking?</p> <p>The enumerator encircles the most used for boiling or cooking. </p> <div class="i1">1 - Electricity <br />2 - Gas<br />3 - Biogas<br />4 - Kerosene<br />5 - Firewood <br />6 - Charcoal<br />7 - Grass/ leaves<br />8 - Other</div> Rwanda 2012: All households This variable indicates the main cooking energy source used by the household. 1 Electricity 2 Gas 3 Biogas 4 Kerosene 5 Firewood 6 Charcoal 7 Grass or leaves 8 Other 9 Unknown Utilities Variables -- HOUSEHOLD Energy saving stove <span class="h2">Section H: Housing Units Characteristics</span></p> <p>14. Do you have an energy saving stove in this house?</p> <div class="i1">[] 1 Yes, and it is used<br />[] 2 Yes, but it is not used<br />[] 3 No</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H14: Energy saving stove </span> <br />The question is "Do you have an energy saving stove in this house?" This energy saving stove commonly known as <span class="lang">Rondereza</span>mainly made up from clay soils, grass and sand and is used to minimize high consumption of fuel wood/charcoal which leads to deforestation. </p> <p>The enumerator encircles the appropriate modality out of the following accordingly to response given:</p> <div class="i1">1 - Exist and used<br />2 - Exist and unused<br />3 - Do not exist</div> Rwanda 2012: All households This variable indicates whether there is energy saving stove in the dwelling. 1 Yes, and it is used 2 Yes, but not used 3 No 9 Unknown Utilities Variables -- HOUSEHOLD Mode of household waste disposal <span class="h2">Section H: Housing Units Characteristics</span></p> <p>15. What is the main mode of household waste disposal used?</p> <div class="i1">[] 1 Compost dumping<br />[] 2 Private dust bins<br />[] 3 Public refuse dumps<br />[] 4 In the bush<br />[] 5 On the farm<br />[] 6 In a river/stream/drain/gutter<br />[] 7 Other</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H15: Main mode of household waste disposal, </span> <br />What is the main mode of household waste disposal used?</p> <p>The enumerator will encircle the most mode used </p> <div class="i1">1 - Compost dumping<br />2 - Private dust bins<br />3 - Public refuse dumps<br />4 - In the bush<br />5 - On the farms<br />6 - In a river/stream/drain/gutter<br />7 - Other</div> Rwanda 2012: All households This variable indicates the main mode of waste disposal for the household. 1 Compost dumping 2 Private dust bins 3 Public refuse dumps 4 In the bush 5 On the farms 6 In a river, stream, drain, or gutter 7 Other 9 Unknown Utilities Variables -- HOUSEHOLD Mode of sewage disposal <span class="h2">Section H: Housing Units Characteristics</span></p> <p>16. What is the main mode of sewage disposal used by the household?</p> <div class="i1">[] 1 Sump<br />[] 2 In the courtyard<br />[] 3 Rivulet/trench/channels<br />[] 4 In the street<br />[] 5 Main sewer<br />[] 6 Cesspool<br />[] 7 Bush<br />[] 8 Other</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H16: Main mode of sewage disposal</span> <br />What is the main mode of sewage disposal used by the household?</p> <p>The enumerator encircles the most method used by the structure out of the following categories:</p> <div class="i1">1 - Sump: Means the sewage liquid waste from the structure is drained by pipes into a main trunk sewer line. This type of sewage disposal is common in main urban centres like Kigali etc.<br />2 - Courtyard: An area/court opens to the sky and mostly or entirely surrounded by buildings/enclosed on all four sides. <br />3 - Rivulet/Trench/Channels: small stream or a type of excavation. <br />4 - In the street: liquid waste is drained to the street<br />5 - Main sewer: is a separate underground carriage system specifically for transporting sewage from houses and commercial buildings to treatment or disposal.<br />6 - Cesspool: A covered hole or pit for receiving drainage or sewage from housing structure.<br />7 - Bush<br />8 - Other</div> Rwanda 2012: All households This variable indicates the main mode of sewage disposal for the household. 1 Sump 2 In the countryard 3 Rivulet, trench, or channels 4 In the street 5 Main sewer 6 Cesspool 7 Bush 8 Other 9 Unknown Utilities Variables -- HOUSEHOLD Number of radios <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em"> Questions 17-25. How many does the household have of the following assets in functioning condition? </span></p> <p>17. Radios _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H17-H25: Household assets </span> <br />How many does the household have of the following assets in functioning condition?</p> <p>Record the number of each functional asset available in the household accordingly to response given in appropriate boxes.</p> <p>Example: If a household has 3 radios, 2 televisions and 10 bicycles: <br />H17 Radio 3 <br />H18 Television 2 <br />H25 Bicycles 10 Rwanda 2012: All households This variable indicates the number of radios owned by members of the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6+ 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of televisions <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em"> Questions 17-25. How many does the household have of the following assets in functioning condition? </span></p> <p>18. Television _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H17-H25: Household assets </span> <br />How many does the household have of the following assets in functioning condition?</p> <p>Record the number of each functional asset available in the household accordingly to response given in appropriate boxes.</p> <p>Example: If a household has 3 radios, 2 televisions and 10 bicycles: <br />H17 Radio 3 <br />H18 Television 2 <br />H25 Bicycles 10 Rwanda 2012: All households This variable indicates the number of televisions owned by members of the household. 0 0 1 1 2 2 3 3+ 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of telephones (fixed line) <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em"> Questions 17-25. How many does the household have of the following assets in functioning condition? </span></p> <p>19. Telephone (Fixed line) _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H17-H25: Household assets </span> <br />How many does the household have of the following assets in functioning condition?</p> <p>Record the number of each functional asset available in the household accordingly to response given in appropriate boxes.</p> <p>Example: If a household has 3 radios, 2 televisions and 10 bicycles: <br />H17 Radio 3 <br />H18 Television 2 <br />H25 Bicycles 10 Rwanda 2012: All households This variable indicates the number of telephones (fixed line) owned by members of the household. 0 0 1 1 2 2 3 3+ 9 Unknown Utilities Variables -- HOUSEHOLD Number of cell phones <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em"> Questions 17-25. How many does the household have of the following assets in functioning condition? </span></p> <p>20. Cellphone _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H17-H25: Household assets </span> <br />How many does the household have of the following assets in functioning condition?</p> <p>Record the number of each functional asset available in the household accordingly to response given in appropriate boxes.</p> <p>Example: If a household has 3 radios, 2 televisions and 10 bicycles: <br />H17 Radio 3 <br />H18 Television 2 <br />H25 Bicycles 10 Rwanda 2012: All households This variable indicates the number of cell phones owned by members of the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 Unknown Utilities Variables -- HOUSEHOLD Number of refrigerators or freezers <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em"> Questions 17-25. How many does the household have of the following assets in functioning condition? </span></p> <p>21. Refrigerator/Freezer _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H17-H25: Household assets </span> <br />How many does the household have of the following assets in functioning condition?</p> <p>Record the number of each functional asset available in the household accordingly to response given in appropriate boxes.</p> <p>Example: If a household has 3 radios, 2 televisions and 10 bicycles: <br />H17 Radio 3 <br />H18 Television 2 <br />H25 Bicycles 10 Rwanda 2012: All households This variable indicates the number of refrigerators or freezers owned by members of the household. 0 0 1 1 2 2 3 3 4 4+ 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of computers <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em"> Questions 17-25. How many does the household have of the following assets in functioning condition? </span></p> <p>22. Computer _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H17-H25: Household assets </span> <br />How many does the household have of the following assets in functioning condition?</p> <p>Record the number of each functional asset available in the household accordingly to response given in appropriate boxes.</p> <p>Example: If a household has 3 radios, 2 televisions and 10 bicycles: <br />H17 Radio 3 <br />H18 Television 2 <br />H25 Bicycles 10 Rwanda 2012: All households This variable indicates the number of computers owned by members of the household. 0 0 1 1 2 2 3 3 4 4 5 5+ 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of bicycles <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em"> Questions 17-25. How many does the household have of the following assets in functioning condition? </span></p> <p>25. Bicycles _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H17-H25: Household assets </span> <br />How many does the household have of the following assets in functioning condition?</p> <p>Record the number of each functional asset available in the household accordingly to response given in appropriate boxes.</p> <p>Example: If a household has 3 radios, 2 televisions and 10 bicycles: <br />H17 Radio 3 <br />H18 Television 2 <br />H25 Bicycles 10 Rwanda 2012: All households This variable indicates the number of bicycles owned by members of the household. 0 0 1 1 2 2 3 3 4 4+ 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of vehicles <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em"> Questions 17-25. How many does the household have of the following assets in functioning condition? </span></p> <p>23. Vehicles _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H17-H25: Household assets </span> <br />How many does the household have of the following assets in functioning condition?</p> <p>Record the number of each functional asset available in the household accordingly to response given in appropriate boxes.</p> <p>Example: If a household has 3 radios, 2 televisions and 10 bicycles: <br />H17 Radio 3 <br />H18 Television 2 <br />H25 Bicycles 10 Rwanda 2012: All households This variable indicates the number of vehicles owned by members of the household. 0 0 1 1 2 2 3 3 4 4+ 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of motorcycles <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em"> Questions 17-25. How many does the household have of the following assets in functioning condition? </span></p> <p>24. Motorcycles _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H17-H25: Household assets </span> <br />How many does the household have of the following assets in functioning condition?</p> <p>Record the number of each functional asset available in the household accordingly to response given in appropriate boxes.</p> <p>Example: If a household has 3 radios, 2 televisions and 10 bicycles: <br />H17 Radio 3 <br />H18 Television 2 <br />H25 Bicycles 10 Rwanda 2012: All households This variable indicates the number of motorcycles owned by members of the household. 0 0 1 1 2 2 3 3+ 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Internet access <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em"> Questions 17-25. How many does the household have of the following assets in functioning condition? </span></p> <p>26. Does any member of this household have access to the Internet?</p> <div class="i1">[] 1 Yes<br />[] 2 No [Go to Question 28-34.]</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H26: Internet access</span> <br />Encircle the code number which matches the response given. <br />If yes, encircle code "1" <br />If not, encircle code "2" <br />Note: If the response is "2" go to H28-34. Rwanda 2012: All households This variable indicates whether any member of the household has access to the internet. 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Location of internet access <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em"> Questions 17-25. How many does the household have of the following assets in functioning condition? </span></p> <p>26. Does any member of this household have access to the Internet?</p> <div class="i1">[] 1 Yes<br />[] 2 No [Go to Question 28-34.]</div><p>27. Where do you access Internet?</p> <div class="i1">[Select all that apply.]<br /><br />[] 1 From home<br />[] 2 From office/ school<br />[] 4 From Cyber cafe<br />[] 8 Other</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H27: Where do you access internet?</span> <br />Encircle the code number accordingly to the location he/she can access internet. </p> <div class="i1">1 - From home<br />2 - From office/school<br />4 - From cyber café<br />8 - Other</div><p>Record the sum of the codes circled.</p> <p>If he/she can access internet in many locations, encircle the code numbers of them. Then record the sum of the codes circled responses in provided boxes.</p> <p>Example: Someone who can access internet from home and from office/school. </p> <div class="i1">1 - From home<br />2 - From school<br />Sum 1 + 2<br />Record "03"</div> Rwanda 2012: Households with internet access [discrepancies: none] This variable indicates where household members access the internet. 01 From home 02 From office or school 03 From home and from office or school 04 From cyber cafe 05 Home and cyber cafe 06 Office and cyber 07 From home, office, and cyber 08 Other 09 From home and other 10 From office and other 11 From home, office, and other 12 From cyber cafe and other 13 From home, cyber cafe, and other 14 From office, cyber cafe, and other 15 From home, office, cyber cafe, and other 98 Unknown 99 NIU (not in universe) Utilities Variables -- HOUSEHOLD Cattle (number), local breed cow <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em">28-34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household? </span></p> <p>28a. Local breed cow _ _ _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H28-H34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household?</span> <br />Record the number of domestic animals accordingly to response given in appropriate boxes.</p> <p>Example: If in the household there are 12 big cattle and 2 rabbits: <br />H27 Big cattle 0012 <br />H32 rabbits 0002 Rwanda 2012: All households This variable indicates the number of cattle (local breed cow) in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 to 14 15 15 to 19 20 20 to 29 30 30+ 99 Unknown Household Economic Variables -- HOUSEHOLD Cattle (number), cross breed cow <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em">28-34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household? </span></p> <p>28b. Cross breed cow _ _ _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H28-H34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household?</span> <br />Record the number of domestic animals accordingly to response given in appropriate boxes.</p> <p>Example: If in the household there are 12 big cattle and 2 rabbits: <br />H27 Big cattle 0012 <br />H32 rabbits 0002 Rwanda 2012: All households This variable indicates the number of cattle (cross breed cow) in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 to 14 15 15 to 19 20 20+ 99 Unknown Household Economic Variables -- HOUSEHOLD Cattle (number), exotic breed cow <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em">28-34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household? </span></p> <p>28c. Exotic breed cow _ _ _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H28-H34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household?</span> <br />Record the number of domestic animals accordingly to response given in appropriate boxes.</p> <p>Example: If in the household there are 12 big cattle and 2 rabbits: <br />H27 Big cattle 0012 <br />H32 rabbits 0002 Rwanda 2012: All households This variable indicates the number of cattle (exotic breed cow) in the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8+ 9 Unknown Household Economic Variables -- HOUSEHOLD Goats (number) <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em">28-34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household? </span></p> <p>29. Goats _ _ _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H28-H34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household?</span> <br />Record the number of domestic animals accordingly to response given in appropriate boxes.</p> <p>Example: If in the household there are 12 big cattle and 2 rabbits: <br />H27 Big cattle 0012 <br />H32 rabbits 0002 Rwanda 2012: All households This variable indicates the number of goats in the household. 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 to 19 20 20 to 29 30 30+ 99 Unknown Household Economic Variables -- HOUSEHOLD Sheep (number) <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em">28-34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household? </span></p> <p>30. Sheep _ _ _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H28-H34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household?</span> <br />Record the number of domestic animals accordingly to response given in appropriate boxes.</p> <p>Example: If in the household there are 12 big cattle and 2 rabbits: <br />H27 Big cattle 0012 <br />H32 rabbits 0002 Rwanda 2012: All households This variable indicates the number of sheep in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 Unknown Household Economic Variables -- HOUSEHOLD Pigs (number) <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em">28-34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household? </span></p> <p>31. Pigs _ _ _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H28-H34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household?</span> <br />Record the number of domestic animals accordingly to response given in appropriate boxes.</p> <p>Example: If in the household there are 12 big cattle and 2 rabbits: <br />H27 Big cattle 0012 <br />H32 rabbits 0002 Rwanda 2012: All households This variable indicates the number of pigs in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 Unknown Household Economic Variables -- HOUSEHOLD Rabbits (number) <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em">28-34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household? </span></p> <p>32. Rabbits _ _ _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H28-H34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household?</span> <br />Record the number of domestic animals accordingly to response given in appropriate boxes.</p> <p>Example: If in the household there are 12 big cattle and 2 rabbits: <br />H27 Big cattle 0012 <br />H32 rabbits 0002 Rwanda 2012: All households This variable indicates the number of rabbits in the household. 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 to 19 20 20+ 99 Unknown Household Economic Variables -- HOUSEHOLD Poultry or fowl (number) <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em">28-34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household? </span></p> <p>33. Poultry _ _ _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H28-H34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household?</span> <br />Record the number of domestic animals accordingly to response given in appropriate boxes.</p> <p>Example: If in the household there are 12 big cattle and 2 rabbits: <br />H27 Big cattle 0012 <br />H32 rabbits 0002 Rwanda 2012: All households This variable indicates the number of poultry or fowl in the household. 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+ 99 Unknown Household Economic Variables -- HOUSEHOLD Other poultry (number) <span class="h2">Section H: Housing Units Characteristics</span></p> <p><span class="em">28-34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household? </span></p> <p>34. Other poultry _ _ _ _ <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H28-H34: How many cattle, goats, sheep, pigs, poultry/fowl and rabbits do you have in this household?</span> <br />Record the number of domestic animals accordingly to response given in appropriate boxes.</p> <p>Example: If in the household there are 12 big cattle and 2 rabbits: <br />H27 Big cattle 0012 <br />H32 rabbits 0002 Rwanda 2012: All households This variable indicates the number of other poultry in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 Unknown Household Economic Variables -- HOUSEHOLD Agricultural activity in the last 12 months <span class="h2">Section H: Housing Units Characteristics</span></p> <p>35 During the last 12 months (August 15, 2011 to August 15, 2012), has any member of this household done agriculture activity or rented his land?</p> <div class="i1">[] 1 Yes, in his own land<br />[] 2 Yes, in land he rented<br />[] 3 No, he/she had rented it out<br />[] 4 No, he/she has not rented it<br />[] 5 No, without land</div> <span class="em">Section H: Housing units characteristics</span> <br /><span class="em">5.3.5. How to complete Section H: Habitat [H01 to H35]</span> <br />Questions on habitat are also asked to the household head or his representative.</p> <p><span class="em">H35: Possession of land </span> <br />During the last 12 months, has any member of this household done agriculture activity or rented his land? </p> <p>Encircle the code number according to response given by respondent.</p> <div class="i1">1 - Yes, in his own land<br />2 - Yes, in land he rented <br />3 - No, he/she has rented it out<br />4 - No, he/she has not rented it<br />5 - No, without land</div><p>Example: If response is "yes, in land he rented", encircle code "2". If response is "no, without land", encircle code "4", etc. If you have reached at the end of this section, proceed to next section M. Rwanda 2012: All households This variable indicates how the household uses land for agricultural activity. 00 No agricultural activity and without land 01 Yes, agricultural activity on own land 02 Yes, agricultural activity on rented land 03 Yes, agricultural activity on own land and rented land 04 No agricultural activity, and he or she rented land out 05 Yes, agricultural activity on own land, but not on land he or she rented out 06 Yes, agricultural activity on rented land, and he or she has rented land out 07 Yes, agricultural activity on own land and rented land, and he or she has rented land out 08 No agricultural activity, and he or she has not rented land out 09 Yes, agricultural activity on own land, and he or she has not rented land out 10 Yes, agricultural activity on rented land, and he or she has not rented out land 11 Yes, agricultural activity on own land and on rented land, and he or she has not rented land out 12 No agricultural activity, and he or she has rented land out and land not rented out 99 Unknown Household Economic Variables -- HOUSEHOLD Death in the household <span class="h2">Section M: Mortality </span></p> <p>Please record information on deaths that occurred in the household during the last 12 months. Do not forget the children.</p> <p>1. Is there any member of the household who died during the last 12 months (August 15, 2011- August 15, 2012)?</p> <div class="i1">[] 1 Yes<br />[] 2 No [End of the interview.]</div> <span class="em">Section M: Mortality </span> <br /><span class="em">5.3.6. How to complete the Section M: Mortality </span> <br />Please record all information on deaths that occurred in the household during the last 12 months and do not forget the children.</p> <p>Many people do not want to talk of the dead and many others find it painful to talk about their dead persons, the enumerator has to prove prudent and careful for obvious reasons. He asks the household Head or his representative, discreetly; if there have been deaths in the household since the last 12 months. If there have been no deaths, end of the interview and go to next household.</p> <p>Note: Even though a deceased person after census night is enumerated as present resident [PR] or absent resident [AR], but is not included in the deaths of last 12 months.</p> <p><span class="em">M1: Is there any member of the household who died during the last 12 months [15/08/2011-15/08/2012]?</span></p> <p>M1 [Names]: If there has been death in the household during the last 12 months, encircle the code number 1 and go to next question M2.</p> <p>If there has been no death in the household during the last 12 months, encircle the code number 2 and end the interview, do not write anything on M2 question. Rwanda 2012: All households This variable indicates whether the household experienced any death in the last 12 months. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Strata Rwanda 2012: This variable is the strata identifier for the sample. This is a 5-digit numeric variable with 0 implied decimal places Geography: Global 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 Residence status: de facto, de jure RESIDENT identifies whether an enumerated person is a household resident or a visitor and whether she or he was present at the time of enumeration. This variable is available only in samples that enumerated both de facto and de jure residents. It can be used to eliminate the double-counting of persons who were enumerated both at their permanent residence and at the residence they were visiting on census night. De jure population: present residents and absent residents. De facto population: present residents and visitors/non-residents. 1 Present resident 2 Absent resident 3 Visitor/non-resident 4 De facto population (present persons) 9 Unknown/missing Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Polygamous union POLYGAM indicates whether the respondent was in a polygamous union and, in some samples, the number of wives or the rank order of the wife. 00 NIU (not in universe) 01 No, in monogamous union 02 Yes, in polygamous union 03 Man in polygamous union 04 Polygamous man, 2 wives 05 Polygamous man, 3 or more wives 06 Woman in polygamous union 07 Polygamous marriage, 2 wives 08 Polygamous marriage, 3 or more wives 09 First wife 10 Second wife 11 Third or higher order wife 99 Unknown/missing Demographic Variables -- PERSON Age at first marriage or union AGEMARR indicates the person's age at first marriage or consensual union. 00 NIU (not in universe) 10 10 or younger 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 Unknown 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 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 1782 1782 1783 1783 1784 1784 1785 1785 1786 1786 1787 1787 1788 1788 1789 1789 1790 1790 1791 1791 1792 1792 1793 1793 1794 1794 1795 1795 1796 1796 1797 1797 1798 1798 1799 1799 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 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 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 Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children ever born CHBORNF indicates the number of female children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children ever born CHBORNM indicates the number of male children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children surviving CHSURVF indicates the number of female children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children surviving CHSURVM indicates the number of male children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of births last year BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. 0 None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving from births last year BIRTHSURV indicates the number of children born in the past twelve months who were still living at the time of the census. 0 0 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) 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 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 Country of citizenship NATION indicates the person's country of citizenship. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt/United Arab Rep. 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24021 Canada, First Nations 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33991 Laos and Cambodia 33992 Malaysia and Singapore 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown Nativity and Birthplace Variables -- PERSON Has birth certificate or birth is registered BTHCERT indicates whether the person has a birth certificate or their own birth is registered. 1 Yes 2 No 3 Respodent does not know 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON District of birth, Rwanda, 2012 BPLRW2 indicates the person's district of birth within Rwanda, in 2012. BPLRW1 indicates the person's district of birth within Rwanda in 1991 and 2002. 11 Nyarugenge 12 Gasabo 13 Kicukiro 21 Nyanza 22 Gisagara 23 Nyaruguru 24 Huye 25 Nyamagabe 26 Ruhango 27 Muhanga 28 Kamonyi 31 Karongi 32 Rutsiro 33 Rubavu 34 Nyabihu 35 Ngororero 36 Rusizi 37 Nyamasheke 41 Rulindo 42 Gakenye 43 Musanze 44 Burera 45 Gicumbi 51 Rwamagana 52 Nyagatare 53 Gatsibo 54 Kayonza 55 Kirehe 56 Ngoma 57 Bugesera 98 Foreign Born 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 Speaks English SPEAKENG indicates whether the respondent could speak English or if English was the respondent's language of literacy. 1 Yes 2 No 7 Does not speak 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Rwanda EDUCRW indicates the person's educational attainment in Rwanda in terms of the level of schooling completed. 000 NIU (not in universe) 100 None 110 Preschool, year 0 111 Preschool, year 1 112 Preschool, year 2 113 Preschool, year 3 210 Primary, year 0 211 Primary, year 1 212 Primary, year 2 213 Primary, year 3 214 Primary, year 4 215 Primary, year 5 216 Primary, year 6 217 Primary, year 7 218 Primary, year 8 219 Primary, year unknown 220 Year 0 221 Agricultural and vocational primary, year 1 222 Agricultural and vocational primary, year 2 223 Agricultural and vocational primary, year 3 229 Agricultural and vocational primary, year unknown 230 Lower secondary general, year 0 231 Lower secondary general, year 1 232 Lower secondary general, year 2 233 Lower secondary general, year 3 241 Lower secondary vocational, year 1 242 Lower secondary vocational, year 2 243 Lower secondary vocational, year 3 251 Lower secondary technical, year 1 252 Lower secondary technical, year 2 253 Lower secondary technical, year 3 331 Higher secondary general, year 4 332 Higher secondary general, year 5 333 Higher secondary general, year 6 339 Higher secondary general, year unknown 341 Higher secondary vocational, year 4 342 Higher secondary vocational, year 5 343 Higher secondary vocational, year 6 349 Higher secondary vocational, year unknown 351 Higher secondary technical, year 4 352 Higher secondary technical, year 5 353 Higher secondary technical, year 6 359 Higher secondary technical, year unknown 400 University, year 0 401 University, year 1 402 University, year 2 403 University, year 3 404 University, year 4 405 University, year 5 406 University, year 6 407 University, year 7+ 409 University, year unknown 999 Unknown Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON Sector of employment EMPSECT indicates the economic sector in which the person was employed. Economic sector is defined in terms of ownership or control of the enterprise in which the person worked. 00 NIU (not in universe) 10 Public 20 Private 21 Private, not elsewhere classified 22 Individual/family enterprise, and self-employed 23 Foreign 30 Mixed: public-private or parastatal 40 Collective or cooperative 50 Foreign government or non-governmental organization 60 Other, unspecified 61 Canal zone 62 Faith-based organization 63 Informal sector 99 Unknown Work Variables -- PERSON Available to work WRKAVAIL indicates whether a person is available to work (readiness) within a short period of time. 1 Yes 2 No 8 Unknown 9 NIU (Not in universe) Work Variables -- PERSON Migration status, previous residence MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 98 Response suppressed 99 Not reported/missing/unknown Migration: Global Variables -- PERSON Country of previous residence MIGCTRYP indicates the country of previous residence of international migrants. Persons who never lived abroad are coded to the "non-migrant" category. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12100 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13990 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15150 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15160 Sierra Leone 15170 Togo 19999 Africa, n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent and the Grenadines 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and Latin America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 Saint Pierre and Miquelon 24050 United States 24051 U.S. Outlying Areas and Territories 24999 U.S.A, Canada, Mexico 29999 Americas, n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33061 Malaysia and Singapore 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34190 Middle East, not specified 34191 Arabia 34199 Gulf countries 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Albania/Bulgaria/Romania 41030 Czech Republic 41031 Czechoslovakia/Yugoslavia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42199 Scandinavia 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Serbia and Montenegro 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Benelux (Belgium/Netherlands/Luxemburg) 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 49990 Europe, n.s. 49991 Central and Eastern Europe 49992 European Union 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51021 New Zealand/New Guinea 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 60010 Europe, Australia, New Zealand 60020 Asia and Oceania, n.s. 90000 Non-migrants (International) 99998 Response suppressed 99999 Unknown Migration: Global Variables -- PERSON Province of previous residence, Rwanda, 2012; consistent boundaries, GIS MIG1ALT_P_RW indicates the person's province of previous residence within Rwanda in 2012. 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. 646001 Kigali City 646002 Southern Province 646003 Western Province 646004 Northern Province 646005 Eastern Province 646007 Abroad 646008 Unknown Migration: O-Z Variables -- PERSON District of previous residence, Rwanda, 2012; consistent boundaries, GIS MIG2_P_RW indicates the person's district of previous residence within Rwanda. Migration district codes from MIG2_P_RW are compatible with codes from GEO2_RW. 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. 646001001 Nyarugenge District 646001002 Gasabo 646001003 Kicukiro 646002001 Nyanza 646002002 Gisagara 646002003 Nyaruguru 646002004 Huye 646002005 Nyamagabe 646002006 Ruhango 646002007 Muhanga 646002008 Kamonyi 646003001 Karongi 646003002 Rutsiro 646003003 Rubavu 646003004 Nyabihu 646003005 Ngororero 646003006 Rusizi 646003007 Nyamasheke 646004001 Rulindo 646004002 Gakenke 646004003 Musanze 646004004 Burera 646004005 Gicumbi 646005001 Rwamagana 646005002 Nyagatare 646005003 Gatsibo 646005004 Kayonza 646005005 Kirehe 646005006 Ngoma 646005007 Bugesera 646097097 Abroad 646098098 Unknown Migration: O-Z Variables -- PERSON Disability status DISABLED indicates whether the person reported a disability of any kind. 0 NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown Disability Variables -- PERSON Blind or vision-impaired DISBLND indicates whether the person was blind or had limited vision. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Deaf or hearing-impaired DISDEAF indicates whether the person was deaf or had limited hearing. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mute or speech impaired DISMUTE indicates if the person could not speak or had a significant speech impediment. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability limiting ability to walk DISMOBIL indicates whether the person has difficulty walking or climbing stairs. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mental disability DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Origin of disability DISORIG indicates the cause or origin of a person's stated disability. 00 NIU (not in universe) 10 Congenital, since birth 20 Disease 21 Polio, infant paralysis 22 Parkinsons 23 Sclerosis 24 Stroke 25 Epilepsy 26 Hanson disease 29 Other disease 30 Accident 31 Work accident 32 Transport accident 33 Animal accident 34 Sports, athletic, or playing accident 39 Other accident 40 Other 41 Aging 42 Mental infirmity 43 War injury 44 Genocide 45 Anti-personnel mine or unexploded ordnance (UXO) 46 Domestic violence 47 Violence of delinquency 48 Other form of violence 49 Witchcraft 50 Other cause, n.e.c. 70 Multiple causes 90 No disability 99 Unknown Disability Variables -- PERSON Person number (within household) Rwanda 2012: All records This variable indicates the person number (within household). 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 Technical Person Variables -- PERSON Relationship to household head <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 1-6 were asked of all members of the household.]</p> <p>2. What is the respondent's relationship to the head of household?</p> <div class="i1">[] 1 Head of household<br />[] 2 Spouse<br />[] 3 Son/daughter<br />[] 4 Unrelated child<br />[] 5 Father/mother<br />[] 6 Brother/sister<br />[] 7 Grandchild<br />[] 8 Other relative<br />[] 9 Non relative</div> <span class="em">P02: Relationship: What is [the person]'s relationship to the head of household?</span> <br />This question should be responded by the head who describes the relationship between him and other members of the household. In case of absence, his/her representative, should describe to the enumerator the relationship between the household head and all residents in the household.</p> <p>Always the head of the household should be listed in the first line in the question1 [P01] corresponding to the code 1. Then by asking the respondent the relationship of each member of the household to the head, the enumerator encircles the code corresponding to the response. </p> <p>For instance: If the response is 2 [spouse] encircle code "2" etc. </p> <p>You must probe to find out whether the children you have coded as sons and daughters are the head's biological children. If they are not, establish further whether they should fall under code "4" [unrelated children] or code "9" [non-relatives]. There are several persons who are not related by blood or marriage but constitutes a household, mostly in urban areas. Encircle code "1" as head of the household and the remaining members; encircle code "9" as non-relative.</p> <p>The relationship of the usual members of the household should be correctly identified and the appropriate code of the relationship for each member of the household should be encircled from the codes given under this question. The choices of the relationship codes listed under this question are given below: </p> <div class="i1">1 - Head<br />2 - Spouse<br />3 - Son/daughter<br />4 - Unrelated child <br />5 - Father/mother<br />6 - Brother/sister<br />7 - Grandchild<br />8 - Other relative<br />9 - Non-relative</div> Rwanda 2012: All persons This variable indicates the person's relationship to the household head. 1 Head of household 2 Spouse 3 Son or daughter 4 Unrelated child 5 Father or mother 6 Brother or sister 7 Grandchild 8 Other relative 9 Non relative Demographic Variables -- PERSON Sex <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 1-6 were asked of all members of the household.]</p> <p>3. Is the respondent male or female?</p> <div class="i1">[] 1 Male<br />[] 2 Female</div> <span class="em">P03: Sex: Is [the person] male or female? </span> <br />[For private and institutional household questionnaires] <br />Encircle only the code corresponding to the given response.</p> <p>For example, if the member is male, encircle code 1. Similarly, if the member is female encircle code 2.</p> <p>Check that the sex is compatible with relationship: do not assign "male" to persons shown as wives or daughters nor "female" for persons shown as sons or husbands. </p> <p>Take particular care to record the sex of very young children correctly. Often, you will not know whether a baby carried on its mother's back is a boy or a girl. In such cases, you must ask - do not guess. You should ensure that everybody's sex is recorded. Blank is strictly forbidden.</p> <p>Note: If you see well the sex of the respondent no reason to ask him/her the sex unless you have confusion. Rwanda 2012: All persons This variable indicates the gender of the person. 1 Male 2 Female Demographic Variables -- PERSON Month of birth <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 1-6 were asked of all members of the household.]</p> <p>4. In what month and year was the respondent born?</p> <div class="i1">Month _ _<br />Year _ _ _ _</div> <span class="em">P04: Date of birth: In what month and year was [the person] born? </span> <br />[For private and institutional household questionnaires] <br />Age is one of the most important pieces of information to be sought in a census. You must try as much as possible to record the correct age of the respondent. Under no circumstances should this column be left blank. You must probe to make sure that you get even a rough estimate.</p> <p>Note: Make sure always that your writing is legible and within the appropriate box. Rwanda 2012: All persons This variable indicates the month of birth of the person. 01 January 02 Feburary 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 Unknown Demographic Variables -- PERSON Year of birth <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 1-6 were asked of all members of the household.]</p> <p>4. In what month and year was the respondent born?</p> <div class="i1">Month _ _<br />Year _ _ _ _</div> <span class="em">P04: Date of birth: In what month and year was [the person] born? </span> <br />[For private and institutional household questionnaires] <br />Age is one of the most important pieces of information to be sought in a census. You must try as much as possible to record the correct age of the respondent. Under no circumstances should this column be left blank. You must probe to make sure that you get even a rough estimate.</p> <p>Note: Make sure always that your writing is legible and within the appropriate box. Rwanda 2012: All persons This variable indicates the year of birth of the person. 1910 1910 or earlier 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 9999 Unknown Demographic Variables -- PERSON Age <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 1-6 were asked of all members of the household.]</p> <p>5. How old was the respondent at his/her last birthday?</p> <div class="i1">Record age in completed years<br /><br />Age _ _ _</div> <span class="em">P05: Age at last birthday: How old was [the person] at his/her last birthday? </span> <br />[For private and institutional household questionnaires] <br />Always start by asking the person's age and follow up with the question on the date of birth as a consistency check on the former question (P05). Write the person's age in completed years - that is, the person's age at his or her last birthday. For babies under one year of age, write 000. </p> <p>Use three digits in completing age; e.g. "001", "002", etc. </p> <p>Many people do not know their ages. If a person's age is not known, you must make the best estimate possible. There are various ways in which you can estimate a person's age. Sometimes, people have documents, such as baptismal certificates, which show the year of birth, in which case it is easy to calculate age. Most people have identity cards showing when they were born. <br />It is sometimes possible to estimate a person's age by relating his or her birth to some notable historical event. With these instructions a historical calendar of events [see Appendix] which lists the dates of events in the history of each district can be helpful. If the person can remember how old she/he was at the time of the event, you can work out the person's age.</p> <p>Check that it is compatible with his or her relationship to others in the household. Obviously children cannot be older than their parents; a women seldom of 19 years old who is a mother of young boy of 18 years old, and so on. </p> <p>Note: Note that any estimate of age, however rough, is better than 'blank' in this question. Do the best you can to report ages accurately. </p> <p>If the response is 3 years to be completed in the given boxes with two digits, enumerator writes as follows: 003. Rwanda 2012: All persons This variable indicates the age of the person. 000 0 001 1 002 2 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100 101 101 102 102+ Demographic Variables -- PERSON Residence status <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 1-6 were asked of all members of the household.]</p> <p>6. What is resident status of the respondent?</p> <div class="i1">[] 1 Present resident<br />[] 2 Absent resident<br />[] 3 Visitor</div> <span class="em">P06: Resident status: What is the resident status of [the person]? </span> <br />The residence status of all members of the household and visitors should be asked "what is residence status of [the person]?" and the appropriate code should be encircled. The choices of the codes are given below:</p> <div class="i1">1 - Present Resident at the time of the reference census night [PR]<br /> 2 - Absent Resident at the time of the reference census night [AR]<br /> 3 - Visitors [VIS]</div><p>Note: [1] Prison is not enumerated in household. <br />For usual residents [visitors are not considered] Rwanda 2012: All persons This variable indicates the residence status of the person. 1 Present resident 2 Absent resident Migration: Global Variables -- PERSON District or country of birth <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 7-13 were asked of all usual residents.]</p> <p>7. Where was respondent born?</p> <div class="i1">Province ____<br />District ____<br />Foreign Country ____</div> <span class="em">P07: Birthplace: Where was [the person] born? [Province or district or foreign country] </span> <br />[For private and institutional household questionnaires] <br />Birthplace is the usual place of residence of mother at the time of the respondent's birth. This question is meant to establish persons who are not enumerated in their places of birth and hence have migrated. Sometimes expectant mothers move from the rural areas to urban areas for purposes of delivery since maternity services are better at the latter. This kind of movement is short lived and must not be confused with a migratory one. For example, if a woman who usually resides in Karongi district moves to Kigali [CHUK] for maternity, it will be assumed that the woman went to Kigali purposely for maternity services. Thus the district of birth of the child will be recorded as Karongi. </p> <p>District boundaries have been changed over the years of administrative system and we want to relate a person's place of birth to the district as it is constituted now. For districts which have been split by the reform, probe to find the actual district of birth and write the name by which it is currently known. </p> <p>Note: For someone who was born in Rwanda, write the district of birth and for someone who was born abroad, write the country where he was born. Rwanda 2012: All persons This variable indicates the person's province or country of birth. 011 Nyarugenge 012 Gasabo 013 Kicukiro 021 Nyanza 022 Gisagara 023 Nyaruguru 024 Huye 025 Nyamagabe 026 Ruhango 027 Muhanga 028 Kamonyi 031 Karongi 032 Rutsiro 033 Rubavu 034 Nyabihu 035 Ngororero 036 Rusizi 037 Nyamasheke 041 Rulindo 042 Gakenye 043 Musanze 044 Burera 045 Gicumbi 051 Rwamagana 052 Nyagatare 053 Gatsibo 054 Kayonza 055 Kirehe 056 Ngoma 057 Bugesera 307 Burundi 312 Republic of Congo 313 Democratic Republic of Congo 325 Kenya 339 Uganda 349 Tanzania 355 Other country of Africa 371 United States 391 Other American countries 402 China 408 India 440 Other Asian Countries 442 Belgium 477 Other European countries 999 Unknown Nativity and Birthplace Variables -- PERSON Nationality <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 7-13 were asked of all usual residents.]</p> <p>8. What is the respondent's nationality?</p> <div class="i1">Record the name of country.<br /><br />1st nationality ____<br />2nd nationality ____<br />Foreigner ____</div> <span class="em">P08: Nationality: What is [the person]'s nationality? </span> <br />[For private and institutional household questionnaires] <br />If Rwandan only, write Rwanda at the first nationality and proceed to next question [do not write anything in provided boxes or in other reserved places].</p> <p>If Rwandan with a second nationality, write Rwanda at the first nationality; at the second nationality write the name of second nationality or the name of homeland [do not write anything in boxes reserved].</p> <p>If the respondent declares to be foreigner, write only the name of his nationality or the name of his homeland in provided place [do not write anything at the first and second nationality or in boxes reserved]. </p> <p>For a young child, write father's nationality Rwanda 2012: All persons This variable indicates the person's nationality. 100 Rwanda Only 101 Rwanda and South Africa 102 Rwanda and Algeria 103 Rwanda and Angola 105 Rwanda and Botswana 107 Rwanda and Burundi 110 Rwanda and Central African Republic 113 Rwanda and Democratic Republic of Congo 139 Rwanda and Uganda 149 Rwanda and Tanzania 155 Rwanda and other country of Africa 163 Rwanda and Canada 191 Rwanda and other American countries 240 Rwanda and an Asian country 242 Rwanda and Belgium 249 Rwanda and France 277 Rwanda and other European countries 307 Burundi 313 Democratic Republic of Congo 325 Kenya 339 Uganda 349 Tanzania 355 Other country of Africa 391 American countries 400 Brunei 402 China 408 India 440 Other Asian countries 477 European countries 999 Unknown Nativity and Birthplace Variables -- PERSON Province of previous residence <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 7-13 were asked of all usual residents.]</p> <p>9. Where was the respondent residing previously?</p> <div class="i1">Province ____<br />District ____<br />Foreign Country ____</div> <span class="em">P09: Place of previous residence: Where was [the person] residing previously? </span> <br />[For private and institutional household questionnaires] <br />For persons who were living in Rwanda before August 2012, indicate the district name of their previous residence in P09. For districts which have been split during the restructuring, probe to find the actual district of residence in August 2012 and write the name by which it is currently known.</p> <p>A person who may have been absent from home temporarily for some reason such as visiting relatives or in hospital, or who may have been overseas on a visit of less than six months, should be shown where they normally lived before August, 2012. </p> <p>If the person was living in another country before August 2012, use the name pertaining to the specific country. Rwanda 2012: All persons This variable is the person's province of previous residence. 1 Kigali City 2 Southern Province 3 Western Province 4 Northern Province 5 Eastern Province 7 Abroad 8 Unknown Migration: Global Variables -- PERSON District or country of previous residence <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 7-13 were asked of all usual residents.]</p> <p>9. Where was the respondent residing previously?</p> <div class="i1">Province ____<br />District ____<br />Foreign Country ____</div> <span class="em">P09: Place of previous residence: Where was [the person] residing previously? </span> <br />[For private and institutional household questionnaires] <br />For persons who were living in Rwanda before August 2012, indicate the district name of their previous residence in P09. For districts which have been split during the restructuring, probe to find the actual district of residence in August 2012 and write the name by which it is currently known.</p> <p>A person who may have been absent from home temporarily for some reason such as visiting relatives or in hospital, or who may have been overseas on a visit of less than six months, should be shown where they normally lived before August, 2012. </p> <p>If the person was living in another country before August 2012, use the name pertaining to the specific country. Rwanda 2012: All persons This variable indicates the person's province or country of previous residence. 011 Nyarugenge 012 Gasabo 013 Kicukiro 021 Nyanza 022 Gisagara 023 Nyaruguru 024 Huye 025 Nyamagabe 026 Ruhango 027 Muhanga 028 Kamonyi 031 Karongi 032 Rutsiro 033 Rubavu 034 Nyabihu 035 Ngororero 036 Rusizi 037 Nyamasheke 041 Rulindo 042 Gakenye 043 Musanze 044 Burera 045 Gicumbi 051 Rwamagana 052 Nyagatare 053 Gatsibo 054 Kayonza 055 Kirehe 056 Ngoma 057 Bugesera 301 South Africa 307 Burundi 312 Republic of Congo 313 Democratic Republic of Congo 319 Gabon 325 Kenya 329 Madagascar 333 Mauritius 339 Uganda 349 Tanzania 355 Other country of Africa 359 Barbados 363 Canada 369 Dominica 371 United States 379 Nicaragua 391 Other American countries 402 China 408 India 419 Lebanon 429 Singapore 439 Yemen 440 Other Asian Countries 442 Belgium 459 Netherlands 477 Other European countries 999 Unknown Migration: Global Variables -- PERSON Duration of residence in district (years) <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 7-13 were asked of all usual residents.]</p> <p>10. How long has the respondent been living continuously in this district?</p> <div class="i1">Record 000 if less than 1 year. Record 999 if the residence has not changed since birth.<br /><br />Years_ _ _</div> <span class="em">P10: Duration of residence: How long has [the person] been living in district? </span> <br />If the person has spent less than one year in his/her current residence, write in the boxes "000" and move to next question. </p> <p>If the current residence has not changed since birth, record "999" and move to next question. </p> <p>If the current residence has changed and the person has spent there over one year, record in given boxes his/her real spent years and move to next question. </p> <p>Check to see that the person's age is consistent with duration of residence i.e. the person's age must always be greater or equal to duration of residence. Rwanda 2012: All persons This variable indicates the person's duration (years) in current residence. 00 Less than one year 01 1 year 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65+ 98 Since birth 99 Unknown Migration: Global Variables -- PERSON Religion <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 7-13 were asked of all usual residents.]</p> <p>11. What is the respondent's religion?</p> <div class="i1">[] 1 Catholic<br />[] 2 Protestant<br />[] 3 Adventist<br />[] 4 Muslim<br />[] 5 Jehovah Witness<br />[] 6 Traditional/ Animist<br />[] 7 No Religion<br />[] 8 Other ____</div> <span class="em">P11: Religion: What is [the person]'s religion? </span> <br />Religion is an affiliation with a group having specific religious or spiritual tenet. The code of the religion for each member of the household should be encircled by asking each member of the household. If is "Catholic", encircle code "1", if Muslim, encircle code "6" etc. </p> <p>The religion of a baby who was born from Christian parents and whose age is not reached to baptism so enumerator should encircle the code of his/her parents' religion.</p> <p>If the parents belong to different religions, it is necessary to ask the religion of each child. The responses are recorded without further discussion. When a person refuses to answer the question, it is not necessary to discuss but the enumerator encircle the code "7" [No religion].</p> <p>The choices of the religion codes are given below:</p> <div class="i1">1 - Roman Catholics: Those who believe in Catholic faith and recognize the Pope as the head of the Church.<br />2 - Protestants: Group of churches which broke away from the Roman Catholic Church e.g. Anglican Church, Presbyterian, Methodists and Baptists.<br />3 - Adventist: Seventh-day Adventist Christians distinguished chiefly for their observance to the Sabbath<br />4 - Muslim: Those who profess the Moslem faith arid recognize Muhammad as the prophet of God<br />5 - Jehovah Witnesses: Christian sect distinguished chiefly for its observance of the name of God "Jehovah" <br />6 - Traditional/Animist: Those who believe in natural divine powers like Lyangombe, Nyabingi, etc..<br />7 - Other religion: Include people with religious affiliations other than the above-mentioned, e.g. Buddhists, Bahais, Hindus etc<br />8 - No religion: These are people who do not believe in the existence of super natural powers neither do they follow any particular religion.</div> Rwanda 2012: All persons This variable indicates the person's religion. 1 Catholic 2 Protestant 3 Adventist 4 Muslim 5 Jehavah Witness 6 Traditional or Animist 7 Non religion 8 Other 9 Unknown Ethnicity and Language Variables -- PERSON Type of first major disability <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 7-13 were asked of all usual residents.]</p> <p>12. Does the respondent have any difficulty or problem as listed below? If yes, what were the causes?</p> <div class="i1">[Respondent can answer up to 5 disability/ cause pairs.]<br /><br />Type of disability _<br />Cause of disability _<br /><br />If none, write 0 in "Types of disability" and go to Question 13.</div><div class="i2">Types of disability</div><div class="i3">1. Seeing<br />2. Hearing<br />3. Speaking<br />4. Walking/ Climbing<br />5. Learning/ Concentrating<br />6. Other____</div><div class="i2">Causes of disability</div><div class="i3">1. Congenital<br />2. Disease/ Illness<br />3. Injury/ Accident<br />4. War/ Mines<br />5. Genocide<br />6. Now known<br />7. Other ____</div><p>[Table omitted.] <span class="em">P12: Type and cause of major disability </span> <br />Ask: Does [the person] have any difficulty or problem as listed below? If yes, what were the causes? </p> <p>A person is called disabled if during birth or after birth his/her body part or his/her mental is damaged, lack of body part or congenital malformation and fails to do activities that other persons who have no such problems could do.</p> <p>The possible disabilities and their causes are follows: </p> <div class="i1">Type of disability [D] <br />1 - Seeing <br />2 - Hearing <br />3 - Speaking <br />4 - Walking/Climbing <br />5 - Learning/Concentrating <br />6 - Other</div><div class="i1">Causes [C] <br />1 - Congenital <br />2 - Disease/Illness <br />3 - Injury/Accident<br />4 - War/Mines <br />5 - Genocide<br />6 - Not known <br />7 - Other</div> Rwanda 2012: All persons This variable indicates the person's first type of disability. 0 None 1 Seeing 2 Hearing 3 Speaking 4 Walking or climbing 5 Learning or concentrating 6 Other 9 Unknown Disability Variables -- PERSON Cause of first disability <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 7-13 were asked of all usual residents.]</p> <p>12. Does the respondent have any difficulty or problem as listed below? If yes, what were the causes?</p> <div class="i1">[Respondent can answer up to 5 disability/ cause pairs.]<br /><br />Type of disability _<br />Cause of disability _<br /><br />If none, write 0 in "Types of disability" and go to Question 13.</div><div class="i2">Types of disability</div><div class="i3">1. Seeing<br />2. Hearing<br />3. Speaking<br />4. Walking/ Climbing<br />5. Learning/ Concentrating<br />6. Other____</div><div class="i2">Causes of disability</div><div class="i3">1. Congenital<br />2. Disease/ Illness<br />3. Injury/ Accident<br />4. War/ Mines<br />5. Genocide<br />6. Now known<br />7. Other ____</div><p>[Table omitted.] <span class="em">P12: Type and cause of major disability </span> <br />Ask: Does [the person] have any difficulty or problem as listed below? If yes, what were the causes? </p> <p>A person is called disabled if during birth or after birth his/her body part or his/her mental is damaged, lack of body part or congenital malformation and fails to do activities that other persons who have no such problems could do.</p> <p>The possible disabilities and their causes are follows: </p> <div class="i1">Type of disability [D] <br />1 - Seeing <br />2 - Hearing <br />3 - Speaking <br />4 - Walking/Climbing <br />5 - Learning/Concentrating <br />6 - Other</div><div class="i1">Causes [C] <br />1 - Congenital <br />2 - Disease/Illness <br />3 - Injury/Accident<br />4 - War/Mines <br />5 - Genocide<br />6 - Not known <br />7 - Other</div> Rwanda 2012: Persons with a first disability [discrepancies: none] This variable indicates the cause of the person's first disability, if any. 1 Congenital 2 Disease or illness 3 Injury or accident 4 War or mines 5 Genocide 6 Other 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Type of second major disability <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 7-13 were asked of all usual residents.]</p> <p>12. Does the respondent have any difficulty or problem as listed below? If yes, what were the causes?</p> <div class="i1">[Respondent can answer up to 5 disability/ cause pairs.]<br /><br />Type of disability _<br />Cause of disability _<br /><br />If none, write 0 in "Types of disability" and go to Question 13.</div><div class="i2">Types of disability</div><div class="i3">1. Seeing<br />2. Hearing<br />3. Speaking<br />4. Walking/ Climbing<br />5. Learning/ Concentrating<br />6. Other____</div><div class="i2">Causes of disability</div><div class="i3">1. Congenital<br />2. Disease/ Illness<br />3. Injury/ Accident<br />4. War/ Mines<br />5. Genocide<br />6. Now known<br />7. Other ____</div><p>[Table omitted.] <span class="em">P12: Type and cause of major disability </span> <br />Ask: Does [the person] have any difficulty or problem as listed below? If yes, what were the causes? </p> <p>A person is called disabled if during birth or after birth his/her body part or his/her mental is damaged, lack of body part or congenital malformation and fails to do activities that other persons who have no such problems could do.</p> <p>The possible disabilities and their causes are follows: </p> <div class="i1">Type of disability [D] <br />1 - Seeing <br />2 - Hearing <br />3 - Speaking <br />4 - Walking/Climbing <br />5 - Learning/Concentrating <br />6 - Other</div><div class="i1">Causes [C] <br />1 - Congenital <br />2 - Disease/Illness <br />3 - Injury/Accident<br />4 - War/Mines <br />5 - Genocide<br />6 - Not known <br />7 - Other</div> Rwanda 2012: All persons This variable indicates the person's second type of disability. 0 None 1 Seeing 2 Hearing 3 Speaking 4 Walking or climbing 5 Learning or concentrating 6 Other 9 Unknown Disability Variables -- PERSON Cause of second disability <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 7-13 were asked of all usual residents.]</p> <p>12. Does the respondent have any difficulty or problem as listed below? If yes, what were the causes?</p> <div class="i1">[Respondent can answer up to 5 disability/ cause pairs.]<br /><br />Type of disability _<br />Cause of disability _<br /><br />If none, write 0 in "Types of disability" and go to Question 13.</div><div class="i2">Types of disability</div><div class="i3">1. Seeing<br />2. Hearing<br />3. Speaking<br />4. Walking/ Climbing<br />5. Learning/ Concentrating<br />6. Other____</div><div class="i2">Causes of disability</div><div class="i3">1. Congenital<br />2. Disease/ Illness<br />3. Injury/ Accident<br />4. War/ Mines<br />5. Genocide<br />6. Now known<br />7. Other ____</div><p>[Table omitted.] <span class="em">P12: Type and cause of major disability </span> <br />Ask: Does [the person] have any difficulty or problem as listed below? If yes, what were the causes? </p> <p>A person is called disabled if during birth or after birth his/her body part or his/her mental is damaged, lack of body part or congenital malformation and fails to do activities that other persons who have no such problems could do.</p> <p>The possible disabilities and their causes are follows: </p> <div class="i1">Type of disability [D] <br />1 - Seeing <br />2 - Hearing <br />3 - Speaking <br />4 - Walking/Climbing <br />5 - Learning/Concentrating <br />6 - Other</div><div class="i1">Causes [C] <br />1 - Congenital <br />2 - Disease/Illness <br />3 - Injury/Accident<br />4 - War/Mines <br />5 - Genocide<br />6 - Not known <br />7 - Other</div> Rwanda 2012: Persons with a second disability [discrepancies: none] This variable indicates the cause of the person's second disability, if any. 1 Congenital 2 Disease or illness 3 Injury or accident 4 War or mines 5 Genocide 6 Other 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Type of health insurance <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 7-13 were asked of all usual residents.]</p> <p>13. What is the respondent's medical insurance?</p> <div class="i1">[] 1 Mutuelle<br />[] 2 RAMA (Rwanda Health Insurance)<br />[] 3 MMI (Military Medical Insurance)<br />[] 4 FARG (Genocide Survivors Support and Assistance Fund)<br />[] 5 Insurance Company<br />[] 6 School<br />[] 7 NGO<br />[] 8 Employer<br />[] 9 None<br />[] 10 Other ____</div> <span class="em">P13: Health insurance </span> <br />Ask: What is [the person]'s medical insurance? </p> <p>Encircle the code number which matches the response given.</p> <div class="i1">1 - Mitiweli: Health Insurance <br /> 2 - RAMA: Health insurance of the agents and officials of the State <br /> 3 - MMI: Health insurance of the soldiers <br /> 4 - FARG: Assistance Fund for 1994 Genocide Survivors <br /> 5 - Insurance Cies: Health insurance covered by Insurance Company<br /> 6 - Schools<br /> 7 - NGOs: the non-governmental Organizations <br /> 8 - Employers <br /> 9 - None <br /> 10 - Other</div><p>Example: <br />If Mitiweli, encircle code "1" <br />If RAMA, encircle code "2" <br />If FARG, encircle code "4" Rwanda 2012: All persons This variable indicates the person's medical insurance. 00 None 01 Mutuelle (community based health insurance) 02 Rwanda Health Insurance (RAMA) 03 Military Medical Insurance (MMI) 04 Genocide Survivors Support and Assistance Fund (FARG) 05 Insurance company 06 School 07 NGO 08 Employer 09 Other 99 Unknown Other Person Variables -- PERSON Biological mother alive <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 14-15 were asked of residents less than 18 years old.]</p> <p><span class="em">14. Parental survival and residence </span></p> <p>14a. Is the respondent's natural mother alive?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div> <span class="em">P14 and P15: For residents less than 18 years old </span></p> <p><span class="em">P14: Parental survivorship and residence </span> <br />Ask: Is [the person]'s natural mother alive? If yes, does [the person]'s natural mother live in this household? Is [the person]'s natural father alive? If yes, does [the person]'s natural father live in this household? </p> <p>Encircle the code number which matches the response given.</p> <div class="i1">If yes, encircle code "1" <br />If no, encircle code "2"<br />If doesn't know, encircle code "3"</div><p>Note that at times destitute children are brought up or adopted at a very young age by relatives. Such foster parents should not be considered as the biological parents of the respondent. Please always probe to establish the reality of the situation. Rwanda 2012: Persons less than age 18 [discrepancies: none] This variable indicates whether the person's biological mother is alive. 1 Yes 2 No 3 Respondent did not know 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Biological mother live in household <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 14-15 were asked of residents less than 18 years old.]</p> <p><span class="em">14. Parental survival and residence </span></p> <p>14a. Is the respondent's natural mother alive?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><p>14b. If yes (from 14a), does the respondent's natural mother live in this household?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="em">P14 and P15: For residents less than 18 years old </span></p> <p><span class="em">P14: Parental survivorship and residence </span> <br />Ask: Is [the person]'s natural mother alive? If yes, does [the person]'s natural mother live in this household? Is [the person]'s natural father alive? If yes, does [the person]'s natural father live in this household? </p> <p>Encircle the code number which matches the response given.</p> <div class="i1">If yes, encircle code "1" <br />If no, encircle code "2"<br />If doesn't know, encircle code "3"</div><p>Note that at times destitute children are brought up or adopted at a very young age by relatives. Such foster parents should not be considered as the biological parents of the respondent. Please always probe to establish the reality of the situation. Rwanda 2012: Persons age less than age 18 with mother alive [discrepancies: none] This variable indicates whether the person's biological mother is living in the household. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Biological father alive <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 14-15 were asked of residents less than 18 years old.]</p> <p><span class="em">14. Parental survival and residence </span></p> <p>14c. Is the respondent's natural father alive?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div> <span class="em">P14 and P15: For residents less than 18 years old </span></p> <p><span class="em">P14: Parental survivorship and residence </span> <br />Ask: Is [the person]'s natural mother alive? If yes, does [the person]'s natural mother live in this household? Is [the person]'s natural father alive? If yes, does [the person]'s natural father live in this household? </p> <p>Encircle the code number which matches the response given.</p> <div class="i1">If yes, encircle code "1" <br />If no, encircle code "2"<br />If doesn't know, encircle code "3"</div><p>Note that at times destitute children are brought up or adopted at a very young age by relatives. Such foster parents should not be considered as the biological parents of the respondent. Please always probe to establish the reality of the situation. Rwanda 2012: Persons less than age 18 [discrepancies: none] This variable indicates whether the person's biological father is alive. 1 Yes 2 No 3 Respondent did not know 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Biological father live in household <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 14-15 were asked of residents less than 18 years old.]</p> <p><span class="em">14. Parental survival and residence </span></p> <p>14c. Is the respondent's natural father alive?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><p>14d. If yes (from 14c), does the respondent's natural father live in this household?</p> <div class="i1">[] 1 Yes<br />[] 2 No</div> <span class="em">P14 and P15: For residents less than 18 years old </span></p> <p><span class="em">P14: Parental survivorship and residence </span> <br />Ask: Is [the person]'s natural mother alive? If yes, does [the person]'s natural mother live in this household? Is [the person]'s natural father alive? If yes, does [the person]'s natural father live in this household? </p> <p>Encircle the code number which matches the response given.</p> <div class="i1">If yes, encircle code "1" <br />If no, encircle code "2"<br />If doesn't know, encircle code "3"</div><p>Note that at times destitute children are brought up or adopted at a very young age by relatives. Such foster parents should not be considered as the biological parents of the respondent. Please always probe to establish the reality of the situation. Rwanda 2012: Persons less than age 18 with father alive [discrepancies: none] This variable indicates whether the person's biological father is living in the household. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Birth registration <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 14-15 were asked of residents less than 18 years old.]</p> <p><span class="em">14. Parental survival and residence </span></p> <p>15. Was the respondent's birth registered?</p> <div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div> <span class="em">P14 and P15: For residents less than 18 years old </span></p> <p><span class="em">P15: Birth registration </span> <br />Ask: Was [the person]'s birth registered? </p> <p>Encircle the code number which matches the response given. </p> <div class="i1">If yes, encircle code "1" <br />If no, encircle code "2"<br />If don't know, encircle code "3"</div><p>Note: Enumerator has to explain to respondent where the birth registration office is, such as at district office during the past years, but this moment the birth registration is done at Sector office. Rwanda 2012: Persons less than age 18 [discrepancies: none] This variable indicates whether the person birth is registered (birth certificate). 1 Yes 2 No 3 Respondent did not know 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Literacy (languages) <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 16-19 were asked for residents aged 3 years or older.]</p> <p>16. Can the respondent read and write with understating in the following languages?</p> <div class="i1">Circle all that apply.<br /><br />[] 1 Kinyarwanda<br />[] 2 French<br />[] 4 English<br />[] 8 Other<br />[] 0 None</div> <span class="em">P16 to P19: For residents aged 3 years or older </span></p> <p><span class="em">P16: Reading and writing [literacy] </span> <br />Ask: Can [the person] read, write and understand in the following languages? </p> <p>Encircle the code number accordingly to the language he/she can read, write and understand. If he/she can read, write and understand one language, encircle the code number of it.</p> <div class="i1">1 - Kinyarwanda<br />2 - French<br />4 - English<br />8 - Other<br />0 - None</div><p>If he/she can read, write and understand many languages, encircle the code numbers of them. Then record the sum of the codes circled responses in provided boxes. <br />[Example omitted] Rwanda 2012: Persons age 3+ [discrepancies: none] This variable indicates the languages in which the person can read and write. 00 None 01 Kinyarwanda 02 French 03 Kinyarwanda and French 04 English 05 Kinyarwanda and English 06 French and English 07 Kinyarwanda, French and English 08 Other 09 Kinyarwanda and other 10 French and other 11 Kinyarwanda, French and other 12 English and other 13 Kinyarwanda, English and other 14 French, English and other 15 Kinyarwanda, French, English and other 98 Unknown 99 NIU (not in universe) Ethnicity and Language Variables -- PERSON School attendance <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 16-19 were asked for residents aged 3 years or older.]</p> <p>17. Has the respondent ever attended school?</p> <div class="i1">[] 1 Has never attended [Go to Question 20.]<br />[] 2 Has ever attended<br />[] 3 Is currently attending school</div> <span class="em">P16 to P19: For residents aged 3 years or older </span></p> <p><span class="em">P17: School attendance </span> <br />Ask: Has [the person] ever attended preschool, school or literacy program?</p> <p>It seeks to ascertain whether the person is attending school, has attended or never attended school.</p> <div class="i1">1 - Has never attended - P20 <br />2 - Has ever attended <br />3 - Is currently attending school</div><p>Encircle the code number which matches the response given.</p> <p><span class="em">[1] For private household questionnaire </span> <br />If the response is "Has never attended", encircle code "1", then go to P20. <br />If the response is "Has ever attended" encircle code "2", then go to next question. <br />If the response is "Is currently attending school", encircle code "3", and then go to next question.</p> <p><span class="em">[2] For institutional household questionnaire </span> <br />If the response is "Has never attended", encircle code "1", then go to P29 <br />If the response is "Has ever attended" encircle code "2", then go to next question. <br />If the response is "Is currently attending school", encircle code "3" and then go to next question. Rwanda 2012: Persons age 3+ [discrepancies: none] This variable indicates whether the person ever attended school. 1 No, has never attended 2 Yes, has ever attended 3 Yes, is currently attending school 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Highest education level completed <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 16-19 were asked for residents aged 3 years or older.]</p> <p>[Questions 18- 19 were asked only to respondents who have attended or are currently attending school.]</p> <p>18a. What is the highest level of education the respondent attended?</p> <div class="i1">[] 0 Preschool<br />[] 1 Primary<br />[] 2 Post Primary<br />[] 3 Secondary<br />[] 4 University</div><p>18b. How many years of school did the respondent complete successfully at the highest level?</p> <div class="i1">Preschool</div><div class="i2">[] 0<br />[] 1<br />[] 2<br />[] 3</div><div class="i1">Primary</div><div class="i2">[] 0<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6</div><div class="i1">Post primary</div><div class="i2">[] 0<br />[] 1<br />[] 2<br />[] 3</div><div class="i1">Secondary</div><div class="i2">[] 0<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7</div><div class="i1">University</div><div class="i2">[] 0<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7+</div> <span class="em">P16 to P19: For residents aged 3 years or older </span></p> <p><span class="em">P18a: Educational level attained </span> <br />Ask: What is the highest level of school or literacy program [the person] attended? </p> <p><span class="em">[1] For private household questionnaire </span> <br />Encircle the code number which matches the level accordingly to response given. <br />Example: if he/she is studying or has studied until year six in primary level, encircle code "1". </p> <p><span class="em">[2] For institutional household questionnaire </span> <br />Enumerator is not allowed to encircle the code number which matches the level of schools attended accordingly to response given. One box was given; write code number of the school or literacy program level attended. </p> <p>Example: if he/she is studying or has studied until year six in primary level, write code "1".</p> <p><span class="em">P18b: Years completed </span> <br />How many years of school did [the person] complete [successfully] at that level? </p> <p><span class="em">[1] For private household questionnaire </span> <br />Encircle the code numbers which match the years completed [successfully] accordingly to response given</p> <p>Example: <br />If he/she is studying or has studied until year six in primary level, encircle code "5". <br />If he/she is studying or has studied until year one in primary level, encircle code "0". </p> <p><span class="em">[2] For institutional household questionnaire </span> <br />Enumerator is not allowed to encircle the code number which matches the years completed accordingly to response given. Write the code number of the years completed in box provided.</p> <p>Example: if he/she is studying or has studied until year six in primary level, write code number of the years completed in box provided as declared by the respondent as follows "5".</p> <p>If he/she is studying or has studied until year one in primary level, encircle code "0". Rwanda 2012: Persons age 3+ who attended or are attending school [discrepancies: none] This variable indicates the person's highest level of education completed. 000 Preschool, 0 years 001 Preschool, 1 year 002 Preschool, 2 years 003 Preschool, 3 years 100 Primary, 0 years 101 Primary, 1 year 102 Primary, 2 years 103 Primary, 3 years 104 Primary, 4 years 105 Primary, 5 years 106 Primary, 6 years 109 Primary, unknown years 200 Post- primary, 0 years 201 Post-primary, 1 year 202 Post-primary, 2 years 203 Post-primary, 3 years 209 Post-primary, unknown years 300 Secondary, 0 years 301 Secondary, 1 year 302 Secondary, 2 years 303 Secondary, 3 years 304 Secondary, 4 years 305 Secondary, 5 years 306 Secondary, 6 years 307 Secondary, 7 years 309 Secondary, unknown years 400 University, 0 years 401 University, 1 year 402 University, 2 years 403 University, 3 years 404 University, 4 years 405 University, 5 years 406 University, 6 years 407 University, 7 years 409 University, unknown years 998 Unknown 999 NIU (not in universe) Education Variables -- PERSON Education level attended <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 16-19 were asked for residents aged 3 years or older.]</p> <p>[Questions 18- 19 were asked only to respondents who have attended or are currently attending school.]</p> <p>18a. What is the highest level of education the respondent attended?</p> <div class="i1">[] 0 Preschool<br />[] 1 Primary<br />[] 2 Post Primary<br />[] 3 Secondary<br />[] 4 University</div> <span class="em">P16 to P19: For residents aged 3 years or older </span></p> <p><span class="em">P18a: Educational level attained </span> <br />Ask: What is the highest level of school or literacy program [the person] attended? </p> <p><span class="em">[1] For private household questionnaire </span> <br />Encircle the code number which matches the level accordingly to response given. <br />Example: if he/she is studying or has studied until year six in primary level, encircle code "1". </p> <p><span class="em">[2] For institutional household questionnaire </span> <br />Enumerator is not allowed to encircle the code number which matches the level of schools attended accordingly to response given. One box was given; write code number of the school or literacy program level attended. </p> <p>Example: if he/she is studying or has studied until year six in primary level, write code "1". Rwanda 2012: Persons age 3+ who attended or are attending school [discrepancies: none] This variable indicates the person's highest level of education attended. 0 Preschool 1 Primary 2 Post primary 3 Secondary 4 Univeristy 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Years completed within level <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 16-19 were asked for residents aged 3 years or older.]</p> <p>[Questions 18- 19 were asked only to respondents who have attended or are currently attending school.]</p> <p>18b. How many years of school did the respondent complete successfully at the highest level?</p> <div class="i1">Preschool</div><div class="i2">[] 0<br />[] 1<br />[] 2<br />[] 3</div><div class="i1">Primary</div><div class="i2">[] 0<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6</div><div class="i1">Post primary</div><div class="i2">[] 0<br />[] 1<br />[] 2<br />[] 3</div><div class="i1">Secondary</div><div class="i2">[] 0<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7</div><div class="i1">University</div><div class="i2">[] 0<br />[] 1<br />[] 2<br />[] 3<br />[] 4<br />[] 5<br />[] 6<br />[] 7+</div> <span class="em">P16 to P19: For residents aged 3 years or older </span></p> <p><span class="em">P18b: Years completed </span> <br />How many years of school did [the person] complete [successfully] at that level? </p> <p><span class="em">[1] For private household questionnaire </span> <br />Encircle the code numbers which match the years completed [successfully] accordingly to response given</p> <p>Example: <br />If he/she is studying or has studied until year six in primary level, encircle code "5". <br />If he/she is studying or has studied until year one in primary level, encircle code "0". </p> <p><span class="em">[2] For institutional household questionnaire </span> <br />Enumerator is not allowed to encircle the code number which matches the years completed accordingly to response given. Write the code number of the years completed in box provided.</p> <p>Example: if he/she is studying or has studied until year six in primary level, write code number of the years completed in box provided as declared by the respondent as follows "5".</p> <p>If he/she is studying or has studied until year one in primary level, encircle code "0". Rwanda 2012: Persons age 3+ who attended or are attending school [discrepancies: none] This variable indicates the person's completed years of education at the highest level. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Highest certificate or diploma <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 16-19 were asked for residents aged 3 years or older.]</p> <p>[Questions 18- 19 were asked only to respondents who have attended or are currently attending school.]</p> <p>19. What is the highest certificate/degree the respondent obtained?</p> <div class="i1">[] 0 None<br />[] 1 CE/FM<br />[] 2 EMA/ENTA<br />[] 3 A3/ D4/ D5<br />[] 4 A2/ D6/ D7<br />[] 5 A1: Bacc/ Diploma<br />[] 6 A0: Bachelor<br />[] 7 MA: Master<br />[] 8 PhD: Doctorate</div> <span class="em">P16 to P19: For residents aged 3 years or older </span></p> <p><span class="em">P19: Highest certificate or degree obtained </span> <br />Ask: What is the highest certificate/degree [the person] obtained? </p> <p>The degrees concerned here are those which are awarded from secondary level or high institutions of education. Encircle the code number which corresponds to the response given by the respondent:</p> <p>If none, encircle code "0" <br />If bachelor's degree or equivalent [A0], encircle code "6" <br />If masters, encircle code "7" etc. Rwanda 2012: Persons age 3+ who attended or are attending school [discrepancies: none] This variable indicates the person's highest certificate or diploma attained. 00 None 01 Three years of post-primary education (CE/FM) 02 Completed 2 (EMA) or 5 years (ENTA) of secondary education 03 Completed 3, 4, or 5 years of secondary school (A3, D4, D5) 04 Completed 6 or 7 years of secondary school (A2,D6, or D7) 05 A1 Baccalaureate or diploma 06 A0 Bachelor 07 Master (MA) 08 Doctorate (PhD) 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Worked at least one hour (previous week) <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 20-28 were asked of residents aged 5 years or older.]</p> <p>20. Aside from his/her own housework, did the respondent work at least 1 hour during the last 7 days preceding the census night (August 8-14, 2012)?</p> <div class="i1">[] 1 Yes [Go to Question 25.]<br />[] 2 No</div> <span class="em">P20 to P24: For residents aged 5 years or older </span></p> <p><span class="em">P20: Work done </span> <br />Ask: Aside from his/her own housework, did [the person] work at least 1 hour during the last 7 days preceding the census night [8-14/08/2012] </p> <p>Encircle the code number which matches the response given. <br />If yes, encircle code "1" then go to P25 <br />If no, encircle code "2"; continue to next question P21</p> <p>Note: the work mentioned here, is work which is productive. Rwanda 2012: Persons age 5+ [discrepancies: none] This variable indicates whether the person worked at least one hour in the previous week. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Reason not working in previous week <span class="h2">Section P: Characteristics of population </span></p> <p>21. Why did the respondent not work during the last 7 days (August 8-14, 2012)?</p> <div class="i1">[Question 21 was asked of residents aged 5 years or older that have not worked at least 1 hour during the last 7 days preceding the census night.]<br /><br />[] 0 Home worker<br />[] 1 Non-worker (never worked)<br />[] 2 Non-worker (ever worked)<br />[] 3 On leave, but has job [Go to Question 25.]<br />[] 4 Retired [Go to Question 23.]<br />[] 5 Old age [Go to Question 23.]<br />[] 6 Student [Go to Question 23.]<br />[] 7 Other ____</div> <span class="em">P20 to P24: For residents aged 5 years or older </span></p> <p><span class="em">P21: Reason of not working</span></p> <p>Ask: Why [the person] did not work during the last 7 days [8-14/08/2012]? <br />Encircle the code number which matches the response given. </p> <div class="i1">0 - Home worker <br />1 - Non-worker [never worked] <br />2 - Non-worker [ever worked] <br />3 - On leave, but has job <br />4 - Retired<br />5 - Student<br />6 - Other [specify]</div><p>Note: If the response is "On leave, but has job", encircle code "3" then go to P25. If the response is "0, 1 or 2", encircle code number corresponding to response given, and continue to P22. If the response is "4, 5 or 6", encircle code number corresponding to response given, and continue to P23. Rwanda 2012: Persons age 5+ who did not work [discrepancies: none] This variable indicates the reason person did not work in the previous week. 0 Home worker 1 Non-worker, never worked 2 Non-worker, ever worked 3 On leave, but has job 4 Retired 5 Old age 6 Student 7 Other 9 NIU (not in universe) Work Variables -- PERSON Work done in previous week <span class="h2">Section P: Characteristics of population </span></p> <p>22. Did the respondent do one of the following activities during the last 7 days (August 8-14, 2012)?</p> <div class="i1">[Question 22 was asked of residents aged 5 years or older who did not work least 1 hour during the last 7 days preceding the census night because they were a home worker or a non- worker (as indicated in Question 21).]<br /><br />[] 1 Farming/ rearing animals/ fishing [Go to Question 25.]<br />[] 2 Production [Go to Question 25.]<br />[] 3 Service/selling [Go to Question 25.]<br />[] 4 House work at someone's house [Go to Question 25.]<br />[] 5 Home worker at own home<br />[] 6 None</div> <span class="em">P20 to P24: For residents aged 5 years or older </span></p> <p><span class="em">P22: If had worked </span> <br />Ask: Did [the person] do one of the following activities during the last 7 days [8-14/08/2012]? <br />Encircle the code number which matches the response given. </p> <div class="i1">1 - Farming/Rearing animals/Fishing <br />2 - Production <br />3 - Services/Selling <br />4 - House worker at someone's house <br />5 - Home worker at own house <br />6 - None</div><p>If the response is one of the following"1, 2, 3 or 4", encircle code number corresponding to response given, and continue to P25. Rwanda 2012: Persons age 5+ who are non-workers or home workers [discrepancies: none] This variable indicates the type of work done by the person in the previous week. 0 None 1 Farming, rearing animals, or fishing 2 Production 3 Services or selling 4 House worker at someones house 5 House worker at own house 9 NIU (not in universe) Work Variables -- PERSON Ready to work <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 23- 24 were asked of residents aged 5 years or older who did not work least 1 hour during the last 7 days preceding the census night because due to being retire, old age, or being a student.]</p> <p>23. Is the respondent available to work?</p> <div class="i1">[] 1 Yes<br />[] 2 No [Go to Question 29.]</div> <span class="em">P20 to P24: For residents aged 5 years or older </span></p> <p><span class="em">P23: Available to work</span> <br />Ask: Is [the person] available to work? <br />If yes, encircle code "1" continue to next question P24 <br />If no, encircle code "2"; then go to P29 Rwanda 2012: Persons age 5+ who did not work or were house workers [discrepancies: none] This variable indicates whether the person is available to work. 1 Yes 2 No 9 NIU (not in universe) Work Variables -- PERSON Seeking work <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 23- 24 were asked of residents aged 5 years or older who did not work least 1 hour during the last 7 days preceding the census night because due to being retire, old age, or being a student.]</p> <p>24. Has the respondent been seeking work during the last 7 days (August 8-14, 2012)?</p> <div class="i1">[] 0 No<br />[] 1 Yes, first job<br />[] 2 yes, new job</div> <span class="em">P20 to P24: For residents aged 5 years or older </span></p> <p><span class="em">P24: Seeking for work</span> <br />Ask: Has [the person] been seeking for work during the last 7 days (8-14/08/2011)? <br />If the response is No or Yes 1st Job "0 or 1", encircle code number corresponding to response given, and continue to P29 <br />If yes new job, encircle code "2" continue to next question P25 Rwanda 2012: Persons age 5+ unemployed and available to work [discrepancies: none] This variable indicates whether the person is seeking work. 0 No 1 Yes, first job 2 Yes, new job 9 NIU (not in universe) Work Variables -- PERSON Occupation (3-digit) <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 25-28 were asked for residents aged 5 and over who are currently working or have ever worked (as indicated in questions 20-22 above).]</p> <p>25. What was the respondent's main occupation (type of work) during the last 7 days preceding the census night or during the last time he/she worked?</p> <div class="i1">Occupation ____</div> <span class="em">P25 to P28: For residents who have ever worked or are currently working </span></p> <p><span class="em">P25: Main occupation [type of work] </span> <br />Ask: What was [the person]'s main occupation during the last 7 days preceding the census night or during the last 12 months he/she worked? </p> <p>The question concerns those who have engaged in economic activity for the last 7 days preceding the census night. </p> <p>Type of work that the person performed in seven days before the census refers to occupation or the job title. Write down the current job title of the person, using two or three words.</p> <p>Example: primary school teacher, private gardener, cattle farmer, domestic worker, bus driver, communication technician, principal statistician, office cleaner, etc.</p> <p>Note: Do not accept only "teacher", "driver", and "technician". Use two or three words for the description, otherwise it will be difficult to know what type of work people are doing. Rwanda 2012: Persons age 5+ who are working or the experienced unemployed [discrepancies: type I none; type II 0.8%] This variable indicates the person's main occupation (ISCO 3-digit). 111 Legislators and senior officials 112 Managing directors and chief executives 121 Business services and administration managers 122 Sales, marketing and development managers 131 Production managers in agriculture, forestry and fisheries 132 Manufacturing, mining, construction, and distribution managers 134 Professional services managers 141 Hotel and restaurant managers 199 Managers, not elsewhere classified 211 Physical and earth science professionals 212 Mathematicians, actuaries and statisticians 213 Life science professionals 214 Engineering professionals (excluding electrotechnology) 216 Architects, planners, surveyors and designers 221 Medical doctors 222 Nursing and midwifery professionals 223 Traditional and complementary medicine professionals 225 Veterinarians 226 Other health professionals 231 University and higher education teachers 232 Vocational education teachers 233 Secondary education teachers 234 Primary school and early childhood teachers 235 Other teaching professionals 241 Finance professionals 242 Administration professionals 243 Sales, marketing and public relations professionals 261 Legal professionals 262 Librarians, archivists and curators 263 Social and religious professionals 264 Authors, journalists and linguists 265 Creative and performing artists 299 Professionals, not elsewhere classified 311 Physical and engineering science technicians 312 Mining, manufacturing and construction supervisors 313 Process control technicians 314 Life science technicians and related associate professionals 315 Ship and aircraft controllers and technicians 321 Medical and pharmaceutical technicians 322 Nursing and midwifery associate professionals 323 Traditional and complementary medicine associate professionals 324 Veterinary technicians and assistants 325 Other health associate professionals 331 Financial and mathematical associate professionals 332 Sales and purchasing agents and brokers 333 Business services agents 334 Administrative and specialised secretaries 335 Regulatory government associate professionals 341 Legal, social and religious associate professionals 342 Sports and fitness workers 343 Artistic, cultural and culinary associate professionals 351 Information and communications technology operations and user support technicians 352 Telecommunications and broadcasting technicians 411 General office clerks 412 Secretaries (general) 413 Keyboard operators 421 Tellers, money collectors and related clerks 422 Client information workers 431 Numerical clerks 432 Material-recording and transport clerks 441 Other clerical support workers 511 Travel attendants, conductors and guides 512 Cooks 513 Waiters and bartenders 514 Hairdressers, beauticians and related workers 515 Building and housekeeping supervisors 516 Other personal services workers 521 Street and market salespersons 522 Shop salespersons 523 Cashiers and ticket clerks 524 Other sales workers 531 Child care workers and teachers' aides 532 Personal care workers in health services 541 Protective services workers 611 Market gardeners and crop growers 612 Animal producers 613 Mixed crop and animal producers 621 Forestry and related workers 622 Fishery workers, hunters and trappers 631 Subsistence crop farmers 632 Subsistence livestock farmers 633 Subsistence mixed crop and livestock farmers 634 Subsistence fishers, hunters, trappers and gatherers 711 Building frame and related trades workers 712 Building finishers and related trades workers 713 Painters, building structure cleaners and related trades workers 721 Sheet and structural metal workers, moulders and welders, and related workers 722 Blacksmiths, toolmakers and related trades workers 723 Machinery mechanics and repairers 731 Handicraft workers 732 Printing trades workers 741 Electrical equipment installers and repairers 742 Electronics and telecommunications installers and repairers 751 Food processing and related trades workers 752 Wood treaters, cabinet-makers and related trades workers 753 Garment and related trades workers 754 Other craft and related workers 811 Mining and mineral processing plant operators 815 Textile, fur and leather products machine operators 816 Food and related products machine operators 821 Assemblers 832 Car, van and motorcycle drivers 833 Heavy truck and bus drivers 834 Mobile plant operators 899 Plant and machine operators, and assemblers, not elsewhere classified 911 Domestic, hotel and office cleaners and helpers 912 Vehicle, window, laundry and other hand cleaning workers 921 Agricultural, forestry and fishery labourers 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport and storage labourers 941 Food preparation assistants 951 Street and related service workers 952 Street vendors (excluding food) 961 Refuse workers 962 Other elementary workers 998 Unknown 999 NIU (not in universe) Work: Occupation Variables -- PERSON Status in employment <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 25-28 were asked for residents aged 5 and over who are currently working or have ever worked (as indicated in questions 20-22 above).]</p> <p>26. What is the respondent's status in employment?</p> <div class="i1">[] 1 Employee<br />[] 2 Employer<br />[] 3 Self-employed<br />[] 4 contributing family worker<br />[] 5 Producers' cooperative member<br />[] 6 Other</div> <span class="em">P25 to P28: For residents who have ever worked or are currently working </span></p> <p><span class="em">P26: Employment status</span> <br />Ask: What is [the person]'s status in employment? <br />Encircle code number corresponding to response given.</p> <p>1 - Employee <br />This category includes those who, for the last 7 days have worked on permanent basis and paid continually on a monthly, weekly, daily, or hourly basis, and were paid from government, parastatal, private employer, NGO, non-profitable organizations such as churches, etc.</p> <p>This category also includes those who, for the last 7 days have worked on contract basis and paid continually on a monthly, weekly, daily, or hourly basis, and were paid from government, parastatal, private employer, NGO, non-profitable organizations such as churches, etc.</p> <p>2 - Employer <br />This is a person who, working on his or her own economic account/enterprise or engaged independently in a profession or trade with one or few partners, and hires on a continuous basis [including the reference period] one or more persons to work for him/her as employees.</p> <p>3 - Self-employed <br />These are own-account workers who operate their own economic enterprise or engage independently in a profession or trade. The remuneration is directly dependent upon the profits derived from the goods and services produced. They worked a productive activity for the last 7 days in their enterprise. </p> <p>4 - Contributing family worker <br /> Those members of household who worked without pay for families during the reference period.</p> <p>5 - Producers' cooperative member <br />This person is one of the cooperative members and had worked for a cooperative in 7 days before census night. </p> <p>6 - Other <br />All other persons not falling into any of the above categories. </p> <p>If employee, encircle code "1" <br />If employer, encircle code "2" <br />If cooperative members, encircle code "5" etc. Rwanda 2012: Persons age 5+ who are working or seeking work [discrepancies: none] This variable indicates the person's employment status. 1 Employee 2 Employer 3 Self-employed 4 Contributing family worker 5 Producers cooperative member 6 Other 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Industry (3-digit) <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 25-28 were asked for residents aged 5 and over who are currently working or have ever worked (as indicated in questions 20-22 above).]</p> <p>27. What is the main product, service, or activity of the respondent's place of work?</p> <div class="i1">Product/ service/activity ____</div> <span class="em">P25 to P28: For residents who have ever worked or are currently working </span></p> <p><span class="em">P27: Branch of economic activity </span> <br />Ask: What is the main product, service or activity of [the person]'s place of work? </p> <p>This question concerns people aged at least 5 years who have a job or who have worked, that means those who responded to P23 by encircling 1 [Yes]. </p> <p>The enumerator writes the main activity of the establishment or industry where the person works.</p> <p>Examples of activities and industries most common in Rwanda. <br />1 - Agriculture and livestock</p> <div class="i1">General Agriculture Apiculture<br />Breeding Fishing hunting<br />Other forestry</div><p>2 - Extraction of minerals and gems</p> <div class="i1">Gold<br />Wolfram<br />Cassiterite<br />Columbite-tantalite [coltan] <br />Other</div><p>3 - Mills </p> <div class="i1">Woodworking [sawing and planning of wood]<br />Carpentry<br />Bakery<br />Oils and fats<br />Preparing tea<br />Knitting and weaving<br />Ceramics Printing<br />Forge and other</div><p>4 - Electricity, gas and water</p> <div class="i1">Production, electricity production from gas<br />Production and distribution of water<br /> Other</div><p>5 - Construction and public works</p> <div class="i1">Construction of roads, bridges and roads <br />Construction of houses<br />Other water pipes</div><p>6 - Trade, restaurants and hotels</p> <div class="i1">Trade in food, shops Markets<br />Petrol stations [gas stations], Restaurants<br />Bars and taverns and other</div><p>7 - Transporting people and goods, warehouses, telecommunications.</p> <div class="i1">Road transport-lease vehicles Freight Transportation<br />Warehouse for goods <br />Other [taxis ...]</div><p>8 - Banks, insurance</p> <div class="i1">Banks<br />Social Insurance Fund Home Insurance<br />Other companies in the banking operations</div><p>9 - Community service</p> <div class="i1">Public Service and Administration<br />Education<br />Armed Forces<br />Shoemaking<br />Repairing electrical equipment<br />Repair vehicles, motorcycles and bicycles<br />Hairdressing salon<br />Photography<br />Housework<br />Activities and services for the disabled<br />Faiths<br />Other hospitals.</div> Rwanda 2012: Persons age 5+ who are working or seeking work [discrepancies: type I none; type II 0.9%] This variable indicates the person's industry (ISIC 3-digit) of work. 011 Growing of non-perennial crops 012 Growing of perennial crops 014 Animal production 015 Mixed farming 016 Support activities to agriculture and post-harvest crop activities 021 Silviculture and other forestry activities 022 Logging 031 Fishing 039 Agriculture, forestry, and fishing, not elsewhere classified 081 Quarrying of stone, sand and clay 089 Mining and quarrying not elsewhere classified 101 Processing and preserving of meat 103 Processing and preserving of fruit and vegetables 105 Manufacture of dairy products 106 Manufacture of grain mill products, starches and starch products 107 Manufacture of other food products 110 Manufacture of beverages 131 Spinning, weaving and finishing of textiles 132 Manufacture of textiles, not elsewhere classified 143 Raising of camels and camelids 151 Tanning and dressing of leather; manufacture of luggage, handbags, saddlery and harness; dressing and dyeing of fur 152 Manufacture of footwear 161 Support activities for crop production 162 Support activities for animal production 170 Hunting, trapping and related service activities 181 Printing and service activities related to printing 202 Manufacture of other chemical products 239 Manufacture of non-metallic mineral products not elsewhere classified 251 Manufacture of structural metal products, tanks, reservoirs and steam generators 259 Manufacture of other fabricated metal products; metalworking service activities 301 Building of ships and boats 310 Manufacture of furniture 321 Marine aquaculture 331 Repair of fabricated metal products, machinery and equipment 339 Other manufacturing not elsewhere classified 350 Electricity, gas, steam and air conditioning supply 360 Water supply; sewerage, waste management and remediation activities 410 Construction of buildings 421 Construction of roads and railways 422 Construction of utility projects 429 Construction of other civil engineering projects 432 Electrical, plumbing and other construction installation activities 433 Building completion and finishing 439 Construction, not elsewhere classified 451 Sale of motor vehicles 452 Maintenance and repair of motor vehicles 453 Sale of motor vehicle parts and accessories 454 Sale, maintenance and repair of motorcycles and related parts and accessories 462 Wholesale of agricultural raw materials and live animals 463 Wholesale of food, beverages and tobacco 464 Wholesale of household goods 465 Wholesale of machinery, equipment and supplies 466 Other specialized wholesale 469 Non-specialized wholesale trade 471 Retail sale in non-specialized stores 472 Retail sale of food, beverages and tobacco in specialized stores 473 Retail sale of automotive fuel in specialized stores 474 Retail sale of information and communications equipment in specialized stores 475 Retail sale of other household equipment in specialized stores 476 Retail sale of cultural and recreation goods in specialized stores 477 Retail sale of other goods in specialized stores 478 Retail sale via stalls and markets 479 Retail trade not in stores, stalls or markets 492 Other land transport 511 Passenger air transport 522 Support activities for transportation 549 Transportation and storage, not elsewhere classified 550 Accomodation 561 Restaurants and mobile food service activities 562 Event catering and other food service activities 563 Beverage serving activities 581 Publishing of books, periodicals and other publishing activities 601 Radio broadcasting 611 Wired telecommunications activities 613 Satellite telecommunications activities 619 Other telecommunications activities 620 Extraction of natural gas 632 Information service activities, not elsewhere classified 639 Information and communication, not elsewhere classified 641 Monetary intermediation 649 Other financial service activities, except insurance and pension funding activities 651 Insurance 661 Activities auxiliary to financial service activities, except insurance and pension funding 679 Financial and insurance activities, not elsewhere classified 691 Legal activities 692 Accounting, bookkeeping and auditing activities; tax consultancy 701 Activities of head offices 702 Management consultancy activities 721 Mining of uranium and thorium ores 731 Advertising 741 Specialized design activities 742 Photographic activities 749 Other professional, scientific and technical activities not elsewhere classified 750 Veterinary activities 769 Professional, scientific and technical activities, not elsewhere classified 791 Travel agency and tour operator activities 801 Private security activities 802 Security systems service activities 811 Combined facilities support activities 812 Cleaning activities 813 Landscape care and maintenance service activities 821 Office administrative and support activities 822 Activities of call centres 839 Administrative and support service activities, not elsewhere classified 841 Administration of the State and the economic and social policy of the community 842 Provision of services to the community as a whole 851 Pre-primary and primary education 852 Secondary education 853 Higher education 854 Other education 855 Educational support activities 861 Hospital activities 862 Medical and dental practice activities 869 Other human health activities 879 Other residential care activities 899 Human health and social work activities, not elsewhere classified 900 Creative, arts and entertainment activities 910 Support activities for petroleum and natural gas extraction 931 Sports activities 939 Arts, entertainment and recreation, not elsewhere classified 941 Activities of business, employers and professional membership organizations 949 Activities of other membership organizations 951 Repair of computers and communication equipment 952 Repair of personal and household goods 960 Other personal service activities 970 Activities of households as employers of domestic personnel 981 Undifferentiated goods-producing activities of private households for own use 982 Undifferentiated service-producing activities of private households for own use 990 Activities of extraterritorial organizations and bodies 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Sector of employment <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 25-28 were asked for residents aged 5 and over who are currently working or have ever worked (as indicated in questions 20-22 above).]</p> <p>28. What is the respondent's institutional sector of employment?</p> <div class="i1">[] 1 Public<br />[] 2 Private<br />[] 3 Non-profit institution<br />[] 4 Household</div> <span class="em">P25 to P28: For residents who have ever worked or are currently working </span></p> <p><span class="em">P28: Sector of economic activity </span> <br />Ask: What is [the person]'s institutional sector of employment? </p> <p>Enumerator encircles the code response as declared by respondent.</p> <div class="i1">1 Public: The agents and officials of the state <br />2 Employees of employers of private sectors <br />3 Non-profit institution: Employees of the parastatal sectors, the non-governmental organizations [NGOs] <br />4 Household: This category includes all paid domestic workers</div> Rwanda 2012: Persons age 5+ who are working or seeking work [discrepancies: none] This variable indicates the person's institutional sector of employment. 1 Public 2 Private 3 Non-profit institution 4 Household 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Marital status <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 29-32 were asked of residents aged 12 years or older.]</p> <p>29. What is the respondent's marital status?</p> <div class="i1">If never married and female, go to Question 33.<br />If widowed or divorced, go to Question 32.<br />If never married and male, end survey.<br /><br />[] 1 Never married<br />[] 2 Married<br />[] 3 Separated<br />[] 4 Widowed<br />[] 5 Divorced</div> <span class="em">P29 to P32: For residents aged 12 years or older </span></p> <p><span class="em">P29: Marital status </span> <br />Ask: What is [the person]'s marital status? </p> <p>The marriage may be taken place either legal, religious or traditional basis or those married persons should live together as husband and spouse. The answer for this question must be accepted as given by the respondent. Enumerator encircles the code corresponding to the given response. </p> <p>The relevant codes to be marked for the various marital status categories are follows:</p> <div class="i1">1 - Never married: Single person male or female or not yet married, unmarried mothers with children in the household without having contracted a marriage are also considered to be single. <br />2 - Married: the young woman or young man living together upon mutual agreement. In this case the husband and spouse might live together either legally or illegally.<br />3 - Separated person: A person temporarily separated from her/his spouse pending on the decision of the law<br />4 - Widow/widower: Man or woman who lost his wife [her husband] and had not yet remarried<br />5 - Divorced: A person permanently divorced from his/her spouse before the law</div> Rwanda 2012: Persons age 12+ [discrepancies: none] This variable indicates the person's marital status. 1 Never married 2 Married 3 Separated 4 Widowed 5 Divorced 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Number of spouses <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 29-32 were asked of residents aged 12 years or older.]</p> <p>30. How many spouses does the respondent have?</p> <div class="i1">The question was asked of married men only.<br /><br />Current number of spouses _</div> <span class="em">P29 to P32: For residents aged 12 years or older </span></p> <p><span class="em">P30: Number of spouses </span> <br />[This question is addressed to persons [male only] who have responded to P29 as married or separated person] </p> <p>Ask: How many spouses [the person] has? <br />Write the current number of spouses in the provided box. <br />Example: If he has two spouses, record them in the box as follows: [picture omitted] Rwanda 2012: Males age 12+ who are married or separated [discrepancies: none] This variable indicates the number of spouses the person has. 1 1 spouse 2 2 spouses 3 3 4 4 5 5+ 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Current rank as spouse <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 29-32 were asked of residents aged 12 years or older.]</p> <p>31. What is the rank of the respondent to the spouse?</p> <div class="i1">The question was asked of married women only.<br /><br />Current rank as spouse _</div> <span class="em">P29 to P32: For residents aged 12 years or older </span></p> <p><span class="em">P31: Rank to the spouse </span> <br />[This question is addressed to person [female only] who has responded P29 as married or separate person] </p> <p>Ask: What is the rank of [the person] to the spouse? <br />Write the current rank as spouse in the provided box. <br />Example: If she is the second spouse, record in box as follows [picture omitted] Rwanda 2012: Females age 12+ who are married or separated [discrepancies: none] This variable indicates the person's rank as a spouse. 1 1 2 2 3 3 4 4 5 5 6 6+ 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Age at first marriage <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 29-32 were asked of residents aged 12 years or older.]</p> <p>32. How old was the respondent when he/she first got married or lived together with partner?</p> <div class="i1">The question was asked of widowed or divorced males/ females.<br /><br />Age at first marriage _ _</div> <span class="em">P29 to P32: For residents aged 12 years or older </span></p> <p><span class="em">P32: Age at first marriage </span> <br />Ask: How was [the person] when he/she first got married or lived together with partner? </p> <p>Record the number of given ages in provided boxes. <br />Example: If the respondent was 29 years old at his/her first marriage, record in the boxes as follows: [picture omitted] </p> <p>Note: If he/she doesn't know his/her ages at his/her first marriage, record 99 in the boxes as follows: [picture omitted] Rwanda 2012: Persons age 12+ who were ever married [discrepancies: none] This variable indicates the person's age at first marriage. 12 12 year or younger 13 13 years 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+ 98 Unknown 99 Not applicable Demographic Variables -- PERSON Male children ever born <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 33-36 were asked of resident women aged 12 years or older.]</p> <p>33. How many live births has the respondent ever had?</p> <div class="i1">If none, write 00 for each sex and proceed to the next person.<br /><br />Male _ _<br />Female _ _</div> <span class="em">P33 to P36 for resident women aged 12 years or older </span></p> <p><span class="em">P33: Live births </span> <br />Ask: How many live births [the person] has ever had? </p> <p>Many women do not like answering questions about their children. There are various reasons for this, but it is your job to obtain the answers. It will require insistence, politeness and tact.</p> <p>A live birth is one who shows one or more of the following signs of life immediately after birth:</p> <div class="i1">Crying or similar sounds<br />Movement of the limbs or any other parts of the body <br />Any other tangible signs of life</div><p>The census is concerned only with children born alive. Do not include stillbirths, that is, children who were born dead and therefore did not show any sign[s] of life as above at the time of birth. If the woman has born any child alive:</p> <p>Write the number of boys in the box provided <br />Write the number of girls in the box provided <br />If none, write 00 for each sex and proceed to the next person Rwanda 2012: Females age 12+ [discrepancies: none] This variable indicates the number of live males ever born to the person. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children ever born <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 33-36 were asked of resident women aged 12 years or older.]</p> <p>33. How many live births has the respondent ever had?</p> <div class="i1">If none, write 00 for each sex and proceed to the next person.<br /><br />Male _ _<br />Female _ _</div> <span class="em">P33 to P36 for resident women aged 12 years or older </span></p> <p><span class="em">P33: Live births </span> <br />Ask: How many live births [the person] has ever had? </p> <p>Many women do not like answering questions about their children. There are various reasons for this, but it is your job to obtain the answers. It will require insistence, politeness and tact.</p> <p>A live birth is one who shows one or more of the following signs of life immediately after birth:</p> <div class="i1">Crying or similar sounds<br />Movement of the limbs or any other parts of the body <br />Any other tangible signs of life</div><p>The census is concerned only with children born alive. Do not include stillbirths, that is, children who were born dead and therefore did not show any sign[s] of life as above at the time of birth. If the woman has born any child alive:</p> <p>Write the number of boys in the box provided <br />Write the number of girls in the box provided <br />If none, write 00 for each sex and proceed to the next person Rwanda 2012: Females age 12+ [discrepancies: none] This variable indicates the number of live females ever born to the person. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children alive <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 33-36 were asked of resident women aged 12 years or older.]</p> <p>34. Among those children, how many are still alive?</p> <div class="i1">Male _ _<br />Female _ _</div> <span class="em">P33 to P36 for resident women aged 12 years or older </span></p> <p><span class="em">P34: Children are still alive</span> <br />Ask: Among those children, how many are still alive?</p> <p>Write the number of boys that are still alive in the box provided <br />Write the number of girls that are still alive in the box provided <br />If none or there had been live births but all had died, write "00" in appropriate sex for each sex and proceed to the next person. </p> <p>For female headed households, you should be able to verify this information from P02 [relationship] and P03 [sex]. </p> <p>If for example the woman has only two boys and two girls then you should write "02" in P33 male and "02" in P33 female. Rwanda 2012: Females age 12+ [discrepancies: none] This variable indicates the number of male children alive out of the total live males born to the person. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children alive <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 33-36 were asked of resident women aged 12 years or older.]</p> <p>34. Among those children, how many are still alive?</p> <div class="i1">Male _ _<br />Female _ _</div> <span class="em">P33 to P36 for resident women aged 12 years or older </span></p> <p><span class="em">P34: Children are still alive</span> <br />Ask: Among those children, how many are still alive?</p> <p>Write the number of boys that are still alive in the box provided <br />Write the number of girls that are still alive in the box provided <br />If none or there had been live births but all had died, write "00" in appropriate sex for each sex and proceed to the next person. </p> <p>For female headed households, you should be able to verify this information from P02 [relationship] and P03 [sex]. </p> <p>If for example the woman has only two boys and two girls then you should write "02" in P33 male and "02" in P33 female. Rwanda 2012: Females age 12+ [discrepancies: none] This variable indicates the number of female children out of the total live females born to the person. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children born in last 12 months <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 33-36 were asked of resident women aged 12 years or older.]</p> <p>35. How many live births has the respondent had during the last 12 months (from August 15, 2011 to August 15, 2012)?</p> <div class="i1">Male _<br />Female _</div> <span class="em">P33 to P36 for resident women aged 12 years or older </span></p> <p><span class="em">P35: Live births in the last 12 months </span><div class="i1">Ask: How many live births has [the person] had during the last 12 months [from 15 August 2011 to 15 August 2012]?<br />If the woman has born any child alive in 12 last months, <br />Write the number of boys in the box provided. <br />Write the number of girls in the box provided.</div> Rwanda 2012: Females age 12+ [discrepancies: none] This variable indicates the number of live males born to the person in the last 12 months. 0 0 1 1 2 2 3 3+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children born in last 12 months <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 33-36 were asked of resident women aged 12 years or older.]</p> <p>35. How many live births has the respondent had during the last 12 months (from August 15, 2011 to August 15, 2012)?</p> <div class="i1">Male _<br />Female _</div> <span class="em">P33 to P36 for resident women aged 12 years or older </span></p> <p><span class="em">P35: Live births in the last 12 months </span><div class="i1">Ask: How many live births has [the person] had during the last 12 months [from 15 August 2011 to 15 August 2012]?<br />If the woman has born any child alive in 12 last months, <br />Write the number of boys in the box provided. <br />Write the number of girls in the box provided.</div> Rwanda 2012: Females age 12+ [discrepancies: none] This variable indicates the number of live females born to the person in the 12 months. 0 0 1 1 2 2 3 3+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children born in last 12 months still alive <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 33-36 were asked of resident women aged 12 years or older.]</p> <p>35. How many live births has the respondent had during the last 12 months (from August 15, 2011 to August 15, 2012)?</p> <div class="i1">Male _<br />Female _</div><p>36. Among those children born during the last 12 months (from August 15, 2011 to August 15, 2012), how many are still alive?</p> <div class="i1">Male _<br />Female _</div> <span class="em">P33 to P36 for resident women aged 12 years or older </span></p> <p><span class="em">P36: Live births in the last 12 months who are still alive.</span> <br />Ask: Among those children, how many are still alive?</p> <p>Ask each woman [or mother-daughter], the children she has borne alive during the last 12 months, how many are still alive?</p> <p>Write the number of boys are still alive in the box provided <br />Write the number of girls are still alive in the box provided <br />If none during the last 12 months, write "0" in appropriate box for each sex and proceed to the next person,</p> <p>The newborn after census night is not enumerated.</p> <p>Note: [1] The number of children still alive should be equal to or less than the total live births. Therefore: [2] Make sure that none of the children she has borne alive are missed out. Ask further questions to probe the matter fully - "Are any of your children away?" "At work?" "With relatives?" etc. [3] After having completed the section of individual characteristics of all household members, [after having enumerated last household member] proceed to the section H: Housing Rwanda 2012: Females age 12+ [discrepancies: none] This variable indicates the number of male children alive out of the live males born to the person in the last 12 months. 0 0 1 1 2 2 3 3+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children born in last 12 months still alive <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 33-36 were asked of resident women aged 12 years or older.]</p> <p>35. How many live births has the respondent had during the last 12 months (from August 15, 2011 to August 15, 2012)?</p> <div class="i1">Male _<br />Female _</div><p>36. Among those children born during the last 12 months (from August 15, 2011 to August 15, 2012), how many are still alive?</p> <div class="i1">Male _<br />Female _</div> <span class="em">P33 to P36 for resident women aged 12 years or older </span></p> <p><span class="em">P36: Live births in the last 12 months who are still alive.</span> <br />Ask: Among those children, how many are still alive?</p> <p>Ask each woman [or mother-daughter], the children she has borne alive during the last 12 months, how many are still alive?</p> <p>Write the number of boys are still alive in the box provided <br />Write the number of girls are still alive in the box provided <br />If none during the last 12 months, write "0" in appropriate box for each sex and proceed to the next person,</p> <p>The newborn after census night is not enumerated.</p> <p>Note: [1] The number of children still alive should be equal to or less than the total live births. Therefore: [2] Make sure that none of the children she has borne alive are missed out. Ask further questions to probe the matter fully - "Are any of your children away?" "At work?" "With relatives?" etc. [3] After having completed the section of individual characteristics of all household members, [after having enumerated last household member] proceed to the section H: Housing Rwanda 2012: Females age 12+ [discrepancies: none] This variable indicates the number of female children alive out of the live female born to the person in the last 12 months. 0 0 1 1 2 2 3 3+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Occupation (1-digit) <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 25-28 were asked for residents aged 5 and over who are currently working or have ever worked (as indicated in questions 20-22 above).]</p> <p>25. What was the respondent's main occupation (type of work) during the last 7 days preceding the census night or during the last time he/she worked?</p> <div class="i1">Occupation ____</div> <span class="em">P25 to P28: For residents who have ever worked or are currently working </span></p> <p><span class="em">P25: Main occupation [type of work] </span> <br />Ask: What was [the person]'s main occupation during the last 7 days preceding the census night or during the last 12 months he/she worked? </p> <p>The question concerns those who have engaged in economic activity for the last 7 days preceding the census night. </p> <p>Type of work that the person performed in seven days before the census refers to occupation or the job title. Write down the current job title of the person, using two or three words.</p> <p>Example: primary school teacher, private gardener, cattle farmer, domestic worker, bus driver, communication technician, principal statistician, office cleaner, etc.</p> <p>Note: Do not accept only "teacher", "driver", and "technician". Use two or three words for the description, otherwise it will be difficult to know what type of work people are doing. Rwanda 2012: Persons age 5+ who are working or seeking work [discrepancies: none] This variable indicates the person's main occupation group. 01 Managers 02 Professionals 03 Technicians and associate professionals 04 Clerical support workers 05 Service and sales workers 06 Skilled agricultural, forestry and fishery workers 07 Craft and related trades workers 08 Plant and machine operators, and assemblers 09 Elementary occupations 98 Unknown 99 NIU (not in universe) Work: Occupation Variables -- PERSON Industry (1-digit) <span class="h2">Section P: Characteristics of population </span></p> <p>[Questions 25-28 were asked for residents aged 5 and over who are currently working or have ever worked (as indicated in questions 20-22 above).]</p> <p>27. What is the main product, service, or activity of the respondent's place of work?</p> <div class="i1">Product/ service/activity ____</div> <span class="em">P25 to P28: For residents who have ever worked or are currently working </span></p> <p><span class="em">P27: Branch of economic activity </span> <br />Ask: What is the main product, service or activity of [the person]'s place of work? </p> <p>This question concerns people aged at least 5 years who have a job or who have worked, that means those who responded to P23 by encircling 1 [Yes]. </p> <p>The enumerator writes the main activity of the establishment or industry where the person works.</p> <p>Examples of activities and industries most common in Rwanda. <br />1 - Agriculture and livestock</p> <div class="i1">General Agriculture Apiculture<br />Breeding Fishing hunting<br />Other forestry</div><p>2 - Extraction of minerals and gems</p> <div class="i1">Gold<br />Wolfram<br />Cassiterite<br />Columbite-tantalite [coltan] <br />Other</div><p>3 - Mills </p> <div class="i1">Woodworking [sawing and planning of wood]<br />Carpentry<br />Bakery<br />Oils and fats<br />Preparing tea<br />Knitting and weaving<br />Ceramics Printing<br />Forge and other</div><p>4 - Electricity, gas and water</p> <div class="i1">Production, electricity production from gas<br />Production and distribution of water<br /> Other</div><p>5 - Construction and public works</p> <div class="i1">Construction of roads, bridges and roads <br />Construction of houses<br />Other water pipes</div><p>6 - Trade, restaurants and hotels</p> <div class="i1">Trade in food, shops Markets<br />Petrol stations [gas stations], Restaurants<br />Bars and taverns and other</div><p>7 - Transporting people and goods, warehouses, telecommunications.</p> <div class="i1">Road transport-lease vehicles Freight Transportation<br />Warehouse for goods <br />Other [taxis ...]</div><p>8 - Banks, insurance</p> <div class="i1">Banks<br />Social Insurance Fund Home Insurance<br />Other companies in the banking operations</div><p>9 - Community service</p> <div class="i1">Public Service and Administration<br />Education<br />Armed Forces<br />Shoemaking<br />Repairing electrical equipment<br />Repair vehicles, motorcycles and bicycles<br />Hairdressing salon<br />Photography<br />Housework<br />Activities and services for the disabled<br />Faiths<br />Other hospitals.</div> Rwanda 2012: Persons age 5+ who are working or seeking work [discrepancies: none] This variable indicates the person's industry group of work. 01 Agriculture, forestry and fishing 02 Mining and quarrying 03 Manufacturing 04 Electricity, gas, steam and air conditioning supply 05 Water supply; sewerage, waste management and remediation activities 06 Construction 07 Wholesale and retail trade; repair of motor vehicles and motorcycles 08 Transportation and storage 09 Accommodation and food service activities 10 Information and communication 11 Financial and insurance activities 13 Professional, scientific and technical activities 14 Administrative and support service activities 15 Public administration and defence 16 Education 17 Human health and social work activities 18 Arts, entertainment and recreation 19 Other service activities 20 Activities of households as employers; producing for own use 21 Activities of extraterritorial organizations or bodies 98 Unknown 99 NIU (not in universe) Work: Industry Variables -- PERSON