5th Population and Housing Census 2008 DDI_SSD_2008_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. 5th Population and Housing Census - IPUMS Subset 2008 PHC ss2008a (IPUMS Harmonized Subset) SSD_2008_PHC_v01_M_v7.6_A_IPUMS Southern Sudan Centre for Census, Evaluation and Statistics IPUMS (c) Copyright 2008, Southern Sudan Centre for Census, Evaluation and Statistics and Minnesota Population Center Southern Sudan Centre for Census, Evaluation and Statistics Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Utilities Variables -- HOUSEHOLD Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Migration: O-Z Variables -- PERSON Technical Person Variables -- PERSON Technical Household Variables -- HOUSEHOLD Demographic Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Technical Person Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Household Imputation Flags Variables -- HOUSEHOLD Household Imputation Flags Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Geography: O-Z Variables -- HOUSEHOLD Demographic Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Fertility and Mortality Variables -- PERSON Disability Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Person Imputation Flags Variables -- PERSON Person Imputation Flags Variables -- PERSON Technical Person Variables -- PERSON Fertility and Mortality Variables -- PERSON April 22, 2008 April 22nd - May 6th, 2008 South Sudan County Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: no UNIT DESCRIPTIONS: - Dwellings: A building is an independent free-standing structure irrespective of its construction material, composed of one or more rooms. - Households: A household consists of a person or a group of persons who live together in the same housing unit or part of it and who consider themselves as one unit in terms of the provision of food and/or other essentials of living for the group. When most of the members of such a group are related by blood (i.e., biologically) the group shall be referred to as a Private Household for the purpose of the census. On the other hand when the group (i.e., household as defined earlier) consists of members who are not related by blood and they are more than 10, they will be considered as Non-Institutional Collective Household. Note that if the group consists of 10 or less members, it should be considered a private household. - Group quarters: An institution is usually a set of premises used to house a large number of people who are not related by blood or marriage but bound together by a common objective or personal interest (e.g., universities, boarding houses, hospitals, army barracks, camps, prisons, hotels, etc.) Residents of South Sudan Homeless, regugees, camp residents. Nomadic population is that group of people who rear cattle or livestock and do not stay in specific areas for long periods of time. They live in mobile housing units, usually made of wood, hide, etc. and are continuously moving in search of water and grazing for their animals. Administratively they are affiliated to tribal 'Sheikhs'and 'Farigs' councils. Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: South Sudan 2008 MICRODATA SOURCE: Southern Sudan Centre for Census, Evaluation and Statistics SAMPLE SIZE (person records): 542765. SAMPLE DESIGN: Long form questionnaire for sedentary households (selected enumeration areas) and a sample of nomad households. Homeless, regugees, camp residents. Nomadic population is that group of people who rear cattle or livestock and do not stay in specific areas for long periods of time. They live in mobile housing units, usually made of wood, hide, etc. and are continuously moving in search of water and grazing for their animals. Administratively they are affiliated to tribal 'Sheikhs'and 'Farigs' councils. Face-to-face [f2f] Two forms: Long Questionnaire (for a sample of areas) and Short Questionnaire (for the rest of the country). The information used here is based on the long form questionnaire. de facto, CENSUS DAY: April 22, 2008 Computed by census agency and should be used for most types of analysis. 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. Southern Sudan Centre for Census, Evaluation and Statistics Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: South Sudan, Southern Sudan Centre for Census, Evaluation and Statistics. 5th 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 ss2008a, 2025 SSD2008_PHC-H-H.dat Household records 92,592 ascii Minnesota Population Center Version 7.5, IPUMS sample SSD2008_PHC-P-H.dat Person records 542765 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD 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 South Sudan, State 2008 [Level 1; consistent boundaries, GIS] GEO1_SS identifies the household's state within South Sudan in 2008. States are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_SS can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for South Sudan 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. 728071 Upper Nile 728072 Jonglei 728073 Unity 728081 Warrap 728082 Northern Bahr El Ghazal 728083 Western Bahr El Ghazal 728084 Lakes 728091 Western Equatoria 728092 Central Equatoria 728093 Eastern Equatoria Geography: O-Z Variables -- HOUSEHOLD South Sudan, State 2008 [Level 1, GIS] GEO1_SS2008 identifies the household's state within South Sudan in 2008. States are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_SS2008 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for South Sudan 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. 071 Upper Nile 072 Jonglei 073 Unity 081 Warrap 082 Northern Bahr El Ghazal 083 Western Bahr El Ghazal 084 Lakes 091 Western Equatoria 092 Central Equatoria 093 Eastern Equatoria Geography: O-Z Variables -- HOUSEHOLD South Sudan, County 2008 [Level 2; consistent boundaries, GIS] GEO2_SS identifies the household's county within South Sudan in 2008. Counties are the second level administrative units of the country, after states. A GIS map (in shapefile format), corresponding to GEO2_SS can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for South Sudan 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. 728071001 Renk 728071002 Manyo, Melut 728071003 Fashoda 728071005 Maban 728071006 Maiwut 728071007 Luakpiny/Nasir 728071008 Longochuk 728071009 Ulang 728071010 Baliet 728071011 Malakal 728071012 Panyikang 728072001 Old Fangak 728072002 Khorflus 728072003 Ayod 728072004 Duk 728072005 Wuror 728072006 Nyirol 728072007 Akobo 728072009 Pibor, Pochalla 728072010 Twic East 728072011 Bor South 728073001 Pariang 728073003 Mayom, Abiemnhom 728073004 Rubkona 728073005 Guit 728073006 Koch 728073007 Leer 728073008 Mayendit 728073009 Payinjar 728081002 Twic, Abyei 728081003 Gogrial West 728081004 Gogrial East 728081005 Tonj North 728081006 Tonj East 728081007 Tonj South 728082001 Aweil North 728082002 Aweil East 728082003 Aweil South 728082004 Aweil West 728082005 Aweil Centre 728083001 Raga 728083002 Jur River 728083003 Wau 728084001 Cueibit, Rumbek North 728084003 Rumbek Centre 728084004 Wulu 728084005 Rumbek East 728084006 Yirol West 728084007 Yirol East 728084008 Awerial 728091001 Tambura, Nagero 728091003 Nzara 728091004 Ezo 728091005 Yambio 728091006 Ibba 728091007 Maridi 728091008 Mvolo, Mundri West 728091010 Mundri East 728092001 Terekeka 728092002 Juba 728092003 Lainya 728092004 Yei 728092005 Morobo 728092006 Kajo Keji 728093001 Torit 728093002 Lopa/Lafon 728093003 Kapoeta North 728093004 Kapoeta East 728093005 Kapoeta South 728093006 Budi 728093007 Ikotos 728093008 Magwi Geography: O-Z Variables -- HOUSEHOLD South Sudan, County 2008 [Level 2, GIS] GEO2_SS2008 indicates the household’s county within South Sudan in 2008. Counties are the second level administrative units of the country, after states. A GIS map (in shapefile format), corresponding to GEO2_SS2008 can be downloaded from the GIS Boundary files page in the IPUMS International web site The full set of geography variables for South Sudan can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 071001 Renk 071002 Manyo, Malut 071003 Fashoda 071005 Maban 071006 Maiwut 071007 Luakpiny/Nasir 071008 Longochuk 071009 Ulang 071010 Baliet 071011 Malakal 071012 Panyikang 072001 Old Fangak 072002 Khorflus 072003 Ayod 072004 Duk 072005 Wuror 072006 Nyirol 072007 Akobo 072009 Pibor, Pochalla 072010 Twic East 072011 Bor South 073001 Pariang 073003 Mayom, Abiemnhom 073004 Rubkona 073005 Guit 073006 Koch 073007 Leer 073008 Mayendit 073009 Payinjar 081002 Twic, Abyei 081003 Gogrial West 081004 Gogrial East 081005 Tonj North 081006 Tonj East 081007 Tonj South 082001 Aweil North 082002 Aweil East 082003 Aweil South 082004 Aweil West 082005 Aweil Centre 083001 Raga 083002 Jur River 083003 Wau 084001 Cueibit, Rumbek North 084003 Rumbek Centre 084004 Wulu 084005 Rumbek East 084006 Yirol West 084007 Yirol East 084008 Awerial 091001 Tambura, Nagero 091003 Nzara 091004 Ezo 091005 Yambio 091006 Ibba 091007 Maridi 091008 Mvolo, Mundri West 091010 Mundri East 092001 Terekeka 092002 Juba 092003 Lainya 092004 Yei 092005 Morobo 092006 Kajo Keji 093001 Torit 093002 Lopa/Lafon 093003 Kapoeta North 093004 Kapoeta East 093005 Kapoeta South 093006 Budi 093007 Ikotos 093008 Magwi Geography: O-Z Variables -- HOUSEHOLD South Sudan, Region REGNSS indicates the regions (wilayaat) in South Sudan in which the household was enumerated. Regions are the largest-scale geographic identifier of the country. REGNSS is harmonized by name and does not account for boundary changes over time. The full set of geography variables for South Sudan 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. 7 Upper Nile 8 Bahr El Ghazal 9 Equatoria Geography: O-Z 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 Main source of livelihood LIVEHOOD describes the main source of livelihood of the household. If there were multiple sources, one had to be chosen as the most important. 00 NIU (not in universe) 10 Agricultural activities 11 Subsistence animal husbandry 12 Subsistence farming 13 Commercial farming 14 Fishing 20 Employment income 30 Business enterprise 31 Formal trading 32 Petty trading 40 Cottage industry 50 Property income 60 Family support/remittances 70 Humanitarian aid 80 Other 81 Rent or remittances 82 Religious work 83 Pension 84 Sale of assets 99 Unknown Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Cooking fuel FUELCOOK indicates the predominant type of fuel or energy used for cooking. 00 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 34 Liquefied petroleum gas 35 Gas -- piped and bottled 40 Petroleum liquid 41 Oil, kerosene, and other liquid fuels 42 Kerosene/paraffin 43 Kerosene or oil 44 Kerosene or gasoline 45 Gasoline 46 Cocinol 47 Diesel 50 Wood, coal, and other solid fuels 51 Wood and other plant fuels 52 Non-wood plant materials 53 Coal or charcoal 54 Charcoal 55 Coal 56 Wood or charcoal 60 Multiple fuels 61 Bottled gas and wood 62 Propane and electricity 63 Propane, kerosene, and electricity 64 Propane and kerosene 65 Kerosene and electrictiy 66 Other combinations 70 Other 71 Alcohol 72 Biogas 73 Discarded or waste material 74 Dung/manure 75 Other combined organic waste materials 76 Solar energy 77 Candle 99 Unknown/missing Utilities Variables -- HOUSEHOLD Telephone availability PHONE indicates the availability of a telephone in the dwelling. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Utilities Variables -- HOUSEHOLD Cellular phone availability CELL indicates the availability of a cellular phone in the household. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Automobiles available AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles. 0 No autos 1 1 auto 2 2 autos 3 3 autos 4 4 autos 5 5 autos 6 6+ autos 7 Have auto, number unspecified 8 Unknown 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Air conditioning This variable indicates whether the household had air conditioning. 00 NIU (not in universe) 10 No air conditioning 20 Yes, air conditioning 21 1 unit or room 22 2 units or rooms 23 3 units or rooms 24 4 units or rooms 25 5 units or rooms 26 6 units or rooms 27 7 units or rooms 28 8 or more units or rooms 29 Central system 99 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Computer COMPUTER indicates whether the household had a personal computer. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator REFRIG indicates whether the household had a refrigerator. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Television set TV indicates whether the household had a television. 00 NIU (not in universe) 10 No 20 Yes, color or black-and-white not specified 21 1 television 22 2 televisions 23 3 televisions 24 4 televisions 25 5 televisions 26 6 televisions 27 7 televisions 28 8 televisions 29 9+ televisions 30 Yes, at least one color tv 31 1 color tv 32 2 color tvs 33 3+ televisions 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household RADIO indicates whether the household had a radio. 0 NIU (not in universe) 1 No 2 Yes 9 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of bedrooms BEDROOMS indicates the number of rooms available to members of the household for sleeping. 00 No bedrooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Number of deaths in household last year MORTNUM indicates the number of deaths in the household in the past year. 0 None 1 1 death 2 2 deaths 3 3 deaths 4 4 deaths 5 5 deaths 6 6 deaths 7 7 or more deaths 8 Unknown 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Any deaths in household last year ANYMORT indicates whether there were any deaths in the household in the past year. 1 Yes 2 No 8 Unknown/missing 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number South Sudan 2008: All households This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household South Sudan 2008: All households This variable indicates the number of persons in the household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 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 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household South Sudan 2008: All households This variable indicates whether the dwelling was created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Region South Sudan 2008: All households This variable indicates the region where the dwelling is located. 7 Upper Nile 8 Bahr El Ghazal 9 Equatoria Geography: O-Z Variables -- HOUSEHOLD Urban/rural South Sudan 2008: All households This variable indicates whether the dwelling is in an urban or rural area, or the household is nomadic. 1 Urban 2 Rural Geography: O-Z Variables -- HOUSEHOLD Type of household <svar v="SS08A032 SS08A137" a="all">Population group/type of household<br /><div class="i1">[] 1 Private household<br />[] 2 Nomads<br />[] 3 Internally displaced<br />[] 4 Institutional household<br />[] 5 Homeless<br />[] 6 Refugees<br />[] 7 Cattle camp<br />[] 8 Overnight travelers</div><br /></svar> <svar v="SS08A032 SS08A137" a="all"><span class="em">Population group/type of household:</span> Sometimes the population group/type of household will be evident (homeless, nomads, or cattle camp), while at other times you need to ask the head of household, or other acceptable respondent to identify the type of household (internally displaced or refugees). Refer to the previous definitions of institutions to identify institutional households. If you are unsure, note the household number and situation in your notebook and ask your supervisor.<br /></svar> South Sudan 2008: All households This variable indicates the type of household. 1 Private household 2 Nomads 3 Internally displaced 6 Refugees Group Quarters Variables -- HOUSEHOLD Type of dwelling <svar v="SS08A036 SS08A138" a="all">33. What type of dwelling does this household live in?<br /><div class="i1">[] 1 Tent<br />[] 2 Dwelling of straw mats<br />[] 3 Tukul / gottiya -- mud<br />[] 4 Tukul / gottiya -- sticks<br />[] 5 Flat or apartment<br />[] 6 Villa<br />[] 7 House of one floor -- mud<br />[] 8 House of one floor -- brick/concrete<br />[] 9 House constructed of wood<br />[] 10 Multi-storey house<br />[] 11 Incomplete</div><br /></svar> <svar v="SS08A036 SS08A138" a="all"><span class="em">Q33 "What type of dwelling does this household live in?"</span> Ask question 33.<br /><ul class="b1"> <li>If the respondent is unsure of the type of response you are looking for, read the categories aloud.</li> <li>Work with the respondent to try and classify their dwelling into one of the options provided in the questionnaire.</li> <li>Shade the appropriate household code as reported by the respondent.</li> <li>Remember that only one code should be shaded.</li> </ul><br />Study the different categories for type of dwelling. If you are unsure of any category, ask questions.<br /></svar> South Sudan 2008: All households This variable indicates the physical type of dwelling used by the household. 01 Tent 02 Dwelling of straw mats 03 Tukul /gottiya of mud 04 Tukul /gottiya of sticks 05 Flat or apartment 06 Villa 07 House of one floor, mud 08 House of one floor, brick/concrete 09 House constructed of wood 10 Multi-story house 11 Incomplete Dwelling Characteristics Variables -- HOUSEHOLD Number of sleeping rooms <svar v="SS08A037 SS08A139" a="all">34. How many rooms does this household use for sleeping indoors?<br /><div class="i1">_ _</div><br /></svar> <svar v="SS08A037 SS08A139" a="all"><span class="em">Q34 "How many rooms does this household use for sleeping indoors?"</span> Ask question 34.<br /><ul class="b1"> <li>Write the number of rooms in the boxes and shade the corresponding numbers in the rows.</li> <li>Use leading zeroes. If the respondent says 5 rooms, write and shade "05"</li> <li>The number of sleeping rooms should include the number of rooms in the main building plus any other rooms used for sleeping in the building/compound.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the number of rooms used by the household for sleeping. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8+ Dwelling Characteristics Variables -- HOUSEHOLD Tenure status <svar v="SS08A038 SS08A140" a="all">35. What is the tenure status of this dwelling?<br /><div class="i1">[] 1 Owned<br />[] 2 Rented<br />[] 3 Housing provided as part of work<br />[] 4 Free</div><br /></svar> <svar v="SS08A038 SS08A140" a="all"><span class="em">Q35 "What is the tenure status of this dwelling?"</span> Ask question 35.<br /><ul class="b1"> <li>Shade the number corresponding to the type of tenure reported by the respondent.</li> <li>Read the categories aloud if the respondent seems confused.</li> </ul><br /><div class="i2"><span class="ital">(1) "Owned."</span> A member of the household owns the dwelling.<br /><br /><span class="ital">(2) "Rented."</span> A member of the household pays rent for the dwelling.<br /><br /><span class="ital">(3) "Housing provided as part of work."</span> Dwelling is provided by the employer of a household member even though some rent may be paid. If the employment stops, the household members lose the lower rent and/or dwelling.<br /><br /><span class="ital">(4) "Free."</span> A household member does not own the dwelling, it is occupied free of charge without rent or linkage to job.</div><br /></svar> South Sudan 2008: All households This variable indicates the tenure status of the dwelling. 1 Owned 2 Rented 3 Housing provided by job 4 Free Household Economic Variables -- HOUSEHOLD Source of drinking water <svar v="SS08A039 SS08A141" a="all">36. What is the main source of drinking water for this household?<br /><div class="i1">[] 1 Water filtering stations with common network/stand pipe (koshk)<br />[] 2 Mechanical boreholes with common network stand pipe (koshk)<br />[] 3 Deep boreholes (donkey) with network<br />[] 4 Deep boreholes (donkey) without network<br />[] 5 Hand pumps<br />[] 6 Sand filters with common network stand pipe (koshk)<br />[] 7 Shallow wells (dug wells)<br />[] 8 Hafeer / dam without filter (still open water)<br />[] 9 Hafeer /dam with filter (still open water)<br />[] 10 Turda / fula / river (still open water)<br />[] 11 Running open water source (river, pond, tura'a)<br />[] 12 Water vendor (tanker-cart-bearer) from deep boreholes<br />[] 13 Water vendor - from shallow wells pond/river/spring</div><br /></svar> <svar v="SS08A039 SS08A141" a="all"><span class="em">Q36 "What is the main source of drinking water for this household?"</span><br /><ul class="b1"> <li>A household may obtain water from numerous sources. You must ask them which source they get most of their water.</li> <li>If the respondent is uncertain, read the categories aloud.</li> <li>Shade the number corresponding to the answer provided by the respondent.</li> <li>Remember that only one of the sources listed should be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the main source of drinking water for the household. 01 Water filtering station with common network 02 Mechanical boreholes with common network 03 Deep borehole (donkey) with network 04 Deep borehole (donkey) without network 05 Hand pump 06 Sand filter with common network 07 Shallow well (dug well) 08 Hafeer/Dam without filter (still open water) 09 Hafeer/Dam with filter (still open water) 10 Seasonal river (fula) 11 River, stream (turaa) 12 Water vendor (from deep borehole) 13 Water vendor (from shallow well, pond, river, spring) Utilities Variables -- HOUSEHOLD Source of lighting <svar v="SS08A040 SS08A142" a="all">37. What is the main source of lighting for this household?<br /><div class="i1">[] 1 No lighting<br />[] 2 Public electricity<br />[] 3 Private electricity (generator)<br />[] 4 Gas<br />[] 5 Paraffin lantern<br />[] 6 Paraffin lamp<br />[] 7 Firewood<br />[] 8 Grass<br />[] 9 Candle wax<br />[] 10 Solar power<br />[] 11 Biogas</div><br /></svar> <svar v="SS08A040 SS08A142" a="all"><span class="em">Q37 "What main source of lighting for this household?"</span><br /><ul class="b1"> <li>A household may use different types of lighting. You must ask them which source they use for lighting for most of the time.</li> <li>If the respondent is uncertain, read the categories aloud.</li> <li>Shade the number corresponding to the answer provided by the respondent.</li> <li>Remember that only one of the sources listed should be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the main source of lighting for the household. 01 No lighting 02 Public electricity 03 Private electricity (generator) 04 Gas 05 Paraffin lantern 06 Paraffin lamp 07 Firewood 08 Grass 09 Candle wax 10 Solar power Utilities Variables -- HOUSEHOLD Cooking fuel <svar v="SS08A041 SS08A143" a="all">38. What is the main source of energy used for cooking in this household?<br /><div class="i1">[] 1 Firewood<br />[] 2 Charcoal<br />[] 3 Gas<br />[] 4 Electricity<br />[] 5 Paraffin<br />[] 6 Cow dung<br />[] 7 Grass<br />[] 8 Biogas<br />[] 9 No cooking</div><br /></svar> <svar v="SS08A041 SS08A143" a="all"><span class="em">Q38 "What is the main source of energy used for cooking in this household?"</span><br /><ul class="b1"> <li>A household may use different kinds of fuel to cook. You must ask them which source of energy they mainly use for cooking.</li> <li>If the respondent is uncertain, read the categories aloud.</li> <li>Shade the number corresponding to the answer provided by the respondent.</li> <li>Remember that only one of the sources listed should be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the main type of cooking fuel used in the household. 1 Firewood 2 Charcoal 3 Gas 4 Paraffin or electricity 6 Cow dung 7 Grass 9 No cooking Utilities Variables -- HOUSEHOLD Toilet facilities <svar v="SS08A042 SS08A144" a="all">39. What is the main type of toilet facility used by this household?<br /><div class="i1">[] 1 Pit latrine private<br />[] 2 Shared pit latrine<br />[] 3 Private flush toilet<br />[] 4 Shared flush toilet<br />[] 5 Bucket toilet<br />[] 6 No toilet facility</div><br /></svar> <svar v="SS08A042 SS08A144" a="all"><span class="em">Q39 "What is the main type of toilet facility used by this household?"</span><br /><ul class="b1"> <li>A household may have or use more than one toilet facility. You must ask them which toilet facility they use most often.</li> <li>If the respondent is uncertain, read the categories aloud.</li> <li>Shade the number corresponding to the answer provided by the respondent.</li> <li>Remember that only one of the facilities listed should be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the main type of toilet facility used by the household. 1 Pit latrine private 2 Pit latrine shared 3 Flush toilet private 4 Flush toilet shared 5 Bucket toilet 6 No toilet facility Dwelling Characteristics Variables -- HOUSEHOLD Motor vehicle <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all">40. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Motor vehicle<br />[] 2 Motor cycle / motor rickshaw<br />[] 3 Bicycle<br />[] 4 Canoe / boat<br />[] 5 Any type of animal used for transport<br />[] 6 Tractor<br />[] 7 None</div><br /></svar> <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all"><span class="em">Q40 "Does any member of this household own any of the following?"</span> <br />(Mark all that apply)<br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 6, shade 7 "none."</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a motor vehicle. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Motorcycle <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all">40. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Motor vehicle<br />[] 2 Motor cycle / motor rickshaw<br />[] 3 Bicycle<br />[] 4 Canoe / boat<br />[] 5 Any type of animal used for transport<br />[] 6 Tractor<br />[] 7 None</div><br /></svar> <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all"><span class="em">Q40 "Does any member of this household own any of the following?"</span> <br />(Mark all that apply)<br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 6, shade 7 "none."</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a motorcycle. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Bicycle <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all">40. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Motor vehicle<br />[] 2 Motor cycle / motor rickshaw<br />[] 3 Bicycle<br />[] 4 Canoe / boat<br />[] 5 Any type of animal used for transport<br />[] 6 Tractor<br />[] 7 None</div><br /></svar> <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all"><span class="em">Q40 "Does any member of this household own any of the following?"</span> <br />(Mark all that apply)<br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 6, shade 7 "none."</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a bicycle. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Canoe/boat <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all">40. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Motor vehicle<br />[] 2 Motor cycle / motor rickshaw<br />[] 3 Bicycle<br />[] 4 Canoe / boat<br />[] 5 Any type of animal used for transport<br />[] 6 Tractor<br />[] 7 None</div><br /></svar> <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all"><span class="em">Q40 "Does any member of this household own any of the following?"</span> <br />(Mark all that apply)<br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 6, shade 7 "none."</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a canoe/boat. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Animal transport <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all">40. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Motor vehicle<br />[] 2 Motor cycle / motor rickshaw<br />[] 3 Bicycle<br />[] 4 Canoe / boat<br />[] 5 Any type of animal used for transport<br />[] 6 Tractor<br />[] 7 None</div><br /></svar> <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all"><span class="em">Q40 "Does any member of this household own any of the following?"</span> <br />(Mark all that apply)<br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 6, shade 7 "none."</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns an animal that is used for transport. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Tractor <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all">40. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Motor vehicle<br />[] 2 Motor cycle / motor rickshaw<br />[] 3 Bicycle<br />[] 4 Canoe / boat<br />[] 5 Any type of animal used for transport<br />[] 6 Tractor<br />[] 7 None</div><br /></svar> <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all"><span class="em">Q40 "Does any member of this household own any of the following?"</span> <br />(Mark all that apply)<br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 6, shade 7 "none."</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a tractor. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD No transport <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all">40. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Motor vehicle<br />[] 2 Motor cycle / motor rickshaw<br />[] 3 Bicycle<br />[] 4 Canoe / boat<br />[] 5 Any type of animal used for transport<br />[] 6 Tractor<br />[] 7 None</div><br /></svar> <svar v="SS08A043 SS08A044 SS08A045 SS08A046 SS08A047 SS08A048 SS08A049 SS08A145 SS08A146 SS08A147 SS08A148 SS08A149 SS08A150 SS08A151" a="all"><span class="em">Q40 "Does any member of this household own any of the following?"</span> <br />(Mark all that apply)<br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 6, shade 7 "none."</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates if none of the household members own a form of transport, including animals. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Television <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all">41. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Television<br />[] 2 Radio/transistor<br />[] 3 Mobile phone<br />[] 4 Fixed phone (landline)<br />[] 5 Computer<br />[] 6 Refrigerator<br />[] 7 Satellite dish<br />[] 8 Fan<br />[] 9 Air cooler / air-conditioner<br />[] 10 None</div><br /></svar> <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all"><span class="em">Q41 "Does any member of this household own any of the following?" (mark all that apply)</span><br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 9, shade 10 "none".</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a television. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all">41. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Television<br />[] 2 Radio/transistor<br />[] 3 Mobile phone<br />[] 4 Fixed phone (landline)<br />[] 5 Computer<br />[] 6 Refrigerator<br />[] 7 Satellite dish<br />[] 8 Fan<br />[] 9 Air cooler / air-conditioner<br />[] 10 None</div><br /></svar> <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all"><span class="em">Q41 "Does any member of this household own any of the following?" (mark all that apply)</span><br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 9, shade 10 "none".</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a radio. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Mobile phone <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all">41. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Television<br />[] 2 Radio/transistor<br />[] 3 Mobile phone<br />[] 4 Fixed phone (landline)<br />[] 5 Computer<br />[] 6 Refrigerator<br />[] 7 Satellite dish<br />[] 8 Fan<br />[] 9 Air cooler / air-conditioner<br />[] 10 None</div><br /></svar> <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all"><span class="em">Q41 "Does any member of this household own any of the following?" (mark all that apply)</span><br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 9, shade 10 "none".</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a mobile phone. 1 Yes 2 No Utilities Variables -- HOUSEHOLD Fixed phone <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all">41. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Television<br />[] 2 Radio/transistor<br />[] 3 Mobile phone<br />[] 4 Fixed phone (landline)<br />[] 5 Computer<br />[] 6 Refrigerator<br />[] 7 Satellite dish<br />[] 8 Fan<br />[] 9 Air cooler / air-conditioner<br />[] 10 None</div><br /></svar> <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all"><span class="em">Q41 "Does any member of this household own any of the following?" (mark all that apply)</span><br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 9, shade 10 "none".</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a fixed phone. 1 Yes 2 No Utilities Variables -- HOUSEHOLD Computer <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all">41. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Television<br />[] 2 Radio/transistor<br />[] 3 Mobile phone<br />[] 4 Fixed phone (landline)<br />[] 5 Computer<br />[] 6 Refrigerator<br />[] 7 Satellite dish<br />[] 8 Fan<br />[] 9 Air cooler / air-conditioner<br />[] 10 None</div><br /></svar> <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all"><span class="em">Q41 "Does any member of this household own any of the following?" (mark all that apply)</span><br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 9, shade 10 "none".</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a computer. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all">41. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Television<br />[] 2 Radio/transistor<br />[] 3 Mobile phone<br />[] 4 Fixed phone (landline)<br />[] 5 Computer<br />[] 6 Refrigerator<br />[] 7 Satellite dish<br />[] 8 Fan<br />[] 9 Air cooler / air-conditioner<br />[] 10 None</div><br /></svar> <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all"><span class="em">Q41 "Does any member of this household own any of the following?" (mark all that apply)</span><br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 9, shade 10 "none".</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a refrigerator. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Satellite dish <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all">41. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Television<br />[] 2 Radio/transistor<br />[] 3 Mobile phone<br />[] 4 Fixed phone (landline)<br />[] 5 Computer<br />[] 6 Refrigerator<br />[] 7 Satellite dish<br />[] 8 Fan<br />[] 9 Air cooler / air-conditioner<br />[] 10 None</div><br /></svar> <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all"><span class="em">Q41 "Does any member of this household own any of the following?" (mark all that apply)</span><br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 9, shade 10 "none".</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a satellite dish. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Fan <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all">41. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Television<br />[] 2 Radio/transistor<br />[] 3 Mobile phone<br />[] 4 Fixed phone (landline)<br />[] 5 Computer<br />[] 6 Refrigerator<br />[] 7 Satellite dish<br />[] 8 Fan<br />[] 9 Air cooler / air-conditioner<br />[] 10 None</div><br /></svar> <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all"><span class="em">Q41 "Does any member of this household own any of the following?" (mark all that apply)</span><br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 9, shade 10 "none".</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns a fan. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Air cooler/AC <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all">41. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Television<br />[] 2 Radio/transistor<br />[] 3 Mobile phone<br />[] 4 Fixed phone (landline)<br />[] 5 Computer<br />[] 6 Refrigerator<br />[] 7 Satellite dish<br />[] 8 Fan<br />[] 9 Air cooler / air-conditioner<br />[] 10 None</div><br /></svar> <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all"><span class="em">Q41 "Does any member of this household own any of the following?" (mark all that apply)</span><br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 9, shade 10 "none".</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether any member of the household owns an air cooler or A/C unit. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD No household amenities <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all">41. Does any member of this household own any of the following? <br /><div class="i1">(Mark all that apply)<br />[] 1 Television<br />[] 2 Radio/transistor<br />[] 3 Mobile phone<br />[] 4 Fixed phone (landline)<br />[] 5 Computer<br />[] 6 Refrigerator<br />[] 7 Satellite dish<br />[] 8 Fan<br />[] 9 Air cooler / air-conditioner<br />[] 10 None</div><br /></svar> <svar v="SS08A050 SS08A051 SS08A052 SS08A053 SS08A054 SS08A055 SS08A056 SS08A057 SS08A058 SS08A059 SS08A152 SS08A153 SS08A154 SS08A155 SS08A156 SS08A157 SS08A158 SS08A159 SS08A160 SS08A161" a="all"><span class="em">Q41 "Does any member of this household own any of the following?" (mark all that apply)</span><br /><ul class="b1"> <li>Read off each item in the list to the respondent.</li> <li>If the answer is "yes", shade the number beside the item.</li> <li>If the answer is "no", leave the number blank and move to the next item.</li> <li>If the respondent says no to 1 through 9, shade 10 "none".</li> <li>This is a multiple response question, meaning more than one item can be shaded.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates if none of the household members own any of the mentioned household amenities. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Source of livelihood <svar v="SS08A060 SS08A162" a="all">42. What is the household's main source of livelihood?<br /><div class="i1">[] 1 Subsistence crop farming<br />[] 2 Subsistence animal husbandry<br />[] 3 Wages and salaries<br />[] 4 Owned business enterprise<br />[] 5 Property income<br />[] 6 Remittance<br />[] 7 Pension<br />[] 8 Humanitarian aid</div><br /></svar> <svar v="SS08A060 SS08A162" a="all"><span class="em">Q42 "What is the household's main source of livelihood?"</span><br /><ul class="b1"> <li>Only one number can be shaded.</li> <li>Shade the number for the source that the respondent says is the most important for the survival of the household. If this source is cut or is not available then the household will find it very difficult to survive.</li> <li>If the respondent is uncertain, read the categories aloud.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the household's main source of livelihood. 1 Subsistence crop farming 2 Subsistence animal husbandry 3 Wages and salaries 4 Owned business enterprise 5 Property income 6 Remittances 7 Pension 8 Humanitarian aid Household Economic Variables -- HOUSEHOLD Any cultivation/plantation <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A061 SS08A163" a="all">43. Does this household perform any cultivation/plantation activities?<br /><div class="i1">[] 1 Yes<br />[] 2 No (skip to Q47)</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A061 SS08A163" a="all"><span class="em">Q43 "Does this household perform any cultivation/plantation activities?"</span><br /><ul class="b1"> <li>If the answer is yes, shade "1"</li> <li>If the answer is no, shade "2" and skip to question 47.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether the household performs any cultivation/plantation activities. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Area of cultivation/plantation <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A062 SS08A164" a="all">44. How large is the area being cultivated by this household? Code area in Feddans. If more than 999, mark "999".<br /><div class="i1">[Q44 was asked of households that are engaged in cultivation or plantation activities, as per Q43.]<br />Area _ _ _</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A062 SS08A164" a="all"><span class="em">Q44 "How large is the area being cultivated by this household?"</span> Code area in <span class="lang">feddans</span>.<br /><ul class="b1"> <li>Write the number of <span class="lang">feddans</span> under cultivation in the boxes and shade the corresponding numbers.</li> </ul><br /><br />[Note: 1 feddan = 4200 square meters = 1.038 acres]<br /></svar> South Sudan 2008: All households This variable indicates the area, in feddans, used for cultivation/plantation by this household. Above 29 feddans, the areas are grouped into intervals. 000 No cultivation/plantation 001 1 feddan 002 2 feddans 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 to 34 035 35 to 39 040 40 to 44 045 45 to 49 050 50 to 54 055 55 to 59 060 60 to 64 065 65 to 69 070 70 to 74 075 75 to 79 080 80 to 84 085 85 to 89 090 90 to 94 095 95 to 99 100 100 to 109 110 110 to 119 120 120 to 129 130 130 to 139 140 140 to 149 150 150 to 159 160 160 to 169 170 170 to 179 180 180 to 189 190 190 to 199 200 200 to 219 220 220 to 239 240 240 to 259 260 260 to 279 280 280 to 299 300 300 to 319 320 320 to 339 340 340 to 359 360 360 to 379 380 380 to 399 400 400 to 419 420 420 to 439 440 440 to 459 460 " 480 480 to 499 500 500 to 519 520 520 to 539 540 540 to 559 560 560 to 579 580 580 to 599 600 600 to 619 620 620 to 639 640 640 to 659 660 660 to 679 680 680 to 699 700 700 to 719 720 720 to 739 740 740 to 759 760 760 to 779 780 780 to 799 800 800 to 819 820 820 to 839 840 840 to 859 860 860 to 879 880 880 to 899 900 900 to 919 920 920 to 939 940 940 to 959 960 960 to 979 980 980 to 998 999 999 or more feddans Other Household Variables -- HOUSEHOLD Cereals <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether this household cultivated cereals during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Vegetables and melons <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether this household cultivated vegetables and melons during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Fruits and nuts <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether this household cultivated fruits and nuts during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Oilseed crops <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether this household cultivated oilseed crops during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Root and tuber crops <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether this household cultivated root and tuber crops during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Beverage and spice crops <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether this household cultivated beverage and spice crops during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Leguminous crops <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether the household cultivated leguminous crops during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Sugar crops <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether the household cultivated sugar crops during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Cotton <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether the household cultivated cotton during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Coffee <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether this household cultivated coffee during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Tea <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether this household cultivated tea during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Other crop <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v=" SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176">45. What type of crops did this household cultivate during the previous year? <br /><div class="i1">[Q45 was asked of households that are engaged in cultivation or plantation activities, per Q43]<br />(Mark all that apply)<br />[] 1 Cereals<br />[] 2 Vegetables<br />[] 3 Fruits and nuts<br />[] 4 Oil seed<br />[] 5 Root and tuber<br />[] 6 Beverage/spice<br />[] 7 Leguminous<br />[] 8 Sugar<br />[] 9 Cotton<br />[] 10 Coffee<br />[] 11 Tea<br />[] 12 Other</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176" a="all"><span class="em">Q45 "What type of crops did this household cultivate during the previous year?"</span><br /><ul class="b1"> <li>Note, this is a multiple response question. You should mark all the crops that were cultivated during the previous 12 months by the household.</li> <li>Shade the appropriate box next to the crops listed:</li> </ul><br /><div class="i2">1. Cereals (sorghum, maize)<br />2. Vegetables (eggplant, tomatoes, melons)<br />3. Fruits and nuts (avocado, bananas)<br />4. Oil seed (groundnuts, oil palm, sesame)<br />5. Root and Tuber (potatoes, yams)<br />6. Beverage/spice (chilies, beverages other than coffee or tea)<br />7. Leguminous (beans and peas)<br />8. Sugar<br />9. Cotton<br />10. Coffee<br />11. Tea<br />12. Other (flowers, tobacco)</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates whether this household cultivated other crops besides those mentioned above during the previous year. 1 Yes 2 No 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Tenure status of land <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A075 SS08A177" a="all"> 46. What is the tenure status of land under cultivation/plantation?<br /><div class="i1">[Q46 was asked of households that are engaged in cultivation or plantation activities, as per Q43.]<br />[] 1 Owned<br />[] 2 Rented<br />[] 3 Partially owned<br />[] 4 Communal</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A075 SS08A177" a="all"><span class="em">Q46 "What is the tenure status of land under cultivation/plantation?"</span><br /><ul class="b1"> <li>Shade the number corresponding to the type of tenure reported by the respondent.</li> <li>Read the categories aloud if the respondent seems confused.</li> </ul><br /><br /><div class="i2">(1) "Owned." A member of the household owns the land.<br /><br />(2) "Rented." A member of the household pays rent for the land.<br /><br />(3) "Partially owned." Land is partly owned by a member of the household.<br /><br />(4) "Communal." Land is shared by member of the community without ownership.</div><br /></svar> South Sudan 2008: Households that cultivate land [discrepancies: none] This variable indicates the tenure status of the land under cultivation/plantation. 1 Owned 2 Rented 3 Partially owned 4 Communal 9 NIU (not in universe) Other Household Variables -- HOUSEHOLD Fishery <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A076 SS08A178" a="all">47. Does this household perform any fishery activities?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A076 SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A178 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186">[Questions 47 and 48 were asked of all households.]<br /></svar></p> <p><svar v="SS08A076 SS08A178" a="all"><span class="em">Q47 "Does this household perform any fishery activities?"</span><br /><ul class="b1"> <li>If the answer is yes, shade "1"</li> <li>If the answer is no, shade "2"</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether the household performs any fishery activities. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Cattle <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186" a="all">48. Does this household own any of the following animals? Code the number for all that apply, if more than 999, code "999")<br /><div class="i1">Cattle _ _ _<br />Camels _ _ _<br />Sheep _ _ _<br />Goats _ _ _<br />Horses _ _ _<br />Donkeys _ _ _<br />Pigs _ _ _<br />Poultry _ _ _</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A076 SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A178 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186">[Questions 47 and 48 were asked of all households.]<br /></svar></p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186"><span class="em">Q48 "Does this household own any of the following animals?"</span> if more than 999, code 999.<br /><ul class="b1"> <li>Read the animal group names, one by one, to the respondent</li> <li>If the respondent says they have no cattle, write and shade "000"</li> <li>If the respondent says they have 5 camels, write and shade "005"</li> <li>Continue until you have a response for every animal group listed</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the number of cattle the household owns. SD08A077 is a 3-digit numeric variable. Top codes:999 = 999+ Other Household Variables -- HOUSEHOLD Camels <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186" a="all">48. Does this household own any of the following animals? Code the number for all that apply, if more than 999, code "999")<br /><div class="i1">Cattle _ _ _<br />Camels _ _ _<br />Sheep _ _ _<br />Goats _ _ _<br />Horses _ _ _<br />Donkeys _ _ _<br />Pigs _ _ _<br />Poultry _ _ _</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A076 SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A178 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186">[Questions 47 and 48 were asked of all households.]<br /></svar></p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186"><span class="em">Q48 "Does this household own any of the following animals?"</span> if more than 999, code 999.<br /><ul class="b1"> <li>Read the animal group names, one by one, to the respondent</li> <li>If the respondent says they have no cattle, write and shade "000"</li> <li>If the respondent says they have 5 camels, write and shade "005"</li> <li>Continue until you have a response for every animal group listed</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the number of camels the household owns. SD08A078 is a 3-digit numeric variable. Top codes:999 = 999+ Other Household Variables -- HOUSEHOLD Sheep <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186" a="all">48. Does this household own any of the following animals? Code the number for all that apply, if more than 999, code "999")<br /><div class="i1">Cattle _ _ _<br />Camels _ _ _<br />Sheep _ _ _<br />Goats _ _ _<br />Horses _ _ _<br />Donkeys _ _ _<br />Pigs _ _ _<br />Poultry _ _ _</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A076 SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A178 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186">[Questions 47 and 48 were asked of all households.]<br /></svar></p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186"><span class="em">Q48 "Does this household own any of the following animals?"</span> if more than 999, code 999.<br /><ul class="b1"> <li>Read the animal group names, one by one, to the respondent</li> <li>If the respondent says they have no cattle, write and shade "000"</li> <li>If the respondent says they have 5 camels, write and shade "005"</li> <li>Continue until you have a response for every animal group listed</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the number of sheep the household owns. SD08A079 is a 3-digit numeric variable. Top codes:999 = 999+ Other Household Variables -- HOUSEHOLD Goats <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186" a="all">48. Does this household own any of the following animals? Code the number for all that apply, if more than 999, code "999")<br /><div class="i1">Cattle _ _ _<br />Camels _ _ _<br />Sheep _ _ _<br />Goats _ _ _<br />Horses _ _ _<br />Donkeys _ _ _<br />Pigs _ _ _<br />Poultry _ _ _</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A076 SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A178 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186">[Questions 47 and 48 were asked of all households.]<br /></svar></p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186"><span class="em">Q48 "Does this household own any of the following animals?"</span> if more than 999, code 999.<br /><ul class="b1"> <li>Read the animal group names, one by one, to the respondent</li> <li>If the respondent says they have no cattle, write and shade "000"</li> <li>If the respondent says they have 5 camels, write and shade "005"</li> <li>Continue until you have a response for every animal group listed</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the number of goats the household owns. SD08A080 is a 3-digit numeric variable. Top codes:999 = 999+ Other Household Variables -- HOUSEHOLD Horses <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186" a="all">48. Does this household own any of the following animals? Code the number for all that apply, if more than 999, code "999")<br /><div class="i1">Cattle _ _ _<br />Camels _ _ _<br />Sheep _ _ _<br />Goats _ _ _<br />Horses _ _ _<br />Donkeys _ _ _<br />Pigs _ _ _<br />Poultry _ _ _</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A076 SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A178 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186">[Questions 47 and 48 were asked of all households.]<br /></svar></p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186"><span class="em">Q48 "Does this household own any of the following animals?"</span> if more than 999, code 999.<br /><ul class="b1"> <li>Read the animal group names, one by one, to the respondent</li> <li>If the respondent says they have no cattle, write and shade "000"</li> <li>If the respondent says they have 5 camels, write and shade "005"</li> <li>Continue until you have a response for every animal group listed</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the number of horses the household owns. SD08A081 is a 3-digit numeric variable. Top codes:100 = 100+ Other Household Variables -- HOUSEHOLD Donkeys <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186" a="all">48. Does this household own any of the following animals? Code the number for all that apply, if more than 999, code "999")<br /><div class="i1">Cattle _ _ _<br />Camels _ _ _<br />Sheep _ _ _<br />Goats _ _ _<br />Horses _ _ _<br />Donkeys _ _ _<br />Pigs _ _ _<br />Poultry _ _ _</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A076 SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A178 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186">[Questions 47 and 48 were asked of all households.]<br /></svar></p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186"><span class="em">Q48 "Does this household own any of the following animals?"</span> if more than 999, code 999.<br /><ul class="b1"> <li>Read the animal group names, one by one, to the respondent</li> <li>If the respondent says they have no cattle, write and shade "000"</li> <li>If the respondent says they have 5 camels, write and shade "005"</li> <li>Continue until you have a response for every animal group listed</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the number of donkeys the household owns. SD08A082 is a 3-digit numeric variable. Top codes:100 = 100+ Other Household Variables -- HOUSEHOLD Pigs <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186" a="all">48. Does this household own any of the following animals? Code the number for all that apply, if more than 999, code "999")<br /><div class="i1">Cattle _ _ _<br />Camels _ _ _<br />Sheep _ _ _<br />Goats _ _ _<br />Horses _ _ _<br />Donkeys _ _ _<br />Pigs _ _ _<br />Poultry _ _ _</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A076 SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A178 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186">[Questions 47 and 48 were asked of all households.]<br /></svar></p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186"><span class="em">Q48 "Does this household own any of the following animals?"</span> if more than 999, code 999.<br /><ul class="b1"> <li>Read the animal group names, one by one, to the respondent</li> <li>If the respondent says they have no cattle, write and shade "000"</li> <li>If the respondent says they have 5 camels, write and shade "005"</li> <li>Continue until you have a response for every animal group listed</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the number of pigs the household owns. SD08A083 is a 2-digit numeric variable. Top codes:30 = 30+ Other Household Variables -- HOUSEHOLD Poultry <span class="em">For households engaged in cultivation/plantation, animal husbandry, fishery</span> <br />[Questions 43 - 48]</p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186" a="all">48. Does this household own any of the following animals? Code the number for all that apply, if more than 999, code "999")<br /><div class="i1">Cattle _ _ _<br />Camels _ _ _<br />Sheep _ _ _<br />Goats _ _ _<br />Horses _ _ _<br />Donkeys _ _ _<br />Pigs _ _ _<br />Poultry _ _ _</div><br /></svar> <span class="h3">7.9 LFQ agricultural questions 43-48</span> <br />These questions are asked of all households whether they are obviously engaged in agricultural activities or not.</p> <p><svar v="SS08A062 SS08A063 SS08A064 SS08A065 SS08A066 SS08A067 SS08A068 SS08A069 SS08A070 SS08A071 SS08A072 SS08A073 SS08A074 SS08A075 SS08A164 SS08A165 SS08A166 SS08A167 SS08A168 SS08A169 SS08A170 SS08A171 SS08A172 SS08A173 SS08A174 SS08A175 SS08A176 SS08A177">[Questions 44 to 46 were only asked of households that responded "yes" to whether they engaged in any cultivation/plantation activities.]<br /></svar></p> <p><svar v="SS08A076 SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A178 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186">[Questions 47 and 48 were asked of all households.]<br /></svar></p> <p><svar v="SS08A077 SS08A078 SS08A079 SS08A080 SS08A081 SS08A082 SS08A083 SS08A084 SS08A179 SS08A180 SS08A181 SS08A182 SS08A183 SS08A184 SS08A185 SS08A186"><span class="em">Q48 "Does this household own any of the following animals?"</span> if more than 999, code 999.<br /><ul class="b1"> <li>Read the animal group names, one by one, to the respondent</li> <li>If the respondent says they have no cattle, write and shade "000"</li> <li>If the respondent says they have 5 camels, write and shade "005"</li> <li>Continue until you have a response for every animal group listed</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates the number of poultry the household owns. SD08A084 is a 3-digit numeric variable. Top codes:999 = 999+ Other Household Variables -- HOUSEHOLD Deaths in last 12 months <span class="h3">Deaths in the household during the last 12 months</span> <br />[Questions 49 - 54]</p> <p><svar v="SS08A085 SS08A187" a="all">49. Was there any deaths among members of the household in the past 12 months?<br /><div class="i1">[] 1 Yes (list names)<br />[] 2 No (end interview)</div><br /></svar> <span class="h3">7.10. LFQ mortality questions 49-54</span> <br />Q43 - Q48 refer to the deaths of any household members during the 12 months before census night. These questions can be upsetting and should be treated sensitively. This information is important to inform officials of the number and cause of deaths in different areas of Sudan.</p> <p><svar v="SS08A085 SS08A187" a="all"><span class="em">Q49 "Were there any deaths among members of this household in the past 12 months?"</span><br /><ul class="b1"> <li>If "Yes", shade number one and continue asking questions.</li> <li>If "No", shade number two and end the interview.</li> </ul><br /></svar> South Sudan 2008: All households This variable indicates whether there were any deaths among household members in the last 12 months. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Flag: type of household South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 4 Imputation from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: type of dwelling South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 4 Imputation from blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: number of rooms South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 4 Imputation from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: tenure South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: source of drinking water South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: source of lighting South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 2 Logical from valid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: cooking fuel South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 2 Logical from valid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: toilet facilities South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: motor vehicle South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: motorcycle South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: bicycle South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: canoe/boat South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: animal transport South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: tractor South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: no transport South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: television South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: radio South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: mobile phone South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: fixed phone South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: computer South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: refrigerator South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: satellite dish South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: fan South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: air cooler/ac South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: no household amenities South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: source of livelihood South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: any cultivation/plantation South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: area of cultivation/plantation South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: cereals South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: vegetables South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: fruits and nuts South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: oil seed South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: root and tuber crops South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: beverage/spice South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: leguminous crops South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: sugar South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: cotton South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: coffee South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: tea South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: other crop South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: tenure status of land South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: fishery South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: cattle South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation Household Imputation Flags Variables -- HOUSEHOLD Flag: camels South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation Household Imputation Flags Variables -- HOUSEHOLD Flag: sheep South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation Household Imputation Flags Variables -- HOUSEHOLD Flag: goats South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation Household Imputation Flags Variables -- HOUSEHOLD Flag: horses South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation Household Imputation Flags Variables -- HOUSEHOLD Flag: donkeys South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation Household Imputation Flags Variables -- HOUSEHOLD Flag: pigs South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Flag: poultry South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation Household Imputation Flags Variables -- HOUSEHOLD Flag: deaths in last 12 months South Sudan 2008: All households This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank Household Imputation Flags Variables -- HOUSEHOLD Housing weight South Sudan 2008: All households This variable indicates the housing weight. This is a 6-digit numeric variable with 4 implied decimal places Technical Household Variables -- HOUSEHOLD Number of death records South Sudan 2008: All households This variable indicates the number of death records. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7+ Other Household Variables -- HOUSEHOLD Strata South Sudan 2008: 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 4-digit numeric variable with 0 implied decimal places Geography: O-Z 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 Age at first marriage or union AGEMARR indicates the person's age at first marriage or consensual union. 00 NIU (not in universe) 10 10 or younger 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 Unknown Demographic Variables -- PERSON Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children ever born CHBORNF indicates the number of female children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children ever born CHBORNM indicates the number of male children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children surviving CHSURVF indicates the number of female children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children surviving CHSURVM indicates the number of male children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of births last year BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. 0 None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving from births last year BIRTHSURV indicates the number of children born in the past twelve months who were still living at the time of the census. 0 0 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON 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 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 citizenship NATION indicates the person's country of citizenship. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt/United Arab Rep. 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24021 Canada, First Nations 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33991 Laos and Cambodia 33992 Malaysia and Singapore 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown Nativity and Birthplace Variables -- PERSON State of birth, South Sudan BPLSS indicates the state in South Sudan in which the person was born. South Sudan and Sudan were enumerated as one country in 2008. States of birth within Sudan are also identified in this variable. 71 Upper Nile 72 Jonglei 73 Unity 81 Warrap 82 Northern Bahr El Ghazal 83 Western Bahr El Ghazal 84 Lakes 91 Western Equatoria 92 Central Equatoria 93 Eastern Equatoria 11 Northern 12 Nahr El Nil 21 Red Sea 22 Kassala 23 Al Gedarif 31 Khartoum 41 Al Gezira 42 White Nile 43 Sinnar 44 Blue Nile 51 North Kordofan 52 South Kardofan 61 North Darfur 62 West Darfur 63 South Darfur 99 Abroad 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 Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Educational attainment, South Sudan EDUCSS indicates the person's educational attainment in South Sudan in terms of the level of schooling and grade completed. 00 NIU (not in universe) 10 None 11 Preschool 23 Primary less than grade 4 24 Primary grade 4 26 Primary grade 6 28 Primary grade 8 31 Junior secondary 3 32 Junior secondary 4 33 Secondary grade 3 34 Secondary grade 4 35 Secondary grade 5 36 Secondary grade 6 41 Post-secondary diploma 42 University first degree 51 Post-graduate diploma 52 Master's degree 53 Doctorate degree Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON 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 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 State of residence 1 year ago, South Sudan; consistent boundaries, GIS MIG1_1_SS indicates the person's state of residence in South Sudan 1 year ago. Infants (children less than one year of age) not included in the universe. Sudan and South Sudan were enumerated as one country in 2008. Enumerated states of residence 1 year ago within Sudan are also included in this variable. 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. 728071 Upper Nile 728072 Jonglei 728073 Unity 728081 Warrap 728082 Northern Bahr El Ghazal 728083 Western Bahr El Ghazal 728084 Lakes 728091 Western Equatoria 728092 Central Equatoria 728093 Eastern Equatoria 728011 Northern 728012 Nahr El Nil 728021 Red Sea 728022 Kassala 728023 Al Gedarif 728031 Khartoum 728041 Al Gezira 728042 White Nile 728043 Sinnar 728044 Blue Nile 728051 North Kordofan 728052 South Kordofan 728061 North Darfur 728062 West Darfur 728063 South Darfur 728098 Abroad 728099 NIU (Not in universe) Migration: O-Z Variables -- PERSON Disability status DISABLED indicates whether the person reported a disability of any kind. 0 NIU (not in universe) 1 Yes, disabled 2 No, not disabled 9 Unknown Disability Variables -- PERSON 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 Blind or vision-impaired DISBLND indicates whether the person was blind or had limited vision. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Deaf or hearing-impaired DISDEAF indicates whether the person was deaf or had limited hearing. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mute or speech impaired DISMUTE indicates if the person could not speak or had a significant speech impediment. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability affecting lower extremities DISLOWR indicates whether the person lacked use of one or both legs. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Disability affecting upper extremities DISUPPR indicates whether the person lacked full use of at least one arm or hand. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Mental disability DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Disability Variables -- PERSON Person number (within household) South Sudan 2008: All persons This variable indicates the person number (within household). 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 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 Technical Person Variables -- PERSON Relationship <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A404 SS08A504" a="all">2. What is the relationship of [the respondent] to the head of household?<br /><div class="i1">[] 1 Head<br />[] 2 Spouse<br />[] 3 Son / daughter<br />[] 4 Wife of son / husband of daughter<br />[] 5 Grandchild<br />[] 6 Niece / nephew<br />[] 7 Parent / parent-in-law<br />[] 8 Sister / brother-in-laws<br />[] 9 Other relative<br />[] 10 Non relative</div><br /></svar> <svar v="SS08A404 SS08A504" a="all"><span class="em">Names of persons in household on census night:</span> Once you have identified an acceptable respondent, begin by asking the respondent who is the head of household and if he/she spent census night with the household. If not, ask who was in charge of the household census night. This person is the "head of household" for census purposes and is the first person to be listed.<br /><br />Guide for listing names on the questionnaire:<br /><div class="i1">1. Head of household (person in charge and present census night)<br />2. Spouse of person listed as head (husband or wife)<br />3. Never married children of the above listed couple from eldest to youngest<br />4. Eldest married child of the head and spouse (son/daughter)<br />5. Spouse of eldest child (wife of son/husband of daughter)<br />6. Children of eldest child and their spouse from eldest to youngest<br />7. List any other married children of head, their spouse, and their children from eldest to youngest<br />8. Second wife of head (if any), assuming the head is male. If first wife is head for the census, second wife is marked as "other relative"<br />9. Parents/parent-in-law of the head<br />10. Brother/sister of the head from eldest to youngest<br />11. Grandchildren of head<br />12. Niece or nephew of head<br />13. Any other relatives like cousins, aunts, etc., mark as "other relative"<br />14. Non-relatives/guests<br />15. Servants, marked as "non-relatives"</div><br /><br />Note: for newborn babies without names, write, "new born". For members of institutional households, mark all as "non-relative".<br /><ul class="b1"> <li>When the respondent gives you a name, ask what is the person's relationship to the "head of household" and sex</li> <li>Shade in the serial number for each person listed</li> <li>Enter the name of each person in the rows under Question 1 (Q1)</li> <li>Write names in full (tripled: name of person, father and grandfather). If the respondent is reluctant to give you the name of a person, write the relationship of the person to another whose name is given. For example: "wife of [respondent]" or "sister of [respondent]"</li> </ul><br /><br />[Below the text is a form showing questions 1-3. This illustration is omitted here]<br /><ul class="b1"> <li>Mark the relationship (Q2) for each person as they are named.</li> </ul><br /><ul class="b2"> <li>Children should always be listed after their mothers, starting with the eldest child.</li> </ul><br /><ul class="b1"> <li>Mark the sex (Q3) for each person as they are named.</li> <li>Ask the respondent to name everyone who spent census night with the household. Shade the serial number, write the name in full, and mark the relationship and sex as each person is listed.</li> <li>If the respondent names more than eight persons who were in the housing unit on census night, you will need to ask them to pause while you get out another questionnaire.</li> <li>When the respondent finishes listing persons, ask if they are sure they have listed all persons who spent census night with the household, especially babies and elderly persons.</li> <li>Ask the respondent if there were any household members working census night such as night-shift workers or hunters away for one night.</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates the person's relationship to the head of household. 01 Head 02 Spouse 03 Daughter/son 04 Spouse of son/daughter 05 Grandchild 06 Niece/nephew 07 Parent/parent in-law 08 Sibling/sibling-in-law 09 Other relative 10 Non-relative Demographic Variables -- PERSON Sex <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A405 SS08A505" a="all">3. Is [the respondent] male or female?<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> South Sudan 2008: All persons This variable indicates the person's sex. 1 Male 2 Female Demographic Variables -- PERSON Age <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A406 SS08A506" a="all">4. What is [the respondent's] age in completed years?<br /><div class="i1">If less than one year, code "0", if over 95, code "95".<br />_ _</div><br /></svar> <svar v="SS08A406 SS08A506" a="all"><span class="em">Q4 "What is [respondent's] age in completed years?"</span><br /><ul class="b1"> <li>Starting with the first person listed "Person 01"; ask, "What is [respondent's] age in completed years?"</li> <li>You must record the person's exact age in completed years on census night.</li> <li>For babies less than one year, write and shade "00" because the child has not yet lived one complete year.</li> <li>If the person is over 94 years of age, write and shade "95". For example, if a person is 98 years old, write and shade "95".</li> <li>In recording the age of a person check whether any documentary evidence such as birth certificate, age assessment certificate, passport, identity card, etc. is available and use it.</li> </ul><br /><br />[Below the text is a form showing questions 4. This illustration is omitted here]<br /><br /><ul class="b1"> <li>If the respondent does not know the age of a person, ask them to estimate the age using the calendar of historical events, ask them if the person was born around some event listed or what events the person remembers.</li> <li>Historical calendar example with ages of persons born in the last column:</li> </ul><br /><br />The following is a table showing examples of historical events [table]:<br /><div class="i1">[Column headings:]<br />(A) Event description<br />(B) Month<br />(C) Year<br />(D) Age/duration in years</div><br /><br />Event description: Independence<br />Month: Blank<br />Year: 1956<br />Age/duration in years: 51<br /><br />Event description: Coup by General Abboud<br />Month: Blank<br />Year: 1957<br />Age/duration in years: 50<br /><br />Event description: Juba and Wau massacre<br />Month: Blank<br />Year: 1965<br />Age/duration in years: 42<br /><br /><ul class="b1"> <li>Do a quick check to make sure the ages given make sense in relation to the age of other household members. For example, if a child's age is 15 years and the parent's age is 25, then this would mean that the parent was 10 years old when the child was born.</li> <li>If an age seems incorrect, ask the respondent if the information seems correct and work with the respondent to get the correct ages of all persons.</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates the person's age in completed years. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ Demographic Variables -- PERSON Nationality <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A407 SS08A507" a="all">5. What is [the respondent's] nationality?<br /><div class="i1">Use the nationality codes on the separate sheet<br />_ _</div><br /></svar> <svar v="SS08A407 SS08A507" a="all"><span class="em">Q5 "What is [respondent's] nationality?"</span><br /><ul class="b1"> <li>Every person is a national or citizen of a country. You should start with the first person listed ("Person 01"); ask, "What is [the respondent's] nationality?"</li> <li>Write the appropriate code for the response given using your nationality code list in the boxes, and then shade the corresponding numbers as you did with age.</li> </ul><br /><br />[Below the text is a form showing question 5 and a list of nationality codes. This illustration is omitted here]<br /></svar> South Sudan 2008: All persons This variable indicates the person's nationality. 1 Sudanese 2 Ugandan 3 Kenyan 4 Congolese (DRC) 5 Chadian 6 Central African 7 Nigerian 8 Other countries Nativity and Birthplace Variables -- PERSON Regional group <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A408 SS08A508" a="all">6. To what regional group does [the respondent] belong?<br /><div class="i1">[] 1 Northern Sudanese<br />[] 2 Southern Sudanese<br />[] 3 Non Sudanese<br />[] 4 No response</div><br /></svar> <svar v="SS08A408 SS08A508" a="all"><span class="em">Q6 "To what regional group does [the respondent] belong?"</span><br /><ul class="b1"> <li>If the person says they are northern Sudanese mark code "1", if southern Sudanese mark code "2". If non-Sudanese mark code "3". For persons who are not able or refuse to answer this question mark code "4"</li> <li>Mark a response for all persons</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates the person's regional group (Northern or Southern). 1 Northern Sudanese 2 Southern Sudanese 3 Non-Sudanese Nativity and Birthplace Variables -- PERSON Region of origin <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A409 SS08A509" a="all">7. What is [the respondent's] region of origin?<br /><div class="i1">[] 1 Northern<br />[] 2 Eastern<br />[] 3 Khartoum<br />[] 4 Central<br />[] 5 Kordofan<br />[] 6 Darfur<br />[] 7 Upper Nile<br />[] 8 Bahr El Ghazal<br />[] 9 Equatoria<br />[] 10 Not Sudan<br />[] 11 No response</div><br /></svar> <svar v="SS08A409 SS08A509" a="all"><span class="em">Q7 "What is [the respondent's] region of origin?"</span><br /><ul class="b1"> <li>You may want to read the code list of the nine regions to the respondent to help them provide correct answers</li> <li>Some respondents may give you the name of a village or a state name. For reference purpose, the names of the states in each region are given in the following box</li> <li>If a person does not originate in Sudan, shade "10" for "not Sudan"</li> <li>If a person cannot or refuses to answer, shade "11" for "no response"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates the person's region of origin. 01 Northern 02 Eastern 03 Khartoum 04 Central 05 Kordofan 06 Darfur 07 Upper Nile 08 Bahr El Ghazal 09 Equatoria 10 Not Sudan 11 Unknown Nativity and Birthplace Variables -- PERSON State of birth <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A410 SS08A510" a="all">8. In what state was [the respondent] born?<br /><div class="i1">If not born in Sudan, code "99". Use the state codes on the separate sheet<br />_ _</div><br /></svar> <svar v="SS08A410 SS08A510" a="all"><span class="em">Q8 "In what state was [the respondent] born?"</span><br /><ul class="b1"> <li>If the person was born in Sudan, enter the appropriate state code in the first and second lines from the state code list provided and shade the corresponding digits.</li> <li>If the respondent states that the person was not born in Sudan, write code "99" and shade the corresponding digits.</li> <li>Never assume a person's place of birth.</li> </ul><br /><br />[Below the text is a form showing question 8. This illustration is omitted here]<br /></svar> South Sudan 2008: All persons This variable indicates the person's state of birth. 71 Upper Nile 72 Jonglei 73 Unity 81 Warrap 82 Northern Bahr El Ghazal 83 Western Bahr El Ghazal 84 Lakes 91 Western Equatoria 92 Central Equatoria 93 Eastern Equatoria 11 Northern 12 Nahr El Nil 21 Red Sea 22 Kassala 23 Al Gedarif 31 Khartoum 41 Al Gezira 42 White Nile 43 Sinnar 44 Blue Nile 51 North Kordofan 52 South Kordofan 61 North Darfur 62 West Darfur 63 South Darfur 99 Abroad Nativity and Birthplace Variables -- PERSON State of usual residence <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A411 SS08A412 SS08A511 SS08A512" a="all">9. What is [the respondent's] current usual state of usual residence? Where [the respondent] lived or intends to live for 6 months or more.<br /><div class="i1">If foreigner less than 1 year old, code "99". Use the state codes on the separate sheet.<br />_ _</div><br /></svar> <svar v="SS08A411 SS08A412 SS08A511 SS08A512" a="all"><span class="em">Q9 "What is [the respondent's] current state and county/<span class="lang">mahaliya</span> of usual residence?"</span><br /><ul class="b1"> <li>The place of usual residence is where a person lives and sleeps at least 6 out of the last 12 months or intends to live 6 out of the next 12 months.</li> <li>Write the two digit state codes in the first and second boxes and shade the corresponding digits.</li> <li>Write the two digit county/<span class="lang">mahaliya</span> codes in the next two boxes and shade the corresponding digits.</li> <li>If a person is a foreign visitor without a usual residence in Sudan, write "99" in both the state and county/<span class="lang">mahaliya</span> boxes and shade the corresponding digits.</li> <li>Never assume that a person's state and county of usual residence is the place where they spent census night.</li> <li>Please see annex 6 for the complete list of state and county codes.</li> </ul><br /><br />[Below the text is a form showing questions 9-10 and a list of state codes. This illustration is omitted here]<br /></svar> South Sudan 2008: All persons This variable indicates the person's state of usual residence. 71 Upper Nile 72 Jonglei 73 Unity 81 Warrap 82 Northern Bahr El Ghazal 83 Western Bahr El Ghazal 84 Lakes 91 Western Equatoria 92 Central Equatoria 93 Eastern Equatoria 10 Northern region 20 Eastern region 31 Khartoum 40 Al Gezira 44 Blue Nile 51 North Kordofan 52 South Kordofan 61 North Darfur 62 West Darfur 63 South Darfur 99 Abroad Migration: Global Variables -- PERSON Duration of residence <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A413 SS08A513" a="all">10. How many years has [the respondent] lived continuously in the state of usual residence?<br /><div class="i1">If less than one year, code "0". If foreigner less than one year, code "99"<br />_ _</div><br /></svar> <svar v="SS08A413 SS08A513" a="all"><span class="em">Q10 "How many years has [the respondent] lived continuously in the state of usual residence?"</span><br /><ul class="b1"> <li>You may refer back to the state and county mentioned in question 9, "How many years has [the respondent] lived in <span class="lang">Wulu</span> county in Lakes State?" for example.</li> <li>Write the number of years of residence as of census night in the boxes provided and shade the corresponding digits.</li> <li>If the person has lived in the state for less than one year, write code "00" and shade the corresponding digits.</li> <li>If the person is a visitor and has no usual state of residence, write "99" and shade the corresponding digits.</li> </ul><br /><br />Be sure to check the duration of residence with the age of a particular person. If a person's age was given or estimated as 32 and the respondent states that this person has been a resident of the state for 35 years, then you should stop and verify which answer is correct -- the person's age or their duration of residence. A person cannot live in a state longer than they have been alive.<br /></svar> South Sudan 2008: All persons This variable indicates the number of years the person has lived continuously in the state of usual residence. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 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+ Migration: Global Variables -- PERSON Previous residence 1 year ago <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A414 SS08A514" a="all">11. In what state did [the respondent] usually reside this time last year?<br /><div class="i1">If foreigner less than 1 year, code "99". Use the state codes on the separate sheet.<br />_ _</div><br /></svar> <svar v="SS08A414 SS08A514" a="all"><span class="em">Q11 "In what state did [the respondent] usually reside this time last year?"</span><br /><ul class="b1"> <li>Continuing with the first person listed "Person 01"; ask "In what state did [the respondent] usually reside this time last year?"</li> <li>If the person was residing in Sudan, identify the state where the person was living, write the state code in the boxes provided from the state code list and shade the appropriate numbers.</li> <li>If the respondent states that he/she was not residing in Sudan, write and shade the numbers "99" to indicate that he/she was residing outside Sudan.</li> </ul><br /></svar> South Sudan 2008: Persons age 1+ [discrepancies: none] This variable indicates the person's state of residence last year. 71 Upper Nile 72 Jonglei 73 Unity 81 Warrap 82 Northern Bahr El Ghazal 83 Western Bahr El Ghazal 84 Lakes 91 Western Equatoria 92 Central Equatoria 93 Eastern Equatoria 11 Northern 12 Nahr El Nil 21 Red Sea 22 Kassala 23 Al Gedarif 31 Khartoum 41 Al Gezira 42 White Nile 43 Sinnar 44 Blue Nile 51 North Kordofan 52 South Kordofan 61 North Darfur 62 West Darfur 63 South Darfur 98 Abroad 99 NIU (not in universe) Migration: Global Variables -- PERSON Mother's survival <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A415 SS08A515 SS08A566" a="all">12. Is [the respondent's] biological mother alive?<br /><div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><br /></svar> <svar v="SS08A415 SS08A515 SS08A566" a="all"><span class="em">Q12 "Is [the respondent's] biological mother alive?"</span> Continuing with the first person listed "Person 01"; ask if this person's mother is still alive. Shade the appropriate number as follows: 1 for "Yes", 2 for "No", or 3 for "Don't know".<br /></svar> South Sudan 2008: All persons This variable indicates whether the person's mother is still alive. 1 Mother alive 2 Mother dead Fertility and Mortality Variables -- PERSON Father's survival <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A416 SS08A516 SS08A566" a=" SS08A416 SS08A516">13. Is [the respondent's] biological father alive?<br /><div class="i1">[] 1 Yes<br />[] 2 No<br />[] 3 Don't know</div><br /></svar> <svar v="SS08A416 SS08A516 SS08A566" a="SS08A416 SS08A516"><span class="em">Q13 "Is [the respondent's] biological father alive?"</span> Continuing with the first person listed "Person 01"; ask if this person's father is still alive. Shade the number which corresponds to their answer as follows: 1 for "Yes", 2 for "No", or 3 for "Don't know".<br /></svar> South Sudan 2008: All persons This variable indicates whether the person's father is still alive. 1 Father alive 2 Father dead Fertility and Mortality Variables -- PERSON Limited use of leg(s) <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person has limited use of leg(s). 1 Yes 2 No Disability Variables -- PERSON Loss of leg(s) <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person has loss of leg(s). 1 Yes 2 No Disability Variables -- PERSON Limited use of arm(s) <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person has limited use of arm(s). 1 Yes 2 No Disability Variables -- PERSON Loss of arm(s) <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person has loss of arm(s). 1 Yes 2 No Disability Variables -- PERSON Difficulty in hearing <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person has difficulty in hearing. 1 Yes 2 No Disability Variables -- PERSON Deaf <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person is deaf. 1 Yes 2 No Disability Variables -- PERSON Difficulty seeing <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person has difficulty in seeing. 1 Yes 2 No Disability Variables -- PERSON Blind <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person is blind. 1 Yes 2 No Disability Variables -- PERSON Difficulty in speaking <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person has difficulty in speaking. 1 Yes 2 No Disability Variables -- PERSON Mute <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person is mute. 1 Yes 2 No Disability Variables -- PERSON Mental difficulty <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person has mental difficulty. 1 Yes 2 No Disability Variables -- PERSON Have disability <span class="em">Details of persons in the household -- All household members</span> <br />[Questions 1 to 14: All persons]</p> <p><svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A528 SS08A529 SS08A567" a="all">14. Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?<br /><div class="i1">(Mark all that apply)<br />[] 1 Limited use of legs<br />[] 2 Loss of leg(s)<br />[] 3 Limited use of arms<br />[] 4 Loss of arm(s)<br />[] 5 Difficulty in hearing<br />[] 6 Deaf<br />[] 7 Difficulty in seeing<br />[] 8 Blind<br />[] 9 Difficulty in speaking<br />[] 10 Mute<br />[] 11 Mental disability<br />[] 12 No disability<br />[] 13 Don't know</div><br /></svar> <svar v="SS08A417 SS08A418 SS08A419 SS08A420 SS08A421 SS08A422 SS08A423 SS08A424 SS08A425 SS08A426 SS08A427 SS08A428 SS08A429 SS08A517 SS08A518 SS08A519 SS08A520 SS08A521 SS08A522 SS08A523 SS08A524 SS08A525 SS08A526 SS08A527 SS08A529 SS08A529 SS08A567" a="all"><span class="em">Q14 "Does [the respondent] have any difficulty in moving, seeing, hearing, speaking or learning?"</span> Continuing with the first person listed "Person 01", ask question 14. You must ask the question exactly as it is written on the questionnaire. Do not ask if the person has any form of handicap or disability.<br /><ul class="b1"> <li>If the respondent states that a person has no difficulty in moving, seeing, hearing, speaking or learning, shade "12" for "No disability"</li> <li>If the respondent states that a person does have difficulty in moving, seeing, hearing, speaking or learning, ask the respondent to mention all problems the person has. Shade the appropriate number of all problems mentioned. For example, a person may be deaf and mute, which means that you would shade "6" for "Deaf" and "10" for "Mute"</li> <li>If the respondent doesn't know if a person has any difficulties, ask if anyone else in the household would be able to answer the question. If no one is able to speak for the person, then shade "13" for "Don't know"</li> <li>This is a multiple response question. Shade all difficulties mentioned for a person, or shade 12 for "No disability" or 13 for "Don't know"</li> </ul><br /></svar> South Sudan 2008: All persons This variable indicates whether the person has no disability(ies). 0 No disability 1 Yes, has disability Disability Variables -- PERSON Literacy <svar v="SS08A430 SS08A431 SS08A432 SS08A433 SS08A530 SS08A531 SS08A532 SS08A533"><span class="em">Education status</span><br />[Questions 15 - 18: Persons age 6 or older]<br /></svar></p> <p><svar v="SS08A430 SS08A530" a="all">15. Can [the respondent] read and write with understanding a simple sentence in any language?<br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> <svar v="SS08A430 SS08A431 SS08A432 SS08A433 SS08A530 SS08A531 SS08A532 SS08A533"><span class="h3">7.4. LFQ educational status questions 15-18</span><br />Note: these questions should be asked only to persons aged 6 years and above. Check the age of the persons as reported in question 4. If they are less than 6 years old, then you are finished asking questions about that person. Go to the next person listed in the questionnaire.<br />Asking questions only for persons of certain ages or only of females is called a "skip pattern". Skip patterns are used to avoid asking questions of persons that don't make sense. For example, asking if a 1-year-old baby attends school.<br /></svar></p> <p><svar v="SS08A430 SS08A530" a="all"><span class="em">Q15 "Can [the respondent] read and write, with understanding, a simple sentence in any language?"</span> Continuing with the first person listed "Person 01" <span class="em">if they are 6 years old or over</span>, ask question 15 as written on the questionnaire.<br /><ul class="b1"> <li>Shade the number of the answer given: 1 for "Yes", and 2 for "No"</li> </ul><br /></svar> South Sudan 2008: Persons age 6+ [discrepancies: none] This variable indicates whether the person is literate. 1 Yes 2 No 9 NIU (not in universe) Education Variables -- PERSON School attendence <svar v="SS08A430 SS08A431 SS08A432 SS08A433 SS08A530 SS08A531 SS08A532 SS08A533"><span class="em">Education status</span><br />[Questions 15 - 18: Persons age 6 or older]<br /></svar></p> <p><svar v="SS08A431 SS08A531" a="all">16. Has [the respondent] ever attended, or is currently attending school this year?<br /><div class="i1">[] 1 Currently attending<br />[] 2 Previously attended (skip to Q18)<br />[] 3 Never attended (skip to Q19)</div><br /></svar> <svar v="SS08A430 SS08A431 SS08A432 SS08A433 SS08A530 SS08A531 SS08A532 SS08A533"><span class="h3">7.4. LFQ educational status questions 15-18</span><br />Note: these questions should be asked only to persons aged 6 years and above. Check the age of the persons as reported in question 4. If they are less than 6 years old, then you are finished asking questions about that person. Go to the next person listed in the questionnaire.<br />Asking questions only for persons of certain ages or only of females is called a "skip pattern". Skip patterns are used to avoid asking questions of persons that don't make sense. For example, asking if a 1-year-old baby attends school.<br /></svar></p> <p><svar v="SS08A431 SS08A531" a="all"><span class="em">Q16 "Has [the respondent] ever attended, never attended, or is currently attending school this year?"</span> Continuing with the first person listed "Person 01" <span class="em">age 6 years and over</span>, ask question 16 and shade the number of the response.<br /><ul class="b1"> <li>"School attendance" refers to any regular educational institution, public or private, for systematic instruction at any level of education. Examples include: primary schools, secondary or high schools, technical schools, agricultural institutions, teacher training colleges and universities.</li> <li>School attendance should be full time participation. <span class="em">Adult or short-term vocational training are not to be classified as school attendance</span>.</li> </ul><br /><div class="i2"><span class="ital">(1) "Currently attending"</span> refers to all persons who are now attending formal educational institutions and include those who are temporarily absent from school or those on holiday.<br /><span class="ital">(2) "Previously attended"</span> refers to those who once attended formal school but have left or completed their cycle and are no longer attending.<br /><span class="ital">(3)"Never attended"</span> is for those, who have never attended any formal educational institution at all.</div><br /><ul class="b1"> <li>For the purposes of the census, Koranic schools (<span class="lang">khalwa</span>) are treated as regular educational institutions.</li> </ul><br /><br />Note: There are skips in question 16 depending on the response given:<br /><div class="i1">1. Currently attending, continue with question 17.<br />2. Previously attended, skip to question 18.<br />3. Never attended, skip to question 19.</div><br /></svar> South Sudan 2008: Persons age 6+ [discrepancies: none] This variable indicates whether the person has ever attended school. 1 Currently attending 2 Previously attended 3 Never attended 9 NIU (not in universe) Education Variables -- PERSON School level attending <svar v="SS08A430 SS08A431 SS08A432 SS08A433 SS08A530 SS08A531 SS08A532 SS08A533"><span class="em">Education status</span><br />[Questions 15 - 18: Persons age 6 or older]<br /></svar></p> <p><svar v="SS08A432 SS08A532" a="all">17. For those currently attending: what is the grade and level that [the respondent] is attending?<br /><div class="i1">[Q17 is asked of persons age 6 or older who are currently attending school, as per Q16.]<br />[] 1 P1<br />[] 2 P2<br />[] 3 P3<br />[] 4 P4<br />[] 5 P5<br />[] 6 P6<br />[] 7 P7<br />[] 8 P8<br />[] 9 S1<br />[] 10 S2<br />[] 11 S3<br />[] 12 S4<br />[] 13 S5<br />[] 14 S6<br />[] 15 Post secondary diploma program<br />[] 16 College<br />[] 17 University<br />[] 18 Master degree<br />[] 19 Ph.D. degree</div><br /></svar> <svar v="SS08A430 SS08A431 SS08A432 SS08A433 SS08A530 SS08A531 SS08A532 SS08A533"><span class="h3">7.4. LFQ educational status questions 15-18</span><br />Note: these questions should be asked only to persons aged 6 years and above. Check the age of the persons as reported in question 4. If they are less than 6 years old, then you are finished asking questions about that person. Go to the next person listed in the questionnaire.<br />Asking questions only for persons of certain ages or only of females is called a "skip pattern". Skip patterns are used to avoid asking questions of persons that don't make sense. For example, asking if a 1-year-old baby attends school.<br /></svar></p> <p><svar v="SS08A432 SS08A532" a="all"><span class="em">Q17 For those currently attending: "What is the grade and level that [the respondent] is attending?"</span> Continuing with the first person "Person 01" <span class="em">age 6 years and over and currently attending in question 16</span>, ask question 17.<br /><ul class="b1"> <li>Shade the appropriate level/grade code that corresponds to the given response.</li> <li>Check that the reported level/grade's minimum age is consistent with the age of the respondent as reported in Q4. For example, it is unlikely that a person 8 years old is attending college "16".</li> <li>If there is any confusion or doubt, confirm answers with the respondent -- you must record what the respondent tells you, not what you think is true.</li> </ul><br /></svar> South Sudan 2008: Persons age 6+ who are currently attending school [discrepancies: none] This variable indicates the school level the person is attending. 01 P1 02 P2 03 P3 04 P4 05 P5 06 P6 07 P7 08 P8 09 S1 10 S2 11 S3 12 S4 15 Post secondary/diploma program 16 College 17 University 18 Masters or PhD program 99 NIU (not in universe) Education Variables -- PERSON Education attainment <svar v="SS08A430 SS08A431 SS08A432 SS08A433 SS08A530 SS08A531 SS08A532 SS08A533"><span class="em">Education status</span><br />[Questions 15 - 18: Persons age 6 or older]<br /></svar></p> <p><svar v="SS08A433 SS08A533" a="all">18. What is the highest level [the respondent] completed?<br /><div class="i1">[Q18 is asked of persons age 6 or older who are currently attending school or have attended school, as per Q16.]<br />[] 1 No qualification (previously)<br />[] 2 Incomplete primary (currently)<br />[] 3 Primary 4<br />[] 4 Primary 6<br />[] 5 Primary 8<br />[] 6 Junior 3<br />[] 7 Junior 4<br />[] 8 Secondary 3<br />[] 9 Secondary 4<br />[] 10 Secondary 5<br />[] 11 Secondary 6<br />[] 12 Postsecondary diploma<br />[] 13 University first degree<br />[] 14 Postgraduate diploma<br />[] 15 Master's degree<br />[] 16 Ph.D. degree<br />[] 17 <span class="lang">Khawa</span></div><br /></svar> <svar v="SS08A430 SS08A431 SS08A432 SS08A433 SS08A530 SS08A531 SS08A532 SS08A533"><span class="h3">7.4. LFQ educational status questions 15-18</span><br />Note: these questions should be asked only to persons aged 6 years and above. Check the age of the persons as reported in question 4. If they are less than 6 years old, then you are finished asking questions about that person. Go to the next person listed in the questionnaire.<br />Asking questions only for persons of certain ages or only of females is called a "skip pattern". Skip patterns are used to avoid asking questions of persons that don't make sense. For example, asking if a 1-year-old baby attends school.<br /></svar></p> <p><svar v="SS08A433 SS08A533" a="all"><span class="em">Q18 For those currently and previously attending school: "What is the highest level [the respondent] completed?"</span> Continuing with the first person "Person 01" <span class="em">age 6 years and over and currently attending or previously attended in question 16</span>, ask question 18.<br /><ul class="b1"> <li>Shade the number that corresponds to the appropriate educational level.</li> <li>Note that 1 "No qualification" is applicable only for those who have previously attended school and 2 "Incomplete primary" is only applicable for those currently attending school.</li> </ul><br /></svar> South Sudan 2008: Persons who ever attended school [discrepancies: none] This variable indicates the person's highest level of educational attainment. 01 No qualification 02 Incomplete primary 03 Primary 4 04 Primary 6 05 Primary 8 06 Junior 3 07 Junior 4 08 Secondary 3 09 Secondary 4 10 Secondary 5 11 Secondary 6 12 Post-secondary diploma 13 University first degree 14 Post-graduate diploma 15 Masters degree 16 PhD degree 17 Khalwa 99 NIU (not in universe) Education Variables -- PERSON Activity status <svar v="SS08A434 SS08A435 SS08A436 SS08A437 SS08A438 SS08A534 SS08A535 SS08A536 SS08A537 SS08A538"><span class="em">Economic activity</span><br />[Questions 19 - 23: Persons age 10 or older]<br /></svar></p> <p><svar v="SS08A434 SS08A534" a="all">19. During the week before census night, did [the respondent] work at least one hour for pay (or without pay), profit, in kind, or for family business?<br /><div class="i1">[] 1 Worked (skip to Q21)<br />[] 2 Did not work but have a job to go back to (skip to Q21)<br />[] 3 Did not work but worked before and seeking work and available for work (skip to Q21)<br />[] 4 Did not work, seeking work for the first time and available for work (skip to Q24)<br />[] 5 Did not work and not seeking work</div><br /></svar> <span class="h3">7.5. LFQ economic status questions 19-23</span></p> <p>The remaining questions are only asked of persons aged 10 years old and above. If you are asking questions for a person 9 years old or less, stop and go to the next person listed on the questionnaire. These questions refer to the period of time 7 days prior to census night.</p> <p><svar v="SS08A434 SS08A534" a="all"><span class="em">Q19 "During the week before census night, did [the respondent] work at least one hour for pay (or without pay), profit, in kind or for family business?"</span> Continuing with the first person listed "Person 01" <span class="em">10 years old or over</span>, ask question 17.<br /><ul class="b1"> <li>Shade the number that corresponds to the given response.</li> <li>Never assume that female members of the household are homemakers and do not work. You must probe to get the correct response.</li> </ul><br /><br />[Below the text is a form showing question 19. This illustration is omitted here]<br /><br /><span class="ital"> (1) "Worked"</span> (skip to Q21). Those who should be considered as having worked last week include:<br /><div class="i1">a) All persons at least 10 years old who were in paid employment during the 7 days preceding census night, no matter how much they were paid.<br />b) All who worked at least one hour for food, goods, or services even if it was their own/family business or farm, including: small shop owners, cattle herders, basket weavers, traditional beer makers, roadside fruit sellers, wayside barbers, or tea and coffee sellers.<br />c) Farmers, hunters and fishermen (male or female) who worked producing or capturing food for their own household, if this makes up a large part of the food for the household. Women who gather food for household consumption are included in this category.<br />d) Apprentices who worked at least one hour, whether paid or not.<br />e) Homemakers who also worked on the family farm/business, or worked some outside the home to earn money. Such as:</div><br /><ul class="b2"> <li>Persons who collect firewood and sell part of it.</li> <li>Persons who make and sell traditional beer.</li> <li>Persons who milk cattle and sell part of the milk.</li> <li>Persons who weave baskets and sell them.</li> </ul><br /><div class="i1">f) Students, who while studying, were at the same time in paid or unpaid employment. Students who look after cattle after school hours or at weekends should be included in this category.</div><br /><br /><span class="ital">(2) "Did not work but have job to go back to"</span> (skip to Q21). Includes those with jobs, businesses or farms that were temporarily not at work the week before census night for a specific reason, such as:<br /><ul class="b1"> <li>Farmers not working because of drought.</li> <li>Temporarily away from work/job because of illness, maternity leave, or vacation.</li> <li>Did not work because there were no customers that week (hairdressers, dressmakers, painters, etc.)</li> <li>Workers temporarily off from work but have been assured that they will go back to work (construction workers who are waiting for materials for example.)</li> <li>Persons who have a job but took other temporary work that week, such as teachers involved in the census work.</li> </ul><br /><br /><span class="ital">(3) "Did not work but worked before and seeking work and available for work"</span> (skip to Q21). Includes persons who were not working, had no job, but were looking for and available for work.<br /><ul class="b1"> <li>This includes persons who completed applications for employment, checked at work sites, asked for work at businesses, or looked for land or money to establish their own business</li> </ul><br /><br /><span class="ital">(4) "Did not work, seeking work for the first time and available for work"</span> (skip to Q24). Includes persons who have never had a job, paid or unpaid, but are seeking and available for work.<br /><br /><span class="ital">(5) "Did not work, and not seeking work."</span> Includes persons who did not work at all (paid or unpaid), were not temporarily away from work, and are not looking for work.<br /></svar> South Sudan 2008: Persons age 10+ [discrepancies: none] This variable indicates the person's employment status. 1 Worked last week 2 Temporarily away from job 3 Worked before and seeking work 4 First time job seeker 5 Not working or seeking work 9 NIU (not in universe) Work Variables -- PERSON Reason for economic inactivity <svar v="SS08A434 SS08A435 SS08A436 SS08A437 SS08A438 SS08A534 SS08A535 SS08A536 SS08A537 SS08A538"><span class="em">Economic activity</span><br />[Questions 19 - 23: Persons age 10 or older]<br /></svar></p> <p><svar v="SS08A435 SS08A535" a="all">20. For those who did no work and were not seeking work, why did [the respondent] not seek work?<br /><div class="i1">[Q20 is asked of persons age 10 or older who did not work and are not seeking work, as per Q19.]<br />[] 1 No hope of finding job<br />[] 2 Full-time student<br />[] 3 Income recipient<br />[] 4 Too old<br />[] 5 Disabled / too sick<br />[] 6 Full-time homemaker / housewife<br />[] 7 Pensioner / retired</div><br /></svar> <span class="h3">7.5. LFQ economic status questions 19-23</span></p> <p>The remaining questions are only asked of persons aged 10 years old and above. If you are asking questions for a person 9 years old or less, stop and go to the next person listed on the questionnaire. These questions refer to the period of time 7 days prior to census night.</p> <p><svar v="SS08A435 SS08A535" a="all"><span class="em">Q20 For those who did no work and were not seeking work, "Why did [the respondent] not seek work?"</span> This question applies only to those persons who were coded "5" in Q19. Continuing with the first person listed "Person 01" 10 years old or over who responded "5" in question 19, ask question 20. Possible responses include:<br /><br /><span class="ital">(1) "No hope to find a job."</span> Includes persons who have given up looking for a job, but will accept one if offered.<br /><br /><span class="ital">(2) "Full time student."</span> Includes any male or female 10 years or older who were attending school the week before census night, who were not engaged in any work as previously defined and were not seeking or available for work.<br /><br /><span class="ital">(3) "Income recipient."</span> Includes persons who were not engaged in any work but who received money from rents or other investments.<br /><br /><span class="ital">(4) "Too old."</span> Includes those not working or seeking work due to old age. Old persons currently working should coded "1" in question 19. Old persons who are receiving income from rent or other investments should be coded "3" in question 20.<br /><br /><span class="ital">(5) "Disabled/too sick."</span> Includes those who were not working or looking for work because either a disability or long illness prevents them from doing so. Those who are disabled or ill who receive income should be coded "3" and those who receive pensions should be coded "7".<br /><br /><span class="ital">(6) "Full-time homemaker."</span> Includes any male or female who was wholly engaged in household duties the week prior to census night and were not engaged in any work for pay, goods, or services of any kind nor looking for work.<br /><br />Note: Persons, male or female, who while engaged in household duties were also actively looking for work and available for work should be coded 03 if worked before or 04 if seeking work for the first time in Q19.<br /><br /><span class="ital">(7) "Retired/Pensioner."</span> Includes those who've retired from work or who receive pensions who are not working or seeking work. Note that retired persons currently in paid or self-employment should be classified as working and coded 1 in Q19. Likewise, retired persons who are receiving income from rent or other investments should be coded 3 in this question.<br /></svar> South Sudan 2008: Persons age 10+ who did not work and were not seeking work last week [discrepancies: none] This variable indicates the reason for economic inactivity. 1 No hope to find job 2 Full-time student 3 Income recipient 4 Too old 5 Disabled/too sick 6 Full-time homemaker 7 Pensioner/retired 9 NIU (not in universe) Work Variables -- PERSON Occupation <svar v="SS08A434 SS08A435 SS08A436 SS08A437 SS08A438 SS08A534 SS08A535 SS08A536 SS08A537 SS08A538"><span class="em">Economic activity</span><br />[Questions 19 - 23: Persons age 10 or older]<br /></svar></p> <p><svar v="SS08A436 SS08A536" a="all">21. For those who worked or have worked before (Q19, codes 1-3), state in detail, the main job that [the respondent] was engaged in during the week before census night?<br /><div class="i1">[Q21 is asked of persons age 10 or older who worked, did not work but have a job to go back to, or did not work but last week but have work and seeking work and available for work, as per Q19.]<br />Occupation ________</div><br /></svar> <span class="h3">7.5. LFQ economic status questions 19-23</span></p> <p>The remaining questions are only asked of persons aged 10 years old and above. If you are asking questions for a person 9 years old or less, stop and go to the next person listed on the questionnaire. These questions refer to the period of time 7 days prior to census night.</p> <p><svar v="SS08A436 SS08A536" a="all"><span class="em">Q21 For those who worked or have worked before (Q19, 1-3), state in detail, the main job that [the respondent] was engaged in during the week before census night? (occupation)</span> This question applies only to those persons who were coded "1-3" in Q19. Continuing with the first person listed "Person 01" 10 years old or over who responded "1,2, or 3" in question 19, ask question 21.<br /><ul class="b1"> <li>Occupation refers to the type of work, trade or profession performed by an individual during the reference period.</li> <li>For persons with more than one occupation at the same time, record the person's main occupation -- where he/she spends most of the time.</li> <li>Write a short description of the type of work the person performed for most of the reference period. The type of work should be recorded as fully as possible, examples include:</li> </ul><br /><ul class="b2"> <li>Village headman</li> <li>Government official</li> <li>Typist</li> <li>Head of Finance</li> <li>Bartender</li> <li>Computer programmer</li> <li>Lawyer</li> <li>Waiter/waitress</li> <li>Minister</li> <li>Motor vehicle mechanic</li> <li>Cook</li> <li>Panel beating</li> <li>Taxi driver</li> <li>Primary school teacher</li> <li>Mechanical engineer</li> <li>Hairdresser</li> <li>Assistant nurse</li> <li>Coffee or tea seller</li> </ul><br /><br />Avoid unclear or general descriptions as operator, foreman, or clerk.<br /><br />Do not make any marks in the boxes. Write your answers in the red space provided. Office clerks will use your written answer to assign occupation and industry codes in the office. Write as neatly as possible.<br /></svar> South Sudan 2008: Persons age 10+ who worked or were seeking work not for the first time [discrepancies: none] This variable indicates the person's occupation. 01 Armed forces 11 Chief executives senior officials and legislators 12 Administrative and commercial managers 14 Hospitality, retail and other services managers 22 Health professionals 23 Teaching professionals 24 Business, administration and information technology professionals 26 Legal, social and cultural professionals 31 Science and engineering associate professionals 32 Health associate professionals 33 Business and administration associate professionals 34 Legal, social, cultural and related associate professionals 35 Information and communications technicians (ICT) 41 General and keyboard clerks 42 Customer services clerks 43 Numerical and material recording clerks 44 Other clerical support workers 51 Personal service workers 52 Sales workers 53 Personal care workers 54 Protective services workers 61 Market-oriented skilled forestry, fishery and hunting workers 63 Subsistence farmers, fishers, hunters and gatherers 71 Building and related trades workers, excluding electricians 72 Metal, machinery and related trades workers 73 Handicraft and printing workers 74 Electrical and electronic trades workers 75 Food processing, wood working, garment and other craft and related trades workers 83 Drivers and mobile plant operators 91 Cleaners and helpers 92 Agricultural, forestry and fishery labourers 93 Labourers in mining, construction, manufacturing and transport 94 Food preparation assistants 95 Street and related sales and service workers 96 Refuse workers and other elementary workers 97 Other workers, response suppressed 99 NIU (not in universe) Work: Occupation Variables -- PERSON Industry <svar v="SS08A434 SS08A435 SS08A436 SS08A437 SS08A438 SS08A534 SS08A535 SS08A536 SS08A537 SS08A538"><span class="em">Economic activity</span><br />[Questions 19 - 23: Persons age 10 or older]<br /></svar></p> <p><svar v="SS08A437 SS08A537" a="all">22. For those who worked or have worked before (Q19, codes 1-3), what was [the respondent's] place of work or main activity of [the respondent's] place of work during the week before census night?<br /><div class="i1">[Q21 is asked of persons age 10 or older who worked, did not work but have a job to go back to, or did not work but last week but have work and seeking work and available for work, as per Q19.]<br />Industry ________ _ _</div><br /></svar> <span class="h3">7.5. LFQ economic status questions 19-23</span></p> <p>The remaining questions are only asked of persons aged 10 years old and above. If you are asking questions for a person 9 years old or less, stop and go to the next person listed on the questionnaire. These questions refer to the period of time 7 days prior to census night.</p> <p><svar v="SS08A437 SS08A537" a="all"><span class="em">Q22 For those who worked or have worked before (Q19, 1-3), "What was [the respondent's] place of work or main activity of [the respondent's] place of work during the week before census night?" (industry)</span> This question applies only to those persons who were coded "1-3" in Q19. Continuing with the first person listed "Person 01" 10 years old or over who responded "1, 2, or 3" in question 19, ask question 22.<br /><br />This question refers to the type of goods produced, services provided, or work carried out at the respondent's main workplace or previous workplace. You must record the main type of activity, which takes place at the respondent's workplace as given by the respondent. Below are examples of possible answers.<br /><ul class="b1"> <li>Farming</li> <li>Fishing</li> <li>Transporting people</li> <li>Transport of goods</li> <li>Selling vehicles</li> <li>Selling firewood</li> <li>Selling food</li> <li>Selling beverages/drinks</li> <li>School</li> <li>Hospital</li> <li>Road Construction</li> <li>Building construction</li> <li>Selling/supplying nets and hooks</li> <li>Breaking rocks for gravel/building</li> <li>Fish and meat drying/smoking</li> <li>Making animal fat</li> <li>Thatch making</li> <li>Bicycle repair</li> <li>Hotel/hostel/guest camp</li> <li>Restaurant</li> <li>Bar</li> </ul><br /><br />The answers to this question are very important. For example, a security guard can work in a variety of places but his/her occupation is still that of security guard.<br /><br />If a security guard is working in a shop/supermarket, then the activity at the place of work is shop/supermarket. If a security guard is working at a government office, then the activity at the place of work is government work/office. If a security guard working at a bank, the activity at the place of work is banking.<br /><br />The same can apply to a driver, clerk, cook, or cleaner. You should make sure that you properly describe the activity at the respondent's place of work.<br /><br />Do not make any marks in the boxes. Write your answers in the red space provided. Office clerks will use your written answer to assign occupation and industry codes in the office. Write as neatly as possible.<br /></svar> South Sudan 2008: Persons age 10+ who worked or were seeking work not for the first time [discrepancies: none] This variable indicates the industry the person worked in. 001 Crop and animal production, hunting and related service activities 002 Forestry and logging 003 Fishing and aquaculture 008 Other mining and quarrying 010 Manufacture of food products 011 Manufacture of beverages 014 Manufacture of wearing apparel 016 Manufacture of wood and of products of wood and cork, except furniture 023 Manufacture of other non-metallic mineral products 025 Manufacture of fabricated metal products, except machinery and equipment 029 Other manufacturing 031 Manufacture of furniture 033 Repair and installation of machinery and equipment 041 Construction of buildings 042 Civil engineering 045 Wholesale and retail trade and repair of motor vehicles and motorcycles 047 Retail trade, except of motor vehicles and motorcycles 049 Land, water and air transport 055 Accommodation 056 Food and beverage service activities 058 Information, telecommunications, and entertainment 064 Financial service activities, insurance and real estate 069 Legal and accounting activities 075 Veterinary activities 079 Travel services, building services and other administrative services 084 Public administration and defence 085 Education 086 Human health activities 093 Sports activities and amusement and recreation activities 094 Activities of membership organizations 095 Repair of computers and personal and household goods 096 Other personal service activities 097 Activities of households as employers of domestic personnel 098 Undifferentiated goods- and services-producing activities of private households for own use 099 Activities of extraterritorial organizations and bodies 100 Other industry, response suppressed 999 NIU (not in universe) Work: Industry Variables -- PERSON Class of worker <svar v="SS08A434 SS08A435 SS08A436 SS08A437 SS08A438 SS08A534 SS08A535 SS08A536 SS08A537 SS08A538"><span class="em">Economic activity</span><br />[Questions 19 - 23: Persons age 10 or older]<br /></svar></p> <p><svar v="SS08A438 SS08A538" a="all">23. For those who worked or have worked before, what was [the respondent's] employment status?<br /><div class="i1">[Q21 is asked of persons age 10 or older who worked, did not work but have a job to go back to, or did not work but last week but have work and seeking work and available for work, as per Q19.]<br />[] 1 Paid employee<br />[] 2 Employer<br />[] 3 Own account worker<br />[] 4 Unpaid family worker<br />[] 5 Unpaid working for others</div><br /></svar> <span class="h3">7.5. LFQ economic status questions 19-23</span></p> <p>The remaining questions are only asked of persons aged 10 years old and above. If you are asking questions for a person 9 years old or less, stop and go to the next person listed on the questionnaire. These questions refer to the period of time 7 days prior to census night.</p> <p><svar v="SS08A438 SS08A538" a="all"><span class="em">Q23 For those who worked or have worked before (Q19, 1-3), "What was [the respondent's] employment status?"</span> This question applies only to those persons who were coded "1-3" in Q19. Continuing with the first person listed "Person 01" 10 years old or over who responded "1,2, or 3" in question 19, ask question 23.<br /><br />You should read the categories aloud so the respondent can choose the correct description of their employment status. You must be able to answer any questions that a respondent may ask about each of the choices. You should also be able to explain the different types of employment statuses in the local language.<br /><div class="i1"><span class="ital">(1) "Paid Employee."</span> Includes those who were in paid employment for at least one hour the seven days prior to census night, whether they are paid weekly, monthly, or hourly.<br /><br /><span class="ital">(2) "Employer."</span> Includes those who for at least one hour during the reference period operated their own business, profession or trade and employed one or more employees.<br /><br /><span class="ital">(3) "Own account worker."</span> Includes those who operated their own enterprise, profession, or trade without paid employed and worked for their own consumption or profit. Examples include: basket weavers, coffee and tea sellers, bicycle taxis, fruit sellers, cattle milking, firewood collection, farmers, fishermen, and herders.<br /><br /><span class="ital">(4) "Unpaid family worker."</span> Includes those who worked in the enterprise, profession or trade of the household without pay or profit. Examples include: daughters helping mothers sell food, sons helping watch herds, family members who work in the family store, or family members working on the family farm.<br /><br /><span class="ital">(5) "Unpaid working for others."</span> includes apprentices or trainees who are not paid, participants in food for work programmes and anyone else who works for others but does not receive money.</div><br /></svar> South Sudan 2008: Persons age 10+ who worked or were seeking work not for the first time [discrepancies: none] This variable indicates the person's class of worker. 1 Paid employee 2 Employer 3 Own account worker 4 Unpaid family worker 5 Unpaid working for others 9 NIU (not in universe) Work Variables -- PERSON Marital status <svar v="SS08A439 SS08A440 SS08A539 SS08A540"><span class="em">Marital status</span><br />[Questions 24 - 25: Persons age 12 or older]<br /></svar></p> <p><svar v="SS08A439 SS08A539" a="all">24. What is [the respondent's] marital status?<br /><div class="i1">[] 1 Never married<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> <span class="h3">7.6. LFQ marital status questions 24-25</span></p> <p>The remaining questions are only asked of persons aged 12 years old and above. If you are asking questions for a person 11 years old or less, stop and go to the next person listed on the questionnaire.</p> <p><svar v="SS08A439 SS08A539" a="all"><span class="em">Q24 "What is [the respondent's] marital status?"</span> Continuing with the first person listed "Person 01" 12 years old or over, ask question 24.<br /><ul class="b1"> <li>Never assume a person's marital status.</li> <li>Be sure to differentiate between never married, divorced and widowed.</li> <li>Shade the number corresponding to the respondents answer.</li> </ul><br /></svar> South Sudan 2008: Persons age 12+ [discrepancies: none] This variable indicates the person's marital status. 1 Never married 2 Married 3 Widowed 4 Divorced 9 NIU (not in universe) Demographic Variables -- PERSON Age at first marriage <svar v="SS08A439 SS08A440 SS08A539 SS08A540"><span class="em">Marital status</span><br />[Questions 24 - 25: Persons age 12 or older]<br /></svar></p> <p><svar v="SS08A440 SS08A540" a="all">25. For all ever-married persons: what was [the respondent's] age at first marriage?<br /><div class="i1">Code age in completed years<br />_ _</div><br /></svar> <span class="h3">7.6. LFQ marital status questions 24-25</span></p> <p>The remaining questions are only asked of persons aged 12 years old and above. If you are asking questions for a person 11 years old or less, stop and go to the next person listed on the questionnaire.</p> <p><svar v="SS08A440 SS08A540" a="all"><span class="em">Q25 For all ever-married persons: "What was [the respondent's] age at first marriage?"</span> Continuing with the first person listed "Person 01" 12 years old or over who was either married, widowed or divorced, ask question 25.<br /><ul class="b1"> <li>Do not ask this question of people who have never married.</li> <li>This question is asking for the person's age when he/she was first married. This may have been before the current marriage. You should therefore be sure to emphasize this point when asking this question.</li> <li>Write the age at first marriage in the boxes and shade the corresponding numbers.</li> </ul><br /></svar> South Sudan 2008: Ever-married persons age 12+ [discrepancies: none] This variable indicates the person's age, in completed years, at first marriage. 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+ 99 NIU (not in universe) Demographic Variables -- PERSON Males ever born <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A441 SS08A442 SS08A541 SS08A542 SS08A559 SS08A560" a="all">26. What is the total number of children [the respondent] has ever born alive? (even if the child was only alive for a short time and died soon after birth)<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A441 SS08A442 SS08A541 SS08A542 SS08A559 SS08A560" a="all"><span class="em">Q26 "What is the total number of children [the respondent] has ever born alive? (even if the child was only alive for a short time and died soon after birth)"</span> Continuing with the first person listed "Person 01" who is female 12 to 54 years (and not never-married in the 15 states of North Sudan), ask question 26.<br /><ul class="b1"> <li>Attempt to ask these questions directly to females 12-54 years old (and not never married in the 15 states of Northern Sudan). The respondent for the household may not be able to supply the information for questions 26 through 32.</li> <li>Write the total number of males ever born alive to the respondent in the boxes under the column "male" and the number of females ever born alive in the boxes under the column "female".</li> <li>You must use two digits in the boxes provided as some women may have had more than 9 live births.</li> <li>Use leading zeroes, for example if she has only one male child you should write "01" and not just "1".</li> <li>If she did not have any male births then write "00" in the "male" column. Do the same for the female children born to the respondent.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> <li>Do not leave these questions blank for any female aged 12 to 54 years (and not never married in the 15 states of Northern Sudan.)</li> </ul><br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of male children ever born to the person. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Females ever born <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A441 SS08A442 SS08A541 SS08A542 SS08A559 SS08A560" a="all">26. What is the total number of children [the respondent] has ever born alive? (even if the child was only alive for a short time and died soon after birth)<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A441 SS08A442 SS08A541 SS08A542 SS08A559 SS08A560" a="all"><span class="em">Q26 "What is the total number of children [the respondent] has ever born alive? (even if the child was only alive for a short time and died soon after birth)"</span> Continuing with the first person listed "Person 01" who is female 12 to 54 years (and not never-married in the 15 states of North Sudan), ask question 26.<br /><ul class="b1"> <li>Attempt to ask these questions directly to females 12-54 years old (and not never married in the 15 states of Northern Sudan). The respondent for the household may not be able to supply the information for questions 26 through 32.</li> <li>Write the total number of males ever born alive to the respondent in the boxes under the column "male" and the number of females ever born alive in the boxes under the column "female".</li> <li>You must use two digits in the boxes provided as some women may have had more than 9 live births.</li> <li>Use leading zeroes, for example if she has only one male child you should write "01" and not just "1".</li> <li>If she did not have any male births then write "00" in the "male" column. Do the same for the female children born to the respondent.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> <li>Do not leave these questions blank for any female aged 12 to 54 years (and not never married in the 15 states of Northern Sudan.)</li> </ul><br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of female children ever born to the person. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children at home <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A443 SS08A444 SS08A543 SS08A544 SS08A556 SS08A561 SS08A562 SS08A563" a="all">27. How many of these children are living with [the respondent] in this household?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A443 SS08A444 SS08A543 SS08A544 SS08A556 SS08A561 SS08A562 SS08A563" a="all"><span class="em">Q27 "How many of those children are living with [the respondent] in this household?"</span> Continuing with the same female respondent, ask question 27.<br /><ul class="b1"> <li>Write the total number of male children who are living with the mother in the household in the boxes under the column "male."</li> <li>Write the total number of female children living with the mother in the household in the boxes under the column "female".</li> <li>Remember to use two digits. If there are no male children living with the mother write "00" in the male column. Do the same for female children.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> <li>Ask if any of these children living with the mother in the same household spent census night in the household.</li> <li>If so, check that they are listed in question 1.</li> <li>If the respondent had failed to identify any child who spent census night in the household, then you must write down their names in question 1 and go back to Q1-Q14 and gather information on the missed children after you complete questions 26 through 32.</li> </ul><br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of male children ever born to the person that are living with the person in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children at home <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A443 SS08A444 SS08A543 SS08A544 SS08A556 SS08A561 SS08A562 SS08A563" a="all">27. How many of these children are living with [the respondent] in this household?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A443 SS08A444 SS08A543 SS08A544 SS08A556 SS08A561 SS08A562 SS08A563" a="all"><span class="em">Q27 "How many of those children are living with [the respondent] in this household?"</span> Continuing with the same female respondent, ask question 27.<br /><ul class="b1"> <li>Write the total number of male children who are living with the mother in the household in the boxes under the column "male."</li> <li>Write the total number of female children living with the mother in the household in the boxes under the column "female".</li> <li>Remember to use two digits. If there are no male children living with the mother write "00" in the male column. Do the same for female children.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> <li>Ask if any of these children living with the mother in the same household spent census night in the household.</li> <li>If so, check that they are listed in question 1.</li> <li>If the respondent had failed to identify any child who spent census night in the household, then you must write down their names in question 1 and go back to Q1-Q14 and gather information on the missed children after you complete questions 26 through 32.</li> </ul><br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of female children ever born to the person that are living with the person in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children living elsewhere <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A445 SS08A446 SS08A545 SS08A546 SS08A557 SS08A556 SS08A561 SS08A562 SS08A563" a=" SS08A445 SS08A446 SS08A545 SS08A546 SS08A557">28. How many of those children are living elsewhere (not in this household)?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A445 SS08A446 SS08A545 SS08A546 SS08A557 SS08A561 SS08A562 SS08A563" a="SS08A445 SS08A446 SS08A545 SS08A546 SS08A557"><span class="em">Q28 "How many of those children are living elsewhere (not in this household)?"</span> Continuing with the same respondent ask question 28.<br /><ul class="b1"> <li>Write the reported number of male and female children reported as living elsewhere in the boxes under the respective male and female columns.</li> <li>Note that this question is split with the part referring to males in the first row and the part referring to females on the second row.</li> <li>Remember to use two digits. If there are no male or female children living elsewhere write "00" in their respective columns.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of male children ever born to the person that are living elsewhere. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children living elsewhere <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A445 SS08A446 SS08A545 SS08A546 SS08A557 SS08A556 SS08A561 SS08A562 SS08A563" a=" SS08A445 SS08A446 SS08A545 SS08A546 SS08A557">28. How many of those children are living elsewhere (not in this household)?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A445 SS08A446 SS08A545 SS08A546 SS08A557 SS08A561 SS08A562 SS08A563" a="SS08A445 SS08A446 SS08A545 SS08A546 SS08A557"><span class="em">Q28 "How many of those children are living elsewhere (not in this household)?"</span> Continuing with the same respondent ask question 28.<br /><ul class="b1"> <li>Write the reported number of male and female children reported as living elsewhere in the boxes under the respective male and female columns.</li> <li>Note that this question is split with the part referring to males in the first row and the part referring to females on the second row.</li> <li>Remember to use two digits. If there are no male or female children living elsewhere write "00" in their respective columns.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of female children ever born to the person that are living elsewhere. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children deceased <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A447 SS08A448 SS08A547 SS08A548 SS08A558" a="all">29. How many of those children are no longer alive?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A447 SS08A448 SS08A547 SS08A548 SS08A558" a="all"><span class="em">Q29 "How many of those children are no longer alive?"</span> Continuing with the same female respondent, ask question 29.<br /><ul class="b1"> <li>You should ask the question as it is written on the questionnaire." Do not ask: "How many of your children are dead?"</li> <li>Write the number of male and female children who are reported as no longer alive in their respective columns.</li> <li>Again make sure to use two digits. If all her children are alive, then you should write "00" in the respective male and female columns.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br />Verifying the number of children:<br /><ul class="b1"> <li>Add the number of male children from Q27-29 and verify that the sum equals the total number of males in Q26.</li> <li>Add the number of female children from Q27-29 and verify that the sum equals the total number of females in Q26.</li> <li>If the number of males or females is not equal, you must go through the questions again with the respondent and make the necessary corrections.</li> </ul><br />Verify the number of children as soon as you complete question 29, so that you can correct any mistakes with the respondent.<br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of male children ever born to the person that are deceased. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children deceased <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A447 SS08A448 SS08A547 SS08A548 SS08A558" a="all">29. How many of those children are no longer alive?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A447 SS08A448 SS08A547 SS08A548 SS08A558" a="all"><span class="em">Q29 "How many of those children are no longer alive?"</span> Continuing with the same female respondent, ask question 29.<br /><ul class="b1"> <li>You should ask the question as it is written on the questionnaire." Do not ask: "How many of your children are dead?"</li> <li>Write the number of male and female children who are reported as no longer alive in their respective columns.</li> <li>Again make sure to use two digits. If all her children are alive, then you should write "00" in the respective male and female columns.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br />Verifying the number of children:<br /><ul class="b1"> <li>Add the number of male children from Q27-29 and verify that the sum equals the total number of males in Q26.</li> <li>Add the number of female children from Q27-29 and verify that the sum equals the total number of females in Q26.</li> <li>If the number of males or females is not equal, you must go through the questions again with the respondent and make the necessary corrections.</li> </ul><br />Verify the number of children as soon as you complete question 29, so that you can correct any mistakes with the respondent.<br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of female children ever born to the person that are deceased. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Any births last 12 months <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><span class="em">Births during the last 12 months</span></p> <p><svar v="SS08A449 SS08A549" a="all">30. Did [the respondent] give birth during the last 12 months?<br /><div class="i1">If no birth in last 12 months, go to question 33.<br />Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A549 SS08A550 SS08A552 SS08A553 SS08A564 SS08A565"><span class="em">Q30 - Q32 refer to the children born to females aged 12 - 54 during the 12 months before census night.</span><br /></svar></p> <p><svar v="SS08A449 SS08A549" a="all"><span class="em">Q30 "Did [the respondent] give birth during the last 12 months?"</span> If no births in the last 12 months go to the next person listed on the questionnaire. Continuing with the same female respondent, ask question 30.<br /><ul class="b1"> <li>If yes, shade "1" and continue with the next questions.</li> <li>If no, shade "2" and skip to the next person listed on the questionnaire.</li> <li>If this is the last person in the household, then move to the next section of questions on housing - or question 33.</li> </ul><br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates whether the person had any births in the last 12 months. 1 Yes 2 No 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Males born last 12 months <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><span class="em">Births during the last 12 months</span></p> <p><svar v="SS08A450 SS08A451 SS08A550 SS08A551 SS08A564" a="all">31. How many children has [the respondent] given birth to in the last 12 months?<br /><div class="i1">[Q31 was asked of females who have given birth during the last 12 months, as per Q30.]<br />Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A549 SS08A550 SS08A552 SS08A553 SS08A564 SS08A565"><span class="em">Q30 - Q32 refer to the children born to females aged 12 - 54 during the 12 months before census night.</span><br /></svar></p> <p><svar v="SS08A450 SS08A451 SS08A550 SS08A551 SS08A564" a="all"><span class="em">Q31 "How many children has [the respondent] given birth to in the last 12 months?"</span> Continuing with the same female respondent, who answered yes "1" to question 30, ask question 31.<br /><ul class="b1"> <li>Write the number of male births in the box under the "males" column</li> <li>Write the number of female births in the box under the "females" column.</li> <li>If she did not have any male births then write "0" in the "males" column.</li> <li>If she did not have any female births, write "0" in the "females" column.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of male children born in the last 12 months. 0 0 1 1 2 2 3 3 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Females born last 12 months <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><span class="em">Births during the last 12 months</span></p> <p><svar v="SS08A450 SS08A451 SS08A550 SS08A551 SS08A564" a="all">31. How many children has [the respondent] given birth to in the last 12 months?<br /><div class="i1">[Q31 was asked of females who have given birth during the last 12 months, as per Q30.]<br />Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A549 SS08A550 SS08A552 SS08A553 SS08A564 SS08A565"><span class="em">Q30 - Q32 refer to the children born to females aged 12 - 54 during the 12 months before census night.</span><br /></svar></p> <p><svar v="SS08A450 SS08A451 SS08A550 SS08A551 SS08A564" a="all"><span class="em">Q31 "How many children has [the respondent] given birth to in the last 12 months?"</span> Continuing with the same female respondent, who answered yes "1" to question 30, ask question 31.<br /><ul class="b1"> <li>Write the number of male births in the box under the "males" column</li> <li>Write the number of female births in the box under the "females" column.</li> <li>If she did not have any male births then write "0" in the "males" column.</li> <li>If she did not have any female births, write "0" in the "females" column.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of female children born in the last 12 months. 0 0 1 1 2 2 or more 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Males born last 12 months surviving <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><span class="em">Births during the last 12 months</span></p> <p><svar v="SS08A452 SS08A453 SS08A552 SS08A553 SS08A565" a="all">32. How many of these children born in the last 12 months are still alive?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A549 SS08A550 SS08A552 SS08A553 SS08A564 SS08A565"><span class="em">Q30 - Q32 refer to the children born to females aged 12 - 54 during the 12 months before census night.</span><br /></svar></p> <p><svar v="SS08A452 SS08A453 SS08A552 SS08A553 SS08A565" a="all"><span class="em">Q32 "How many of these children born in the last 12 months are still alive?"</span> Continuing with the same female respondent, who answered yes "1" to question 30, ask question 32.<br /><ul class="b1"> <li>Write the number of living male and female children in the boxes under the respective male and female columns.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br />Verifying the number of children:<br /><ul class="b1"> <li>Check that the number of males alive (Q32) is not more than the number of males born (Q31).</li> <li>Check that the number of females alive (Q32) is not more than the number of females born (Q31).</li> <li>If the alive numbers are greater than the born numbers, ask the respondent to verify which numbers are correct.</li> </ul><br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of male children born in the last 12 months who are still alive. 0 0 1 1 2 2 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Females born last 12 months surviving <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><span class="em">Births during the last 12 months</span></p> <p><svar v="SS08A452 SS08A453 SS08A552 SS08A553 SS08A565" a="all">32. How many of these children born in the last 12 months are still alive?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A549 SS08A550 SS08A552 SS08A553 SS08A564 SS08A565"><span class="em">Q30 - Q32 refer to the children born to females aged 12 - 54 during the 12 months before census night.</span><br /></svar></p> <p><svar v="SS08A452 SS08A453 SS08A552 SS08A553 SS08A565" a="all"><span class="em">Q32 "How many of these children born in the last 12 months are still alive?"</span> Continuing with the same female respondent, who answered yes "1" to question 30, ask question 32.<br /><ul class="b1"> <li>Write the number of living male and female children in the boxes under the respective male and female columns.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br />Verifying the number of children:<br /><ul class="b1"> <li>Check that the number of males alive (Q32) is not more than the number of males born (Q31).</li> <li>Check that the number of females alive (Q32) is not more than the number of females born (Q31).</li> <li>If the alive numbers are greater than the born numbers, ask the respondent to verify which numbers are correct.</li> </ul><br /></svar> South Sudan 2008: Females age 12 to 54 [discrepancies: none] This variable indicates the number of female children born in the last 12 months who are still alive. 0 0 1 1 2 2 or more 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Flag: Age South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Nationality South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation 3 Logical from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Regional group South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation 3 Logical from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Region of origin South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation 3 Logical from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: State of birth South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: State of usual residence South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Duration of residence South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: State of previous residence South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Mother's survival South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Father's survival South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Loss of leg(s) South Sudan 2008: All persons Flag: Loss of leg(s). 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Loss of arm(s) South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Deaf South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Blind South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Mute South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Literacy South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: School attendence South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: School level currently attending South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Education attainment South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Activity status South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Reason for economic inactivity South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Occupation South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Economic sector South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Employment status South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Marital status South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Age at first marriage South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Males ever born South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Females ever born South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Male children at home South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Female children at home South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Male children living elsewhere South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Female children living elsewhere South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Male children deceased South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Female children deceased South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Any births last 12 months South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Males born last 12 months South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Females born last 12 months South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Males born last 12 months (alive) South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Flag: Females born last 12 months (alive) South Sudan 2008: All persons This variable means that the indicated variable was edited during processing. 0 No imputation Person Imputation Flags Variables -- PERSON Person weight South Sudan 2008: All persons This variable indicates the person weight. This is a 6-digit numeric variable with 4 implied decimal places Technical Person Variables -- PERSON Children living in household <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A443 SS08A444 SS08A543 SS08A544 SS08A556 SS08A561 SS08A562 SS08A563" a="all">27. How many of these children are living with [the respondent] in this household?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A443 SS08A444 SS08A543 SS08A544 SS08A556 SS08A561 SS08A562 SS08A563" a="all"><span class="em">Q27 "How many of those children are living with [the respondent] in this household?"</span> Continuing with the same female respondent, ask question 27.<br /><ul class="b1"> <li>Write the total number of male children who are living with the mother in the household in the boxes under the column "male."</li> <li>Write the total number of female children living with the mother in the household in the boxes under the column "female".</li> <li>Remember to use two digits. If there are no male children living with the mother write "00" in the male column. Do the same for female children.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> <li>Ask if any of these children living with the mother in the same household spent census night in the household.</li> <li>If so, check that they are listed in question 1.</li> <li>If the respondent had failed to identify any child who spent census night in the household, then you must write down their names in question 1 and go back to Q1-Q14 and gather information on the missed children after you complete questions 26 through 32.</li> </ul><br /></svar> South Sudan 2008: Ever-married females age 12 to 54 [discrepancies: none] This variable indicates the number of own children living in the household. The questionnaire suggests asking women between 12 and 54 years old, but this information is only recorded for ever-married women between 12 and 54 years old. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children living elsewhere <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A445 SS08A446 SS08A545 SS08A546 SS08A557 SS08A556 SS08A561 SS08A562 SS08A563" a=" SS08A445 SS08A446 SS08A545 SS08A546 SS08A557">28. How many of those children are living elsewhere (not in this household)?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A445 SS08A446 SS08A545 SS08A546 SS08A557 SS08A561 SS08A562 SS08A563" a="SS08A445 SS08A446 SS08A545 SS08A546 SS08A557"><span class="em">Q28 "How many of those children are living elsewhere (not in this household)?"</span> Continuing with the same respondent ask question 28.<br /><ul class="b1"> <li>Write the reported number of male and female children reported as living elsewhere in the boxes under the respective male and female columns.</li> <li>Note that this question is split with the part referring to males in the first row and the part referring to females on the second row.</li> <li>Remember to use two digits. If there are no male or female children living elsewhere write "00" in their respective columns.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br /></svar> South Sudan 2008: Ever-married females age 12 to 54 [discrepancies: none] This variable indicates the number of own children living elsewhere. The questionnaire suggests asking women between 12 and 54 years old, but this information is only recorded for ever-married women between 12 and 54 years old. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children who have died <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A447 SS08A448 SS08A547 SS08A548 SS08A558" a="all">29. How many of those children are no longer alive?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A447 SS08A448 SS08A547 SS08A548 SS08A558" a="all"><span class="em">Q29 "How many of those children are no longer alive?"</span> Continuing with the same female respondent, ask question 29.<br /><ul class="b1"> <li>You should ask the question as it is written on the questionnaire." Do not ask: "How many of your children are dead?"</li> <li>Write the number of male and female children who are reported as no longer alive in their respective columns.</li> <li>Again make sure to use two digits. If all her children are alive, then you should write "00" in the respective male and female columns.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br />Verifying the number of children:<br /><ul class="b1"> <li>Add the number of male children from Q27-29 and verify that the sum equals the total number of males in Q26.</li> <li>Add the number of female children from Q27-29 and verify that the sum equals the total number of females in Q26.</li> <li>If the number of males or females is not equal, you must go through the questions again with the respondent and make the necessary corrections.</li> </ul><br />Verify the number of children as soon as you complete question 29, so that you can correct any mistakes with the respondent.<br /></svar> South Sudan 2008: Ever-married females age 12 to 54 [discrepancies: none] This variable indicates the number of children who have died. The questionnaire suggests asking women between 12 and 54 years old, but this information is only recorded for ever-married women between 12 and 54 years old. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children ever born <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><svar v="SS08A441 SS08A442 SS08A541 SS08A542 SS08A559 SS08A560" a="all">26. What is the total number of children [the respondent] has ever born alive? (even if the child was only alive for a short time and died soon after birth)<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A441 SS08A442 SS08A541 SS08A542 SS08A559 SS08A560" a="all"><span class="em">Q26 "What is the total number of children [the respondent] has ever born alive? (even if the child was only alive for a short time and died soon after birth)"</span> Continuing with the first person listed "Person 01" who is female 12 to 54 years (and not never-married in the 15 states of North Sudan), ask question 26.<br /><ul class="b1"> <li>Attempt to ask these questions directly to females 12-54 years old (and not never married in the 15 states of Northern Sudan). The respondent for the household may not be able to supply the information for questions 26 through 32.</li> <li>Write the total number of males ever born alive to the respondent in the boxes under the column "male" and the number of females ever born alive in the boxes under the column "female".</li> <li>You must use two digits in the boxes provided as some women may have had more than 9 live births.</li> <li>Use leading zeroes, for example if she has only one male child you should write "01" and not just "1".</li> <li>If she did not have any male births then write "00" in the "male" column. Do the same for the female children born to the respondent.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> <li>Do not leave these questions blank for any female aged 12 to 54 years (and not never married in the 15 states of Northern Sudan.)</li> </ul><br /></svar> South Sudan 2008: Ever-married females age 12 to 54 [discrepancies: none] This variable indicates the number of children ever born to the person. The questionnaire suggests asking women between 12 and 54 years old, but this information is only recorded for ever-married women between 12 and 54 years old. 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+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving South Sudan 2008: Ever-married females age 12 to 54 [discrepancies: none] This variable indicates the number of own children who are still surviving. The questionnaire suggests asking women between 12 and 54 years old, but this information is only recorded for ever-married women between 12 and 54 years old. 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 Male children surviving South Sudan 2008: Ever-married females age 12 to 54 [discrepancies: none] This variable indicates the number of male children ever born to the person who are still alive. The questionnaire suggests asking women between 12 and 54 years old, but this information is only recorded for ever-married women between 12 and 54 years old. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children surviving South Sudan 2008: Ever-married females age 12 to 54 [discrepancies: none] This variable indicates the number of female children ever born to the person who are still alive. The questionnaire suggests asking women between 12 and 54 years old, but this information is only recorded for ever-married women between 12 and 54 years old. 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 Children born last year <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><span class="em">Births during the last 12 months</span></p> <p><svar v="SS08A450 SS08A451 SS08A550 SS08A551 SS08A564" a="all">31. How many children has [the respondent] given birth to in the last 12 months?<br /><div class="i1">[Q31 was asked of females who have given birth during the last 12 months, as per Q30.]<br />Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A549 SS08A550 SS08A552 SS08A553 SS08A564 SS08A565"><span class="em">Q30 - Q32 refer to the children born to females aged 12 - 54 during the 12 months before census night.</span><br /></svar></p> <p><svar v="SS08A450 SS08A451 SS08A550 SS08A551 SS08A564" a="all"><span class="em">Q31 "How many children has [the respondent] given birth to in the last 12 months?"</span> Continuing with the same female respondent, who answered yes "1" to question 30, ask question 31.<br /><ul class="b1"> <li>Write the number of male births in the box under the "males" column</li> <li>Write the number of female births in the box under the "females" column.</li> <li>If she did not have any male births then write "0" in the "males" column.</li> <li>If she did not have any female births, write "0" in the "females" column.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br /></svar> South Sudan 2008: Ever-married females age 12 to 54 [discrepancies: none] This variable indicates the number of children born to the person last year. The questionnaire suggests asking women between 12 and 54 years old, but this information is only recorded for ever-married women between 12 and 54 years old. 0 0 1 1 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children born last year surviving <svar v="SS08A441 SS08A442 SS08A443 SS08A444 SS08A445 SS08A446 SS08A447 SS08A448 SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A541 SS08A542 SS08A543 SS08A544 SS08A545 SS08A546 SS08A547 SS08A548 SS08A549 SS08A550 SS08A551 SS08A552 SS08A553 SS08A556 SS08A557 SS08A558 SS08A559 SS08A560 SS08A561 SS08A561 SS08A562 SS08A563 SS08A564 SS08A565"><span class="em">Number of children ever born alive</span><br />[Questions 26 - 32: Women aged 12 to 54 years]<br />If no children, write "00"<br /></svar></p> <p><span class="em">Births during the last 12 months</span></p> <p><svar v="SS08A452 SS08A453 SS08A552 SS08A553 SS08A565" a="all">32. How many of these children born in the last 12 months are still alive?<br /><div class="i1">Male _ _<br />Female _ _</div><br /></svar> <span class="h3">7.7. LFQ fertility questions 26-32</span> <br />The remaining questions are only asked of women aged 12 to 54 years old. If you are asking questions for a male, or a female 11 years old or less or 55 years or older, stop and go to the next person listed on the questionnaire. In the 15 states of North Sudan, these questions are not asked of never married females as reported in Q24.</p> <p><svar v="SS08A449 SS08A450 SS08A451 SS08A452 SS08A453 SS08A549 SS08A550 SS08A552 SS08A553 SS08A564 SS08A565"><span class="em">Q30 - Q32 refer to the children born to females aged 12 - 54 during the 12 months before census night.</span><br /></svar></p> <p><svar v="SS08A452 SS08A453 SS08A552 SS08A553 SS08A565" a="all"><span class="em">Q32 "How many of these children born in the last 12 months are still alive?"</span> Continuing with the same female respondent, who answered yes "1" to question 30, ask question 32.<br /><ul class="b1"> <li>Write the number of living male and female children in the boxes under the respective male and female columns.</li> <li>Shade in the numbers corresponding to the numbers written in the boxes.</li> </ul><br />Verifying the number of children:<br /><ul class="b1"> <li>Check that the number of males alive (Q32) is not more than the number of males born (Q31).</li> <li>Check that the number of females alive (Q32) is not more than the number of females born (Q31).</li> <li>If the alive numbers are greater than the born numbers, ask the respondent to verify which numbers are correct.</li> </ul><br /></svar> South Sudan 2008: Ever-married females age 12 to 54 [discrepancies: none] This variable indicates the number of children born to the person last year who are still surviving. The questionnaire suggests asking women between 12 and 54 years old, but this information is only recorded for ever-married women between 12 and 54 years old. 0 0 1 1 2 2 3 3 4 4+ 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Parents mortality status South Sudan 2008: All persons This variable indicates the parent's mortality status. 1 Father alive, mother alive 2 Father alive, mother dead 3 Father dead, mother alive 4 Father dead, mother dead Fertility and Mortality Variables -- PERSON