1999 Population and Housing census DDI_KEN_1999_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. 1999 Population and Housing census - IPUMS Subset PHC ke1999a (IPUMS Harmonized Subset) KEN_1999_PHC_v01_M_v7.6_A_IPUMS Central Bureau of Statistics Ministry of Finance and Planning IPUMS (c) Copyright 1999, Central Bureau of Statistics Ministry of Finance and Planning and Minnesota Population Center Central Bureau of Statistics Ministry of Finance and Planning Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Work Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Migration: F-N Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Education Variables -- PERSON Technical Person Variables -- PERSON Geography: F-N Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Demographic Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON August 25, 1999 7 days after census day, to August 31 Kenya District Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: - Households: yes - Individuals: yes - Group quarters: yes* UNIT DESCRIPTIONS: - Dwellings: A homestead is a structurally separate and independent place of abode. A structure is a building that is used for dwelling purposes. In rural areas most of the structures will be found within a homestead and may contain one or more dwelling units. A dwelling unit is the abode occupied by the respondents and constitutes one or more households. - Households: A person or a group of persons who live together in the same dwelling unit or homestead and eat together. They may or may not be related by blood or marriage - Group quarters: Group quarters consist of schools/colleges, barracks, prisons, hospitals and other institutions. All persons present in Kenya on the reference date. Persons who sleep outdoors and travelers in hotels, lodges, and boarding houses Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Kenya 1999 MICRODATA SOURCE: Central Bureau of Statistics Ministry of Finance and Planning SAMPLE SIZE (person records): 1407547. SAMPLE DESIGN: Systematic sample of every twentieth household. Persons who sleep outdoors and travelers in hotels, lodges, and boarding houses Face-to-face [f2f] A long form was used to enumerate individuals in private households and in institutions such as schools, colleges, barracks, prisons, and hospitals. The long form includes both individual and housing characteristics. A greatly abbreviated form was used for persons in transit or who slept outdoors, in hotels or boarding houses. de facto, CENSUS DAY: August 25, 1999 Self-weighting. Expansion factor = 20. 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. Central Bureau of Statistics Ministry of Finance and Planning Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: Kenya, Central Bureau of Statistics Ministry of Finance and Planning. 1999 Population 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 ke1999a, 2025 KEN1999_PHC-H-H.dat Household records 317,106 ascii Minnesota Population Center Version 7.5, IPUMS sample KEN1999_PHC-P-H.dat Person records 1407547 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Group quarters type GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. Geography: Global Variables -- HOUSEHOLD 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Kenya, Province 1969 - 2019 [Level 1; consistent boundaries, GIS] GEO1_KE identifies the household's province or national capital within Kenya in all sample years. Provinces or national capital are the first level administrative units of the country. GEO1_KE is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_KE can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Kenya 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. 404001 Nairobi 404002 Central 404003 Coast 404004 Eastern 404005 Northeastern 404006 Nyanza 404007 Rift Valley 404008 Western Geography: F-N Variables -- HOUSEHOLD Kenya, Province 1999 [Level 1, GIS] GEO1_KE1999 identifies the household's province or national capital within Kenya in 1999. Provinces or national capital are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_KE1999 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Kenya 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 Nairobi 002 Central 003 Coast 004 Eastern 005 North Eastern 006 Nyanza 007 Rift Valley 008 Western Geography: F-N Variables -- HOUSEHOLD Kenya, District 1969 - 2019 [Level 2; consistent boundaries, GIS] GEO2_KE identifies the household's county within Kenya in all sample years. Counties are the second level administrative units of the country. GEO2_KE is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO1_KE can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Kenya 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. 404001047 Nairobi City 404002018 Nyandarua 404002019 Nyeri 404002020 Kirinyaga 404002022 Kiambu, Murang'a 404003001 Mombasa 404003002 Kwale 404003003 Kilifi 404003004 Tana River 404003005 Lamu 404003006 Taita-Taveta 404004010 Marsabit 404004011 Isiolo 404004012 Meru, Tharaka-Nithi 404004015 Kitui 404004016 Machakos, Makueni, Embu 404005007 Garissa 404005008 Wajir 404005009 Mandera 404006041 Siaya 404006042 Kisumu 404006043 Homa Bay, Migori 404006045 Kisii, Nyamira 404007023 Turkana 404007024 West Pokot 404007025 Samburu 404007026 Trans Nzoia 404007027 Uasin Gishu 404007028 Elgeyo-Marakwet 404007029 Nandi 404007030 Baringo, Laikipia 404007032 Nakuru 404007033 Narok 404007034 Kajiado 404007035 Kericho, Bomet 404008037 Kakamega, Vihiga 404008039 Bungoma 404008040 Busia Geography: F-N Variables -- HOUSEHOLD Kenya, District 1999 [Level 2, GIS] GEO2_KE1999 identifies the household's district within Kenya in 1999. Districts are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_KE1999 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Kenya can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001001 Nairobi 002001 Kiambu 002002 Karingyaga 002003 Muranga 002004 Nyandarua 002005 Nyeri 002006 Thika 002007 Maragua 003001 Kilifi 003002 Kwale 003003 Lamu 003004 Mombasa 003005 Taita Taveta 003006 Tana River 003007 Malindi 004001 Embu 004002 Isiolo 004003 Kitui 004004 Makueni 004005 Machakos 004006 Marsabit 004007 Mbeere 004008 Meru Central 004009 Moyale 004010 Mwingi 004011 Meru North 004012 Tharaka 004013 Meru South 005001 Garissa 005002 Mandera 005003 Majir 006001 South Kisii 006002 Homa Bay 006003 Central Kisii 006004 Kisumu 006005 Kuria 006006 Migori 006007 North Kisii 006008 Rachuonyo 006009 Siaya 006010 Suba 006011 Bondo 006012 Nyando 007001 Baringo 007002 Bomet 007003 Keiyo 007004 Kajiado 007005 Kericho 007006 Koibetek 007007 Laikipia 007008 Marakwet 007009 Naruku 007010 Nandi 007011 Narok 007012 Samburu 007013 Trans Mara 007014 Trans Nzoia 007015 Turkana 007016 Uasin Gishu 007017 West Pokot 007018 Buret 008001 Bungoma 008002 Busia 008003 Mt Elgon 008004 Kakamega 008005 Lugari 008006 Teso 008007 Vihiga 008008 Butere/Mumias Geography: F-N Variables -- HOUSEHOLD DHS-IPUMS-I Kenya regions, 1969-2019 [consistent boundaries, GIS] DHS_IPUMSI_KE provides geographic codes for Kenya 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_KE indicate the major administrative unit in which the household was enumerated or surveyed. GIS shapefiles for Kenya can be downloaded here. 1 Nairobi 2 Central 3 Coast 4 Eastern 5 Nyanza 6 Rift Valley 7 Western 8 Northeastern 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 Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD 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 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 Enumeration area type Kenya 1999: All records This variable indicates whether the type of the enumeration area is rural, urban, peri-urban or environ. 1 Rural 2 Urban 3 Peri-urban 4 Environ Geography: F-N Variables -- HOUSEHOLD Household type <svar v="KE99A001 KE99A002 KE99A004 KE99A005 KE99A006 KE99A008 KE99A010" a="all">____ Province<br />____ District<br />____ Location<br />____ Sub-location<br />____ E. A. [Enumeration area] number<br />____ Household number<br />____ Household type<br /></svar> Kenya 1999: All records This variable indicates the type of the household. If the household is not ordinary, the variable specifies its type. 1 Conventional 2 Institutions 3 Empty EAs 4 Travellers 5 Vagrants 6 Hotel, Lodge etc 7 Refugee camp 8 Health facility, prisons, cells Group Quarters Variables -- HOUSEHOLD Shared dwelling <svar v="KE99A011 KE99A012" a="all">Column H10: Dwelling units<br /><br />101. For purposes of this census, a dwelling unit is a structure, which a household uses for sleeping, eating, entertaining guests, etc. A dwelling unit may be a whole structure or part of a structure, especially in the urban setting.<br /><br />(a) Record the number of dwelling units available to a household in H10.<br /><br />(b)You may encounter situations whereby a dwelling unit is shared by more than one household. Make sure you probe carefully and tactfully to establish such a scenario and consequently mark an "X" in the smaller box in H 10 to indicate that the dwelling unit is shared. Do not assume that people sharing a dwelling unit belong to the same household.<br /><br />(c) There are situations, especially in the rural areas whereby the kitchen is a stand-alone structure. Such a kitchen must be counted as a dwelling unit in its own right.<br /></svar> Kenya 1999: All households This variable indicates whether the household shares the dwelling unit with some other households. 1 Household within a shared dwelling 2 Household not in a shared dwelling 9 Unknown Other Household Variables -- HOUSEHOLD Number of units in dwelling <svar v="KE99A012" a="all">H-10. How many dwelling units does this household occupy?<br /></svar> <svar v="KE99A011 KE99A012" a="all">Column H10: Dwelling units<br /><br />101. For purposes of this census, a dwelling unit is a structure, which a household uses for sleeping, eating, entertaining guests, etc. A dwelling unit may be a whole structure or part of a structure, especially in the urban setting.<br /><br />(a) Record the number of dwelling units available to a household in H10.<br /><br />(b)You may encounter situations whereby a dwelling unit is shared by more than one household. Make sure you probe carefully and tactfully to establish such a scenario and consequently mark an "X" in the smaller box in H 10 to indicate that the dwelling unit is shared. Do not assume that people sharing a dwelling unit belong to the same household.<br /><br />(c) There are situations, especially in the rural areas whereby the kitchen is a stand-alone structure. Such a kitchen must be counted as a dwelling unit in its own right.<br /></svar> Kenya 1999: All households This variable indicates the number of dwelling units occupied by the household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 24 24 30 30 31 31 32 32 33 33 35 35 41 41 99 Unknown Technical Household Variables -- HOUSEHOLD Number of habitable rooms <svar v="KE99A013" a="all">H-11. How many habitable rooms does (do) this (these) dwelling unit(s) contain?<br /></svar> <svar v="KE99A013" a="all">Column H11: Habitable rooms<br /><br />102. Record the number of habitable rooms available in all the dwelling units that belong to a household in H1 1.<br /><br />(a) Habitable rooms are rooms in the dwelling units that are used mainly for living and exclude stores, granaries, offices, toilets and garages.<br />(b) A kitchen, under normal circumstances, should not be counted as a habitable room. However, if the household uses the kitchen for eating and/or sleeping purposes, or even for purposes of entertaining guests, then it should be counted with the habitable rooms. The same applies to a store.<br /></svar> Kenya 1999: All households This variable indicates the number of habitable 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 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+ 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Tenancy status <svar v="KE99A014" a="all">H-12. Main dwelling unit tenure:<br /><br /><div class="i1">If owner occupied state whether</div><br /><div class="i2">[] 1. Purchased<br />[] 2. Constructed<br />[] 3. Inherited</div><br /><br /><div class="i1">If rented/provided state whether</div><br /><div class="i2">[] 4. Government<br />[] 5. Local authority<br />[] 6. Parastatal<br />[] 7. Private company<br />[] 8. Individual<br />[] 9. Other form of tenure</div><br /></svar> <svar v="KE99A014" a="all">Columns H12-15: Main residential/dwelling unit<br /><br />102. The questions in H12-15 elicit information on the status of tenure and the dominant construction materials of the main residential/dwelling unit.<br />For census purposes, the structure where most of the household activities e.g. sleeping, cooking and eating take place will be defined as the main residential/dwelling unit.<br /><br />Column H12: Status of tenure<br /><br />104. Column H12 seeks information on status of tenure i.e. whether the dwelling unit is owner occupied or rented by the household. Ask the head of the household or any other responsible person whether the main residential/dwelling unit is owned or rented by him/her or any other member of the household?" You are supposed to code the answers using the categories provided.<br /><br />Owner occupied<br />(a) Under owner occupied are listed: <br /><br />Purchased<br />Means that a member of the household has bought the structure or is in the process of paying for the structure and household members are living in it.<br /><br />Constructed<br />Means that a member of the household has built the structure they are living in.<br /><br />Inherited<br />Means that a member of the household has received the building by (legal) right of succession or by a will. However in this case, do not ask for proof. Accept what the respondent says.<br /><br />Rented<br />(b) Under rented are listed dwelling units either provided by the employer of a member of the household or rented by a member of the household. This includes:<br /><br />Government<br />Covers all houses rented or provided by the government of Kenya<br /><br />Local Authority<br />Covers municipal and city councils. <br /><br />Parastatal<br />Covers organizations like Kenya Railways, Kenya Power and Lighting Co., universities, etc.<br /><br />Private Company<br />Covers private firms and foreign governments. <br /><br />Individual rented<br />Covers private individuals only.<br /><br />(c) Other form of tenure<br />Covers unauthorized dwelling units<br /></svar> Kenya 1999: All households This variable indicates tenancy status (ownership). 1 Purchased-owner 2 Constructed-owner 3 Inherited-owner 4 Government 5 Local-authority 6 Parastatal 7 Private company 8 Individual 9 Unknown Household Economic Variables -- HOUSEHOLD Roof material <svar v="KE99A015" a="all">H-13. Roof<br /><div class="i1">[] 1. Corrugated iron sheet<br />[] 2. Tiles<br />[] 3. Concrete<br />[] 4. Asbestos sheets<br />[] 5. Grass<br />[] 6. <span class="lang">Makuti</span><br />[] 7. Tin<br />[] 8. Other</div><br /></svar> <svar v="KE99A015 KE99A016 KE99A017" a="all">Columns H13-15: Construction materials of the main dwelling unit.<br /><br />Code in column H13 the construction materials used to build the roof e.g. code "1" for roof with corrugated iron sheets, "4" for Asbestos sheets etc. Tiles include clay, wooden tiles, fibre and cement, etc.<br /><br />106.Code in column H14 the construction materials used to build the walls e.g. code "3" for mud/wood etc.<br /><br />107. Code in column H15 the construction material used to build the floor e.g. code "1" for cement, "4" for earth, "3" for wood, "1" tiles. Tiles include wooden tiles. Wood means wooden planks.<br /></svar> Kenya 1999: All households This variable indicates the dominant construction material of the roof in the main dwelling unit. 1 Corrugated Iron sheets 2 Tiles 3 Concrete 4 Asbestos-sheets 5 Grass 6 Makuti 7 Tin 8 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Wall material <svar v="KE99A016" a="all">H-14. Wall<br /><div class="i1">[] 1. Stone<br />[] 2. Brick/block<br />[] 3. Mud/wood<br />[] 4. Mud/cement<br />[] 5. Wood only<br />[] 6. Corrugated iron sheets<br />[] 7. Grass/reeds<br />[] 8. Tin<br />[] 9. Other</div><br /></svar> <svar v="KE99A015 KE99A016 KE99A017" a="all">Columns H13-15: Construction materials of the main dwelling unit.<br /><br />Code in column H13 the construction materials used to build the roof e.g. code "1" for roof with corrugated iron sheets, "4" for Asbestos sheets etc. Tiles include clay, wooden tiles, fibre and cement, etc.<br /><br />106.Code in column H14 the construction materials used to build the walls e.g. code "3" for mud/wood etc.<br /><br />107. Code in column H15 the construction material used to build the floor e.g. code "1" for cement, "4" for earth, "3" for wood, "1" tiles. Tiles include wooden tiles. Wood means wooden planks.<br /></svar> Kenya 1999: All households This variable indicates dominant construction material of the wall in the main dwelling unit. 01 Stone 02 Brick/Block 03 Mud/Wod 04 Mud/Cement 05 Wood 06 Corrugated Iron-Sheets 07 Grass/Reed 08 Tin 09 Other 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Floor material <svar v="KE99A017" a="all">H-15. Floor<br /><div class="i1">[] 1. Cement<br />[] 2. Tiles<br />[] 3. Wood<br />[] 4. Earth<br />[] 5. Other</div><br /></svar> <svar v="KE99A015 KE99A016 KE99A017" a="all">Columns H13-15: Construction materials of the main dwelling unit.<br /><br />Code in column H13 the construction materials used to build the roof e.g. code "1" for roof with corrugated iron sheets, "4" for Asbestos sheets etc. Tiles include clay, wooden tiles, fibre and cement, etc.<br /><br />106.Code in column H14 the construction materials used to build the walls e.g. code "3" for mud/wood etc.<br /><br />107. Code in column H15 the construction material used to build the floor e.g. code "1" for cement, "4" for earth, "3" for wood, "1" tiles. Tiles include wooden tiles. Wood means wooden planks.<br /></svar> Kenya 1999: All households This variable indicates dominant construction material of the floor in the main dwelling unit. 1 Cement 2 Tiles 3 Wood 4 Earth 5 Other 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Water source <svar v="KE99A018" a="all">H-16. Main source of water:<br /><div class="i1">State whether<br /><br />[] 1. Pond<br />[] 2. Dam<br />[] 3. Lake<br />[] 4. Stream/river<br />[] 5. Spring<br />[] 6. Well<br />[] 7. Borehole<br />[] 8. Piped<br />[] 9. <span class="lang">Jabias</span>/tanks<br />[] 9. Other</div><br /></svar> <svar v="KE99A018" a="all">Columns H16-19: Household amenities<br /><br />108. Columns H16 to H19 seek information on the type of facilities that are available to the household.<br /><br />Column H16: Main source of water<br />109. In column H16, ask "What is the main source of water for this household?" You are required to code the main source of water. This is the source from which for most part of the year the household draws its water. For example, if during the wet season the household draws water from a tank but then the longer part of the year draws from a river code "4" as main source of water.<br /><br />The main sources of water listed are: <br /><br />Pond<br />A small area of still water. Usually this water collects after rain or through an underground drainage.<br /><br />Dam<br />A reservoir formed by building a barrier across river to hold back water and control its flow. A lot of these dams are built in dry areas of Kenya. <br /><br />Lake<br />Usually bigger than a pond but has water collecting in it through rain, rivers etc. It is different from a dam in that it is not man-made. Stream/river<br /><br />This is a naturally flowing source of water.<br /><br />Spring<br />Place where water springs or wells up from earth or basin.<br /><br />Well<br />A man made shaft dug in the ground from which water is obtained. Water is drawn using buckets<br /><br />Borehole<br />Same as the well as defined above but deeper than a well and has pump for drawing the water into a tank, buckets etc.<br /><br />Piped<br />Means water drawn through pipes installed in a dwelling unit and originating in a central (public) source.<br /><br />Jabias/Tanks<br />Rain water harnessed from any catchment into a hole/tank and used for domestic purposes.<br /><br />Other<br />Any source that is not mentioned above.<br /></svar> Kenya 1999: All households This variable indicates the main source of water for the household. 00 Other 01 Pond 02 Dam 03 Lake 04 Stream/river 05 Spring 06 Well 07 Borehole 08 Piped-water 09 Jabias/tanks 99 Unknown Utilities Variables -- HOUSEHOLD Sewage dispose <svar v="KE99A019" a="all">H-17. Main type of human waste disposal:<br /><div class="i1">[] 1. Main sewer<br />[] 2. Septic tank<br />[] 3. Cess pool<br />[] 4. Pit latrine<br />[] 5. Bucket latrine<br />[] 6. Bush<br />[] 7. Other</div><br /></svar> <svar v="KE99A019" a="all">Column H17: Main type of human waste disposal<br /><br />110. In column H17 ask, "where do members of this household dispose of human waste?" Code the answers according to the 'categories given below e.g. code 4 for pit latrine, 3 for cesspool etc. Sewage is the liquid waste matter drained away from the structure for disposal.<br />The categories of main type of sewage disposal are:<br /><br />Main sewer<br />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 centers like Nairobi, Mombasa etc.<br /><br />Septic tank<br />Is a tank into which an individual household's sewage is conveyed and Remains there until it is emptied. Examples of septic tanks are found in urban areas, where the tank is often located within the compound where you find dwelling structures.<br /><br />Bucket latrine<br />This is a bucket placed in a residential area used for human excreta. It is emptied occasionally. This type of waste disposal is now rare but can still be found in urban residential estates.<br /><br />Cess pool<br />Is a pool where liquid waste is drained into communally from the dwelling units until it is emptied.<br /></svar> Kenya 1999: All households This variable indicates main type of sewage disposal for the household. 1 Main sewer 2 Septic-tank 3 Cess-pool 4 Pit-latrine 5 Bucket-latrine 6 Bush 7 Other 9 Unknown Utilities Variables -- HOUSEHOLD Cooking fuel <svar v="KE99A020" a="all">H-18. Main cooking fuel:<br /><div class="i1">[] 1. Electricity<br />[] 2. Paraffin<br />[] 3. Gas<br />[] 4. Firewood<br />[] 5. Charcoal<br />[] 6. Other</div><br /></svar> <svar v="KE99A020" a="all">Column H18: Main cooking fuel<br /><br />111."What is the main cooking fuel used in this household?" In column H18, note that some households may use electricity, paraffin, gas and firewood, all at the same time. The answer required here is the fuel used most of the time. Code appropriate answer in column H 18. <br /></svar> Kenya 1999: All households This variable indicates the main cooking fuel used in the household. 1 Electricity 2 Paraffin 3 Gas 4 Firewood 5 Charcoal 6 Other 9 Unknown Utilities Variables -- HOUSEHOLD Lighting type <svar v="KE99A021" a="all">H-19. Main type of lighting:<br /><div class="i1">[] 1. Electricity<br />[] 2. Paraffin lamps<br />[] 3. Lantern<br />[] 4. Tin lamp<br />[] 5. Fuel wood<br />[] 6. Solar<br />[] 7. Other</div><br /></svar> <svar v="KE99A021" a="all">Column of H19: Main type of lighting<br /><br />112. In column H19 code the answer according to the categories given. Tin lamps include plastic and/or bottle lamps, <span class="lang">karabai</span>, etc.<br /></svar> Kenya 1999: All households This variable indicates the main type of lighting in the household. 1 Electricity 2 Paraffin-lamp 3 Lantern 4 Tin-lamp 5 Fuel-wood 6 Solar 7 Other 9 Unknown Utilities Variables -- HOUSEHOLD Strata Kenya 1999: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 5-digit numeric variable with 0 implied decimal places Geography: F-N Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON 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 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 Month of last birth LASTBMO indicates the month of birth of the last child born by the respondent. The data refer to live births. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Year of last birth LASTBYR indicates the year of birth of the last child born by the respondent. The data refer to live births. 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9998 Unknown 9999 NIU (not in universe) Fertility and Mortality Variables -- PERSON Sex of last birth LASTBSEX indicates the sex of a woman's most recent birth. 0 NIU (not in universe) 1 Male 2 Female 3 Both sexes (multiple births) 9 Unknown Fertility and Mortality Variables -- PERSON Number of children dead CHDEAD reports how many of the children ever born to a woman were no longer living at the time of the census. Women were to consider all live births by all fathers; they were to exclude still births. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown/missing 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children dead CHDEADFEM indicates the number of female children ever born to a woman who are no longer living. Stillbirths are not counted. It is possible to calculate total child deaths for samples that have both the "Female children ever born" and "Female children surviving" variables. That is not done in CHDEADFEM, which includes only the samples that directly reported the information in the appropriate form. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children dead CHDEADMALE indicates the number of male children ever born to a woman who are no longer living. Stillbirths are not counted. It is possible to calculate total child deaths for samples that have both the "Male children ever born" and "Male children surviving" variables. That is not done in CHDEADMALE, which includes only the samples that directly reported the information in the appropriate form. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Mortality status of last birth LASTBMORT indicates the mortality status of the last child born to a woman. There is no constraint on how long ago the child may have been born. Only live births are considered. 0 NIU (not in universe) 1 Alive 2 Dead 9 Unknown Fertility and Mortality Variables -- PERSON Mortality status of mother MORTMOT indicates whether the person's biological mother was still living at the time of the census. 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Mortality status of father MORTFAT indicates whether the person's biological father was still living. 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own children in household HOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children in household HOMEFEM indicates the number of female children born living in the household with their mother (the respondent). 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 17 17 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own male children in household HOMEMALE indicates the number of male children born living in the household with their mother (the respondent). 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own children living elsewhere AWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) at the time of the census. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children living elsewhere AWAYFEM indicates the number of surviving biological female children not living in the household with their mother (the respondent). 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own male children living elsewhere AWAYMALE indicates the number of surviving biological male children not living in the household with their mother (the respondent). 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Nativity status NATIVITY indicates whether the person was native-born or foreign-born. 0 NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Country of birth BPLCOUNTRY indicates the person's country of birth. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown Nativity and Birthplace Variables -- PERSON Province of birth, Kenya; [Level1: consistent boundaries, GIS] BPL1_KE indicates the person's province of birth within Kenya. Birthplace province codes from BPL1_KE are compatible with codes from GEO1_KE. 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. 404001 Nairobi 404002 Central 404003 Coast 404004 Eastern 404005 Northeastern 404006 Nyanza 404007 Rift Valley 404008 Western 404097 Abroad 404098 Unknown 404099 NIU (not in universe) Nativity and Birthplace Variables -- PERSON District of birth, Kenya; [Level 2; consistent boundaries, GIS] BPL2_KE indicates the person's district of birth within Kenya. Birthplace district codes from BPL2_KE are compatible with codes from GEO2_KE. 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. 404001047 Nairobi City 404002018 Nyandarua 404002019 Nyeri 404002020 Kirinyaga 404002022 Kiambu, Murang'a 404002099 Central Province, unknown district 404003001 Mombasa 404003002 Kwale 404003003 Kilifi 404003004 Tana River 404003005 Lamu 404003006 Taita-Taveta 404003099 Coast Province, unknown district 404004010 Marsabit 404004011 Isiolo 404004012 Meru, Tharaka-Nithi 404004015 Kitui 404004016 Machakos, Makueni, Embu 404004099 Eastern Province, unknown district 404005007 Garissa 404005008 Wajir 404005009 Mandera 404005099 Northeastern Province, unknown district 404006041 Siaya 404006042 Kisumu 404006043 Homa Bay, Migori 404006045 Kisii, Nyamira 404006099 Nyanza Province, unknown district 404007023 Turkana 404007024 West Pokot 404007025 Samburu 404007026 Trans Nzoia 404007027 Uasin Gishu 404007028 Elgeyo-Marakwet 404007029 Nandi 404007030 Baringo, Laikipia 404007032 Nakuru 404007033 Narok 404007034 Kajiado 404007035 Kericho, Bomet 404007099 Rift Valley Province, unknown district 404008037 Kakamega, Vihiga 404008039 Bungoma 404008040 Busia 404008099 Western Province, unknown district 404097097 Abroad 404098098 Unknown 404099099 NIU (not in universe) Nativity and Birthplace Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Kenya EDUCKE indicates the person's educational attainment in Kenya in terms of the level of schooling completed. 00 None 01 Pre-primary 02 Standard 1, incomplete 03 Standard 1 04 Standard 2 05 Standard 3 06 Standard 4 07 Standard 5 08 Standard 6 09 Standard 7 10 Standard 8 11 Form 1 12 Form 2 13 Form 3 14 Form 4 15 Form 5 16 Form 6 21 Basic literacy 22 Adult basic education 23 Adult secondary education 30 Youth polytechnic 40 University, completion unspecified 41 University, incomplete 42 University, complete 43 College (training schools) 44 University, undergraduate 45 University, Masters or PhD 50 Madrassa 98 Unknown 99 NIU (not in universe) 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 Migration status, 1 year MIGRATE1 indicates the person's place of residence 1 year ago. The first digit records movement across major administrative divisions and countries; the second digit reports movement across minor administrative divisions. 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 99 Unknown/missing Migration: Global Variables -- PERSON Country of residence 1 year ago MIGCTRY1 indicates the country of residence 1 year ago for international migrants. Persons who did not live abroad 1 year prior are coded to the "non-migrant" category. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15199 Western African, n.s. 19990 Africa, n.s. 19991 Central and South Africa 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. Jon 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent 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 South America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24041 U.S. Outlying Areas and Territories 24999 North America, n.s. 29990 Americas, other and n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 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 33199 Other South-Eastern Asia 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 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34990 Western Asia, n.s. 34991 Middle East, n.e.c. 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41030 Czech Republic 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.e.c. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42999 Northern Europe, 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 43144 Kosovo 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, n.e.c. 49990 Europe, n.s. 49991 Central-Eastern Europe 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 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) 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 90000 Non-migrant (international) 99998 Response suppressed 99999 Unknown Migration: Global Variables -- PERSON 1st subnational geographic level of residence 1 years prior to survey, world [consistent boundaries over time] GEOMIG1_1 indicates the major administrative unit in which the person resided one year prior to the survey. Only intra-national migrations are recorded; however, the variable incorporates geographies for every country that lists place of residence one year ago, to enable comparative analysis of subnational migration. Foreign migrants are coded 097 or 997. Codes for GEOMIG1_1 match the geographic codes in GEOLEV1 (current place of residence). For similar information for different time intervals since migration, see variables GEOMIG1_P, GEOMIG1_5, and GEOMIG1_10. More on migration and geography can be found here. 040011 Burgenland [State: Austria] 040012 Niederösterreich [State: Austria] 040013 Wien [State: Austria] 040021 Kärnten [State: Austria] 040022 Steiermark [State: Austria] 040031 Oberösterreich [State: Austria] 040032 Salzburg [State: Austria] 040033 Tirol [State: Austria] 040034 Vorarlberg [State: Austria] 040097 Foreign country [State: Austria] 040099 NIU [State: Austria] 854001 Boucle du Mouhoun [Region: Burkina Faso] 854002 Cascades [Region: Burkina Faso] 854003 Centre [Region: Burkina Faso] 854004 Centre-Est [Region: Burkina Faso] 854005 Centre-Nord [Region: Burkina Faso] 854006 Centre-Ouest [Region: Burkina Faso] 854007 Centre-Sud [Region: Burkina Faso] 854008 Est [Region: Burkina Faso] 854009 Hauts-Bassins [Region: Burkina Faso] 854010 Nord [Region: Burkina Faso] 854011 Plateau Central [Region: Burkina Faso] 854012 Sahel [Region: Burkina Faso] 854013 Sud-Ouest [Region: Burkina Faso] 854997 Abroad [Region: Burkina Faso] 854998 Unknown [Region: Burkina Faso] 854999 NIU [Region: Burkina Faso] 072001 Gaborone [District: Botswana] 072002 Francistown [District: Botswana] 072003 Lobatse [District: Botswana] 072004 Selebi Phikwe [District: Botswana] 072007 Central Tutume, Sowa [District: Botswana] 072010 Ngwaketse, Ngwaketse West, Ngwaketse Southern, Southern, Jwaneng [District: Botswana] 072011 Borolong [District: Botswana] 072020 South East [District: Botswana] 072030 Kweneng, Kweneng South, Kweneng North [District: Botswana] 072040 Kgatleng [District: Botswana] 072050 Central Serowe/Palapye [District: Botswana] 072051 Central Mahalapye [District: Botswana] 072052 Central Bobonong [District: Botswana] 072053 Central Boteti, Orapa [District: Botswana] 072060 North East [District: Botswana] 072070 Ngamiland East [District: Botswana] 072071 Ngamiland West, Delta [District: Botswana] 072072 Chobe [District: Botswana] 072080 Ghanzi, Central Kgalagadi Game Reserve (CKGR) [District: Botswana] 072090 Tshabong (Kgalagadi South) [District: Botswana] 072091 Hukunsti (Kgalagadi North) [District: Botswana] 072092 Botswana, district unknown [District: Botswana] 072097 Abroad [District: Botswana] 072098 Unknown [District: Botswana] 072099 NIU (not in universe) [District: Botswana] 124010 Newfoundland and Labrador [Province: Canada] 124011 Prince Edward Island, Yukon Territory, Northwest Territories, Nunavut [Province: Canada] 124012 Nova Scotia [Province: Canada] 124013 New Brunswick [Province: Canada] 124024 Quebec [Province: Canada] 124035 Ontario [Province: Canada] 124046 Manitoba [Province: Canada] 124047 Saskatchewan [Province: Canada] 124048 Alberta [Province: Canada] 124059 British Columbia [Province: Canada] 124098 Unknown [Province: Canada] 124099 NIU (not in universe) [Province: Canada] 384001 Lagunes, Sud Comoé, Sud Bandama, Agneby [Region: Cote D'Ivoire] 384002 Haut Sassandra, Marahoué, Fromager [Region: Cote D'Ivoire] 384003 Savanes [Region: Cote D'Ivoire] 384004 Vallée du Bandam, Lacs, N'Zi Comoé [Region: Cote D'Ivoire] 384005 Moyen Comoé [Region: Cote D'Ivoire] 384006 Montagnes, Moyen Cavally [Region: Cote D'Ivoire] 384008 Zanzan [Region: Cote D'Ivoire] 384009 Bas Sassandra [Region: Cote D'Ivoire] 384010 Denguele, Worodougou, Bafing [Region: Cote D'Ivoire] 384097 Abroad [Region: Cote D'Ivoire] 384098 Unknown [Region: Cote D'Ivoire] 384099 NIU [Region: Cote D'Ivoire] 300001 Etolia and Akarnania [Department: Greece] 300003 Viotia [Department: Greece] 300004 Evia [Department: Greece] 300005 Evrytania [Department: Greece] 300006 Fthiotida [Department: Greece] 300007 Fokida [Department: Greece] 300011 Argolida [Department: Greece] 300012 Arkadia [Department: Greece] 300013 Achaia [Department: Greece] 300014 Ilia [Department: Greece] 300015 Korinthia [Department: Greece] 300016 Lakonia [Department: Greece] 300017 Messinia [Department: Greece] 300021 Zakynthos [Department: Greece] 300022 Kerkyra [Department: Greece] 300023 Kefallinia [Department: Greece] 300024 Lefkada [Department: Greece] 300031 Arta [Department: Greece] 300032 Thesprotia [Department: Greece] 300033 Ioannina [Department: Greece] 300034 Preveza [Department: Greece] 300041 Karditsa [Department: Greece] 300042 Larissa [Department: Greece] 300043 Magnissia [Department: Greece] 300044 Trikala [Department: Greece] 300051 Grevena [Department: Greece] 300052 Drama [Department: Greece] 300053 Imathia [Department: Greece] 300054 Thessaloniki [Department: Greece] 300055 Kavala [Department: Greece] 300056 Kastoria [Department: Greece] 300057 Kilkis [Department: Greece] 300058 Kozani [Department: Greece] 300059 Pella [Department: Greece] 300061 Pieria [Department: Greece] 300062 Serres [Department: Greece] 300063 Florina [Department: Greece] 300064 Chalkidiki and Agion Oros [Department: Greece] 300071 Evros [Department: Greece] 300072 Xanthi [Department: Greece] 300073 Rodopi [Department: Greece] 300081 Dodekanissos [Department: Greece] 300082 Kyklades [Department: Greece] 300083 Lesvos [Department: Greece] 300084 Samos [Department: Greece] 300085 Chios [Department: Greece] 300091 Iraklio [Department: Greece] 300092 Lassithi [Department: Greece] 300093 Rethymno [Department: Greece] 300094 Chania [Department: Greece] 300101 Prefecture of Athens [Department: Greece] 300102 Prefecture of East Attiki [Department: Greece] 300103 Prefecture of West Attiki [Department: Greece] 300104 Prefecture of Pireas [Department: Greece] 300996 Foreign country [Department: Greece] 300997 Response suppressed [Department: Greece] 300998 Unknown [Department: Greece] 300999 NIU (not in universe) [Department: Greece] 372001 Dublin [Region: Ireland] 372002 Midlands [Region: Ireland] 372003 Mid-East, Border [Region: Ireland] 372004 Mid-West, South-East [Region: Ireland] 372006 West [Region: Ireland] 372008 South West [Region: Ireland] 372096 Ireland, region not specified [Region: Ireland] 372097 Abroad [Region: Ireland] 372098 Unknown [Region: Ireland] 372099 NIU (not in universe) [Region: Ireland] 380001 Piemonte, Valle d'Aosta [Region: Italy] 380003 Lombardia [Region: Italy] 380004 Trentino Alto Adige [Region: Italy] 380005 Veneto [Region: Italy] 380006 Friuli Venezia Giulia [Region: Italy] 380007 Liguria [Region: Italy] 380008 Emilia Romagna, Marche [Region: Italy] 380009 Toscana [Region: Italy] 380010 Umbria [Region: Italy] 380012 Lazio [Region: Italy] 380013 Abruzzo [Region: Italy] 380014 Molise [Region: Italy] 380015 Campania [Region: Italy] 380016 Puglia [Region: Italy] 380017 Basilicata [Region: Italy] 380018 Calabria [Region: Italy] 380019 Sicilia [Region: Italy] 380020 Sardegna [Region: Italy] 380097 Foregin Country [Region: Italy] 380099 NIU [Region: Italy] 404001 Nairobi [Province: Kenya] 404002 Central [Province: Kenya] 404003 Coast [Province: Kenya] 404004 Eastern [Province: Kenya] 404005 Northeastern [Province: Kenya] 404006 Nyanza [Province: Kenya] 404007 Rift Valley [Province: Kenya] 404008 Western [Province: Kenya] 404097 Abroad [Province: Kenya] 404098 Unknown [Province: Kenya] 404099 NIU (not in universe) [Province: Kenya] 454101 Chitipa [District: Malawi] 454102 Karonga [District: Malawi] 454103 Nkhata Bay, Likoma [District: Malawi] 454104 Rumphi [District: Malawi] 454105 Mzimba, Mzuzu City [District: Malawi] 454201 Kasungu [District: Malawi] 454202 Nkhotakota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe, Lilongwe City [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba, Zomba City [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre, Blantyre City [District: Malawi] 454306 Mwanza, Neno [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454309 Phalombe [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454312 Balaka [District: Malawi] 454997 Abroad [District: Malawi] 454998 Unknown [District: Malawi] 454999 NIU (not in universe) [District: Malawi] 508001 Niassa [Province: Mozambique] 508002 Cabo Delgado [Province: Mozambique] 508003 Nampula [Province: Mozambique] 508004 Zambézia [Province: Mozambique] 508005 Tete [Province: Mozambique] 508006 Manica [Province: Mozambique] 508007 Sofala [Province: Mozambique] 508008 Inhambane [Province: Mozambique] 508009 Gaza [Province: Mozambique] 508010 Maputo [Province: Mozambique] 508011 Cidade de Maputo [Province: Mozambique] 508097 Foreign Country [Province: Mozambique] 508098 Unknown [Province: Mozambique] 508099 NIU (not in universe) [Province: Mozambique] 598001 Western [Province: Papua New Guinea] 598002 Gulf [Province: Papua New Guinea] 598003 Central [Province: Papua New Guinea] 598004 National Capital District [Province: Papua New Guinea] 598005 Milne Bay [Province: Papua New Guinea] 598006 Northern [Province: Papua New Guinea] 598007 Southern Highlands, Hela [Province: Papua New Guinea] 598008 Enga [Province: Papua New Guinea] 598009 Western Highlands, Jiwaka [Province: Papua New Guinea] 598010 Chimbu [Province: Papua New Guinea] 598011 Eastern Highlands [Province: Papua New Guinea] 598012 Morobe [Province: Papua New Guinea] 598013 Madang [Province: Papua New Guinea] 598014 East Sepik [Province: Papua New Guinea] 598015 West Sepik [Province: Papua New Guinea] 598016 Manus [Province: Papua New Guinea] 598017 New Ireland [Province: Papua New Guinea] 598018 East New Britain [Province: Papua New Guinea] 598019 West New Britain [Province: Papua New Guinea] 598020 Autonomous Region of Bougainville [Province: Papua New Guinea] 598097 Foreign country [Province: Papua New Guinea] 598098 Unknown [Province: Papua New Guinea] 598099 NIU (not in universe) [Province: Papua New Guinea] 616002 Dolnośląskie [Vovoidship (Province): Poland] 616004 Kujawsko pomorskie [Vovoidship (Province): Poland] 616006 Lubelskie [Vovoidship (Province): Poland] 616008 Lubuskie [Vovoidship (Province): Poland] 616010 Łódzkie [Vovoidship (Province): Poland] 616012 Małopolskie [Vovoidship (Province): Poland] 616014 Mazowieckie [Vovoidship (Province): Poland] 616016 Opolskie [Vovoidship (Province): Poland] 616018 Podkarpackie [Vovoidship (Province): Poland] 616020 Podlaskie [Vovoidship (Province): Poland] 616022 Pomorskie [Vovoidship (Province): Poland] 616024 Śląskie [Vovoidship (Province): Poland] 616026 Świętokrzyskie [Vovoidship (Province): Poland] 616028 Warmińsko mazurskie [Vovoidship (Province): Poland] 616030 Wielkopolskie [Vovoidship (Province): Poland] 616032 Zachodniopomorskie [Vovoidship (Province): Poland] 616098 Unknown [Vovoidship (Province): Poland] 616099 NIU (not in universe) [Vovoidship (Province): Poland] 620111 Minho-Lima [Subregion: Portugal] 620112 Cávado [Subregion: Portugal] 620113 Ave [Subregion: Portugal] 620114 Grande Porto [Subregion: Portugal] 620115 Tâmega [Subregion: Portugal] 620116 Entre Douro e Vouga [Subregion: Portugal] 620117 Douro [Subregion: Portugal] 620118 Alto Trás-os-Montes [Subregion: Portugal] 620150 Algarve [Subregion: Portugal] 620161 Baixo Vouga [Subregion: Portugal] 620162 Baixo Mondego [Subregion: Portugal] 620163 Pinhal Litoral [Subregion: Portugal] 620165 Dão-Lafões [Subregion: Portugal] 620166 Oeste [Subregion: Portugal] 620167 Médio Tejo [Subregion: Portugal] 620169 Other Center [Subregion: Portugal] 620171 Grande Lisboa [Subregion: Portugal] 620172 Península de Setúbal [Subregion: Portugal] 620185 Lezíria do Tejo [Subregion: Portugal] 620189 Other Alentejo [Subregion: Portugal] 620200 Região Autónoma dos Açores [Subregion: Portugal] 620300 Região Autónoma da Madeira [Subregion: Portugal] 620998 Foreign country [Subregion: Portugal] 620999 NIU (not in universe) [Subregion: Portugal] 643001 Altai Krai [Region: Russia] 643003 Krasnodar Krai [Region: Russia] 643004 Krasnoyarsk Krai [Region: Russia] 643005 Primorsky Krai [Region: Russia] 643007 Stavropol Krai [Region: Russia] 643008 Khabarovsk Krai [Region: Russia] 643010 Amur Oblast [Region: Russia] 643011 Arkhangelsk Oblast [Region: Russia] 643012 Astrakhan Oblast [Region: Russia] 643013 Nenets Autonomous District 643014 Belgorod Oblast [Region: Russia] 643015 Bryansk Oblast [Region: Russia] 643017 Vladimir Oblast [Region: Russia] 643018 Volgograd Oblast [Region: Russia] 643019 Vologda Oblast [Region: Russia] 643020 Voronezh Oblast [Region: Russia] 643022 Nizhny Novgorod Oblast [Region: Russia] 643024 Ivanovo Oblast [Region: Russia] 643025 Irkutsk Oblast [Region: Russia] 643026 Republic of Ingushetia [Region: Russia] 643027 Kaliningrad Oblast [Region: Russia] 643028 Tver Oblast [Region: Russia] 643029 Kaluga Oblast [Region: Russia] 643030 Kamchatka Krai [Region: Russia] 643032 Kemerovo Oblast [Region: Russia] 643033 Kirov Oblast [Region: Russia] 643034 Kostroma Oblast [Region: Russia] 643036 Samara Oblast [Region: Russia] 643037 Kurgan Oblast [Region: Russia] 643038 Kursk Oblast [Region: Russia] 643040 City of Federal Importance St. Petersburg [Region: Russia] 643041 Leningrad Oblast [Region: Russia] 643042 Lipetsk Oblast [Region: Russia] 643044 Magadan Oblast [Region: Russia] 643045 City of Federal Importance Moscow [Region: Russia] 643046 Moscow Oblast [Region: Russia] 643047 Murmansk Oblast [Region: Russia] 643049 Novgorod Oblast [Region: Russia] 643050 Novosibirsk Oblast [Region: Russia] 643052 Omsk Oblast [Region: Russia] 643053 Orenburg Oblast [Region: Russia] 643054 Oryol Oblast [Region: Russia] 643056 Penza Oblast [Region: Russia] 643057 Perm Krai [Region: Russia] 643058 Pskov Oblast [Region: Russia] 643060 Rostov Oblast [Region: Russia] 643061 Ryazan Oblast [Region: Russia] 643063 Saratov Oblast [Region: Russia] 643064 Sakhalin Oblast [Region: Russia] 643065 Sverdlovsk Oblast [Region: Russia] 643066 Smolensk Oblast [Region: Russia] 643068 Tambov Oblast [Region: Russia] 643069 Tomsk Oblast [Region: Russia] 643070 Tula Oblast [Region: Russia] 643071 Tyumen Oblast [Region: Russia] 643072 Khanty-Mansi Autonomous District - Yugra [Region: Russia] 643073 Ulyanovsk Oblast [Region: Russia] 643074 Yamalo-Nenets Autonomous District [Region: Russia] 643075 Chelyabinsk Oblast [Region: Russia] 643076 Zabaykalsky Krai, Aginsky Buryat District [Region: Russia] 643077 Chukotka Autonomous Region [Region: Russia] 643078 Yaroslavskaya Oblast [Region: Russia] 643079 Republic of Adygea [Region: Russia] 643080 Republic of Bashkortostan [Region: Russia] 643081 Republic of Buryatia [Region: Russia] 643082 Republic of Dagestan [Region: Russia] 643083 Kabardino-Balkaria Republic [Region: Russia] 643084 Altai Republic [Region: Russia] 643085 Republic of Kalmykia [Region: Russia] 643086 Republic of Karelia [Region: Russia] 643087 Komi Republic [Region: Russia] 643088 Mari El Republic [Region: Russia] 643089 Republic of Mordovia [Region: Russia] 643090 Republic of North Ossetia-Alania [Region: Russia] 643091 Karachay-Cherkess Republic [Region: Russia] 643092 Republic of Tatarstan [Region: Russia] 643093 Tyva Republic [Region: Russia] 643094 Udmurtia Republic [Region: Russia] 643095 Republic of Khakassia [Region: Russia] 643096 Chechen Republic [Region: Russia] 643097 Chuvash Republic [Region: Russia] 643098 Republic of Sakha (Yakutia) [Region: Russia] 643099 Jewish Autonomous Region [Region: Russia] 643997 Foreign Country [Region: Russia] 643998 Unknown [Region: Russia] 643999 NIU [Region: Russia] 686001 Dakar [Region: Senegal] 686002 Ziguinchor [Region: Senegal] 686003 Diourbel [Region: Senegal] 686004 Saint Louis, Louga, Matam [Region: Senegal] 686005 Tambacounda, Kedougou [Region: Senegal] 686006 Kaolack, Fatick, Kaffrine [Region: Senegal] 686007 Thiès [Region: Senegal] 686010 Kolda, Sedhiou [Region: Senegal] 686097 Abroad [Region: Senegal] 686099 NIU (not in universe) [Region: Senegal] 724011 Galicia [Communities & autonomous city: Spain] 724012 Principado de Asturias [Communities & autonomous city: Spain] 724013 Cantabria [Communities & autonomous city: Spain] 724021 País Vasco [Communities & autonomous city: Spain] 724022 Comunidad Foral de Navarra [Communities & autonomous city: Spain] 724023 La Rioja [Communities & autonomous city: Spain] 724024 Aragón [Communities & autonomous city: Spain] 724030 Comunidad de Madrid [Communities & autonomous city: Spain] 724041 Castilla y León [Communities & autonomous city: Spain] 724042 Castilla-La Mancha [Communities & autonomous city: Spain] 724043 Extremadura [Communities & autonomous city: Spain] 724051 Cataluña [Communities & autonomous city: Spain] 724052 Comunidad Valenciana [Communities & autonomous city: Spain] 724053 Islas Baleares [Communities & autonomous city: Spain] 724061 Andalucía [Communities & autonomous city: Spain] 724062 Región de Murcia [Communities & autonomous city: Spain] 724063 Ciudad Autónoma de Ceuta [Communities & autonomous city: Spain] 724064 Ciudad Autónoma de Melilla [Communities & autonomous city: Spain] 724070 Canarias [Communities & autonomous city: Spain] 724097 Foreign country [Communities & autonomous city: Spain] 724999 NIU (not in universe) [Communities & autonomous city: Spain] 728011 Northern [State:South Sudan] 728012 Nahr El Nil [State:South Sudan] 728021 Red Sea [State:South Sudan] 728022 Kassala [State:South Sudan] 728023 Al Gedarif [State:South Sudan] 728031 Khartoum [State:South Sudan] 728041 Al Gezira [State:South Sudan] 728042 White Nile [State:South Sudan] 728043 Sinnar [State:South Sudan] 728044 Blue Nile [State:South Sudan] 728051 North Kordofan [State:South Sudan] 728052 South Kordofan [State:South Sudan] 728061 North Darfur [State:South Sudan] 728062 West Darfur [State:South Sudan] 728063 South Darfur [State:South Sudan] 728071 Upper Nile [State: South Sudan] 728072 Jonglei [State: South Sudan] 728073 Unity [State: South Sudan] 728081 Warrap [State: South Sudan] 728082 Northern Bahr El Ghazal [State: South Sudan] 728083 Western Bahr El Ghazal [State: South Sudan] 728084 Lakes [State: South Sudan] 728091 Western Equatoria [State: South Sudan] 728092 Central Equatoria [State: South Sudan] 728093 Eastern Equatoria [State: South Sudan] 728098 Abroad [State: South Sudan] 728099 NIU (Not in universe) [State: South Sudan] 729011 Northern [State: Sudan] 729012 Nahr El Nil [State: Sudan] 729021 Red Sea [State: Sudan] 729022 Kassala [State: Sudan] 729023 Al Gedarif [State: Sudan] 729031 Khartoum [State: Sudan] 729041 Al Gezira [State: Sudan] 729042 White Nile [State: Sudan] 729043 Sinnar [State: Sudan] 729044 Blue Nile [State: Sudan] 729051 North Kordofan [State: Sudan] 729052 South Kordofan [State: Sudan] 729061 North Darfur [State: Sudan] 729062 West Darfur [State: Sudan] 729063 South Darfur [State: Sudan] 729071 Upper Nile [State: Sudan] 729072 Jonglei [State: Sudan] 729073 Unity [State: Sudan] 729081 Warrap [State: Sudan] 729082 Northern Bahr El Ghazal [State: Sudan] 729083 Western Bahr El Ghazal [State: Sudan] 729084 Lakes [State: Sudan] 729091 Western Equatoria [State: Sudan] 729092 Central Equatoria [State: Sudan] 729093 Eastern Equatoria [State: Sudan] 729098 Abroad [State: Sudan] 780010 Port of Spain [Region: Trinidad and Tobago] 780020 San Fernando [Region: Trinidad and Tobago] 780080 Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] Diego Martin, San Juan/Laventille, Tunapuna/Piarco, Chaguanas, Sangre Grande, Couva/Tabaquite /Talparo, Rio Claro/Mayaro, Siparia, Penal/Debe, Princess Town, Port Fontin, Caroni, St. Andrew/St. David, Victoria, St. Patrick, Arima [Region: Trinidad and Tobago] 780094 St. Paul, St. Mary, St. David, St. George, St. Patrick, St. Andrew, St. John, Tobago [Region: Trinidad and Tobago] 780098 Unknown [Region: Trinidad and Tobago] 780099 NIU (not in universe) [Region: Trinidad and Tobago] 826101 North East [Region: United Kingdom] 826102 North West [Region: United Kingdom] 826103 Yorkshire and the Humber [Region: United Kingdom] 826104 East Midlands [Region: United Kingdom] 826105 West Midlands [Region: United Kingdom] 826106 East of England [Region: United Kingdom] 826107 South East [Region: United Kingdom] 826108 South West [Region: United Kingdom] 826110 Outer London, Inner London [Region: United Kingdom] 826111 Scotland [Region: United Kingdom] 826112 Wales [Region: United Kingdom] 826113 Northern Ireland [Region: United Kingdom] 826197 Other country [Region: United Kingdom] 826198 Unknown [Region: United Kingdom] 826199 NIU (not in universe) [Region: United Kingdom] 834001 Dodoma [Region: Tanzania] 834002 Arusha, Manyara [Region: Tanzania] 834003 Kilimanjaro [Region: Tanzania] 834004 Tanga [Region: Tanzania] 834005 Morogoro [Region: Tanzania] 834006 Pwani [Region: Tanzania] 834007 Dar es Salaam [Region: Tanzania] 834008 Lindi [Region: Tanzania] 834009 Mtwara [Region: Tanzania] 834010 Ruvuma [Region: Tanzania] 834011 Iringa, Njombe [Region: Tanzania] 834012 Mbeya [Region: Tanzania] 834013 Singida [Region: Tanzania] 834014 Tabora [Region: Tanzania] 834015 Katavi, Rukwa [Region: Tanzania] 834016 Kigoma [Region: Tanzania] 834019 Geita, Kagera, Mwanza, Shinyanga, Simiyu [Region: Tanzania] 834020 Mara [Region: Tanzania] 834051 Zanzibar North [Region: Tanzania] 834052 Zanzibar South [Region: Tanzania] 834053 Zanzibar Town/West [Region: Tanzania] 834054 Pemba North [Region: Tanzania] 834055 Pemba South [Region: Tanzania] 834097 Abroad [Region: Tanzania] 834098 Unknown [Region: Tanzania] 834099 NIU (not in universe) [Region: Tanzania] 840001 Alabama [State: United States] 840002 Alaska [State: United States] 840004 Arizona [State: United States] 840005 Arkansas [State: United States] 840006 California [State: United States] 840008 Colorado [State: United States] 840009 Connecticut [State: United States] 840010 Delaware [State: United States] 840011 District of Columbia [State: United States] 840012 Florida [State: United States] 840013 Georgia [State: United States] 840015 Hawaii [State: United States] 840016 Idaho [State: United States] 840017 Illinois [State: United States] 840018 Indiana [State: United States] 840019 Iowa [State: United States] 840020 Kansas [State: United States] 840021 Kentucky [State: United States] 840022 Louisiana [State: United States] 840023 Maine [State: United States] 840024 Maryland [State: United States] 840025 Massachusetts [State: United States] 840026 Michigan [State: United States] 840027 Minnesota [State: United States] 840028 Mississippi [State: United States] 840029 Missouri [State: United States] 840030 Montana [State: United States] 840031 Nebraska [State: United States] 840032 Nevada [State: United States] 840033 New Hampshire [State: United States] 840034 New Jersey [State: United States] 840035 New Mexico [State: United States] 840036 New York [State: United States] 840037 North Carolina [State: United States] 840038 North Dakota [State: United States] 840039 Ohio [State: United States] 840040 Oklahoma [State: United States] 840041 Oregon [State: United States] 840042 Pennsylvania [State: United States] 840044 Rhode Island [State: United States] 840045 South Carolina [State: United States] 840046 South Dakota [State: United States] 840047 Tennessee [State: United States] 840048 Texas [State: United States] 840049 Utah [State: United States] 840050 Vermont [State: United States] 840051 Virginia [State: United States] 840053 Washington [State: United States] 840054 West Virginia [State: United States] 840055 Wisconsin [State: United States] 840056 Wyoming [State: United States] 840097 Abroad [State: United States] 840999 NIU (not in universe) [State: United States] 894001 Central [Province: Zambia] 894002 Copperbelt [Province: Zambia] 894003 Eastern, Muchinga, Northern [Province: Zambia] 894004 Luapula [Province: Zambia] 894005 Lusaka [Province: Zambia] 894008 North Western [Province: Zambia] 894009 Southern [Province: Zambia] 894010 Western [Province: Zambia] 894097 Foreign country [Province: Zambia] 894098 Unknown [Province: Zambia] 894099 NIU (not in universe) [Province: Zambia] Migration: Global Variables -- PERSON Years residing in current locality MIGYRS1 indicates how many years the person has resided in their current locality of residence. 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Province of residence 1 year ago, Kenya; consistent boundaries, GIS MIG1_1_KE indicates the person's province of residence within Kenya 1 year ago. 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. 404001 Nairobi 404002 Central 404003 Coast 404004 Eastern 404005 Northeastern 404006 Nyanza 404007 Rift Valley 404008 Western 404097 Abroad 404098 Unknown 404099 NIU (not in universe) Migration: F-N Variables -- PERSON District of residence 1 year ago, Kenya; consistent boundaries, GIS MIG2_1_KE indicates the person's district of residence in Kenya 1 year ago. Migration district codes from MIG2_1_KE are compatible with codes from GEO2_KE. 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. 404001047 Nairobi City 404002018 Nyandarua 404002019 Nyeri 404002020 Kirinyaga 404002022 Kiambu, Murang'a 404002099 Central Province, unknown district 404003001 Mombasa 404003002 Kwale 404003003 Kilifi 404003004 Tana River 404003005 Lamu 404003006 Taita-Taveta 404003099 Coast Province, unknown district 404004010 Marsabit 404004011 Isiolo 404004012 Meru, Tharaka-Nithi 404004015 Kitui 404004016 Machakos, Makueni, Embu 404004099 Eastern Province, unknown district 404005007 Garissa 404005008 Wajir 404005009 Mandera 404005099 Northeastern Province, unknown district 404006041 Siaya 404006042 Kisumu 404006043 Homa Bay, Migori 404006045 Kisii, Nyamira 404006099 Nyanza Province, unknown district 404007023 Turkana 404007024 West Pokot 404007025 Samburu 404007026 Trans Nzoia 404007027 Uasin Gishu 404007028 Elgeyo-Marakwet 404007029 Nandi 404007030 Baringo, Laikipia 404007032 Nakuru 404007033 Narok 404007034 Kajiado 404007035 Kericho, Bomet 404007099 Rift Valley Province, unknown district 404008037 Kakamega, Vihiga 404008039 Bungoma 404008040 Busia 404008099 Western Province, unknown district 404097097 Abroad 404098098 Unknown 404099099 NIU (not in universe) Migration: F-N Variables -- PERSON Employment disability DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Relationship to head of household <svar v="KE99A401" a="all">P-10. Relationship<br /><br />What is [the respondent's] relationship of to the head of household?<br /><div class="i1">[] 1. Head<br />[] 2. Spouse<br />[] 3. Son<br />[] 4. Daughter<br />[] 5. Brother/sister<br />[] 6. Father/mother<br />[] 7. Other relative<br />[] 8. Non-relative<br />[] 9. Not stated/don't know</div><br /></svar> <svar v="KE99A401 KE99A402" a="all">Columns P10 and 11: Relationship and sex<br /><br />62. As you write-the names in column P00, code relationship in column P10 and sex in column P11. You will save yourself trouble by doing this.<br /><br />(a) For example: for head, code "1" in P10 and tick the appropriate box in P11 as far as sex is concerned. Then code the relationship of each person to the head, that is "2" for spouse, "3" for son, "4" for daughter, "5" for brother/sister, "6" for father/mother, "7" for other relatives such as nieces, nephews, grandsons, etc., "8" for non-relatives such as visitors, friends etc., and "9" for those who cannot be categorized as above, not stated or don't know.<br /><br />(b) 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 "7" (other-relative) or "8" (nonrelative).<br /><br />(c) There are several persons who are not related by blood or marriage but constitute a household, mostly in urban areas. Without telling them code one of them as 'head', (code "1") and the rest as 'non-relative' (code "8").<br /><br />(d) Sometimes it may happen that members of the household are away and cannot be reached even after three visits, and the most responsible person you meet is a house help or any other such person employed by the household. You must probe to establish the most senior member who will have spent the census night in the household. This person must be made the household head. You may then proceed to ask the house help to provide information on the household members.<br /><br />(e) There are certain communities where women are culturally allowed to "marry" other women. For purposes of the census, marriage should involve only partners of opposite sex. Whenever you encounter such cases where one woman (supposedly the head of the household) claims that another woman is her "spouse" code "7" (other-relative) rather than "2" (spouse) in P10.<br /><br />(f) Make sure you understand the relationship before you make any entry, and that the entry is strictly and legibly written within the boxes provided.<br /><br />63. 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. 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. Blanks and "don't know" are strictly forbidden. <br /></svar> Kenya 1999: All persons This variable indicates the relationship to the household head. 1 Head 2 Spouse 3 Son 4 Daughter 5 Sibling 6 Parent 7 Other relative 8 Non-relative 9 Unknown Demographic Variables -- PERSON Sex <svar v="KE99A402 KE99A440" a="all">P-11. Sex:<br /><br />What is [the respondent's] sex?<br />(Mark X in the appropriate box)<br /><div class="i1">[] Male<br />[] Female</div><br /></svar> <svar v="KE99A401 KE99A402" a="all">Columns P10 and 11: Relationship and sex<br /><br />62. As you write-the names in column P00, code relationship in column P10 and sex in column P11. You will save yourself trouble by doing this.<br /><br />(a) For example: for head, code "1" in P10 and tick the appropriate box in P11 as far as sex is concerned. Then code the relationship of each person to the head, that is "2" for spouse, "3" for son, "4" for daughter, "5" for brother/sister, "6" for father/mother, "7" for other relatives such as nieces, nephews, grandsons, etc., "8" for non-relatives such as visitors, friends etc., and "9" for those who cannot be categorized as above, not stated or don't know.<br /><br />(b) 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 "7" (other-relative) or "8" (nonrelative).<br /><br />(c) There are several persons who are not related by blood or marriage but constitute a household, mostly in urban areas. Without telling them code one of them as 'head', (code "1") and the rest as 'non-relative' (code "8").<br /><br />(d) Sometimes it may happen that members of the household are away and cannot be reached even after three visits, and the most responsible person you meet is a house help or any other such person employed by the household. You must probe to establish the most senior member who will have spent the census night in the household. This person must be made the household head. You may then proceed to ask the house help to provide information on the household members.<br /><br />(e) There are certain communities where women are culturally allowed to "marry" other women. For purposes of the census, marriage should involve only partners of opposite sex. Whenever you encounter such cases where one woman (supposedly the head of the household) claims that another woman is her "spouse" code "7" (other-relative) rather than "2" (spouse) in P10.<br /><br />(f) Make sure you understand the relationship before you make any entry, and that the entry is strictly and legibly written within the boxes provided.<br /><br />63. 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. 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. Blanks and "don't know" are strictly forbidden. <br /></svar> Kenya 1999: All persons This variable indicates the gender of the individual. 1 Male 2 Female Demographic Variables -- PERSON Age <svar v="KE99A403 KE99A441" a="all">P-12. Age: ____<br /><br />How old is [the respondent]? (Record age in completed years using two digits. If under one year, write '00')<br /></svar> <svar v="KE99A403" a="all">Column P12: Age<br /><br />64. 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.<br /><br />65. How old is this person?'<br /><br />(a) 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. 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 00. Use two digits in completing age; e.g. "01", "02" etc. Persons aged 97 years and over should be coded "97". Make sure always that your writing is legible and within the appropriate box.<br /><br />(b) Be careful not to round ages up to the next birthday. A child who is aged four years and eleven months should, for example be entered as "04" and not "05".<br /><br />(c) Many people do not know their ages. If a person's age is not known, you must make the best estimate possible. The use of 'dk' in this column is strictly forbidden.<br /><br />(d) 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.<br /><br />(e) Most people have identity cards showing when they were born. These ID cards may be grossly inaccurate for people aged above 40. Avoid using the IDs as the sole means to estimate such a person's age. However, for persons below 40 years of age the ID cards may generally give a more accurate representation of age.<br /><br />(f) Generally, it is not so easy to estimate age for members of the household if all of them are ignorant of their ages. Concentrate first on establishing the age(s) of one or two persons in the household. One reliable age may help in working out the ages of others if it is known whether they are older or younger and by how many years. '<br /><br />(g) It is sometimes possible to estimate a person's age by relating his or her birth to some notable historical event. With these instructions is a historical calendar of events (see Appendix 2) which lists the dates of events in the history of each district. If the person can remember how old he/she was at the time of the event, you can work out the person's age.<br /><br />66. How to use the historical calendar of events to estimate the respondent's age<br /><br />(a) <br />(i) Ask for any historical event (national or local) which occurred around the time of the birth/childhood of the respondent.<br /><br />(ii) Ask how old the respondent was when that event occurred or how many years elapsed before his/her birth.<br /><br />(iii) Then use this information to work out his/her age. For example, if a respondent was about 15 years when Kenya attained her Independence, this person should be 15 + 35 (i.e. 12th Dec.1963 to 23rd, August 1999) = 50 years. If this method fails, you should try the following approach.<br /><br />(b) <br />(i) Simply estimate how old he/she may be.<br />(ii) Then select from your list of local, or district historical events, some events which occurred about the time when according to your estimate, he/she must have been born.<br /><br />(iii) Ask whether he/she has heard about any of those events.<br /><br />(iv) If he/she has, ask him/her to give you an indication of how old he/she was when this event occurred or how many years elapsed before he/she was born.<br /><br />(v) Then, from this information, work out his/her age.<br /><br />67. Some tribes have systems of 'age grades' or 'age sets' from which a person's age can be worked out. A person's age grade may only give a rough idea of his or her age since the same grade may have in it people of widely different ages, but it is better than nothing. Some tribes have grades for men but not for women, but you can often obtain an idea of a woman's age by asking which age grade of men she associated with, or which her brothers belonged to and whether they are older or younger. Some age grades are listed in the calendar of events. You can inquire about others from chiefs and elders.<br /><br />68. If all else fails, then base your estimate on biological relationships. For instance, a woman who does not know her age but who has two or three children of her own is unlikely to be less than 15 years old however small she may look. You may then try to work out her age by the following methods:<br /><br />(a) Determine the age of her oldest child.<br /><br />(b) Ask her to give an estimate of her age at the birth of this child. However without further probing, you should not base your assumption on the oldest child who is presently living. There is the likelihood that in certain cases, the first child died or that the woman had miscarriages or stillbirths. Therefore, if the woman tells you that she had one miscarriage or stillbirth before the oldest living child was born, you should make your estimation from the year of the first miscarriage/still-birth or live birth.<br /><br />69. Note that some women do have children earlier than what generally obtains in the community. Therefore, in every case, you must find out whether she had her first child, miscarriage or stillbirth at the usual age before you estimate her age.<br /><br />70. Only as a last resort should you estimate a person's age from his physical features. If you are obtaining information about an absent person from a third party then rely on the information given to you to estimate the absent person's age.<br /><br />71. When you have arrived at the best estimate you can make of a person's age, check that it is compatible with his or her relationship to others in the household. Obviously children cannot be older than their parents, women seldom marry before they are 12 and men before they are 18, and so on.<br /><br />72. Note that any estimate of age, however rough, is better than 'dk' in this column. Do the best you can to report ages accurately.<br /></svar> Kenya 1999: All persons This variable indicates the age of the individual. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97+ Demographic Variables -- PERSON Marital status <svar v="KE99A406 KE99A442" a="all">P-15. Marital status:<br /><br />What is [the respondent's] marital status?<br /><div class="i1">[] 1. Never married<br />[] 2. Monogamous<br />[] 3. Polygamous<br />[] 4. Widowed<br />[] 5. Divorced<br />[] 6. Separated<br />[] 7. Not stated/don't know</div><br /></svar> <svar v="KE99A406" a="all">Column P15: Marital status<br />75. Is this person monogamously or polygamously married, widowed, divorced or separated, or never married?<br /><br />(a) Persons who have never been married including young children should be coded "1" (never married).<br /><br />(b) People who regard themselves as husband and wife should be coded "2" or "3" regardless of whether or not they have been through any civil, religious or customary ceremonies. The census is not trying to find out who is legally married and who is not. Accept the answer as it is given to you<br /><br />(c) If a person is widowed at the time of the Census, he/she should be coded as "4", i.e. widowed. If a person has been widowed but -has since remarried, he/she should be coded as married ("2" or "3" as the case may be).<br /><br />(d) If people think of themselves as divorced or separated, code them as such. It does not matter whether they have been to court or gone through other formalities. Accept the answer as it is given to you.<br /><br />(e) Accept what people say about their marital status. Do not embarrass yourself or the respondent by inquiring into the nature of marriage or divorce.<br /></svar> Kenya 1999: All persons This variable indicates the marital status of the individual. 1 Never married 2 Monogamous 3 Polygamous 4 Widowed 5 Divorced 6 Separated Demographic Variables -- PERSON Place of birth <svar v="KE99A408" a="all">P-16. Birth place:<br /><br />Where was [the respondent] born? ____<br /><div class="i1">Indicate district code if in Kenya or country if born outside Kenya. Mark X in the box if the same district as household district.</div><br /></svar> <svar v="KE99A408" a="all">Column P16: Birthplace<br /><br />76. Where was this person born? 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 Kiambu district moves to Nairobi to deliver her child, it will be assumed that the woman went to Nairobi purposely for maternity services. Thus the district of birth of the child will be recorded as Kiambu.<br /><br />(a) For persons born in Kenya, code district using the list provided on the back side of the form cover. For example, for a person born in Kiambu code "201" and for a person born in Tharaka code "412".<br /><br />(b) If the district of birth is the same as the district of enumeration, mark an "X" in the smallest box in column P16, and leave the other three bigger boxes blank.<br /><br />(c) Relate the person's birthplace to the present district's frontiers as far as possible. District boundaries have been changed over the years and we want to relate a person's place of birth to the district as it is constituted now.<br /><br />(d) For districts that have been split, probe to find the actual district of birth and code the name by which it is currently known.<br /><br />(e) For persons born outside Kenya, code the country of birth. For example, a person born in Tanzania will be coded "002", Uganda "001", Somalia "004", American countries "096" etc.<br /><br />(f) Code "888" if district of birth is not known and "999" for not stated<br /></svar> Kenya 1999: All persons This variable indicates the place of birth. 001 Uganda 002 Tanzania 003 Ethiopia 004 Somalia 005 Sudan 006 Other Africa 009 Kenya 101 Nairobi 201 Kiambu 202 Karingyaga 203 Muranga 204 Nyandarua 205 Nyeri 206 Thika 207 Maragua 301 Kilifi 302 Kwale 303 Lamu 304 Mombasa 305 Taita Taveta 306 Tana River 307 Malindi 401 Embu 402 Isiolo 403 Kitui 404 Makueni 405 Machakos 406 Marsabit 407 Mbeere 408 Meru Central 409 Moyale 410 Mwingi 411 Meru North 412 Tharaka 413 Meru South 501 Garissa 502 Mandera 503 Majir 601 South Kisii 602 Homa Bay 603 Central Kisii 604 Kisumu 605 Kuria 606 Migori 607 North Kisii 608 Rachuonyo 609 Siaya 610 Suba 611 Bondo 612 Nyando 701 Baringo 702 Bomet 703 Keiyo 704 Kajiado 705 Kericho 706 Koibetek 707 Laikipia 708 Marakwet 709 Naruku 710 Nandi 711 Narok 712 Samburu 713 Trans Mara 714 Trans Nzoia 715 Turkana 716 Uasin Gishu 717 West Pokot 718 Buret 801 Bungoma 802 Busia 803 Mt. Elgon 804 Kakamega 805 Lugari 806 Teso 807 Vihiga 808 Butere/Mumias Nativity and Birthplace Variables -- PERSON Previous residence <svar v="KE99A410" a="all">P-17. Previous residence:<br /><br />Where was [the respondent] living in August 1998? ____<br /><div class="i1">Indicate district code if in Kenya or Country code if outside Kenya. (If aged under 1 year, write "000"). Mark X in the box if the same district as household district.</div><br /></svar> <svar v="KE99A410" a="all">Column P17: Previous residence<br /><br />77. Where was this person living in August 1998? This question is applicable only to persons aged one year and above.<br /><br />(a) If the person is aged below one year, code "000" in this column.<br /><br />(b) For persons who were living in Kenya in August 1998, indicate the district code in column P17. For example persons whose previous residence is Kisii Central code "603".<br /><br />(c) For districts which have been split, probe to find the actual district of residence in August 1998 and code the name by which it is currently known.<br /><br />(d) Mark an "X" in the smallest box and leave the bigger three boxes blank if district of previous residence is the same as the district of enumeration.<br /><br />(e) 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 in August, 1998.<br /><br />(f) It is necessary to make a separate enquiry for each member of the household because a man, for instance, does not always take his wife and children along when he goes away to work. He may only have some of his family with him leaving the others behind.<br /><br />(g) If the person was living in another country in August 1998, 'use the code pertaining to the specific country.<br /><br />(h) Code "888" if district of previous residence is not known and' "999" for not stated.<br /></svar> Kenya 1999: Persons age 1+ [discrepancies: none] This variable indicates the previous residence in August 1998. This variable applies only to persons age one year and above. 001 Uganda 002 Tanzania 003 Ethiopia 004 Somalia 005 Sudan 006 Other Africa 009 Kenya 101 Nairobi 201 Kiambu 202 Karingyaga 203 Muranga 204 Nyandarua 205 Nyeri 206 Thika 207 Maragua 301 Kilifi 302 Kwale 303 Lamu 304 Mombasa 305 Taita Taveta 306 Tana River 307 Malindi 401 Embu 402 Isiolo 403 Kitui 404 Makueni 405 Machakos 406 Marsabit 407 Mbeere 408 Meru Central 409 Moyale 410 Mwingi 411 Meru North 412 Tharaka 413 Meru South 501 Garissa 502 Mandera 503 Majir 601 South Kisii 602 Homa Bay 603 Central Kisii 604 Kisumu 605 Kuria 606 Migori 607 North Kisii 608 Rachuonyo 609 Siaya 610 Suba 611 Bondo 612 Nyando 701 Baringo 702 Bomet 703 Keiyo 704 Kajiado 705 Kericho 706 Koibetek 707 Laikipia 708 Marakwet 709 Naruku 710 Nandi 711 Narok 712 Samburu 713 Trans Mara 714 Trans Nzoia 715 Turkana 716 Uasin Gishu 717 West Pokot 718 Buret 801 Bungoma 802 Busia 803 Mt. Elgon 804 Kakamega 805 Lugari 806 Teso 807 Vihiga 808 Butere/Mumias 999 NIU (not in universe) Migration: Global Variables -- PERSON Month moved to current residence <svar v="KE99A411 KE99A412" a="all">Duration of residence:<br /><br />When did [the respondent] move to this district?<br /><div class="i1">Code "00" in P-18 and P-19 if enumerated in district of birth. Write "99" in P-18 and P-19 if not known.<br /><br />P-18. Month ____<br />P-19. Year ____</div><br /></svar> <svar v="KE99A411 KE99A412" a="all">Columns P18-19: Duration of residence<br /><br />78. When did this person move to this district? This question is applicable to all persons enumerated outside their district of birth.<br /><br />(a) Record the month in P18 (e.g."05" for May) and year in P19 (e.g. "97" for 1997). 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.<br /><br />(b) For all persons enumerated in their district of birth, write "00" in the boxes in columns p18-19.<br /><br />(c) Write "99" in the boxes in columns P18-19 if the date one moved is not known or not stated.<br /></svar> Kenya 1999: Persons enumerated outside their district of birth [discrepancies: none] This variable indicates the month when the person moved to his/her current residence. 00 NIU (not in universe) 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 Unknown Migration: Global Variables -- PERSON Year moved to current residence <svar v="KE99A411 KE99A412" a="all">Duration of residence:<br /><br />When did [the respondent] move to this district?<br /><div class="i1">Code "00" in P-18 and P-19 if enumerated in district of birth. Write "99" in P-18 and P-19 if not known.<br /><br />P-18. Month ____<br />P-19. Year ____</div><br /></svar> <svar v="KE99A411 KE99A412" a="all">Columns P18-19: Duration of residence<br /><br />78. When did this person move to this district? This question is applicable to all persons enumerated outside their district of birth.<br /><br />(a) Record the month in P18 (e.g."05" for May) and year in P19 (e.g. "97" for 1997). 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.<br /><br />(b) For all persons enumerated in their district of birth, write "00" in the boxes in columns p18-19.<br /><br />(c) Write "99" in the boxes in columns P18-19 if the date one moved is not known or not stated.<br /></svar> Kenya 1999: Persons enumerated outside their district of birth [discrepancies: none] This variable indicates the year when the person moved to his/her current residence. 00 NIU (not in universe) 19 1919 or earlier 20 1920 21 1921 22 1922 23 1923 24 1924 25 1925 26 1926 27 1927 28 1928 29 1929 30 1930 31 1931 32 1932 33 1933 34 1934 35 1935 36 1936 37 1937 38 1938 39 1939 40 1940 41 1941 42 1942 43 1943 44 1944 45 1945 46 1946 47 1947 48 1948 49 1949 50 1950 51 1951 52 1952 53 1953 54 1954 55 1955 56 1956 57 1957 58 1958 59 1959 60 1960 61 1961 62 1962 63 1963 64 1964 65 1965 66 1966 67 1967 68 1968 69 1969 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 80 1980 81 1981 82 1982 83 1983 84 1984 85 1985 86 1986 87 1987 88 1988 89 1989 90 1990 91 1991 92 1992 93 1993 94 1994 95 1995 96 1996 97 1997 98 1998 or later 99 Unknown Migration: Global Variables -- PERSON Father alive Ophanhood:</p> <p>P-20. Is [the respondent's] father alive?</p> <div class="i1">Mark X in the appropriate box<br /> <br />[] Y Yes<br />[] N No<br />[] DK Don't know</div> <svar v="KE99A413 KE99A414 KE99A443 KE99A444" a="all">Columns P20-21: Orphanhood<br /><br />79. "Is this person's father/mother alive?"<br /><br />(a) Tick the box under the appropriate column in respect of the survival status of the respondent's biological father and mother. 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.<br /><br />(b) In some cases, a child's father/mother may not be married or living with the mother/father. In this case the mother/father might report that she/he does not know whether the father/mother of her child is alive or dead. In this case mark an "X" in the box for 'don't know'. You must always probe to ensure you obtain the most satisfactory answer.<br /></svar> Kenya 1999: All persons This variable indicates whether the person's father is alive or not. 1 Alive 2 Not alive Fertility and Mortality Variables -- PERSON Mother alive Ophanhood:</p> <p>P-21. Is [the respondent's] mother alive?</p> <div class="i1">Mark X in the appropriate box<br /> <br />[] Y Yes<br />[] N No<br />[] DK Don't know</div> <svar v="KE99A413 KE99A414 KE99A443 KE99A444" a="all">Columns P20-21: Orphanhood<br /><br />79. "Is this person's father/mother alive?"<br /><br />(a) Tick the box under the appropriate column in respect of the survival status of the respondent's biological father and mother. 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.<br /><br />(b) In some cases, a child's father/mother may not be married or living with the mother/father. In this case the mother/father might report that she/he does not know whether the father/mother of her child is alive or dead. In this case mark an "X" in the box for 'don't know'. You must always probe to ensure you obtain the most satisfactory answer.<br /></svar> Kenya 1999: All persons This variable indicates whether the person's mother is alive or not. 1 Alive 2 Not alive Fertility and Mortality Variables -- PERSON School attendance <svar v="KE99A415 KE99A416 KE99A417 KE99A418"><span class="h2">B. Information regarding persons aged 5 years and above:</span><br /><br />Education:<br /></svar></p> <p><svar v="KE99A415" a="all">P-22. What is the school attendance status of [the respondent]?<br /><div class="i1">[] 1. At school<br />[] 2. Left school<br />[] 3. Never went to school<br />[] 4. Not stated/don't know<br />[] 0. Under 5 years</div><br /></svar> <svar v="KE99A415 KE99A416 KE99A417">Columns P22, 23 and 24: Education<br /><br />80. The questions on education are applicable to persons aged 5 years and over. They refer to full-time education at formal educational institutions i.e. pre-primary, primary, secondary, and university.<br /></svar></p> <p><svar v="KE99A415" a="all">Column P22: School attendance<br /><br />81. Has this person ever attended school? Record "1" for persons attending school this year, "2" for persons who have ever been to school and have left school, "3" for persons who have never been to school, and "4" for persons whose schooling status is not known. Write "0" if the respondent is aged under five.<br /></svar> Kenya 1999: Persons age 5+ [discrepancies: none] This variable indicates the school attendance status: whether the individual is at school, left school or never went to school. 0 NIU (not in universe) 1 Currently attending 2 Left school 3 Never attended school Education Variables -- PERSON Education level reached <svar v="KE99A415 KE99A416 KE99A417 KE99A418"><span class="h2">B. Information regarding persons aged 5 years and above:</span><br /><br />Education:<br /></svar></p> <p><svar v="KE99A416" a="all">P-23. What is the highest level reached by [the respondent]? ____<br /><div class="i1">Write the appropriate code using the categories shown inside the front cover. [Use] code 97 if P-22 = 3</div><br /></svar> <svar v="KE99A415 KE99A416 KE99A417">Columns P22, 23 and 24: Education<br /><br />80. The questions on education are applicable to persons aged 5 years and over. They refer to full-time education at formal educational institutions i.e. pre-primary, primary, secondary, and university.<br /></svar></p> <p>Column P23: Highest level of education reached</p> <p>82. What is the highest level of education this person has reached? Code in column P23 the highest level of formal education the person has reached i.e. class, form, University, the person has reached. If a person reached standard 4 and dropped out of school before completing it, he/she should be coded "04", etc. Refer to the code list on the cover page of the questionnaire.</p> <p>Column P24: Highest level of education completed</p> <p>83. What is the highest class or form this person has completed? If a person was at school and left before completing standard 4 he/she should be coded as having completed standard 3 hence code "03". If a person is at school and is attending standard 4 he/she should be coded as having completed standard 3 hence code "03". Refer to the code list on the cover page of the questionnaire.</p> <p>84. The simple rule here is that for all persons attending school this year the highest level completed should be one level lower than the highest level reached. And for persons not attending school this year the highest level completed may be the same as the Highest Level Reached or one level below it, but not greater.</p> <p>85. For example: record the highest class or form the person has completed in the formal primary and secondary school system e.g. a person in form one will have completed standard 8 and therefore should be coded as having completed standard 8, while those who have completed form one should be coded "11 ".1</p> <p>(a) If a person has sat for 'O' level or 'A' level exams, through correspondence courses etc., that is, the person has not gone to formal school to achieve these certificates, code his/her highest level of education according to the highest exam he/she has sat and passed e.g. code "14" for 'O' level passed exams etc.</p> <p>(b) If the person has attended university but never completed or is currently attending under-graduate studies code "17": If the person has completed under-graduate and above, code "18". Kenya 1999: Persons age 5+ [discrepancies: none] This variable indicates the highest academic level reached by the individual. 00 Standard 1, incomplete 01 Standard 1 02 Standard 2 03 Standard 3 04 Standard 4 05 Standard 5 06 Standard 6 07 Standard 7 08 Standard 8 09 standard 8 10 standard 8 11 Form 1 12 Form 2 13 Form 3 14 Form 4 15 Form 5 16 Form 6 17 Attending university 18 Completed university 96 Pre-primary 97 Never attended 99 NIU (not in universe) Education Variables -- PERSON Education level completed <svar v="KE99A415 KE99A416 KE99A417 KE99A418"><span class="h2">B. Information regarding persons aged 5 years and above:</span><br /><br />Education:<br /></svar></p> <p><svar v="KE99A417" a="all">P-24. What is the highest level completed by [the respondent]? ____<br /><div class="i1">Write the appropriate code using the categories shown inside the front cover. [Use] code 97 if P-22 = 3</div><br /></svar> <svar v="KE99A415 KE99A416 KE99A417">Columns P22, 23 and 24: Education<br /><br />80. The questions on education are applicable to persons aged 5 years and over. They refer to full-time education at formal educational institutions i.e. pre-primary, primary, secondary, and university.<br /></svar></p> <p>Column P23: Highest level of education reached</p> <p>82. What is the highest level of education this person has reached? Code in column P23 the highest level of formal education the person has reached i.e. class, form, University, the person has reached. If a person reached standard 4 and dropped out of school before completing it, he/she should be coded "04", etc. Refer to the code list on the cover page of the questionnaire.</p> <p>Column P24: Highest level of education completed</p> <p>83. What is the highest class or form this person has completed? If a person was at school and left before completing standard 4 he/she should be coded as having completed standard 3 hence code "03". If a person is at school and is attending standard 4 he/she should be coded as having completed standard 3 hence code "03". Refer to the code list on the cover page of the questionnaire.</p> <p>84. The simple rule here is that for all persons attending school this year the highest level completed should be one level lower than the highest level reached. And for persons not attending school this year the highest level completed may be the same as the Highest Level Reached or one level below it, but not greater.</p> <p>85. For example: record the highest class or form the person has completed in the formal primary and secondary school system e.g. a person in form one will have completed standard 8 and therefore should be coded as having completed standard 8, while those who have completed form one should be coded "11 ".1</p> <p>(a) If a person has sat for 'O' level or 'A' level exams, through correspondence courses etc., that is, the person has not gone to formal school to achieve these certificates, code his/her highest level of education according to the highest exam he/she has sat and passed e.g. code "14" for 'O' level passed exams etc.</p> <p>(b) If the person has attended university but never completed or is currently attending under-graduate studies code "17": If the person has completed under-graduate and above, code "18". Kenya 1999: Persons age 5+ [discrepancies: none] This variable indicates the highest academic level completed. 00 Standard 1, incomplete 01 Standard 1 02 Standard 2 03 Standard 3 04 Standard 4 05 Standard 5 06 Standard 6 07 Standard 7 08 Standard 8 09 Standard 8 10 Standard 8 11 Form 1 12 Form 2 13 Form 3 14 Form 4 15 Form 5 16 Form 6 17 Attending university 18 Completed university 96 Pre-primary 97 Never attended 99 NIU (not in universe) Education Variables -- PERSON Class of worker <svar v="KE99A415 KE99A416 KE99A417 KE99A418"><span class="h2">B. Information regarding persons aged 5 years and above:</span><br /><br />Education:<br /></svar></p> <p><svar v="KE99A418" a="all">P-30. Labor force particulars<br /><br />What was [the respondent] mainly doing during the last 7 days preceding the Census night?<br /><div class="i1">[] 01 Worked for pay<br />[] 02 On leave/sick leave<br />[] 03 Worked on own/ family business<br />[] 04 Worked on own family agricultural holding<br />[] 05 Seeking work<br />[] 06 No work available<br />[] 07 Full time student<br />[] 08 Retired<br />[] 09 Incapacitated<br />[] 10 Homemaker<br />[] 11 Other</div><br /></svar> <svar v="KE99A418" a="all">Column P30: Labor force participation<br /><br />86. Column P30 contains a question on labor force participation during the last seven days preceding the census night and is asked of all persons aged 5 years and above<br /><br />87. Ask all persons aged 5 years and above.<br />What was this person mainly doing during the last seven days preceding the census night? What the respondent was mainly doing will denote the activity that occupied most of the respondent's time during the 7 days preceding the census night. The responses in column P30 are as follows:<br /><br />Worked for pay<br />Comprises persons who during the 7 days preceding the census night worked most of the time for wages, salaries, commissions, tips, contracts and paid in kind (especially in the rural areas where people who have rendered services may be paid using food or clothing).<br /><br />On leave/sick leave<br />This group comprises all those with formal attachments to a job or business/enterprise but were not working during the reference period because they were sick or on holiday, seasonal workers, leave without pay, bad weather, etc. However, a person who is on leave such as a teacher but worked on family holding in the past 7 days preceding census night should be indicated as on leave.<br /><br />Worked on own/family business<br />This category comprises self-employed persons who worked on own business or persons who worked on family business for family gain. It includes "jua-kali" artisans, mechanics, traders in farm produce and family workers not on wage employment. Any member of the household working on the holding for pay will fall under code "01 ".<br /><br />Worked on own/family agricultural holding<br />A holding in this case is the unit of land, farm or shamba which is owned or rented by the family and is used for purposes of cultivation or rearing livestock for subsistence. All the members of the household who are working on the holding without pay/profit will be coded "04" (i.e. working on own/family agricultural holding). Any member of the household working on the holding for pay will fall under code "01" (i.e. worked for pay).<br /><br />Seeking work<br />A person who in the 7 days preceding the census night was actively looking for work. This category should not include the under-employed (i.e those who have paid work but wish to leave for better opportunities). Persons who have no work at all and are looking for work will fall under this category. If a person is working on the family holding but is seeking work, he/she should be coded as "working on family holding" and not as "seeking work". This category should include only persons who are available full time for work and hence are' actively looking for it.<br /><br />No work available<br />This is a person who is not working nor is looking for work because he/she is discouraged, but would usually take up a job when offered one.<br /><br />Full-time student<br />This is a person who spent most of his/her time in a regular educational institution (primary, secondary, college, university etc.) and hence not available for work. If, for instance, a student was on holiday during the 7 days preceding the census night and may have been engaged in gainful employment, he/she should be given the appropriate code "01".<br /><br />Retired<br />This is a person who reports that during the 7 days preceding the census night, he/she was not engaged in any economic activity because he/she had retired either due to age, sickness or voluntarily. If a person has retired and is doing some work/business he/she should be coded appropriately, either as "01 ", "03" or "04". If he/she has retired and is seeking work he/she should be coded as "05".<br /><br />Incapacitated<br />Is one who cannot work. Do not assume that all physically disabled persons cannot, work. For example, a blind person who is in wage employment will fall under category "01" and'- not' "08". Similarly lame/crippled persons working on the family holding should fall under category "03" or "04". Please probe.<br /><br />Homemaker<br />Is a person, of either sex involved in household chores in his/her'ov4n home e.g. fetching water, cooking, babysitting' 'etc. who did not work -for pay or profit nor sought work. These categories should 'not' 'include house boys/girls who fall under category "01". If such a person worked on<br />family holding they should be coded as "03" or "04" and not as "10". Please probe.<br /><br />Other<br />This category includes any other persons not mentioned above. You are to probe to find out whether unpaid family workers consider themselves as 'seeking work', etc. and code them accordingly. For example, if a young man helps his uncle to sell goods in a kiosk without receiving pay, probe whether he is 'seeking work' and code him thus; if he considers himself as working code him as "01".<br /><br />For persons aged below 5 years leave column P30 blank. For respondents aged 5 years and above whose labor force participation status is not known or not stated, write "99"<br /></svar> Kenya 1999: Persons age 5+ [discrepancies: none] This variable indicates economic activity of the individual. 00 NIU (not in universe) 01 Work for pay or profit 02 On leave/sick leave 03 Family holdings 04 Family agriculture 05 Seeking work 06 No work available 07 Full time student 08 Retired 09 Incapacitated 10 Homemaker 11 Other Work Variables -- PERSON Number of males ever born <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A419 KE99A420 KE99A434 KE99A445 KE99A446 KE99A453 KE99A454" a="all">How many children have you born alive?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-40. Boys ____<br />P-41. Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates the number of males ever born alive to this person. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of females ever born <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A419 KE99A420 KE99A434 KE99A445 KE99A446 KE99A453 KE99A454" a="all">How many children have you born alive?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-40. Boys ____<br />P-41. Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates the number of females ever born alive to this person. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children usually living in household <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A421 KE99A422 KE99A434 KE99A435 KE99A436 KE99A437 KE99A447 KE99A448 KE99A455 KE99A456" a="all">How many children have you born alive who usually live in this household?<br /><div class="i1">Mark X in the box and fill single digit for 10 and above<br /><br />P-42. Boys ____<br />P-43. Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates the number of males ever born to this person who usually live in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children usually living in household <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A421 KE99A422 KE99A434 KE99A435 KE99A436 KE99A437 KE99A447 KE99A448 KE99A455 KE99A456" a="all">How many children have you born alive who usually live in this household?<br /><div class="i1">Mark X in the box and fill single digit for 10 and above<br /><br />P-42. Boys ____<br />P-43. Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates the number of females ever born to this person who usually live in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children usually living elsewhere <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A423 KE99A424 KE99A434 KE99A435 KE99A436 KE99A437 KE99A449 KE99A450 KE99A457 KE99A458" a="all">How many children have you born alive who usually live elsewhere?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-44 Boys ____<br />P-45 Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates the number of males ever born to this person who live elsewhere. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children usually living elsewhere <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A423 KE99A424 KE99A434 KE99A435 KE99A436 KE99A437 KE99A449 KE99A450 KE99A457 KE99A458" a="all">How many children have you born alive who usually live elsewhere?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-44 Boys ____<br />P-45 Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates the number of females ever born to this person who live elsewhere. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of males born alive who are dead <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A425 KE99A426 KE99A434 KE99A451 KE99A452 KE99A459 KE99A460" a="all">How many children have you born alive who have died?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-46 Boys ____<br />P-47 Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates the number of males ever born alive to this person who have already died. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of females born alive who are dead <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A425 KE99A426 KE99A434 KE99A451 KE99A452 KE99A459 KE99A460" a="all">How many children have you born alive who have died?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-46 Boys ____<br />P-47 Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates the number of females ever born alive to this person who have already died. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Last birth, month <svar v="KE99A427 KE99A428 KE99A461 KE99A462" a="all">When was your last child born?<br /><div class="i1">P-48. Month ____<br />P-49. Year ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ who had ever given birth [discrepancies: none] This variable indicates the month of the last live birth. 00 NIU (not in universe) 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December Fertility and Mortality Variables -- PERSON Last birth, year <svar v="KE99A427 KE99A428 KE99A461 KE99A462" a="all">When was your last child born?<br /><div class="i1">P-48. Month ____<br />P-49. Year ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ who had ever given birth [discrepancies: none] This variable indicates the year of the last live birth. 00 NIU (not in universe) 38 1938 or earlier 39 1939 40 1940 41 1941 42 1942 43 1943 44 1944 45 1945 46 1946 47 1947 48 1948 49 1949 50 1950 51 1951 52 1952 53 1953 54 1954 55 1955 56 1956 57 1957 58 1958 59 1959 60 1960 61 1961 62 1962 63 1963 64 1964 65 1965 66 1966 67 1967 68 1968 69 1969 70 1970 71 1971 72 1972 73 1973 74 1974 75 1975 76 1976 77 1977 78 1978 79 1979 80 1980 81 1981 82 1982 83 1983 84 1984 85 1985 86 1986 87 1987 88 1988 89 1989 90 1990 91 1991 92 1992 93 1993 94 1994 95 1995 96 1996 97 1997 98 1998 99 1999 Fertility and Mortality Variables -- PERSON Last birth, sex/multiple <svar v="KE99A429 KE99A463" a="all">P-50. Was it a male or a female?<br /><div class="i1">[] 1. Male<br />[] 2. Female<br />[] 3. Male twins<br />[] 4. Female twins<br />[] 5. Male-female twins<br />[] 6. Multiple births<br />[] 7. Don't know</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ who have ever given birth [discrepancies: none] This variable indicates gender of the last live birth. 0 NIU (not in universe) 1 Male 2 Female Fertility and Mortality Variables -- PERSON Last birth currently alive <svar v="KE99A430 KE99A464" a="all">P-51. Is this child still alive?<br /><div class="i1">[] 1. Yes<br />[] 2. No<br />[] 3. Both twins<br />[] 4. One of the twins<br />[] 5. All the multiples<br />[] 6. Two of the multiples<br />[] 7. One of the multiples<br />[] 8. None of the multiples<br />[] 9. Don't know</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ who have ever given birth [discrepancies: none] This variable indicates whether the woman's most recently born child is still living. 1 Yes 2 No 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children ever born <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A419 KE99A420 KE99A434 KE99A445 KE99A446 KE99A453 KE99A454" a="all">How many children have you born alive?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-40. Boys ____<br />P-41. Girls ____</div><br /></svar></p> <p><svar v="KE99A421 KE99A422 KE99A434 KE99A435 KE99A436 KE99A437 KE99A447 KE99A448 KE99A455 KE99A456" a="all">How many children have you born alive who usually live in this household?<br /><div class="i1">Mark X in the box and fill single digit for 10 and above<br /><br />P-42. Boys ____<br />P-43. Girls ____</div><br /></svar></p> <p><svar v="KE99A423 KE99A424 KE99A434 KE99A435 KE99A436 KE99A437 KE99A449 KE99A450 KE99A457 KE99A458" a="all">How many children have you born alive who usually live elsewhere?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-44 Boys ____<br />P-45 Girls ____</div><br /></svar></p> <p><svar v="KE99A425 KE99A426 KE99A434 KE99A451 KE99A452 KE99A459 KE99A460" a="all">How many children have you born alive who have died?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-46 Boys ____<br />P-47 Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates the number of children ever born to this person. It was constructed from edited data. 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+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A421 KE99A422 KE99A434 KE99A435 KE99A436 KE99A437 KE99A447 KE99A448 KE99A455 KE99A456" a="all">How many children have you born alive who usually live in this household?<br /><div class="i1">Mark X in the box and fill single digit for 10 and above<br /><br />P-42. Boys ____<br />P-43. Girls ____</div><br /></svar></p> <p><svar v="KE99A423 KE99A424 KE99A434 KE99A435 KE99A436 KE99A437 KE99A449 KE99A450 KE99A457 KE99A458" a="all">How many children have you born alive who usually live elsewhere?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-44 Boys ____<br />P-45 Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates the number of children surviving to this person. It was constructed from edited data. 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+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children surviving <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A421 KE99A422 KE99A434 KE99A435 KE99A436 KE99A437 KE99A447 KE99A448 KE99A455 KE99A456" a="all">How many children have you born alive who usually live in this household?<br /><div class="i1">Mark X in the box and fill single digit for 10 and above<br /><br />P-42. Boys ____<br />P-43. Girls ____</div><br /></svar></p> <p><svar v="KE99A423 KE99A424 KE99A434 KE99A435 KE99A436 KE99A437 KE99A449 KE99A450 KE99A457 KE99A458" a="all">How many children have you born alive who usually live elsewhere?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-44 Boys ____<br />P-45 Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates the number of male children surviving to this person. It was constructed from edited data. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children surviving <svar v="KE99A434" a="all"><span class="h2">C. Information regarding females aged 12 years and above:</span><br /></svar></p> <p><svar v="KE99A421 KE99A422 KE99A434 KE99A435 KE99A436 KE99A437 KE99A447 KE99A448 KE99A455 KE99A456" a="all">How many children have you born alive who usually live in this household?<br /><div class="i1">Mark X in the box and fill single digit for 10 and above<br /><br />P-42. Boys ____<br />P-43. Girls ____</div><br /></svar></p> <p><svar v="KE99A423 KE99A424 KE99A434 KE99A435 KE99A436 KE99A437 KE99A449 KE99A450 KE99A457 KE99A458" a="all">How many children have you born alive who usually live elsewhere?<br /><div class="i1">Mark X in the box and fill single digit only for 10 and above<br /><br />P-44 Boys ____<br />P-45 Girls ____</div><br /></svar> <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates number of female children surviving to this person. It was constructed from edited data. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Total children born alive who have died <svar v="KE99A419 KE99A420 KE99A421 KE99A422 KE99A423 KE99A424 KE99A425 KE99A426 KE99A427 KE99A428 KE99A429 KE99A430 KE99A434 KE99A435 KE99A436 KE99A437 KE99A438 KE99A463" a="all">Columns P40-51: Particulars of all live births<br /><br />88. The questions in columns P40 to P51 apply to all females aged 12 years and over<br /><br />89. Answers are required of all females in this category. It does not matter whether or not they are married, never married, divorced or separated; whether or not they are still attending school; or what their relationship to the head of the household is. You must ask the questions of all females aged twelve years and over. First thing to do is check in column P11 and P12 and then identify all those to whom these questions should be posed. Make sure you make your entries in the correct serial numbers for the eligible women.<br /><br />90. For all males and for girls below twelve years of age, leave columns P40 to P51 blank. Also, if a female aged 12 years and above has, for some reason, declined to respond to the questions, leave columns P40 to P51 blank. However, this will not be tolerated. For childless women, code "0" in the appropriate bigger boxes.<br /><br />91. 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 firmness, politeness and tact.<br /><br />92. Ask of all females aged 12 years and over "Have you borne any children alive?"<br /><br />(a, A child borne alive is one who shows one or more of the following signs of life immediately after birth:<br />(i) Crying or similar sounds<br />(ii) Movement of the limbs or any other parts of the body<br />(iii) Any other tangible signs of life.<br />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.<br /><br />(b) If the woman has born any child alive, write the number of boys in the bigger box in P40 and the number of girls in P41 if it is a single digit. However; mark an "X" in the smaller box and then fill in the last digit for 1019. The following are examples:<br /><br />93. If the woman has born children alive, ask, "of the children you have born alive, how many usually live with you in this household?" Write the number of boys who usually live in the household in column P42 and number of girls in column P43. If none of the boys or girls she has borne alive are living in the household, write "0" in the appropriate boxes. For female headed households, you should be able to verify this information from column P10 and P11. If for example the woman has only two boys and two 'girls then you should write "2" in column P42 and "2" in column P43, leaving the smaller boxes in each sub-column blank.<br /><br />94. Next ask, "of the children you have born alive, how many usually live elsewhere?"<br /><br />(a) Write the number of boys who usually live elsewhere in column P44 and the number of girls in column P45. Fill in a single digit in the bigger box under the appropriate column if less than ten (10); for 10 and above mark an "X" the smaller box and fill in the last single digit in the bigger box. If none of the boys or girls she has borne alive live elsewhere, write, "0" in the appropriate bigger boxes, leaving the smaller boxes blank.<br /><br />(b) Include in these columns all the children she has borne alive who usually live elsewhere. It may be that they have grown up and married, or have gone off to work, or are living with relatives, or are in a boarding school etc. 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.<br /><br />95. Then ask, "of the children you have born alive, how many have died?"<br /><br />(a) Many people do not want to talk of the dead and many others find it painful to talk about their dead children. It is best to ask this question in a matter of fact way and without embarrassment. Please refer to paragraph 92(a) above for the definition of a live birth.<br /><br />(b) Write the number of boys who have died in column P46 and number of girls in column in P47 using the same procedure as in 94 (a). If none of the boys and girls she has borne alive has died, code "0" in the appropriate columns.<br /><br />(c) If, in spite of your best efforts, you cannot obtain this information about the children who have died, leave columns P46 and P47 blank. However, you should not encourage this.<br /><br />96. Before proceeding to columns P48-P51, probe to know whether the number of children given in columns P42-x'47 is correct by comparing with the entry in columns P40 and P41. If these totals differ, probe further and adjust your entries accordingly.<br /><br />97. Ask, "in what year and month was your last child born?" Record the month and year of birth in columns P48 and P49 respectively. Code the month in column P48 i.e. "01" for January, "02" for February, "12" for December. Code the last two digits of the year i.e. "80" for 1980, "89" for 1989 in column P49 etc.<br /><br />98. Then ask, 'was it a boy or a girl?' Write the sex of the last borne child in column P50. Code "1" for male, "2" for female, "3" for male twins, "4" for female twins, "5" for twins with one of either sex, and "6" for other multiple births.<br /><br />99. In column P51 indicate whether the child is still alive. If the last live birth is alive and living with the mother, check that year of birth agrees with the age of the child which is in column P12. If the dates do not agree, find out what has gone wrong and make any correction that is necessary. For single births code "1" if the child is still alive and "2" if dead. For twins code "3" if both twins are alive and "4" if only one of the twins is alive. For multiple births, code "5" if all the multiples are alive, "6" if two of the multiples are alive, "7" if only one of the multiples is alive and "8" if none of the multiples is alive. Write "9" if the survival status of the last birth is not known.<br /></svar> Kenya 1999: Females age 12+ [discrepancies: none] This variable indicates total number of children who have died who were born to this person. It was constructed from edited data. 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+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Economic activity Kenya 1999: Persons age 5+ [discrepancies: none] This variable indicates economic activity of the individual. 00 NIU (not in universe) 01 Work for pay or profit 02 On leave/sick leave 03 Family holdings 04 Family agriculture 05 Seeking work 06 No work available 07 Full time student 08 Retired 09 Incapacitated 10 Homemaker 11 Other Work Variables -- PERSON