5th Sudan Population and Housing Census DDI_WBG_SDN_2008_PHC_v01_M_v02_A_IPUMS Minnesota Population Center

Integrated Public Use Microdata Series (IPUMS) International

Minnesota Population Center 2016-04-25 Nesstar Publisher Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 5th Sudan Population and Housing Census 2008 - IPUMS Subset PHC 2008 (IPUMS Harmonized Subset) WBG_SDN_2008_PHC_v01_M_v02_A_IPUMS Central Bureau of Statistics Minnesota Population Center (c) Copyright 2008, Central Bureau of Statistics and Minnesota Population Center Nesstar Publisher Central Bureau of Statistics Population and Housing Census [hh/popcen] here. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed here. Geography variable also underwent wholesale renaming. In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.]]> Technical Household Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Technical Person Variables -- PERSON Demographic Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Geography: M-Z Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Fertility and Mortality Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Disability Variables -- PERSON Migration Variables -- PERSON Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Household Imputation Flags Variables -- HOUSEHOLD Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Person Imputation Flags Variables -- PERSON Sudan National coverage State Residents of Sudan Census/enumeration data [cen] 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 22nd, 2008, FIELD WORK PERIOD: April 22nd - May 6th, 2008 Direct enumeration Computed by census agency and should be used for most types of analysis. IPUMS International 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. SDN2008-H-H.NSDstat Household records 0 151 Nesstar 200801 Minnesota Population Center Version 6.4, IPUMS sample SDN2008-P-H.NSDstat Person records 0 177 Nesstar 200801 Minnesota Population Center Version 6.4, IPUMS sample Household serial number 0 0 Technical Household Variables -- HOUSEHOLD Record type 0 0 Technical Household Variables -- HOUSEHOLD Year 0 0 YEAR gives the year in which the census was taken. 1960 1960 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 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 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier 0 0 32197001 Argentina 1970 32199101 Argentina 1991 32200101 Argentina 2001 32201001 Argentina 2010 32219801 Argentina 1980 40197101 Austria 1971 40198101 Austria 1981 40199101 Austria 1991 40200101 Austria 2001 40201101 Austria 2011 50199101 Bangladesh 1991 50200101 Bangladesh 2001 50201101 Bangladesh 2011 51200101 Armenia 2001 51201101 Armenia 2011 68197601 Bolivia 1976 68199201 Bolivia 1992 68200101 Bolivia 2001 76196001 Brazil 1960 76197001 Brazil 1970 76198001 Brazil 1980 76199101 Brazil 1991 76200001 Brazil 2000 76201001 Brazil 2010 112199901 Belarus 1999 116199801 Cambodia 1998 116200801 Cambodia 2008 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 156198201 China 1982 156199001 China 1990 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 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 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 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 275199701 Palestine 1997 275200701 Palestine 2007 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 324198301 Guinea 1983 324199601 Guinea 1996 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 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 368199701 Iraq 1997 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 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 380200101 Italy 2001 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 496198901 Mongolia 1989 496200001 Mongolia 2000 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 508199701 Mozambique 1997 508200701 Mozambique 2007 524200101 Nepal 2001 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 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 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 646199101 Rwanda 1991 646200201 Rwanda 2002 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 694200401 Sierra Leone 2004 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 728200801 South Sudan 2008 729200801 Sudan 2008 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 804200101 Ukraine 2001 818199601 Egypt 1996 818200601 Egypt 2006 826199101 United Kingdom 1991 826200101 United Kingdom 2001 834198801 Tanzania 1988 834200201 Tanzania 2002 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 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 858196301 Uruguay 1963 858197501 Uruguay 1975 858198501 Uruguay 1985 858199601 Uruguay 1996 858200621 Uruguay 2006 858201101 Uruguay 2011 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 Technical Household Variables -- HOUSEHOLD Urban-rural status 0 0 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 0 0 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 Number of person records in the household 0 0 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 3-digit numeric variable. Technical Household Variables -- HOUSEHOLD Subsample number 0 0 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. 0 1st 1% subsample 1 2nd 1% subsample 2 3rd 1% subsample 3 4th 1% subsample 4 5th 1% subsample 5 6th 1% subsample 6 7th 1% subsample 7 8th 1% subsample 8 9th 1% subsample 9 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status 0 0 0 Vacant 10 Households 20 Group quarters, 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 Sudan, Region 0 0 1 Northern 2 Eastern 3 Khartoum 4 Central 5 Kordofan 6 Darfur Geography: M-Z Variables -- HOUSEHOLD Telephone availability 0 0 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 0 0 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 Air conditioning 0 0 This variable indicates whether the household had air conditioning. 0 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 Automobiles available 0 0 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 Television set 0 0 TV indicates whether the household had a television. 0 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, color only 31 1 color tv 32 2 color tvs 33 3+ color tvs 40 Yes, black-and-white only 41 1 black-white tv 42 2 black-white tvs 43 3+ black-white tvs 50 Yes, both color and black-and-white 52 2+ color and black-white tvs 53 3+ color and black-white tvs 54 4+ color and black-white tvs 99 Unknown/missing Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio in household 0 0 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 Refrigerator 0 0 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 Toilet 0 0 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. 0 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 0 0 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 0 0 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 Number of unrelated persons 0 0 UNREL indicates the number of persons in the household who are unrelated to the head. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Head's location in household 0 0 HEADLOC gives the person number of the head of household in samples in which persons are organized into households. This is a 3-digit numeric variable with 0 implied decimal places Constructed Household Variables -- HOUSEHOLD Household classification 0 0 0 Vacant household 1 One-person household 2 Married/cohab couple, no children 3 Married/cohab couple with children 4 Single-parent family 5 Polygamous family 6 Extended family, relatives only 7 Composite household, family and non-relatives 8 Non-family household 9 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Water supply 0 0 0 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 Number of families in household 0 0 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 1st subnational geographic level, world [consistent boundaries over time] 0 0 32002 City of Buenos Aires [Province: Argentina] 32006 Buenos Aires province [Province: Argentina] 32010 Catamarca [Province: Argentina] 32014 Córdoba [Province: Argentina] 32018 Corrientes [Province: Argentina] 32022 Chaco [Province: Argentina] 32026 Chubut [Province: Argentina] 32030 Entre Ríos [Province: Argentina] 32034 Formosa [Province: Argentina] 32038 Jujuy [Province: Argentina] 32042 La Pampa [Province: Argentina] 32046 La Rioja [Province: Argentina] 32050 Mendoza [Province: Argentina] 32054 Misiones [Province: Argentina] 32058 Neuquén [Province: Argentina] 32062 Río Negro [Province: Argentina] 32066 Salta [Province: Argentina] 32070 San Juan [Province: Argentina] 32074 San Luis [Province: Argentina] 32078 Santa Cruz [Province: Argentina] 32082 Santa Fe [Province: Argentina] 32086 Santiago del Estero [Province: Argentina] 32090 Tucumán [Province: Argentina] 32094 Tierra del Fuego [Province: Argentina] 32099 Unknown [Province: Argentina] 40011 Burgenland [State: Austria] 40012 Niederösterreich [State: Austria] 40013 Wien [State: Austria] 40021 Kärnten [State: Austria] 40022 Steiermark [State: Austria] 40031 Oberösterreich [State: Austria] 40032 Salzburg [State: Austria] 40033 Tirol [State: Austria] 40034 Vorarlberg [State: Austria] 50010 Barisal [Division, Bangladesh] 50020 Chittagong [Division, Bangladesh] 50030 Dhaka [Division, Bangladesh] 50040 Khulna [Division, Bangladesh] 50050 Rajshahi, Rangpur [Division, Bangladesh] 50060 Sylhet [Division, Bangladesh] 51901 Yerevan [Province: Armenia] 51902 Aragatsotn [Province: Armenia] 51903 Ararat [Province: Armenia] 51904 Armavir [Province: Armenia] 51905 Gegharkunik [Province: Armenia] 51906 Lori [Province: Armenia] 51907 Kotayk [Province: Armenia] 51908 Shirak [Province: Armenia] 51909 Syunik [Province: Armenia] 51910 Vayots Dzor [Province: Armenia] 51911 Tavush [Province: Armenia] 68001 Chuquisaca [Department: Bolivia] 68002 La Paz [Department: Bolivia] 68003 Cochabamba [Department: Bolivia] 68004 Oruro [Department: Bolivia] 68005 Potosí [Department: Bolivia] 68006 Tarija [Department: Bolivia] 68007 Santa Cruz [Department: Bolivia] 68008 Beni [Department: Bolivia] 68009 Pando [Department: Bolivia] 76011 Rondonia [State: Brazil] 76012 Acre [State: Brazil] 76013 Amazonas [State: Brazil] 76014 Roraima [State: Brazil] 76015 Pará [State: Brazil] 76016 Amapa [State: Brazil] 76021 Maranhao [State: Brazil] 76022 Piauí [State: Brazil] 76023 Ceará [State: Brazil] 76024 Rio Grande do Norte [State: Brazil] 76025 Paraiba [State: Brazil] 76026 Pernambuco [State: Brazil] 76027 Alagoas [State: Brazil] 76028 Sergipe [State: Brazil] 76029 Bahia [State: Brazil] 76031 Minas Gerais [State: Brazil] 76032 Espírito Santo [State: Brazil] 76033 Rio de Janeiro [State: Brazil] 76035 São Paulo [State: Brazil] 76041 Parana [State: Brazil] 76042 Santa Catarina [State: Brazil] 76043 Rio Grande do Sul [State: Brazil] 76051 Mato Grosso, Mato Grosso do Sul [State: Brazil] 76052 Goiás and Tocantins [State: Brazil] 76053 Distrito Federal [State: Brazil] 112001 Brest [Region: Belarus] 112002 Vitebsk [Region: Belarus] 112003 Gomel [Region: Belarus] 112004 Grodno [Region: Belarus] 112006 Minsk [Region: Belarus] 112007 Mogilev [Region: Belarus] 116001 Banteay Meanchey [Province: Cambodia] 116002 Battambang [Province: Cambodia] 116003 Kampong Cham [Province: Cambodia] 116004 Kampong Chhnang [Province: Cambodia] 116005 Kampong Speu [Province: Cambodia] 116006 Kampong Thom [Province: Cambodia] 116007 Kampot [Province: Cambodia] 116008 Kandal [Province: Cambodia] 116009 Koh Kong [Province: Cambodia] 116010 Kratie [Province: Cambodia] 116011 Mondul Kiri [Province: Cambodia] 116012 Phnom Penh [Province: Cambodia] 116013 Preah Vihear [Province: Cambodia] 116014 Prey Veng [Province: Cambodia] 116015 Pursat [Province: Cambodia] 116016 Rotanak Kiri [Province: Cambodia] 116017 Siem Reap and Otdar Meanchey [Province: Cambodia] 116018 Preah Sihanouk [Province: Cambodia] 116019 Stung Treng [Province: Cambodia] 116020 Svay Rieng [Province: Cambodia] 116021 Takeo [Province: Cambodia] 116023 Kep [Province: Cambodia] 116024 Pailin [Province: Cambodia] 120002 Centre, Sud [Province: Cameroon] 120003 Est [Province: Cameroon] 120004 Nord, Adamoua , Extrème Nord [Province: Cameroon] 120005 Littoral [Province: Cameroon] 120007 Nord Ouest [Province: Cameroon] 120008 Ouest [Province: Cameroon] 120010 Sud Ouest [Province: Cameroon] 124010 Newfoundland and Labrador [Province: Canada] 124011 Prince Edward Island, Yukon, Northwest Territories, and 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] 152002 Antofagasta and Tarapacá [Region: Chile] 152004 Atacama and Coquimbo [Region: Chile] 152007 Del Maule [Region: Chile] 152008 Del Biobio [Region: Chile] 152009 La Araucanía [Region: Chile] 152010 Aysen del Gral Carlos Ibáñez del Campo and Los Lagos [Region: Chile] 152012 Magallanes and La Antártica Chilena [Region: Chile] 152013 Libertador General Bernardo O"Higgins, Metropolitana de Santiago, and Valparaiso [Region: Chile] 152099 Unknown [Region: Chile] 156011 Beijing (municipality) [Province: China] 156012 Tianjin (municipality) [Province: China] 156013 Hebei [Province: China] 156014 Shanxi [Province: China] 156015 Inner Mongolia [Province: China] 156021 Liaoning [Province: China] 156022 Jilin [Province: China] 156023 Heilongjiang [Province: China] 156031 Shanghai (municipality) [Province: China] 156032 Jiangsu [Province: China] 156033 Zhejiang [Province: China] 156034 Anhui [Province: China] 156035 Fujian [Province: China] 156036 Jiangxi [Province: China] 156037 Shangdong [Province: China] 156041 Henan [Province: China] 156042 Hubei [Province: China] 156043 Hunan [Province: China] 156044 Guangdong and Hainan [Province: China] 156045 Guangxi [Province: China] 156051 Sichuan [Province: China] 156052 Guizhou [Province: China] 156053 Yunnan [Province: China] 156054 Tibet [Province: China] 156061 Shaanxi [Province: China] 156062 Gansu [Province: China] 156063 Qinghai [Province: China] 156064 Ningxia [Province: China] 156065 Xinjiang [Province: China] 170005 Antioquia [Department: Colombia] 170008 Atlántico [Department: Colombia] 170011 Bogotá [Department: Colombia] 170013 Bolívar and Sucre [Department: Colombia] 170015 Boyacá and Casanare [Department: Colombia] 170018 Caquetá [Department: Colombia] 170019 Cauca [Department: Colombia] 170023 Córdoba [Department: Colombia] 170025 Cundinamarca [Department: Colombia] 170027 Chocó [Department: Colombia] 170041 Huila [Department: Colombia] 170044 La Guajira [Department: Colombia] 170047 Cesar and Magdalena [Department: Colombia] 170050 Meta and Vichada [Department: Colombia] 170052 Nariño [Department: Colombia] 170054 Norte de Santander [Department: Colombia] 170066 Caldas, Quindío, and Risaralda [Department: Colombia] 170068 Santander [Department: Colombia] 170073 Tolima [Department: Colombia] 170076 Valle [Department: Colombia] 170081 Arauca [Department: Colombia] 170086 Putumayo [Department: Colombia] 170088 San Andrés [Department: Colombia] 170091 Amazonas [Department: Colombia] 170095 Guaviare, Vaupés, and Guainía [Department: Colombia] 188001 San José [Province: Costa Rica] 188002 Alajuela [Province: Costa Rica] 188003 Cartago [Province: Costa Rica] 188004 Heredia [Province: Costa Rica] 188005 Guanacaste [Province: Costa Rica] 188006 Puntarenas [Province: Costa Rica] 188007 Limón [Province: Costa Rica] 192001 Pinar del Río [Province: Cuba] 192002 La Habana [Province: Cuba] 192003 Ciudad de la Habana [Province: Cuba] 192004 Matanzas [Province: Cuba] 192005 Villa Clara [Province: Cuba] 192006 Cienfuegos [Province: Cuba] 192007 Sancti Spiritus [Province: Cuba] 192008 Ciego de Avila [Province: Cuba] 192009 Camagüey [Province: Cuba] 192010 Las Tunas [Province: Cuba] 192011 Holguín [Province: Cuba] 192012 Granma [Province: Cuba] 192013 Santiago de Cuba [Province: Cuba] 192014 Guantánamo [Province: Cuba] 192099 Isla de la Juventud [Province: Cuba] 214001 Federal district and Santo Domingo [Province: Dominican Republic] 214002 Azua [Province: Dominican Republic] 214003 Baoruco [Province: Dominican Republic] 214004 Barahona [Province: Dominican Republic] 214005 Dajabón [Province: Dominican Republic] 214006 Duarte [Province: Dominican Republic] 214007 Elías Piña [Province: Dominican Republic] 214008 El Seibo and Hato Mayor [Province: Dominican Republic] 214009 Espaillat [Province: Dominican Republic] 214010 Independencia [Province: Dominican Republic] 214011 La Altagracia and La Romana [Province: Dominican Republic] 214013 La Vega and Monseñor Nouel [Province: Dominican Republic] 214014 María Trinidad Sánchez and Samaná [Province: Dominican Republic] 214015 Monte Cristi [Province: Dominican Republic] 214016 Pedernales [Province: Dominican Republic] 214017 Peravia and San José de Ocoa [Province: Dominican Republic] 214018 Puerto Plata [Province: Dominican Republic] 214019 Hermanas Mirabal [Province: Dominican Republic] 214021 San Cristóbal and Monte Plata [Province: Dominican Republic] 214022 San Juan [Province: Dominican Republic] 214023 San Pedro de Macorís [Province: Dominican Republic] 214024 Sánchez Ramírez [Province: Dominican Republic] 214025 Santiago [Province: Dominican Republic] 214026 Santiago Rodríguez [Province: Dominican Republic] 214027 Valverde [Province: Dominican Republic] 218001 Azuay [Province: Ecuador] 218002 Bolívar [Province: Ecuador] 218004 Carchi [Province: Ecuador] 218005 Cotopaxi [Province: Ecuador] 218006 Chimborazo [Province: Ecuador] 218007 El Oro [Province: Ecuador] 218009 Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Disputed canton], Pichincha, El Piedrero 218010 Imbabura, Las Golondrinas [Disputed canton] [Disputed canton] 218011 Loja [Province: Ecuador] 218014 Morona Santiago [Province: Ecuador] 218016 Pastaza [Province: Ecuador] 218018 Tungurahua [Province: Ecuador] 218019 Zamora Chinchipe [Province: Ecuador] 218021 Napo, Orellana, Sucumbíos [Province: Ecuador] 218099 Unknown [Province: Ecuador] 222001 Ahuachapán [Department: El Salvador] 222002 Santa Ana [Department: El Salvador] 222003 Sonsonate [Department: El Salvador] 222004 Chalatenango [Department: El Salvador] 222005 La Libertad [Department: El Salvador] 222006 San Salvador [Department: El Salvador] 222007 Cuscatlán [Department: El Salvador] 222008 La Paz [Department: El Salvador] 222009 Cabañas [Department: El Salvador] 222010 San Vicente [Department: El Salvador] 222011 Usulután [Department: El Salvador] 222012 San Miguel [Department: El Salvador] 222013 Morazán [Department: El Salvador] 222014 La Unión [Department: El Salvador] 231001 Tigray [Region: Ethiopia] 231002 Affar [Region: Ethiopia] 231003 Amhara [Region: Ethiopia] 231004 Oromiya [Region: Ethiopia] 231005 Somali [Region: Ethiopia] 231006 Benishangul-Gumz [Region: Ethiopia] 231007 Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia] 231012 Gambela [Region: Ethiopia] 231013 Harari [Region: Ethiopia] 231014 Addis Ababa [Region: Ethiopia] 231015 Dire Dawa [Region: Ethiopia] 231017 Special region [Region: Ethiopia] 238094 Falkland Islands [Province: Argentina] 239094 South Georgia and South Sandwich Islands [Province: Argentina] 242001 Ba [Province: Fiji] 242003 Bua, Cakaudrove [Province: Fiji] 242006 Kadavu, Lau, Lomaiviti, Rotuma [Province: Fiji] 242007 Macuata [Province: Fiji] 242008 Nadroha [Province: Fiji] 242009 Naitasiri, Rewa [Province: Fiji] 242011 Ra [Province: Fiji] 242014 Serua, Namosi [Province: Fiji] 242015 Tailevu [Province: Fiji] 242099 Ships, unknown [Province: Fiji] 250001 Guadeloupe [Oversea Department, France] 250002 Martinique [Oversea Department, France] 250003 French Guyana [Oversea Department, France] 250004 Réunion Island [Oversea Department, France] 250011 Île-de-France [Region: France] 250021 Champagne-Ardenne [Region: France] 250022 Picardy [Region: France] 250023 Upper Normandy [Region: France] 250024 Centre [Region: France] 250025 Lower Normandy [Region: France] 250026 Burgundy [Region: France] 250031 North Pas-de-Calais [Region: France] 250041 Lorraine [Region: France] 250042 Alsace [Region: France] 250043 Franche-Comté [Region: France] 250052 Loire Valley [Region: France] 250053 Brittany [Region: France] 250054 Poitou-Charentes [Region: France] 250072 Aquitaine [Region: France] 250073 Midi-Pyrénées [Region: France] 250074 Limousin [Region: France] 250082 Rhône-Alpes [Region: France] 250083 Auvergne [Region: France] 250091 Languedoc-Roussillon [Region: France] 250093 Provence-Alpes-Riviera [Region: France] 250094 Corsica [Region: France] 250999 Unknown [Region: France] 275001 Jenin [Governorate: Palestine] 275005 Tubas [Governorate: Palestine] 275010 Tulkarm [Governorate: Palestine] 275015 Nablus [Governorate: Palestine] 275020 Qalqiliya [Governorate: Palestine] 275025 Salfit [Governorate: Palestine] 275030 Ramallah and Al-Bireh [Governorate: Palestine] 275035 Jericho [Governorate: Palestine] 275040 Jerusalem [Governorate: Palestine] 275045 Bethlehem [Governorate: Palestine] 275050 Hebron [Governorate: Palestine] 275055 North Gaza [Governorate: Palestine] 275060 Gaza [Governorate: Palestine] 275065 Deir Al-Balah [Governorate: Palestine] 275070 Khan Yunis [Governorate: Palestine] 275075 Rafah [Governorate: Palestine] 276001 Schleswig-Holstein [State: Germany] 276002 Hamburg [State: Germany] 276003 Niedersachsen [State: Germany] 276004 Bremen [State: Germany] 276005 Nordrhein-Westfalen [State: Germany] 276006 Hessen [State: Germany] 276007 Rheinland-Pfalz [State: Germany] 276008 Baden-Württemberg [State: Germany] 276009 Bayern [State: Germany] 276010 Saarland [State: Germany] 276012 Brandenburg [State: Germany] 276013 Mecklenburg-West Pomerania [State: Germany] 276014 Saxony [State: Germany] 276015 Saxony-Anhalt [State: Germany] 276016 Thuringia [State: Germany] 276017 East Berlin [State: Germany] 276018 West Berlin [State: Germany] 276099 NIU (Not in universe) [State: Germany] 288001 Western [Region: Ghana] 288002 Central [Region: Ghana] 288003 Greater Accra [Region: Ghana] 288004 Volta [Region: Ghana] 288005 Eastern [Region: Ghana] 288006 Ashanti [Region: Ghana] 288007 Brong Ahafo [Region: Ghana] 288008 Northern [Region: Ghana] 288009 Upper East [Region: Ghana] 288010 Upper West [Region: Ghana] 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 Aghion 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] 324001 Boké [Region: Guinea] 324002 Faranah [Region: Guinea] 324003 Kankan [Region: Guinea] 324004 Kindia, Labe, Mamou [Region: Guinea] 324007 N'zerekore [Region: Guinea] 324008 Conakry [Region: Guinea] 332003 Nord (North) and Nord'est (North East) [Department: Haiti] 332006 Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti] 332007 Grand'Anse, Nippes, Sud (South) [Department: Haiti] 332009 Nord'Ouest (North West) [Department: Haiti] 356001 Jammu and Kashmir [State: India] 356002 Himachal Pradesh [State: India] 356003 Punjab [State: India] 356004 Chandigarh [State: India] 356006 Haryana [State: India] 356007 Delhi [State: India] 356008 Rajasthan [State: India] 356009 Uttar Pradesh and Uttaranchal [State: India] 356010 Bihar and Jharkhand [State: India] 356011 Sikkim [State: India] 356012 Arunachal Pradesh [State: India] 356013 Nagaland [State: India] 356014 Manipur [State: India] 356015 Mizoram [State: India] 356016 Tripura [State: India] 356017 Meghalaya [State: India] 356018 Assam [State: India] 356019 West Bengal [State: India] 356021 Orissa [State: India] 356023 Chhattisgarh and Madhya Pradesh [State: India] 356024 Gujarat [State: India] 356026 Dadra and Nagar Haveli [State: India] 356027 Maharashtra [State: India] 356028 Andhra Pradesh [State: India] 356029 Karnataka [State: India] 356030 Daman and Diu and Goa [State: India] 356031 Lakshadweep [State: India] 356032 Kerala [State: India] 356033 Tamil Nadu [State: India] 356034 Pondicherry [State: India] 356035 Andaman and Nicobar Islands [State: India] 360011 Nanggroe Aceh Darussalam [Province: Indonesia] 360012 Sumatera Utara [Province: Indonesia] 360013 Sumatera Barat [Province: Indonesia] 360014 Riau and Kepulauan Riau [Province: Indonesia] 360015 Jambi [Province: Indonesia] 360016 Sumatera Selatan and Bangka Belitung [Province: Indonesia] 360017 Bengkulu [Province: Indonesia] 360018 Lampung [Province: Indonesia] 360031 DKI Jakarta [Province: Indonesia] 360032 West Java and Banten [Province: Indonesia] 360033 Jawa Tengah [Province: Indonesia] 360034 DI Yogyakarta [Province: Indonesia] 360035 Jawa Timur [Province: Indonesia] 360051 Bali [Province: Indonesia] 360052 Nusa Tenggara Barat [Province: Indonesia] 360053 East Nusa Tenggara [Province: Indonesia] 360061 Kalimantan Barat [Province: Indonesia] 360062 Kalimantan Tengah [Province: Indonesia] 360063 Kalimantan Selatan [Province: Indonesia] 360064 Kalimantan Timur [Province: Indonesia] 360071 Sulawesi Utara and Gorontalo [Province: Indonesia] 360072 Sulawesi Tengah [Province: Indonesia] 360073 Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia] 360081 Maluku and Maluku Utara [Province: Indonesia] 360094 Papua and Papua Barat [Province: Indonesia] 364000 Markazi [Province: Iran] 364001 Gilan [Province: Iran] 364002 Mazandaran [Province: Iran] 364003 East Azarbayejan [Province: Iran] 364004 West Azarbayejan [Province: Iran] 364005 Kermanshah [Province: Iran] 364006 Khuzestan [Province: Iran] 364007 Fars [Province: Iran] 364008 Kerman [Province: Iran] 364009 Khorasan-e- Razavi [Province: Iran] 364010 Esfahan [Province: Iran] 364011 Sistan and Baluchestan [Province: Iran] 364012 Kordestan [Province: Iran] 364013 Hamedan [Province: Iran] 364014 Chaharmahal and Bakhtiyari [Province: Iran] 364015 Lorestan [Province: Iran] 364016 Ilam [Province: Iran] 364017 Kohgiluyeh and Boyerahmad [Province: Iran] 364018 Bushehr [Province: Iran] 364019 Zanjan [Province: Iran] 364020 Semnan [Province: Iran] 364021 Yazd [Province: Iran] 364022 Hormozgan [Province: Iran] 364023 Tehran [Province: Iran] 364024 Ardebil [Province: Iran] 364025 Qom [Province: Iran] 364026 Qazvin [Province: Iran] 364027 Golestan [Province: Iran] 364028 North Khorasan [Province: Iran] 364029 South Khorasan [Province: Iran] 368011 Dhok [Governorate: Iraq] 368012 Nineveh [Governorate: Iraq] 368013 Al-Sulaimaniya [Governorate: Iraq] 368014 Al-Tameem [Governorate: Iraq] 368015 Arbil [Governorate: Iraq] 368021 Diala [Governorate: Iraq] 368022 Al-Anbar [Governorate: Iraq] 368023 Baghdad [Governorate: Iraq] 368024 Babylon [Governorate: Iraq] 368025 Kerbela [Governorate: Iraq] 368026 Wasit [Governorate: Iraq] 368027 Salah Al-Deen [Governorate: Iraq] 368028 Al-Najaf [Governorate: Iraq] 368031 Al-Qadisiya [Governorate: Iraq] 368032 Al-Muthanna [Governorate: Iraq] 368033 Thi-Qar [Governorate: Iraq] 368034 Maysan [Governorate: Iraq] 368035 Al-Basrah [Governorate: Iraq] 372001 Border [Region: Ireland] 372002 Dublin [Region: Ireland] 372003 Mid-East [Region: Ireland] 372004 Midlands [Region: Ireland] 372005 Mid-West [Region: Ireland] 372006 South-East [Region: Ireland] 372007 South-West [Region: Ireland] 372008 West [Region: Ireland] 376001 Jerusalem [District: Israel] 376002 Northern [District: Israel] 376003 Haifa [District: Israel] 376004 Central [District: Israel] 376005 Tel-Aviv [District: Israel] 376006 Southern [District: Israel] 376009 Judea, Samaria, and Gaza areas [District: Israel] 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 [Region: Italy] 380009 Toscana [Region: Italy] 380010 Umbria [Region: Italy] 380011 Marche [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] 388001 Kingston [Parish: Jamaica] 388002 Saint Andrew [Parish: Jamaica] 388003 Saint Thomas [Parish: Jamaica] 388004 Portland [Parish: Jamaica] 388005 Saint Mary [Parish: Jamaica] 388006 Saint Ann [Parish: Jamaica] 388007 Trelawny [Parish: Jamaica] 388008 Saint James [Parish: Jamaica] 388009 Hanover [Parish: Jamaica] 388010 Westmoreland [Parish: Jamaica] 388011 Saint Elizabeth [Parish: Jamaica] 388012 Manchester [Parish: Jamaica] 388013 Clarendon [Parish: Jamaica] 388014 Saint Catherine [Parish: Jamaica] 400011 Amman [Governorate: Jordan] 400012 Balqa [Governorate: Jordan] 400013 Zarqa [Governorate: Jordan] 400014 Madaba [Governorate: Jordan] 400021 Irbid [Governorate: Jordan] 400022 Mafraq [Governorate: Jordan] 400023 Jarash [Governorate: Jordan] 400024 Ajlun [Governorate: Jordan] 400031 Karak [Governorate: Jordan] 400032 Tafilah [Governorate: Jordan] 400033 Ma'an [Governorate: Jordan] 400034 Aqaba [Governorate: Jordan] 404001 Nairobi [Province: Kenya] 404002 Central Province [Province: Kenya] 404003 Coast Province [Province: Kenya] 404004 Eastern Province [Province: Kenya] 404005 North-Eastern Province [Province: Kenya] 404006 Nyanza Province [Province: Kenya] 404007 Rift Valley Province [Province: Kenya] 404008 Western Province [Province: Kenya] 417001 Gorkenesh Bishkek [Region: Kyrgyz Republic] 417002 Issyk-Kul [Region: Kyrgyz Republic] 417003 Dzhalal-Abad [Region: Kyrgyz Republic] 417004 Naryn [Region: Kyrgyz Republic] 417005 Batken [Region: Kyrgyz Republic] 417006 Oshskaya [Region: Kyrgyz Republic] 417007 Talasskaya [Region: Kyrgyz Republic] 417008 Chuya [Region: Kyrgyz Republic] 430006 Bong [County: Liberia] 430009 Grand Bassa and Rivercess [County: Liberia] 430012 Grand Cape Mount [County: Liberia] 430015 Grand Gedeh and River Gee [County: Liberia] 430021 Lofa and Gbarpolu [County: Liberia] 430027 Maryland and Grand Kru [County: Liberia] 430030 Montserrado, Bomi, and Margibi [County: Liberia] 430033 Nimba [County: Liberia] 430039 Sinoe [County: Liberia] 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 Nkhota Kota [District: Malawi] 454203 Ntchisi [District: Malawi] 454204 Dowa [District: Malawi] 454205 Salima [District: Malawi] 454206 Lilongwe [District: Malawi] 454207 Mchinji [District: Malawi] 454208 Dedza [District: Malawi] 454209 Ntcheu [District: Malawi] 454301 Mangochi [District: Malawi] 454302 Machinga [District: Malawi] 454303 Zomba [District: Malawi] 454304 Chiradzulu [District: Malawi] 454305 Blantyre [District: Malawi] 454307 Thyolo [District: Malawi] 454308 Mulanje [District: Malawi] 454310 Chikwawa [District: Malawi] 454311 Nsanje [District: Malawi] 454313 Mwanza, Neno [District: Malawi] 458001 Johor [State: Malaysia] 458002 Kedah [State: Malaysia] 458003 Kelantan [State: Malaysia] 458004 Melaka [State: Malaysia] 458005 Negeri Sembilan [State: Malaysia] 458006 Pahang [State: Malaysia] 458007 Pulau Pinang [State: Malaysia] 458008 Perak [State: Malaysia] 458009 Perlis [State: Malaysia] 458010 Selangor and Kuala Lumpur Federal Territory [State: Malaysia] 458011 Terengganu [State: Malaysia] 458012 Sabah and Labuan Federal Territory [State: Malaysia] 458013 Sarawak [State: Malaysia] 466001 Kayes [Region: Mali] 466002 Koulikoro [Region: Mali] 466003 Sikasso [Region: Mali] 466004 Ségou [Region: Mali] 466005 Mopti [Region: Mali] 466006 Tombouctou [Region: Mali] 466007 Gao and Kidal [Region: Mali] 466009 Bamako [Region: Mali] 466099 Unknown [Region: Mali] 484001 Aguascalientes [State: Meico] 484002 Baja California [State: Meico] 484003 Baja California Sur [State: Meico] 484004 Campeche [State: Meico] 484005 Coahuila [State: Meico] 484006 Colima [State: Meico] 484007 Chiapas [State: Meico] 484008 Chihuahua [State: Meico] 484009 Distrito Federal [State: Meico] 484010 Durango [State: Meico] 484011 Guanajuato [State: Meico] 484012 Guerrero [State: Meico] 484013 Hidalgo [State: Meico] 484014 Jalisco [State: Meico] 484015 México [State: Meico] 484016 Michoacán [State: Meico] 484017 Morelos [State: Meico] 484018 Nayarit [State: Meico] 484019 Nuevo León [State: Meico] 484020 Oaxaca [State: Meico] 484021 Puebla [State: Meico] 484022 Querétaro [State: Meico] 484023 Quintana Roo [State: Meico] 484024 San Luis Potosí [State: Meico] 484025 Sinaloa [State: Meico] 484026 Sonora [State: Meico] 484027 Tabasco [State: Meico] 484028 Tamaulipas [State: Meico] 484029 Tlaxcala [State: Meico] 484030 Veracruz [State: Meico] 484031 Yucatán [State: Meico] 484032 Zacatecas [State: Meico] 496001 Arkhangai [Province: Mongolia] 496002 Bayan-Ölgii [Province: Mongolia] 496003 Bayankhongor [Province: Mongolia] 496004 Bulgan [Province: Mongolia] 496005 Govi-Altai [Province: Mongolia] 496006 Dornogovi [Province: Mongolia] 496007 Dornod [Province: Mongolia] 496008 Dundgovi and Govisumber [Province: Mongolia] 496009 Zavkhan [Province: Mongolia] 496010 Övörkhangai [Province: Mongolia] 496011 Ömnögovi [Province: Mongolia] 496012 Sükhbaatar [Province: Mongolia] 496013 Selenge [Province: Mongolia] 496014 Töv [Province: Mongolia] 496015 Uvs [Province: Mongolia] 496016 Khovd [Province: Mongolia] 496017 Khövsgöl [Province: Mongolia] 496018 Khentii [Province: Mongolia] 496019 Darkhan-Uul [Province: Mongolia] 496020 Ulaanbaatar [Province: Mongolia] 496021 Orkhon [Province: Mongolia] 504001 Oued-Ed-Dahab-Lagouira [Region: Morocco] 504002 Laâyoune-Boujdour-Sakia El Hamra [Region: Morocco] 504003 Guelmin-Es-Samara [Region: Morocco] 504004 Souss-Massa-Draâ [Region: Morocco] 504005 Charb-Chrarda-Béni Hssen [Region: Morocco] 504006 Chaouia-Ouardigha [Region: Morocco] 504007 Marrakech-Tensift-Al Haouz [Region: Morocco] 504008 Oriental [Region: Morocco] 504009 Grand-Casablanca [Region: Morocco] 504010 Rabat-Salé-Zemmour-Zaer [Region: Morocco] 504011 Doukala Abda [Region: Morocco] 504012 Tadla Azilal [Region: Morocco] 504013 Meknès-Tafilalet [Region: Morocco] 504014 Fès-Boulemane [Region: Morocco] 504015 Taza-Al Heiceima-Taounate [Region: Morocco] 504016 Tanger-Tétouan [Region: Morocco] 508001 Niassa [Province: Mozambique] 508002 Cabo Delgado [Province: Mozambique] 508003 Nampula [Province: Mozambique] 508004 Zambézia [Province: Mozambique] 508005 Tete [Province: Mozambique] 508006 Manica [Province: Mozambique] 508007 Sofala [Province: Mozambique] 508008 Inhambane [Province: Mozambique] 508009 Gaza [Province: Mozambique] 508010 Maputo province [Province: Mozambique] 508011 Maputo city [Province: Mozambique] 524001 Mechi [Administrative zone: Nepal] 524002 Koshi [Administrative zone: Nepal] 524003 Sagarmatha [Administrative zone: Nepal] 524004 Janakpur [Administrative zone: Nepal] 524005 Bagmati [Administrative zone: Nepal] 524006 Narayani [Administrative zone: Nepal] 524007 Gandaki [Administrative zone: Nepal] 524008 Dhawalagiri [Administrative zone: Nepal] 524009 Lumbini [Administrative zone: Nepal] 524010 Rapti [Administrative zone: Nepal] 524011 Bheri [Administrative zone: Nepal] 524012 Karnali [Administrative zone: Nepal] 524013 Seti [Administrative zone: Nepal] 524014 Mahakali [Administrative zone: Nepal] 558005 Nueva Segovia [Department: Nicaragua] 558010 Jinotega [Department: Nicaragua] 558020 Madríz [Department: Nicaragua] 558030 Chinandega [Department: Nicaragua] 558035 Leon and Esteli [Department: Nicaragua] 558040 Matagalpa [Department: Nicaragua] 558050 Boaco [Department: Nicaragua] 558055 Managua [Department: Nicaragua] 558060 Masaya [Department: Nicaragua] 558065 Chontales [Department: Nicaragua] 558070 Granada [Department: Nicaragua] 558075 Carazo [Department: Nicaragua] 558080 Rivas [Department: Nicaragua] 558085 Río San Juan [Department: Nicaragua] 558093 Atlántico Norte and Atlántico Sur [Department: Nicaragua] 558099 Unknown [Department: Nicaragua] 566001 Abia [State: Nigeria] 566002 Adamawa [State: Nigeria] 566003 Akwa Ibom [State: Nigeria] 566004 Anambra [State: Nigeria] 566005 Bauchi [State: Nigeria] 566006 Bayelsa [State: Nigeria] 566007 Benue [State: Nigeria] 566008 Borno [State: Nigeria] 566009 Cross River [State: Nigeria] 566010 Delta [State: Nigeria] 566011 Ebonyi [State: Nigeria] 566012 Edo [State: Nigeria] 566013 Ekiti [State: Nigeria] 566014 Enugu [State: Nigeria] 566015 Gombe [State: Nigeria] 566016 Imo [State: Nigeria] 566017 Jigawa [State: Nigeria] 566018 Kaduna [State: Nigeria] 566019 Kano [State: Nigeria] 566020 Katsina [State: Nigeria] 566021 Kebbi [State: Nigeria] 566022 Kogi [State: Nigeria] 566023 Kwara [State: Nigeria] 566024 Lagos [State: Nigeria] 566025 Nasarawa [State: Nigeria] 566026 Niger [State: Nigeria] 566027 Ogun [State: Nigeria] 566028 Ondo [State: Nigeria] 566029 Osun [State: Nigeria] 566030 Oyo [State: Nigeria] 566031 Plateau [State: Nigeria] 566032 Rivers [State: Nigeria] 566033 Sokoto [State: Nigeria] 566034 Taraba [State: Nigeria] 566035 Yobe [State: Nigeria] 566036 Zamfara [State: Nigeria] 566037 Federal Capital Territory Abuja [State: Nigeria] 566099 Unknown [State: Nigeria] 586001 North-West Frontier Province [Province: Pakistan] 586002 Fata [Province: Pakistan] 586003 Punjab, Islamabad [Province: Pakistan] 586004 Sind [Province: Pakistan] 586005 Baluchistan [Province: Pakistan] 586007 Northern areas [Province: Pakistan] 586008 Kashmir [Province: Pakistan] 591002 Coclé [Province: Panama] 591003 Colón, Comarca Kuna Yala (San Blas) [Province: Panama] 591004 Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama] 591005 Comarca Emberá, Darién [Province: Panama] 591006 Herrera [Province: Panama] 591007 Los Santos [Province: Panama] 591008 Panamá [Province: Panama] 600000 Asunción [Department: Paraguay] 600001 Concepción [Department: Paraguay] 600002 San Pedro [Department: Paraguay] 600007 Itapúa [Department: Paraguay] 600008 Misiones and Ñeembucú [Department: Paraguay] 600009 Guairá, Caazapá, and Paraguarí [Department: Paraguay] 600010 Cordillera, Caaguazú, Alto Paraná, and Canindeyú [Department: Paraguay] 600011 Central [Department: Paraguay] 600013 Amambay [Department: Paraguay] 600015 Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay] 600099 Unknown [Department: Paraguay] 604001 Amazonas [Region: Peru] 604002 Ancash [Region: Peru] 604003 Apurímac [Region: Peru] 604004 Arequipa [Region: Peru] 604005 Ayacucho [Region: Peru] 604006 Cajamarca [Region: Peru] 604007 Callao [Region: Peru] 604008 Cusco [Region: Peru] 604009 Huancavelica [Region: Peru] 604010 Huánuco [Region: Peru] 604011 Ica [Region: Peru] 604012 Junín [Region: Peru] 604013 La Libertad [Region: Peru] 604014 Lambayeque [Region: Peru] 604015 Lima [Region: Peru] 604016 Loreto [Region: Peru] 604017 Madre de Dios [Region: Peru] 604018 Moquegua [Region: Peru] 604019 Pasco [Region: Peru] 604020 Piura [Region: Peru] 604021 Puno [Region: Peru] 604022 San Martín [Region: Peru] 604023 Tacna [Region: Peru] 604024 Tumbes [Region: Peru] 604025 Ucayali [Region: Peru] 608001 Ilocos [Region: Philippines] 608002 Cagayan Valley [Region: Philippines] 608003 Central Luzon [Region: Philippines] 608004 Southern Tagalog [Region: Philippines] 608005 Bicol [Region: Philippines] 608006 Western Visayas [Region: Philippines] 608007 Central Visayas [Region: Philippines] 608008 Eastern Visayas [Region: Philippines] 608009 Western Mindanao [Region: Philippines] 608011 Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines] 608012 Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines] 608013 National Capital Region [Region: Philippines] 608014 Cordillera Administrative Region [Region: Philippines] 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] 630101 G7201001 [PUMA: Puerto Rico] 630104 G7201002, G7201003, G7201004 [PUMA: Puerto Rico] 630110 G7201100 [PUMA: Puerto Rico] 630180 G7201800 [PUMA: Puerto Rico] 630200 G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico] 630250 G7202500 [PUMA: Puerto Rico] 642001 Alba [County: Romania] 642002 Arad [County: Romania] 642003 Arges [County: Romania] 642004 Bacau [County: Romania] 642005 Bihor [County: Romania] 642006 Bistrita Nasaud [County: Romania] 642007 Botosani [County: Romania] 642008 Brasov [County: Romania] 642009 Braila [County: Romania] 642010 Buzau [County: Romania] 642011 Caras Severin [County: Romania] 642012 Cluj [County: Romania] 642013 Constanta [County: Romania] 642014 Covasna [County: Romania] 642015 Dimbovita [County: Romania] 642016 Dolj [County: Romania] 642017 Galati [County: Romania] 642018 Gorj [County: Romania] 642019 Harghita [County: Romania] 642020 Hunedoara [County: Romania] 642022 Iasi [County: Romania] 642024 Maramures [County: Romania] 642025 Mehedinti [County: Romania] 642026 Mures [County: Romania] 642027 Neamt [County: Romania] 642028 Olt [County: Romania] 642029 Prahova [County: Romania] 642030 Satu Mare [County: Romania] 642031 Salaj [County: Romania] 642032 Sibiu [County: Romania] 642033 Suceava [County: Romania] 642034 Teleorman [County: Romania] 642035 Timis [County: Romania] 642036 Tulcea [County: Romania] 642037 Vaslui [County: Romania] 642038 Valcea [County: Romania] 642039 Vrancea [County: Romania] 642043 Bucharest Sector 1 to 6 [County: Romania] 642051 Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania] 646001 Kigali City [Province: Rwanda] 646002 Kigali Ngali [Province: Rwanda] 646004 Gitarama [Province: Rwanda] 646005 Butare [Province: Rwanda] 646006 Gikongoro [Province: Rwanda] 646007 Cyangugu [Province: Rwanda] 646008 Kibuye [Province: Rwanda] 646009 Gisenyi [Province: Rwanda] 646010 Ruhengeri [Province: Rwanda] 646012 Byumba, Kibungo and Umutara [Province: Rwanda] 686001 Dakar [Region: Senegal] 686002 Diourbel [Region: Senegal] 686003 Fatick [Region: Senegal] 686004 Kaolack [Region: Senegal] 686005 Kolda [Region: Senegal] 686008 Louga, Saint Louis, Matam [Region: Senegal] 686009 Tambacounda [Region: Senegal] 686010 Thiès [Region: Senegal] 686011 Ziguinchor [Region: Senegal] 694011 Kailahun [District: Sierra Leone] 694012 Kenema [District: Sierra Leone] 694013 Kono [District: Sierra Leone] 694021 Bombali [District: Sierra Leone] 694022 Kambia [District: Sierra Leone] 694023 Koinadugu [District: Sierra Leone] 694024 Port Loko [District: Sierra Leone] 694025 Tonkolili [District: Sierra Leone] 694031 Bo [District: Sierra Leone] 694032 Bonthe [District: Sierra Leone] 694033 Moyamba [District: Sierra Leone] 694034 Pujehun [District: Sierra Leone] 694041 Western - rural [District: Sierra Leone] 694042 Western - urban [District: Sierra Leone] 704001 Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam] 704002 Ha Giang and Tuyen Quang [Province: Vietnam] 704004 Cao Bang [Province: Vietnam] 704014 Son La [Province: Vietnam] 704015 Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam] 704019 Bac Kan and Thai Nguyen [Province: Vietnam] 704020 Lang Son [Province: Vietnam] 704022 Quang Ninh [Province: Vietnam] 704024 Bac Giang, and Bac Ninh [Province: Vietnam] 704030 Hai Duong and Hung Yen [Province: Vietnam] 704031 Hai Phong [Province: Vietnam] 704034 Thai Binh [Province: Vietnam] 704038 Thanh Hoa [Province: Vietnam] 704040 Nghe An and Ha Tinh [Province: Vietnam] 704046 Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam] 704049 Da Nang and Quang Nam [Province: Vietnam] 704051 Binh Dinh and Quang Ngai [Province: Vietnam] 704054 Phu Yen and Khanh Hoa [Province: Vietnam] 704060 Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam] 704062 Gia Lai and Kon Tum [Province: Vietnam] 704066 Dak Lak and Dak Nong [Province: Vietnam] 704068 Lam Dong [Province: Vietnam] 704072 Tay Ninh [Province: Vietnam] 704074 Binh Duong and Binh Phuoc [Province: Vietnam] 704075 Dong Nai and Ba Ria - Vung Tau [Province: Vietnam] 704079 Ho Chi Minh City [Province: Vietnam] 704080 Long An [Province: Vietnam] 704082 Tien Giang [Province: Vietnam] 704083 Ben Tre [Province: Vietnam] 704086 Vinh Long and Tra Vinh [Province: Vietnam] 704087 Dong Thap [Province: Vietnam] 704089 An Giang [Province: Vietnam] 704091 Kien Giang [Province: Vietnam] 704094 Hau Giang, Can Tho City, and Soc Trang [Province: Vietnam] 704096 Bac Lieu and Ca Mau [Province: Vietnam] 705001 Pomurska [Region: Slovenia] 705002 Podravska [Region: Slovenia] 705003 Koroška [Region: Slovenia] 705004 Savinjska [Region: Slovenia] 705005 Zasavska [Region: Slovenia] 705006 Spodnjeposavska [Region: Slovenia] 705007 Jugovzhodna Slovenija [Region: Slovenia] 705008 Osrednjeslovenska [Region: Slovenia] 705009 Gorenjska [Region: Slovenia] 705010 Notranjsko-kraška [Region: Slovenia] 705011 Goriška [Region: Slovenia] 705012 Obalno-kraška [Region: Slovenia] 705099 Unknown [Region: Slovenia] 710001 Western Cape [Province: South Africa] 710004 Free State [Province: South Africa] 710005 Eastern Cape, KwaZulu-Natal [Province: South Africa] 710007 Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa] 710999 Unknown [Province: South Africa] 724011 Galicia [Communities and Autonomous Cities: Spain] 724012 Principado de Asturias [Communities and Autonomous Cities: Spain] 724013 Cantabria [Communities and Autonomous Cities: Spain] 724021 País Vasco [Communities and Autonomous Cities: Spain] 724022 Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain] 724023 La Rioja [Communities and Autonomous Cities: Spain] 724024 Aragón [Communities and Autonomous Cities: Spain] 724030 Comunidad de Madrid [Communities and Autonomous Cities: Spain] 724041 Castilla y León [Communities and Autonomous Cities: Spain] 724042 Castilla-La Mancha [Communities and Autonomous Cities: Spain] 724043 Extremadura [Communities and Autonomous Cities: Spain] 724051 Cataluña [Communities and Autonomous Cities: Spain] 724052 Comunidad Valenciana [Communities and Autonomous Cities: Spain] 724053 Illes Balears [Communities and Autonomous Cities: Spain] 724061 Andalucía [Communities and Autonomous Cities: Spain] 724062 Región de Murcia [Communities and Autonomous Cities: Spain] 724063 Ciudad Autónoma de Ceuta [Communities and Autonomous Cities: Spain] 724064 Ciudad Autónoma de Melilla [Communities and Autonomous Cities: Spain] 724070 Canarias [Communities and Autonomous Cities: Spain] 724099 Unknown [Communities and Autonomous Cities: Spain] 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] 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] 756001 Zurich [Canton: Switzerland] 756002 Bern [Canton: Switzerland] 756003 Luzern (Lucerne) [Canton: Switzerland] 756004 Uri [Canton: Switzerland] 756005 Schwyz [Canton: Switzerland] 756006 Obwalden (Obwald) [Canton: Switzerland] 756007 Nidwalden (Nidwald) [Canton: Switzerland] 756008 Glarus [Canton: Switzerland] 756009 Zug [Canton: Switzerland] 756010 Fribourg [Canton: Switzerland] 756011 Solothurn [Canton: Switzerland] 756012 Basel-Stadt (Basel-City) [Canton: Switzerland] 756013 Basel-Landschaft (Basel-Country) [Canton: Switzerland] 756014 Schaffhausen [Canton: Switzerland] 756015 Outer and Inner Rhodes [Canton: Switzerland] 756017 St. Gallen (St. Gall) [Canton: Switzerland] 756018 Graubundun (Grisons) [Canton: Switzerland] 756019 Aargau (Argovia) [Canton: Switzerland] 756020 Thurgau (Thurgovia) [Canton: Switzerland] 756021 Ticino [Canton: Switzerland] 756022 Vaud [Canton: Switzerland] 756023 Valais [Canton: Switzerland] 756024 Neuchatel [Canton: Switzerland] 756025 Geneva [Canton: Switzerland] 756026 Jura [Canton: Switzerland] 764010 Bangkok [Province: Thailand] 764011 Samut Prakan [Province: Thailand] 764012 Nonthaburi [Province: Thailand] 764013 Pathum Thani [Province: Thailand] 764014 Phra Nakhon si Ayutthaya [Province: Thailand] 764015 Ang Thong [Province: Thailand] 764016 Lop Buri [Province: Thailand] 764017 Sing Buri [Province: Thailand] 764018 Chai Nat [Province: Thailand] 764019 Prachin Buri and Sa Kaeo [Province: Thailand] 764020 Chon Buri [Province: Thailand] 764021 Rayong [Province: Thailand] 764022 Chanthaburi [Province: Thailand] 764023 Trat [Province: Thailand] 764024 Chachoengsao [Province: Thailand] 764026 Nakhon Nayok [Province: Thailand] 764027 Saraburi [Province: Thailand] 764030 Nakhon Ratchasima [Province: Thailand] 764031 Buri Ram [Province: Thailand] 764032 Surin [Province: Thailand] 764033 Si Sa Ket [Province: Thailand] 764034 Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand] 764036 Chaiyaphum [Province: Thailand] 764040 Khon Kaen [Province: Thailand] 764041 Udon Thani and Nong Bua Lam Phu [Province: Thailand] 764042 Loei [Province: Thailand] 764043 Nong Khai [Province: Thailand] 764044 Maha Sarakham [Province: Thailand] 764045 Roi Et [Province: Thailand] 764046 Kalasin [Province: Thailand] 764047 Sakon Nakhon [Province: Thailand] 764048 Nakhon Phanom and Mukdahan [Province: Thailand] 764050 Chiang Mai [Province: Thailand] 764051 Lamphun [Province: Thailand] 764052 Lampang [Province: Thailand] 764053 Uttaradit [Province: Thailand] 764054 Phrae [Province: Thailand] 764055 Nan [Province: Thailand] 764057 Chiang Rai and Phayao [Province: Thailand] 764058 Mae Hong Son [Province: Thailand] 764060 Nakhon Sawan [Province: Thailand] 764061 Uthai Thani [Province: Thailand] 764062 Kamphaeng Phet [Province: Thailand] 764063 Tak [Province: Thailand] 764064 Sukhothai [Province: Thailand] 764065 Phitsanulok [Province: Thailand] 764066 Phichit [Province: Thailand] 764067 Phetchabun [Province: Thailand] 764070 Ratchaburi [Province: Thailand] 764071 Kanchanaburi [Province: Thailand] 764072 Suphanburi [Province: Thailand] 764073 Nakhon Pathom [Province: Thailand] 764074 Samut Sakhon [Province: Thailand] 764075 Samut Songkhram [Province: Thailand] 764076 Phetchaburi [Province: Thailand] 764077 Prachuap Khiri Khan [Province: Thailand] 764080 Nakhon Si Thammarat [Province: Thailand] 764081 Krabi [Province: Thailand] 764082 Phangnga [Province: Thailand] 764083 Phuket [Province: Thailand] 764084 Surat Thani [Province: Thailand] 764085 Ranong [Province: Thailand] 764086 Chumphon [Province: Thailand] 764090 Songkhla [Province: Thailand] 764091 Satun [Province: Thailand] 764092 Trang [Province: Thailand] 764093 Phatthalung [Province: Thailand] 764094 Pattani [Province: Thailand] 764095 Yala [Province: Thailand] 764096 Narathiwat [Province: Thailand] 792001 Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey] 792002 Adiyaman [Province: Turkey] 792003 Afyon [Province: Turkey] 792004 Agri [Province: Turkey] 792005 Amasya [Province: Turkey] 792006 Ankara and Kirikkale [Province: Turkey] 792007 Antalya [Province: Turkey] 792008 Artvin [Province: Turkey] 792009 Aydin [Province: Turkey] 792010 Balikesir [Province: Turkey] 792011 Bilecik [Province: Turkey] 792012 Bingöl [Province: Turkey] 792013 Bitlis [Province: Turkey] 792014 Bolu and Düzce [Province: Turkey] 792015 Burdur [Province: Turkey] 792017 Çanakkale [Province: Turkey] 792019 Çorum [Province: Turkey] 792020 Denizli [Province: Turkey] 792021 Diyarbakir [Province: Turkey] 792022 Edirne [Province: Turkey] 792023 Elazig [Province: Turkey] 792024 Erzincan [Province: Turkey] 792025 Erzurum [Province: Turkey] 792026 Eskisehir [Province: Turkey] 792028 Giresun [Province: Turkey] 792029 Gümüshane and Bayburt [Province: Turkey] 792031 Hatay [Province: Turkey] 792032 Isparta [Province: Turkey] 792033 Mersin (içel) [Province: Turkey] 792034 Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey] 792035 Izmir [Province: Turkey] 792036 Kars, Ardahan and Igdir [Province: Turkey] 792037 Kastamonu [Province: Turkey] 792038 Kayseri [Province: Turkey] 792039 Kirklareli [Province: Turkey] 792040 Kirsehir [Province: Turkey] 792042 Konya and Karaman [Province: Turkey] 792043 Kütahya [Province: Turkey] 792044 Malatya [Province: Turkey] 792045 Manisa [Province: Turkey] 792046 Kahramanmaras [Province: Turkey] 792047 Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey] 792048 Mugla [Province: Turkey] 792049 Mus [Province: Turkey] 792050 Nevsehir [Province: Turkey] 792051 Nigde and Aksaray [Province: Turkey] 792052 Ordu [Province: Turkey] 792053 Rize [Province: Turkey] 792054 Sakarya [Province: Turkey] 792055 Samsun [Province: Turkey] 792057 Sinop [Province: Turkey] 792058 Sivas [Province: Turkey] 792059 Tekirdag [Province: Turkey] 792060 Tokat [Province: Turkey] 792061 Trabzon [Province: Turkey] 792062 Tunceli [Province: Turkey] 792063 Sanliurfa [Province: Turkey] 792064 Usak [Province: Turkey] 792065 Van [Province: Turkey] 792066 Yozgat [Province: Turkey] 792067 Zonguldak, Çankiri, Karabuk and Bartin [Province: Turkey] 800101 Kalangala [District: Uganda] 800102 Kampala [District: Uganda] 800103 Kiboga [District: Uganda] 800104 Luwero and Nakasongola [District: Uganda] 800105 Masaka and Sembabule [District: Uganda] 800107 Mubende [District: Uganda] 800108 Mukono and Kayunga [District: Uganda] 800110 Rakai [District: Uganda] 800113 Mpigi and Wakiso [District: Uganda] 800203 Iganga, Buguri, and Mayuge [District: Uganda] 800204 Jinja [District: Uganda] 800205 Kamuli [District: Uganda] 800206 Kapchorwa [District: Uganda] 800208 Kumi [District: Uganda] 800209 Mbale and Sironko [District: Uganda] 800210 Pallisa [District: Uganda] 800211 Soroti, Katakwi, and Kaberamaido [District: Uganda] 800212 Busia and Tororo [District: Uganda] 800301 Moyo and Adjumani [District: Uganda] 800302 Apac [District: Uganda] 800303 Arua and Yumbe [District: Uganda] 800304 Gulu [District: Uganda] 800306 Kotido [District: Uganda] 800307 Lira [District: Uganda] 800308 Moroto and Nakapiripirit [District: Uganda] 800310 Nebbi [District: Uganda] 800312 Kitgum and Pader [District: Uganda] 800401 Bundibugyo [District: Uganda] 800403 Hoima [District: Uganda] 800404 Kabale [District: Uganda] 800405 Kabarole, Kamwenge, and Kyenjojo [District: Uganda] 800406 Kasese [District: Uganda] 800407 Kibaale [District: Uganda] 800408 Kisoro [District: Uganda] 800409 Masindi [District: Uganda] 800410 Bushenyi, Mbarara, and Ntungamo [District: Uganda] 800412 Rukungiri and Kanungu [District: Uganda] 800999 Unknown [District: Uganda] 804001 The Autonomous Republic of Crimea [Region: Ukraine] 804005 Vinnytska oblast [Region: Ukraine] 804007 Volynska oblast [Region: Ukraine] 804012 Dnipropetrovska oblast [Region: Ukraine] 804014 Donetska oblast [Region: Ukraine] 804018 Zhytomyrska oblast [Region: Ukraine] 804021 Zakarpatska oblast [Region: Ukraine] 804023 Zaporizka oblast [Region: Ukraine] 804026 Ivano-Frankivska oblast [Region: Ukraine] 804032 Kyivska oblast [Region: Ukraine] 804035 Kirovohradska oblast [Region: Ukraine] 804044 Luhanska oblast [Region: Ukraine] 804046 Lvivska oblast [Region: Ukraine] 804048 Mykolaivska oblast [Region: Ukraine] 804051 Odeska oblast [Region: Ukraine] 804053 Poltavska oblast [Region: Ukraine] 804056 Rivnenska oblast [Region: Ukraine] 804059 Sumska oblast [Region: Ukraine] 804061 Ternopilska oblast [Region: Ukraine] 804063 Kharkivska oblast [Region: Ukraine] 804065 Khersonska oblast [Region: Ukraine] 804068 Khmelnytska oblast [Region: Ukraine] 804071 Cherkaska oblast [Region: Ukraine] 804073 Chernivetska oblast [Region: Ukraine] 804074 Chernihivska oblast [Region: Ukraine] 804080 Kyiv [Region: Ukraine] 804085 Sevastopol [Region: Ukraine] 818001 Cairo [Governorate: Egypt] 818002 Alexandria [Governorate: Egypt] 818003 Port Said [Governorate: Egypt] 818004 Suez [Governorate: Egypt] 818011 Damietta [Governorate: Egypt] 818012 Dakahlia [Governorate: Egypt] 818013 Sharkia [Governorate: Egypt] 818014 Kaliobia [Governorate: Egypt] 818015 Kafr Sheikh [Governorate: Egypt] 818016 Gharbia [Governorate: Egypt] 818017 Menoufia [Governorate: Egypt] 818018 Behera [Governorate: Egypt] 818019 Ismailia [Governorate: Egypt] 818021 Giza [Governorate: Egypt] 818022 Bani Swif [Governorate: Egypt] 818023 Fayoum [Governorate: Egypt] 818024 Menia [Governorate: Egypt] 818025 Asiut [Governorate: Egypt] 818026 Sohag [Governorate: Egypt] 818027 Qena [Governorate: Egypt] 818028 Aswan [Governorate: Egypt] 818029 Luxor [Governorate: Egypt] 818031 Red Sea [Governorate: Egypt] 818032 New Valley [Governorate: Egypt] 818033 Marsa Matroh [Governorate: Egypt] 818034 North Sinai [Governorate: Egypt] 818035 South Sinai [Governorate: Egypt] 826011 North East [Region: United Kingdom] 826013 North West [Region: United Kingdom] 826014 Yorkshire and the Humber [Region: United Kingdom] 826021 East Midlands [Region: United Kingdom] 826022 West Midlands [Region: United Kingdom] 826031 East of England [Region: United Kingdom] 826032 South East and London [Region: United Kingdom] 826040 South West [Region: United Kingdom] 826060 Scotland [Region: United Kingdom] 826070 Wales [Region: United Kingdom] 826080 Northern Ireland [Region: United Kingdom] 834001 Dodoma [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 Ruvumba [Region: Tanzania] 834011 Iringa [Region: Tanzania] 834012 Mbeya [Region: Tanzania] 834013 Singida [Region: Tanzania] 834014 Tabora [Region: Tanzania] 834015 Rukwa [Region: Tanzania] 834016 Kigoma [Region: Tanzania] 834017 Shinyanga [Region: Tanzania] 834018 Kagera [Region: Tanzania] 834019 Mwanza [Region: Tanzania] 834020 Mara [Region: Tanzania] 834021 Arusha and Manyara [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] 840001 Alabama [State: U.S.] 840002 Alaska [State: U.S.] 840004 Arizona [State: U.S.] 840005 Arkansas [State: U.S.] 840006 California [State: U.S.] 840008 Colorado [State: U.S.] 840009 Connecticut [State: U.S.] 840010 Delaware [State: U.S.] 840011 District of Columbia [State: U.S.] 840012 Florida [State: U.S.] 840013 Georgia [State: U.S.] 840015 Hawaii [State: U.S.] 840016 Idaho [State: U.S.] 840017 Illinois [State: U.S.] 840018 Indiana [State: U.S.] 840019 Iowa [State: U.S.] 840020 Kansas [State: U.S.] 840021 Kentucky [State: U.S.] 840022 Louisiana [State: U.S.] 840023 Maine [State: U.S.] 840024 Maryland [State: U.S.] 840025 Massachusetts [State: U.S.] 840026 Michigan [State: U.S.] 840027 Minnesota [State: U.S.] 840028 Mississippi [State: U.S.] 840029 Missouri [State: U.S.] 840030 Montana [State: U.S.] 840031 Nebraska [State: U.S.] 840032 Nevada [State: U.S.] 840033 New Hampshire [State: U.S.] 840034 New Jersey [State: U.S.] 840035 New Mexico [State: U.S.] 840036 New York [State: U.S.] 840037 North Carolina [State: U.S.] 840038 North Dakota [State: U.S.] 840039 Ohio [State: U.S.] 840040 Oklahoma [State: U.S.] 840041 Oregon [State: U.S.] 840042 Pennsylvania [State: U.S.] 840044 Rhode Island [State: U.S.] 840045 South Carolina [State: U.S.] 840046 South Dakota [State: U.S.] 840047 Tennessee [State: U.S.] 840048 Texas [State: U.S.] 840049 Utah [State: U.S.] 840050 Vermont [State: U.S.] 840051 Virginia [State: U.S.] 840053 Washington [State: U.S.] 840054 West Virginia [State: U.S.] 840055 Wisconsin [State: U.S.] 840056 Wyoming [State: U.S.] 840099 State not identified [State: U.S.] 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] 858001 Montevideo [Department: Uruguay] 858002 Artigas [Department: Uruguay] 858003 Canelones [Department: Uruguay] 858004 Cerro Largo [Department: Uruguay] 858005 Colonia [Department: Uruguay] 858006 Durazno [Department: Uruguay] 858007 Flores [Department: Uruguay] 858008 Florida [Department: Uruguay] 858009 Lavalleja [Department: Uruguay] 858010 Maldonado [Department: Uruguay] 858011 Paysandú [Department: Uruguay] 858012 Río Negro [Department: Uruguay] 858013 Rivera [Department: Uruguay] 858014 Rocha [Department: Uruguay] 858015 Salto [Department: Uruguay] 858016 San Jose [Department: Uruguay] 858017 Soriano [Department: Uruguay] 858018 Tacuarembó [Department: Uruguay] 858019 Treinta Y Tres [Department: Uruguay] 862001 Federal District, Vargas [State: Venezuela] 862002 Amazonas Federal Territory [State: Venezuela] 862003 Anzoátegui [State: Venezuela] 862004 Apure [State: Venezuela] 862005 Aragua [State: Venezuela] 862007 Bolívar [State: Venezuela] 862008 Carabobo [State: Venezuela] 862009 Cojedes [State: Venezuela] 862010 Amacuros Delta Federal Territory [State: Venezuela] 862011 Falcón [State: Venezuela] 862012 Guárico [State: Venezuela] 862013 Lara [State: Venezuela] 862014 Barinas, Mérida [State: Venezuela] 862015 Miranda [State: Venezuela] 862016 Monagas [State: Venezuela] 862017 Nueva Esparta, Federal Dependencies [State: Venezuela] 862018 Portuguesa [State: Venezuela] 862019 Sucre [State: Venezuela] 862020 Táchira [State: Venezuela] 862021 Trujillo [State: Venezuela] 862022 Yaracuy [State: Venezuela] 862023 Zulia [State: Venezuela] 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] Geography: Global Variables -- HOUSEHOLD Dwelling number Dwelling number All households 0 0 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 Number of persons in household All households 0 0 This variable indicates the number of persons in the household. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 Dwelling created by splitting apart a large dwelling or household All households 0 0 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 All households 0 0 This variable indicates the region the dwelling is located. 1 Northern 2 Eastern 3 Khartoum 4 Central 5 Kordofan 6 Darfur Geography: M-Z Variables -- HOUSEHOLD State All households 0 0 This variable indicates the state the dwelling is located. 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 Geography: M-Z Variables -- HOUSEHOLD County All households 0 0 This variable indicates the county the dwelling is located. 1101 Halfa 1102 Dalgo 1103 Alborgaig 1104 Dongola 1105 Algolid 1106 Aldaba 1107 Marwai 1201 Abu Hamed 1202 Berber 1203 Atbara 1204 El Damar 1205 Shendi 1206 El Matama 2101 Halayib 2102 Elgunab 2103 Port Sudan 2104 Sawakin 2105 Senkat 2106 Haya 2107 Toker 2108 Agieg 2201 North Aldalta 2202 Hamashkoreeb 2203 Talkook 2204 Aroma rural 2205 West Kassala 2206 Kassala city 2207 Kassala rural 2208 Halfa Al Gedida 2209 Nahr Atbara 2210 Setit 2211 Wad El Hilaiw 2301 El Botana 2302 El Fashaga 2303 Central Al Gedarif 2304 Al Gedarif city 2305 Al Fau 2306 El Rahad 2307 Qala'a El Nahal 2308 Al Galabat Al Garbia 2309 El Ghoreisha 2310 El Galabat Sharquia 3101 Karrari 3102 Om Bada 3103 Om Durman 3104 Bahri 3105 Sharg Alneel 3106 Khartoum 3107 Jabel Awliya 4101 El Gezira East 4102 El Kamlin 4103 El Hasaheisa 4104 Um Algora 4105 Wad Madni Alkobra 4106 South Aljazeera 4107 El Managil 4201 El Geteina 4202 Um Rimta 4203 Eldiwiem 4204 Rabak 4205 El Jebelein 4206 Kosti 4207 Al Salam 4208 Tandalti 4301 East Sinnar 4302 Sinnar 4303 Eldindir 4304 Alsoki 4305 Sinja 4306 Abu Hugar 4307 Eldali 4401 Elrosieris 4402 Eldamazin 4403 Al Tdamon 4404 Bau 4405 Giesan 4406 Elkurmuk 5101 Gabrat Elshiekh 5102 Sodari 5103 Bara 5104 Um Rwaba 5105 El Nohook 5106 Shekan 5107 Abu Zabad 5108 Wad Banda 5109 Gebieash 5201 Alrashad 5202 Abu Jibieha 5203 El Dalanj 5204 Kadogli 5205 El Salam 5206 Talody 5207 Lagawa 5208 Kielak 5209 Ab Yei 6101 El Malha 6102 Mellit 6104 Sarf Omra 6105 Alseraf 6106 Kebkabiya 6107 Kutum 6108 Alkoma 6109 El Fasher 6110 Um Kedada 6111 Kalmando 6112 Altewash/Alleet 6114 Alwaha 6201 Kulbus 6202 Sirba 6203 Kirienik 6204 El Geneina 6205 Bayda 6206 Habiela 6207 Azoom 6208 Zalingei 6209 Nertiti 6211 Wadi Salih 6212 Mukjar 6213 Um Dukhun 6301 Sheiria 6302 Nyala 6303 East Jabal Mara 6304 Kass 6305 Ed Al Fursan 6306 Alsalam 6307 Ed Da'ein 6308 Adiela 6309 Tullus 6310 Rihied El Birdi 6311 Buram 6312 Bahr Alarab Geography: M-Z Variables -- HOUSEHOLD Urban/rural/nomad Urban/rural/nomad All households 0 0 This variable indicates whether the dwelling is in an urban or rural area, or the household is nomadic. 1 Urban 2 Rural 3 Nomad Geography: M-Z Variables -- HOUSEHOLD Type of household All households 0 0 This variable indicates the type of household. 1 Private household 2 Nomads 3 Internally displaced 6 Refugees Group Quarters Variables -- HOUSEHOLD Type of dwelling All households 0 0 This variable indicates the physical type of dwelling used by the household. 1 Tent 2 Dwelling of straw mats 3 Tukul /gottiya of mud 4 Tukul /gottiya of sticks 5 Flat or apartment 6 Villa 7 House of one floor, mud 8 House of one floor, brick/concrete 9 House constructed of wood 10 Multi-story house 11 Incomplete Dwelling Characteristics Variables -- HOUSEHOLD Number of sleeping rooms All households 0 0 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 9 9 10 10+ Dwelling Characteristics Variables -- HOUSEHOLD Tenure status All households 0 0 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 All households 0 0 This variable indicates the main source of drinking water for the household. 1 Water filtering station with common network 2 Mechanical boreholes with common network 3 Deep borehole (donkey) with network 4 Deep borehole (donkey) without network 5 Hand pump 6 Sand filter with common network 7 Shallow well (dug well) 8 Hafeer/Dam without filter (still open water) 9 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 All households 0 0 This variable indicates the main source of lighting for the household. 1 No lighting 2 Public electricity 3 Private electricity (generator) 4 Gas 5 Paraffin lantern 6 Paraffin lamp 7 Firewood 8 Grass 9 Candle wax 10 Solar power 11 Biogas Utilities Variables -- HOUSEHOLD Cooking fuel All households 0 0 This variable indicates the main type of cooking fuel used in the household. 1 Firewood 2 Charcoal 3 Gas 4 Electricity 5 Paraffin 6 Cow dung 7 Grass 8 Biogas 9 No cooking Utilities Variables -- HOUSEHOLD Toilet facilities All households 0 0 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 All households 0 0 This variable indicates whether any member of the household owns a motor vehicle. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Motorcycle All households 0 0 This variable indicates whether any member of the household owns a motorcycle. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Bicycle All households 0 0 This variable indicates whether any member of the household owns a bicycle. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Canoe/boat All households 0 0 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 All households 0 0 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 All households 0 0 This variable indicates whether any member of the household owns a tractor. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD No transport All households 0 0 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 All households 0 0 This variable indicates whether any member of the household owns a television. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Radio All households 0 0 This variable indicates whether any member of the household owns a radio. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Mobile phone All households 0 0 This variable indicates whether any member of the household owns a mobile phone. 1 Yes 2 No Utilities Variables -- HOUSEHOLD Fixed phone All households 0 0 This variable indicates whether any member of the household owns a fixed phone. 1 Yes 2 No Utilities Variables -- HOUSEHOLD Computer All households 0 0 This variable indicates whether any member of the household owns a computer. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Refrigerator All households 0 0 This variable indicates whether any member of the household owns a refrigerator. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Satellite dish All households 0 0 This variable indicates whether any member of the household owns a satellite dish. 1 Yes 2 No Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Fan All households 0 0 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 All households 0 0 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 All households 0 0 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 All households 0 0 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 All households 0 0 This variable indicates whether the household performs any cultivation/plantation activities. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Area of cultivation/plantation All households 0 0 0 No cultivation/plantation 1 1 feddan 2 2 feddans 3 3 4 4 5 5 6 6 7 7 8 8 9 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 to 34 35 35 to 39 40 40 to 44 45 45 to 49 50 50 to 54 55 55 to 59 60 60 to 64 65 65 to 69 70 70 to 74 75 75 to 79 80 80 to 84 85 85 to 89 90 90 to 94 95 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 459 460 460 to 479 480 480 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 Households that cultivate land 0 0 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 All households 0 0 This variable indicates whether the household performs any fishery activities. 1 Yes 2 No Other Household Variables -- HOUSEHOLD Cattle All households 0 0 This variable indicates the number of cattle the household owns. Other Household Variables -- HOUSEHOLD Camels All households 0 0 This variable indicates the number of camels the household owns. Other Household Variables -- HOUSEHOLD Sheep All households 0 0 This variable indicates the number of sheep the household owns. Other Household Variables -- HOUSEHOLD Goats All households 0 0 This variable indicates the number of goats the household owns. Other Household Variables -- HOUSEHOLD Horses All households 0 0 This variable indicates the number of horses the household owns. Other Household Variables -- HOUSEHOLD Donkeys All households 0 0 This variable indicates the number of donkeys the household owns. Other Household Variables -- HOUSEHOLD Pigs All households 0 0 This variable indicates the number of pigs the household owns. Other Household Variables -- HOUSEHOLD Poultry All households 0 0 This variable indicates the number of poultry the household owns. Other Household Variables -- HOUSEHOLD Deaths in last 12 months All households 0 0 This variable indicates whether there were any deaths among household members in the last 12 months. 1 Yes 2 No 9 Unknown Other Household Variables -- HOUSEHOLD Flag: type of household Flag: type of household All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: type of dwelling Flag: type of dwelling All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: number of rooms Flag: number of rooms All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: tenure Flag: tenure All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 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 Flag: source of drinking water All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 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 Flag: source of lighting All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid 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 Flag: cooking fuel All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid 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 Flag: toilet facilities All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: motor vehicle Flag: motor vehicle All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: motorcycle Flag: motorcycle All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: bicycle Flag: bicycle All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: canoe/boat Flag: canoe/boat All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: animal transport Flag: animal transport All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: tractor Flag: tractor All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: no transport Flag: no transport All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: television Flag: television All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: radio Flag: radio All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: mobile phone Flag: mobile phone All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: fixed phone Flag: fixed phone All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: computer Flag: computer All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: refrigerator Flag: refrigerator All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: satellite dish Flag: satellite dish All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: fan Flag: fan All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: air cooler/ac Flag: air cooler/ac All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: no household amenities Flag: no household amenities All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: source of livelihood Flag: source of livelihood All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: any cultivation/plantation Flag: any cultivation/plantation All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: area of cultivation/plantation Flag: area of cultivation/plantation All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: cereals Flag: cereals All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: vegetables Flag: vegetables All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: fruits and nuts Flag: fruits and nuts All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: oil seed Flag: oil seed All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: root and tuber crops Flag: root and tuber crops All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: beverage/spice Flag: beverage/spice All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: leguminous crops Flag: leguminous crops All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: sugar Flag: sugar All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: cotton Flag: cotton All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: coffee Flag: coffee All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: tea Flag: tea All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: other crop Flag: other crop All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: tenure status of land Flag: tenure status of land All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: fishery Flag: fishery All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: cattle Flag: cattle All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: camels Flag: camels All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: sheep Flag: sheep All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: goats Flag: goats All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: horses Flag: horses All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: donkeys Flag: donkeys All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: pigs Flag: pigs All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: poultry Flag: poultry All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Flag: deaths in last 12 months Flag: deaths in last 12 months All households 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Household Imputation Flags Variables -- HOUSEHOLD Housing weight Housing weight All households 0 0 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 Number of death records All households 0 0 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 Household weight 0 0 HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Sudan, State 2008 [Level 1; consistent boundaries, GIS] 0 0 729011 Northern 729012 Nahr El Nil 729021 Red Sea 729022 Kassala 729023 Al Gedarif 729031 Khartoum 729041 Al Gezira 729042 White Nile 729043 Sinnar 729044 Blue Nile 729051 North Kordofan 729052 South Kordofan 729061 North Darfur 729062 West Darfur 729063 South Darfur Geography: M-Z Variables -- HOUSEHOLD Sudan, County 2008 [Level 2; inconsistent boundaries, harmonized by name] 0 0 1101 Halfa 1102 Dalgo 1103 Alborgaig 1104 Dongola 1105 Algolid 1106 Aldaba 1107 Marwai 1201 Abu Hamed 1202 Berber 1203 Atbara 1204 El Damar 1205 Shendi 1206 El Matama 2101 Halayib 2102 Elgunab 2103 Port Sudan 2104 Sawakin 2105 Senkat 2106 Haya 2107 Toker 2108 Agieg 2201 North Aldalta 2202 Hamashkoreeb 2203 Talkook 2204 Aroma rural 2205 West Kassala 2206 Kassala city 2207 Kassala rural 2208 Halfa Al Gedida 2209 Nahr Atbara 2210 Setit 2211 Wad El Hilaiw 2301 El Botana 2302 El Fashaga 2303 Central Al Gedarif 2304 Al Gedarif city 2305 Al Fau 2306 El Rahad 2307 Qala'a El Nahal 2308 Al Galabat Al Garbia 2309 El Ghoreisha 2310 El Galabat Sharquia 3101 Karrari 3102 Om Bada 3103 Om Durman 3104 Bahri 3105 Sharg Alneel 3106 Khartoum 3107 Jabel Awliya 4101 El Gezira East 4102 El Kamlin 4103 El Hasaheisa 4104 Um Algora 4105 Wad Madni Alkobra 4106 South Aljazeera 4107 El Managil 4201 El Geteina 4202 Um Rimta 4203 Eldiwiem 4204 Rabak 4205 El Jebelein 4206 Kosti 4207 Al Salam 4208 Tandalti 4301 East Sinnar 4302 Sinnar 4303 Eldindir 4304 Alsoki 4305 Sinja 4306 Abu Hugar 4307 Eldali 4401 Elrosieris 4402 Eldamazin 4403 Al Tdamon 4404 Bau 4405 Giesan 4406 Elkurmuk 5101 Gabrat Elshiekh 5102 Sodari 5103 Bara 5104 Um Rwaba 5105 El Nohook 5106 Shekan 5107 Abu Zabad 5108 Wad Banda 5109 Gebieash 5201 Alrashad 5202 Abu Jibieha 5203 El Dalanj 5204 Kadogli 5205 El Salam 5206 Talody 5207 Lagawa 5208 Kielak 5209 Ab Yei 6101 El Malha 6102 Mellit 6104 Sarf Omra 6105 Alseraf 6106 Kebkabiya 6107 Kutum 6108 Alkoma 6109 El Fasher 6110 Um Kedada 6111 Kalmando 6112 Altewash/Alleet 6114 Alwaha 6201 Kulbus 6202 Sirba 6203 Kirienik 6204 El Geneina 6205 Bayda 6206 Habiela 6207 Azoom 6208 Zalingei 6211 Wadi Salih 6212 Mukjar 6299 Counties in West Darfur State under 20,000 6301 Sheiria 6302 Nyala 6304 Kass 6305 Ed Al Fursan 6306 Alsalam 6307 Ed Da'ein 6309 Tullus 6310 Rihied El Birdi 6311 Buram 6312 Bahr Alarab 6399 Counties in South Darfur State under 20,000 Geography: M-Z Variables -- HOUSEHOLD Number of married couples in household 0 0 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 0 0 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 0 0 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 Country 0 0 32 Argentina 40 Austria 50 Bangladesh 51 Armenia 68 Bolivia 76 Brazil 112 Belarus 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 214 Dominican Republic 218 Ecuador 222 El Salvador 231 Ethiopia 242 Fiji 250 France 275 Palestine 276 Germany 288 Ghana 300 Greece 324 Guinea 332 Haiti 348 Hungary 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 430 Liberia 454 Malawi 458 Malaysia 466 Mali 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 586 Pakistan 591 Panama 600 Paraguay 604 Peru 608 Philippines 620 Portugal 630 Puerto Rico 642 Romania 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 704 Vietnam 705 Slovenia 710 South Africa 724 Spain 728 South Sudan 729 Sudan 756 Switzerland 764 Thailand 792 Turkey 800 Uganda 804 Ukraine 818 Egypt 826 United Kingdom 834 Tanzania 840 United States 854 Burkina Faso 858 Uruguay 862 Venezuela 894 Zambia Technical Household Variables -- HOUSEHOLD Electricity 0 0 ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Number of bedrooms 0 0 BEDROOMS indicates the number of rooms available to members of the household for sleeping. 0 No bedrooms 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 Ownership of dwelling [general version] 0 0 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] 0 0 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) 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 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Main source of livelihood 0 0 LIVEHOOD describes the main source of livelihood of the household. If there were multiple sources, one had to be chosen as the most important. 0 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 99 Unknown Household Economic Variables -- HOUSEHOLD Cooking fuel 0 0 FUELCOOK indicates the predominant type of fuel or energy used for cooking. 0 NIU (not in universe) 10 None 20 Electricity 30 Petroleum gas, unspecified 31 Gas -- piped/utility 32 Gas -- tanked or bottled 33 Propane 35 Liquefied petroleum gas 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 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 Dung or grass 76 Solar energy 77 Candle 99 Unknown/missing Utilities Variables -- HOUSEHOLD Computer 0 0 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 Person number 0 0 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 3-digit numeric variable. Technical Person Variables -- PERSON Age 0 0 AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 0 Less than 1 year 1 1 year 2 2 years 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Sex 0 0 SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON State of birth, Sudan 0 0 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 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 99 Abroad Nativity and Birthplace Variables -- PERSON Country of citizenship 0 0 NATION indicates the person's country of citizenship. 0 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 Uganda 11160 Tanzania 11170 Zambia 11180 Zimbabwe 11999 Eastern Africa, 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, 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, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15991 Burkina-Faso, Niger, Ivory-Coast, Benin, Togo 15992 Liberia, Sierra-Leone, Nigeria, Ghana 15999 West Africa, n.s. 19990 Africa, n.s. 19991 Central and South Africa 19992 Arab African countries 19993 Non-Arab African countries 19994 Other Arab countries 19995 East, Central and South Africa 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Lucia 21210 St. Vincent 21220 Trinidad and Tobago 21230 Turks and Caicos 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24041 U.S. Outlying Areas and Territories 24090 U.S. and Canada 24999 North America, n.s. 29900 Americas, n.s. 29901 America/Oceania 29902 Central/South America, n.s. 29903 Central-America and Carribean 29904 Central/South America and Caribbean 29905 North and Central America, 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, 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, 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, n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34999 Western Asia, n.s. 39900 Asia, n.s. 39901 South-East/South Asia, n.s. 39902 West Central/Middle East Asia 39903 Arab Countries 39904 Non-Arab Asian countries 39905 Former Soviet Republics, Asia 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 41999 Eastern Europe, n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42990 Nordic countries 42999 Northern Europe, n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican 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, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44030 France 44040 Germany 44041 West Germany 44042 East Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, n.s. 49990 Europe, n.s. 49991 Central-Eastern Europe 49992 European Union (Original 15) 49993 Other European Union 49994 Former Soviet Republics, Europe 49995 EEA, Switzerland, associated microstates 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, n.e.c. 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, n.s. 59999 Oceania, n.s. 60000 Asia n.s. or Oceania n.s. 70000 Other Countries 70010 Europe, Australia and New Zealand 70020 Australia, New Zealand, and stateless 99997 No citizenship/nationality 99998 Foreign, country unknown 99999 Unknown Nativity and Birthplace Variables -- PERSON Citizenship 0 0 CITIZEN indicates the person's citizenship status within the country in which they were enumerated. 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Probable stepfather 0 0 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible Constructed Family Interrelationship Variables -- PERSON Probable stepmother 0 0 0 Biological mother or no mother present 1 Mother has no children borne 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 Woman is second or higher order wife 0 0 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 0 0 Constructed Family Interrelationship Variables -- PERSON Number of own family members in household 0 0 1 1 family member present 2 2 family members present 3 3 family members present 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household 0 0 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. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household 0 0 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. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 or more own children under age 5 in household Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household 0 0 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household 0 0 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age, grouped into intervals 0 0 AGE2 gives computed years of age grouped into intervals. 1 0 to 4 2 5 to 9 3 10 to 14 4 15 to 19 5 15 to 17 6 18 to 19 7 18 to 24 8 20 to 24 9 25 to 29 10 30 to 34 11 35 to 39 12 40 to 44 13 45 to 49 14 50 to 54 15 55 to 59 16 60 to 64 17 65 to 69 18 70 to 74 19 75 to 79 20 80+ 98 Unknown Demographic Variables -- PERSON Number of male children ever born 0 0 CHBORNM indicates the number of male children ever born to a woman. Only live births are counted. 0 No children 1 1 child 2 2 children 3 3 4 4 5 5 6 6 7 7 8 8 9 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 0 0 CHBORNF indicates the number of female children ever born to a woman. Only live births are counted. 0 No children 1 1 child 2 2 children 3 3 4 4 5 5 6 6 7 7 8 8 9 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 children dead 0 0 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. 0 None 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 Mortality status of father 0 0 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 Mortality status of mother 0 0 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 Number of own female children in household 0 0 HOMEFEM indicates the number of female children born living in the household with their mother (the respondent). 0 None 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 17 17 20 20 22 22 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children living elsewhere 0 0 AWAYFEM indicates the number of surviving biological female children not living in the household with their mother (the respondent). 0 None 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 Children surviving 0 0 CHSURV reports the number of children born to a woman who were still living at the time of the census. 0 No children 1 1 child 2 2 children 3 3 4 4 5 5 6 6 7 7 8 8 9 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 Literacy 0 0 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 School attendance 0 0 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 Status in employment (class of worker) [general version] 0 0 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] 0 0 0 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 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White and 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 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 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 Father's location in household 0 0 Constructed Family Interrelationship Variables -- PERSON Spouse's location in household 0 0 Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse 0 0 0 No spouse present 1 Rule 1: strong relationship pairing, couple adjacent 2 Rule 2: strong relationship pairing, couple not adjacent 3 Rule 3: weak relationship pairing, couple adjacent 4 Rule 4: weak relationship pairing, couple not adjacent 5 Rule 5: weak consensual union pairings 6 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Mother's location in household 0 0 Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked 0 0 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Rule for linking parent 0 0 0 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 Relationship to household head [general version] 0 0 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] 0 0 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 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 of 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 Marital status [general version] 0 0 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] 0 0 0 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 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 360 Married, spouse absent 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 Number of female children surviving 0 0 CHSURVF indicates the number of female children ever born to a woman who were still living at the time of the census. 0 No children 1 1 child 2 2 children 3 3 4 4 5 5 6 6 7 7 8 8 9 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 0 0 CHSURVM indicates the number of male children ever born to a woman who were still living at the time of the census. 0 No children 1 1 child 2 2 children 3 3 4 4 5 5 6 6 7 7 8 8 9 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 Children ever born 0 0 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. 0 No children 1 1 child 2 2 children 3 3 4 4 5 5 6 6 7 7 8 8 9 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 Activity status (employment status) [general version] 0 0 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] 0 0 0 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 310 Housework 320 Unable to work/disabled 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 Disability affecting upper extremities 0 0 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 Disability affecting lower extremities 0 0 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 Mute or speech impaired 0 0 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 Deaf or hearing-impaired 0 0 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 Blind or vision-impaired 0 0 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 Employment disability 0 0 DISEMP indicates if the respondent was economically inactive because of disabilities. 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Industry, general recode 0 0 0 NIU (not in universe) 10 Agriculture, fishing, and forestry 20 Mining 30 Manufacturing 40 Electricity, gas and water 50 Construction 60 Wholesale and retail trade 70 Hotels and restaurants 80 Transportation and communications 90 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Real estate and business services 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 Occupation, unrecoded 0 0 Work Variables -- PERSON State of residence 1 year ago, Sudan 0 0 11 Northern 12 Nahr El Nil 21 Red Sea 22 Kassala 23 Al Gedarif 31 Khartoum 41 Al Gezira 42 While Nile 43 Sinnar 44 Blue Nile 51 North Kordofan 52 South Kordofan 61 North Darfur 62 West Darfur 63 South Darfur 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 98 Abroad Migration Variables -- PERSON Mental disability 0 0 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 Age at first marriage or union 0 0 AGEMARR indicates the person's age at first marriage or consensual union. 0 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 Educational attainment, Sudan 0 0 EDUCSD indicates the person's educational attainment in terms of the level of schooling and grade completed. 0 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 99 Unknown Education Variables -- PERSON Industry, unrecoded 0 0 "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. Work Variables -- PERSON Occupation, ISCO general 0 0 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. 1 Legislators, senior officials and managers 2 Professionals 3 Technicians and associate professionals 4 Clerks 5 Service workers and shop and market sales 6 Skilled agricultural and fishery workers 7 Crafts and related trades workers 8 Plant and machine operators and assemblers 9 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 Person number (within household) Person number (within household) All persons 0 0 This variable indicates the person number (within household). 0 Household record 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 All persons 0 0 This variable indicates the person's relationship to the head of household. 1 Head 2 Spouse 3 Daughter/son 4 Spouse of son/daughter 5 Grandchild 6 Niece/nephew 7 Parent/parent in-law 8 Sibling/sibling-in-law 9 Other relative 10 Non-relative Demographic Variables -- PERSON Sex All persons 0 0 This variable indicates the person's sex. 1 Male 2 Female Demographic Variables -- PERSON Age All persons 0 0 This variable indicates the person's age in completed years. 0 Less than 1 years old 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 and above Demographic Variables -- PERSON Nationality All persons 0 0 This variable indicates the person's nationality. 1 Sudanese 2 Egyptian 3 Libyan 4 Eritrean 5 Ethiopian 6 Ugandan 7 Kenyan 8 Congolese - DRC 9 Chadian 10 Central African 11 Nigerian 12 Malian 13 Chinese 14 Indian 15 Other countries Nativity and Birthplace Variables -- PERSON Regional group All persons 0 0 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 All persons 0 0 This variable indicates the person's region of origin. 1 Northern 2 Eastern 3 Khartoum 4 Central 5 Kordofan 6 Darfur 7 Upper Nile 8 Bahr El Ghazal 9 Equatoria 10 Not Sudan 11 Unknown Nativity and Birthplace Variables -- PERSON State of birth All persons 0 0 This variable indicates the person's state of birth. 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 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 99 Abroad Nativity and Birthplace Variables -- PERSON State of usual residence All persons 0 0 This variable indicates the person's state of usual residence. 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 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 99 Abroad Migration Variables -- PERSON Duration of residence All persons 0 0 This variable indicates the number of years the person has lived continuously in the state of usual residence. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 and beyond 99 Unknown Migration Variables -- PERSON Previous residence 1 year ago All persons 0 0 This variable indicates the person's previous state of residence last year. 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 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 98 Abroad Migration Variables -- PERSON Mother's survival All persons 0 0 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 All persons 0 0 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) All persons 0 0 This variable indicates whether the person has limited use of leg(s). 1 Yes 2 No Disability Variables -- PERSON Loss of leg(s) All persons 0 0 This variable indicates whether the person has loss of leg(s). 1 Yes 2 No Disability Variables -- PERSON Limited use of arm(s) All persons 0 0 This variable indicates whether the person has limited use of arm(s). 1 Yes 2 No Disability Variables -- PERSON Loss of arm(s) All persons 0 0 This variable indicates whether the person has loss of arm(s). 1 Yes 2 No Disability Variables -- PERSON Difficulty in hearing All persons 0 0 This variable indicates whether the person has difficulty in hearing. 1 Yes 2 No Disability Variables -- PERSON Deaf All persons 0 0 This variable indicates whether the person is deaf. 1 Yes 2 No Disability Variables -- PERSON Difficulty seeing All persons 0 0 This variable indicates whether the person has difficulty in seeing. 1 Yes 2 No Disability Variables -- PERSON Blind All persons 0 0 This variable indicates whether the person is blind. 1 Yes 2 No Disability Variables -- PERSON Difficulty in speaking All persons 0 0 This variable indicates whether the person has difficulty in speaking. 1 Yes 2 No Disability Variables -- PERSON Mute All persons 0 0 This variable indicates whether the person is mute. 1 Yes 2 No Disability Variables -- PERSON Mental difficulty All persons 0 0 This variable indicates whether the person has mental difficulty. 1 Yes 2 No Disability Variables -- PERSON Have disability All persons 0 0 This variable indicates whether the person has no disability(ies). 1 No disability 2 Have disability Disability Variables -- PERSON Literacy Persons age 6+ 0 0 This variable indicates whether the person is literate. 1 Yes 2 No 9 NIU (not in universe) Education Variables -- PERSON School attendence Persons age 6+ 0 0 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 Persons age 6+ who are currently attending school 0 0 This variable indicates the school level the person is attending. 1 P1 2 P2 3 P3 4 P4 5 P5 6 P6 7 P7 8 P8 9 S1 10 S2 11 S3 12 S4 13 S5 14 S6 15 Post secondary/diploma program 16 College 17 University 18 Masters program 19 PhD program 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Education attainment Persons who ever attended school 0 0 This variable indicates the person's highest level of educational attainment. 1 No qualification 2 Incomplete primary 3 Primary 4 4 Primary 6 5 Primary 8 6 Junior 3 7 Junior 4 8 Secondary 3 9 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 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Activity status Persons age 10+ 0 0 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 Persons age 10+ who did not work and were not seeking work last week 0 0 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 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation Persons age 10+ who worked, or were temporary away from job, or were seeking work not for the first time 0 0 This variable indicates the person's occupation. 1 Commissioned armed forces officers 2 Non-commissioned armed forces officers 3 Armed forces occupations, other ranks 11 Chief executives senior officials and legislators 12 Administrative and commercial managers 13 Production and specialized services managers 14 Hospitality, retail and other services managers 21 Science and engineering professionals 22 Health professionals 23 Teaching professionals 24 Business and administration professionals 25 Information and communications technology (ICT) 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 54 Protective services workers 61 Market-oriented skilled agricultural workers 62 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 81 Stationary plant and machine operators 83 Drivers and mobile plant operators 90 Other occupation, response suppressed 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 98 Unknown 99 NIU (not in universe) Work: Occupation Variables -- PERSON Industry Persons age 10+ who worked, or were temporary away from job, or were seeking work not for the first time 0 0 This variable indicates the industry the person worked in. 1 Crop and animal production, hunting and related service activities 2 Forestry and logging 3 Fishing and aquaculture 6 Extraction of crude petroleum and natural gas 7 Mining of metal ores 8 Other mining and quarrying 10 Manufacture of food products 11 Manufacture of beverages 12 Manufacture of tobacco products 13 Manufacture of textiles 14 Manufacture of wearing apparel 15 Manufacture of leather and related products 16 Manufacture of wood and of products of wood and cork, except furniture 18 Printing and reproduction of recorded media 19 Manufacture of coke and refined petroleum products 20 Manufacture of chemicals and chemical products 21 Manufacture of pharmaceuticals, medicinal chemical and botanical products 22 Manufacture of rubber and plastics products 23 Manufacture of other non-metallic mineral products 24 Manufacture of basic metals 25 Manufacture of fabricated metal products, except machinery and equipment 29 Manufacture of motor vehicles, trailers and semi-trailers 31 Manufacture of furniture 32 Other manufacturing 33 Repair and installation of machinery and equipment 35 Electricity, gas, steam and air conditioning supply 36 Water collection, treatment and supply 37 Sewerage 38 Waste collection, treatment and disposal activities 41 Construction of buildings 42 Civil engineering 43 Specialized construction activities 45 Wholesale and retail trade and repair of motor vehicles and motorcycles 46 Wholesale trade, except of motor vehicles and motorcycles 47 Retail trade, except of motor vehicles and motorcycles 49 Land transport and transport via pipelines 50 Water transport 51 Air transport 52 Warehousing and support activities for transportation 53 Postal and courier activities 55 Accommodation 56 Food and beverage service activities 58 Publishing activities 59 Motion picture, video and television programme production, sound recording and music publishing activities 60 Programming and broadcasting activities 61 Telecommunications 62 Computer programming, consultancy and related activities 64 Financial service activities, except insurance and pension funding 65 Insurance, reinsurance and pension funding, except compulsory social security 66 Activities auxiliary to financial service and insurance activities 68 Real estate activities 69 Legal and accounting activities 71 Architectural and engineering activities 72 Scientific research and development 74 Other professional, scientific and technical activities 75 Veterinary activities 77 Rental and leasing activities 79 Travel agency, tour operator, reservation service and related activities 80 Security and investigation activities 81 Services to buildings and landscape activities 82 Office administrative, office support and other business support activities 84 Public administration and defence 85 Education 86 Human health activities 90 Creative, arts and entertainment activities 91 Libraries, archives, museums and other cultural activities 92 Gambling and betting activities 93 Sports activities and amusement and recreation activities 94 Activities of membership organizations 95 Repair of computers and personal and household goods 96 Other personal service activities 97 Activities of households as employers of domestic personnel 98 Undifferentiated goods- and services-producing activities of private households for own use 99 Activities of extraterritorial organizations and bodies 100 Other industry, response suppressed 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Class of worker Persons age 10+ who worked, or were temporary away from job, or were seeking work not for the first time 0 0 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 Persons age 12+ 0 0 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 Ever-married persons age 12+ 0 0 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 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 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Males ever born Ever-married females age 12 to 54 0 0 This variable indicates the number of male children ever born to the person. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Females ever born Ever-married females age 12 to 54 0 0 This variable indicates the number of female children ever born to the person. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children at home Ever-married females age 12 to 54 0 0 This variable indicates the number of male children ever born to the person that are living with the person in the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children at home Ever-married females age 12 to 54 0 0 This variable indicates the number of female children ever born to the person that are living with the person in the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children living elsewhere Ever-married females age 12 to 54 0 0 This variable indicates the number of male children ever born to the person that are living elsewhere. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children living elsewhere Ever-married females age 12 to 54 0 0 This variable indicates the number of female children ever born to the person that are living elsewhere. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children deceased Ever-married females age 12 to 54 0 0 This variable indicates the number of male children ever born to the person that are deceased. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children deceased Ever-married females age 12 to 54 0 0 This variable indicates the number of female children ever born to the person that are deceased. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Any births last 12 months Ever-married females age 12 to 54 0 0 This variable indicates whether the person had any births in the last 12 months. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Males born last 12 months Ever-married females age 12 to 54 0 0 This variable indicates the number of male children born in the last 12 months. 0 0 1 1 2 2 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Females born last 12 months Ever-married females age 12 to 54 0 0 This variable indicates the number of female children born in the last 12 months. 0 0 1 1 2 2 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Males born last 12 months surviving Ever-married females age 12 to 54 0 0 This variable indicates the number of male children born in the last 12 months who are still alive. 0 0 1 1 2 2 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Females born last 12 months surviving Ever-married females age 12 to 54 0 0 This variable indicates the number of female children born in the last 12 months who are still alive. 0 0 1 1 2 2 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Flag: Age Flag: Age All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Nationality Flag: Nationality All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Regional group Flag: Regional group All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Region of origin Flag: Region of origin All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: State of birth Flag: State of birth All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: State of usual residence Flag: State of usual residence All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Duration of residence Flag: Duration of residence All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: State of previous residence Flag: State of previous residence All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Mother's survival Flag: Mother's survival All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Father's survival Flag: Father's survival All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Loss of leg(s) Flag: Loss of leg(s) All persons 0 0 Flag: Loss of leg(s). 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Loss of arm(s) Flag: Loss of arm(s) All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Deaf Flag: Deaf All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Blind Flag: Blind All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Mute Flag: Mute All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Literacy Flag: Literacy All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: School attendence Flag: School attendence All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: School level currently attending Flag: School level currently attending All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Education attainment Flag: Education attainment All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Activity status Flag: Activity status All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Reason for economic inactivity Flag: Reason for economic inactivity All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Occupation Flag: Occupation All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Economic sector Flag: Economic sector All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Employment status Flag: Employment status All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Marital status Flag: Marital status All persons 0 0 Flag: Marital status. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Age at first marriage Flag: Age at first marriage All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Males ever born Flag: Males ever born All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Females ever born Flag: Females ever born All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Male children at home Flag: Male children at home All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Female children at home Flag: Female children at home All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Male children living elsewhere Flag: Male children living elsewhere All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Female children living elsewhere Flag: Female children living elsewhere All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Male children deceased Flag: Male children deceased All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Female children deceased Flag: Female children deceased All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Any births last 12 months Flag: Any births last 12 months All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Males born last 12 months Flag: Males born last 12 months All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Females born last 12 months Flag: Females born last 12 months All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Males born last 12 months (alive) Flag: Males born last 12 months (alive) All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Flag: Females born last 12 months (alive) Flag: Females born last 12 months (alive) All persons 0 0 This variable means that the indicated variable was edited during processing. 0 No imputation 1 Logical from blank 2 Logical from valid non-blank 3 Logical from invalid non-blank 4 Imputation from blank 5 Imputation from valid non-blank 6 Imputation from invalid non-blank Person Imputation Flags Variables -- PERSON Person weight Person weight All persons 0 0 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 Ever-married females age 12 to 54 0 0 This variable indicates the number of own children living in the household. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children living elsewhere Ever-married females age 12 to 54 0 0 This variable indicates the number of own children living elsewhere. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children who have died Ever-married females age 12 to 54 0 0 This variable indicates the number of children who have died. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children ever born Ever-married females age 12 to 54 0 0 This variable indicates the number of children ever born to the person. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving Ever-married females age 12 to 54 0 0 This variable indicates the number of own children who are still surviving. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children surviving Ever-married females age 12 to 54 0 0 This variable indicates the number of male children ever born to the person who are still alive. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children surviving Ever-married females age 12 to 54 0 0 This variable indicates the number of female children ever born to the person who are still alive. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children born last year Ever-married females age 12 to 54 0 0 This variable indicates the number of children born to the person last year. 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 Ever-married females age 12 to 54 0 0 This variable indicates the number of children born to the person last year who are still surviving. 0 0 1 1 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Parents mortality status All persons 0 0 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 Polygamous union 0 0 POLYGAM indicates whether the respondent was in a polygamous union and, in some samples, the number of wives or the rank order of the wife. 0 NIU (not in universe) 1 No, in monogamous union 2 Yes, in polygamous union 3 Man in polygamous union 4 Polygamous man, 2 wives 5 Polygamous man, 3 or more wives 6 Woman in polygamous union 7 Polygamous marriage, 2 wives 8 Polygamous marriage, 3 or more wives 9 First wife 10 Second wife 11 Third or higher order wife 99 Unknown/missing Demographic Variables -- PERSON Person weight 0 0 PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Number of own male children living elsewhere 0 0 AWAYMALE indicates the number of surviving biological male children not living in the household with their mother (the respondent). 0 None 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 Disability status 0 0 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 Years residing in current locality 0 0 MIGYRS1 indicates how many years the person has resided in their current locality of residence. 0 Less than 1 year 1 1 year (or 1 year or less) 2 2 years 3 3 years 4 4 years 5 5 years 6 6 years 7 7 years 8 8 years 9 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years 19 19 years 20 20 years 21 21 years 22 22 years 23 23 years 24 24 years 25 25 years 26 26 years 27 27 years 28 28 years 29 29 years 30 30 years 31 31 years 32 32 years 33 33 years 34 34 years 35 35 years 36 36 years 37 37 years 38 38 years 39 39 years 40 40 years 41 41 years 42 42 years 43 43 years 44 44 years 45 45 years 46 46 years 47 47 years 48 48 years 49 49 years 50 50 years 51 51 years 52 52 years 53 53 years 54 54 years 55 55 years 56 56 years 57 57 years 58 58 years 59 59 years 60 60 years 61 61 years 62 62 years 63 63 years 64 64 years 65 65 years 66 66 years 67 67 years 68 68 years 69 69 years 70 70 years 71 71 years 72 72 years 73 73 years 74 74 years 75 75 years 76 76 years 77 77 years 78 78 years 79 79 years 80 80 years 81 81 years 82 82 years 83 83 years 84 84 years 85 85 years 86 86 years 87 87 years 88 88 years 89 89 years 90 90 years 91 91 years 92 92 years 93 93 years 94 94 years 95 95+ 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) Migration Variables -- PERSON Number of own male children in household 0 0 HOMEMALE indicates the number of male children born living in the household with their mother (the respondent). 0 None 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 24 24 25 25 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Migration status, 1 year 0 0 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. 0 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 Variables -- PERSON Educational attainment, international recode [general version] 0 0 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] 0 0 0 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 Number of births last year 0 0 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 0 0 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 own children in household 0 0 HOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 0 0 AWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) at the time of the census. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 0 0 NATIVITY indicates whether the person was native- or foreign-born. 0 NIU (not universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Number of female children dead 0 0 0 None 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 0 0 0 None 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 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 Year [person version] 0 0 [This file is just a placeholder. See the household version of the variable.] This is a 4-digit numeric variable with 0 implied decimal places Technical Person Variables -- PERSON IPUMS sample identifier [person version] 0 0 [This file is just a placeholder. See the household version of the variable.] This is a 9-digit numeric variable with 0 implied decimal places Technical Person Variables -- PERSON Household serial number [person version] 0 0 [This file is just a placeholder. See the household version of the variable.] This is a 10-digit numeric variable with 0 implied decimal places Technical Person Variables -- PERSON Country [person version] 0 0 [This file is just a placeholder. See the household version of the variable.] This is a 3-digit numeric variable with 0 implied decimal places Technical Person Variables -- PERSON Record type [person version] 0 0 [This file is just a placeholder. See the household version of the variable.] This is a 1-digit numeric variable with 0 implied decimal places Technical Person Variables -- PERSON