DDI_MAR_1994_PHC_v01_M_v7.5_A_IPUMS General census of Population and Housing, 1994 IPUMS May 20, 2024 MetadataEditor Version 7.5 October 2024. NEW FEATURES. --Historical data from NAPP project now available from IPUMS-International. --Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk. --Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples. --New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures. NEW SAMPLES. --Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. --Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) --Labor force surveys from Spain and eight new labor force surveys from Italy added to the series. Newly added countries: Benin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe New samples for: Bolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe SUPPLEMENTAL DATA. Data from censuses from Benin and Lesotho that record individual fertility and/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system. NEW VARIABLES. --IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here. --IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. --Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography. --Added more detailed 3-digit industry and occupation variables for China 2000. EDITED SAMPLES. --Revised full-count data for Great Britain 1881 --Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets: --Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS. --Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE. --A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute. EDITED VARIABLES. An error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01. AGEMARR was edited to add data for Hungary 1980 and 1990. Harmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries. Errors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000. Harmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here. The codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education. Errors affecting EDUCFJ for Fiji 2006 were corrected. A problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals. MOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers. An error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected. An error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed. All the six Brazil samples in IPUMS International were replaced with higher density samples. An edited version of the Chile 2017 sample was introduced to correct an error in household breaks. Errors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected. Harmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here. An error in PERWT affecting Nepal 2001 was corrected. Errors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household. An error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited. Harmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error in INCEARN affecting Brazil 1980 was corrected. An error in EDATTAIN affecting Ireland 1971 and 1981 was corrected. A small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit. The second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN. An error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed. A problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals. Harmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. Harmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here. An error affecting codes for COMPUTER for Senegal 2013 was corrected. An error affecting labels available in IND for Peru 1993 was corrected. An error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected. EDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization. HHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province. In GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE. Errors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected. Errors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected. General census of Population and Housing, 1994 - IPUMS Subset PHC Morocco 1994 (IPUMS Harmonized Subset) MAR_1994_PHC_v01_M_v7.5_A_IPUMS Statistics Directorate IPUMS (c) Copyright 1994, Statistics Directorate and Minnesota Population Center MetadataEditor Statistics Directorate Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.5 Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database. Fertility and Mortality Variables -- PERSON Demographic 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 Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Household Economic 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 Ethnicity and Language Variables -- PERSON Morocco Province Persons and households UNITS IDENTIFIED: - Dwellings: no - 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 1994 MICRODATA SOURCE: Statistics Directorate SAMPLE SIZE (person records): 1294026. 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 2, 1994 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. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https://doi.org/10.18128/D020.V7.5 Researchers should also acknowledge the statistical agency that originally produced the data: Morocco, Statistics Directorate. General census of Population and Housing, 1994 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. APR1994_PHC-H-H Household records 222 47 APR1994_PHC-P-H Person records 1294026 92 Record type H Household P Person 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. IPUMS Country 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 Ivory Coast 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 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). IPUMS Year 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 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. IPUMS IPUMS sample identifier 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 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 Ivory Coast 1988 384199801 Ivory Coast 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 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 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 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 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 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 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). IPUMS 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. IPUMS 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. IPUMS 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. IPUMS Subsample number 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 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. IPUMS Group quarters (collective dwelling) status 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 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. IPUMS Number of unrelated persons 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. IPUMS Continent and region of 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 REGIONW identifies the continent and region of each country. IPUMS Morocco, Region 1982 - 2004 [Level 1; consistent boundaries, GIS] 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 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. IPUMS Morocco, Region 1994 [Level 1, GIS] 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 GEO1_MA1994 identifies the household's region within Morocco in 1994. Regions are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_MA1994 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. IPUMS Morocco, Province 1982 - 2004 [Level 2; consistent boundaries, GIS] 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 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. IPUMS Morocco, Province 1994 [Level 2, GIS] 001391 Aousserd, Oued-Ed-Dahab 002121 Boujdour 002321 Laâyoune 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 004587 Zagora 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 007351 Marrakech 008113 Berkane 008533 Taourirt 008251 Figuig 008275 Jerada 008381 Nador 008411 Oujda-Angad 009141 Casablanca 009355 Médiouna 009385 Nouaceur 009371 Mohammedia 010291 Khémisset 010421 Rabat 010441 Salé 010501 Skhirate-Témara 011181 El-Jadida 011431 Safi 012081 Azilal 012091 Béni Mellal 013061 Meknès 013171 El Hajeb 013201 Errachidia 013271 Ifrane 013301 Khénifra 014131 Boulemane 014231 Fès 014451 Sefrou 014591 Moulay Yacoub 015051 Al Hoceïma 015531 Taounate 015561 Taza 016151 Chefchaouen 016227 Fahs-Anjra 016511 Tanger-Assilah 016331 Larache 016571 Tétouan GEO2_MA1994 identifies the household's province within Morocco in 1994. Provinces are the second level administrative units of the country, after regions. A GIS map (in shapefile format), corresponding to GEO2_MA1994 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. IPUMS DHS-IPUMS-I Morocco regions, 1982-2004 [consistent boundaries, GIS] 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 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. IPUMS Ownership of dwelling [general version] NIU (not in universe) 1 Owned 2 Not owned 9 Unknown 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. IPUMS Ownership of dwelling [detailed version] 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 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. IPUMS Electricity NIU (not in universe) 1 Yes 2 No 9 Unknown ELECTRIC indicates whether the household had access to electricity. IPUMS Water supply 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 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. IPUMS Number of rooms 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) ROOMS indicates the number of rooms occupied by the housing unit. IPUMS Kitchen or cooking facilities 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 KITCHEN indicates whether the household had a kitchen, cooking facilities, or room dedicated to food preparation. IPUMS Toilet 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 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. IPUMS Bathing facilities 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 BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access. IPUMS Wall or building material 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 This variable indicates the primary material used in the construction of the dwelling, particularly the dwelling's exterior walls. IPUMS Roof 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 This variable indicates the dwelling's predominant roofing material. IPUMS Household classification 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 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. IPUMS Number of families in household 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 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. IPUMS Number of married couples in household 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 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). IPUMS Number of mothers in household 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 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). IPUMS Number of fathers in household 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 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). IPUMS 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. IPUMS Dwelling number Morocco 1994: All households This variable indicates the household dwelling number. This is a 6-digit numeric variable with 0 implied decimal places IPUMS Number of persons in household Morocco 1994: All households 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 41 41 42 42 43 43 45 45 52 52 69 69 99 99 This variable indicates the number of persons in household. IPUMS Record type Morocco 1994: All households 1 Household / dwelling 2 Tent This variable indicates whether the household is a dwelling or tent. IPUMS Type of lighting of tent Morocco 1994: Tent households [discrepancies: none] 1 Petrol 2 Gas 3 Lamp 4 Candle 5 Other 8 Unknown 9 NIU (not in universe) This variable indicates the type of lighting in a tent. IPUMS Number of tents Morocco 1994: Tent households [discrepancies: none] 1 1 2 2 3 3 4 4 8 Unknown 9 NIU (not in universe) This variable indicates the number of tents that are part of a household. IPUMS Animal husbandry Morocco 1994: Tent households [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates that the household practices animal husbandry. IPUMS Dwelling occupation status <svar a="all" v="MA94A038">Q21. Status of housing<br /><div class="i1">[] 1 House whose inhabitants are present during census<br />[] 2 House whose inhabitants are temporarily absent<br />[] 3 Empty house<br />[] 4 Secondary or seasonal house<br />[] 5 House during construction</div><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 1 Occupied 2 Temporarily vacant 3 Vacant 4 Seasonal occupation 5 Under construction 6 Homeless 8 Unknown 9 NIU (not in universe) This variable indicates the status of the dwelling occupation. IPUMS Type of dwelling unit <svar a="all" v="MA94A039">Q23. Type of housing:<br /><div class="i1">[] 0 Villa, or one floor of a villa<br />According to its normal definition, [a villa is] any building designated for residence, separated from other structures, not over two stories high, and usually has a garden. A villa could be used for activities other than residence during the census period.<br /><br />[] 1 An apartment in a building<br />[A dwelling] within a building that is designated for collective housing, and is made up of several stand-alone apartments. The apartment could be used for residential or other purposes.<br /><br />[] 3 Moroccan traditional house<br />This is an individual building, made up of one or more stories, and used for residence or other purposes. There are no similarities between a modern Moroccan house, a villa, and a traditional Moroccan house.<br /><br />[] 4 Room in an establishment<br />This is one or more rooms in an establishment (hotel, school, factory, mosque) used for residence during the census period.<br /><br />[] 5 Slum or archaic housing<br />This it is a construction made of materials such as wood or zinc.<br /><br />[] 6 Premise not originally designated as housing (garage).<br /><br />[] 7 Rural housing<br />These are dwellings that are enumerated in the rural and suburban areas, which are not included among the types listed above.<br /><br />[] 8 Other cases: other types [of dwellings] not mentioned above, such as car, tent</div><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 00 Villa, one-storey dwelling 01 Appartment, flat 02 Traditional house 03 Modern house 04 Studio 05 Informal building / shack 06 Premises not designed for dwelling 07 Rural dwelling 08 Other type of dwelling 98 Unknown 99 NIU (not in universe) This variable indicates the type of dwelling unit. IPUMS Wall material <svar v="MA94A040 MA94A041">Basic construction material<br />[Questions 24a-b]<br /></svar></p> <p><svar a="all" v="MA94A040">Q24a. Walls<br /><div class="i1">[] 1 Rocks or bricks with cement<br />[] 2 Rock with clay<br />[] 3 Rock only<br />[] 4 <span class="lang">Tabia</span> (clay and straw),<br />[] 5 Wood, zinc, grass, cane<br />[] 6 Other material</div><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 1 Cement 2 Stone and earth 3 Stone only (no cement) 4 Adobe 5 Wood, iron sheet 6 Other material 8 Unknown 9 NIU (not in universe) This variable indicates the type of material of the wall. IPUMS Roof material <svar v="MA94A040 MA94A041">Basic construction material<br />[Questions 24a-b]<br /></svar></p> <p><svar a="all" v="MA94A041">Q24b. Ceiling:<br /><div class="i1">[] 1 <span class="lang">Dalla</span> (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><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 1 Concrete (flat roof) 2 Material, covered with earth 3 Material, not covered with earth 4 Iron sheet, zinc 5 Tiles, wood 6 Other material 8 Unknown 9 NIU (not in universe) This variable indicates the material of the roof. IPUMS Kitchen <svar v="MA94A042 MA94A043 MA94A044 MA94A045 MA94A046 MA94A047 MA94A048">Housing equipment<br />[Questions 25a-g.]<br /></svar></p> <p><svar a="all" v="MA94A042">Q25a. Kitchen:<br /><div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 3 Not available</div><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 1 Yes, private 2 Yes, communal (shared) 3 None 8 Unknown 9 NIU (not in universe) This variable indicates the type of kitchen in a household. IPUMS Toilet <svar v="MA94A042 MA94A043 MA94A044 MA94A045 MA94A046 MA94A047 MA94A048">Housing equipment<br />[Questions 25a-g.]<br /></svar></p> <p><svar a="all" v="MA94A043">Q25b. Bathroom [toilet]:<br /><div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 3 Not available</div><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 1 Yes, private 2 Yes, communal (shared) 3 None 8 Unknown 9 NIU (not in universe) This variable indicates the type of toilet in a household. IPUMS Bathroom <svar v="MA94A042 MA94A043 MA94A044 MA94A045 MA94A046 MA94A047 MA94A048">Housing equipment<br />[Questions 25a-g.]<br /></svar></p> <p><svar a="all" v="MA94A044">Q25c. Modern bathroom or shower:<br /><div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 3 Not available</div><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 1 Yes, private 2 Yes, communal (shared) 3 None 8 Unknown 9 NIU (not in universe) This variable indicates the type of bathroom in a household. IPUMS Traditional bathroom <svar v="MA94A042 MA94A043 MA94A044 MA94A045 MA94A046 MA94A047 MA94A048">Housing equipment<br />[Questions 25a-g.]<br /></svar></p> <p><svar a="all" v="MA94A045">Q25d. Local bathroom:<br /><div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 3 Not available</div><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 1 Yes, private 2 Yes, communal (shared) 3 None 8 Unknown 9 NIU (not in universe) This variable indicates if the household has a traditional bathroom. IPUMS Water supply <svar v="MA94A042 MA94A043 MA94A044 MA94A045 MA94A046 MA94A047 MA94A048">Housing equipment<br />[Questions 25a-g.]<br /></svar></p> <p><svar a="all" v="MA94A046">Q25e. Public water supply network:<br /><div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 3 Not available</div><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 1 Yes, private 2 Yes, communal (shared) 3 None 8 Unknown 9 NIU (not in universe) This variable indicates the type of water supply. IPUMS Water supply: spring or well <svar v="MA94A042 MA94A043 MA94A044 MA94A045 MA94A046 MA94A047 MA94A048">Housing equipment<br />[Questions 25a-g.]<br /></svar></p> <p><svar a="all" v="MA94A047">Q25f. Water from well within dwelling<br /><div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 3 Not available</div><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 1 Yes, private 2 Yes, communal (shared) 3 None 8 Unknown 9 NIU (not in universe) This variable indicates that the water supply is a spring or well. IPUMS Electricity <svar v="MA94A042 MA94A043 MA94A044 MA94A045 MA94A046 MA94A047 MA94A048">Housing equipment<br />[Questions 25a-g.]<br /></svar></p> <p><svar a="all" v="MA94A048">Q25g. Public electricity supply network:<br /><div class="i1">[] 1 Private<br />[] 2 Shared<br />[] 3 Not available</div><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 1 Yes, private 2 Yes, communal (shared) 3 None 8 Unknown 9 NIU (not in universe) This variable indicates that the household has electricity. IPUMS Source of lighting <svar a="all" v="MA94A049">Q26. Lighting method (for housing with no electricity):<br /><div class="i1">[] 1 Lighting with gasoline<br />[] 2 Lighting with gas<br />[] 3 <span class="lang">Kandil</span><br />[] 4 Candle<br />[] 5 Other cases</div><br /></svar> Morocco 1994: Non-tent households without electricity [discrepancies: none] 1 Petrol 2 Gas 3 Lamp 4 Candle 5 Other 8 Unknown 9 NIU (not in universe) This variable indicates the household's source of lighting. IPUMS Tenant status <svar a="all" v="MA94A050">Q27. Status of occupation:<br /><div class="i1">[] 1 Owner or associated partner<br />[] 2 Towards ownership<br />[] 3 Tenant<br />[] 4 Accommodation that goes with the job<br />[] 5 Housed for free<br />[] 6 Other cases</div><br /></svar> Morocco 1994: Non-tent households [discrepancies: none] 1 Landlord / owner / condominium 2 In process of becoming owner 3 Tenant 4 Paid by employer 5 Free lodging 6 Other cases 8 Unknown 9 NIU (not in universe) This variable indicates the household's tenancy status. IPUMS Number of rooms <svar a="all" v="MA94A051">Q28. Number of rooms inhabited by household____<br /></svar> Morocco 1994: Non-tent households [discrepancies: 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+ 98 Unknown 99 NIU (not in universe) This variable indicates the number of rooms in a home. IPUMS 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. IPUMS 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. IPUMS 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 IPUMS 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 IPUMS 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 IPUMS Rule for linking parent 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 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. IPUMS Rule for linking spouse 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) 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. IPUMS Probable stepmother 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 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. 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. IPUMS Probable stepfather 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 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. IPUMS Man with more than one wife linked No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC 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. IPUMS Woman is second or higher order wife Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC 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. IPUMS 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. IPUMS Number of own family members in household 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 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). IPUMS Number of own children in household 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more 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. IPUMS Number of own children under age 5 in household 00 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 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. IPUMS Age of eldest own child in household 00 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 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. IPUMS Age of youngest own child in household 00 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 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. IPUMS Relationship to household head [general version] 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Relationship to household head [detailed version] 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 RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). IPUMS Age 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 AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. IPUMS 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 AGE2 gives computed years of age grouped into intervals. IPUMS Sex 1 Male 2 Female 9 Unknown SEX reports the sex (gender) of the respondent. IPUMS Marital status [general version] NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing 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. IPUMS Marital status [detailed version] 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 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. IPUMS Year of birth 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 1782 1782 1783 1783 1784 1784 1785 1785 1786 1786 1787 1787 1788 1788 1789 1789 1790 1790 1791 1791 1792 1792 1793 1793 1794 1794 1795 1795 1796 1796 1797 1797 1798 1798 1799 1799 1800 1800 1801 1801 1802 1802 1803 1803 1804 1804 1805 1805 1806 1806 1807 1807 1808 1808 1809 1809 1810 1810 1811 1811 1812 1812 1813 1813 1814 1814 1815 1815 1816 1816 1817 1817 1818 1818 1819 1819 1820 1820 1821 1821 1822 1822 1823 1823 1824 1824 1825 1825 1826 1826 1827 1827 1828 1828 1829 1829 1830 1830 1831 1831 1832 1832 1833 1833 1834 1834 1835 1835 1836 1836 1837 1837 1838 1838 1839 1839 1840 1840 1841 1841 1842 1842 1843 1843 1844 1844 1845 1845 1846 1846 1847 1847 1848 1848 1849 1849 1850 1850 1851 1851 1852 1852 1853 1853 1854 1854 1855 1855 1856 1856 1857 1857 1858 1858 1859 1859 1860 1860 1861 1861 1862 1862 1863 1863 1864 1864 1865 1865 1866 1866 1867 1867 1868 1868 1869 1869 1870 1870 1871 1871 1872 1872 1873 1873 1874 1874 1875 1875 1876 1876 1877 1877 1878 1878 1879 1879 1880 1880 1881 1881 1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown BIRTHYR gives the person's year of birth. IPUMS Month of birth 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 98 Unknown 99 NIU (not in universe) BIRTHMO indicates the person's month of birth. IPUMS Children ever born 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) 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. IPUMS Children surviving 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) CHSURV reports the number of children born to a woman who were still living at the time of the census. IPUMS Number of births last year None 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) BIRTHSLYR indicates whether any -- and in most cases how many -- children were born to a woman in the past twelve months. IPUMS Children surviving from births last year 1 1 (1 or more) 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) BIRTHSURV indicates the number of children born in the past twelve months who were still living at the time of the census. IPUMS Number of children dead 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) 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. IPUMS Number of own children in household 00 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) HOMECHILD indicates the number of surviving biological children living in the household with their mother (the respondent) at the time of the census. IPUMS Number of own children living elsewhere 00 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) AWAYCHILD indicates the number of surviving biological children not living in the household with their mother (the respondent) at the time of the census. IPUMS Number of children living abroad 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 98 Unknown 99 NIU (not in universe) ABROADCHD indicates the number of a woman's biological children who are living abroad, regardless of gender. IPUMS Nativity status NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing NATIVITY indicates whether the person was native-born or foreign-born. IPUMS Citizenship 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) CITIZEN indicates the person's citizenship status within the country in which they were enumerated. IPUMS 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 NATION indicates the person's country of citizenship. IPUMS Primary language spoken, Morocco 1 Arabic 2 Tachalhit 3 Tamazight 4 Tarifite 5 Hassania 8 No local language spoken 9 Unknown LANGMA indicates the primary language read, written, and used in local contexts in Morroco. IPUMS Language of literacy, 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) LANGMA2 indicates the language of literacy in Morocco. IPUMS Literacy NIU (not in universe) 1 No, illiterate 2 Yes, literate 9 Unknown/missing 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. IPUMS Educational attainment, international recode [general version] NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown 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. IPUMS Educational attainment, international recode [detailed version] 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 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. IPUMS Years of schooling 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) 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. IPUMS Educational attainment, Morocco 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 EDUCMA indicates the person's educational attainment in Morocco in terms of the level of schooling completed. IPUMS Activity status (employment status) [general version] NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing 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". IPUMS Activity status (employment status) [detailed version] 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) 310 Housework 320 Unable to work, disabled or health reasons 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 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". IPUMS Labor force participation 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) 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. IPUMS Occupation, ISCO general 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) 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. IPUMS 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. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2011 Austria 1971-2001 - German Belarus 1999 - Russian Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1985 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 1976 Cameroon 2005 Canada 1971 Canada 1981-1991 Canada 2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 China 1982 China 1990 China 2000 Colombia 1964 Colombia 1973 - Spanish Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d'Ivoire 1988 Cote d'Ivoire 1998 Cuba 2002 Cuba 2012 Denmark 1845 Denmark 1880 Denmark 1885 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1974 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971-1991 - Greek Greece 2001 - Greek Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 1996 Guinea 2014 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 1988 Honduras 2001 Hungary 1970-1990 Hungary 2001 Hungary 2011 India 1983-2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2005 Iran 2006 Iran 2011 Iraq 1997 Ireland 1901 Ireland 1911 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kenya 1989 Kyrgyz Republic 1999 Laos 1995 Lesotho 1996 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico Surveys 2005-2020 Mongolia 2000 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970 - Spanish Panama 1980 - Spanish Panama 1990 - Spanish Panama 2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 1990 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 2000 Philippines 2010 Poland 1978 Poland 1988 Poland 2002 Portugal 1981 - Portuguese Portugal 1991 - Portuguese Portugal 2001 - Portuguese Portugal 2011 Puerto Rico 1970 Puerto Rico 1980 Puerto Rico 1990 Puerto Rico 2000-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2002 Senegal 2013 Slovak Republic 1991 Slovak Republic 2001 Slovak Republic 2011 Sierra Leone 2004 Sierra Leone 2015 Slovenia 2002 South Africa 1996 South Africa 2001 South Africa 2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970 Switzerland 1980 Switzerland 1990 Switzerland 2000 Switzerland 2011 Tanzania 1988 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1960 Togo 1970 Togo 2010 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Trinidad and Tobago 2011 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 1991 Uganda 2002 Uganda 2014 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1975 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 Zimbabwe 2012 IPUMS Industry, general recode 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 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. IPUMS 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. CodesArgentina 1970 - Spanish Argentina 1980 - Spanish Argentina 1991 - Spanish Argentina 2001 - Spanish Armenia 2001 Armenia 2011 Austria 1971-2001 - German Austria 2011 Bangladesh 1991 Bangladesh 2001 Bangladesh 2011 Belarus 2009 Benin 1979 Benin 1992 Benin 2002 Benin 2013 Bolivia 1976 Bolivia 1992 Bolivia 2001 Bolivia 2012 Botswana 1981 Botswana 1991 Botswana 2001 Botswana 2011 Brazil 1960 - Portuguese Brazil 1970 - Portuguese Brazil 1980 - Portuguese Brazil 1991 - Portuguese Brazil 2000 - Portuguese Brazil 2010 Burkina Faso 1996 Cambodia 1998 Cambodia 2004 Cambodia 2008 Cambodia 2013 Cambodia 2019 Cameroon 2005 Canada 1971 Canada 1981 Canada 1991-2001 Canada 2011 Chile 1960 Chile 1970 Chile 1982 Chile 1992 Chile 2002 Chile 2017 China 1982 China 1990 China 2000 Colombia 1964 - Spanish Colombia 1973 - Spanish Colombia 1993 - Spanish Colombia 2005 - Spanish Costa Rica 1963 Costa Rica 1973 Costa Rica 1984 Costa Rica 2000 Costa Rica 2011 Cote d’Ivoire 1988 Cote d’Ivoire 1998 Cuba 2002 Cuba 2012 Dominican Republic 1960 Dominican Republic 1970 Dominican Republic 1981 Dominican Republic 2002 Dominican Republic 2010 Ecuador 1962 Ecuador 1982 Ecuador 1990 Ecuador 2001 Ecuador 2010 Egypt 1986 Egypt 1996 Egypt 2006 El Salvador 1992 El Salvador 2007 Ethiopia 1984 Ethiopia 1994 Fiji 1966 Fiji 1976 Fiji 1986 Fiji 1996 Fiji 2007 Fiji 2014 Finland 2010 France 1962-1968 - French France 1975-1982 - French France 1990 - French France 1999 France 2006 France 2011 Germany 1970 Germany 1971 Germany 1981 Germany 1987 Ghana 1984 Ghana 2000 Ghana 2010 Greece 1971 Greece 1981 Greece 1991-2001 Greece 2011 Guatemala 1964 Guatemala 1973 Guatemala 1981 Guatemala 1994 Guatemala 2002 Guinea 1983 Guinea 2014 Haiti 1971 Haiti 1982 Haiti 2003 Honduras 1961 Honduras 1974 Honduras 2001 Hungary 2001 Hungary 2011 India 1983 India 1987 India 1993 India 1999 India 2004 India 2009 Indonesia 1971 Indonesia 1976 Indonesia 1980 Indonesia 1985 Indonesia 1990 Indonesia 1995 Indonesia 2000 Indonesia 2005 Indonesia 2010 Iran 2006 Iran 2011 Iraq 1997 Ireland 1971 Ireland 1981 Ireland 1986 Ireland 1991 Ireland 1996 Ireland 2002 Ireland 2006 Ireland 2011 Ireland 2016 Israel 1972 Israel 1983 Israel 1995 Israel 2008 Italy 2001 Italy 2011 Italy Surveys 2011-2013 Italy Surveys 2014-2020 Jamaica 1982 Jamaica 1991 Jamaica 2001 Jordan 2004 Kyrgyz Republic 1999 Kyrgyz Republic 2009 Laos 1995 Laos 2005 Laos 2015 Lesotho 2006 Liberia 1974 Liberia 2008 Malawi 1987 Malawi 1998 Malawi 2008 Malaysia 1970 Malaysia 1980-1991 Malaysia 2000 Mali 1987 Mali 1998 Mali 2009 Mauritius 1990 Mauritius 2000 Mauritius 2011 Mexico 1960 - Spanish Mexico 1970 - Spanish Mexico 1990 - Spanish Mexico 1995 - Spanish Mexico 2000 - Spanish Mexico 2010 Mexico 2015 Mexico 2020 Mexico surveys 2005-2019 Morocco 1982 Morocco 1994 Morocco 2004 Morocco 2014 Mozambique 1997 Mozambique 2007 Myanmar 2014 Nepal 2001 Nepal 2011 Netherlands 1960 Netherlands 1971 Netherlands 2001 Netherlands 2011 Nicaragua 1971 Nicaragua 1995 Nicaragua 2005 Nigeria 2006 Nigeria 2007 Nigeria 2008 Nigeria 2009 Nigeria 2010 Pakistan 1973 Palestine 1997 Palestine 2007 Palestine 2017 Panama 1960 - Spanish Panama 1970-1980 - Spanish Panama 1990-2000 - Spanish Panama 2010 Papua New Guinea 1980 Papua New Guinea 2000 Paraguay 1962 Paraguay 1972 Paraguay 1982 Paraguay 1992 Paraguay 2002 Peru 1993 Peru 2007 Peru 2017 Philippines 1990 Philippines 1995 Philippines 2000 Philippines 2010 Poland 1978 Poland 2002 Portugal 1981 - Portuguese Portugal 1991-2001 - Portuguese Portugal 2011 Puerto Rico 1970-2005 Puerto Rico 2010 Puerto Rico 2015 Puerto Rico 2020 Romania 1977 Romania 1992 Romania 2002 Romania 2011 Rwanda 2002 - French Rwanda 2012 Saint Lucia 1991 Senegal 1988 Senegal 2013 Sierra Leone 2004 South Africa 1996 South Africa 2001-2007 South Sudan 2008 Spain 1981 - Spanish Spain 1991 - Spanish Spain 2001 - Spanish Spain 2011 Spain Surveys 2005-2020 Sudan 2008 Suriname 2004 Suriname 2012 Switzerland 1970-2000 Switzerland 2011 Tanzania 2002 Tanzania 2012 Thailand 1970 Thailand 1980 Thailand 1990 Thailand 2000 Togo 1970 Togo 2010 Trinidad and Tobago 1980 Trinidad and Tobago 1990 Trinidad and Tobago 2000 Turkey 1985 Turkey 1990 Turkey 2000 Uganda 2002 United Kingdom 1961 United Kingdom 1971 United Kingdom 1991 United Kingdom 2001 United States 1960 United States 1970 United States 1980 United States 1990 United States 2000-2005 United States 2010 United States 2015 United States 2020 Uruguay 1963 Uruguay 1985 Uruguay 1996 Uruguay 2006 Venezuela 1981 Venezuela 1990 Venezuela 2001 - Spanish Vietnam 1989 Vietnam 1999 Vietnam 2009 Vietnam 2019 Zambia 1990 Zambia 2000 Zambia 2010 IPUMS Status in employment (class of worker) [general version] NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing 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. IPUMS Status in employment (class of worker) [detailed version] 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 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 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. IPUMS Years residing in current locality 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) MIGYRS1 indicates how many years the person has resided in their current locality of residence. IPUMS Region of previous residence, Morocco; consistent boundaries, GIS 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 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. IPUMS Region of residence 1 years ago, Morocco; consistent boundaries, GIS 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 504999 NIU (not in universe) MIG1ALT_1_MA indicates the person's region of residence one year prior to the census within Morocco. Migration region codes from MIG1ALT_1_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. IPUMS Province of previous residence, Morocco; consistent boundaries, GIS 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 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. IPUMS Province of residence 1 years ago, Morocco; consistent boundaries, GIS 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 Persons living in tents 504098098 Unknown 504099099 NIU (not in universe) MIG2ALT_1_MA indicates the person's province of residence one year ago within Morocco. Migration province codes from MIG2ALT_1_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. IPUMS Employment disability 1 Disabled 2 Not disabled 8 Unknown 9 NIU (not in universe) DISEMP indicates if the respondent was economically inactive because of disabilities or, in some instances, other health-related reasons. IPUMS Person number (within household) Morocco 1994: All persons 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 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 This variable indicates the person number (within household). IPUMS Relationship to head of household <svar a="all" v="MA94A401">Q3. Relationship to household head:<br /><div class="i1">[] 0 Household head<br />[] 1 Head's wife<br />[] 2 Son or daughter<br />[] 3 Grandson or granddaughter<br />[] 4 Father or mother<br />[] 5 Brother or sister<br />[] 6 Son-in-law or daughter-in-law<br />[] 7 Other relative to determine<br />[] 8 No relationship</div><br /></svar> Morocco 1994: All persons 01 Head of household 02 Spouse 03 Son, daughter 04 Grandson/daughter 05 Mother, father 06 Brother, sister 07 Son/daughter in-law 08 Other relative 09 No kin relationship 10 Other 99 Unknown This variable indicates a person's relationship to the head of household. IPUMS Residence status <svar a="all" v="MA94A402">Q4. Status of residence:<br /><div class="i1">[] 1 "Resident present" is anyone present at his usual place of residence on the census reference date<br />[] 2 "Resident temporarily absent" is anyone absent from his/her usual residence for a period shorter than 6 months</div><br /></svar> Morocco 1994: All persons 1 Resident, present 2 Resident, absent This variable indicates a person's residence status. IPUMS Sex <svar a="all" v="MA94A403">Q5. Sex:<br /><div class="i1">Always ask this question.<br /><br />[] 1 Male<br />[] 2 Female</div><br /></svar> Morocco 1994: All persons 1 Male 2 Female This variable indicates a person's sex. IPUMS Month of birth Date of birth or age. Show clearly date of birth or age according to declaration.</p> <p>Q6a. Date of birth</p> <div class="i1">Example: declared 9 July 1953, write 09 1953<br /><br />____</div><p>Q6b. Age in years</p> <div class="i1">Example: declared 48 years old. Put 48. For [persons] younger than one year, write "00".<br />____</div> Morocco 1994: All persons 01 January 02 February 03 March 04 April 05 May 06 June 07 July 08 August 09 September 10 October 11 November 12 December 99 Unknown This variable indicates a person's month of birth. IPUMS Year of birth (Gregorian and Hegirian calendars) Date of birth or age. Show clearly date of birth or age according to declaration.</p> <p>Q6a. Date of birth</p> <div class="i1">Example: declared 9 July 1953, write 09 1953<br /><br />____</div><p>Q6b. Age in years</p> <div class="i1">Example: declared 48 years old. Put 48. For [persons] younger than one year, write "00".<br />____</div> Morocco 1994: All persons 1896 1896 1898 1898 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 9999 Unknown This variable indicates a person's year of birth (according to the Gregorian calendar). IPUMS Age in years Date of birth or age. Show clearly date of birth or age according to declaration.</p> <p>Q6a. Date of birth</p> <div class="i1">Example: declared 9 July 1953, write 09 1953<br /><br />____</div><p>Q6b. Age in years</p> <div class="i1">Example: declared 48 years old. Put 48. For [persons] younger than one year, write "00".<br />____</div> Morocco 1994: All persons 00 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+ 99 Unknown This variable indicates a person's age in years. IPUMS Marital status <svar a="all" v="MA94A408">Q7. Matrimonial status:<br /><div class="i1">[] 1 Single, never married<br />[] 2 Married is everyone legally/religiously married even if the marriage has not been consummated yet.<br />[] 3 Widowed -- the husband or wife died <br />[] 4 Divorced is everyone legally/religiously divorced through a legal procedure</div><br /></svar> Morocco 1994: All persons 1 Single 2 Married 3 Widowed 4 Divorced This variable indicates a person's marital status. IPUMS Country of citizenship <svar a="all" v="MA94A409">Q8. Nationality:<br /><div class="i1">[] 01 Moroccan<br />[] 02 Algerian<br />[] 03 Tunisian<br />[] 40 French<br />[] 41 Spanish<br />[] Other nationality: mention but do not code ____</div><br /></svar> Morocco 1994: All persons 01 Morocco 02 Algeria 03 Tunisia 04 Cameroon 07 Egypt 08 Gabon 10 Libya 11 Mali 12 Mauritania 14 Senegal 16 Sudan 20 Other African countries 21 Saudi Arabia 26 India 27 Iraq 28 Jordania 30 Lebanon 34 Syria 37 Palestine 39 Other Asian countries 40 France 41 Spain 42 Belgium 43 Bulgaria 49 Italy 53 Portugal 54 Germany 55 Roumania 58 United Kingdom 59 Russia 60 Yugoslavia 61 Other European countries 71 United States of America 98 Other foreign country This variable indicates a person's country of citizenship. IPUMS Vital registration <svar a="all" v="MA94A410">Q9. Civil status (for Moroccan): Is this person registered in civil status?<br /><br /><div class="i1">All Moroccan to be considered<br /><br />[] 1 Yes<br />[] 2 No</div><br /></svar> Morocco 1994: Moroccan citizens [discrepancies: type I trace; type II none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether or not a person has vital registration. IPUMS Place of birth <svar a="all" v="MA94A411">Q10. Place of birth<br /><div class="i1">If place of birth is in the same town or village write code "10000". Or mention the name of the town (or the closest village and community).<br /><br />____</div><br /></svar> Morocco 1994: Persons not living in tents [discrepancies: none] Same town/village 1 Different town/village, Morocco 2 Born abroad 8 Unknown 9 NIU (not in universe) This variable indicates a person's place of birth. IPUMS Province of birth <svar a="all" v="MA94A411">Q10. Place of birth<br /><div class="i1">If place of birth is in the same town or village write code "10000". Or mention the name of the town (or the closest village and community).<br /><br />____</div><br /></svar> Morocco 1994: Persons not living in tents [discrepancies: none] 000 Same town/village 001 Agadir Ida ou Tanane 011 Ain Chock-Hay Hassani 021 Ain Sebaa-Hay Mohammadi 031 Al Fida-Derb Sultan 041 Al Haouz 051 Al Hoceima 061 Al Ismailia 071 Assa-Zag 081 Azilal 091 Beni Mellal 101 Ben Msick-Sidi Othmane 111 Ben Slimane 113 Berkane-Taourirt 121 Boujdour 131 Boulemane 141 Casablanca-Anfa 151 Chefchaouen 161 Chichaoua 163 Chtouka-Ait Baha 171 El Hajeb 181 El Jadida 191 El Kelaa Sraghna 201 Errachidia 211 Essaouira 221 Essemara 231 Fes El Jadid-Dar Dbibagh 241 Fes Medina 251 Figuig 261 Guelmim 271 Ifrane 273 Inezgane-Ait Melloul 275 Jrada 281 Kenitra 291 Khemisset 301 Khenifra 311 Khouribga 321 Laayoune 331 Larache 333 Machouar-Casablanca 341 Marrakech-Medina 351 Marrakech-Menara 361 Meknes-El Menzeh 371 Mohammedia 381 Nador 385 Nouaceur 391 Ouad Eddahab 401 Ouarzazate 411 Oujda-Angad 421 Rabat 431 Safi 441 Sale 451 Sefrou 461 Settat 471 Sidi Sernoussi-Zenata 481 Sidi Kacem 491 Sidi Youssef-Ben Ali 501 Skhirate-Temara 511 Tanger 521 Tan-Tan 531 Taounate 541 Taroudannt 551 Tata 561 Taza 571 Tetouan 581 Tiznit 591 Zouagha-Moulay Yacoub 997 Born abroad 998 Unknown 999 NIU (not in universe) IPUMS Place of previous residence <svar a="all" v="MA94A412">Q11. Place of last residence prior to current residence<br /><div class="i1">In case of residence in the same house, write "00000"<br />In case of changing house, but still in the same town or village, write "10000"<br />In case of changing town or village, write the name of the town or village with closest town<br /><br />____</div><br /></svar> Morocco 1994: Persons not living in tents [discrepancies: none] Same house (never moved) 1 Same town/village, different house 2 Different town/village, Morocco 3 Abroad 8 Unknown 9 NIU (not in universe) This variable indicates a person's place of previous residence. IPUMS Province of previous residence <svar a="all" v="MA94A412">Q11. Place of last residence prior to current residence<br /><div class="i1">In case of residence in the same house, write "00000"<br />In case of changing house, but still in the same town or village, write "10000"<br />In case of changing town or village, write the name of the town or village with closest town<br /><br />____</div><br /></svar> Morocco 1994: Persons not living in tents [discrepancies: none] 000 Same house (never moved) 001 Agadir Ida ou Tanane 011 Ain Chock-Hay Hassani 021 Ain Sebaa-Hay Mohammadi 031 Al Fida-Derb Sultan 041 Al Haouz 051 Al Hoceima 061 Al Ismailia 071 Assa-Zag 081 Azilal 091 Beni Mellal 101 Ben Msick-Sidi Othmane 111 Ben Slimane 113 Berkane-Taourirt 121 Boujdour 131 Boulemane 141 Casablanca-Anfa 151 Chefchaouen 161 Chichaoua 163 Chtouka-Ait Baha 171 El Hajeb 181 El Jadida 191 El Kelaa Sraghna 201 Errachidia 211 Essaouira 221 Essemara 231 Fes El Jadid-Dar Dbibagh 241 Fes Medina 251 Figuig 261 Guelmim 271 Ifrane 273 Inezgane-Ait Melloul 275 Jrada 281 Kenitra 291 Khemisset 301 Khenifra 311 Khouribga 321 Laayoune 331 Larache 333 Machouar-Casablanca 341 Marrakech-Medina 351 Marrakech-Menara 361 Meknes-El Menzeh 371 Mohammedia 381 Nador 385 Nouaceur 391 Ouad Eddahab 401 Ouarzazate 411 Oujda-Angad 421 Rabat 431 Safi 441 Sale 451 Sefrou 461 Settat 471 Sidi Sernoussi-Zenata 481 Sidi Kacem 491 Sidi Youssef-Ben Ali 501 Skhirate-Temara 511 Tanger 521 Tan-Tan 531 Taounate 541 Taroudannt 551 Tata 561 Taza 571 Tetouan 581 Tiznit 591 Zouagha-Moulay Yacoub 996 Same town/village, different house 997 Abroad 998 Unknown 999 NIU (not in universe) IPUMS Duration of residence (in current town/village) <svar a="all" v="MA94A413">Q12. Length of residence:<br /><div class="i1">Remember the length of residence in a town or village where the person lives. For people who have never changed their town or village of residence, write "99".<br /><br />____</div><br /></svar> Morocco 1994: Persons not living in tents [discrepancies: none] 00 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+ 97 Same town/village 98 Unknown 99 NIU (not in universe) This variable indicates a person's duration of residence in their current town/village, in years. IPUMS Place of residence last year (during the previous Aid Al Adha holiday) <svar a="all" v="MA94A414">Q13. Place of residence during or before the last Al-aid Adha holiday<br /><div class="i1">In case of residence in the same house, write "00000"<br />In case of changing house, but still on same town or village, write "10000"<br />In case of changing town or village, write the name of the town or village with closest town<br /><br />____</div><br /></svar> Morocco 1994: Persons not living in tents [discrepancies: none] Same town/village 1 Same town/village, different house 2 Different town/village, Morocco 3 Abroad 8 Unknown 9 NIU (not in the universe) This variable indicates a person's place of residence last year (during the previous Aid Al Adha holiday). IPUMS Province of residence last year (during the previous Aid Al Adha holiday) <svar a="all" v="MA94A414">Q13. Place of residence during or before the last Al-aid Adha holiday<br /><div class="i1">In case of residence in the same house, write "00000"<br />In case of changing house, but still on same town or village, write "10000"<br />In case of changing town or village, write the name of the town or village with closest town<br /><br />____</div><br /></svar> Morocco 1994: Persons not living in tents [discrepancies: none] 000 Same town/village 001 Agadir Ida ou Tanane 011 Ain Chock-Hay Hassani 021 Ain Sebaa-Hay Mohammadi 031 Al Fida-Derb Sultan 041 Al Haouz 051 Al Hoceima 061 Al Ismailia 071 Assa-Zag 081 Azilal 091 Beni Mellal 101 Ben Msick-Sidi Othmane 111 Ben Slimane 113 Berkane-Taourirt 121 Boujdour 131 Boulemane 141 Casablanca-Anfa 151 Chefchaouen 161 Chichaoua 163 Chtouka-Ait Baha 171 El Hajeb 181 El Jadida 191 El Kelaa Sraghna 201 Errachidia 211 Essaouira 221 Essemara 231 Fes El Jadid-Dar Dbibagh 241 Fes Medina 251 Figuig 261 Guelmim 271 Ifrane 273 Inezgane-Ait Melloul 275 Jrada 281 Kenitra 291 Khemisset 301 Khenifra 311 Khouribga 321 Laayoune 331 Larache 341 Marrakech-Medina 351 Marrakech-Menara 361 Meknes-El Menzeh 371 Mohammedia 381 Nador 385 Nouaceur 391 Ouad Eddahab 401 Ouarzazate 411 Oujda-Angad 421 Rabat 431 Safi 441 Sale 451 Sefrou 461 Settat 471 Sidi Sernoussi-Zenata 481 Sidi Kacem 491 Sidi Youssef-Ben Ali 501 Skhirate-Temara 511 Tanger 521 Tan-Tan 531 Taounate 541 Taroudannt 551 Tata 561 Taza 571 Tetouan 581 Tiznit 591 Zouagha-Moulay Yacoub 996 Same town/village, different house 997 Abroad 998 Unknown 999 NIU (not in the universe) IPUMS Children living at home For married, widowed, divorced women. Show the total number of kids born alive (male and female) <br />[Questions 14a-f]</p> <p><svar a="all" v="MA94A415 MA94A416 MA94A417 MA94A418">During the lifetime of the aforementioned women<br />[Questions 14a-c]<br /><br />Q14a. Who currently live in the household ___<br />Q14b. Who do not currently live in the household but live in Morocco ____<br />Q14c. Who currently live out of Morocco ____<br />Q14d. Who died ____<br /></svar> Morocco 1994: Married, divorced or widowed females age 10+ [discrepancies: type I trace; type II none] 00 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+ 98 Unknown 99 NIU (not in the universe) This variable indicates the person's number of children living at home. IPUMS Children living elsewhere in Morocco For married, widowed, divorced women. Show the total number of kids born alive (male and female) <br />[Questions 14a-f]</p> <p><svar a="all" v="MA94A415 MA94A416 MA94A417 MA94A418">During the lifetime of the aforementioned women<br />[Questions 14a-c]<br /><br />Q14a. Who currently live in the household ___<br />Q14b. Who do not currently live in the household but live in Morocco ____<br />Q14c. Who currently live out of Morocco ____<br />Q14d. Who died ____<br /></svar> Morocco 1994: Married, divorced or widowed females age 10+ [discrepancies: type I trace; type II none] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12+ 98 Unknown 99 NIU (not in the universe) This variable indicates the person's number of children living elsewhere in Morocco. IPUMS Children living in foreign countries For married, widowed, divorced women. Show the total number of kids born alive (male and female) <br />[Questions 14a-f]</p> <p><svar a="all" v="MA94A415 MA94A416 MA94A417 MA94A418">During the lifetime of the aforementioned women<br />[Questions 14a-c]<br /><br />Q14a. Who currently live in the household ___<br />Q14b. Who do not currently live in the household but live in Morocco ____<br />Q14c. Who currently live out of Morocco ____<br />Q14d. Who died ____<br /></svar> Morocco 1994: Married, divorced or widowed females age 10+ [discrepancies: type I trace; type II none] 00 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 98 Unknown 99 NIU (not in the universe) This variable indicates the person's number of children living in foreign countries. IPUMS Children who died For married, widowed, divorced women. Show the total number of kids born alive (male and female) <br />[Questions 14a-f]</p> <p><svar a="all" v="MA94A415 MA94A416 MA94A417 MA94A418">During the lifetime of the aforementioned women<br />[Questions 14a-c]<br /><br />Q14a. Who currently live in the household ___<br />Q14b. Who do not currently live in the household but live in Morocco ____<br />Q14c. Who currently live out of Morocco ____<br />Q14d. Who died ____<br /></svar> Morocco 1994: Married, divorced or widowed females age 10+ [discrepancies: type I trace; type II none] 00 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+ 98 Unknown 99 NIU (not in the universe) This variable indicates the person's number of children who have died. IPUMS Children who are alive (born in previous 12 months) For married, widowed, divorced women. Show the total number of kids born alive (male and female) <br />[Questions 14a-f]</p> <p><svar a="all" v="MA94A419 MA94A420">During last 12 months, for women younger than 51.<br />[Questions 14e-f]<br /><br />Q14e. Who are still alive ____<br />Q14f. Who died ____<br /></svar> Morocco 1994: Married, divorced or widowed females ages 10-50 [discrepancies: type I trace; type II none] 1 1 2 2 3 3+ 8 Unknown 9 NIU (not in the universe) This variable indicates the person's number of children surviving (that were born in the previous 12 months). IPUMS Children who have died (born in previous 12 months) For married, widowed, divorced women. Show the total number of kids born alive (male and female) <br />[Questions 14a-f]</p> <p><svar a="all" v="MA94A419 MA94A420">During last 12 months, for women younger than 51.<br />[Questions 14e-f]<br /><br />Q14e. Who are still alive ____<br />Q14f. Who died ____<br /></svar> Morocco 1994: Married, divorced or widowed females ages 10-50 [discrepancies: type I trace; type II none] 1 1 2 2 3 3 8 Unknown 9 NIU (not in the universe) This variable indicates the person's number of children who have died (that were born in the previous 12 months). IPUMS Literacy For persons age 10 years or older <br />[Questions 15-16]</p> <p><svar a="all" v="MA94A421">Q15. Read and write:<br /><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 besides French<br />[] 5 Other cases to be mentioned ____</div><br /></svar> Morocco 1994: Persons aged 10+ [discrepancies: type I trace; type II none] Illiterate 1 Arabic only 2 Arabic and French 3 Arabic, French and another 4 Arabic and another (not French) 5 Other cases 9 NIU (not in the universe) This variable indicates whether a person is literate. IPUMS Level of education / last grade completed (detailed) <svar a="all" v="MA94A424 MA94A425">Q17. Last educational level attained in public school____<br /></svar> Morocco 1994: All persons 00 None 01 Preschool, not specified 02 Preschool, kindergarten 03 Preschool, Koranic 10 Basic education, first grade 11 Basic education, second grade 12 Basic education, third grade 13 Basic education, fourth grade 14 Basic education, fifth grade 15 Basic education, sixth grade 16 Basic education, seventh grade 17 Basic education, eighth grade 18 Basic education, ninth grade 21 Secondary, year 1 22 Secondary, year 2 23 Secondary, year 3 31 Higher education, year 1 32 Higher education, year 2 33 Higher education, year 3 34 Higher education, year 4 35 Higher education, year 5 36 Higher education, year 6 37 Higher education, year 7 99 Unknown This variable indicates a person's level of education or last grade completed in detail. IPUMS Level of education (grouped) <svar a="all" v="MA94A424 MA94A425">Q17. Last educational level attained in public school____<br /></svar> Morocco 1994: All persons None 1 Preschool 2 Basic education 3 Secondary 4 Higher education 9 Unknown Thsi variable indicates a person's level of education in grouped levels. IPUMS Employment status <svar a="all" v="MA94A426">Q18. Activity type:<br /><div class="i1">[] 0 Active occupied<br />Every person, man or woman, age 7 or older who declared on the census reference date that he/she has a professional activity is considered actively employed. 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. [This definition] also includes individuals with a job who are absent from their job during the census period because of annual leave, sickness, accident.<br /><br />[] 1 Unemployed, never worked before<br />Anyone age 15 or older, who declares that he/she has no job on the census reference date but is searching, is actively unemployed. These individuals never worked in the past.<br /><br />[] 2 Unemployed, worked in the past<br />Active unemployed is anyone age 15 or older who declares that he/she has no job at the census reference date but is searching. These individuals have worked in the past.<br /><br />[] 3 Housewife<br />Every girl or woman age 15 years or older who does not practice any work, but takes care of the house and the household members (cleaning, cooking, etc.). Not all women are to be automatically classified in this category. The enumerator should separate between a housewife and a woman that does some activities (weaving, agriculture, serving) for money or in-kind compensation. Therefore, these women should be classified in the former categories according to their status during the census.<br /><br />[] 4 Student<br />Every individual whose primary activity is limited to going to school or attending a professional training establishment during the 2003-2004 school-year, if he was not planning to attend next year. But the student who finished schooling is considered an actively employed or unemployed [person], depending on his situation.<br />If a student has a part-time job, even if paid, he is still considered a student. In addition, a student civil servant is considered a student even if he is receiving a salary. However, an employee who is a taking night classes or education to improve his skills is considered as actively employed.<br /><br />[] 5 Landlord or retired<br />He/she is not active. His earnings come from renting properties (apartment, farming land) or a retirement plan from private or government establishments. But if this person is practicing economic activities, then he/she should be considered actively employed.<br /><br />[] 6 Sick or handicapped<br />Sick or handicapped is a person whose handicap/illness prevents him from doing any job.<br /><br />[] 7 Child<br />Younger than 15, doesn't work and is not in school.<br /><br />[] 8 Other cases to be noted ____<br />[] Younger than 15, doesn't work and is not in school.</div><br /></svar> Morocco 1994: All persons 01 Employed 02 Unemployed, never worked 03 Unemployed, worked before 04 Housewife 05 Student, pupil 06 Person with private means, retired 07 Disabled/impaired 08 Children 09 Other cases 99 Unknown This variable indicates a person's employment status. IPUMS Occupation (1 digit) <svar a="all" v="MA94A427 MA94A428 MA94A429 MA94A430">Q19. Primary profession carried on<br /><div class="i1">This question is asked to every active occupied or unemployed. This question was coded at a later stage (please see instructions manual to code professions). It concerns active occupied, active not working but had held a job in the past, and active never worked before but with qualifications.<br />____</div><br /></svar> Morocco 1994: Employed and unemployed persons [discrepancies: type I trace; type II 0.1%] 00 Locally elected legislation officials, public function representatives, directors and company executives 01 Executives and members of liberal professions 02 Middle management 03 Employees 04 Merchants, traders, financiers 05 Farmers, fishers, forestry persons, hunters, and related workers 06 Craftsmen and handcrafts skills workers (excluding agricultural workers) 07 Workers and agricultural, fishing laborers (including skilled workers) 08 Plant and machinery operators and assembly workers 09 Non-farm laborers, freight handlers, and small business workers 97 People looking for their first employment 98 Unknown 99 NIU (not in universe) This variable indicates a person's occupation (1-digit). IPUMS Occupation (2 digit) <svar a="all" v="MA94A427 MA94A428 MA94A429 MA94A430">Q19. Primary profession carried on<br /><div class="i1">This question is asked to every active occupied or unemployed. This question was coded at a later stage (please see instructions manual to code professions). It concerns active occupied, active not working but had held a job in the past, and active never worked before but with qualifications.<br />____</div><br /></svar> Morocco 1994: Employed and unemployed persons [discrepancies: type I trace; type II 0.1%] 001 Public administration officials (ministry central services) and members of the diplomatic corps 002 Local territorial administration and non-ministry services 003 Public non-profit organization officials and public establishment sellers 004 Teaching establishment (public and private) officials 005 Hospital, clinic, health center, and similar officials 006 Members of elected bodies and leaders of political organizations, unions, and associations 007 Directors and executives of corporations or quasi-corporations both public and semi-public) 008 Patrons of businesses not organized as corporations or quasi-corporations 009 Locally elected legislation officials, nec 011 Executives specializing in scientific and technical occupations 012 Social sciences and humanities specialists 013 Members of religious organizations (executive level) 014 Higher and secondary education teachers, and similar 015 Lawyers, magistrates and other legal professions 016 Information and communications science professionals 017 Senior administrative offices without command responsibilities, business, finance and management executives 018 Fine arts and extertainment artists 021 Industry, construction, public works, mining, and energy technicians 022 Electricity, electronics, and telecommunications (installation, repair and maintenance) technicians 023 Agriculture, livestock and forestry technicians 024 Health and social services technicians and middle management 025 Basic education preschool, vocational school professors and teachers (qualification and specialization level) 026 Senior associate executives; intermediate professionals for commerce, finance, management, informatics, statistics; middle management for legal professions 027 Associate professionals in informatics and communications, social sciences, arts, sports, entertainment, and other services 028 Water and air transportation technicians 029 Various technicians and associated professionals 031 Administration employees 032 Commerce employees 033 Hotel, restaurant employees 034 Personal and domestic service employees 035 Security service employess 036 Religious organization employees 039 Employees nec 041 Wholesale or semi-wholesale traders (including importers-exporters) 044 Middle tradesmen and financiers 049 Merchants, traders, financiers, nec 051 Farmers 052 Fishermen and related professionals 053 Forestry workers, hunters, and related professionals 059 Farmers, fishers, forestry persons, hunters, and related workers, nec 060 Craftsmen and skilled workers in mining 061 Craftsmen and skilled workers in construction and public works 062 Craftsmen and skilled workers in metal production and treatment 063 Craftsmen and skilled workers in mechanics, electricity and electronics assembly and installation 064 Craftsmen and skilled workers in precision engineering, crafts, printing, and related works 065 Craftsmen and skilled workers in carpentry 066 Food, beverage, tobacco craftsmen 067 Craftsmen and skilled workers in services 068 Craftsmen and skilled workers in textile products, leather, shoes, and clothing 069 Other craftsmen and skilled workers nec 071 Skilled workers for agriculture, forestry, fishing, and vocational school raduates (qualification and specialization level) 072 Workers and agricultural laborers 073 Workers and fishing laborers 074 Workers and forestry, hunting laborers 079 Workers and agricultural, fishing laborers, nec 081 Installations and fixed equipment operators, and similar 082 Machine operators and assembly workers, and similar 083 Heavy machinery and vehicle operators, and similar 089 Plant and machinery operators and assembly workers, nec 091 Trade and services laborers 092 Crafts laborers 093 Mining handlers and laborers 094 Construction handlers and laborers 095 Industry handlers and laborers 096 Transportation handlers and laborers 097 Casual laborers in the national promotion 098 Other occupation, response suppressed 099 Non-farm laborers, freight handlers, and small business workers, nec 997 Persons seeking their first job 998 Unknown 999 NIU (not in universe) This variable indicates a person's occupation (2-digit). IPUMS Occupation, 3-digit <svar a="all" v="MA94A427 MA94A428 MA94A429 MA94A430">Q19. Primary profession carried on<br /><div class="i1">This question is asked to every active occupied or unemployed. This question was coded at a later stage (please see instructions manual to code professions). It concerns active occupied, active not working but had held a job in the past, and active never worked before but with qualifications.<br />____</div><br /></svar> Morocco 1994: Employed and unemployed persons [discrepancies: type I trace; type II 0.1%] 011 Managers of the central public administration 012 Members of the diplomatic corps 019 Public administration officials (ministry central services) and members of the diplomatic corps nec 021 Managers of the local territorial administration 022 Managers of exterior services department 031 Directors, deputy directors of public non-profit and commercial public establishments, and similar 032 Heads of departments, heads of divisions and heads of departments of public non-profit and commercial public establishments, and similar 039 Other managers of non-profit agencies and commercial public establishments nec 041 Managers of higher education institutions 042 Managers of secondary education 043 Managers of basic education institutions and preschools 044 Managers of educational institutions 049 Other managers of educational institutions nec 051 Department head, director of hospitals, clinics, health centers and similar 059 Other executives of hospitals, clinics, health centers and similar nec 061 MPs, parliamentary and municipal councilors 062 Leaders and executives of political parties 063 Managers and executives of organizations for economic purposes, including trade unions 064 Managers and executives of non-profit organizations for sporting, cultural and social events 069 Members of elected bodies and leaders of political organizations, unions, and associations nec 071 Executives of companies in agriculture and forestry 072 Executives of fishing company 073 Executives of construction companies 074 Executives of industrial companies 075 Executives of mining companies 076 Executives of specialized corporate service companies 079 Executives of companies or quasi-corporation 081 Owners of enterprises not organized in companies or quasi-corporations 099 Locally elected legislation officials, nec 111 Physicists, astronomers, chemists, geophysicists, mathematicians and similar 112 Senior information technology executives 113 Meteorology engineers and other similar engineers 115 Senior health executives, including general practitioners, surgeons, and surgery dentists 119 Executives specializing in scientific and technical occupations nec 122 Sociologists, philosophers, psychologiests and similar professionals 124 Legal advisers, political scientists and similar 125 Linguists, translators and interpreters 129 Social sciences and humanities specialists nec 139 Members of religious organizations (executive level) nec 141 Higher education professors 142 Teachers in secondary education and vocational training (technical training) and similar 151 Lawyers or legal advisors 152 Attorneys and judges 153 Notaries, tax advisors, solicitors, adouls and other legal professions nec 161 Archivists, research workers, and librarians 162 Journalists, television and radio reporters, and similar 171 Executive administrators 172 Financial and management executives 179 Senior administrative offices without command responsibilities, business, finance and management executives nec 181 Sculptors, painters, cartoonists, theater and film decorators, advertising, fashion, and poster designers, models and similar 182 Composers, musicians, singers, choreographers, dancers, actors, producers and directors of film; and other perfomance artists 189 Fine arts and entertainment artists nec 199 Executives and members of liberal professions, nec 211 Technicians in industry and energy 212 Construction and public works technicians 213 Geology technicians; mining and mining extraction technicians and similar 219 Industry, construction, public works, mining, and energy technicians nec 221 Electrical engineering technicians for electrical and electromechanical appliances 222 Optical and electronic equipment technicians 229 Electrical engineering technicians in electronics and telecommunications nec 231 Technicians specialized in crops 232 Livestock production technicians 233 Agricultural technology specialized technicians and agricultural advisors 234 Water and forestry technicians 235 Agricultural research, water affairs and forestry research, animal production research and related technicians 236 Land conservation technicians, assistants, supervisors and technicians treated land legislation 239 Agriculture, livestock and forest technicians nec 241 Intermediate professionals in modern healthcare (except nursing) 242 Nurses and registered midwifes 243 Paramedic technicians and related workers 249 Health and social services technicians and middle management nec 251 Second cycle teachers of basic education 252 First cycle teachers of basic education 253 Preschool education teachers 254 Vocational training center teachers (qualification and specialization level) 259 Other teachers in basic education, preschool, and vocational training centers (qualification and specialization level) and similar nec 261 Middle level executives of public and local services, and public and semi-public businesses 262 Sales managers, buyers, sales representative and middle-level trade professionals 263 Middle-level professionals in finance and management 264 Computer technicians, programmers, statistical technicians and similar middle-lelvel executives 265 Middle-level executives in legal professions and similar 269 Middle-level executives in trade, finance, and management, middle-level executives in computer and statistics, middle-level executives in legal professions and similar nec 271 Social services technicians, social workers and related middle-leve executives specializing in social and human sciences 272 Middle-level professionals in entertainment and sports 279 Middle-level professionals in arts, humanities, social sciences, and other services nec 281 Deck and sea fishing technicians: shift supervisor in fishing, second deck officer, skipper, naval engineering technicians and similar 282 Professional aircraft and helicopter pilots, flight instructors; air traffic controllers; aviation and air telecommunications security technicians and related professionals 289 Sea and air transport vehicle technicians nec 291 Meteorologists and related technicians 292 Hygiene safety standards and quality controllers, and similar 293 Mechanical technicians (repair and maintenance only) 299 Technicians and middle-level staff nec 311 Clerical work 312 Employees in direct contact with the population 319 Administration employees nec 321 Sales clerks, shop assistants and demonstrators nec, sales by mail, service station employee, and similar 329 Commerce employees nec 331 Travel attendants, guides and other related personnel 332 Employees in food services 339 Hotel, restaurant employees nec 341 Babysitters, aides and similar 342 Qualified employees in domestic services 349 Personal and domestic service employees nec 351 Security services personnel 359 Security service employess nec 361 Permanet imams, muezzins, and other employees of the Muslim faith 391 Service employees nec 399 Other employees nec 410 Wholesale or discount vendors of agricultural, forest, fishing product 411 Wholesale or discount vendors of capital and intermediate pieces 412 Wholesale or discount vendors in drugstores, hardware stores, and building materials 413 Wholesale or discount vendors of home and office equipment 414 Wholesale or discount vendors of textiles, leather and footwear 415 Wholesale or discount vendors of chemical products, specialty chemicals, hydrocarbons, and minerals 416 Wholesale or discount vendors of stationary products, books, newspapers and periodicals 417 Wholesale or discount vendors of various recreational, hobby, and personal items 418 Wholesale or discount vendors nec 421 Grocers 422 Retailer for food products 423 Retailers for agricultural, forest, and sea products 424 Retailers for combustibles 425 Retailer for textiles, footwear and leather goods 426 Retailer for furniture and décor products 427 Retailer for household appliances and goods 428 Retailer in drugstores, and for hardware and building materials 429 Merchants, traders, financiers nec 431 Retailer for cosmetic, perfume, beauty, entertainment products and similar 432 Retailer for intermediate goods (equipment and supplies), vehicles, motorcycles and bicycles 433 Retailer for paper, book, newspapers, periodicals and similar 434 Retailer for watches, jewelry, various recreational, hobby, and personal items 435 Itinerant souk retailers of various products 436 Retailers for artisan goods, bazar products and similar crafts 439 Retailers nec 442 Real estate agents 443 Stockbrokers, dealers and stock commodity agents 449 Traders and financial agents nec 499 Merchants, traders, financiers nec 511 Operators specialized in agriculture 512 Operators specializing in breeding, poultry, apiculture and sericulture 513 Farming operators in related crop and livestock (various fellahs) 519 Farmers nec 521 Fishing operators 522 Traditional independent fishermen 529 Fishermen and related professionals nec 531 Loggers for charcoat, wood joinery and related 532 Independent loggers 539 Foresters, hunters and related operators nec 599 Farmers, fishers, forestry persons, hunters, and related workers 601 Miners, skilled workers and laborer in mineral processing and similar 602 Carriers, skilled workers and laborer in stone and marble treatment, stone polishers, engravers, tracers, and similar 603 Diggers, well drillers, and similar 611 Skilled workers and laborer in large construction works and similar 612 Skilled workers and laborer in secondary construction works 613 Daubers, building painters, building plasterers, paperhangers, and other craftsmen and skilled workers 619 Craftsmen and skilled workers in construction and public works nec 621 Moulders, welders, and sheet metal workers 622 Galvanizers, chromers, silver platers, and similar 623 Blacksmiths and toolmakers 629 Craftsmen and skilled workers in metal production and treatment nec 631 Repair and maintenance mechanics for machinery and vehicles 632 Electricity and electronics assembly, repair and installation craftsmen and skilled workers 639 Craftsmen and skilled workers in mechanics, electricity and electronics assembly and installation nec 641 Precision mechanics for metal, watch, clock, jewelry and similar materials 642 Glass makers, potters and related workers 643 Craftsmen and skilled workers in printing 651 Craftsmen and skilled workers for wood and paper manufacturing preparation 652 Carpenters and manufacturers of wooden objects 653 Manufacturers of alfa, palms, reeds, cork objects and similar 654 Manufacturers of paper and cardboard products 661 Artisans of food, beverages and tobacco 669 Food, beverage, tobacco craftsmen nec 671 Artisans and skilled workers in catering and hospitality 672 Launderers, cleaners, degreasers, ironers, artisans and skilled workers in dyeing, and similar 673 Bauty specialists and related workers 674 Practitioners of traditional medicine 675 Other craft and skilled service professions nec 679 Craftsmen and skilled workers in services nec 681 Craftmen and skilled textile workers 682 Tailors, dressmakers, sewers, upholsterers and related workers 683 Wool shearer, skinners, tanners, hides processors and similar 684 Clothing, leather goods, and footwear manufacturers 689 Craftsmen and skilled workers in textile products, leather, shoes, and clothing nec 699 Other craftsmen and skilled trades laborers nec 711 Skilled or specialized workers 712 Skilled or specialized workers in fishing; deck and mechanic sailors 719 Skilled workers for agriculture, forestry, fishing, and vocational school raduates (qualification and specialization level) nec 721 Crop workers and laborers 722 Workers and laborers in livestock raising: sheep, cattle, goats 723 Agricultural workers and laborers in various combinations of crops and livestock 729 Workers and agricultural laborers nec 731 Fishermen and related 739 Workers and fishing laborers nec 741 Forestry worker 749 Workers and forestry, hunting laborers nec 799 Workers and agricultural, fishing laborers (including skilled workers) 811 Plant operators of mining and mineral extraction 812 Operators in metal facilities 813 Plant operators for glassware, ceramic and related machines 814 Plant operators for wood transformation or paper manufacturing 815 Plant operators for chemical processing, power generation, water processing similar 819 Fixed plant and equipment operators similar nec 821 Machine operators for metals and mineral production 822 Machine operators for pharmaceutical, cosmetic and chemical product manufacturing 823 Machine operators for rubber and plastic product manufacturing 825 Machine operators for printing and stationery 826 Textile-, fur- and leather-products machine operators 827 Machine operators for food and related products manufacturing 828 Mechanical , electrical-equipment, electronic-equipment, metal, rubber and plastic products assembler 829 Other machine operators and assemblers nec 831 Railway maneuvering workers 832 Motor-cycle driver 833 Agricultural machinery, earthmoving, cranes and maintenance mobile machinery drivers 834 Drivers of motorized vehicles 839 Heavy machinery and vehicle operators, and similar nec 899 Plant and machinery operators and assembly workers nec 911 Street vendors 912 Business laborers 913 Service laborers 914 Laborers in shows (Halki hosts) 919 Trade and services laborers nec 921 Artisans for metal production and processing 922 Laborers in handicrafted mechanics, printing and similar 923 Laborers in handcrafted ceramics, glass, baskets, brushes and similar 924 Laborers in handcrafted carving, carpenting, wood preparation and similar 925 Laborers in handcrafted food and beverages 926 Laborers in the hospitality, catering, hairdressing and beauty industry 927 Laborers in handcrafted clothing, leather, footwork and textile products 929 Crafts laborers nec 931 Laborers and maintenance workers for mines 939 Mining handlers and laborers nec 941 Laborers and maintenance workers for construction and maintenance of roads, dams, ports, airports and similar 942 Laborers and maintenance workers for building construction 949 Construction handlers and laborers nec 951 Laborers in the food industry 952 Laborers in the textile and leather industry 953 Laborers in other manufacturing industries nec 961 Laborers and maintenance workers for ports and sea transportation 962 Laborers and maintenance workers for land and air transportation 963 Animal-driven vehicle drivers 971 Occasional laborers for national projects 979 Casual laborers in the national promotion nec 991 Other laborers in elementary occupations nec 996 Non-farm laborers, freight handlers, and small business workers nec 997 Seeking employment for the first time 998 Unknown 999 NIU (not in universe) This variable indicates a person's occupation (3-digit). IPUMS Industry (2 digits) <svar a="all" v="MA94A431 MA94A432 MA94A433">Q20. Primary activity of the establishment or professional premises where the person is working or worked<br /><div class="i1">This question was coded at a later stage (please see activity code manual). It concerns active occupied and active not working but had held a job in the past.<br />____</div><br /></svar> Morocco 1994: Persons who are employed and unemployed[discrepancies: type I trace; type II 0.1%] 001 Agriculture, hunting, similar services 002 Forestry, logging, similar services 005 Fishing, aquaculture 010 Coal, lignite, and peat extraction 011 Oil extraction, similar services 013 Metallic mineral extraction, exploitation and enrichment 014 Other extraction industries 015 Food industry 016 Tobacco industry 017 Textile industry 018 Clothing and fur industry 019 Leather and shoes industry 020 Woodwork and wood articles industry 021 Paper and carton industry 022 Publishing, press, reproduction 023 Coking, refineries, nuclear industry 024 Chemical industry 025 Plastic and rubber industry 026 Production of other non-metallic minerals 027 Metallurgy 028 Metal work 029 Machinery and equipment construction 030 Office machinery and informatic materials construction 031 Machinery and electrical equipment construction 032 Radio, television equipment construction 033 Medical, optical, precision equipment construction 034 Automobile industry 035 Other transportation materials construction 036 Furniture construction, various 040 Electricity, gas, heat production and distribution 041 Collection, processing and distribution of water 045 Building and public works 050 Automobile commerce and repair 051 Wholesale and intermediate trade 052 Retail trade and repair of household goods 055 Hotels and restaurants 060 Ground transportation 061 Water transportation 062 Air transportation 063 Auxiliary transportation services 064 Mail and telecommunications 065 Financial intermediation 066 Insurance 070 Real estate 071 Rental without operator 072 Information technology activities 073 Research and development 074 Other business services 075 Public administration 080 Education 085 Health and social work 090 Sewage and waste management 091 Association activities 092 Recreation, cultural and sports activities 093 Personal services 095 Domestic services 096 Extra-territorial activities 097 Other industry, response suppressed 098 Persons seeking their first job 998 Unknown 999 NIU (not in universe) This variable indicates a person's industry of work (2 digits). IPUMS Work status <svar a="all" v="MA94A434">Q21. Status in primary profession:<br /><div class="i1">[] 1 Employer<br />Employs at least one salaried person<br /><br />[] 2 Self-employed with a premise<br />Works by himself and does not employ any salaried person, although he/she may seek familial aids. This individual works at a specific premise different from his own house. 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 Self-employed work from his home<br />Works for his own and does not employ any salaried person on a permanent basis, although he/she may seek familial aids or apprentice. This individual works at his own home.<br /><br />[] 4 Self-employed travelling or without premise<br />Works by himself and does not employ any salaried person, although he/she may seek familial aids. This individual does not have a specific premise.<br /><br />[] 5 Salaried employee<br />Works for a salary, in-kind payments, 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<br />Works for his family members with no salary and lives with them.<br /><br />[] 7 Trainee<br />Works for an employer or is self-employed to learn some skills. He/she may receive some salary.</div><br /></svar> Morocco 1994: Persons who are employed or unemployed with previous work experience [discrepancies: type I trace; type II .1%] 1 Employer 2 Self-employed, with premise 3 Self-employed, works from home 4 Self-employed, without premise 5 Salaried employee 6 Unpaid family worker 7 Apprentice 8 Unknown 9 NIU (not in universe) This variable indicates a person's work status. IPUMS Dialect (local language) Morocco 1994: All persons 1 Tachalhit 2 Tamazight 3 Tarifite 4 Arabic 9 Unknown This variable indicates a person's dialect (local language). IPUMS