General census of Population and Housing, 1982 DDI_MAR_1982_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. General census of Population and Housing, 1982 - IPUMS Subset PHC ma1982a (IPUMS Harmonized Subset) MAR_1982_PHC_v01_M_v7.6_A_IPUMS Statistics Directorate IPUMS (c) Copyright 1982, Statistics Directorate and Minnesota Population Center Statistics Directorate 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 Fertility and Mortality Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Geography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLD Disability Variables -- PERSON Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Ethnicity and Language Variables -- PERSON Migration: F-N Variables -- PERSON Migration: Global Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Demographic Variables -- PERSON Other Person Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Fertility and Mortality Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON September 3, 1982 15 days Morocco Province Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: no UNIT DESCRIPTIONS: - Dwellings: A dwelling unit is made of one or several living rooms, with one or several direct entrances - Households: Set of persons who live together within a single dwelling unit, and who generally share expenses - Group quarters: Set of persons who live together under the same roof, and who share food for various reasons: work, health, religion All persons residing in Morocco; not those living abroad. Homeless persons who live alone, or set of homeless persons who live together Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Morocco 1982 MICRODATA SOURCE: Statistics Directorate SAMPLE SIZE (person records): 1012873. SAMPLE DESIGN: Systematic sample of every 20th household, drawn by the National Statistical Office Homeless persons who live alone, or set of homeless persons who live together Face-to-face [f2f] Questionnaire for dwelling unit and household de jure, CENSUS DAY: September 3, 1982 Self-weighting (expansion factor=20) IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. Statistics Directorate 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: Morocco, Statistics Directorate. General census of Population and Housing, 1982 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 ma1982a, 2025 MAR1982_PHC-H-H.dat Household records 171,684 ascii Minnesota Population Center Version 7.5, IPUMS sample MAR1982_PHC-P-H.dat Person records 1012873 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 Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD 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 Morocco, Region 1982 - 2004 [Level 1; consistent boundaries, GIS] GEO1ALT_MA identifies the household's region within Morocco from 1982 to 2004. Regions are the first level administrative units of the country. GEO1ALT_MA 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_MA can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Morocco 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. 504001 Oued-Ed-Dahab-Lagouira 504002 Laâyoune-Boujdour-Sakia El Hamra 504003 Guelmin-Es-Samara 504004 Souss-Massa-Draâ 504005 Charb-Chrarda-Béni Hssen 504006 Chaouia-Ouardigha 504007 Marrakech-Tensift-Al Haouz 504008 Oriental 504009 Grand-Casablanca 504010 Rabat-Salé-Zemmour-Zaer 504011 Doukala Abda 504012 Tadla Azilal 504013 Meknès-Tafilalet 504014 Fès-Boulemane 504015 Taza-Al Heiceima-Taounate 504016 Tanger-Tétouan Geography: F-N Variables -- HOUSEHOLD Morocco, Region 1982 [Level 1, GIS] GEO1_MA1982 identifies the household's region within Morocco in 1982. Regions are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_MA1982 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Morocco 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. 001 Oued-Ed-Dahab-Lagouira 002 Laâyoune-Boujdour-Sakia El Hamra 003 Guelmin-Es-Samara 004 Souss-Massa-Draâ 005 Charb-Chrarda-Béni Hssen 006 Chaouia-Ouardigha 007 Marrakech-Tensift-Al Haouz 008 Oriental 009 Grand-Casablanca 010 Rabat-Salé-Zemmour-Zaer 011 Doukala Abda 012 Tadla Azilal 013 Meknès-Tafilalet 014 Fès-Boulemane 015 Taza-Al Heiceima-Taounate 016 Tanger-Tétouan Geography: F-N Variables -- HOUSEHOLD Morocco, Province 1982 - 2004 [Level 2; consistent boundaries, GIS] GEO2ALT_MA identifies the household's province within Morocco from 1982 to 2004. Provinces are the second level administrative units of the country, after regions. GEO2ALT_MA is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2ALT_MA can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Morocco 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. 504001391 Oued-Ed-Dahab, Aousserd 504002321 Laâyoune, Boujdour 504003071 Assa-Zag 504003221 Es-Semara 504003261 Guelmim 504003521 Tan-Tan 504003551 Tata 504004001 Agadir-Ida Ou Tanane 504004163 Chtouka-Aït Baha 504004273 Inezgane-Aït Melloul 504004401 Ouarzazate, Zagora 504004541 Taroudannt 504004581 Tiznit 504005281 Kénitra 504005481 Sidi-Kacem 504006111 Benslimane 504006311 Khouribga 504006461 Settat 504007041 Al Haouz 504007161 Chicaoua 504007191 El Kelaâ des Sraghna 504007211 Essaouira 504007351 Marrakech, Marrakech-Menara, Marrakech-Medina, Sidi Youssef-Ben ali 504008113 Berkane, Taourirt 504008251 Figuig 504008275 Jerada 504008381 Nador 504008411 Oujda-Angad 504009141 Casablanca, Ain Chock-Hay Hassani, Ain Sebaa-Hay Mohammadi, Al Fida-Derb Sultan, Ben Msick-Sidi Othmane, Machouar-Casablanca, Sidi Bernoussi-Zenata 504009371 Mohammedia 504010291 Khémisset 504010421 Rabat 504010441 Salé 504010501 Skhirate-Témara 504011181 El-Jadida 504011431 Safi 504012081 Azilal 504012091 Béni Mellal 504013061 Meknès, Al Ismalia 504013171 El Hajeb 504013201 Errachidia 504013271 Ifrane 504013301 Khénifra 504014131 Boulemane 504014231 Fès, Fès-Medina, Fès El Jadid Dar Dibbagh 504014451 Sefrou 504014591 Moulay Yacoub 504015051 Al Hoceïma 504015531 Taounate 504015561 Taza 504016151 Chefchaouen 504016331 Tanger-Assilah, Fahs-Anjra 504016511 Larache 504016571 Tétouan Geography: F-N Variables -- HOUSEHOLD Morocco, Province 1982 [Level 2, GIS] GEO2_MA1982 identifies the household's province within Morocco in 1982. Provinces are the second level administrative units of the country, after regions. A GIS map (in shapefile format), corresponding to GEO2_MA1982 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Morocco 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. 001391 Oued-Ed-Dahab 002321 Laâyoune, Boujdour 003071 Assa-Zag 003221 Es-Semara 003261 Guelmim 003521 Tan-Tan 003551 Tata 004001 Agadir-Ida Ou Tanane 004163 Chtouka-Aït Baha 004273 Inezgane-Aït Melloul 004401 Ouarzazate 004541 Taroudannt 004581 Tiznit 005281 Kénitra 005481 Sidi-Kacem 006111 Benslimane 006311 Khouribga 006461 Settat 007041 Al Haouz 007161 Chicaoua 007191 El Kelaâ des Sraghna 007211 Essaouira 007341 Marrakech-Medina 007351 Marrakech-Menara 007491 Sidi Youssef-Ben ali 008113 Berkane 008251 Figuig 008275 Jerada 008381 Nador 008411 Oujda-Angad 009011 Ain Chock-Hay Hassani 009021 Ain Sebaa-Hay Mohammadi 009031 Al Fida-Derb Sultan, Machouar-Casablanca 009101 Ben Msick-Sidi Othmane 009141 Casablanca 009471 Sidi Bernoussi-Zenata 009371 Mohammedia 010291 Khémisset 010421 Rabat 010441 Salé 010501 Skhirate-Témara 011181 El-Jadida 011431 Safi 012081 Azilal 012091 Béni Mellal 013061 Al Ismalia 013361 Meknes-El Menzeh 013171 El Hajeb 013201 Errachidia 013271 Ifrane 013301 Khenifra 014131 Boulemane 014231 Fès El Jadid Dar Dibbagh 014241 Fès-Medina 014451 Sefrou 014591 Zouagha-Moulay Yacoub 015051 Al Hoceïma 015531 Taounate 015561 Taza 016151 Chefchaouen 016511 Tanger-Assilah 016331 Larache 016571 Tétouan Geography: F-N Variables -- HOUSEHOLD DHS-IPUMS-I Morocco regions, 1982-2004 [consistent boundaries, GIS] DHS_IPUMSI_MA provides geographic codes for Morocco that match those in the DHS and IPUMS-International databases. This variable can be used to link contextual area data from IPUMS-DHS to IPUMS-International or vice versa. The codes in DHS_IPUMSI_MA indicate the major administrative unit in which the household was enumerated or surveyed. GIS shapefiles for Morocco can be downloaded here. 1 Souss-Massa-Draa, Guelmim-Es-smara, Laayoune-Boujdou-sakia Al Hamra (Sud), Meknes-Tafilalet 2 Marrakech-Tensift-Al Haouz, Doukkala-Abda, Tadla-Azilal, Chaouia-Ouardigha, Grand-Casablanca (Tensift and Centre) 3 Gharb-Chrarda-Bni Hssen, Rabat-Sale-Zemmour-Zaer, Tanger-Tetouan (Nord-Ouest) 4 Fes-Boulemane, Taza-Al Hoceima-Taounate (Centre-Nord) 5 Oriental 9 Unknown Geography: IPUMS-I, IPUMS-DHS Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Electricity ELECTRIC indicates whether the household had access to electricity. 0 NIU (not in universe) 1 Yes 2 No 9 Unknown Utilities Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD 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 Kitchen or cooking facilities KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. 00 NIU (not in universe) 10 No kitchen 11 Food is prepared in a non-kitchen room 13 Does not prepare food in the dwelling 20 Yes, have a kitchen 21 Kitchen located inside the dwelling 22 Indoor kitchen, exclusive use 23 Indoor kitchen, shared use 24 Exclusive use of kitchen (indoor/outdoor status not specified) 25 Shared use of kitchen with another household (indoor/outdoor status not specified) 26 Kitchen located outside the dwelling 27 Outdoor kitchen, exclusive use 28 Outdoor kitchen, shared use 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Bathing facilities BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. 0 NIU (not in universe) 1 No bathing facility 2 Have bathing facility, exclusivity not specified 3 Have bathing facility, exclusive use 4 Have bathing facility, shared use 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Wall or building material This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. 000 NIU (not in universe) 100 No walls 200 Cardboard, scrap, and miscellaneous materials 201 Waste, scrap, or discarded material 202 Fabric or discarded material 203 Zinc, fabric, cardboard, tins, and waste material 204 Cardboard sheet 205 Plastic sheeting, cardboard 206 Makeshift, salvaged, or improvised materials 207 Reused materials 300 Wood 310 Rough wood 320 Wood, fibercement or plywood 330 Wood, formica, and other 340 Wood or bamboo 350 Wood or straw 400 Other plant-based materials 401 Plantain leaves and similar material 402 Bamboo or cane 403 Bamboo, sawali, cogon, nipa 404 Straw or bamboo 405 Grass, straw or reed 406 Reed, bamboo, or palm 407 Cane, palm leaves, logs 408 Palm leaves or palm planks 409 Bark, sticks, or cane 500 Masonry, stone, cement, adobe, metal, glass, and other fabricated materials (sometimes mixed with wood) 501 Brick, block, stone, or cement 502 Brick, stone, concrete 503 Brick, stone, or substitutes (dividing panels made of reinforced concrete) 504 Brick, stone, or substitutes (dividing panels made of wood) 505 Brick or tile 506 Brick or stone 507 Brick or cement block 508 Brick with plaster exterior 509 Brick without plaster exterior 510 Burnt or stabilized brick 511 Covered brick 512 Brick 513 Unburnt brick 514 Unburnt brick with cement 515 Unburnt brick with mud 516 Concrete 517 Landcrete, sandcrete 518 Cement blocks 519 Cement blocks or brick 520 Cement blocks or brick, unfinished 521 Cement and adobe bricks 522 Cement and stone block 523 Cement and tiles 524 Reinforced concrete, pre-cast concrete panels, or steel skeleton framed concrete 525 Concrete, reinforced concrete, blocks, panels 526 Fibercement 527 Adobe 528 Adobe walls with plaster exterior 529 Adobe walls without plaster exterior 530 Adobe with cement exterior 531 Wood and earth adobe 532 Wood and cement adobe 533 Mud or adobe 534 Pressed dirt 535 Clay 536 Coated clay/mud with sticks/cane 537 Clay or clay-covered sticks 538 Netted bamboo or cane with mud 539 Bundle of mud, straw, other materials 540 Mud with wood/wattle 541 Pole and mud 542 Mud with cement 543 Unfinished lathe and plaster, stucco, etc. 544 Stone 545 Hand-laid stone 546 Quarried stone 547 Cut stone and concrete 548 Cemented stone 549 Stone with clay 550 Blocks of light material 551 Prefabricated material 552 Asbestos 553 Metal or asbestos sheet 554 Metal or iron sheet 555 Metal or fibercement sheeting 556 Galvanized iron or aluminum 557 Tin 558 Glass 559 Cloth 560 Covintec panels 561 Mixed material 562 Mixed material: part wood; part concrete, brick, or stone 563 Wood plastered with clay, adobe, other materials; wood pressed panels; rolled mud bricks; etc. 564 Mixed material: wood or galvanized metal 570 Mainly permanent materials 600 Other material 601 Partition wall, lined with wood or steel 602 Partition wall, unlined 999 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Roof material This variable indicates the dwelling's predominant roofing material. 00 NIU (not in universe) 10 Masonry, concrete, clay tile, or tiles of unspecified type 11 Concrete or cement 12 Reinforced concrete (slab) 13 Cement or sheet metal 14 Tile, unspecified material 15 Clay tile 16 Tile or cement 17 Modern tiles, industrial 18 Traditional tiles, locally made 19 Tile or flat stone 20 Tile, unspecified or mixed materials 21 Fibercement or plastic 22 Fibercement or metal sheets 23 Asphalt or laminate cover 24 Tile, cement, asphalt 25 Asphalt tile 26 Slate or tile 27 Slate or asbestos 28 Asbestos 29 Adobe 30 Tiles or wood planks 31 Roofing shingles 32 Tar paper 33 Metal 34 Sheet metal 35 Zinc or tin 36 Tin 37 Sheet metal or other sheet material 38 Sheet metal, tile, slate 40 Wood and other plant materials 41 Wood 42 Wood, including bamboo 43 Bamboo 44 Cogon, nipa, anahaw 45 Thatch (straw, grass, leaves, palm, etc.) 46 Cane, wood, straw 47 Grass or straw 48 Papyrus 49 Banana leaves or fiber 50 Palm or makuti 51 Straw, bamboo, polythene 52 Wood with clay 53 Grass and mud 54 Rustic mat 60 Mud or earth 61 Clay 70 Cardboard, scrap, and miscellaneous materials 71 Discarded or scrap material 72 Cardboard 73 Plastic, tarpaulin 80 Other, unspecified 90 No roof 99 Unknown/missing Dwelling Characteristics Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Morocco 1982: All households This variable records the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Morocco 1982: All households This variable records the number of persons in the household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 39 39 40 40 41 41 45 45 55 55 58 58 Technical Household Variables -- HOUSEHOLD Absent status (household head) <svar v="MA82A401 MA82A028" a="all">Q04: Residence status<br /><div class="i1">[] 1 R.P. -- Resident present<br />[] 2 R.T.A. -- Resident temporarily absent</div><br /></svar> Morocco 1982: All households This variable records the presence or absence of residents in the dwelling on the day of the Census. 1 Present, primary dwelling 2 Absent, primary dwelling 9 Unknown Other Household Variables -- HOUSEHOLD Dwelling occupancy <svar v="MA82A050" a="all">24. Mode of occupancy of the dwelling unit<br /><div class="i1">[] 1 Dwelling occupied by a household resident at time of the census<br />[] 2 Dwelling occupied by a household temporarily absent at time of the census<br />[] 3 Dwelling empty / vacant<br />[] 4 Secondary or seasonal dwelling<br />[] 5 Other</div><br /></svar> <svar v="MA82A050" a="all"><span class="em">Status of residence in dwelling</span>: During the census reference date, residents of a dwelling could be present or temporarily absent. A dwelling could be under construction, empty, secondary or seasonal. The following are definitions of these cases.<br /><div class="i1">[] "Dwelling where residents are present during the census": is about every dwelling usually occupied by one or several households during the census reference date.<br /><br />[] "Dwelling where residents are temporarily absent": is about every dwelling usually occupied by one or several households, but absent during census reference date.<br /><br />[] "Secondary or seasonal dwelling": is every dwelling used as a secondary residence by the household that has a primary residence. In this category we find also dwellings owned by Moroccan residents abroad but occupied during vacations.<br /><br />[] "Empty dwelling": is a non-secondary or residential dwelling not occupied by any household during the census reference date. Only dwellings prepared for residence and not demolished are considered such. In addition, only certain types of dwellings are considered: villa, apartment, Moroccan modern house or Moroccan traditional house. Hence, rural houses and slums are not to be considered.</div><br /></svar> Morocco 1982: All households This variable records the dwelling's occupancy status. 1 Members present 2 Members absent 3 Empty dwelling / vacant 4 Secondary or seasonal dwelling 5 Homeless person 7 Nomadic household 9 Unknown Other Household Variables -- HOUSEHOLD Dwelling type <svar v="MA82A051" a="all">25. Type of construction<br /><div class="i1">[This question was asked of households in urban areas.]<br /><br />[] 1 Villa, or flat in a villa<br />[] 2 Apartment, flat<br />[] 3 Moroccan traditional house<br />[] 4 Room in an institution<br />[] 5 Construction not designed for housing<br />[] 6 Other cases</div><br /></svar> <svar v="MA82A051" a="all"><span class="h2">Types of dwellings</span><br /><span class="em">Villa or flat in a villa</span> according to its normal definition is every building prepared for residence, separated from its architectural stand of point and not over two stories, usually having a garden. A villa could be used for other things than residence during the census period.<br /><br /><span class="em">Apartment</span> is within a building that is prepared for collective housing and made up of several standalone apartments. It could be used for residential or other purposes.<br /><br /><span class="em">Moroccan traditional house</span> is an individual building, with traditional architecture or those other than villas and apartments.<br /><br /><span class="em">Room in an institution</span> is a room or several rooms in an institution (hotel, school, factory, mosque) used for residence during the census period.<br /><br /><span class="em">Construction not designed for housing</span> is every location that was built for other purposes than residence but it is being used as residence during the census period.<br /><br /><span class="em">Other cases</span> about other types not mentioned above.<br /></svar> Morocco 1982: All households This variable records the dwelling type. 1 Villa, or flat in a villa 2 Apartment, flat 3 Traditional Moroccan house 4 Room in an institution 5 Construction not designed for housing 6 Other cases 7 Rural dwellings 9 Unknown Group Quarters Variables -- HOUSEHOLD Material of the walls <svar v="MA82A052" a="all">26. Wall material<br /><div class="i1">[] 1 Stone or bricks, with cement<br />[] 2 Stone, with dried earth<br />[] 3 Stone, without cement or earth<br />[] 4 Adobe<br />[] 5 Wood, iron sheets, branches, reeds<br />[] 6 Other material</div><br /></svar> 26. Basic construction material <br />[This is question 25 for rural dwellings]</p> <p>a. Walls:</p> <div class="i1">[] 1 Rocks or bricks with cement<br />[] 2 Rock with clay<br />[] 3 Rock only<br />[] 4 Tabia (clay and straw)<br />[] 5 Wood, zinc, grass, cane<br />[] 6 Other material</div> Morocco 1982: All households This variable records the material of the dwelling's walls. 1 Stone or brick, with cement 2 Stone, with dried earth 3 Stone, no cement or earth 4 Adobe 5 Wood, iron sheet, branches, reeds 6 Other material 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Roof <svar v="MA82A053" a="all">26. Roof material<br /><div class="i1">[] 1 Flat concrete roof<br />[] 2 Wood, branches, reeds, covered with earth<br />[] 3 Wood, branches, reeds, not covered with earth<br />[] 4 Iron sheets<br />[] 5 Wood planks and tiles<br />[] 6 Other material</div><br /></svar> 26. Basic construction material <br />[This is question 25 for rural dwellings]</p> <p>b. Ceiling:</p> <div class="i1">[] 1 Dalla (reinforced concrete)<br />[] 2 Wood, grass covered with clay<br />[] 3 Wood, grass or cane not covered<br />[] 4 Iron or zinc<br />[] 5 Wood or bricks<br />[] 6 Other material</div> Morocco 1982: All households This variable records the material of the dwelling's roof. 1 Concrete (flat roof) 2 Wood, branches, reeds, covered with earth 3 Wood, branches, reeds, not covered with earth 4 Iron sheet 5 Wood planks and tiles 6 Other material 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Kitchen <svar v="MA82A054" a="all">27a. Kitchen<br /><div class="i1">[] 0 No<br />[] 1 Yes, private<br />[] 2 Yes, shared</div><br /></svar> 27. Housing equipment <br />[This is question 26 for rural dwellings]</p> <p>a. Kitchen:</p> <div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 0 Not available</div> Morocco 1982: All households This variable records whether the dwelling has a kitchen. 1 No 2 Yes, private 3 Yes, shared 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Water closet / toilet <svar v="MA82A055" a="all">27b. Toilet/WC inside the dwelling<br /><div class="i1">[] 0 No<br />[] 1 Yes, private<br />[] 2 Yes, shared</div><br /></svar> 27. Housing equipment <br />[This is question 26 for rural dwellings]</p> <p>b. Bathroom within dwelling:</p> <div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 0 Not available</div> Morocco 1982: All households This variable records whether the dwelling has a water closet or toilet. 1 No 2 Yes, private 3 Yes, shared 9 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Modern bathroom / shower <svar v="MA82A056" a="all">27c. Modern bathroom or shower inside the dwelling<br /><div class="i1">[] 0 No<br />[] 1 Yes, private<br />[] 2 Yes, shared</div><br /></svar> 27. Housing equipment <br />[This is question 26 for rural dwellings]</p> <p>c. Modern bathroom or shower within dwelling:</p> <div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 0 Not available</div> Morocco 1982: Non-nomadic households [discrepancies: none] This variable records whether the dwelling has a modern bathroom or shower. 1 No 2 Yes, private 3 Yes, shared 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Traditional bathroom <svar v="MA82A057" a="all">27d. Traditional Moroccan bathroom inside the dwelling<br /><div class="i1">[] 0 No<br />[] 1 Yes, private<br />[] 2 Yes, shared</div><br /></svar> 27. Housing equipment <br />[This is question 26 for rural dwellings]</p> <p>d. Local bathroom within dwelling:</p> <div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 0 Not available</div> Morocco 1982: Non-nomadic households [discrepancies: none] This variable records whether the dwelling has a traditional bathroom. 1 No 2 Yes, private 3 Yes, shared 8 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Public water supply connection <svar v="MA82A058" a="all">27e. Is the dwelling connected to a public water supply network?<br /><div class="i1">[] 0 No<br />[] 1 Yes</div><br /></svar> 27. Housing equipment <br />[This is question 26 for rural dwellings]</p> <p>e. Public water supply network:</p> <div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 0 Not available</div> Morocco 1982: Non-nomadic households [discrepancies: none] This variable records whether the dwelling is connected to the public water supply. 1 No 2 Yes, private 3 Yes, shared 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Other water supply (spring, well) <svar v="MA82A059" a="all">27f. Water from a spring or from a well inside the dwelling?<br /><div class="i1">[] 0 No<br />[] 1 Yes, private<br />[] 2 Yes, shared</div><br /></svar> 27. Housing equipment <br />[This is question 26 for rural dwellings]</p> <p>f. Water from well within dwelling:</p> <div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 0 Not available</div> Morocco 1982: Non-nomadic households [discrepancies: none] This variable records whether the dwelling is connected to another water supply (e.g., spring, well). 1 No 2 Yes, private 3 Yes, shared 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Electricity <svar v="MA82A060" a="all">27g. Is the dwelling connected to a public network of electricity distribution, or supplied with an electric generator?<br /><div class="i1">[] 0 No<br />[] 1 Yes</div><br /></svar> 27. Housing equipment <br />[This is question 26 for rural dwellings]</p> <p>g. Public electricity supply network:</p> <div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 0 Not available</div> Morocco 1982: Non-nomadic households [discrepancies: none] This variable records whether the dwelling has electricity. 1 No 2 Yes, private 3 Yes, shared 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Lighting (non-electric source) <svar v="MA82A061" a="all">28. Source of lighting (for households not supplied with electricity)<br /><div class="i1">[] 1 Petrol lamp<br />[] 2 Gas lamp (butane)<br />[] 3 Traditional lamp (<span class="lang">kandyle</span>)<br />[] 4 Candle<br />[] 5 Other cases</div><br /></svar> 27. Housing equipment <br />[This is question 26 for rural dwellings]</p> <p>28. Lighting method (for housing with no electricity): <br />[This is question 27 for rural dwellings]</p> <div class="i1">[] 1 Lighting with gasoline<br />[] 2 Lighting with gas<br />[] 3 Kandil<br />[] 4 Candle<br />[] 5 Other cases</div> Morocco 1982: Non-nomadic households without electricity [discrepancies: type I none; type II 0.6%] This variable records the dwelling's type of lighting (from a source other than electricity). 1 Petrol lamp 2 Gas lamp (butane) 3 Traditional lamp (kandyle) 4 Candle 5 Other cases 8 Unknown 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Dwelling ownership <svar v="MA82A062" a="all">29. Tenancy status of the dwelling<br /><div class="i1">[] 1 Landlord or owner<br />[] 2 In process of becoming owner<br />[] 3 Tenant<br />[] 4 Under mortgage<br />[] 5 Housing provided by employer<br />[] 6 Free lodging<br />[] 7 Other cases</div><br /></svar> 29. Status of occupation: <br />[This is question 28 for rural dwellings]</p> <div class="i1">[] 1 Owner or associated partner<br />[] 2 Towards ownership<br />[] 3 Tenant<br />[] 4 Mortgage<br />[] 5 Accommodation that goes with the job<br />[] 6 Housed for free<br />[] 7 Other cases</div> Morocco 1982: Non-nomadic households [discrepancies: none] This variable records the dwelling's ownership status. 1 Landlord / owner 2 In process of becoming owner 3 Tenant 4 Mortgage 5 Provided by employer 6 Free lodging 7 Other cases 8 Unknown 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Number of rooms <svar v="MA82A063" a="all">30. Number of rooms occupied by the household<br /><div class="i1">_____</div><br /></svar> 30. Number of rooms inhabited by household <br />[This is question 29 for rural dwellings] Morocco 1982: Non-nomadic households [discrepancies: none] This variable records the dwelling's number of rooms. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of persons in household <svar v="MA82A019 MA82A020 MA82A021 MA82A022 MA82A023 MA82A024 MA82A025 MA82A026 MA82A027 MA82A065" a="all">1. Province or <span class="lang">préfecture</span><br />2. <span class="lang">Cercle</span><br />3. Municipality or <span class="lang">centre autonome</span> or <span class="lang">commune rurale</span> 3. <span class="lang">Centre</span><br />4. Fraction<br />5. <span class="lang">Douar</span><br />6. Census track [<span class="lang">district de recensement</span>]<br />7. Dwelling unit number [<span class="lang">numéro du logement</span>]<br />8. Number of households in the dwelling unit<br />9. Household number [<span class="lang">numéro du ménage</span>]<br />10. Number of questionnaires filled for this household<br />11. Does the household head have a vital registration booklet?<br />12. If yes, year of issue of this booklet<br />13. Number of resident household members (not counting the visitors)<br /><div class="i1">Moroccan __<br />Foreigner __<br />Total __</div><br />14. Precise address of the dwelling unit<br />15. Name of the census enumerator<br />16. Name of the respondent<br />17. Date of interview<br />18. Name of the supervisor<br />19. Date of the supervision<br /><div class="i1">in the office _____<br />in the field _____</div><br />20. Signature of the supervisor<br />21. Observations<br /></svar> Morocco 1982: All households This variable records the number of persons in the dwelling. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27+ 99 Unknown Other Household 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 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 births last year BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. 0 None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Children surviving from births last year BIRTHSURV indicates the number of children born in the past twelve months who were still living at the time of the census. 0 0 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children dead CHDEAD reports how many of the children ever born to a woman were no longer living at the time of the census. Women were to consider all live births by all fathers; they were to exclude still births. 00 None 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20+ 98 Unknown/missing 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of 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 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 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 Citizenship CITIZEN indicates the person's citizenship status within the country in which they were enumerated. 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON 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 Language of literacy, Morocco LANGMA2 indicates the language of literacy in Morocco. 1 Arabic only 2 Arabic and French 3 Arabic, French, and other 4 Arabic and other (not French) 5 Other 8 Unknown 9 NIU (not in universe) Ethnicity and Language 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, Morocco EDUCMA indicates the person's educational attainment in Morocco in terms of the level of schooling completed. 100 None 110 Preschool 200 Koranic school 300 Primary education (5 years) 301 Primary (5 years), grade 1 302 Primary (5 years), grade 2 303 Primary (5 years), grade 3 304 Primary (5 years), grade 4 305 Primary (5 years), grade 5 306 Primary (5 years), grade unknown 310 Basic education (9 years) 311 Basic (9 years), grade 1 312 Basic (9 years), grade 2 313 Basic (9 years), grade 3 314 Basic (9 years), grade 4 315 Basic (9 years), grade 5 316 Basic (9 years), grade 6 317 Basic (9 years), grade 7 318 Basic (9 years), grade 8 319 Basic (9 years), grade 9 320 Basic (9 years), grade unknown 400 Secondary education (7 years) 401 Secondary (7 years), grade 1 402 Secondary (7 years), grade 2 403 Secondary (7 years), grade 3 404 Secondary (7 years), grade 4 405 Secondary (7 years), grade 5 406 Secondary (7 years), grade 6 407 Secondary (7 years), grade 7 408 Secondary (7 years), grade unknown 410 Secondary education (3 years) 411 Secondary (3 years), grade 1 412 Secondary (3 years), grade 2 413 Secondary (3 years), grade 3 414 Secondary (3 years), grade unknown 500 Higher education 501 Higher, year 1 502 Higher, year 2 503 Higher, year 3 504 Higher, year 4 505 Higher, year 5 506 Higher, year 6 507 Higher, year 7 508 Higher, year 8 509 Higher, year 9 510 Higher education, year unknown 998 Unknown Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON Years residing in current locality MIGYRS1 indicates how many years the person has resided in their current locality of residence. 00 Less than 1 year 01 1 year (or 1 year or less) 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ years 96 Less than 5 years 97 More than 5 years 98 Unknown 99 NIU (not in universe) Migration: Global Variables -- PERSON Region of previous residence, Morocco; consistent boundaries, GIS MIG1ALT_P_MA indicates the person's region of previous residence within Morocco. The migration could have occurred at any time in the past. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 504001 Oued-Ed-Dahab-Lagouira Region 504002 Laayoune-Boujdour-Sakia El Hamra Region 504003 Guelmin-Es-Samara Region 504004 Souss-Massa-Draa Region 504005 Charb-Chrarda-Beni Hssen Region 504006 Chaouia-Ouardigha Region 504007 Marrakech-Tensift-Al Haouz Region 504008 Oriental Region 504009 Grand-Casablanca Region 504010 Rabat-Salé-Zemmour-Zaer Region 504011 Doukala Abda Region 504012 Tadla Azilal Region 504013 Meknes-Tafilalet Region 504014 Fès-Boulemane Region 504015 Taza-Al Heiceima-Taounate Region 504016 Tanger-Tétouan Region 504096 Persons living in tents 504097 Abroad 504098 Unknown Migration: F-N Variables -- PERSON Region of residence 7 years ago, Morocco; consistent boundaries, GIS MIG1ALT_7_MA indicates the person's region of residence seven years prior to the census within Morocco. Migration region codes from MIG1ALT_7_MA are compatible with codes from GEO1ALT_MA. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 504001 Oued-Ed-Dahab-Lagouira Region 504002 Laayoune-Boujdour-Sakia El Hamra Region 504003 Guelmin-Es-Samara Region 504004 Souss-Massa-Draa Region 504005 Charb-Chrarda-Beni Hssen Region 504006 Chaouia-Ouardigha Region 504007 Marrakech-Tensift-Al Haouz Region 504008 Oriental Region 504009 Grand-Casablanca Region 504010 Rabat-Salé-Zemmour-Zaer Region 504011 Doukala Abda Region 504012 Tadla Azilal Region 504013 Meknes-Tafilalet Region 504014 Fès-Boulemane Region 504015 Taza-Al Heiceima-Taounate Region 504016 Tanger-Tétouan Region 504097 Abroad 504098 Unknown 504099 NIU (not in universe) Migration: F-N Variables -- PERSON Province of previous residence, Morocco; consistent boundaries, GIS MIG2ALT_P_MA indicates the person's province of previous residence within Morocco. Migration province codes from MIG2ALT_P_MA are compatible with codes from GEO2ALT_MA. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 504001391 Oued-Ed-Dahab, Aousserd 504002321 Laâyoune, Boujdour 504003071 Assa-Zag 504003221 Es-Semara 504003261 Guelmim 504003521 Tan-Tan 504003551 Tata 504004001 Agadir-Ida Ou Tanane 504004163 Chtouka-Aït Baha 504004273 Inezgane-Aït Melloul 504004401 Ouarzazate, Zagora 504004541 Taroudannt 504004581 Tiznit 504005281 Kénitra 504005481 Sidi-Kacem 504006111 Benslimane 504006311 Khouribga 504006461 Settat 504007041 Al Haouz 504007161 Chicaoua 504007191 El Kelaâ des Sraghna 504007211 Essaouira 504007351 Marrakech, Marrakech-Menara, Marrakech-Medina, Sidi Youssef-Ben ali 504008113 Berkane, Taourirt 504008251 Figuig 504008275 Jerada 504008381 Nador 504008411 Oujda-Angad 504009141 Casablanca, Ain Chock-Hay Hassani, Ain Sebaa-Hay Mohammadi, Al Fida-Derb Sultan, Ben Msick-Sidi Othmane, Machouar-Casablanca, Sidi Bernoussi-Zenata 504009371 Mohammedia 504010291 Khémisset 504010421 Rabat 504010441 Salé 504010501 Skhirate-Témara 504011181 El-Jadida 504011431 Safi 504012081 Azilal 504012091 Béni Mellal 504013061 Meknès, Al Ismalia 504013171 El Hajeb 504013201 Errachidia 504013271 Ifrane 504013301 Khénifra 504014131 Boulemane 504014231 Fès, Fès-Medina, Fès El Jadid Dar Dibbagh 504014451 Sefrou 504014591 Moulay Yacoub 504015051 Al Hoceïma 504015531 Taounate 504015561 Taza 504016151 Chefchaouen 504016331 Tanger-Assilah, Fahs-Anjra 504016511 Larache 504016571 Tétouan 504096096 Persons living in tents 504097097 Abroad 504098098 Unknown Migration: F-N Variables -- PERSON Province of residence 7 years ago, Morocco; consistent boundaries, GIS MIG2ALT_7_MA indicates the person's province of residence seven years ago (at the time of the Green March (Nov 6, 1975) within Morocco. Migration province codes from MIG2ALT_7_MA are compatible with codes from GEO2ALT_MA. Click on the Source Variables tab for information on place of residence for each sample year. Source variables may contain more geographic unit detail but are not suitable for cross-temporal comparison. 504001391 Oued-Ed-Dahab, Aousserd 504002321 Laâyoune, Boujdour 504003071 Assa-Zag 504003221 Es-Semara 504003261 Guelmim 504003521 Tan-Tan 504003551 Tata 504004001 Agadir-Ida Ou Tanane 504004163 Chtouka-Aït Baha 504004273 Inezgane-Aït Melloul 504004401 Ouarzazate, Zagora 504004541 Taroudannt 504004581 Tiznit 504005281 Kénitra 504005481 Sidi-Kacem 504006111 Benslimane 504006311 Khouribga 504006461 Settat 504007041 Al Haouz 504007161 Chicaoua 504007191 El Kelaâ des Sraghna 504007211 Essaouira 504007351 Marrakech, Marrakech-Menara, Marrakech-Medina, Sidi Youssef-Ben ali 504008113 Berkane, Taourirt 504008251 Figuig 504008275 Jerada 504008381 Nador 504008411 Oujda-Angad 504009141 Casablanca, Ain Chock-Hay Hassani, Ain Sebaa-Hay Mohammadi, Al Fida-Derb Sultan, Ben Msick-Sidi Othmane, Machouar-Casablanca, Sidi Bernoussi-Zenata 504009371 Mohammedia 504010291 Khémisset 504010421 Rabat 504010441 Salé 504010501 Skhirate-Témara 504011181 El-Jadida 504011431 Safi 504012081 Azilal 504012091 Béni Mellal 504013061 Meknès, Al Ismalia 504013171 El Hajeb 504013201 Errachidia 504013271 Ifrane 504013301 Khénifra 504014131 Boulemane 504014231 Fès, Fès-Medina, Fès El Jadid Dar Dibbagh 504014451 Sefrou 504014591 Moulay Yacoub 504015051 Al Hoceïma 504015531 Taounate 504015561 Taza 504016151 Chefchaouen 504016331 Tanger-Assilah, Fahs-Anjra 504016511 Larache 504016571 Tétouan 504097097 Abroad 504098098 Unknown 504099099 NIU Migration: F-N Variables -- PERSON Employment disability DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) Disability Variables -- PERSON Person number (within household) Morocco 1982: All persons This variable records the person number (within the household). 00 Household record 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 Technical Person Variables -- PERSON Relationship to head of household <svar v="MA82A066 MA82A067 MA82A400" a="all">Q03: Relationship to the head of household<br /><div class="i1">[] 1 Head of household<br />[] 2 Spouse of the household head<br />[] 3 Child (son or daughter)<br />[] 4 Parent (father or mother)<br />[] 5 In-law children (son or daughter in-law)<br />[] 6 Other relative<br />[] 7 Not related by blood</div><br /></svar> 3. Relationship to household head:</p> <div class="i1">[] 1 Household head<br />[] 2 His wife<br />[] 3 Son or daughter<br />[] 4 Father or mother<br />[] 5 Son-in-law or daughter-in-law<br />[] 6 Other relative to determine<br />[] 7 No relationship</div> Morocco 1982: All persons This variable records the respondent's relationship with the household head. 1 Head 2 Spouse 3 Son/daughter 4 Mother/father 5 Son/daughter in-law 6 Other relative 7 No kin relation 9 Unknown Demographic Variables -- PERSON Absent status <svar v="MA82A401 MA82A028" a="all">Q04: Residence status<br /><div class="i1">[] 1 R.P. -- Resident present<br />[] 2 R.T.A. -- Resident temporarily absent</div><br /></svar> <svar v="MA82A401"><span class="em">Residence</span>: resident is anyone living in a place or planning to live in it for at least 6 months. In the census context:<br /><div class="i1">[] "Present resident" is anyone present at his usual place of residence during the census reference date.<br />[] "Resident temporarily absent" is anyone absent from his usual residence for a period of fewer than 6 months.<br />[] "Transit individual" is anyone living in a place different than his usual residence for a period fewer than 6 months. Transit individuals, whether living in hotels or ordinary households, are not counted towards the legal population.</div><br /></svar></p> <p><svar v="MA82A401" a="all">4. Status of residence:<br /><div class="i1">[] 1 "Resident present" is anyone present at his usual place of residence during the census reference date<br />[] 2 "Resident temporarily absent" is anyone absent from his usual resident for a period shorter than 6 months.</div><br /></svar> Morocco 1982: All persons This variable records whether the respondent is present at the time of the Census. 1 Present 2 Absent Other Person Variables -- PERSON Sex <svar v="MA82A402" a="all">Q05: Sex<br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> 5. Sex:</p> <div class="i1">Always ask this question<br /><br />[] 1 Male<br />[] 2 Female</div> Morocco 1982: All persons This variable records the sex of the respondent. 1 Male 2 Female Demographic Variables -- PERSON Age (in years) <svar v="MA82A404" a="all">Q06: Date of birth or age<br /><div class="i1">(Specify the date of birth or the age, depending on declaration)<br /><br />- Date of birth:<br />(Example: a persons declares being born on February 4, 1967, write down 4 February 1967, in write in the appropriate boxes: 0 2 / 1 9 6 7<br /><div class="i2">MM in months _ _<br />YYYY in years _ _ _ _</div><br /><br />- Age:<br />(Example: a persons declares being 47 years of age, write down 47 boxes: 4 7<br />(For children younger that 1 year of age, write "00")</div><br /><div class="i2">_ _</div><br /></svar> 6. Date of birth or age</p> <div class="i1">Show clearly date of birth or age according to declaration.<br /><br />a. Date of birth example: Declared 9 July 1953, write "07" "1953"<br /><br />b. Age in years example: Declared [to be] 48 years old. Put "48".<br /><br />For [persons] younger than 1 year, write "00".</div> Morocco 1982: All persons This variable records the age of the respondent (in years). 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98+ Demographic Variables -- PERSON Marital status <svar v="MA82A405" a="all">Q07: Marital status<br /><div class="i1">[] 1 Single<br />[] 2 Married<br />[] 3 Widowed<br />[] 4 Divorced</div><br /></svar> <svar v="MA82A405" a="all">7. Marital status:<br /><div class="i1">[] 1 Single: never married<br />[] 2 Married: is anyone legally/religiously married even if the marriage has not been consummated yet<br />[] 3 Widowed: husband or wife died<br />[] 4 Divorced: is everyone legally/religiously divorced with a judgment</div><br /></svar> Morocco 1982: All persons This variable records the marital status of the respondent. 1 Single 2 Married 3 Widowed 4 Divorced Demographic Variables -- PERSON Country of citizenship <svar v="MA82A406" a="all">Q08: Nationality<br /><div class="i1">[] 01 Moroccan<br />[] 02 Algerian<br />[] 03 Tunisian<br />[] 40 French<br />[] 41 Spanish<br /><br />Other nationality: specify, without coding ________________</div><br /></svar> 8. Nationality:</p> <div class="i1">[] 01 Moroccan<br />[] 02 Algerian<br />[] 03 Tunisian<br />[] 40 French<br />[] 41 Spanish, other nationality mention but do not code. Coding [will be] applied at later stage of questionnaire processing.</div> Morocco 1982: All persons This variable records the country of citizenship of the respondent. 01 Morocco 02 Algeria 03 Tunisia 07 Egypt 10 Libya 12 Mauritania 18 Congo Brazzaville 20 Other African countries 25 United Arab Emirates 26 India 27 Iraq 29 Kuwait 33 Qatar 37 Palestine 39 Other Asian or Middle Eastern countries 40 France 41 Spain 42 Belgium 43 Bulgaria 49 Italy 52 Poland 53 Portugal 55 Romania 57 Sweden 59 Russia 60 Other European country 70 North and Central American countries 99 Unknown Nativity and Birthplace Variables -- PERSON Years at current residence (commune) <svar v="MA82A410" a="all">Q11: Duration of residence<br /><div class="i1">Specify the duration of residence in the place where the person currently lives.<br />For persons who never moved from the place where they are enumerated, write "MRA = same as actual residence".<br /><br />_______________</div><br /></svar> 11. Length of residence <br />Remember the length of the residence in the town or village where the person lives. For people who never changed their town or village of residence, write "MRA". Morocco 1982: All persons This variable records the number of years spent at the current residence by the respondent. 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+ 98 Same as current residence 99 Unknown Migration: Global Variables -- PERSON Number of children living in household <svar v="MA82A412 MA82A413 MA82A414 MA82A415 MA82A416"><span class="em">Life time fertility</span><br />[For women who are married, widowed or divorced and age 50 or younger, specify the total number of live births]<br /></svar></p> <p><svar v="MA82A412 MA82A413 MA82A414" a="all">Q13a: Number of children currently living in the household ______<br /><br />Q13b: Number of children not currently living in the household (living elsewhere) _____<br /><br />Q13c: Number of children who died _______<br /></svar> 13. For married, widowed, divorced women age 50 or younger, write the total of children born alive (male and female)</p> <div class="i1">During the life span of the mentioned women:<br />a. Who live currently within the household<br />b. Who do not live currently within the household, but lives in Morocco<br />c. Who died<br /><br />During the last 12 months, write the total of children for women younger than 51:<br />d. Who are still alive<br />e. Who died</div> Morocco 1982: Ever-married women age 50 or younger [discrepancies: none] This variable records the respondent's number of children who are living in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children living outside household <svar v="MA82A412 MA82A413 MA82A414 MA82A415 MA82A416"><span class="em">Life time fertility</span><br />[For women who are married, widowed or divorced and age 50 or younger, specify the total number of live births]<br /></svar></p> <p><svar v="MA82A412 MA82A413 MA82A414" a="all">Q13a: Number of children currently living in the household ______<br /><br />Q13b: Number of children not currently living in the household (living elsewhere) _____<br /><br />Q13c: Number of children who died _______<br /></svar> 13. For married, widowed, divorced women age 50 or younger, write the total of children born alive (male and female)</p> <div class="i1">During the life span of the mentioned women:<br />a. Who live currently within the household<br />b. Who do not live currently within the household, but lives in Morocco<br />c. Who died<br /><br />During the last 12 months, write the total of children for women younger than 51:<br />d. Who are still alive<br />e. Who died</div> Morocco 1982: Ever-married women age 50 or younger [discrepancies: none] This variable records the respondent's number of children living elsewhere (outside the household). 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children deceased <svar v="MA82A412 MA82A413 MA82A414 MA82A415 MA82A416"><span class="em">Life time fertility</span><br />[For women who are married, widowed or divorced and age 50 or younger, specify the total number of live births]<br /></svar></p> <p><svar v="MA82A412 MA82A413 MA82A414" a="all">Q13a: Number of children currently living in the household ______<br /><br />Q13b: Number of children not currently living in the household (living elsewhere) _____<br /><br />Q13c: Number of children who died _______<br /></svar> 13. For married, widowed, divorced women age 50 or younger, write the total of children born alive (male and female)</p> <div class="i1">During the life span of the mentioned women:<br />a. Who live currently within the household<br />b. Who do not live currently within the household, but lives in Morocco<br />c. Who died<br /><br />During the last 12 months, write the total of children for women younger than 51:<br />d. Who are still alive<br />e. Who died</div> Morocco 1982: Ever-married women age 50 or younger [discrepancies: none] This variable records the respondent's number of children that are now deceased. 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+ 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children born in past 12 months, still alive <svar v="MA82A412 MA82A413 MA82A414 MA82A415 MA82A416"><span class="em">Life time fertility</span><br />[For women who are married, widowed or divorced and age 50 or younger, specify the total number of live births]<br /></svar></p> <p><svar v="MA82A415 MA82A416" a="all"><span class="em">Fertility in the past 12 months</span><br /><br />Q13d: Number of children still alive _______<br /><br />Q13e: Number of children who died _______<br /></svar> 13. For married, widowed, divorced women age 50 or younger, write the total of children born alive (male and female)</p> <div class="i1">During the life span of the mentioned women:<br />a. Who live currently within the household<br />b. Who do not live currently within the household, but lives in Morocco<br />c. Who died<br /><br />During the last 12 months, write the total of children for women younger than 51:<br />d. Who are still alive<br />e. Who died</div> Morocco 1982: Ever-married women age 50 or younger [discrepancies: none] This variable records the respondent's number of children born in the past 12 months, who are still alive. 0 0 1 1 2 2 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children born in past 12 months, who died <svar v="MA82A412 MA82A413 MA82A414 MA82A415 MA82A416"><span class="em">Life time fertility</span><br />[For women who are married, widowed or divorced and age 50 or younger, specify the total number of live births]<br /></svar></p> <p><svar v="MA82A415 MA82A416" a="all"><span class="em">Fertility in the past 12 months</span><br /><br />Q13d: Number of children still alive _______<br /><br />Q13e: Number of children who died _______<br /></svar> 13. For married, widowed, divorced women age 50 or younger, write the total of children born alive (male and female)</p> <div class="i1">During the life span of the mentioned women:<br />a. Who live currently within the household<br />b. Who do not live currently within the household, but lives in Morocco<br />c. Who died<br /><br />During the last 12 months, write the total of children for women younger than 51:<br />d. Who are still alive<br />e. Who died</div> Morocco 1982: Ever-married women age 50 or younger [discrepancies: none] This variable records the respondent's number of children born in the past 12 months, who died. 0 0 1 1 2 2 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Literacy <svar v="MA82A417 MA82A418 MA82A419 MA82A420">[Questions 14-17 are for persons age 10 or older]<br /></svar></p> <p><svar v="MA82A417" a="all">Q14: Literacy (knows to read and write)<br /><div class="i1">[] 0 None<br />[] 1 Arabic only<br />[] 2 Arabic and French only<br />[] 3 Arabic, French and other languages<br />[] 4 Arabic and languages other than French<br />[] 5 Other languages, specify _____________</div><br /></svar> For persons age 10 or older</p> <p>14. Read and write:</p> <div class="i1">[] 0 None<br />[] 1 Only Arabic<br />[] 2 Arabic and French alone<br />[] 3 Arabic, French and other languages to be mentioned<br />[] 4 Arabic and other languages excluding French<br />[] 5 Other cases to be mentioned</div> Morocco 1982: Persons age 10+ [discrepancies: none] This variable records the literacy status of the respondent. 0 Illiterate 1 Arabic only 2 Arabic and French only 3 Arabic, French, and another language 4 Arabic and another language (not French) 5 Other cases 9 NIU (not in universe) Education Variables -- PERSON Diploma / highest degree completed <svar v="MA82A417 MA82A418 MA82A419 MA82A420">[Questions 14-17 are for persons age 10 or older]<br /></svar></p> <p><svar v="MA82A418" a="all">Q15: Highest degree obtained<br /><div class="i1">Specify the highest degree obtained in school, university or vocational school<br /><br />_________________________</div><br /></svar> For persons age 10 or older</p> <p>15. Highest educational degree:</p> <div class="i1">[] Primary<br />[] Secondary<br />[] Tertiary or professional</div> Morocco 1982: Persons age 10+ [discrepancies: none] This variable records the diploma or highest degree completed by the respondent. It deals with particular named degrees and diplomas, and does not necessarily reflect the respondent's level of general schooling. 00 No degree/diploma 01 Primary education (CEP) 02 Secondary education (CESM, CES, CEPC, CIEC, BM, CENM, CUQ, DIS) 03 Secondary education second cycle, humanities baccalaureate (modern and classical literary studies) 04 Secondary education second cycle, scientific baccalaureate (experimental sciences, physics, mathematics, economics) 05 Higher education first cycle, scientific baccalaureate (CUEL, CUES, DEUG, and similar) 06 Law degree (political sciences) 07 Economics degree 08 Arts degree (sociology, philosophy, geography, languages, and similar) 09 Science degree (physics, chemistry, biology, mathematics, and similar) 10 Third cycle education 11 Doctorate 12 Other diplomas of general studies 13 Teacher, graduate of regional schools for teachers 14 Teacher, graduate of regional pedagogical centers 15 Teacher, graduate of higher normal school 16 Public administration (public administration school): administrator and authority agent 17 Business management and higher business studies 18 Journalism, information and similar 20 Agronomy, agriculture engineer in forestry and agronomy technologies 21 Geology, mining engineer 22 Civil engineer (public works, construction, bridges and roads, highways) 23 Mechanical, industrial production, metallurgy, aeronautics engineer 24 Electronics, electrical, transmissions, automatism, informatics engineer 25 Statistical engineer, demographer 26 Architect, urban planner 27 Other engineer (chemical, textile) 29 Physician, specialized physician, dentistry surgeon, veterinarian 30 Pharmacist 31 Other diplomas for specialized and professional education (pilots, biologists, bacteriologists, etc.) 32 Industrial technologies: university diploma of technology (DUT) or patent of specialized technician (BTS) 33 Mechanics, metallurgy, smelting, industrial design 34 Transmission, electricity, electronics, automatism 36 Agriculture, forestry 37 Civic engineering, architecture (construction design), topography 38 Hospitality, tourism 39 Statistics, informatics, documentation 40 Accounting, business 41 Hygiene, sanitation, overall public health 42 Pharmacy (preparatory), laboratory, industrial chemistry 43 Other diplomas for higher technical specialties 44 Industrial technologies: Moroccan technical diploma or technical baccalaureate or patent of professional studies 45 Business technician (Moroccan technical diploma or technical baccalaureate), accounting, generic business 46 Agriculture, forestry, livestock 48 Civic engineering, architecture, urban planning, topography 49 Mechanics, metallurgy, smelting, industrial design 50 Transmission, electricity, electronics, automatism 52 Statistics, informatics (programmer), documentation 53 Hospitality, restaurant, tourism 54 Public health (state nurse, anesthesiologist) 55 Other diplomas for technical specialties 56 Industrial technologies (CET, BET, CAP, BEI) 57 Business technologies (CET, BET, CAP, BEC) 59 Mechanical production 62 Sheet metal 63 Other mechanics 68 Office machinery 69 Plumbing 72 General electricity 74 Overall electricity 76 Wood carpentry 78 Masonry 81 Accounting 82 Dactilography, steno-dactilography 83 Secretary (secretary, administrative secretary) 85 Tailor, fashion designer 90 Hotel (hospitality-restaurant, event planner) 92 Other qualified employment 93 Baccalaureate nec 94 Licence nec 98 Unknown 99 NIU (not in universe) Education Variables -- PERSON Last general education level completed <svar v="MA82A417 MA82A418 MA82A419 MA82A420">[Questions 14-17 are for persons age 10 or older]<br /></svar></p> <p><svar v="MA82A419" a="all">Q16: Level of education<br /><div class="i1">Highest grade completed in general education system<br /><br />________________<br /><br />Examples: Kindergarten; Preschool (<span class="lang">maternelle</span>); Koranic school; Primary school, third grade (CE2); Secondary school, eight grade (<span class="lang">4-ème</span>); Medical school, second year; etc.</div><br /></svar> For persons age 10 or older</p> <p>16. Last educational level attained in public school: Morocco 1982: All persons This variable records the last year of general education completed by the respondent. 00 None 01 Primary, year 1 02 Primary, year 2 03 Primary, year 3 04 Primary, year 4 05 Primary, year 5 06 Primary, year unknown 07 Secondary, year 1 08 Secondary, year 2 09 Secondary, year 3 10 Secondary, year 4 11 Secondary, year 5 12 Secondary, year 6 13 Secondary, year 7 14 Secondary, year unknown 15 Tertiary, year 1 16 Tertiary, year 2 17 Tertiary, year 3 18 Tertiary, year 4 19 Tertiary, year 5 20 Tertiary, year 6 21 Tertiary, year 7 22 Tertiary, year unknown 98 Unknown Education Variables -- PERSON Employment status <svar v="MA82A420" a="all">Q17: Activity status<br /><div class="i1">[] 0 AO -- Active, employed<br />[] 1 CH -- Jobless, never worked<br />[] 2 CH2 -- Jobless, has worked before<br />[] 3 FF -- Housewife<br />[] 4 EC -- Student, pupil<br />[] 5 RET -- Retired, pensioned, or living on private means<br />[] 6 MAL -- Disabled, handicapped, sick person<br />[] 7 JEU -- Too young to work<br />[] 8 AUT -- Other cases</div><br /></svar> <svar v="MA82A420" a="all">17. Activity type:<br /><div class="i1">"Actively employed": Considered actively employed are every person, man or woman, age 7 or older who declared at the census reference date that he/she has a professional activity. According to this definition, individuals who have certain jobs (farmers, individuals with periodical jobs), even if they were not practicing their activity during the census period, are considered to be actively employed. Include also individuals with a job but [who were] absent from their job during the census period because of annual leave, sickness, accident.<br /><br />"Unemployed, never worked before": Active unemployed is anyone no younger than 15 years old, and declared that he/she has no job at the census reference date, but is looking for it. These individuals have worked in the past.<br /><br />"Unemployed, has worked in the past": Active unemployed is anyone no younger than 15 years old, and declared that he/she has no job at the census reference date, but is looking for it. These individuals never worked before.<br /><br />"Housewife": Every girl or woman age 15 or older who does not practice any work but takes care of the house and household members (cleaning, cooking). Not all women are to be automatically classified in this category. The enumerator should separate housewives and women that do some activities (weaving, agriculture, servant) for money or in-kind value. These women should be classified in the former categories according to the status during the census.<br /><br />"Student": Every individual whose primary activity is limited to going to school or a professional training establishment during the 2003-2004 school year, also if he was not planning to attend next year. But the student who finished his schooling is considered active: occupied or unemployed depending on his situation.<br />If a student has a part-time job, even it was paid, he is still considered to be a student. In addition, a student civil servant is considered a student even if receiving salary. However, an employee who is a taking night classes or education to improve his skills is considered as actively employed.<br /><br />"Landlord or retired": He/she is not active. His earnings are from renting out properties (apartment, farmland) or his earnings are from retirement plans from private or government establishments. But, if this person is practicing economical activities, then he/she should be considered actively employed.<br /><br />"Sick or handicapped" is every person whose handicap/illness prevents him from doing any job.<br /><br />"Child" [Too young to work]: Age 15 or younger, does not work and is not in school.<br /><br />"Other cases"</div><br /></svar> Morocco 1982: All persons This variable records the respondent's employment status. 0 Employed 1 Jobless, never worked 2 Jobless, worked before 3 Housewife 4 Student, pupil 5 Retired, living on own means 6 Disabled / impaired 7 Too young to work 8 Other cases 9 Too old to work Work Variables -- PERSON Number of days worked since 7/23/82 <svar v="MA82A421 MA82A422">During the period from the <span class="lang">Aid el Fitr</span> festival (July 23, 1982) to the reference date for the census:<br />[For housewives and other inactive persons (other than pupils and students) age 15 or older]<br />[Questions 18-19.]<br /></svar></p> <p><svar v="MA82A421" a="all">Q18: Have you worked during this period?<br /><div class="i1">[] Yes, specify the number of days worked and go to Q20 _ _ _<br />[] No, write "00" and go to Q19 _ _</div><br /></svar> Morocco 1982: Persons age 15+ who are neither economically active nor students [discrepancies: type I: 0.9%; type II none] This variable records the number of days worked by the respondent since the Eid-al-Fitr festival (on 7/23/1982, 41 days prior to the census date), for those persons age 15+ who are neither students nor economically active. 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 38 38 40 40 41 41 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Reason for not working <svar v="MA82A421 MA82A422">During the period from the <span class="lang">Aid el Fitr</span> festival (July 23, 1982) to the reference date for the census:<br />[For housewives and other inactive persons (other than pupils and students) age 15 or older]<br />[Questions 18-19.]<br /></svar></p> <p><svar v="MA82A422" a="all">Q19: Why have you not worked during this period?<br /><div class="i1">[] 1 No work available, looked desperately for work<br />[] 2 Busy enough with house work<br />[] 3 Spouse or family opposes it<br />[] 4 Unable to work<br />[] 5 Does not want to work<br />[] 6 Other causes, specify _______</div><br /></svar> Morocco 1982: Persons age 15+ who are neither economically active nor students and did not work at all during the reference period [discrepancies: type I: 0.3%; type II none] This variable records the respondent's reasons for not working. 1 Looked for work, did not find 2 Busy with housekeeping 3 Spouse or family opposes it 4 Unable to work / disabled 5 Does not want to work 6 Other cases 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation (2-digit) <svar v="MA82A423 MA82A424" a="all">Q20: Main occupation<br /><div class="i1">Ask this question for all active persons, employed or jobless (see detailed instructions), or inactive persons who answered Q18 who worked during the specified reference period.<br /><br />Example: bricklayer, plumber, cereal farmer, stockbreeder, etc.<br /><br />________________________</div><br /></svar> Morocco 1982: Economically active persons or those who worked at all during the reference period [discrepancies: none] This variable records the respondent's occupation (in 2-digit format). 001 Physics-chemistry specialists 002 Architects, engineers 004 Pilots, mechanics officers (navy and air force) 005 Biologists, agronomists 006 Physicians, dentists, veterinarians 008 Statisticians, mathematicians, analysts 009 Economists 011 Accountants 012 Lawyers 013 Teachers 014 Religious authorities 015 Authors, journalists, and similar 016 Sculptors, painters, photographers, and other creative artists 017 Musicians, actors, dancers, and other performance artists 018 Athletes 019 Scientific, liberal professions personnel nec 020 Directors 021 Retail owners managers 022 Sales and buyers managers 023 Traveling salesmen 024 Insurance, real estate agents, business services agents, and auction sellers 025 Sales clerks, commerce employees 029 Commercial and sales personnel nec 030 Legislators and senior managers of public administration 031 Directors and senior managers 032 Managers of office worker groups 033 Administration agents (public administration) 034 Stenographers, dactilographers, machine operators, card and ribbon punchers, and data processing machine operators 035 Accountant, casher employees 036 Managers of transportation services, telecommunications, railways 037 Postmen and messengers 038 Telephone and telegraph operators 039 Administrative personnel nec 040 Hotel, café, restaurant directors 041 Managing owners of hotels, cafes, and restaurants 042 Managers of domestic service groups 043 Cooks, waiters, barmen 044 Domestic employees 045 Dwelling custodians, cleaners 046 Launderers, washers, ironing personnel 047 Hairdressers, beauty specialists 048 Security and protection personnel 049 Service industry workers 050 Directors and managers of agricultural operations 051 Agriculture-specific operators 052 Livestock-specific operators 053 Various agricultural operators 060 Farmers 061 Hunters, fishers 062 Forestry workers 070 Supervisors (excluding agriculture) 071 Miners, carriers, drillers 072 Metal production and processing workers 073 Wood preparation and paper making workers 074 Oven and chemical equipment workers 075 Textile workers 076 Tanners, skinners, bleachers, and leather workers 077 Food and beverage workers 078 Tobacco workers 079 Tailors, fashion experts, sewers, upholsterers 080 Shoemakers, shoe and leather workers 081 Woodworkers, carpenters 082 Stone cutters and engravers 083 Metal shapers and machine workers 084 Fitters, machine installers, precision mechanics (excluding electricians) 085 Electricians, electronics workers 086 Radio and television station, sound system, and cinema projection operators 087 Plumbers, welders, roofers, wood and metallic structure fitters 088 Jewellers and goldsmiths 089 Glass and pottery workers 090 Rubber and plastic manufacturing workers 091 Paper and carton manufacturing workers 092 Typesetter 093 Painters 094 Production workers and similar 095 Masons, carpenters, and other construction workers 096 Machine and stationary operators 097 Maintenance and earthwork engine operators, dockers and maintenance workers 098 Transportation engine conductors 099 Maneuver workers nec 999 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation (3-digit) <svar v="MA82A423 MA82A424" a="all">Q20: Main occupation<br /><div class="i1">Ask this question for all active persons, employed or jobless (see detailed instructions), or inactive persons who answered Q18 who worked during the specified reference period.<br /><br />Example: bricklayer, plumber, cereal farmer, stockbreeder, etc.<br /><br />________________________</div><br /></svar> Morocco 1982: Economically active persons or those who worked at all during the reference period [discrepancies: none] This variable records the respondent's occupation (in 3-digit format). 011 Chemists 012 Physicists 013 Specialists of physical chemistry 014 Technicians of physical chemistry 021 Architects and urban planners 022 Civil engineers 023 Electrical engineers, electronic engineers, and telecommunications engineers 024 Mechanical engineers 025 Chemical engineers 026 Metallurgist engineers 027 Mining engineers 028 Agricultural engineers and rural engineers 029 Efficiency engineers of textiles or traffic 031 Land surveyors and topographers 032 Designers and cartographers 033 Civil engineer technicians 034 Electric technicians of telecommunications 035 Mechanical technicians 036 Technicians of industrial chemistry 037 Metallurgist technicians 038 Mining technicians 039 Industrial efficiency technicians 041 Pilots of planes, hydroplanes, and helicopters 042 Navigators, flight engineers, and flight instructors 043 Deck officers and pilots of maritime navigation 045 Mechanical engineer officers of maritime and fluvial navigation 051 Biologists, zoologists, and similar specialists 052 Bacteriologists, pharmacologists, and similar specialists 053 Agronomists and similar specialists 054 Technicians of biological sciences 055 Technicians of agricultural sciences, forestry, and artificial insemination etc 061 Doctors 062 Surgeons 063 Medical assistants 064 Dentists and dental surgeons 065 Dental assistants 066 Veterinarians 067 Veterinary assistants 068 Pharmacists 069 Pharmacy assistants 071 Certified nurses 072 Uncertified nurses 073 Certified midwives 074 Uncertified midwives 075 Optometrists and opticians 076 Physical therapists and similar specialists 077 Medical radiology technicians 078 Dieticians, nutritionists and other medical professions nec 079 Paramedic technicians and similar workers 081 Statisticians and demographers 082 Mathematicians, actuaries, and computer scientists 084 Statistical and mathematical technicians and programmers 091 General economists 092 Econometricians and market research specialists 111 General accountants 112 Expert accountants 113 Auditors 121 Lawyers 122 Prosecutors 123 Jurisconsult 124 Supreme court and court of appeals judges 125 Judges of small claims courts 126 Other judges nec 127 Notaries, attorneys at law, and tax advice specalists 129 Other jurists nec 131 University professors 132 Professors of higher education establishments 133 Secondary school teachers of nonprofessional and nontechnical teaching fields 134 Secondary school teachers of professional and technical fields 135 Primary school teachers 136 Teachers of preschool, kindergarten, nursery school, and Koranic school 137 Teachers of special education schools 139 Teachers nec, school principals, and coaches 141 Theologists 142 Imams and various members of the Muslim religion 143 Members of (priority) Muslim communities 144 Members of the Muslim religion nec 145 Members of the Christian and Israelite religion 151 Authors, writers, and critics 152 Journalists of the written press 153 Radio and television reporters and journalists 154 Book editors 155 Script editors 159 Other authors, journalists, and writers nec 161 Sculptors, portraitists, painters, and engravers 162 Precious metals jewlers and sculptors 163 Commercial designers 164 Designers for theater and cinema 165 Portrait photographers 166 Advertising and other photographers nec 167 Cameramen 171 Music composers and orchestra conductors 172 Musicians 173 Singers 174 Choreographers and dancers 175 Actors and directors 176 Producers 177 Circus performers 178 Announcers 179 Musicians, actors, dancers, and artists nec 181 Athletes and sportsmen 182 Athletic coaches 183 Sports officials and referees 184 Physical education teachers 191 Librarians, archivists, and museum curators 193 Social workers and related workers 194 Philologists, translators, and interpreters 195 Insurance agents 199 Other workers in scientific, liberal, and technical fields nec 201 Wholesale managers of export and import trading 202 Retail managers 211 Wholesale owner-managers, exporters and importers, and commodity traders 212 Retail ownermanagers and retail merchants 221 Wholesale sales managers 222 Retail sales managers 223 Buyers 224 Purchasing agents 231 Sales representative technicians 232 Commercial inspectors and employees of postsales services 233 Sales representatives and sales agents 234 Advertising agents 241 Insurance agents and insurance brokers 242 Real estate agents and business agents 243 Investment dealers and stock brokers 244 Agents selling services to businesses and auctioneers 245 Advertising agents 246 Auctioneers and appraisers 251 Wholesale sales clerks 252 Retail sales clerks 253 Store and sales employees 254 Sales demonstrators and models 255 Other sales clerks, sales employees and demonstrators nec 256 Street vendors, market vendors, mint vendors 257 Out-of-home vendor and hawkers 258 Newspaper vendors and newspaper carriers 259 Pharmaceutical sales representative and other vendors nec 290 Commercial and sales personnel nec 301 Members of legislative bodies 302 Prime minister, ministers of state, secretaries of state 303 Governors and general secretaries of provinces or prefectures 304 General secretaries of ministries 305 Ambassadors and consuls 306 Big bosses, pashas, and bosses 309 Other fields of senior public administration nec 311 General directors 312 Directors of production except in factories and agricultural companies 313 Directors of manufacturing plants 314 Directors of research and development and technical directors 315 Directors of sales except wholesale and retail, and sales managers 316 Administrative directors and related workers 317 Directors of transportation services, telecommunications and related workers nec 318 Purchasing and supply managers, and store and warehouse managers 319 Other directors and executive officers nec 321 Supervisors of groups of office workers, and department heads and administrators 322 Accounting supervisors, supervisors of salaried workers, and other supervisors nec 331 Customs officers and tax collectors 332 Passport service agents and civilregistry agents 333 Inspectors of public administration 334 Ambassador secretaries and consular agents 335 Mokadmin and chioukh [police branches] 339 Other administrative agents 341 Stenographers 342 Stenographer and executive secretaries 343 Typists 344 Teletypists and telex operators 345 Operators of punchcard and paper tape machines 346 Operators of accounting machines 347 Operators of calculating machines 348 Operators of machines that automatically process data 349 Other stenographers, typists, machine operators nec 351 Accountant aides 352 Bookkeepers and accounting employees 353 Cashiers 354 Bank and foreign exchange employees 355 Post office window tellers 356 Payroll service employees, rent collectors 359 Other accounting employees, cashiers and similar workers nec 361 Station masters 362 Managers of rail transportation services 363 Managers of road transportation services 364 Managers of air transportation services and airtraffic controllers 365 Post office managers 366 Managers of passenger trains and road controllers 367 Transportation conductors and similar workers 369 Heads of transportation and telecommunication services nec 371 Mailmen 379 Other mailmen and messengers nec 381 Telephone operators 382 Telegraph operators 383 Radiotelephone installers and maritime and aerial radio navigators 389 Other telephone and telegraph operators nec 391 Employees of shipping and receiving and supply, storemen, etc... 392 Planning and scheduling agents, equipment schedulers, production planners, etc... 393 Office workers, employees of personnel services 394 Legal services employees 395 Insurance employees 396 Other administrative service employees nec 397 Receptionists, employees of travel agencies, and airport desk workers 398 Employees of libraries and archivers 399 Other office employees nec 401 Directors of hotels or hotel restaurants 402 Directors of restaurants or caférestaurants 403 Directors of cafes 409 Directors of boarding houses, youth hostels, cafeterias and other directors nec 411 Ownermanagers of hotels, hostels, motels, hotel restaurants, and innkeepers 412 Ownermanagers of restaurants, caférestaurants, and restaurant owners 413 Ownermanagers of cafes and bars 419 Other ownermanagers of hotels, cafes, restaurants nec 421 Stewards and housekeepers of private services 422 Bursars and hotel housekeepers 429 Other stewards, bursars and similar workers nec 431 Chefs for institutions and ship cooks 432 Private chefs 433 Chef servers, café waiters, and barmen 439 Other servers, barmen and similar workers nec 441 Private service maids, servants, housemaids 442 Maids, servants, and housemaids providing service in other households 443 Domestic workers in establishments other than hotels 444 Domestic workers in hotels 449 Other domestic employers and similar workers nec 451 Caretakers for residential building 452 Concierges and doormen 453 Housekeepers and office cleaners 459 Other building caretakers and cleaners nec 461 Launderers and washers 462 Strainers and pressers and launderers nec 471 Hairdressers for men 472 Hairdressers for women 473 Employees of beauty institutes 479 Other hairdressers, and beauty care specialists nec 481 Firemen 482 Policemen and national security officers 483 Auxiliary forces officers 484 Mobile intervention services and policemen nec 485 Military 486 Gendarmes 487 Prison wardens 488 Property security guard, museum attendant, and night watchmen 489 Other personnel of protection and safety services nec 491 Guides 492 Funeral directors and employees of funeral homes 493 Hospital orderlies, dental assistants, pharmacist aides, veterinary aides 494 Flight attendants 495 Elevator operators, dressing room attendants, bathroom attendants, and cinema ushers 499 Other service specialists nec 501 Farm directors 502 Foremen of farms and crop managers 511 Grain farmers 512 Sugar beet, sugar cane, fodder, rice, cotton, jute or flax farmers 513 Tree farmers and wine growers 514 Truck farmers, flower growers, nurserymen, seed and grain producers, and gardeners 519 Other farming specialists nec 521 Bovine, ovine, sheep, camel, horse, mule, donkey or pig farmers 522 Poultry farmers, beekeepers, and silkworm farmers 529 Other farmers specialized in livestock raising nec 531 Versatile farmers in agriculture and aboriculture 532 Versatile farmers in livestock rising 539 Versatile farmers in agriculture and livestock raising 601 Field workers and unspecialized farm laborers 602 Farm laborers specialized in field crops and vegetables 603 Farm laborers specialized in trees and shrubs 604 Farm laborers in nurseries and gardeners 605 Farm laborers specialized in crops nec 606 Farm laborers specialized in livestock raising nec 607 Shepherds 608 Farm machine operators 609 Other farm workers nec 611 Hunters and similar workers 612 High seas fishermen 613 Coastal waters and inland waters fishermen 619 Oyster farmers, algae gatherers, and other fishermen nec 621 Forest rangers 622 Forest coal miners, resin collectors, forest wood distillers 623 Loggers (reforestation) 624 Esparto grass and doum palm gathers and cork harvesting 629 Other forestry workers nec 700 Supervisors and similar workers 711 Miners 712 Quarrymen 713 Ore dressing laborers 714 Stone treatment laborers 715 Well drillers and similar workers 721 Operators of steel furnaces and foundaries 722 Metal laminators, and laminating machine operators 723 Operators of furnaces and foundaries 724 Casters of metals and foundries and operators of casting machines 725 Sand molders, coremakers, and molders 726 Technical metal processing workers 727 Wire workers and metal stretchers 728 Electroplaters and similar occupations 729 Metal processing production workers nec 731 Wood processing workers 732 Sawyers, gluers and other workers who prepare wood, shearers, plywood press operators, unwinders 733 Paper pulp preparers and bleachers and wood cutter operators 734 Paper mill workers and paper machine operators 741 Forestry worker 742 Processing devices and fournace workers, cookers, roasters, kilns workers 743 Filtering centrifuge workers, crude petrol processors (in-field extraction) 744 Reaction and distillation machine workers, distillators for wood and amber 745 Petrol refiners, petrol workers, mixers, distillation 749 Workers and forestry, hunting laborers nec 751 Fiber workers 752 Spinners, bobbin winders, assemblers, twisters, winder 753 Regulators for weaving and knitting trades, designer (putting designs on paper) 754 Weavers and handloom workers 755 Weavers and mechanical loom workers 756 Knitters and hosiery workers 757 Bleachers, dyers, textile product finishers, finishers, grillers [translators note: grilles are machines with cylhinders, used to smooth and polish the paper or cloth] 758 Lace makers, crocheters, net makers, and felt workers for hats 759 Textile workers nec 761 Tanners, skinners, tawers 762 Fur and skin workers 771 Millers and similar grain workers 772 Sugar workers 773 Butchers and similar meat workers 774 Cookers and other conservation workers 775 Dairy product workers 776 Bakers, pastry cooks and confectioners, chocolate factory workers and related workers 777 Tea, coffee and hot cocoa workers 778 Beverage industry workers and wine industry workers, yeast and vinegar producers, fruit press operators 779 Food and beverage industry workers nec 781 Tobacco workers 782 Cigar makers 783 Cigarette production workers 789 Tobacco workers nec 791 Tailors and modern designers for men 792 Tailors and modern designers for women 793 Tailors and traditional designers for men 794 Tailors and traditional designers for women 795 Fur dealers, designers, cutters, dividers and similar workers 796 Milliners and hatters 797 Sewers and embroiderers of nonleather and non fur materials 798 Upholsterers and similar workers 799 Tailors, designers, sewers, upholsterers and similar workers nec 801 Bootmakers and custom shoemakers 802 Shoe repairers 803 Shoe makers, cutters, preparers, fitters 804 Crafts leather workers 809 Leather workers and other artisans nec 811 Buffet cabinet makers and carpenters that make chairs or pianos 812 Operators of woodworking machinery 813 Vehicle body builders and car upholsterers 814 Upholsterers of wooden furniture and finishers 819 Other carpenters, upholsterers and similar workers nec 821 Stonemasons 822 Stone engravers, stone sculptors, and tracers 831 General blacksmiths and farriers 832 Other blacksmiths and blacksmith tool operators 833 Toolmakers, modelers, and tracers 834 Operators/regulators of toolmaking machines, metal lathe machines, milling machines, drilling machines, lathe operators 835 Operators of toolmaking machines, operators of metal lathe machines, milling machines, drilling machines 836 Operators of metal surfacing 839 Blacksmiths, toolmakers and metal workers nec 841 Adjusters/fitters, installers of mechanical construction equipment and internal combustion engine machines (except airplane and ship engines) 842 Other adjusters/fitters, machine installers nec, adjusters/fitters of airplane and ship motors, turbine engines, machine tools, textile machinery, printing machines, etc 843 Clock and watch repairers 844 Other precision engineers nec, mechanics/repairers of optical instruments, camera mechanics, dental prosthetics, surgical instruments, etc 845 Automotive mechanics 846 Motorcycle and moped mechanics 847 Aircraft engines and runway mechanics 848 Machine mechanics, steam engine mechanics, diesel engine mechanics, turbine engine mechanics, machine tool mechanics, mining machinery mechanics 849 Other adjusters/fitters, machine installers and precision engineers except electricians nec 851 Electrician adjusters and electromechanics 852 Electrician adjusters, directors of radioengineering, and electronic engineers 853 Electric and electronic equipment fitters, bobbin winders, rotors, stators, transformers 854 Radio and television repairmen 855 Building installation electricians and electrician repairmen 856 Electricians for automobiles, ships, airplanes, and others nec 857 Telephone and telegraph installation fitters and repairmen 858 Power line installers and telephone and telegraph line installers 859 Electricians, electronic engineers, and similar workers nec 861 Operators of radio and television stations 862 Operators of sound equipment 863 Cinema projectionists 871 Plumbers and pipefitters of gas and steam distribution 872 Welders and flame cutters, torch cutters, and lead cutters 873 Sheet metal workers, boilermakers, tinsmiths, sheet metal body workers 874 Frame builders and metal structure workers 881 Jewelers and jewelry repairmen 889 Other jewelers and goldsmiths nec 891 Glassblowers, casters, cutters, carvers and finishers, and operators of glass presses 892 Pottery makers and similar workers 893 Operators of glass furnaces, melters, and soakers 894 Operators of furnaces for ceramic, porcelain, earthenware, brick and tile, and ceramic soakers 895 Engravers of varnished products, crystal and glass cutters, and glassmaking engravers 896 Painters and decorators of glass and ceramic and similar workers 899 Glassmakers, pottery makers and similar workers nec 901 Workers in factories that produce rubber and plastic materials 902 Tire makers and vulcanizers, and retreaders 911 Manufacturers of paper items and press operators 912 Manufacturers of cardboard items and cardboard workers 921 Typesetters, proof printers, and print foundry workers 922 Printing press operators, cylinder press operators, offset press operators, heliogram press operators, and wallpaper printers 923 Photo developers and casters 924 Metal or wood printing engravers and carvers 925 Photoengravers, photo touch up workers, reporters, offset reproduction photographers, copyists 926 Bookbinders and similar workers 927 Black room photograph developers, color photograph developers, black and white photograph developers, photograph shooters, enlargers and reducers 929 Typesetters and similar workers nec 931 Construction painters and building painters 932 Metal structure painters, theater prop painters, and car painters 939 Painters nec 941 Musical instrument makers, tuners, and accessory makers 942 Weavers and brushers, brush makers, and thatch weavers 943 Manufacturers of nonmetallic mineral products, of agglomerated products, of concrete, of artificial stone, of asbestos cement 949 Other similar manufacturers nec, doll makers, candle makers, pencil makers, button makers, cork workers, etc... 951 Stone masons 952 Bricklayers, tilers, pavers, and cobblestone layers 953 Reinforced concrete workers, applicators, and layers of terrazzo floors 954 Roofers 955 Carpenters and floor layers for buildings, ships or airplanes 956 Plasterers 957 Installers of soundproofing materials, insulation or air conditioning 958 Glass and window glaziers and glazier installers in buildings and vehicles 959 Construction workers nec 961 Operators of machines and fixed installations, operators of energy production apparatus, of turbine engines, or of loading dispatchers 969 Operators of machines and fixed installations nec, operators of air or gas compressors, stokers, pump operators, operators of apparatus for processing drinking water, operators of waste incinerators, etc 971 Dockers and stevedores working in ports, ship loaders, rail vehicle loaders or airplane loaders 972 Stevedores and cargo handlers (by hand) and porters 973 Cargo handlers and operators of automatic filling and packaging machines 974 Cable splicers, assemblers of lifting devices, and assemblers of cords and ropes 975 Crane operators and operators or other lifting and hoisting devices 976 Operators of earthmoving equipment, power shovel operators (for digging trenches), bulldozer operators, dredgers 979 Operators of cargohandling and earthmoving equipment 981 Deckhands, sailors, and boatmen 982 Engine and boiler room crew, ship oilers, and greasers 983 Operators, drivers, and mechanics of locomotives 984 Break tighteners, needle switchers, shunters, and signalmen 985 Drivers of motor vehicles and common transportation devices 986 Drivers of motor vehicles for transferring goods 987 Other motor vehicle drivers, specialized chauffeurs, ambulance drivers, mail truck drivers, and driving school teachers 988 Drivers of animals and animaldrawn vehicles 989 Drivers of transportation devices nec 998 Laborers nec 999 NIU (not in universe) Work: Occupation Variables -- PERSON Industry (3-digit) <svar v="MA82A425 MA82A426" a="all">Q21: Branch of economic activity (main activity of the company or the business building where you work)<br /><div class="i1">Specify with precision the main activity of the company or the business building where you work, or where you have worked (for persons who answered Q20)<br /><br />______________________<br /><br />Example: shoe factory, wool trade, sheep breeding, etc.</div><br /></svar> Morocco 1982: Economically active persons or those who worked at all during the reference period [discrepancies: none] This variable records the respondent's industry of work (in 3-digit format). 010 Agriculture, arboriculture, forestry 011 Cereal, legume and feed farming 012 Industrial agriculture 013 Fruit tree and vine agriculture 014 Gardening and other cultures 015 Sylviculture and hunting 016 Sylviculture, agricultural services 020 Livestock breeding 021 Animal breeding for pedigree, meat, dairy, skins (excluding barnyard animals) 022 Poultry and barnyard animal breeding 023 Apiculture and other breeding 024 Activities related to breeding 030 Fishing 031 Sea fishing 032 Other fishing activities 033 Services related to the sea 040 Non-metal mineral extraction 041 Natural phosphates extraction and preparation 042 Extraction of non-metal minerals (other than phosphates) for the chemical industry 043 Extraction of quarry products 044 Other metal minerals (excluding quarry minerals) 050 Metal mineral extraction 051 Iron mineral extraction 052 Extraction of other metal minerals 061 Extraction of solid mineral combustibles and fabrication of mixes 062 Raw petrol and natural gas extraction 071 Refined petrol, and protrol- and coal-derivatives 081 Electric energy production and transportation 082 Production of other energy forms 083 Water collection and purification 084 Water and electricity distribution 100 Food industry products 101 Grains and flour production 102 Bakery, pastry and bisquit store 103 Sugar industry 104 Chocolate, candy production 111 Fruit and legume preserves production 112 Butcher for animals 113 Meat preservation production 114 Dairy industry 115 Animal or vegetable fat production 116 Fish and seafood preparation and preservation 117 Food products production nec 118 Animal feed production 120 Beverage production 121 Beer and malt production 122 Wine, cider, pear production 123 Spirits production 124 Non-alcoholic beverage production 125 Tobacco industry 130 Textile and milliner products 131 Wool and long fibers industry 132 Cotton and short fibers industry 133 Silk and prolonged fibers industry 134 Vegetable fibers (excluding cotton) industry 135 Textiles finishing and priming 136 Production of simple textile works (excluding clothing) 137 Rugs, mats and plaits production 138 Millier industry 140 Clothing (excluding shoes) 141 Lingerie and shirts production 142 Undergarments production 143 Tailored clothing and lingerie production 150 Leather, various articles, and leather shoes 151 Tannery, tawery 152 Leather and leather substitutes (excluding shoes and clothing) 153 Shoes (whole or partial leather materials) production 160 Wood, wood and basketry products, furniture 161 Sawn and prepared timber production 162 Plating, and plate and panel production 163 Framing and building joinery 164 Wood packaging production 165 Mattress and furniture production 166 Wood, cork or wicker article production nec 170 Paper and carton, printing 171 Paper pulp, paper and carton production 172 Paper or carton articles production (excluding printing) 173 Printing, editing and related industries 180 Products derived from the transformation of quarry minerals 181 Ceramic articles production 182 Glass industry 183 Clay construction materials production 184 Cement, lime, plaster manufacturing 185 Production of cement and asbestos-cement articles, and various mixes 186 Production of marble, cut stone, or slate articles 187 Production of asbestos and abrasive products 191 Siderurgical products and first transformation of iron metals 192 Non-iron metals products and first transformation of non-iron metals 200 Metal works (excluding machines and transportation materials) 201 Cutlery, hand tools, hardware 202 Metal furniture 203 Metal carpentry, boiler, metal sheet production 204 Metal packaging 205 Wire rod-, spring-, hardware-derived metal products 206 Piping, valve, sanitary articles, and home heating devices 207 Household utensiles 208 Metal articles and metal covers nec 210 Machine and equipment material construction (excluding transportation materials) 211 Motors and turbines 212 Agricultural machines and materials 213 Metal and wood working machines 214 Mining, buidling and public works materials, and materials for lifting and maintenance 215 Specialized materials for the industry 216 Non-specialized industrial machines, materials and furniture 217 Other machines and materials for domestic and commercial use 220 Transportation materials 221 Particular vehicles 222 Commercial vehicles and body parts 223 Motorcycles and bicycles 224 Rolling railway materials 225 Naval construction and ship repairs 226 Areonautic construction and airplane repairs 227 Other transportation materials 230 Electric and electronic materials 231 Generators and electric motors 232 Industrial electric materials and equipment (excluding rotating equipment) 233 Electric materials for signaling and traffic regulation (excluding telephones and telegraphs) 234 Electronic components 235 Electronic materials and equipment 236 Domestic appliances 237 Isolated electric wires and cables 238 Batteries and storage batteries 239 Lamps, lighting equipment, accessories and electric equipment nec 240 Office machine: precision, measure or optic control instruments, watchmaking 241 Office machine: weighting equipment 242 Surgical materials, precision, measure, control instruments 243 Optical instruments and photographic materials 244 Watches and clocks 250 Chemistry and parachemistry products 251 Organic chemistry and mineral products 252 Fertilizers, pesticides, insecticides 253 Synthetic resines, artificial plastic materials 254 Paints, lacquer, varnish 255 Pharmaceutical and medicinal products 256 Soaps, beauty and cleansing products 257 Other chemical products 260 Rubber and plastic products 261 Pneumatics and inner tubes 262 Rubber products (excluding pneumatics) 263 Plastic products 270 Other manufacturing industry products 271 Jewelry and goldsmith products 272 Musical instruments 273 Sports and games equipment 274 Office articles nec 290 Buildings and public works 291 Buildings 292 Public works 300 Wholesale trade 301 Wholesale of agricultural products, fruits, fishing 302 Wholesale of industrial furniture, and equipment and transportation materials 303 Wholesale of textiles, leather and shoes 304 Wholesale of petrol, chemistry and parachemistry products 305 Multiple wholesale 306 Wholesale of retrieval retail 307 Commercial business specialized in wholesale and wholesale retail 308 Commercial middlemen 310 Retail sale trade 311 Retail sale of agricultural products, fruits, fishing 312 Retail sale of food products and tobacco 313 Retail sale of combustibles 314 Retail sale of textiles, clothing and tapestry 315 Retail sale of leather, leather articles and shoes 316 Retail sale of pharmacy, cleansing and beauty,pharmaceutical products 317 Retail sale of furniture and household articles 318 Retail sale of industrial furniture, and equipment and transportation materials 321 Retail sale of books, paper, furniture, and office machines 322 Retail sale of watchs, jewelry and goldsmithing 323 Retail sale of discounted items 324 Other retail sales nec 330 Repairs 331 Automobile and motorcycle repairs 332 Shoes and leather products repairs 333 Electric and electronic equipment repairs 334 Watch and clock repairs 335 Other repairs nec 340 Transportation services 341 Road haulage for merchandise and furniture 342 Road haulage for passengers by coach 343 Road haulage for passengers by taxi 344 Railway transport 345 Sea and river transport 346 Air transport 347 Other transports nec 350 Services annexed and auxiliary to transports 351 Services annexed to land transports 352 Services annexed to water transports 353 Services annexed to air transports 354 Transport auxiliaries 355 Depots and warehouses 361 Communications 370 Institutions of credit 371 Central bank services 372 Bank deposit services 373 Specialized credit organizations services 374 Auxiliary finance services 380 Insurance 381 Life, illness, pension fund insurance 382 Damage insurance 383 Auxiliary insurance services 390 Services for organziations 391 Legal advice 392 Accounting and fiscal advice 393 Auxiliary technical services 394 Advertising 395 Other services provided to organizations 396 Capital goods leasing 400 Real estate 401 Real estate leasing 402 Auxiliary real estate services 410 Hospitality and restaurant industry 411 Hotels and hospitality 412 Restaurants 421 Domestic services 430 Personal services 431 Whitening, dyeing, and similar services 432 Hairstyling, personal hygiene 433 Personal services nec 440 Recreation and cultural services 441 Cinema 442 Radio-television 443 Theaters, and cutural and artistic works 444 Libraries, museums and gardens 445 Sports 446 Other recreational services 450 Health services 451 Public healthcare establishments 452 Private laboratories and medicaments 453 Veterinary services 461 Public health 470 Teaching, research 471 Private teaching 472 Primary and secondary public schooling 473 High school teaching 474 Scientific institutes and research centers 480 Social works, associations, cults 481 Public works 482 Commercial, professional and labor associations 483 Other associations 484 Religious services 490 General administration 491 General public services 492 National defense 493 Social administration 494 Administration for town planning, habitat, public works, territory equipment and management 495 General administration of economic affairs 980 Unemployed persons seeking their first job 990 Unclear/unknown activities 999 NIU (not in universe) Work: Industry Variables -- PERSON Industry (2-digit) <svar v="MA82A425 MA82A426" a="all">Q21: Branch of economic activity (main activity of the company or the business building where you work)<br /><div class="i1">Specify with precision the main activity of the company or the business building where you work, or where you have worked (for persons who answered Q20)<br /><br />______________________<br /><br />Example: shoe factory, wool trade, sheep breeding, etc.</div><br /></svar> Morocco 1982: Economically active persons or those who worked at all during the reference period [discrepancies: none] This variable records the respondent's industry of work (in 2-digit format). 01 Agriculture, arboriculture, forestry 02 Livestock 03 Fishing 04 Mining, no metals 05 Mining, metals 06 Solid combustibles and crude petrol 07 Refined petrol, petrol and coal derivatives (excluding petrochemicals) 08 Electricity, other energy, water 10 Food industry products 12 Beverages and tobacco 13 Textile and knitwear products 14 Clothing, excluding shoes 15 Leather, leather products, and shoes 16 Wood, wood and basketry products, furniture 17 Paper and carton, printing 18 Products derived from quarry minerals 19 Base metal industry products 20 Metal products (excluding machines and transportation materials) 21 Machine and equipment material construction (excluding transportation materials) 22 Transportation materials 23 Electric and electronic materials 24 Office machines, clockwork, and precision, measure and optic control instruments 25 Chemistry and parachemistry products 26 Rubber and plastic products 27 Products from other manufacturing industries 29 Construction and public works 30 Wholesale trade 31 Retail sale trade 33 Repairs 34 Transportation 35 Transportation-related services 36 Communications 37 Credit institutions 38 Insurance 39 Business-related services 40 Real estate 41 Hotels and restaurants 42 Domestic services 43 Personal services 44 Recreation and cultural services 45 Health services 46 Public health 47 Teaching, research 48 Social work, associations, religious institutions 49 Public administration 97 Unemployed persons seeking their first job 98 Unknown 99 NIU (not in universe) Work: Industry Variables -- PERSON Work status <svar v="MA82A427" a="all">Q22: Employment status<br /><div class="i1">[] 1 Employer<br />[] 2 Self-employed, with premises<br />[] 3 Self-employed, at home<br />[] 4 Self-employed, traveling or without premises<br />[] 5 Salaried worker<br />[] 6 Family aid worker<br />[] 7 Apprentice</div><br /></svar> <svar v="MA82A427" a="all">22. Status in primary profession:<br /><div class="i1">[] 1 "Employer": employs at least one salaried worker.<br /><br />[] 2 "Independent with premises": works for his own and does not employ any salaried persons, although he/she may seek familial aid. This individual works at a specific premise other than his own home. This definition may be difficult to apply for self-employed farmers. We consider each farmer working on his own land within this category.<br /><br />[] 3 "Independent, work from his home": works for his own and does not employ any salaried persons on a permanent basis, although he/she may seek familial aid or apprentices. This individual works at his own home.<br /><br />[] 4 "Independent, travelling or without premises": works for his own and does not employ any salaried persons, although he/she may seek familial aid. This individual does not have specific [working] premises.<br /><br />[] 5 "Salaried employee": works for a salary, in-kind or both. This individual works for the public sector, such as government, local communities, external services of ministries, or for the private sector.<br /><br />[] 6 "Family appointed [worker]": works for his family members with no salary and lives with them.<br /><br />[] 7 "Trainee [apprentice]": works for an employer or self-employed in order to learn some skills. He/she may receive some salary.</div><br /></svar> Morocco 1982: Economically active persons or those who worked at all during the reference period [discrepancies: none] This variable records the employment status of the respondent. 01 Employer 02 Self-employed, with premises 03 Self-employed, at home 04 Self-employed, traveling, no premises 05 Salaried employee 06 Family worker 07 Apprentice 08 Unemployed persons seeking their first job 09 Unknown 99 NIU (not in universe) Work Variables -- PERSON