National Census 2000 DDI_PNG_2000_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

 IPUMS April 1, 2025 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS Version 7.6 October 2025 : NEW FEATURES. --NO "new features" listed in Revision History NEW SAMPLES. --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS. SUPPLEMENTAL DATA. --No "supplemental data" listed in revision history NEW VARIABLES. --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml). --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf). EDITED SAMPLES. --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL. EDITED VARIABLES. --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren. --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)". --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007. --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999). --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample. --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born. --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status. --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007. --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all". --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence. National Census - IPUMS Subset 2000 PHC pg2000a (IPUMS Harmonized Subset) PNG_2000_PHC_v01_M_v7.6_A_IPUMS National Statistics Office IPUMS (c) Copyright 2000, National Statistics Office and Minnesota Population Center National Statistics Office Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Geography: O-Z Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Ethnicity and Language Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Demographic Variables -- PERSON Ethnicity and Language Variables -- PERSON Fertility and Mortality Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON July 9, 2000 Papua New Guinea District Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: Yes - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: No - Households: A person or group of persons living and eating together and sharing the arrangements for cooking and the other necessities of living. The household members may be related or unrelated. - Group quarters: Non-private dwellings are special dwellings such as barracks, educational institutions, hostels, hotels, guesthouses, hospital wards, police cells and prisons. They include persons without fixed addresses such as street people. All persons present in the country on census day Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Papua New Guinea 2000 MICRODATA SOURCE: National Statistics Office SAMPLE SIZE (person records): 520609. SAMPLE DESIGN: Systematic sample of every tenth dwelling drawn by IPUMS from 100% microdata Face-to-face [f2f] A single census form for dwellings and persons de facto, CENSUS DAY: July 9, 2000 Self-weighting (expansion factor=10) IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. National Statistics Office Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: Papua New Guinea, National Statistics Office. National Census The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.6 Extract for pg2000a, 2025 PNG2000_PHC-H-H.dat Household records 103,594 ascii Minnesota Population Center Version 7.5, IPUMS sample PNG2000_PHC-P-H.dat Person records 520609 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Group quarters type GQTYPE identifies the type of group quarters -- collective dwellings -- which are broadly classified into institutional and non-institutional types. Institutions are a place of residence where people are subject to a common authority or bound by a common objective or personal interest. The definition encompasses correctional facilities, health institutions, retirement homes, orphanages, shelters (social welfare institutions), military or police establishments, boarding schools, and religious group dwellings. Non-institutional group quarters comprise refugee and workers' camps (temporary accommodation), hotels, pensions, and all types of boarding or lodging houses. The "floating population" is included as a category within the non-institutional group quarters, when identified by the corresponding sample. This group refers to outdoor sleepers, homeless persons, travelers, and persons in ships, boats, or other mobile dwellings. A more general classification of households between private and group quarters is available in GQ. 100 Institutional 110 Prisons, reformatories, or correctional institutions 120 Hospital, nursing home, hospice, or instutions for persons with disabilities 121 Institutions for persons with disabilities 122 Sanatorium or mental institutions 130 Homes for the elderly or orphanage 131 Retirement home 132 Orphanage, children's home 140 Shelter for homeless, youth, or others 150 Military or police institution 160 Boarding school or student housing 170 Religious institution, monastery, seminary, or convent 199 Other institutional n.e.c. 200 Non-institutional 210 Camps (refugees, workers, or others) 220 Hotel, pension, lodging, or boarding house 230 Floating population 299 Other non-institutional n.e.c. 300 Other group quarters 399 1-person unit created by splitting large household 998 Unknown 999 NIU (not in universe) Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Urban-rural status URBAN indicates whether the household was located in a place designated as urban or as rural. 1 Rural 2 Urban 9 Unknown Geography: Global Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. Geography: Global Variables -- HOUSEHOLD 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Papua New Guinea, Province 1980 - 2000 [Level 1; consistent boundaries, GIS] GEO1_PG identifies the household's province within Papua New Guinea in all sample years. Provinces are the first level administrative units of the country. GEO1_PG is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO1_PG can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Papua New Guinea can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 598001 Western 598002 Gulf 598003 Central 598004 National Capital District 598005 Milne Bay 598006 Northern 598007 Southern Highlands, Hela 598008 Enga 598009 Western Highlands, Jiwaka 598010 Chimbu 598011 Eastern Highlands 598012 Morobe 598013 Madang 598014 East Sepik 598015 West Sepik 598016 Manus 598017 New Ireland 598018 East New Britain 598019 West New Britain 598020 Autonomous Region of Bougainville Geography: O-Z Variables -- HOUSEHOLD Papua New Guinea, Province 2000 [Level 1, GIS] GEO1_PG2000 identifies the household's province within Papua New Guinea in 2000. Provinces are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_PG2000 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Papua New Guinea can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001 Western 002 Gulf 003 Central 004 National Capital District 005 Milne Bay 006 Northern 007 Southern Highlands 008 Enga 009 Western Highlands 010 Chimbu 011 Eastern Highlands 012 Morobe 013 Madang 014 East Sepik 015 West Sepik 016 Manus 017 New Ireland 018 East New Britain 019 West New Britain 020 North Solomons Geography: O-Z Variables -- HOUSEHOLD Papua New Guinea, District 1980 - 2000 [Level 2; consistent boundaries, GIS] GEO2_PG identifies the household's district within Papua New Guinea in all sample years. Districts are the second level administrative units of the country, after provinces. GEO2_PG is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO2_PG can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Papua New Guinea can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 598001001 Middle Fly 598001002 North Fly 598001003 South Fly 598002001 Kerema 598002002 Kikori 598003001 Abau 598003002 Goilala 598003003 Kairuku-Hiri 598003004 Rigo 598004001 National Capital District 598005001 Alotau, Esa'ala, Kiriwina-Goodenough, Samarai-Murua 598006001 Ijivitari, Sohe 598007001 Ialibu/Pangia 598007002 Imbongu, Mendi 598007003 Kagua/Erave 598007004 Komo/Magarima, Koroba/Kopiago, Nipa/Kutubu, Tari 598008001 Kandep 598008002 Kompiam/Ambum, Wabag 598008003 Lagaip/Porgera 598008004 Wapenamanda 598009001 Dei, Jimi, Mul Baiyer 598009002 Hagen Central, Tambul 598009003 Anglimp/South Waghi, North Waghi 598010001 Chuave 598010002 Giumine 598010003 Karimui/Nomane 598010004 Kerowagi 598010005 Kundiawa 598010006 Sinasina/Yongomugl 598011001 Daulo, Goroka, Unggai-Bena 598011002 Henganofi 598011003 Lufa 598011004 Kainantu, Obura/Wonenara 598011005 Okapa 598012001 Bulolo 598012002 Finschaffen, Kabwum 598012003 Huon, Lae (Lae/Huon/Nawae), Nawae 598012004 Markham 598012005 Menyamya 598012006 Tewae-Siassi 598013001 Bogia 598013002 Madang, Sumkar 598013003 Middle Ramu, Usino/Bundi 598013004 Rai Coast 598014001 Ambunti/Drekikir, Maprik, Wosera/Gawi 598014002 Angoram 598014003 Wewak, Yangoru/Sausia 598015001 Aitape/Lumi 598015002 Nuku 598015003 Telefomin 598015004 Vanimo/Green River 598016001 Manus 598017001 Kavieng, Namatanai 598018001 Gazelle, Rabaul 598018002 Kokopo, Pomio 598019001 Kandrian/Glouster, Talasea 598020001 Buka 598020002 Buin 598020003 Kieta Geography: O-Z Variables -- HOUSEHOLD Papua New Guinea, District 2000 [Level 2, GIS] GEO2_PG2000 identifies the household's district within Papua New Guinea in 2000. Districts are the second level administrative units of the country, after provinces. A GIS map (in shapefile format), corresponding to GEO2_PG2000 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Papua New Guinea can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here. 001001 Middle Fly 001002 North Fly 001003 South Fly 002001 Kerema 002002 Kikori 003001 Abau 003002 Goilala 003003 Kairuku-Hiri 003004 Rigo 004001 National Capital District 005001 Alotau 005002 Esa'ala 005003 Kiriwina-Goodenough 005004 Samarai-Murua 006001 Ijivitari 006002 Sohe 007001 Ialibu/Pangia 007002 Imbongu 007003 Kagua/Erave 007004 Komo/Magarima 007005 Koroba/Kopiago 007006 Mendi 007007 Nipa/Kutubu 007008 Tari 008001 Kandep 008002 Kompiam/Ambum 008003 Lagaip/Porgera 008004 Wabag 008005 Wapenamanda 009001 Anglimp/South Waghi 009002 Dei 009003 Hagen Central 009004 Jimi 009005 Mul Baiyer 009006 North Waghi 009007 Tambul 010001 Chuave 010002 Giumine 010003 Karimui/Nomane 010004 Kerowagi 010005 Kundiawa 010006 Sinasina/Yongomugl 011001 Daulo 011002 Goroka 011003 Henganofi 011004 Kainantu 011005 Lufa 011006 Obura/Wonenara 011007 Okapa 011008 Unggai-Bena 012001 Bulolo 012002 Finschaffen 012003 Huon 012004 Kabwum 012005 Lae (Lae/Huon/Nawae) 012006 Markham 012007 Menyamya 012008 Nawae 012009 Tewae-Siassi 013001 Bogia 013002 Madang 013003 Middle Ramu 013004 Rai Coast 013005 Sumkar 013006 Usino/Bundi 014001 Ambunti/Drekikir 014002 Angoram 014003 Maprik 014004 Wewak 014005 Wosera/Gawi 014006 Yangoru/Sausia 015001 Aitape/Lumi 015002 Nuku 015003 Telefomin 015004 Vanimo/Green River 016001 Manus 017001 Kavieng 017002 Namatanai 018001 Gazelle 018002 Kokopo 018003 Pomio 018004 Rabaul 019001 Kandrian/Glouster 019002 Talasea 020001 Buka 020002 Buin 020003 Kieta Geography: O-Z Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Papua New Guinea 2000: All records This variable indicates dwelling number. This is a 7-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Papua New Guinea 2000: All records This variable indicates number of persons in household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Dwelling type <span class="h1">Household indicative information</span></p> <p>Province _ _ <br />District _ _ <br />Local level government _ _ <br />Urban area/rural ward _ _ <br />Census unit _ _ _ _ <br />Household No. _ _ _ <br />House type _ _ <br />Response code _</p> <p>[Collection Authority and Privacy notices in the original document are not presented here] <span class="h3">House Types</span> <br />The box for "House type" is at the top of the census form with the Indicative Information.</p> <p>For each household you must decide on the correct code from the list below and the pictures in Appendix 6. Then check that this matches the code on the listing information in your workload folder. Update the listing form if necessary.</p> <p><span class="em">Who to ask: </span>Use your own judgment to decide the house type. Do not ask respondents to answer this question.</p> <p><span class="em">Get this information for: </span>All households in your listing as part of your workload.</p> <p><span class="em">How to record: </span> <br />Record the correct code from the list of 10 house types below, which are shown as pictures in Appendix 3. Enter the numbers as two digits. For example as 01 or 02, NOT 1 or 2.</p> <p><span class="em">Brief description of house types:</span><div class="i1">01. High cost: Large well-built usually fibro, timber, brick or weatherboard construction metals roofs.<br />02. Low cost: Small well-built house usually fibro or wood construction.<br />03. Flats: Flats are units of more than two living quarters in the one block.<br />04. Duplex: This covers two houses joined together by a common wall. They can be different sizes. A house with a flat underneath or attached is a duplex.<br />05. Domestic or workers' quarters: Domestic quarters are mostly in high covenant areas but are also common behind shops where they are often workers' quarters. The only workers' quarters to be included here are small married quarters behind shops or factories which are really very much the same as the domestic quarters behind high covenant houses. They are made of fibro or wood.<br />06. Dormitories: Large building with cubicles, usually found in the grounds of schools and colleges.<br />07. Makeshift: This type of house can be made of pieces of wood, roofing iron, tins and even cardboard, generally scrap materials used.<br />08. Traditional: These are usually in traditional villages. The materials used are predominantly traditional (grass, bamboo, pitpit, wood)<br />09. Self-help house: (High cost) This is a very well-built house of commercial materials, which is very similar to those in urban areas. It has well-built steps, roof, and stumps.<br />10. Self-help house: (Low cost) This type of house is not as well-built as the high cost one but it has similarities. It should have food supports and reasonably well-built walls and roof.</div> Papua New Guinea 2000: All households This variable indicate whether the dwelling type was private or non-private dwelling. 01 High cost house 02 Low cost house 03 Flats 04 Duplex 05 Domestic quarter 06 Dormitories 07 Makeshift 08 Traditional 09 Self help, high cost 10 Self help, low cost 11 Non-private dwelling: hotels, motels, guest houses, and shipping 12 Non-private dwelling: institutions, university dorms, barracks 13 Non-private dwelling: boarding high schools 14 Non-private dwelling: prison inmates, mental and hospital patients 15 Non-private dwelling: mobile persons with no fixed address Group Quarters Variables -- HOUSEHOLD Response <span class="h1">Household indicative information</span></p> <p>Province _ _ <br />District _ _ <br />Local level government _ _ <br />Urban area/rural ward _ _ <br />Census unit _ _ _ _ <br />Household No. _ _ _ <br />House type _ _ <br />Response code _</p> <p>[Collection Authority and Privacy notices in the original document are not presented here] <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: All households This variables assess whether the household was enumerated, vacant, demolished, refusal or non-contacted during census period. 1 Enumerated 2 Vacant 3 Demolished 4 Non-contact 5 Refusal 6 Others Technical Household Variables -- HOUSEHOLD Growing cocoa <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>24. Does this household grow/raise any of the following for cash, own use, or none?</p> <div class="i1">1. Cocoa</div><div class="i2">[] 1 Cash<br />[] 2 Own use<br />[] 3 None</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household grows cocoa for cash or for own use. 1 Cash 2 Own use 3 None 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Growing coffee <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>24. Does this household grow/raise any of the following for cash, own use, or none?</p> <div class="i1">2. Coffee</div><div class="i2">[] 1 Cash<br />[] 2 Own use<br />[] 3 None</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household grows coffee for cash or for own use. 1 Cash 2 Own use 3 None 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Growing rubber <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>24. Does this household grow/raise any of the following for cash, own use, or none?</p> <div class="i1">3. Rubber</div><div class="i2">[] 1 Cash<br />[] 2 Own use<br />[] 3 None</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household grows rubber for cash or for own use. 1 Cash 2 Own use 3 None 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Growing palm oil <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>24. Does this household grow/raise any of the following for cash, own use, or none?</p> <div class="i1">4. Palm Oil</div><div class="i2">[] 1 Cash<br />[] 2 Own use<br />[] 3 None</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household grows palm oil for cash or for own use. 1 Cash 2 Own use 3 None 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Growing coconut <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>24. Does this household grow/raise any of the following for cash, own use, or none?</p> <div class="i1">5. Coconut</div><div class="i2">[] 1 Cash<br />[] 2 Own use<br />[] 3 None</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household grows coconut for cash or for own use. 1 Cash 2 Own use 3 None 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Growing bettlenut <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>24. Does this household grow/raise any of the following for cash, own use, or none?</p> <div class="i1">6. Bettlenut</div><div class="i2">[] 1 Cash<br />[] 2 Own use<br />[] 3 None</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household grows bettlenut for cash or for own use. 1 Cash 2 Own use 3 None 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Raising livestock <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>24. Does this household grow/raise any of the following for cash, own use, or none?</p> <div class="i1">7. Livestock</div><div class="i2">[] 1 Cash<br />[] 2 Own use<br />[] 3 None</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household raises livestock for cash or for own use. 1 Cash 2 Own use 3 None 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Raising poultry <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>24. Does this household grow/raise any of the following for cash, own use, or none?</p> <div class="i1">8. Poultry</div><div class="i2">[] 1 Cash<br />[] 2 Own use<br />[] 3 None</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household raises poultry for cash or for own use. 1 Cash 2 Own use 3 None 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Growing food crops <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>24. Does this household grow/raise any of the following for cash, own use, or none?</p> <div class="i1">9. Food crops</div><div class="i2">[] 1 Cash<br />[] 2 Own use<br />[] 3 None</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household raises or grows food crops for cash or for own use. 1 Cash 2 Own use 3 None 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Fishing <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>24. Does this household grow/raise any of the following for cash, own use, or none?</p> <div class="i1">10. Fishing</div><div class="i2">[] 1 Cash<br />[] 2 Own use<br />[] 3 None</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household engage in fishing for cash or for own use. 1 Cash 2 Own use 3 None 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Type of other agricultural activity <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>24. Does this household grow/raise any of the following for cash, own use, or none?</p> <div class="i1">11. Other type</div><div class="i2">[] 1 Cash<br />[] 2 Own use<br />[] 3 None</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Q24. Does this household grow/raise any of the following?</span><div class="i1">1. Cash<br />2. Own use<br />3. None</div><div class="i2">01. Cocoa<br />02. Coffee<br />03. Rubber<br />04. Oil palm<br />05. Coconut<br />06. Betel nut<br />07. Livestock (cattle, pigs, goats, sheep)<br />08. Poultry<br />09. Food crops/Vegetables/Root crops<br />10. Fishing (e.g. fish, crabs, sea shells)<br />Other (Any major crop or livestock) ____</div><span class="em">Who to ask: </span>Ask every head of household</p> <p><span class="em">Get this information for: </span>All households. The activities here must include activities of all listed persons who are not visitors in Question 1 of the census form. Also, the activities took place during a period of one year.</p> <p><span class="em">How to ask: </span>"Does your household grow or raise any of the following?"</p> <div class="i1">-Remember the household is a group of people<br />-The read the list to them (Code 1 to Code 10)</div><p>Each time they say "yes", ask "Is this for cash, or only for your own use?"</p> <p><span class="pg">[P. 116]</span></p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say 'yes, for cash'<br />Write Code 2 if they say 'yes, only for home use'<br />Write Code 3 if they say 'no'.<br />If they grow or raise any crops or animal which are not<br />in the list 1 to 10, record main one under 'other', and use<br />Code 1 'Yes, for cash' or<br />Code 2 'Yes, only for home use'.<br />If there is no other main activity, write Code 3.</div> Papua New Guinea 2000: Enumerated private household who engaged in other agricultural activity [discrepancies: none] This variable indicates whether the household engaged in other type activity for cash or for own use. 11 Fruits 12 Nuts 13 Vanilla 18 Other 99 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Selling food crops <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>25. Does this household get any money from the following?</p> <div class="i1">1. Selling food crops/cooked food at market/roadside</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Question 25: Household income generating activities</span> <br />This question is about the source of income that the whole household is involved in, this may be the business activity of the whole household. Source must be the activity that any one of the household members who were listed in Question 1 excluding visitors.</p> <p><span class="em">Q25. Does this household get any money from the following?</span><div class="i1">1. Yes<br />2. No</div><div class="i2">01. Selling food crops and cooked food at market/roadside<br />02. Selling fish (e.g. crabs, shell fish) at market/roadside<br />03. Selling meat (e.g. pig, magani) at market/roadside<br />04. Selling things they make, e.g. carvings, bilums<br />05. Selling bettelnut/mustard/lime<br />06. Running a PMV<br />07. Hiring boats<br />09. Running a trade store<br />Other (Any major income generating activity) _____</div><span class="em">Who to ask: </span>Ask every head of household.</p> <p><span class="em">Get this information for</span>: All households.</p> <p><span class="em">How to ask: </span>"Does this household get any money from the following?" <br />Then read the list to them (Code 1 to Code 8)</p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say "yes"<br />Write Code 2 if they say "no"<br />If they get money from any activities which are not in the list 1 to 8, write one main activity under "other".<br />Write code 1 for if they say there is another activity.<br />Write code 2 if there are no other main activity.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household get money for selling food crops or not. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Selling fish <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>25. Does this household get any money from the following?</p> <div class="i1">2. Selling fish (e.g. crabs, seashells)</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Question 25: Household income generating activities</span> <br />This question is about the source of income that the whole household is involved in, this may be the business activity of the whole household. Source must be the activity that any one of the household members who were listed in Question 1 excluding visitors.</p> <p><span class="em">Q25. Does this household get any money from the following?</span><div class="i1">1. Yes<br />2. No</div><div class="i2">01. Selling food crops and cooked food at market/roadside<br />02. Selling fish (e.g. crabs, shell fish) at market/roadside<br />03. Selling meat (e.g. pig, magani) at market/roadside<br />04. Selling things they make, e.g. carvings, bilums<br />05. Selling bettelnut/mustard/lime<br />06. Running a PMV<br />07. Hiring boats<br />09. Running a trade store<br />Other (Any major income generating activity) _____</div><span class="em">Who to ask: </span>Ask every head of household.</p> <p><span class="em">Get this information for</span>: All households.</p> <p><span class="em">How to ask: </span>"Does this household get any money from the following?" <br />Then read the list to them (Code 1 to Code 8)</p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say "yes"<br />Write Code 2 if they say "no"<br />If they get money from any activities which are not in the list 1 to 8, write one main activity under "other".<br />Write code 1 for if they say there is another activity.<br />Write code 2 if there are no other main activity.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household get money from selling fish. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Selling meat <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>25. Does this household get any money from the following?</p> <div class="i1">3. Selling meat (e.g. pig, magani) at market/roadside</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Question 25: Household income generating activities</span> <br />This question is about the source of income that the whole household is involved in, this may be the business activity of the whole household. Source must be the activity that any one of the household members who were listed in Question 1 excluding visitors.</p> <p><span class="em">Q25. Does this household get any money from the following?</span><div class="i1">1. Yes<br />2. No</div><div class="i2">01. Selling food crops and cooked food at market/roadside<br />02. Selling fish (e.g. crabs, shell fish) at market/roadside<br />03. Selling meat (e.g. pig, magani) at market/roadside<br />04. Selling things they make, e.g. carvings, bilums<br />05. Selling bettelnut/mustard/lime<br />06. Running a PMV<br />07. Hiring boats<br />09. Running a trade store<br />Other (Any major income generating activity) _____</div><span class="em">Who to ask: </span>Ask every head of household.</p> <p><span class="em">Get this information for</span>: All households.</p> <p><span class="em">How to ask: </span>"Does this household get any money from the following?" <br />Then read the list to them (Code 1 to Code 8)</p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say "yes"<br />Write Code 2 if they say "no"<br />If they get money from any activities which are not in the list 1 to 8, write one main activity under "other".<br />Write code 1 for if they say there is another activity.<br />Write code 2 if there are no other main activity.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicate whether the household get money from selling meat. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Selling artifacts <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>25. Does this household get any money from the following?</p> <div class="i1">4. Selling things they make (e.g. carvings, bilums, mats)</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Question 25: Household income generating activities</span> <br />This question is about the source of income that the whole household is involved in, this may be the business activity of the whole household. Source must be the activity that any one of the household members who were listed in Question 1 excluding visitors.</p> <p><span class="em">Q25. Does this household get any money from the following?</span><div class="i1">1. Yes<br />2. No</div><div class="i2">01. Selling food crops and cooked food at market/roadside<br />02. Selling fish (e.g. crabs, shell fish) at market/roadside<br />03. Selling meat (e.g. pig, magani) at market/roadside<br />04. Selling things they make, e.g. carvings, bilums<br />05. Selling bettelnut/mustard/lime<br />06. Running a PMV<br />07. Hiring boats<br />09. Running a trade store<br />Other (Any major income generating activity) _____</div><span class="em">Who to ask: </span>Ask every head of household.</p> <p><span class="em">Get this information for</span>: All households.</p> <p><span class="em">How to ask: </span>"Does this household get any money from the following?" <br />Then read the list to them (Code 1 to Code 8)</p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say "yes"<br />Write Code 2 if they say "no"<br />If they get money from any activities which are not in the list 1 to 8, write one main activity under "other".<br />Write code 1 for if they say there is another activity.<br />Write code 2 if there are no other main activity.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household get money from selling artifacts. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Selling betel nut <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>25. Does this household get any money from the following?</p> <div class="i1">5. Selling bettlenut/mustard</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Question 25: Household income generating activities</span> <br />This question is about the source of income that the whole household is involved in, this may be the business activity of the whole household. Source must be the activity that any one of the household members who were listed in Question 1 excluding visitors.</p> <p><span class="em">Q25. Does this household get any money from the following?</span><div class="i1">1. Yes<br />2. No</div><div class="i2">01. Selling food crops and cooked food at market/roadside<br />02. Selling fish (e.g. crabs, shell fish) at market/roadside<br />03. Selling meat (e.g. pig, magani) at market/roadside<br />04. Selling things they make, e.g. carvings, bilums<br />05. Selling bettelnut/mustard/lime<br />06. Running a PMV<br />07. Hiring boats<br />09. Running a trade store<br />Other (Any major income generating activity) _____</div><span class="em">Who to ask: </span>Ask every head of household.</p> <p><span class="em">Get this information for</span>: All households.</p> <p><span class="em">How to ask: </span>"Does this household get any money from the following?" <br />Then read the list to them (Code 1 to Code 8)</p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say "yes"<br />Write Code 2 if they say "no"<br />If they get money from any activities which are not in the list 1 to 8, write one main activity under "other".<br />Write code 1 for if they say there is another activity.<br />Write code 2 if there are no other main activity.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household get money from selling betel nut. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Running a public motor vehicle <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>25. Does this household get any money from the following?</p> <div class="i1">6. Running a PMV</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Question 25: Household income generating activities</span> <br />This question is about the source of income that the whole household is involved in, this may be the business activity of the whole household. Source must be the activity that any one of the household members who were listed in Question 1 excluding visitors.</p> <p><span class="em">Q25. Does this household get any money from the following?</span><div class="i1">1. Yes<br />2. No</div><div class="i2">01. Selling food crops and cooked food at market/roadside<br />02. Selling fish (e.g. crabs, shell fish) at market/roadside<br />03. Selling meat (e.g. pig, magani) at market/roadside<br />04. Selling things they make, e.g. carvings, bilums<br />05. Selling bettelnut/mustard/lime<br />06. Running a PMV<br />07. Hiring boats<br />09. Running a trade store<br />Other (Any major income generating activity) _____</div><span class="em">Who to ask: </span>Ask every head of household.</p> <p><span class="em">Get this information for</span>: All households.</p> <p><span class="em">How to ask: </span>"Does this household get any money from the following?" <br />Then read the list to them (Code 1 to Code 8)</p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say "yes"<br />Write Code 2 if they say "no"<br />If they get money from any activities which are not in the list 1 to 8, write one main activity under "other".<br />Write code 1 for if they say there is another activity.<br />Write code 2 if there are no other main activity.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household get money from running a public motor vehicle. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Hiring boats <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>25. Does this household get any money from the following?</p> <div class="i1">7. Hiring boats</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Question 25: Household income generating activities</span> <br />This question is about the source of income that the whole household is involved in, this may be the business activity of the whole household. Source must be the activity that any one of the household members who were listed in Question 1 excluding visitors.</p> <p><span class="em">Q25. Does this household get any money from the following?</span><div class="i1">1. Yes<br />2. No</div><div class="i2">01. Selling food crops and cooked food at market/roadside<br />02. Selling fish (e.g. crabs, shell fish) at market/roadside<br />03. Selling meat (e.g. pig, magani) at market/roadside<br />04. Selling things they make, e.g. carvings, bilums<br />05. Selling bettelnut/mustard/lime<br />06. Running a PMV<br />07. Hiring boats<br />09. Running a trade store<br />Other (Any major income generating activity) _____</div><span class="em">Who to ask: </span>Ask every head of household.</p> <p><span class="em">Get this information for</span>: All households.</p> <p><span class="em">How to ask: </span>"Does this household get any money from the following?" <br />Then read the list to them (Code 1 to Code 8)</p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say "yes"<br />Write Code 2 if they say "no"<br />If they get money from any activities which are not in the list 1 to 8, write one main activity under "other".<br />Write code 1 for if they say there is another activity.<br />Write code 2 if there are no other main activity.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household get money from hiring boats. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Running a trade store <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>25. Does this household get any money from the following?</p> <div class="i1">8. Running a trade store</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Question 25: Household income generating activities</span> <br />This question is about the source of income that the whole household is involved in, this may be the business activity of the whole household. Source must be the activity that any one of the household members who were listed in Question 1 excluding visitors.</p> <p><span class="em">Q25. Does this household get any money from the following?</span><div class="i1">1. Yes<br />2. No</div><div class="i2">01. Selling food crops and cooked food at market/roadside<br />02. Selling fish (e.g. crabs, shell fish) at market/roadside<br />03. Selling meat (e.g. pig, magani) at market/roadside<br />04. Selling things they make, e.g. carvings, bilums<br />05. Selling bettelnut/mustard/lime<br />06. Running a PMV<br />07. Hiring boats<br />09. Running a trade store<br />Other (Any major income generating activity) _____</div><span class="em">Who to ask: </span>Ask every head of household.</p> <p><span class="em">Get this information for</span>: All households.</p> <p><span class="em">How to ask: </span>"Does this household get any money from the following?" <br />Then read the list to them (Code 1 to Code 8)</p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say "yes"<br />Write Code 2 if they say "no"<br />If they get money from any activities which are not in the list 1 to 8, write one main activity under "other".<br />Write code 1 for if they say there is another activity.<br />Write code 2 if there are no other main activity.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household get money from running a trade store. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Type of other income generating activity <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>25. Does this household get any money from the following?</p> <div class="i1">9. Other (any other major income generating activity)</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Question 25: Household income generating activities</span> <br />This question is about the source of income that the whole household is involved in, this may be the business activity of the whole household. Source must be the activity that any one of the household members who were listed in Question 1 excluding visitors.</p> <p><span class="em">Q25. Does this household get any money from the following?</span><div class="i1">1. Yes<br />2. No</div><div class="i2">01. Selling food crops and cooked food at market/roadside<br />02. Selling fish (e.g. crabs, shell fish) at market/roadside<br />03. Selling meat (e.g. pig, magani) at market/roadside<br />04. Selling things they make, e.g. carvings, bilums<br />05. Selling bettelnut/mustard/lime<br />06. Running a PMV<br />07. Hiring boats<br />09. Running a trade store<br />Other (Any major income generating activity) _____</div><span class="em">Who to ask: </span>Ask every head of household.</p> <p><span class="em">Get this information for</span>: All households.</p> <p><span class="em">How to ask: </span>"Does this household get any money from the following?" <br />Then read the list to them (Code 1 to Code 8)</p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say "yes"<br />Write Code 2 if they say "no"<br />If they get money from any activities which are not in the list 1 to 8, write one main activity under "other".<br />Write code 1 for if they say there is another activity.<br />Write code 2 if there are no other main activity.</div> Papua New Guinea 2000: Enumerated private household who engaged in other income generating activity [discrepancies: none] This variable indicates other types of income generating activities in which the household may have engaged in. 11 Tobacco 13 Edible products 25 Animal products 29 Other activities 99 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Other income generating activity <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>25. Does this household get any money from the following?</p> <div class="i1">9. Other (any other major income generating activity)</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Household Economic Activity</span> <br />Q24 give us important information on which foods and cash crops households grow and raise. These are the produce for the household that they get cash for or for their own use.</p> <p><span class="em">Question 25: Household income generating activities</span> <br />This question is about the source of income that the whole household is involved in, this may be the business activity of the whole household. Source must be the activity that any one of the household members who were listed in Question 1 excluding visitors.</p> <p><span class="em">Q25. Does this household get any money from the following?</span><div class="i1">1. Yes<br />2. No</div><div class="i2">01. Selling food crops and cooked food at market/roadside<br />02. Selling fish (e.g. crabs, shell fish) at market/roadside<br />03. Selling meat (e.g. pig, magani) at market/roadside<br />04. Selling things they make, e.g. carvings, bilums<br />05. Selling bettelnut/mustard/lime<br />06. Running a PMV<br />07. Hiring boats<br />09. Running a trade store<br />Other (Any major income generating activity) _____</div><span class="em">Who to ask: </span>Ask every head of household.</p> <p><span class="em">Get this information for</span>: All households.</p> <p><span class="em">How to ask: </span>"Does this household get any money from the following?" <br />Then read the list to them (Code 1 to Code 8)</p> <p><span class="em">How to record: </span>For each item on the list:</p> <div class="i1">Write Code 1 if they say "yes"<br />Write Code 2 if they say "no"<br />If they get money from any activities which are not in the list 1 to 8, write one main activity under "other".<br />Write code 1 for if they say there is another activity.<br />Write code 2 if there are no other main activity.</div> Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I none; type II 91.6%] This variable indicates whether or not the household get money from another income generating activity. 1 Yes 2 No 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD House ownership <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>26. Does [the respondent] own this house?</p> <div class="i1">[] 1 Yes [Continue to Question 28.]<br />[] 2 No</div> <span class="h3">Housing question</span> <br />Questions on housing are needed for planning and to develop housing policies for PNG.</p> <p><span class="em">Question 26. Housing ownership<br /><br />Q26. Do you own this house</span>? <br /><span class="ital">(If Yes record 1 and Go to Q28) </span><div class="i1">[] 1. Yes<br />[] 2. No</div><span class="em">Who to ask: </span>In urban areas, you must ask this question of all heads of household. <br />In some rural areas you may not need to ask this question of a villager who lives in a thatched roofed, traditional-style house, if you are sure he owns the house.</p> <p><span class="em">Get this information for: </span>All households.</p> <p><span class="em">How to ask: </span>Do you own this house?</p> <p><span class="em">How to record: </span><div class="i1">Write 1 (Yes) if owned.<br />Write 2 (No) if not owned.<br />If the answer is Code 1 (Yes) skip to Q28.<br />If the answer is Code 2 (No) go on to Q27</div><p>Note: Households in non-private dwellings (NPDs) should not be asked these questions. Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates whether the household owns the house. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD House rented from <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>27. If rented, who does the person rent the house from?</p> <div class="i1">Enter one code only.<br /><br />[] 1 National Housing Corporation<br />[] 2 Semi-government (e.g. PNGBC, ELCOM, TELIKOM)<br />[] 3 Other government (Provincial, LLG, District)<br />[] 4 Other/private (e.g. TST, STC, Real Estate, Wantoks)<br />[] 6 Not rented</div> <span class="h3">Housing question</span> <br />Questions on housing are needed for planning and to develop housing policies for PNG.</p> <p><span class="em">Question 27: Rented House<br /><br />Q27. If rented, who does the person rent the house from?</span> <br /><span class="ital">(If rented, record on code from the list below)</span><div class="i1">[] 1. National Housing Corporation<br />[] 2. Semi Government (PNGBC, ELCOM, Telikom)<br />[] 3. Other Govts, Provincial, District, LLGs, etc.<br />[] 4. Other private, e.g. TST, Real Estates, Wantoks<br />[] 5. Not rented</div><span class="em">Who to ask: </span>The head of all households which answered Code 2 (No) for Q26.</p> <p><span class="em">Get this information for: </span>All household which answered Code 2 (No) for Q26.</p> <p><span class="em">How to ask: </span>Who do you rent this house from?</p> <p><span class="em">How to record: </span>Write the correct code in the box:</p> <div class="i1">Code 1 is for houses rented from the National Housing Corporation.<br />Code 2 is for houses rented from semi-government business like PNGBC, ELCOM, and Telicom.<br />Code 3 is for Provincial, local, and district governments.<br />Code 4 is for houses rented from other businesses, Real Estate companies, the church, private landlords, wantoks and others.<br />Code 5 is when no rent is paid. For example, a family who is looking after a relative's house while the relative is away on holidays.</div> Papua New Guinea 2000: Enumerated or refusal private households that do not own their house [discrepancies: none] This variable indicates where the household rented the house. 1 National housing 2 Semi-government 3 Other government 4 Other private 5 Not rented 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Number of rooms <span class="em">For the household ask the following questions </span> <br />[Questions 24-28 were asked of all households.]</p> <p>28. How many rooms are there in this house?</p> <div class="i1">Enter figure for the number of rooms. Excludes kitchen, bathroom or storeroom.<br /><br />____</div> <span class="h3">Housing question</span> <br />Questions on housing are needed for planning and to develop housing policies for PNG.</p> <p><span class="em">Question 28: Number of rooms<br /><br />28. How many rooms are there in this house? ____<br /></span> <br /><span class="ital">Enter a figure for number of rooms. Exclude kitchen, bathroom and store rooms.</span></p> <p><span class="em">Who to ask: </span>All heads of households</p> <p><span class="em">Get this information for: </span>All households.</p> <p><span class="em">How to ask: </span>"How many rooms does your house have?"</p> <p><span class="em">How to record: </span>Count only main rooms (e.g. living room, family room, dining room, lounge) and rooms used for sleeping.</p> <div class="i1">-Do not count separate kitchens, bathrooms, toilets, hallways, verandahs or storerooms.<br />-Bedrooms which are used as store rooms are counted as rooms.<br />-A room does not have to have permanent walls. If matting or cloth is hung to divide up an area so that people cannot see into it, then the parts should be taken as separate rooms.</div><p>[Pages 121-123: Examples and exercises are omitted.] <br />[Pages 124- 157: Chapter 10-11 and Appendix 1-7 containing administrative information and examples are omitted.] Papua New Guinea 2000: Enumerated or refusal private households [discrepancies: type I trace; type II trace] This variable indicates the number of room available in the dwelling . 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Strata Papua New Guinea 2000: This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 4-digit numeric variable with 0 implied decimal places Geography: Global Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Year of birth BIRTHYR gives the person's year of birth. 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 1782 1782 1783 1783 1784 1784 1785 1785 1786 1786 1787 1787 1788 1788 1789 1789 1790 1790 1791 1791 1792 1792 1793 1793 1794 1794 1795 1795 1796 1796 1797 1797 1798 1798 1799 1799 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 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2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown Demographic Variables -- PERSON Month of birth BIRTHMO indicates the person's month of birth. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving CHSURV reports the number of children born to a woman who were still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children ever born CHBORNF indicates the number of female children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children ever born CHBORNM indicates the number of male children ever born to a woman. Only live births are counted. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children surviving CHSURVF indicates the number of female children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children surviving CHSURVM indicates the number of male children ever born to a woman still living at the time of the census. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children dead CHDEAD reports how many of the children ever born to a woman were no longer living at the time of the census. Women were to consider all live births by all fathers; they were to exclude still births. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown/missing 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of female children dead CHDEADFEM indicates the number of female children ever born to a woman who are no longer living. Stillbirths are not counted. It is possible to calculate total child deaths for samples that have both the "Female children ever born" and "Female children surviving" variables. That is not done in CHDEADFEM, which includes only the samples that directly reported the information in the appropriate form. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of male children dead CHDEADMALE indicates the number of male children ever born to a woman who are no longer living. Stillbirths are not counted. It is possible to calculate total child deaths for samples that have both the "Male children ever born" and "Male children surviving" variables. That is not done in CHDEADMALE, which includes only the samples that directly reported the information in the appropriate form. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Mortality status of mother MORTMOT indicates whether the person's biological mother was still living at the time of the census. 1 Alive 2 Dead 7 Does not know 8 Missing 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own children in household HOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children in household HOMEFEM indicates the number of female children born living in the household with their mother (the respondent). 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 17 17 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own male children in household HOMEMALE indicates the number of male children born living in the household with their mother (the respondent). 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own children living elsewhere AWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) at the time of the census. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own female children living elsewhere AWAYFEM indicates the number of surviving biological female children not living in the household with their mother (the respondent). 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of own male children living elsewhere AWAYMALE indicates the number of surviving biological male children not living in the household with their mother (the respondent). 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Nativity status NATIVITY indicates whether the person was native-born or foreign-born. 0 NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Country of birth BPLCOUNTRY indicates the person's country of birth. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown Nativity and Birthplace Variables -- PERSON Country of citizenship NATION indicates the person's country of citizenship. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt/United Arab Rep. 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24021 Canada, First Nations 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33991 Laos and Cambodia 33992 Malaysia and Singapore 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown Nativity and Birthplace Variables -- PERSON Province or country of birth, Papua New Guinea BPLPG indicates the person's province of birth within Papua New Guinea 00 NIU 01 Western 02 Gulf 03 Central 04 National Capital District 05 Milne Bay 06 Northern 07 Southern Highlands, Hela 08 Enga 09 Western Highlands, Jiwaka 10 Chimbu 11 Eastern Highlands 12 Morobe 13 Madang 14 East Sepik 15 West Sepik 16 Manus 17 New Ireland 18 East New Britain 19 West New Britain 20 Autonomous Region of Bougainville 98 Foreign Born 99 Unknown Nativity and Birthplace Variables -- PERSON Religion [general version] RELIGION indicates the person's religion, including "none." 0 NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown Ethnicity and Language Variables -- PERSON Religion [detailed version] RELIGION indicates the person's religion, including "none." 0000 NIU (not in universe) 1000 No religion 1001 Atheist 1002 Agnostic 1003 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5005 Ahmadis 5006 Sunni 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentecostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6022 Moravian 6090 Other Christian, historical 6100 Other Christian, Armenia 6101 Armenia apostolic 6102 Nestorian 6103 Molokai 6104 Other Christian, Austria 6105 Old Catholic 6106 Protestant, Augsburg confession 6107 Protestant, Westminster confession 6108 Protestant, Helvetic confession 6109 Greek Oriental 6110 Armenian Apostolic 6111 Other Protestant 6112 Christian Community for renewal 6113 Christian Community, not specified 6114 Other Christian, Benin 6115 Other Christian 6116 Celestial 6117 Other Christian, Brazil 6118 Christian Congregation of Brazil 6119 Brazilian Catholic Apostolic 6120 Brazil for Christ 6121 Foursquare Gospel 6122 Universal of the Kingdom of God 6123 House of the Blessing 6124 House of Prayer 6125 God is Love 6126 Maranata 6127 Other Christian, Brazil 1991 6128 Undetermined Protestant 6129 Other traditional Protestant 6130 Neo-Christian 6131 Other Neo-Christian 6132 Undetermined Christian 6133 Other Christian, Brazil 2000 6134 Other Catholic 6135 Renewed Evangelical Protestant without institutional ties 6136 Pentecostal Evangelical without institutional ties 6137 New Life Evangelical Protestant Pentecostal 6138 Evangelical Protestant Biblical Revival Pentecostal 6139 Chain Of Prayer Pentecostal 6140 Undetermined Evangelical Protestant 6141 Religion Of God 6142 Christian without institutional ties 6143 Other Christian, Brazil 2010 6144 Salvation Army 6145 Other Christian, Canada 6146 Other Catholic 6147 United Church 6148 Protestant, not specified 6149 Other Protestant 6150 Other Christian, Cameroon 6151 Other Christian, Fiji 6152 Christian undefined 6153 Church of England 6154 Gospel Hall and Brethern 6155 Christian Mission Fellowship (CMF) or Every Home 6156 Salvation Army 6157 All Nations Christian Fellowship 6158 Apostles Gospel Outreach Fellowship 6159 Christian Outreach Centre 6160 Other Christian 6161 Other Christian, Germany 6162 Oriental Christian 6163 Other Christian, Ghana 6164 Other Christian, Iran 6165 Assyrian or Chaldean 6166 Armenian 6167 Other Christians 6168 Other Christian, Indonesia 6169 Other Christian 6170 Protestant/Other Christian 6171 Other Christian, Ireland 6172 Church of Ireland 6173 Church of Scotland 6174 Independent 6175 Unitarian 6176 Salvation Army 6177 Free Church 6178 Brethren 6179 Christian Brethren 6180 Plymouth Brethren 6181 Quaker 6182 Other Christians 6183 Other Christian, Ivory Coast 6184 Other Christian, Jamaica 6185 Brethren 6186 Church of God 6187 Church of God of Prophecy 6188 Other Church of God 6189 United Church 6190 Salvation Army 6191 New Testament 6192 Disciples of Christ 6193 Other Christian, Mauritius 6194 Christian Tamil 6195 Salvation and Healing Mission 6196 Voice of Deliverance 6197 Other Christian 6198 Other Christian, Mexico 6199 Anabaptist 6200 Calvinist 6201 Cuaquera 6202 Disciples of Christ 6203 Christian Friendship Church 6204 Prayer House Church 6205 Faith Center 6206 Agape Force Church 6207 Alpha and Omega Church 6208 Living Water Church 6209 Apostolic Church 6210 Church of God 6211 Church of God of Prophecy 6212 Complete Gospel Church 6213 Evangelical Siblings Church 6214 Upper Room Church 6215 Pentecostal Indigenous Church 6216 Angular Stone Voice Church 6217 Pentecostal Missionary 6218 Christian 6219 Christian Societies 6220 Evangelical 6221 Evangelical Societies 6222 New Testament Evangelical 6223 Pentecostal 6224 Pentecostal Societies 6225 Independent Pentecostal 6226 Evangelical Christian Societies 6227 Pentecostal Christian Societies 6228 Evangelical Pentecostal Societies 6229 Evangelical Pentecostal Christian Societies 6230 Soldiers of Christ's Cross Church 6231 Tabernacle 6232 Traditionalists 6233 Other Evangelical Pentecostal Societies 6234 Pentecostal not clearly specified 6235 Living God, Light of the World 6236 Christian and Missionary Alliance 6237 Non-Pentecostal Apostolic 6238 Evangelical Associations 6239 Biblical 6240 Confraternities 6241 Christ Church 6242 Peace Grace and Misericordia Church 6243 Open Bible Church 6244 Holiness Church 6245 Evangelical Salem Church 6246 Beautiful Woman Dressed in the Sun 6247 Messianic Church 6248 Evangelical Ministers 6249 Evangelical Missionaries 6250 Evangelical Movements 6251 New Jerusalem 6252 World Vision Church 6253 Evangelical not clearly specified 6254 Biblical - non-evangelicals 6255 Other Christians not clearly specified 6256 Assumptionist 6257 Carmelite 6258 Claretian 6259 Conception Franciscan 6260 Maronite Diocese of Mexico 6261 Dominican 6262 Servants of Mary Immaculate 6263 Franciscan 6264 Guadalupan 6265 Daughters of the Immaculate Conception 6266 Jesuit 6267 Legionaries of Christ 6268 Divine Word Missionary 6269 Pauline 6270 Sacred Heart 6271 Saint Joseph of Tarbes 6272 Servant of the Lord and the Virgin 6273 Servant of Jesus 6274 Greek Catholic Church 6275 Reformed Roman Catholic Church 6276 Mexican National Catholic Church 6277 Tridentine Latin Rite Catholic Church 6278 Priestly Society Trento 6279 Mexican Catholic Union of Trento 6280 Anabaptist / Memnonite 6281 Anglican / Episcopal 6282 House of Prayer 6283 Center of Faith, Hope and Love of the Missionary Revival Crusade 6284 Center of Faith, Hope and Love Agape Force 6285 Salvation Army 6286 Independent Pentecostal Fellowship 6287 Upper Chamber Church 6288 Faith Apostolic Church of Jesus Christ 6289 Spiritual Christian Church 6290 Pentecostal Evangelical Christian Church 6291 Interdenominational Christian Church 6292 Church of God Full Gospel in Mexico 6293 Church of Jesus Christ on the Rock 6294 Christ Evangelical Pentecostal Church Rock of my Salvation 6295 Mexican Church of Christ's Gospel Pentecost 6296 United Pentecostal Church of Mexico 6297 Universal Church of the Kingdom of God 6298 Only Christ Savior Christian Church 6299 Independent Evangelical Pentecostal Movement 6300 Prince of Peace 6301 National Union of Evangelical Christian Churches (UNICE) 6302 Union of Independent Evangelical Churches 6303 Other associations Pentecostal 6304 Church of the Living God, Pillar and Support of Truth, the Light of the World 6305 Bible Church 6306 Interdenominational Christian Church in Mexico 6307 Church of Christ 6308 Honey Church of Christ 6309 Independent Evangelical Church in Mexico 6310 Renewed Church of Jesus Christ and the Apostles of Divine Love 6311 Other Christian and Evangelical associations without Pentecostal support 6312 Faith Christian Church 6313 Traditional Apostolic Catholic Holy Church Mexico-USA 6314 Mexican Apostolic Catholic Church 6315 Elias 6316 Spiritualistic 6317 Spiritualist 6318 Marian Trinitarian Spirituality 6319 Spirituality of the Third Age 6320 Christian Spiritual 6321 Judiciary Society Reign of Leonardo Alcalá Leos 6322 Spirituality for the Divine Master and the purity of Mary 6323 Light and Hope 6324 Holy Spirit, Purity, Love and Light 6325 Christian Science 6326 Neo-Israelite Jewish Syncretic Movements 6327 Other Christian, Netherlands 6328 Reformed Churches in The Netherlands 6329 Other Reformed 6330 Other Christian, Papua New Guinea 6331 Asian Pacific Christian Mission 6332 Asutalian Church 6333 Bamu River Mission 6334 Christian Brethren Church of PNG 6335 Christian Mission of Many Lands 6336 Christian Revival Crusade 6337 Christain Union Mission 6338 Church of Christ of PNG 6339 Faith mission 6340 Four Square Gospel Mission 6341 Kwato Church 6342 Life Center 6343 Lighthouse church 6344 New Guinea Gospel Mission 6345 New Life Mission 6346 New tribes Mission 6347 Paliau Christian Native Church 6348 Rhema Fellowship 6349 Salvation Army 6350 Sovereign Grace 6351 United Church 6352 Wewak Fellowship 6353 Western Highland 6354 Independent 6355 Plymouth Brethern 6356 Tiliba Mission 6357 Tokarara Christian Fellowship 6358 Village Mission 6359 Other Christian 6360 Other Christian, Paraguay 6361 Christian Community 6362 Free Brothers 6363 Church of God 6364 Church of God of Prophecy 6365 New testament 6366 God is love 6367 Universal Church of the Kingdom of God 6368 People of God 6369 Family worship center 6370 Pseudo-Christian groups 6371 Other Christian, Philippines 6372 Aglipay 6373 Bible Christian Committees 6374 Born-again Christian 6375 Bread of Life Ministries 6376 Cathedral of Praise, Incorporated 6377 Charismatic Full Gospel Ministries 6378 Christ the Living Stone Fellowship 6379 Christian and Missionary Alliance 6380 Christians Missions 6381 Christian Reformed Church in the Philippines, Incorporated 6382 Church of Christ 6383 Crusaders of the Divine Church of Christ, Incorporated 6384 Evangelical Christian Outreach Foundation 6385 Evangelical Free Church 6386 Filipino Assemblies of the First Born Inc. 6387 Foursquare Gospel 6388 Free Believers in Christ Fellowship 6389 Free Mission in the Philippines Inc. 6390 God World Mission 6391 Good News Christian Churches 6392 IEMELIF Reform Movement 6393 Iglesia Evangelista Methodista en Las 6394 Iglesia Evangelica Unida de Cristo 6395 Iglesia ni Cristo 6396 Iglesia sa Dios Espiritu Santo, Incorporated 6397 Jesus Christ Saves Global Outreach 6398 Jesus is Alive Community, Incorporated 6399 Jesus is Lord Church 6400 Jesus Reigns Ministries 6401 Love of Christ International Ministries 6402 Other Evangelical 6403 Other Evangelical Church 6404 Other Protestants 6405 Philippine Ecumenical Christian Church 6406 Philippine Evangelical Mission 6407 Philippine Grace Gospel Fellowship 6408 Philippines Benevolent Missionaries 6409 Philippines General Council of the Assemblies of God 6410 Potter's House Christian Center 6411 Salvation Army Philippines 6412 Take the Nation for Jesus Global Ministries (Corpus Christi) 6413 UNIDA Evangelical Church 6414 Union Espiritista Cristiana de Filipinas, Incorporated 6415 United Church of Christ in the Philippines 6416 United Evangelical Church of the Philippines (Chinese) 6417 Victory Chapel Christian Fellowship 6418 Wesleyan Church 6419 World Missionary Evangelism 6420 Worldwide Church of God 6421 Zion Christian Community Church 6422 Other Christian, Portugal 6423 Other Christian, Romania 6424 Greek Catholic 6425 Reformed Church 6426 Evangelic of Augustan Confession 6427 Evangelic Synodo-Presbyterian 6428 Christian of Old Rite 6429 Christian by Gospel 6430 Evangelic 6431 Other Christian, Rwanda 2002 6432 Other Christian, Sierra Leone 6433 Other Christian, Slovak Republic 6434 Old Catholic 6435 Greek Catholic 6436 Christian Reformed 6437 Other Christian, South Africa 6438 Reformed 6439 International Fellowship of Christian Churches 6440 Apostolic Faith Mission of SA 6441 Other Apostolic Churches 6442 Pinkster Protestant Church 6443 Afrikaanse Protestant Church 6444 Full Gospel Church of God in Southern Africa 6445 Pentecostal Churches 6446 Salvation Army 6447 Bandla Lama Nazaretha 6448 African Methodist Episcopal Church 6449 St John's Apostolic Church 6450 International Pentecost Church 6451 Ethiopian type churches 6452 Ethnic churches 6453 Other African Independent Churches 6454 Other Christian Churches 6455 Other Catholic Churches 6456 Other Pentecostal Churches 6457 Other Orthodox Churches 6458 Other African Apostolic churches 6459 Other Assemblies 6460 Christian Scientist 6461 Christian Centres 6462 Other Evangelical Churches 6463 Other Charismatic Churches 6464 Just a Christian or non-denominational 6465 Other 6466 Other Christian, Suriname 6467 Other Christian 6468 Other Christian, Saint Lucia 6469 Church of God 6470 Other Christian, Senegal 6471 Other Christian 6472 Other Christian, Switzerland 6473 Other protestant churches and communities 6474 Christ-Catholic church 6475 Other Christian communities 6476 Other Christian, Trinidad and Tobago 6477 Church of God 6478 African Methodist Espiscopalians 6479 Brethren, Christian or Plymouth 6480 Church of Christ 6481 Gospel Hall or Gospel Missionary 6482 Nazarenes 6483 Pilgrim Holiness 6484 Ethiopian Orthodox 6485 Open Bible Church 6486 Assemblies of Yahweh 6487 Evangelical Church of West Indies 6488 Christadelphian 6489 Full Gospel Fellowship 6490 Dutch Reform 6491 Christian Brotherhood Assembly 6492 Other Christian, Uganda 6493 Other Christian 6494 Salvation Army 6495 Other Christian non-Catholic, Uruguay 6496 Other Christian non-Catholic, Guatemala 6497 Other Christian, Togo 7000 Other 7001 Bahai 7002 Sikh 7003 Rastafarian 7100 Other, Armenia 7101 Pagan 7102 Shar-fadinian 7103 Other, Austria 7104 Unification Church, Austria 7105 Other, Benin 7106 Traditional 7107 Vodoun 7108 Other, Botswana 7109 Badimo 7110 Other, Brazil 7111 Spiritist 7112 Kardecist Spiritist 7113 Afro Spiritist 7114 Mediumistic Spiritist 7115 Umbandist Mediumistic 7116 Candomblecist Mediumistic 7117 Other Afro-Brazilian 7118 Oriental, Brazil 7119 New Oriental 7120 Oriental Seicho No-le 7121 Other Oriental, Brazil 7122 Esoteric, Brazil 7123 Indigenous, Brazil 7124 Other minority groups, Brazil 7125 Other, Burkina Faso 7126 Animist 7127 Other, Cameroon 7128 Animist 7129 Other, Canada 7130 Eastern religions, Canada 7131 Other, Chile 7132 Theosophism 7133 Shintoism 7134 Other, Ethiopia 7135 Traditional 7136 Other, Ethiopia 7137 Other, Fiji 7138 Confucian 7139 Kabir Panthi 7140 Satya Sai Baba 7141 Bahai 7142 Other non-Christian, Fiji 7143 Other, Germany 7144 Other, Germany 7145 Other, Ghana 7146 Traditional, Ghana 7147 Other, Guinea 7148 Animist 7149 Other, Guinea 7150 Other, Haiti 7151 Voodoo 7152 Other, India 7153 Jainism 7154 Zoroastrianism 7155 Other, India 7156 Other, Indonesia 7157 Confucianism 7158 Other, Indonesia 7159 Other, Iran 7160 Zoroastrian 7161 Other, Iran 7162 Other, Ivory Coast 7163 Animist 7164 Harrist 7165 Other, Jamaica 7166 Muslim/Hindu 7167 Other, Israel 7168 Druse 7169 Other, Israel 7170 Other, Laos 7171 Animist 7172 Other, Liberia 7173 Traditional 7174 Other, Malaysia 7175 Confucianism/Taoism 7176 Tribal/Folk religion, Malaysia 7177 Other, Mali 7178 Animist 7179 Other, Mexico 7180 Brahmanism 7181 Hare Krishna 7182 Shintoism 7183 Taoism 7184 Mexican Movements 7185 Ananda Marga 7186 Church of Scientology 7187 Masons 7188 Raelian Movement 7189 New Age Movement 7190 Neoisraelites 7191 Occultists 7192 Palmar of Troya 7193 Rose Cross 7194 Theosophism 7195 Spiritualist Special Keys 7196 Onkaranada Center 7197 Confucianism 7198 Shia 7199 Universal Great Brotherhood 7200 Esoteric Science 7201 Gnosticism 7202 Metaphysics 7203 Wicca 7204 Shamanism 7205 The Custom 7206 Mexicayotl 7207 Restorative Confederate Movement of Anahuac Culture 7208 African Origin 7209 Indigenous Religions 7210 Growing in Grace 7211 Eckankar 7212 Transcendental Meditation 7213 Mission Branch 7214 Children of God 7215 Sri Sathya Sai Baba 7216 Other religions from Asia 7217 Ethnic roots 7218 Afro roots 7219 Popular cults 7220 Other new religious movements 7221 Other, Nepal 7222 Kirat 7223 Jain 7224 Garaute 7225 Tap jura 7226 Bon 7227 Prakriti 7228 Other, Nigeria 7229 Traditional 7230 Other, Pakistan 7231 Ahmadi 7232 Parsi 7233 Scheduled caste 7234 Other, Paraguay 7235 Philosophical revelations 7236 Indigenous religion 7237 Reyukai 7238 Other, Paraguay 7239 Other, Philippines 7240 Door of Faith 7241 Faith Tabernacle Church (Living Rock Ministries) 7242 Iglesia Filipina Independiente 7243 International One Way Outreach 7244 Miracle Life Fellowship International 7245 Miracle Revival Church of the Philippines 7246 Philippine Good News Ministries 7247 Philippine Missionary fellowship 7248 Things to Come 7249 Way of Salvation 7250 Word of the World 7251 Word International Ministries 7252 Tribal Religions, Philippines 7253 Other, Romania 7254 Unitarian 7255 Armenian 7256 Mosaic 7257 Other, Romania 7258 Other, Rwanda 7259 Traditional religion, Rwanda 7260 Other, Rwanda 7261 Other, Sierra Leone 7262 Traditional religion, Sierra Leone 7263 Other, South Africa 7264 African traditional belief 7265 Taoist 7266 Confucian 7267 New Age 7268 Winti 7269 Javanism 7270 Other non-Christian, S. Africa 7271 Other, Suriname 7272 Javanism 7273 Traditional 7274 Winti 7275 Other, Thailand 7276 Confucian 7277 Other, Trinidad and Tobago 7278 Pocamania or Shango 7279 Orisha 7280 Other, Uganda 7281 Traditional religion 7282 Mammon 7283 Other non-Christian, Uganda 7284 Other, United Kindom 7285 Other, Uruguay 7286 Umbanda/other Afro-American 7287 Other, Uruguay 7288 Other, Vietnam 7289 Cao Dai 7290 Cham Brahmin 7296 Other, Togo 7297 Animist 7900 Other, not elsewhere classified 9999 Unknown Ethnicity and Language Variables -- PERSON Speaks English SPEAKENG indicates whether the respondent could speak English or if English was the respondent's language of literacy. 1 Yes 2 No 7 Does not speak 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Literacy LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both. 0 NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Years of schooling YRSCHOOL indicates the highest grade/level of schooling the person had completed, in years. Only formal schooling is counted. YRSCHOOL accounts for the number of years of study, regardless of the track or kind of study. Information on degree and/or technical track is available in EDATTAIN. Years of schooling for Israel, categorized into intervals, are given in YRSCHOOL2. Users should pay close attention to the top-codes in each sample, as discussed in the comparability section. 00 None or pre-school 01 1 year 02 2 years 03 3 years 04 4 years 05 5 years 06 6 years 07 7 years 08 8 years 09 9 years 10 10 years 11 11 years 12 12 years 13 13 years 14 14 years 15 15 years 16 16 years 17 17 years 18 18 years or more 90 Not specified 91 Some primary 92 Some technical after primary 93 Some secondary 94 Some tertiary 95 Adult literacy 96 Special education 98 Unknown/missing 99 NIU (not in universe) Education Variables -- PERSON Educational attainment, Papua New Guinea EDUCPG indicates the person's educational attainment in Papua New Guinea in terms of the level of schooling completed and year or grade completed. 00 NIU (not in universe) 10 None 21 Primary, grade 1 22 Primary, grade 2 23 Primary, grade 3 24 Primary, grade 4 25 Primary, grade 5 26 Primary, grade 6 29 Technical or vocational training, post-primary 31 Lower secondary, grade 7 (form 1) 32 Lower secondary, grade 8 (form 2) 33 Lower secondary, grade 9 (form 3) 34 Lower secondary, grade 10 (form 4) 39 Technical or vocational training, post-lower secondary 41 Upper secondary, grade 11 (form 5) 42 Upper secondary, grade 12 (form 6) 50 Technical or vocational training, non-university 51 Technical training, year 1 52 Technical training, year 2 53 Technical training, year 3 60 Certificate or diploma, non-university 61 Certificate or diploma, year 1 62 Certificate or diploma, year 2 63 Certificate or diploma, year 3 70 University 71 Undergraduate studies 72 Undergraduate studies, year 1 73 Undergraduate studies, year 2 74 Undergraduate studies, years 3 and 4 80 Graduate studies 81 Graduate studies, years 1 and 2 82 Graduate studies, year 3 98 Unknown Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Occupation, ISCO-1988, 3-digit ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification. 010 Armed forces 111 Legislators 112 Senior government officials 113 Traditional chiefs and heads of villages 114 Senior officials of special-interest organizations 121 Directors and chief executives 122 Production and operations department managers 123 Other department managers 131 General managers 199 Legislators, senior officials and managers not elsewhere classified 211 Physicists, chemists and related professionals 212 Mathematicians, statisticians and related professionals 213 Computing professionals 214 Architects, engineers and related professionals 221 Life science professionals 222 Health professionals (except nursing) 223 Nursing and midwifery professionals 231 College, university and higher education teaching professionals 232 Secondary education teaching professionals 233 Primary and pre-primary education teaching professionals 234 Special education teaching professionals 235 Other teaching professionals 241 Business professionals 242 Legal professionals 243 Archivists, librarians and related information professionals 244 Social science and related professionals 245 Writers and creative or performing artists 246 Religious professionals 299 Professionals no elsewhere classified 311 Physical and engineering science technicians 312 Computer associate professionals 313 Optical and electronic equipment operators 314 Ship and aircraft controllers and technicians 315 Safety and quality inspectors 321 Life science technicians and related associate professionals 322 Modern health associate professionals (except nursing) 323 Nursing and midwifery associate professionals 324 Traditional medicine practitioners and faith healers 331 Primary education teaching associate professionals 332 Pre-primary education teaching associate professionals 333 Special education teaching associate professionals 334 Other teaching associate professionals 341 Finance and sales associate professionals 342 Business services agents and trade brokers 343 Administrative associate professionals 344 Customs, tax and related government associate professionals 345 Police inspectors and detectives 346 Social work associate professionals 347 Artistic, entertainment and sports associate professionals 348 Religious associate professionals 399 Technicians and associate professionals not elsewhere classified 411 Secretaries and keyboard-operating clerks 412 Numerical clerks 413 Material-recording and transport clerks 414 Library, mail and related clerks 419 Other office clerks 421 Cashiers, tellers and related clerks 422 Client information clerks 499 Clerks not elsewhere classified 511 Travel attendants and related workers 512 Housekeeping and restaurant services workers 513 Personal care and related workers 514 Other personal services workers 515 Astrologers, fortune-tellers and related workers 516 Protective services workers 521 Fashion and other models 522 Shop salespersons and demonstrators 523 Stall and market salespersons 599 Service workers and shop and market sales workers not elsewhere classified 611 Market gardeners and crop growers 612 Market-oriented animal producers and related workers 613 Market-oriented crop and animal producers 614 Forestry and related workers 615 Fishery workers, hunters and trappers 621 Subsistence agricultural and fishery workers 699 Skilled agricultural and fishery workers not elsewhere classified 711 Miners, shotfirers, stone cutters and carvers 712 Building frame and related trades workers 713 Building finishers and related trades workers 714 Painters, building structure cleaners and related trades workers 721 Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers 722 Blacksmiths, tool-makers and related trades workers 723 Machinery mechanics and fitters 724 Electrical and electronic equipment mechanics and fitters 731 Precision workers in metal and related materials 732 Potters, glass-makers and related trades workers 733 Handicraft workers in wood, textile, leather and related materials 734 Printing and related trades workers 741 Food processing and related trades workers 742 Wood treaters, cabinet-makers and related trades workers 743 Textile, garment and related trades workers 744 Pelt, leather and shoemaking trades workers 799 Craft and related trade workers not elsewhere classified 811 Mining- and mineral-processing-plant operators 812 Metal-processing-plant operators 813 Glass, ceramics and related plant operators 814 Wood-processing- and papermaking-plant operators 815 Chemical-processing-plant operators 816 Power-production and related plant operators 817 Automated-assembly-line and industrial-robot operators 821 Metal- and mineral-products machine operators 822 Chemical-products machine operators 823 Rubber- and plastic-products machine operators 824 Wood-products machine operators 825 Printing-, binding- and paper-products machine operators 826 Textile-, fur- and leather-products machine operators 827 Food and related products machine operators 828 Assemblers 829 Other machine operators and assemblers 831 Locomotive-engine drivers and related workers 832 Motor-vehicle drivers 833 Agricultural and other mobile-plant operators 834 Ships' deck crews and related workers 899 Other plant and machine operaters and assemblers not elsewhere classified 911 Street vendors and related workers 912 Shoe cleaning and other street services elementary occupations 913 Domestic and related helpers, cleaners and launderers 914 Building caretakers, window and related cleaners 915 Messengers, porters, doorkeepers and related workers 916 Garbage collectors and related labourers 921 Agricultural, fishery and related labourers 931 Mining and construction labourers 932 Manufacturing labourers 933 Transport labourers and freight handlers 989 Elementary occupations not elsewhere classified 990 Other workers, not elsewhere classified 998 Unknown 999 NIU (not in universe) Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON Employment disability DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Person number (within household) Papua New Guinea 2000: All records This variable indicates person number within the households. 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Person Variables -- PERSON Relationship to household head <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>2. What is the person's relationship to the head of household? </p> <div class="i1">[] 1 Head of household<br />[] 2 Husband/wife<br />[] 3 Own son/daughter<br />[] 4 Step/adopted child<br />[] 5 Other relative<br />[] 6 Non-relative</div> <span class="h3">Questions on Personal Characteristics</span> <br />Questions 1 to 7 provide information on personal characteristics such as age, sex, marital status and religion. They help us to plan for the needs of communities.</p> <p><span class="em">Question 2. Relationship to head household</span> <br />How each person is related to the head of the household?</p> <p>Questions 1 and 2 must be asked together</p> <p><span class="em">Q1. What is the name of each person including the visitors who slept here on the night of Sunday 9th July?</span> <br /><span class="ital">(Start with the Head of the Household)</span> <br />____</p> <p><span class="em">Q2. What is the person's relationship to the head of the household? </span><div class="i1">[] 1. Head of household<br />[] 2. Husband/wife<br />[] 3. Own son/daughter<br />[] 4. Step/adopted child<br />[] 5. Other relatives<br />[] 6. Non-relatives</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>For all persons who slept in the household on Sunday <br />9th July 2000. Papua New Guinea 2000: All persons This variable indicates the relationship of the person to household head. 1 Head 2 Wife or husband 3 Son or daughter 4 Step or adopted son or daughter 5 Other relative 6 Non relative 9 Unknown Demographic Variables -- PERSON Sex <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>3. Is the person male or female?</p> <div class="i1">[] 1 Male<br />[] 2 Female</div> <span class="h3">Questions on Personal Characteristics</span> <br />Questions 1 to 7 provide information on personal characteristics such as age, sex, marital status and religion. They help us to plan for the needs of communities.</p> <p><span class="em">Question 3: Sex.</span> <br />In every community, the population is made up of males and females. This is important information that shows distribution of population by sex.</p> <p><span class="em">Q3. Is there person a male or female?</span><div class="i1">[] 1. Male<br />[] 2. Female</div><span class="em">Who to ask: </span>Ask the head of the household, or the person responding.</p> <p><span class="em">Get this information for</span>: Every person listed in Question 1.</p> <p><span class="em">How to ask: </span>You only need to ask this if you cannot tell from a name that the person is male is female. Politely ask the respondents "Can you tell me if this person is a male or female?".</p> <p><span class="em">How to record:</span> Write in code 1 for Male or code 2 if the person is a Female. Only one code is to be entered in the box provided. Papua New Guinea 2000: All persons This variable indicates the sex of the person. 1 Male 2 Female Demographic Variables -- PERSON Month of birth <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>4. What is the person's date of birth or age in years?</p> <div class="i1">Write date of birth in the six boxes provided. If not known, write age in completed years.<br /><br />_ _ Day<br />_ _ Month<br />_ _Year <br />_ _Age in years</div> <span class="h3">Questions on Personal Characteristics</span> <br />Questions 1 to 7 provide information on personal characteristics such as age, sex, marital status and religion. They help us to plan for the needs of communities.</p> <p><span class="em">Question 4: Date of birth or Age</span> <br />Every community has people of different ages, ranging from very young to very old. <br />Peoples' needs change according to their age. Policy makers and planners need to know the number of people of each age group in every community, so they can plan for enough schools, aid posts and other community needs. Here are examples of how information on age is used.</p> <div class="i1">-Identify the balance between people who can work and people who are too young or too old to work. This helps to identify people who are likely to be dependent on other people.<br />-Identify certain proportion of the population who are likely to be in need of immediate attention to the authorities. 1990 census information tells us that about 43 percent of the population in New Ireland were less than 15 years old.<br />-Certain age groups are most likely to move around within the country. According to the 1990 Census findings in East Sepik Province, about 6, 000 persons in the age group 20-24 moved to other provinces. This information helped the national government policy makers and planners to address the issues related to internal migration.</div><p>When answering the question, make sure that the age of every person is recorded.</p> <p><span class="em">Q4. What is the person's date of birth or age in years? </span> <br /><span class="ital">(Write date of birth in the Boxes provided day / month / year. If not known write age in completed years) </span> <br />_ _ _ _ _ _ <br />Age in years: _ _</p> <p><span class="em">Who to ask: </span>Ask for all persons in the Household.</p> <p><span class="em">Get this information for: </span>Every person listed in Question 1. Papua New Guinea 2000: All persons This variable indicates the birth month of the person. 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 Unknown Demographic Variables -- PERSON Year of birth <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>4. What is the person's date of birth or age in years?</p> <div class="i1">Write date of birth in the six boxes provided. If not known, write age in completed years.<br /><br />_ _ Day<br />_ _ Month<br />_ _Year <br />_ _Age in years</div> <span class="h3">Questions on Personal Characteristics</span> <br />Questions 1 to 7 provide information on personal characteristics such as age, sex, marital status and religion. They help us to plan for the needs of communities.</p> <p><span class="em">Question 4: Date of birth or Age</span> <br />Every community has people of different ages, ranging from very young to very old. <br />Peoples' needs change according to their age. Policy makers and planners need to know the number of people of each age group in every community, so they can plan for enough schools, aid posts and other community needs. Here are examples of how information on age is used.</p> <div class="i1">-Identify the balance between people who can work and people who are too young or too old to work. This helps to identify people who are likely to be dependent on other people.<br />-Identify certain proportion of the population who are likely to be in need of immediate attention to the authorities. 1990 census information tells us that about 43 percent of the population in New Ireland were less than 15 years old.<br />-Certain age groups are most likely to move around within the country. According to the 1990 Census findings in East Sepik Province, about 6, 000 persons in the age group 20-24 moved to other provinces. This information helped the national government policy makers and planners to address the issues related to internal migration.</div><p>When answering the question, make sure that the age of every person is recorded.</p> <p><span class="em">Q4. What is the person's date of birth or age in years? </span> <br /><span class="ital">(Write date of birth in the Boxes provided day / month / year. If not known write age in completed years) </span> <br />_ _ _ _ _ _ <br />Age in years: _ _</p> <p><span class="em">Who to ask: </span>Ask for all persons in the Household.</p> <p><span class="em">Get this information for: </span>Every person listed in Question 1. Papua New Guinea 2000: All persons This variable indicates the person's year of birth. 1909 1909 or earlier year 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 9999 Unknown Demographic Variables -- PERSON Age <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>4. What is the person's date of birth or age in years?</p> <div class="i1">Write date of birth in the six boxes provided. If not known, write age in completed years.<br /><br />_ _ Day<br />_ _ Month<br />_ _Year <br />_ _Age in years</div> <span class="h3">Questions on Personal Characteristics</span> <br />Questions 1 to 7 provide information on personal characteristics such as age, sex, marital status and religion. They help us to plan for the needs of communities.</p> <p><span class="em">Question 4: Date of birth or Age</span> <br />Every community has people of different ages, ranging from very young to very old. <br />Peoples' needs change according to their age. Policy makers and planners need to know the number of people of each age group in every community, so they can plan for enough schools, aid posts and other community needs. Here are examples of how information on age is used.</p> <div class="i1">-Identify the balance between people who can work and people who are too young or too old to work. This helps to identify people who are likely to be dependent on other people.<br />-Identify certain proportion of the population who are likely to be in need of immediate attention to the authorities. 1990 census information tells us that about 43 percent of the population in New Ireland were less than 15 years old.<br />-Certain age groups are most likely to move around within the country. According to the 1990 Census findings in East Sepik Province, about 6, 000 persons in the age group 20-24 moved to other provinces. This information helped the national government policy makers and planners to address the issues related to internal migration.</div><p>When answering the question, make sure that the age of every person is recorded.</p> <p><span class="em">Q4. What is the person's date of birth or age in years? </span> <br /><span class="ital">(Write date of birth in the Boxes provided day / month / year. If not known write age in completed years) </span> <br />_ _ _ _ _ _ <br />Age in years: _ _</p> <p><span class="em">Who to ask: </span>Ask for all persons in the Household.</p> <p><span class="em">Get this information for: </span>Every person listed in Question 1. Papua New Guinea 2000: All persons This variable indicates the person's age. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90+ Demographic Variables -- PERSON Marital status <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>5. What is the person's present marital status?</p> <div class="i1">[] 1 Never married<br />[] 2 Married<br />[] 3 Separated<br />[] 4 Divorced<br />[] 5 Widowed</div> <span class="h3">Questions on Personal Characteristics</span> <br />Questions 1 to 7 provide information on personal characteristics such as age, sex, marital status and religion. They help us to plan for the needs of communities.</p> <p><span class="em">Question 5: Marital Status</span> <br />This question asks if the person is never married, married, separated, divorced, or widowed. This is called the person's marital status.</p> <p><span class="em">Q5. What is the person's present marital status?</span><div class="i1">[] 1. Never married<br />[] 2. Married<br />[] 3. Separated<br />[] 4. Divorced<br />[] 5. Widowed</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>All persons. If is not necessary to ask the question for young children who are obviously not married. Use your judgment and ask only about those people who could be married.</p> <p>Be very careful not to offend respondents. If they say someone is married or that someone is divorced, accept whatever they tell you. Do not try to find out whether they have a legal marriage or are just living together, or whether they have a legal divorce or not.</p> <p><span class="em">How to ask: </span>You should simply ask "Are you/ is he/she single, married, divorced, separated, or widowed?</p> <p><span class="em">How to record: </span>Write in the box the correct code, 1-5, from the census form. For example, if a person says he is currently widowed, Code 5 should be written in the box.</p> <div class="i1">--A woman or a man is widowed (Code 5) if the spouse has died.<br />--If a widow has remarried, record her/him as Married (Code 2).<br />--If a man has remarried - Record him as Married (Code 2).<br />--Remember to record Code 1 for children, or anyone obviously never married.<br />--If a couple is apart for a long time, or if one is far away, (e.g. working in another province), they are still married (Code 2) unless they have decided that their marriage has ended. Separated in the codes does not mean separated by distances.</div> Papua New Guinea 2000: All persons This variable indicates the person's marital status. 1 Never married 2 Married 3 Separated 4 Divorced 5 Widowed 9 Unknown Demographic Variables -- PERSON Religion <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>6. What church/religion does the person belong to? </p> <div class="i1">____ _ _</div> <span class="h3">Questions on Personal Characteristics</span> <br />Questions 1 to 7 provide information on personal characteristics such as age, sex, marital status and religion. They help us to plan for the needs of communities.</p> <p><span class="em">Question 6: Religion</span> <br />Religion affects the way people chose to live. We need to know how many people in each religion or church.</p> <p><span class="em">Q6. What Church/Religion does the person belong to? </span>____</p> <p><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>Every person in each household.</p> <p><span class="em">How to ask: </span> <br />"What church or religion does the person belong to? "There are cases where members of households belong to different church/religious groups. You may have to ask every member of the household. Never assume that everybody in the household belongs to the same church as the head of household.</p> <p>Also, do not assume that everyone in the village belongs to same religious group or church. There are pockets of households and individuals in some areas who may have different religious beliefs. These are quite common in urban areas where increases in numbers of other religions have occurred in recent times.</p> <p><span class="em">How to record: </span> <br />In the space provided write the name of the church/religion, which the person says he/she belongs to. For example a lady says she's a Lutheran, you write Lutheran Church and not L.C. for short.</p> <div class="i1">-If the person does not belong to a church or religion, write None.<br />-Christian is not clear. Ask which church the person belongs to (Anglicans, Catholics, Baptist or other )<br />-Do not write in the boxes.</div> Papua New Guinea 2000: All persons This variable indicates the religion of a person. 00 None 01 Anglican 02 Evangelical Brotherhood 03 South Seas 04 Church of Papua 05 Wesleyan Church 06 Church of Manus 07 Lutheran 08 Gutnius Lutheran 09 Roman Catholic 10 Salvation Army 11 Seventh Day Adventist 12 United Church 13 Kwato Church 14 Assembly of God 15 Revival Crusade 16 Life Center 17 Lighthouse church 18 Four Square Gospel 19 Rhema Fellowship 20 Wewak Fellowship 21 Other Pentecostal 22 Baptist 24 Sepik Baptist 25 Sovereign Grace 27 Western Highland 28 Apostolic Church 29 Asia Pacific 30 Asutalian Church 32 Brethern Church 33 Many lands 34 Union Mission 35 Nazarene 36 Faith mission 38 Independent 40 New Life Mission 41 New Tribes 42 Paliau (Makasol) 43 Plymouth Brethern 45 Tiliba Mission 46 Village Mission 49 Other Christian 70 Bahai of Papua New Guinea 71 Buddhism 72 Church of Christ 73 Islam 74 Jehovah Witness 76 Hindu 79 Other religion 99 Unknown Ethnicity and Language Variables -- PERSON Mother still alive <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>7. Is the person's own mother still alive?</p> <div class="i1">If "Yes" and mother is in this house, enter mother's person number in the boxes. Enter "00" if mother is not in this house.<br /><br />[] 1 Yes<br />[] 2 No<br />Mother's person number _ _</div> <span class="h3">Questions on Personal Characteristics</span> <br />Questions 1 to 7 provide information on personal characteristics such as age, sex, marital status and religion. They help us to plan for the needs of communities.</p> <p><span class="em">Question 7: Survival of own mother.</span> <br />This question is used to find out how long people live. The information needed is about the natural mother, not the adopted mother. The Mother's Person number is needed so we can work out the mother's age. This information is important to find out health and social needs.</p> <p><span class="em">Q7. Is the person's mother still alive? </span> <br /><span class="ital">(If "Yes" and mother in this house, enter mother's person number in the boxes. Enter "00" if mother not in this household)</span><div class="i1">Yes<br />No<br />Mother's Person number _ _</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>Every person in each household.</p> <p><span class="em">How to ask: </span> <br />"Is your/his/her own mother still alive?" Remember, this question is about the person's own biological or natural mother, not their adopted mother. You must ask if the person's own mother is alive, and whether or not the mother is in the same household. <br />If the answer is "yes", ask "Is your/his/her own mother living in this household?"</p> <p><span class="em">How to record: </span> <br />Write the code 1 "Yes" (alive) or 2 "No" (not alive) in the first box.</p> <div class="i1">-If the response is Yes (Code 1), and the mother lives in the household, fill in the mother's person number in the two boxes below.<br />-If the mother is alive but does not live in the household, enter 00 in the two boxes.<br />-If the response is "No" (Code 2, not alive), do not write in the mothers person number in the two boxes provided.</div> Papua New Guinea 2000: All persons This variable indicates whether a person's mother is still alive. 1 Yes 2 No 9 Unknown Fertility and Mortality Variables -- PERSON Mother person number <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>7. Is the person's own mother still alive?</p> <div class="i1">If "Yes" and mother is in this house, enter mother's person number in the boxes. Enter "00" if mother is not in this house.<br /><br />[] 1 Yes<br />[] 2 No<br />Mother's person number _ _</div> <span class="h3">Questions on Personal Characteristics</span> <br />Questions 1 to 7 provide information on personal characteristics such as age, sex, marital status and religion. They help us to plan for the needs of communities.</p> <p><span class="em">Question 7: Survival of own mother.</span> <br />This question is used to find out how long people live. The information needed is about the natural mother, not the adopted mother. The Mother's Person number is needed so we can work out the mother's age. This information is important to find out health and social needs.</p> <p><span class="em">Q7. Is the person's mother still alive? </span> <br /><span class="ital">(If "Yes" and mother in this house, enter mother's person number in the boxes. Enter "00" if mother not in this household)</span><div class="i1">Yes<br />No<br />Mother's Person number _ _</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>Every person in each household.</p> <p><span class="em">How to ask: </span> <br />"Is your/his/her own mother still alive?" Remember, this question is about the person's own biological or natural mother, not their adopted mother. You must ask if the person's own mother is alive, and whether or not the mother is in the same household. <br />If the answer is "yes", ask "Is your/his/her own mother living in this household?"</p> <p><span class="em">How to record: </span> <br />Write the code 1 "Yes" (alive) or 2 "No" (not alive) in the first box.</p> <div class="i1">-If the response is Yes (Code 1), and the mother lives in the household, fill in the mother's person number in the two boxes below.<br />-If the mother is alive but does not live in the household, enter 00 in the two boxes.<br />-If the response is "No" (Code 2, not alive), do not write in the mothers person number in the two boxes provided.</div> Papua New Guinea 2000: Persons whose mothers are alive [discrepancies: type I trace; type II none] This variable indicates the mother person number within the household if she is alive and living in the household. 00 Mother not in the house 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 34 34 37 37 40 40 42 42 43 43 48 48 56 56 58 58 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Country or province of birth <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>8. Where was the person born?</p> <div class="i1">If not Papua New Guinea, write country name.<br /><br />_ _Province/country <br />_ _District</div> <span class="h3">Questions on Migration</span> <br />The next set of questions (Question 8-10) give information on movement of people from one place to another. Information on movement of people is useful to plan for people's needs such as health, education, and employment.</p> <p><span class="em">Question 8. Place of Birth<br /><br />Q8. Where was the person born?</span> <br /><span class="ital">(Give country if born outside PNG)</span><div class="i1">Province / Country ____<br />District ____</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>Every person in each household.</p> <p><span class="em">How to ask: Can you tell me where you were born, he/she was born? </span><div class="i1">-Some people will not be able to name the district where they were born. List of provinces divided by districts is in appendix 4. If the respondent does not know his/her district of birth, you go to the person's province of birth and read the names of districts to the person.<br />-If districts cannot be determined, give best information available.<br />-Write the country, if born outside PNG. Leave District blank.</div><span class="em">How to record: </span> <br />Make sure you record the names of the province and district in which the person's mother was living at the time of his/her birth. <br />If the person was born outside PNG, write the name of the country of birth in the space marked for Province, and leave District blank. <br />Do not write in the two boxes, as they are needed later for office use.</p> <p>Note: The space for you to write names of province/district/country is limited so please write clearly and neatly. Papua New Guinea 2000: All persons This variable indicates the place of birth of a person. 01 Western 02 Gulf 03 Central 04 National Capital District 05 Milnebay 06 Northern 07 South Highlands 08 Enga 09 West Highlands 10 Simbu 11 East Highlands 12 Morobe 13 Madang 14 East Sepik 15 West Sepik 16 Manus 17 New Ireland 18 East New Britain 19 West New Britain 20 North Solomons 22 Australia 23 New Zealand 26 Solomon Islands 29 Other Pacific countries 34 Sri Lanka 35 China 37 India 38 Indonesia 40 Malaysia 42 Philippines 49 Other Asian countries 60 United Kingdom 69 Other European countries 79 Africa 89 America 99 Unknown Nativity and Birthplace Variables -- PERSON District or country of birth <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>8. Where was the person born?</p> <div class="i1">If not Papua New Guinea, write country name.<br /><br />_ _Province/country <br />_ _District</div> <span class="h3">Questions on Migration</span> <br />The next set of questions (Question 8-10) give information on movement of people from one place to another. Information on movement of people is useful to plan for people's needs such as health, education, and employment.</p> <p><span class="em">Question 8. Place of Birth<br /><br />Q8. Where was the person born?</span> <br /><span class="ital">(Give country if born outside PNG)</span><div class="i1">Province / Country ____<br />District ____</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>Every person in each household.</p> <p><span class="em">How to ask: Can you tell me where you were born, he/she was born? </span><div class="i1">-Some people will not be able to name the district where they were born. List of provinces divided by districts is in appendix 4. If the respondent does not know his/her district of birth, you go to the person's province of birth and read the names of districts to the person.<br />-If districts cannot be determined, give best information available.<br />-Write the country, if born outside PNG. Leave District blank.</div><span class="em">How to record: </span> <br />Make sure you record the names of the province and district in which the person's mother was living at the time of his/her birth. <br />If the person was born outside PNG, write the name of the country of birth in the space marked for Province, and leave District blank. <br />Do not write in the two boxes, as they are needed later for office use.</p> <p>Note: The space for you to write names of province/district/country is limited so please write clearly and neatly. Papua New Guinea 2000: All persons This variable indicates the district of birth of a person. 0101 Middle Fly 0102 North Fly 0103 South Fly 0199 Western province, district unknown 0201 Kerema 0202 Kikori 0299 Gulf province, district unknown 0301 Abau 0302 Goilala 0303 Kairuku-Hiri 0304 Rigo 0399 Central province, district unknown 0401 National Capital District 0501 Alotau 0502 Esa'ala 0503 Kiriwina-Goodenough 0504 Samarai-Murua 0599 Milne Bay province, district unknown 0601 Ijivitari 0602 Sohe 0699 Northern province, district unknown 0701 Ialibu or Pangia 0702 Imbongu 0703 Kagua or Erave 0704 Komo or Magarima 0705 Koroba or Kopiago 0706 Mendi 0707 Nipa or Kutubu 0708 Tari 0799 Southern Highlands province, district unknown 0801 Kandep 0802 Kompiam or Ambum 0803 Lagaip or Porgera 0804 Wabag 0805 Wapenamanda 0899 Enga province, district unknown 0901 Anglimp or South Waghi 0902 Dei 0903 Hagen Central 0904 Jimi 0905 Mul Baiyer 0906 North Waghi 0907 Tambul 0999 Western Highlands province, district unknown 1001 Chuave 1002 Giumine 1003 Karimui or Nomane 1004 Kerowagi 1005 Kundiawa 1006 Sinasina or Yongomugl 1099 Chimbu province, district unknown 1101 Daulo 1102 Goroka 1103 Henganofi 1104 Kainantu 1105 Lufa 1106 Obura or Wonenara 1107 Okapa 1108 Unggai-Bena 1199 Eastern Highlands province, district unknown 1201 Bulolo 1202 Finschaffen 1203 Huon 1204 Kabwum 1205 Lae (Lae or Huon or Nawae) 1206 Markham 1207 Menyamya 1208 Nawae 1209 Tewae-Siassi 1299 Morobe province, district unknown 1301 Bogia 1302 Madang 1303 Middle Ramu 1304 Rai Coast 1305 Sumkar 1306 Usino or Bundi 1399 Madang province, district unknown 1401 Ambunti or Drekikir 1402 Angoram 1403 Maprik 1404 Wewak 1405 Wosera or Gawi 1406 Yangoru or Sausia 1499 East Sepik province, district unknown 1501 Aitape or Lumi 1502 Nuku 1503 Telefomin 1504 Vanimo or Green River 1599 West Sepik province, district unknown 1601 Manus 1699 Manus province, district unknown 1701 Kavieng 1702 Namatanai 1799 New Ireland province, district unknown 1801 Gazelle 1802 Kokopo 1803 Pomio 1804 Rabaul 1899 East new Britain province, district unknown 1901 Kandrian or Glouster 1902 Talasea 1999 West New Britain province, district unknown 2001 Buka 2002 Buin 2003 Kieta 2099 North Solomons province, district unknown 2200 Australia 2300 New Zealand 2600 Solomon Islands 2900 Other Pacific country 3400 Sri Lanka 3500 China 3700 India 3800 Indonesia 4000 Malaysia 4200 Philippines 4900 Other Asian countries 6000 United Kingdom 6900 Other European countries 7900 Africa 8900 America 9999 Unknown Nativity and Birthplace Variables -- PERSON Duration of residence in district or town <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>9. How long has the person lived in this district/town?</p> <div class="i1">If "other" give number of years lived here. If less than one year enter "00" in the boxes.<br /><br />[] 1 Continuously since birth<br />[] 2 Other<br />Number of years lived here _ _</div> <span class="h3">Questions on Migration</span> <br />The next set of questions (Question 8-10) give information on movement of people from one place to another. Information on movement of people is useful to plan for people's needs such as health, education, and employment.</p> <p><span class="em">Question 9: Duration of residence<br /><br />Q9. How long has the person lived in this district/town? </span> <br /><span class="ital">(If "Other", give number of years lived here. If less than one year, enter 00 in the boxes.)</span><div class="i1">1. Continuously since birth _<br />2. Other:</div><div class="i2">Number of years lived _ _</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for:</span> Every person in each household.</p> <p><span class="em">How to ask: </span>Ask "How many years have you lived here?"</p> <p><span class="em">How to record: </span>If the person was born here and has always lived here, enter Code 1 (continuously since birth)</p> <div class="i1">-If the person was not born in here, enter Code 2 (other).<br />-Then enter the number of years the person has lived here.<br />-If less than 1 year write 00 into the two boxes for year/<br />-If other number less than 10, put a zero in the first box and the number in the second box. For example, for 5 years, write "05".<br />-For persons born where you are interviewing but who have been away, record the period since they last returned until the day of interviewing.<br />-Some people move often. We only want to know about the most recent move to this place.<br />-Short visits to other people, to give birth, to enroll a child in a school, for a holiday, or a family visit should be ignored in calculation of the number of years. These are not migrants.</div> Papua New Guinea 2000: All persons This variable indicates how long the person has lived in their current residence. 1 Continuous since birth 2 Moved from other location 9 Unknown Nativity and Birthplace Variables -- PERSON Duration of residence in years <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>9. How long has the person lived in this district/town?</p> <div class="i1">If "other" give number of years lived here. If less than one year enter "00" in the boxes.<br /><br />[] 1 Continuously since birth<br />[] 2 Other<br />Number of years lived here _ _</div> <span class="h3">Questions on Migration</span> <br />The next set of questions (Question 8-10) give information on movement of people from one place to another. Information on movement of people is useful to plan for people's needs such as health, education, and employment.</p> <p><span class="em">Question 9: Duration of residence<br /><br />Q9. How long has the person lived in this district/town? </span> <br /><span class="ital">(If "Other", give number of years lived here. If less than one year, enter 00 in the boxes.)</span><div class="i1">1. Continuously since birth _<br />2. Other:</div><div class="i2">Number of years lived _ _</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for:</span> Every person in each household.</p> <p><span class="em">How to ask: </span>Ask "How many years have you lived here?"</p> <p><span class="em">How to record: </span>If the person was born here and has always lived here, enter Code 1 (continuously since birth)</p> <div class="i1">-If the person was not born in here, enter Code 2 (other).<br />-Then enter the number of years the person has lived here.<br />-If less than 1 year write 00 into the two boxes for year/<br />-If other number less than 10, put a zero in the first box and the number in the second box. For example, for 5 years, write "05".<br />-For persons born where you are interviewing but who have been away, record the period since they last returned until the day of interviewing.<br />-Some people move often. We only want to know about the most recent move to this place.<br />-Short visits to other people, to give birth, to enroll a child in a school, for a holiday, or a family visit should be ignored in calculation of the number of years. These are not migrants.</div> Papua New Guinea 2000: Persons who moved to this district since birth [discrepancies: type I trace; type II trace] This variable indicates the person's duration of residence in years. 00 Less than 1 year 01 1 year 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60+ 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Country of citizenship <span class="em">For all persons</span> <br />[Questions 1-10 were asked of all persons.]</p> <p>10. What is the person's citizenship?</p> <div class="i1">_ _</div> <span class="h3">Questions on Migration</span> <br />The next set of questions (Question 8-10) give information on movement of people from one place to another. Information on movement of people is useful to plan for people's needs such as health, education, and employment.</p> <p><span class="em">Question 10. Citizenship</span> <br />This question is to tell us how many PNG citizens and how many non-citizens there are in PNG.</p> <p><span class="em">Q10. What is the person's citizenship? </span>_ _</p> <p><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>Every person in each household.</p> <p><span class="em">How to ask: </span>If the person is obviously a PNG citizen by appearance and/or place of residence (rural), it may not be necessary to actually ask this question.</p> <div class="i1">-Non-citizens are more common in urban areas and some border provinces such as Sandaun, Western and Bouganville. In such places you need to ask the question on citizenship. You simply ask "What is the person's citizenship?" (not "Where were you born?"), or you can ask, "What passport do you/he/she carry?".<br />-Ask all people who seem to be expatriates "What passport do you/he/she carry? ".</div><span class="em">How to record:</span><div class="i1">-Write down the name of the country the person tells you.<br />-Write PNG for PNG citizens.<br />-If any person is a citizen of two countries, record the citizenship the person chooses.</div> Papua New Guinea 2000: All persons This variable indicates the person's country of citizenship. 21 Papua New Guinea 22 Australia 23 New Zealand 26 Solomon Islands 29 Other Pacific country 32 Laos 34 Sri Lanka 35 China 37 India 38 Indonesia 40 Malaysia 42 Philippines 49 Other Asian countries 60 United Kingdom 69 Other European countries 79 Africa 89 America 98 Other country, not elsewhere specified Nativity and Birthplace Variables -- PERSON School attendance <span class="em">Continue only for persons aged 5 years or more</span> <br />[Questions 11-12 were asked of persons age 5+.]</p> <p>11. Is the person attending any formal schooling now?</p> <div class="i1">[] 1 Yes<br />[] 2 No- attended in the past<br />[] 3 No- never attended</div> <span class="h3">Questions on Education</span> <br />The next four questions are on education and literacy. Information on education and literacy is important because it tells us how many people have attended school and helps us plan for the education needs of the community in the future.</p> <p><span class="em">Question 11: School attendance</span> <br />This question is about the number of persons over the age of 5 years who are currently attending school and those who are not at school.</p> <p><span class="em">Q11. Is the person attending any formal schooling now? </span><div class="i1">[] 1. Yes.<br />[] 2. No, attended in past.<br />[] 3. Never attended.</div><span class="em">Who to ask</span>: Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for</span>: All persons 5 years and older. That is, all persons born before 9 July 1995. If date of birth is not recorded, use age given in years.</p> <p><span class="em">How to ask: </span> "Are you/ Is he/she attending any formal schooling now?"</p> <p><span class="em">How to record</span>:</p> <div class="i1">Write a code number in the box beside the answer.<br />Code 1 is for persons who are attending formal school full-time.<br />Code 1 is also for persons who are enrolled in school but are not attending because of illness, school holidays or other reasons.<br />Code 2 is for persons who have attended a school in the past.<br />Code 3 is for those who have never attended school.</div><div class="i2">-This question is only about attendance at a formal school. Formal education grades are Grade 01 to Grade 12.<br />-Do not record attendance at Vocational, Tokples, Bible School, or Correspondence courses.<br />-The census is being conducted during the school holidays; so many students will not be in school. If they usually attend school, record them as Code 1 (Yes).</div> Papua New Guinea 2000: Persons age 5+ [discrepancies: type I none; type II 0.1%] This variable indicates whether or not a person attended school. 1 Yes 2 No, attended in the past 3 Never attended 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Highest grade completed <span class="em">Continue only for persons aged 5 years or more</span> <br />[Questions 11-12 were asked of persons age 5+.]</p> <p>12. What is the highest formal education grade [the respondent] completed?</p> <div class="i1">_ _</div> <span class="h3">Questions on Education</span> <br />The next four questions are on education and literacy. Information on education and literacy is important because it tells us how many people have attended school and helps us plan for the education needs of the community in the future.</p> <p><span class="em">Question 12: Educational Attainment</span> <br />This question is about the level of education people have completed.</p> <p><span class="em">Q12. What is the highest formal educational grade completed? </span> <br />____ _ _</p> <p><span class="em">Who to ask: </span>As the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span> <br />All persons 5 years and older. That is, all persons born before 9 July 1995. If date of birth is not recorded, use age given in years. <br />Person who were given code 1 and 2 in Q11.</p> <p><span class="em">How to ask: </span> "What is the highest grade/level of education that the person has completed?"</p> <p><span class="em">How to record:</span> Write the highest grade completed in the two boxes, Formal education grades are Grade 01 to Grade 2. For example, for Grade 5 write "05".</p> <div class="i1">-Write "00" for no schooling, or no grades completed.<br />-Record only the grades completed. If they are still at school, do not include the grade the person is in now. For example: Ila is in Grade 9 this year. He completed Grade 8 last year, so write "08" in the code boxes.<br />-In most cases you will not need to write anything in the space provided before the boxes.<br />-If the person was educated overseas, write the highest level achieved in the blank space provided (e.g., high school).<br />-Then write the number of years of schooling in the two boxes.<br />-Write "00" for persons who have never attended school and those who are in their first year of formal school, attending pre-schools, elementary or Tok Ples schools.<br />-Only write the highest grade completed in the formal school system. Do not include education after leaving high school. For example, if a person completed Grade 10 before completing a computer correspondence course, write 10 in the box.</div><p>Note: Record the grade completed and not the grade he/she doing now. Papua New Guinea 2000: Persons age 5+ who attended school [discrepancies: Type I 0.1%; type II trace] This variable indicates the highest grade that a person completed. 00 None 01 Grade 1 02 Grade 2 03 Grade 3 04 Grade 4 05 Grade 5 06 Grade 6 07 Grade 7 08 Grade 8 09 Grade 9 10 Grade 10 11 Grade 11 12 Grade 12 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Completion of certificate, diploma, or degree <span class="em">Continue only for persons aged 10 years or more</span> <br />[Questions 13-19 were asked of persons age 10+.]</p> <p>13. Has the person completed a certificate, diploma or a university degree, or any other educational qualification since leaving school?</p> <div class="i1">If yes specify level and subject of qualification in the space provided.<br /><br />[] 1 Yes<br />[] 2 No<br />Subject and level _ _</div> <span class="h3">Questions on Education</span> <br />The next four questions are on education and literacy. Information on education and literacy is important because it tells us how many people have attended school and helps us plan for the education needs of the community in the future.</p> <p><span class="em">Question 13. Training and Qualification</span> <br />This question is about skills, training and qualifications received after leaving school.</p> <p><span class="em">Q13. Has the person completed a certificate, diploma or university degree or any other educational qualification since leaving school?</span> <br /><span class="ital">(If yes, specify level and subject of qualification, in the space provided.)</span><div class="i1">[] 1. Yes ____<br />[] 2. No</div><span class="em">Who to ask:</span> Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for:</span> All persons 10 years and older. That is, all persons born before 9 July 1990. If date of birth is not recorded, use age given in years.</p> <p><span class="em">How to ask: </span> "Have you/ has he/she completed a certificate, diploma or a university degree or any other educational qualification since leaving school?"</p> <p><span class="em">How to record:</span><div class="i1">Write in the space the name of the training/qualification the person completed since leaving school. For Example: Certificate in Carpentry; Diploma in Accounting.<br />Do not write in the boxes, these are for office use.<br /><br />Some people might confuse Certificate with a Grade 6, 8, 10 or 12 Certificate. Do not include Grade certificates here. This question is only about qualifications after leaving school.</div><p>Note: The training period should be at least three (3) months full time or more to be recorded. Any training which lasted less than three months should not be recorded. Papua New Guinea 2000: Persons age 10+ [discrepancies: type I none; type II 0.1%] This variable indicates whether a person attained a certification of qualification. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Qualification completed <span class="em">Continue only for persons aged 10 years or more</span> <br />[Questions 13-19 were asked of persons age 10+.]</p> <p>13. Has the person completed a certificate, diploma or a university degree, or any other educational qualification since leaving school?</p> <div class="i1">If yes specify level and subject of qualification in the space provided.<br /><br />[] 1 Yes<br />[] 2 No<br />Subject and level _ _</div> <span class="h3">Questions on Education</span> <br />The next four questions are on education and literacy. Information on education and literacy is important because it tells us how many people have attended school and helps us plan for the education needs of the community in the future.</p> <p><span class="em">Question 13. Training and Qualification</span> <br />This question is about skills, training and qualifications received after leaving school.</p> <p><span class="em">Q13. Has the person completed a certificate, diploma or university degree or any other educational qualification since leaving school?</span> <br /><span class="ital">(If yes, specify level and subject of qualification, in the space provided.)</span><div class="i1">[] 1. Yes ____<br />[] 2. No</div><span class="em">Who to ask:</span> Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for:</span> All persons 10 years and older. That is, all persons born before 9 July 1990. If date of birth is not recorded, use age given in years.</p> <p><span class="em">How to ask: </span> "Have you/ has he/she completed a certificate, diploma or a university degree or any other educational qualification since leaving school?"</p> <p><span class="em">How to record:</span><div class="i1">Write in the space the name of the training/qualification the person completed since leaving school. For Example: Certificate in Carpentry; Diploma in Accounting.<br />Do not write in the boxes, these are for office use.<br /><br />Some people might confuse Certificate with a Grade 6, 8, 10 or 12 Certificate. Do not include Grade certificates here. This question is only about qualifications after leaving school.</div><p>Note: The training period should be at least three (3) months full time or more to be recorded. Any training which lasted less than three months should not be recorded. Papua New Guinea 2000: Persons age 10+ who attained a certification [discrepancies: type I trace; type II 0.1%] This variable indicates the type of qualification a person attained. 01 Police certificate, no field stated 02 Defence certificate 03 Correctional institution services office 09 Firefighters and other protective services (body guards, security firms eg, securimax protect) 10 Vocational certificate, no field stated 11 Vocational certificate, mechanic 12 Vocational certificate, spray, painting 13 Vocational certificate, plumbing 14 Vocational certificate, carpentry and joinery 18 Vocational certificate, cooking, home economics 19 Vocational certificate, other 20 Technical certificate, no field stated 21 Technical certificate, mechanic 22 Technical certificate, spry, painting 24 Technical certificate, electrical 26 Technical certificate, machine fitter 27 Technical certificate, metalwork 29 Technical certificate, other 30 Tradesman or apprenticeship, no field stated 31 Tradesman or apprenticeship, mechanic 32 Tradesman or apprenticeship, electrician 33 Tradesman or apprenticeship, plumber 34 Tradesman or apprenticeship, welder 36 Tradesman or apprenticeship, carpenter and joiner 39 Tradesman or apprenticeship, other 40 Business and secretarial college, no field stated 41 Certificate, accounting 42 Certificate, bookkeeping 43 Certificate, computing 44 Certificate, secretarial studies 45 Certificate or diploma, banking, finance, insurance 46 Diploma, accounting or bookkeeping 48 Diploma, business administration 49 Business and secretarial college, other 50 Teacher's college, no field stated 51 Teachers certificate, elementary 52 Teachers certificate, primary 53 Teachers certificate, secondary 57 Teachers diploma, secondary 59 Teachers college, other 60 Health college, no field stated 61 Health certificate, general nursing 62 Health certificate, specialist nursing 63 Health certificate, health extension 64 Health certificate, laboratory technician 69 Health college, other 70 University or public administration, no field stated 71 Certificate, agriculture 72 Certificate, computing 73 Certificate, other 75 Diploma, agriculture 76 Diploma, business and administration 79 University certificate or diploma, other 80 University degree, no field stated 81 Architecture and building 82 Business management 83 Education 84 Engineering, surveying and cartography 85 Law 86 Medicine 87 Science and agriculture 88 Social science and humanities 89 University degree, other 90 Other miscellaneous awards, no field stated 92 Hospitality 94 Transport, air 95 Transport, sea 97 Bible courses 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Literate in English <span class="em">Continue only for persons aged 10 years or more</span> <br />[Questions 13-19 were asked of persons age 10+.]</p> <p>14. Which languages can the person read and write with understanding?</p> <div class="i1">English</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Pidgin</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Motu</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Tokples</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Questions on Education</span> <br />The next four questions are on education and literacy. Information on education and literacy is important because it tells us how many people have attended school and helps us plan for the education needs of the community in the future.</p> <p><span class="em">Question 14: Literacy.</span> <br />This question is about whether or not people can read and write with understanding.</p> <p><span class="em">Q14. Which languages can the person read and write with understanding?</span><div class="i1">[] English: 1. Yes; 2. No<br />[] Pidgin: 1. Yes; 2. No<br />[] Motu: 1. Yes; 2. No<br />[] Tokples: 1. Yes; 2. No</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>All persons 10 years and older. That is, all persons born before 9 July 1990. If date of birth is not recorded, use age in given years.</p> <p><span class="em">How to ask: </span> "Which of the following can you/he/she read and write with understanding?"</p> <div class="i1">-This question is not about spoken language but about reading and writing with understanding.<br />-That is, not just saying or copying the words, but understanding what is written and able to write.</div><span class="em">How to record: </span>Write "1" for "Yes", or "2" for "No" in the box beside each language.</p> <div class="i1">-If the person reads and write English with understanding, write 1 in the box beside English.<br />-If the person speaks <span class="lang">Tok Ples </span>but does not read or write it, write 2 for "No".<br />-Write the correct codes beside each language, English, Pidgin, Motu and <span class="lang">Tok Ples.</span><br />-Tokples is same as mother tounge. For example, if Motu or French is spoken, it must be recorded as <span class="lang">Tokples.</span></div><p>Note: A person is considered to be able to read and write a language only if he or she can both read and write with understanding, a short simple letter or message in that language. A person who can only read and write figures or his name, or memorize a phrase should not be considered as able to read and write with understanding.</p> <p>People may be sensitive about this, so after explaining what the question means, the interviewer should accept the person's word without further questioning. Papua New Guinea 2000: Persons age 10+ [discrepancies: type I none; type II trace] This variable indicates whether the person can read and write in English with understanding. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Literate in Pidgin <span class="em">Continue only for persons aged 10 years or more</span> <br />[Questions 13-19 were asked of persons age 10+.]</p> <p>14. Which languages can the person read and write with understanding?</p> <div class="i1">English</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Pidgin</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Motu</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Tokples</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Questions on Education</span> <br />The next four questions are on education and literacy. Information on education and literacy is important because it tells us how many people have attended school and helps us plan for the education needs of the community in the future.</p> <p><span class="em">Question 14: Literacy.</span> <br />This question is about whether or not people can read and write with understanding.</p> <p><span class="em">Q14. Which languages can the person read and write with understanding?</span><div class="i1">[] English: 1. Yes; 2. No<br />[] Pidgin: 1. Yes; 2. No<br />[] Motu: 1. Yes; 2. No<br />[] Tokples: 1. Yes; 2. No</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>All persons 10 years and older. That is, all persons born before 9 July 1990. If date of birth is not recorded, use age in given years.</p> <p><span class="em">How to ask: </span> "Which of the following can you/he/she read and write with understanding?"</p> <div class="i1">-This question is not about spoken language but about reading and writing with understanding.<br />-That is, not just saying or copying the words, but understanding what is written and able to write.</div><span class="em">How to record: </span>Write "1" for "Yes", or "2" for "No" in the box beside each language.</p> <div class="i1">-If the person reads and write English with understanding, write 1 in the box beside English.<br />-If the person speaks <span class="lang">Tok Ples </span>but does not read or write it, write 2 for "No".<br />-Write the correct codes beside each language, English, Pidgin, Motu and <span class="lang">Tok Ples.</span><br />-Tokples is same as mother tounge. For example, if Motu or French is spoken, it must be recorded as <span class="lang">Tokples.</span></div><p>Note: A person is considered to be able to read and write a language only if he or she can both read and write with understanding, a short simple letter or message in that language. A person who can only read and write figures or his name, or memorize a phrase should not be considered as able to read and write with understanding.</p> <p>People may be sensitive about this, so after explaining what the question means, the interviewer should accept the person's word without further questioning. Papua New Guinea 2000: Persons age 10+ [discrepancies: type I none; type II trace] This variable indicates whether the person can read and write with understanding in Pidgin. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Literate in Motu <span class="em">Continue only for persons aged 10 years or more</span> <br />[Questions 13-19 were asked of persons age 10+.]</p> <p>14. Which languages can the person read and write with understanding?</p> <div class="i1">English</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Pidgin</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Motu</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Tokples</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Questions on Education</span> <br />The next four questions are on education and literacy. Information on education and literacy is important because it tells us how many people have attended school and helps us plan for the education needs of the community in the future.</p> <p><span class="em">Question 14: Literacy.</span> <br />This question is about whether or not people can read and write with understanding.</p> <p><span class="em">Q14. Which languages can the person read and write with understanding?</span><div class="i1">[] English: 1. Yes; 2. No<br />[] Pidgin: 1. Yes; 2. No<br />[] Motu: 1. Yes; 2. No<br />[] Tokples: 1. Yes; 2. No</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>All persons 10 years and older. That is, all persons born before 9 July 1990. If date of birth is not recorded, use age in given years.</p> <p><span class="em">How to ask: </span> "Which of the following can you/he/she read and write with understanding?"</p> <div class="i1">-This question is not about spoken language but about reading and writing with understanding.<br />-That is, not just saying or copying the words, but understanding what is written and able to write.</div><span class="em">How to record: </span>Write "1" for "Yes", or "2" for "No" in the box beside each language.</p> <div class="i1">-If the person reads and write English with understanding, write 1 in the box beside English.<br />-If the person speaks <span class="lang">Tok Ples </span>but does not read or write it, write 2 for "No".<br />-Write the correct codes beside each language, English, Pidgin, Motu and <span class="lang">Tok Ples.</span><br />-Tokples is same as mother tounge. For example, if Motu or French is spoken, it must be recorded as <span class="lang">Tokples.</span></div><p>Note: A person is considered to be able to read and write a language only if he or she can both read and write with understanding, a short simple letter or message in that language. A person who can only read and write figures or his name, or memorize a phrase should not be considered as able to read and write with understanding.</p> <p>People may be sensitive about this, so after explaining what the question means, the interviewer should accept the person's word without further questioning. Papua New Guinea 2000: Persons age 10+ [discrepancies: type I none; type II trace] This variable indicates whether the person can read and write with understanding in Motu. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Literate in other language <span class="em">Continue only for persons aged 10 years or more</span> <br />[Questions 13-19 were asked of persons age 10+.]</p> <p>14. Which languages can the person read and write with understanding?</p> <div class="i1">English</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Pidgin</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Motu</div><div class="i2">[] 1 Yes<br />[] 2 No</div><div class="i1">Tokples</div><div class="i2">[] 1 Yes<br />[] 2 No</div> <span class="h3">Questions on Education</span> <br />The next four questions are on education and literacy. Information on education and literacy is important because it tells us how many people have attended school and helps us plan for the education needs of the community in the future.</p> <p><span class="em">Question 14: Literacy.</span> <br />This question is about whether or not people can read and write with understanding.</p> <p><span class="em">Q14. Which languages can the person read and write with understanding?</span><div class="i1">[] English: 1. Yes; 2. No<br />[] Pidgin: 1. Yes; 2. No<br />[] Motu: 1. Yes; 2. No<br />[] Tokples: 1. Yes; 2. No</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>All persons 10 years and older. That is, all persons born before 9 July 1990. If date of birth is not recorded, use age in given years.</p> <p><span class="em">How to ask: </span> "Which of the following can you/he/she read and write with understanding?"</p> <div class="i1">-This question is not about spoken language but about reading and writing with understanding.<br />-That is, not just saying or copying the words, but understanding what is written and able to write.</div><span class="em">How to record: </span>Write "1" for "Yes", or "2" for "No" in the box beside each language.</p> <div class="i1">-If the person reads and write English with understanding, write 1 in the box beside English.<br />-If the person speaks <span class="lang">Tok Ples </span>but does not read or write it, write 2 for "No".<br />-Write the correct codes beside each language, English, Pidgin, Motu and <span class="lang">Tok Ples.</span><br />-Tokples is same as mother tounge. For example, if Motu or French is spoken, it must be recorded as <span class="lang">Tokples.</span></div><p>Note: A person is considered to be able to read and write a language only if he or she can both read and write with understanding, a short simple letter or message in that language. A person who can only read and write figures or his name, or memorize a phrase should not be considered as able to read and write with understanding.</p> <p>People may be sensitive about this, so after explaining what the question means, the interviewer should accept the person's word without further questioning. Papua New Guinea 2000: Persons age 10+ [discrepancies: type I none; type II trace] This variable indicates whether the person can read and write with understanding in another language. 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Ethnicity and Language Variables -- PERSON Class of work (last 7 days) <span class="em">Continue only for persons aged 10 years or more</span> <br />[Questions 13-19 were asked of persons age 10+.]</p> <p>15. In the last seven days, has the person done any of the following?</p> <div class="i1">If more than one answer is given record main activity.<br /><br />[] 1 Gardening/fishing for money<br />[] 2 Gardening/fishing for own use only<br />[] 3 Business (any type) with paid help<br />[] 4 Business (any type) without paid help<br />[] 5 Helping in family business without pay<br />[] 6 Wage job (including temporary absence)<br />[] 7 None [continue to Question 18.]</div> <span class="h3">Economic questions</span></p> <p>The economic questions are an important part of the census form. The economic questions for each person over 10 years are in Question 15 to 19. <br />The census provides the chance for us to find out what kind of work people do. Work that earns some income or helps to support the family, such as growing food, is called "economic activity". Some people are not economically active. On the information collected, community needs can be identified. Better plans can be in place.</p> <p><span class="em">Question 15: Economic activity<br /><br />Q15. In the last seven days, has the person done any of the following?</span> <br /><span class="ital">(If more than one answer is given, record main activity<br />If code 7 "None": go to question 18.)</span><div class="i1">[] 1. Gardening/Fishing for money<br />[] 2. Gardening/Fishing for own use<br />[] 3. Business (any type) with paid help<br />[] 4. Business (any type) with no paid help<br />[] 5. Help in family business with no pay<br />[] 6. Wage job (include temporary absence)<br />[] 7. None (Go to Q18).</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>All persons 10 years and older. That is, all persons born before 9 July 1990. If date of birth is not recorded, use age given in years.</p> <p><span class="em">How to ask: </span> "In the last seven days, has the person done any of the following?"</p> <div class="i1">-You must then read out all of the 6 categories, explaining each category if necessary.<br />-If the person did more than 1 to 6, then you ask which was the main activity in the last 7 days.</div><span class="em">How to record: </span>Write one code only in the box provided.</p> <div class="i1">-If the person did not do any of activities 1 to 6, write code 7 in the box.<br />-When Code 7 is recorded, do not ask Q16a, Q16b, and Q17 but skip straight to Q18.</div><span class="pg">[P. 94]</span></p> <p><span class="em">What each code means:<br />Code 1: Gardening/fishing for money.</span> <br />Use Code 1 if the person did any gardening/agricultural, hunting or fishing activity in the last 7 days and sold some or all of the produce. The activities include growing cash crops such as coffee, tea, cocoa, rubber and oil palm and also producing other things for sale. This includes growing any vegetables, making sago, gathering food, fishing, keeping livestock or hunting wild pigs or other animals for sale.</p> <p><span class="em">Code 2: Gardening/fishing for own use only.</span> <br />Use Code 2 for a person doing any gardening/agricultural, hunting or fishing activities in the last 7 days for their own or family use but not for sale. This is called subsistence.</p> <p><span class="em">Code 3: Business (any type) with paid help </span> <br />Use Code 3 for persons who have a business of any type at all, big or small, which has some paid workers (in pidgin, wokman). The person gets Code 3 if they own the business or partly own it and get a share of the profit. (e.g PMV, trade store, professional practice, or a farm run as a business with paid workers). <br />Do not use Code 3 if he/she is paid a regular wage by the business. Wage earners are Code 6. Code 3 is used only for people who take all or part of the profit from a business. <br />A Code 3 business includes professional practices (e.g. private doctor, lawyer) as well as very informal activities such as selling crops or betel nut, as long as they employ one or more workers.</p> <p><span class="em">Code 4: Business (any type) with unpaid help</span> <br />Use Code 4 is for the owner or part-owner of any type of business which does not have any paid workers. Family members may help without payment. <br />The difference between Code 3 and Code 4 is that a Code 3 business has paid workers but a Code 4 business does not.</p> <p><span class="em">Code 5: Helping in family business without pay</span> <br />Use Code 5 for persons who work in a family business without pay. It is quite common for family members to help businesses such as trade stores. Women and school children often do this activity without pay. <br />Gardening is not counted as business unless there are also wage workers. Women and children who help in gardens, which are not businesses, get Code 1 or Code 2.</p> <p><span class="em">Code 6: Wage job (includes temporary absence)</span> <br />Use Code 6 for all persons who are employed in a wage or salary job of any kind, including part-time, temporary, or casual work. <br />Include persons who are temporarily absent from their work due to ill ness, lay-offs, labor disputes, strikes, or were on leave or holiday, even if they did not do to work during the last 7 days.</p> <div class="i1">-All economic activity is to be recorded, even if part-time or only one hour during the week. You should stress to respondents that we want to record all economic activity, even if only for an hour during the week.<br />-Be alert and ask carefully. If rural households have a garden or a canoe, it is very likely that all active adults will do some economic activity.<br />-Women are counted as economically active if they do any work, which earns income or helps support the family, such as gardening or helping in the family shop. If they do only household duties, they are not counted as economically active<br />-Make a special effort to find out if women do any work that could be counted as economic activity.<br />-Students often do some economic activity, even if they spend most of their time at school. They might work after school and on week-ends in a garden, caring for animals, fishing or helping in a trade store. If they do any economic activity, this must be recorded.<br />-For persons on leave (or other temporary absence from work), their usual job should be taken as their main activity. For example, a man work at OK Tedi might be visiting his family for a week holiday. He is counted as having a wage job (Code 6).<br />-Make sure you understand the meaning of all the Codes 1 to 6. Think about what you would write for the people you know.</div><p>Notes: Be alert and be sure to skip to question 18 if the person is not economically active (Code 7). You will look silly if you ask people about their occupation (Q16) if they have just told you they do not do any of activities 1 to 6. Papua New Guinea 2000: Persons age 10+ [discrepancies: type I trace; type II none] This variable indicates the person's class of work in the last 7 days. 1 Gardening or fishing for money 2 Gardening or fishing for own use 3 Business with paid help 4 Business without paid help 5 Family business with unpaid help 6 Wage job 7 None 9 NIU (not in universe) Work Variables -- PERSON Occupation (4-digit) <span class="em">Continue only for persons aged 10 years or more</span> <br />[Questions 13-19 were asked of persons age 10+.]</p> <p>16(a). What kind of work did the respondent do in the last seven days?</p> <div class="i1">Describe kind of work or occupation, e.g. plumber, street seller, farmer, car mechanic.<br /><br />Work ____</div><p>16(b). What are the main tasks/duties done in that work?</p> <div class="i1">Describe kind of tasks or duties done in the work stated in Q.16 (a). e.g. mending tap, selling bettlenut, weeding garden, fixing engine.<br /><br />_ _ _ _</div> <span class="h3">Economic questions</span></p> <p>The economic questions are an important part of the census form. The economic questions for each person over 10 years are in Question 15 to 19. <br />The census provides the chance for us to find out what kind of work people do. Work that earns some income or helps to support the family, such as growing food, is called "economic activity". Some people are not economically active. On the information collected, community needs can be identified. Better plans can be in place.</p> <p><span class="em">Question 16: Occupation</span> <br />A person's occupation is what the person does for their economic activity. It is the kind of work they do. <br />There are two parts to this question. Q16 (a) is for the name or description of the occupation and Q16 (b) says what duties the person actually does. It is important to fill out both parts of the question.</p> <p><span class="em">Q16 (a). What kind of work did the person do in last 7 days ____<br />. </span> <br /><span class="ital">(Describe the kind of activity, work e.g., plumber, street seller, kaukau farmer, car mechanic)</span></p> <p><span class="em">Q16 (b). What was the main task/duties done in that work? ____<br /> </span> <br /><span class="ital">(Describe the kind of tasks or duties Done in the work stated in Q16 (a), e.g. Mending taps, selling betel nut, weeding garden, fixing car engines).</span></p> <p><span class="em">Who to ask:</span> Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for:</span> All persons 10 years and older who said they were economically active in the past 7 days, i.e. Code 1 to 6 in Q15.</p> <p><span class="em">How to ask: "What kind of work did you(he/she) do in the last 7 days?" </span> <br />Write the answer to this question and then follow up with Q16 (b). <br />"What is the main task/duty you (he/she) do in that work?"</p> <p><span class="pg">[P. 97]</span></p> <p><span class="em">How to record:</span> Give a brief answer for both parts. At least two words are neccesary to give a job description.</p> <div class="i1">-Do not write in the code boxes for this question.<br />-Be specific, describe job and task or duty clearly. For example, do not just write "clerk" but give details of the type of clerk and type of work, as follows:</div><div class="i2">Q16a: (job) bank clerk, Q16b: (task) deposits and withdrawals.<br />Q16a: (job) payroll clerk, Q16b: (task) preparing wages.<br />Q16a: (job) accounts teller, Q16b: (task) bookkeeping.<br />For our purposes, task means main duty.</div><div class="i1">-It is very important to record different levels of skill. A Dentist is very different from a Dental Technician and a Mechanical Engineer from an Engineering Technician.<br />-Most of rural people are engaged in agricultural activities and these are easy to record. For subsistence farmers, simply record as "subsistence farmer". For cash farming, record the name of the main crops or livestock in part (a). In part (b), give main activity in the seven days, e.g. weeding crops, repairing fences, planting, clearing ground, harvesting or some similar jobs.<br />-It does not matter whether a person is experienced or inexperienced, if they are doing the same work. Apprentices, trainees, and foremen are coded the same if they do the same work.<br />-For Government Departments or other large organizations, try to give the person's job title or Grade/Classification for Q16a, e.g. Senior Statistician, Police Superintendent, or Inspector. In Q16(b), briefly describe their duties.<br />-A person is only classified as a manager if they supervise at least one person. A person running his own trade with no full-time help should be recorded in Q16a as a shop assistant and not a manager. His actual duties (tasks) e.g. serving customers, in Q16b, would make clear he is not a manager.<br />-If the person being interviewed is on leave, record his regular job when he is at work.</div><p>Note: In Q16a, the description should usually be two words. In Q16b, give duties or tasks briefly to help give an accurate code. Papua New Guinea 2000: Persons age 10+ who worked last week [discrepancies: none] This variable indicates the occupation of a person in the last seven days (4-digit). 1120 Government officials and legislators 1131 Traditional chiefs 1140 Senior officials of special-interest organizations 1299 Senior government officials, not elsewhere classified 1211 Directors 1222 Production and operations department managers in manufacturing 1223 Production and operations department managers in construction 1224 Production and operations department managers in wholesale and retail trade 1226 Production and operations department managers in transport, storage and communications 1228 Production and operations department managers in personal care, cleaning and related services 1229 Production and operations department managers, not elsewhere classified 1311 General managers in agriculture, hunting, forestry or and fishing 1314 General managers in wholesale and retail trade 1316 General managers in transport, storage and communications 1317 General managers of business services 1319 General managers, not elsewhere classified 1321 Owner or managers 1329 Other owners 2130 Computing professionals 2142 Civil engineers 2149 Architects, engineers and related professionals, not elsewhere classified 2221 Medical doctors 2230 Nursing and midwifery professionals 2310 College, university and higher education teaching professionals 2320 Secondary education teaching professionals 2331 Primary education teaching professionals 2332 Pre-primary education teaching professionals 2351 Education methods specialists 2359 Other teaching professionals, not elsewhere classified 2411 Accountants 2412 Personnel and careers professionals 2419 Business professionals not elsewhere classified 2421 Lawyers 2440 Social science and related professionals 2451 Authors, journalists and other writers 2459 Writers and creative or performing artists, not elsewhere classified 2999 Professionals, not elsewhere classified 3111 Chemical and physical science technicians 3112 Civil engineering technicians 3113 Electrical engineering technicians 3114 Electronics and telecommunications engineering technicians 3115 Mechanical engineering technicians 3118 Draughtspersons 3119 Physical and engineering science technicians, not elsewhere classified 3122 Computer equipment operators 3129 Other computer associate professionals 3130 Optical and electronic equipment operators 3141 Ships' engineers 3142 Ships' deck officers and pilots 3143 Aircraft pilots and related associate professionals 3144 Air traffic controllers 3152 Safety, health and quality inspectors 3211 Life science technicians 3212 Agronomy and forestry technicians 3213 Farming and forestry advisers 3221 Medical assistants 3229 Modern health associate professionals (except nursing), not elsewhere classified 3231 Nursing associate professionals 3310 Primary education teaching associate professionals 3320 Pre-primary education teaching associate professionals 3340 Other teaching associate professionals, not elsewhere classified 3415 Technical and commercial sales representatives 3416 Buyers 3419 Finance and sales associate professionals not elsewhere classified 3420 Business services agents and trade brokers 3431 Administrative secretaries and related associate professionals 3432 Legal and related business associate professionals 3433 Bookkeepers 3434 Statistical, mathematical and related associate professionals 3439 Administrative associate professionals not elsewhere classified 3440 Customs, tax, and related government associate professionals 3460 Social work associate professionals 3472 Radio, television and other announcers 3479 Artistic, entertainment, and sports associate professionals 3481 Religious associate professionals 3999 Technicians and associate professionals, not elsewhere classified 4111 Stenographers and typists 4113 Data entry operators 4115 Secretaries 4121 Accounting and bookkeeping clerks 4122 Statistical and finance clerks 4131 Stock clerks 4132 Production clerks 4133 Transport clerks 4141 Library and filing clerks 4149 Other library mail and related clerks 4211 Cashiers and ticket clerks 4212 Tellers and other counter clerks 4213 Bookmakers and croupiers 4215 Debt-collectors and related workers 4222 Receptionists and information clerks 4229 Client information clerks, not elsewhere classified 4999 Clerks, not elsewhere classified 5110 Travel attendants and related workers 5121 Housekeepers and related workers 5122 Cooks 5123 Waiters, waitresses and bartenders 5124 Restaurant work 5132 Institution-based personal care workers 5140 Other personal service workers 5161 Fire-fighters 5162 Police officers 5163 Prison guards 5169 Protective services workers not elsewhere classified 5170 Armed forces 5210 Fashion and other models 5220 Shop salespersons and demonstrators 5230 Stall and market salespersons 5999 Service workers and shop and market workers, not elsewhere classified 6111 Field crop and vegetable growers 6112 Tree and shrub crop growers 6113 Gardeners, horticultural and nursery growers 6114 Mixed-crop growers 6121 Dairy and livestock producers 6122 Poultry producers 6123 Apiarists and seri culturists 6131 Market-oriented crop and animal producers, not elsewhere classified 6141 Forestry workers and loggers 6143 Forestry and related workers, not elsewhere classified 6151 Aquatic-life cultivation workers 6152 Inland and coastal waters fishery workers 6153 Deep-sea fishery workers 6154 Hunters and trappers 6211 Subsistence agricultural and fishery workers 6999 Skilled agricultural and fishery workers, not elsewhere classified 7111 Miners and quarry workers 7121 Builders, traditional materials 7122 Bricklayers and stonemasons 7124 Carpenters and joiners 7129 Building frame and related trades workers not elsewhere classified 7130 Building finishers and related trades workers 7136 Plumbers and pipe fitters 7137 Building and related electricians 7141 Painters and related workers 7149 Painters, building structure cleaners and related trades workers, not elsewhere classified 7212 Welders and flame cutters 7219 Metal moulders, welders, sheet-metal workers, structural-metal preparers, and related trades workers 7231 Motor vehicle mechanics and fitters 7233 Agricultural- or industrial-machinery mechanics and fitters 7241 Electrical mechanics and fitters 7245 Electrical line installers, repairers and cable jointers 7249 Electrical and electronic equipment mechanics and fitters, not elsewhere classified 7320 Potters, glass-makers, and related trades workers 7331 Handicraft workers in wood and related materials 7341 Compositors, typesetters and related workers 7411 Butchers, fishmongers and related food preparers 7412 Bakers, pastry-cooks and confectionery makers 7421 Wood treaties 7424 Basketry weavers, brush makers and related workers 7432 Weavers, knitters and related workers 7433 Tailors, dressmakers and hatters 7435 Textile, leather and related pattern-makers and cutters 7999 Craft and related trades workers, not elsewhere classified 8111 Mining-plant operators 8119 Mining-and mineral-processing-plant operators, not elsewhere classified 8141 Wood-processing-plant operators 8150 Chemical-processing-plant operators 8161 Power-production plant operators 8163 Incinerator, water-treatment and related plant operators 8170 Automated-assembly-line and industrial-robot operators 8220 Chemical-products machine operators 8241 Wood products 8271 Meat- and fish-processing-machine operators 8279 Food and related products machine operators, not elsewhere classified 8280 Assemblers 8312 Railway brokers, signalers and shunters 8313 Vehicle drivers 8321 Motor-cycle drivers 8322 Car, taxi and van drivers 8323 Bus and tram drivers 8324 Heavy-truck and lorry drivers 8331 Motorized farm and forestry plant operators 8999 Plant and machine operators and assemblers, not elsewhere classified 9111 Street food vendors 9112 Street vendors, non-food products 9121 Street service 9131 Domestic helpers and cleaners 9132 Helpers and cleaners in offices, hotels and other establishments 9133 Hand-launderers and pressers 9141 Building caretakers 9151 Messengers, package and luggage porters and deliverers 9152 Doorkeepers, watchpersons and related workers 9153 Vending-machine money collectors, meter readers and related workers 9161 Garbage collectors 9162 Sweepers and related laborers 9163 Garbage collectors 9211 Farm-hands and laborers 9212 Forestry laborers 9214 Agricultural laborers 9311 Mining and quarrying laborers 9312 Construction and maintenance laborers: roads, dams and similar constructions 9313 Building construction laborers 9321 Assembling laborers 9322 Hand packers and other manufacturing laborers 9332 Drivers of animal-drawn vehicles and machinery 9333 Freight handlers 9899 Elementary occupations, not elsewhere classified 9998 Unknown 9999 NIU (not in universe) Work: Occupation Variables -- PERSON Industry (3-digit) <span class="em">Continue only for persons aged 10 years or more</span> <br />[Questions 13-19 were asked of persons age 10+.]</p> <p>17. What kind of business is done at the place where the person works? </p> <div class="i1">Describe business by activity, e.g. house building, air transport, selling bettlenut.<br /><br />_ _ _ _ [Continue to Question 20.]</div> <span class="h3">Economic questions</span></p> <p>The economic questions are an important part of the census form. The economic questions for each person over 10 years are in Question 15 to 19. <br />The census provides the chance for us to find out what kind of work people do. Work that earns some income or helps to support the family, such as growing food, is called "economic activity". Some people are not economically active. On the information collected, community needs can be identified. Better plans can be in place.</p> <p><span class="em">Question 17: Industry</span> <br />Industry is about what activity occurs at the person's place of work. It is not about the person's own activity, which was asked in Q16.</p> <p>In Q17, we ask about what the Company, Government Department, or business does, e.g. Mining, Immigration Office, Retail shop.</p> <p>You must make sure you understand the difference between Q16, which is about what the person does, and Q17, which is about the place where they work.</p> <p><span class="em">Q17. What kind of business is done at the place where the person works? ____<br /></span> <br /><span class="ital">(Describe the business by activity, e.g. transport, selling betel nut, repairing cars)</span> <br />(Go to Q20)</p> <p><span class="em">Who to ask:</span> Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>All persons 10 years of age or more who said they were economically active in the past 7 days, i.e. Code 1 to 6 in Q15.</p> <p><span class="em">How to ask: </span> "What kind of business or activity is done at the place where the person works?"</p> <p><span class="em">How to record: </span>Describe what is done at their place of work, e.g.</p> <div class="i1">-Agricultural Industries have a description similar to the Occupation e.g. a coffee grower is in the Coffee Growing industry. A subsistence farmer is in the Subsistence Farming industry.<br />-Describe the industry as fully as possible. At least two words are necessary to give clear industry description. Be specific, describe the industry clearly. Example: House Construction not just construction, Road Maintenance not just maintenance, Medical Doctor not just Doctor. Do not enter anything in the code boxes for this question.<br />-For Government Departments or Organizations, describe what the actual place or branch where the person work does. Schools should be described by type, e.g. Secondary School, Nursery School.<br />-Health locations should be described by activity, e.g. Aid post, Hospital.<br />-Provincial administration officers should be "Government Administration"<br />-If at all in doubt, give the name of the Company or Department.<br />-Market or Roadside Selling should simply be described as Market or Roadside Selling.<br />-If the person being interviewed is on leave, record the kind of activity at their usual place of work.<br />-Most large Companies are coded according to their main activity e.g. Mining Companies as Mining Industry, Air Niugini as Air Transport. However some big Companies may have big branches with different names and different activities. Then the activity of the branch should be recorded e.g. Steamships -- Stop and Shop is Retail Trade but there is also Steamships Wholesale which is Wholesale Trade.<br />-Two words are usually needed to give a good industry description.</div><p>[The next paragraph containing examples of good and bad answers is omitted here.]</p> <div class="i1">-For Q17, write the activity and not the name of the business, if possible.<br />-If you cannot record a suitable description of the main business activity, the business name is better than no answer at all. Some business places have many things going on at one time.</div><p>All persons answering Q17 had an economic activity so after answering Q17 skip to Q20 for those who are citizen women 15 years or more. The rest should stop. If the person is head continue to Q24 - 28. <br />Do not ask them whether they were looking for work (Q18) or about their non-work activities (Q19). Papua New Guinea 2000: Persons age 10+ who worked last week [discrepancies: none] This variable indicates industry of work of a person in the last seven days. 011 Growing of crops, market gradening, horticulture 012 Farming of animals 013 Growing of crops combined with farming of animals (mixed farming) 014 Agricultural and animal husbandry service activities, except veterinary activities 015 Hunting, trapping and game propagation including related service activities 016 Other agriculture, hunting and related service activities 021 Forestry, logging and related service activities 051 Fishing, aquaculture, and service activities incidental to fishing 111 Extraction of crude petroleum and natural gas 132 Mining of non-ferrous metal ores, except uranium and thorium ores 142 Mining and quarrying n.e.c. 151 Production, processing and preservation of meat, fish, fruit, vegetables, oils and fats 153 Manufacture of grain mill products, starches and starch products, and prepared animal feeds 154 Manufacture of other food products 155 Manufacture of beverages 172 Manufacture of other textiles 181 Manufacture of wearing apparel, except fur apparel 201 Sawmilling and planing of wood 202 Manufacture of products of wood, cork, straw and plaiting materials 221 Publishing 222 Printing and service activities related to printing 289 Manufacture of other fabricated metal products; metalworking service activities 343 Manufacture of parts and accessories for motor vehicles and their engines 351 Building and repairing of ships and boats 361 Manufacture of furniture 369 Manufacturing n.e.c. 401 Production, transmission and distribution of electricity 409 Electricity, gas, and water supply, not elsewhere classified 451 Site preparation 452 Building of complete constructions or parts thereof; civil engineering 453 Building installation 454 Building completion 455 Renting of construction or demolition equipment with operator 456 Other construction 501 Sale of motor vehicles 502 Maintenance and repair of motor vehicles 503 Sale of motor vehicle parts and accessories 505 Retail sale of automotive fuel 512 Wholesale of agricultural raw materials, live animals, food, beverages and tobacco 513 Wholesale of household goods 515 Wholesale of machinery, equipment and supplies 516 Wholesale trade and commission trade, except of motor vehicles and motorcycles undocumented category 519 Other wholesale 521 Non-specialized retail trade in stores 522 Retail sale of food, beverages and tobacco in specialized stores 523 Other retail trade of new goods in specialized stores 529 Wholesale and retail trade, repair of motor vehicles, motorcycles and personal and household goods, not elsewhere classified 551 Hotels; camping sites and other provision of short-stay accommodation 552 Restaurants, bars and canteens 602 Other land transport 610 Sea, coastal, and inland water transport 621 Scheduled air transport 622 Non-scheduled air transport 630 Supporting and auxiliary transport activities; activities of travel agencies 641 Post and courier activities 642 Telecommunications 650 Monetary and other financial intermediation 660 Insurance and pension funding, except compulsory social security 670 Activities auxiliary to financial intermediation 700 Real estate activities 710 Renting of machinery and equipment without operator and of personal and household goods 723 Data processing 729 Other computer-related activities 730 Research and development 741 Legal, accounting, bookkeeping and auditing activities; tax consultancy; market research and public opinion polling; business and management consultancy 742 Architectural, engineering and other technical activities 749 Business activities n.e.c. 751 Administration of the State and the economic and social policy of the community 801 Primary education 802 Secondary education 803 Higher education 809 Adult and other education 851 Human health activities 859 Health and social work, not elsewhere classified 900 Sewage and refuse disposal, sanitation and similar activities 910 Activities of membership organizations n.e.c. 921 Motion picture, radio, television and other entertainment activities 923 Library, archives, museums and other cultural activities 930 Other service activities 950 Activities of private households as employers of domestic staff 998 Unknown 999 NIU (not in universe) Work: Industry Variables -- PERSON Looking for job in the last four weeks <span class="em">Continue only for persons aged 10 years or more</span> <br />[Questions 13-19 were asked of persons age 10+.]</p> <p>18. Has the person actively sought any kind of work in the last four weeks?</p> <div class="i1">[Asked of persons not active in any work in the last seven days in Question 15]<br /><br />[] 1 Yes<br />[] 2 No</div> <span class="h3">Economic questions</span></p> <p>The economic questions are an important part of the census form. The economic questions for each person over 10 years are in Question 15 to 19. <br />The census provides the chance for us to find out what kind of work people do. Work that earns some income or helps to support the family, such as growing food, is called "economic activity". Some people are not economically active. On the information collected, community needs can be identified. Better plans can be in place.</p> <p><span class="em">Question 18: Looking for work</span> <br />This question is only for people who said they did not have an economic activity. We want to know whether they looked for any kind of work in the last four weeks. This tells us if there are people who do not have jobs but would like to be employed.</p> <p><span class="em">Q18. Has the person actively sought any kind of work in the last four weeks?</span><div class="i1">1. Yes<br />2. No</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding.</p> <p><span class="em">Get this information for: </span>All persons 10 years or more who had Code 7 (None) in Q15. That is, people who did not report an economic activity.</p> <p><span class="em">How to ask: "Has this person looked for any kind of work in the last four weeks?" </span> <br />Stress <span class="ital">"any kind of work" </span>and give examples, as explained below. Explain that the government must know about unemployment if they are to help people find jobs.</p> <p><span class="em">How to record: </span>Enter only one code, Code 1 or 2 in the correct box given.</p> <div class="i1">-Be clear in your question. The person must have answered an advertisement, or asked friends or employers if they have jobs available, or enquired at offices or companies, or tried to start a small business or a farm/garden.<br />-We have deliberately taken the longer period of four weeks for this question to include persons who may not look for work every week.<br /><span class="em">Note: Continue to Q19 for these persons.</span></div> Papua New Guinea 2000: Persons age 10+ who did not work last week [discrepancies: type I none; type II trace] This variable indicates whether the person look for job in the last four weeks (month). 1 Yes 2 No 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Economic activity (past 7 days) <span class="em">Continue only for persons aged 10 years or more</span> <br />[Questions 13-19 were asked of persons age 10+.]</p> <p>19. What was the person doing mostly in the last seven days?</p> <div class="i1">[Asked of persons not active in any work in the last seven days in Question 15]<br /><br />If other describe in the space provided.<br /><br />[] 1 Housework<br />[] 2 Studying<br />[] 3 Waiting to start a new job<br />[] 4 looking for work</div><div class="i1">Not working because:</div><div class="i2">[] 5 Too young<br />[] 6 Too old/retired<br />[] 7 Sick<br />[] 8 Permanently disabled<br />[] 9 Other, describe ____</div> <span class="h3">Economic questions</span></p> <p>The economic questions are an important part of the census form. The economic questions for each person over 10 years are in Question 15 to 19. <br />The census provides the chance for us to find out what kind of work people do. Work that earns some income or helps to support the family, such as growing food, is called "economic activity". Some people are not economically active. On the information collected, community needs can be identified. Better plans can be in place.</p> <p><span class="em">Question 19. Non-economic activity</span> <br />This question tells us what those who do not have jobs are doing.</p> <p><span class="em">Q19. What was the person doing most of the time in the last seven days? </span><div class="i1">01. Housework<br />02. Studying<br />03. Waiting to start work<br />04. Looking for work</div><span class="em">Not working because</span><div class="i1">05. Too young<br />06. Too Old/Retired<br />07. Sick<br />08. Permanently Disabled<br />09. Other (describe)</div><span class="em">Who to ask: </span>Ask the head of the household or the person responding. <br />Get this information for: All persons 10 years or more who had Code 7 (None) in Q15. This question is asked after Q18.</p> <p><span class="em">How to ask: </span> "What was the person doing most of the time in the last seven days?" <br /><span class="em">How to record</span>: <br />Enter one code only in the box provided. <br />If the person answers "other" (Code 9), write beside the box exactly what they did.</p> <div class="i1">-All persons answering this question are not working, so their main activity will be a non-work activity. For the census, not working means not employed or not producing anything.<br />Codes 1 to 4 are non-work activities.<br />Codes 5 to 8 are reasons why the person was not economically active (Not working because...)<br />[]<span class="em">Housework</span> includes cleaning, washing, cooking and child minding around the home for the family without pay. (So it is not an economic activity).<br />[] Cleaning, washing, cooking or child minding for someone else for pay would be counted in Q15 as a wage job. People who do a wage job should not be asked Q19.<br />[]<span class="em">Studying</span> includes any type of formal or informal studying or training, provided it is the main activity. If the person is paid for studying by their employer they should be recorded as a wage job in Q15, and their usual job recorded in Q16 and Q17. People who are paid for studying should be asked Q19.<br />[] <span class="em">Waiting to start a job </span> only includes the persons with a definite, arranged job to go to. Do not include persons who are only hoping to find a job.<br />-Some of the people who were looking for work (Code 1 in Q18) could have a different answer in Q19 because the period is shorter here (7 days). For example, some women may have looked for work in the last 4 weeks but their main activity in the last 7 days was Housework.<br />-Only use "looking for work" (Code 4) if the person actively tried to find a job -- i.e. answering advertisements, writing letters, asking people if they have work.<br />-Accept what the respondent says for Q19. For example, if they say a sixteen-year old is too young to work, we accept that.<br />[] Also, for "too old/tired", accept what the person says.<br />-It is important to find out if people are not working because they are sick as this tells us about health needs.<br />-Note again that only permanently disabled persons who do not have an economic activity are asked this question and recorded answers.<br />[] Only write "other" (Code 9) if you cannot put the person into one of the other categories.<br />-Give each person a code. Do not leave the code blank.<br />-For students home on holiday and not doing any economic activity, record their usual activity, which is student or studying.</div> Papua New Guinea 2000: Persons age 10+ who did not work last week [discrepancies: type I none; type II trace] This variable indicates person's economic activity in the past 7 days. 01 Housework 02 Student 03 Waiting for a job 04 Looking for a job 05 Too young 06 Too old 07 Sick 08 Permanently disabled 09 Other 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Male children ever born <span class="em">Continue only for all citizen women aged 15 years or more</span> <br />[Questions 20-23 were asked of females age 15+.]</p> <p>20. How many children has [the respondent] given birth to?</p> <div class="i1">____Boys<br />____Girls</div> <span class="h3">Records of births and deaths of children</span> <br />The next four questions are about the number of children women have had, and the number of children who have died. This is important information to help us estimate how many people PNG will have in the future, and to help us plan for maternal and child health services.</p> <p><span class="em">Question 20. Total children ever born<br /><br />Q20. How many children have you given birth to? </span><div class="i1">____Boys <br />____Girls</div><span class="em">Who to ask: </span>Ask all <span class="em">PNG citizen </span>women born before 9 July 1985, who are aged 15 years or more. If date of birth is not recorded, use age given in years.</p> <p><span class="em">Get this information for: </span>All PNG citizen women aged 15 years or more.</p> <p><span class="em">How to ask: "How many children have you given birth to?" </span><div class="i1">-This means all children born alive, even if they died soon after they were born.<br />-When the respondent tells you the number of children, ask "How many of these babies were boys and how many were girls?"</div><span class="em">How to record:</span> Record the total number of boys in the box for boys, and the total number of girls in the box for girls.</p> <p>If the woman has never given birth, write "0" in each box. Do not leave blank spaces for this question.</p> <p>Do not ask any more questions if the woman has never given birth.</p> <p><span class="pg">[P. 110]</span> <br />Note: Record all of the respondent's natural births, i.e. the total number of children she has given birth to,</p> <div class="i1">-even if the child no longer lives in the household, and<br />-even if the child is no longer alive.</div><p>Include any birth which showed signs of life (by crying, breathing or moving), even if the baby died soon after birth.</p> <p><span class="em">This question is also used to check against the total number of children Questions 21, 22 and 23.</span><div class="i1">--Do not include stillbirths, (i.e. giving birth to a dead child)<br />--Do not include adopted children (i.e. children the woman did not give birth to herself).<br />--Do not include step-children (children of the husband who have a different mother), or foster children.<br />--Question 20-23 are sensitive issues. You must remember this, and be careful not to upset or offend the respondent.<br />--Explain the questions clearly and remind them politely that they should include children who have died.<br />--If possible, ask each woman herself, separately. Explain to the head of household that the woman, or mother is the best person to give accurate information about her children.<br />--Try to avoid having other people answer for the woman.<br />--Ask all women 15 years or older, even if they are not married.</div><p>If the woman says she has never given birth, do not ask her any more questions. Move on to the next respondent. Papua New Guinea 2000: Citizen women age 15+ [discrepancies: type I none; type II 0.2%] This variable indicates the number of male children born to a woman. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children ever born <span class="em">Continue only for all citizen women aged 15 years or more</span> <br />[Questions 20-23 were asked of females age 15+.]</p> <p>20. How many children has [the respondent] given birth to?</p> <div class="i1">____Boys<br />____Girls</div> <span class="h3">Records of births and deaths of children</span> <br />The next four questions are about the number of children women have had, and the number of children who have died. This is important information to help us estimate how many people PNG will have in the future, and to help us plan for maternal and child health services.</p> <p><span class="em">Question 20. Total children ever born<br /><br />Q20. How many children have you given birth to? </span><div class="i1">____Boys <br />____Girls</div><span class="em">Who to ask: </span>Ask all <span class="em">PNG citizen </span>women born before 9 July 1985, who are aged 15 years or more. If date of birth is not recorded, use age given in years.</p> <p><span class="em">Get this information for: </span>All PNG citizen women aged 15 years or more.</p> <p><span class="em">How to ask: "How many children have you given birth to?" </span><div class="i1">-This means all children born alive, even if they died soon after they were born.<br />-When the respondent tells you the number of children, ask "How many of these babies were boys and how many were girls?"</div><span class="em">How to record:</span> Record the total number of boys in the box for boys, and the total number of girls in the box for girls.</p> <p>If the woman has never given birth, write "0" in each box. Do not leave blank spaces for this question.</p> <p>Do not ask any more questions if the woman has never given birth.</p> <p><span class="pg">[P. 110]</span> <br />Note: Record all of the respondent's natural births, i.e. the total number of children she has given birth to,</p> <div class="i1">-even if the child no longer lives in the household, and<br />-even if the child is no longer alive.</div><p>Include any birth which showed signs of life (by crying, breathing or moving), even if the baby died soon after birth.</p> <p><span class="em">This question is also used to check against the total number of children Questions 21, 22 and 23.</span><div class="i1">--Do not include stillbirths, (i.e. giving birth to a dead child)<br />--Do not include adopted children (i.e. children the woman did not give birth to herself).<br />--Do not include step-children (children of the husband who have a different mother), or foster children.<br />--Question 20-23 are sensitive issues. You must remember this, and be careful not to upset or offend the respondent.<br />--Explain the questions clearly and remind them politely that they should include children who have died.<br />--If possible, ask each woman herself, separately. Explain to the head of household that the woman, or mother is the best person to give accurate information about her children.<br />--Try to avoid having other people answer for the woman.<br />--Ask all women 15 years or older, even if they are not married.</div><p>If the woman says she has never given birth, do not ask her any more questions. Move on to the next respondent. Papua New Guinea 2000: Citizen women age 15+ [discrepancies: type I none; type II 0.2%] This variable indicates the number of female children born to a woman. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children living in the household <span class="em">Continue only for all citizen women aged 15 years or more</span> <br />[Questions 20-23 were asked of females age 15+.]</p> <p>21. How many of [the respondent's] own children are living in this house?</p> <div class="i1">____Boys<br />____Girls</div> <span class="h3">Records of births and deaths of children</span> <br />The next four questions are about the number of children women have had, and the number of children who have died. This is important information to help us estimate how many people PNG will have in the future, and to help us plan for maternal and child health services.</p> <p><span class="em">Question 21: Number of own children at home<br /><br />Q21. How many of your own children are living in this household?</span><div class="i1">____Boys <br />____Girls</div><span class="em">Who to ask: </span>Ask all PNG citizen women aged 15 years or more who said in Q20 that they have given birth to a child.</p> <p><span class="em">Get this information for: </span>All PNG citizen women aged 15 years or more who have given birth to at least one child.</p> <p><span class="em">How to ask: </span>Ask "How many of your own children live with you?". When a number is given, Ask "How many of these children are boys and how many are girls?".</p> <p><span class="em">How to record:</span> Write the number of male children in the box for Boys, and female children in the box for Girls. Papua New Guinea 2000: Citizen women age 15+ [discrepancies: type I none; type II 0.2%] This variable indicates the number of male children born to a woman living in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children living in the household <span class="em">Continue only for all citizen women aged 15 years or more</span> <br />[Questions 20-23 were asked of females age 15+.]</p> <p>21. How many of [the respondent's] own children are living in this house?</p> <div class="i1">____Boys<br />____Girls</div> <span class="h3">Records of births and deaths of children</span> <br />The next four questions are about the number of children women have had, and the number of children who have died. This is important information to help us estimate how many people PNG will have in the future, and to help us plan for maternal and child health services.</p> <p><span class="em">Question 21: Number of own children at home<br /><br />Q21. How many of your own children are living in this household?</span><div class="i1">____Boys <br />____Girls</div><span class="em">Who to ask: </span>Ask all PNG citizen women aged 15 years or more who said in Q20 that they have given birth to a child.</p> <p><span class="em">Get this information for: </span>All PNG citizen women aged 15 years or more who have given birth to at least one child.</p> <p><span class="em">How to ask: </span>Ask "How many of your own children live with you?". When a number is given, Ask "How many of these children are boys and how many are girls?".</p> <p><span class="em">How to record:</span> Write the number of male children in the box for Boys, and female children in the box for Girls. Papua New Guinea 2000: Citizen women age 15+ [discrepancies: type I none; type II 0.2%] This variable indicates the number of female children born to a woman living in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children living elsewhere <span class="em">Continue only for all citizen women aged 15 years or more</span> <br />[Questions 20-23 were asked of females age 15+.]</p> <p>22. How many of [the respondent's] own children are living elsewhere?</p> <div class="i1">____Boys<br />____Girls</div> <span class="h3">Records of births and deaths of children</span> <br />The next four questions are about the number of children women have had, and the number of children who have died. This is important information to help us estimate how many people PNG will have in the future, and to help us plan for maternal and child health services.</p> <p><span class="em">Question 22: Number of own children living elsewhere.<br /><br />Q22. How many of your own children are living elsewhere? </span><div class="i1">____Boys <br />____Girls</div><span class="em">Who to ask: </span>Ask all PNG citizen women aged 15 years or more who said in Q20 that they have given birth to a child.</p> <p><span class="em">Get this information for: </span>All PNG citizen women aged 15 years or more who have given birth to at least one child.</p> <p><span class="em">How to ask: </span>Ask "How many of your children live elsewhere?" <br />The children may have married, moved out of the village, or been adopted. They may be living on their own or with another household. <br />When a number is given, ask "How many of these children are boys and how many are girls.</p> <p><span class="em">How to record: </span>Record the number of male children in the box for Boys, and the female children in the box for Girls. Papua New Guinea 2000: Citizen women age 15+ [discrepancies: type I none; type II 0.2%] This variable indicates the number of male children born to a woman living elsewhere. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children living elsewhere <span class="em">Continue only for all citizen women aged 15 years or more</span> <br />[Questions 20-23 were asked of females age 15+.]</p> <p>22. How many of [the respondent's] own children are living elsewhere?</p> <div class="i1">____Boys<br />____Girls</div> <span class="h3">Records of births and deaths of children</span> <br />The next four questions are about the number of children women have had, and the number of children who have died. This is important information to help us estimate how many people PNG will have in the future, and to help us plan for maternal and child health services.</p> <p><span class="em">Question 22: Number of own children living elsewhere.<br /><br />Q22. How many of your own children are living elsewhere? </span><div class="i1">____Boys <br />____Girls</div><span class="em">Who to ask: </span>Ask all PNG citizen women aged 15 years or more who said in Q20 that they have given birth to a child.</p> <p><span class="em">Get this information for: </span>All PNG citizen women aged 15 years or more who have given birth to at least one child.</p> <p><span class="em">How to ask: </span>Ask "How many of your children live elsewhere?" <br />The children may have married, moved out of the village, or been adopted. They may be living on their own or with another household. <br />When a number is given, ask "How many of these children are boys and how many are girls.</p> <p><span class="em">How to record: </span>Record the number of male children in the box for Boys, and the female children in the box for Girls. Papua New Guinea 2000: Citizen women age 15+ [discrepancies: type I none; type II 0.2%] This variable indicates the number of female children born to a woman living elsewhere. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Male children dead <span class="em">Continue only for all citizen women aged 15 years or more</span> <br />[Questions 20-23 were asked of females age 15+.]</p> <p>23. How many of [the respondent's] own children are dead?</p> <div class="i1">____Boys<br />____Girls</div> <span class="h3">Records of births and deaths of children</span> <br />The next four questions are about the number of children women have had, and the number of children who have died. This is important information to help us estimate how many people PNG will have in the future, and to help us plan for maternal and child health services.</p> <p><span class="em">Question 23: Number of Own Children Dead<br /><br />Q23. How many of your own children are dead?</span><div class="i1">____Boys <br />____Girls</div><span class="em">Who to ask: </span>Ask all PNG citizen women aged 15 years or more who said in Q20 that they have given birth to a child.</p> <p><span class="em">Get this information for: </span>All PNG citizen women aged 15 years or more who have given birth to at least one child.</p> <p><span class="em">How to ask: </span> <br />"Have any of your own children have died?" <br />It may be difficult to get a good response because some women don't like to talk about dead children. Be kind and considerate when you ask. <br />The question is important and must be asked. <br />Even if the answer is No, ask "Did you ever have any babies who cried or showed signs of life but survived only a few minutes/days/weeks?" <br />When a number is given, ask "How many of these dead children were boys and how many were girls?"</p> <p><span class="em">How to record: </span>Record the number of dead male children in the box for Boys, and the number of dead female children in the box for Girls. <br />Note: Do not record still births (that is, giving birth to a dead child), adopted/foster children, step-children.</p> <p>The figures in Q21, Q22 and Q23 for each woman MUST add up to the figures in Q20. Check these totals as you go. If the numbers don't add up to the number in Q20, ask the respondent to clarify. Papua New Guinea 2000: Citizen women age 15+ [discrepancies: type I none; type II 0.2%] This variable indicates the number of male children born to a woman who have died. 00 0 01 1 02 2 03 3 04 4 05 5+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Female children dead <span class="em">Continue only for all citizen women aged 15 years or more</span> <br />[Questions 20-23 were asked of females age 15+.]</p> <p>23. How many of [the respondent's] own children are dead?</p> <div class="i1">____Boys<br />____Girls</div> <span class="h3">Records of births and deaths of children</span> <br />The next four questions are about the number of children women have had, and the number of children who have died. This is important information to help us estimate how many people PNG will have in the future, and to help us plan for maternal and child health services.</p> <p><span class="em">Question 23: Number of Own Children Dead<br /><br />Q23. How many of your own children are dead?</span><div class="i1">____Boys <br />____Girls</div><span class="em">Who to ask: </span>Ask all PNG citizen women aged 15 years or more who said in Q20 that they have given birth to a child.</p> <p><span class="em">Get this information for: </span>All PNG citizen women aged 15 years or more who have given birth to at least one child.</p> <p><span class="em">How to ask: </span> <br />"Have any of your own children have died?" <br />It may be difficult to get a good response because some women don't like to talk about dead children. Be kind and considerate when you ask. <br />The question is important and must be asked. <br />Even if the answer is No, ask "Did you ever have any babies who cried or showed signs of life but survived only a few minutes/days/weeks?" <br />When a number is given, ask "How many of these dead children were boys and how many were girls?"</p> <p><span class="em">How to record: </span>Record the number of dead male children in the box for Boys, and the number of dead female children in the box for Girls. <br />Note: Do not record still births (that is, giving birth to a dead child), adopted/foster children, step-children.</p> <p>The figures in Q21, Q22 and Q23 for each woman MUST add up to the figures in Q20. Check these totals as you go. If the numbers don't add up to the number in Q20, ask the respondent to clarify. Papua New Guinea 2000: Citizen women age 15+ [discrepancies: type I none; type II 0.2%] This variable indicates the number of female children born to a woman who have died. 00 0 01 1 02 2 03 3 04 4 05 5+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON