DDI_ITA_2001_PHC_v01_M_v7.5_A_IPUMS The 14th General Population Census and General Housing Census 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. The 14th General Population Census and General Housing Census 2001 IPUMS Harmonized Subset IPUMS PHC ITA_2001_PHC_v01_M_v7.5_A_IPUMS National Institute of Statistics IPUMS (c) Copyright 2001, National Institute of Statistics and Minnesota Population Center MetadataEditor National Institute of Statistics 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. Demographic Variables -- PERSON Geography: Global Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Work Variables -- PERSON Technical Household 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 Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Migration: Global Variables -- PERSON Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Household Economic Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Other Household Variables -- HOUSEHOLD Geography: F-N Variables -- HOUSEHOLD Technical Person Variables -- PERSON Other Person Variables -- PERSON Demographic Variables -- PERSON Nativity and Birthplace Variables -- PERSON Migration: Global Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Other Person Variables -- PERSON Work Variables -- PERSON Italy Region Persons, households, and dwellings Age is grouped into categories UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: Not specified - Households: A group of people, bound by marriage, kinship, affinity, adoption, guardianship or emotional ties, who are partners and live in the same Municipality. - Group quarters: Not specified All population who reside in Italy and all persons who do not live in Italy but are present at the time of the census Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Italy 2001 Note: Age is grouped into categories MICRODATA SOURCE: National Institute of Statistics SAMPLE SIZE (person records): 2990739. SAMPLE DESIGN: Systematic sample of every 20th dwelling. Face-to-face [f2f] A single booklet of Household Form with five sections: 1) List A: household members, 2) List B: individuals who do not usually reside in the accommodation, 3) Section I, information on the dwelling (for all persons in List A and List B), 4) Section II, information on the individuals who usually reside in the accomodation (persons on List A), and 5) Section III, information on individuals who do not usually reside in the dwelling (persons on List A). Section I to III are de-identified with names removed. de jure, CENSUS DAY: 2001-10-21 00:00:00 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. National Institute of Statistics 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: Italy, National Institute of Statistics. The 14th General Population Census and General Housing Census The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. ITA2001_PHC-H-H Household records 1 80 ITA2001_PHC-P-H Person records 2990739 122 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 Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. 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 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. IPUMS Nomenclature of Territorial Units for Statistics 1, Europe 0101 AT1 / Ostösterreich 0102 AT2 / Südösterreich 0103 AT3 / Westösterreich 0601 DE1 / Baden-Württemberg 0602 DE2 / Bayern 0603 DE3 / Berlin 0604 DE4 / Brandenburg 0605 DE5 / Bremen 0606 DE6 / Hamburg 0607 DE7 / Hessen 0608 DE8 / Mecklenburg-Vorpommern 0609 DE9 / Niedersachsen 0610 DEA / Nordrhein-Westfalen 0611 DEB / Rheinland-Pfalz 0612 DEC / Saarland 0613 DED / Sachsen 0614 DEE / Sachsen-Anhalt 0615 DEF / Schleswig-Holstein 0616 DEG / Thüringen 0901 ES1 / Noroeste 0902 ES2 / Noreste 0903 ES3 / Comunidad de Madrid 0904 ES4 / Centro (E) 0905 ES5 / Este 0906 ES6 / Sur 0907 ES7 / Canarias 0909 ES / Unknown 1101 FR1 / Île de France 1102 FR2 / Bassin Parisien 1103 FR3 / Nord - Pas-de-Calais 1104 FR4 / Est 1105 FR5 / Ouest 1106 FR6 / Sud-Ouest 1107 FR7 / Centre-Est 1108 FR8 / Méditerranée 1109 FR9 / Département d’Outre-Mer 1199 FR99 / Unknown 1201 EL1 / Voreia Ellada 1202 EL2 / Kentriki Ellada 1203 EL3 / Attiki 1204 EL4 / Nisia Aigaiou, Kriti 1400 IE0 / Republic of Ireland 1503 ITC / Nord-Ovest 1506 ITF / Sud 1507 ITG / Isole 1508 ITH / Nord-Est 1509 ITI / Centro 2101 PL1 / Centralny 2102 PL2 / Południowy 2103 PL3 / Wschodni 2104 PL4 / Północno-zachodni 2105 PL5 / Południowo-zachodni 2106 PL6 / Północny 2201 PT1 / Continente 2202 PT2 / Região Autónoma dos Açores 2203 PT3 / Região Autónoma da Madeira 2301 RO1 / Macroregiunea Unu 2302 RO2 / Macroregiunea Doi 2303 RO3 / Macroregiunea Trei 2304 RO4 / Macroregiunea Patru 2501 SI0 / Slovenia 2600 SK0 / Slovensko 2701 UKC / North East (England) 2702 UKD / North West (England) 2703 UKE / Yorkshire and the Humber (England) 2704 UKF / East Midlands (England) 2705 UKG / West Midlands (England) 2706 UKH / East of England (England) 2707 UKI / LONDON (England) 2708 UKJ / South East (England) 2709 UKK / South West (England) 2710 UKL / WALES 2711 UKM / SCOTLAND 2712 UKN / NORTHERN IRELAND 3400 CH0/Switzerland 3901 TR1 / Istanbul 3902 TR2 / Bati Marmara 3903 TR3 / Ege 3904 TR4 / Dogu Marmara 3905 TR5 / Bati Anadolu 3906 TR6 / Akdeniz 3907 TR7 / Orta Anadolu 3908 TR8 / Bati Karadeniz 3909 TR9 / Dogu Karadeniz 3911 TRA / Kuzeydogu Anadolu 3912 TRB / Ortadogu Anadolu 3913 TRC / Güneydogu Anadolu 9999 UNKNOWN ENUTS1 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS1 is the first level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. ENUTS1 corresponds to the 2010 version of NUTS1 released by Eurostat. IPUMS has added ENUTS1_2013 for the more recent samples. ENUTS1_2013 is an amendment to the annexes to the ENUTS1 classification. The last 2-digits of the ENUTS1 variable provide the NUTS1 code. The labels include the standard code for the NUTS1 system and the name of the NUTS1 region, separated by a slash. Smaller sub-national units are available for most countries in ENUTS2 and ENUTS3. The full set of geography variables for the countries 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 Nomenclature of Territorial Units for Statistics 2, Europe 0111 AT11 / Burgenland 0112 AT12 / Niederösterreich 0113 AT13 / Wien 0121 AT21 / Kärnten 0122 AT22 / Steiermark 0131 AT31 / Oberösterreich 0132 AT32 / Salzburg 0133 AT33 / Tirol 0134 AT34 / Vorarlberg 0911 ES11 / Galicia 0912 ES12 / Principado de Asturias 0913 ES13 / Cantabria 0921 ES21 / País Vasco 0922 ES22 / Comunidad Foral de Navarra 0923 ES23 / La Rioja 0924 ES24 / Aragón 0930 ES30 / Comunidad de Madrid 0941 ES41 / Castilla y León 0942 ES42 / Castilla-La Mancha 0943 ES43 / Extremadura 0951 ES51 / Cataluña 0952 ES52 / Comunidad Valenciana 0953 ES53 / Illes Balears 0961 ES61 / Andalucía 0962 ES62 / Región de Murcia 0963 ES63 / Ciudad Autónoma de Ceuta 0964 ES64 / Ciudad Autónoma de Melilla 0970 ES70 / Canarias 0999 ES / Unknown 1110 FR10 / Île de France 1121 FR21 / Champagne-Ardenne 1122 FR22 / Picardie 1123 FR23 / Haute-Normandie 1124 FR24 / Centre 1125 FR25 / Basse-Normandie 1126 FR26 / Bourgogne 1130 FR30 / Nord-Pas-de-Calais 1141 FR41 / Lorraine 1142 FR42 / Alsace 1143 FR43 / Franche-Comté 1151 FR51 / Pays de la Loire 1152 FR52 / Bretagne 1153 FR53 / Poitou-Charentes 1161 FR61 / Aquitaine 1162 FR62 / Midi-Pyrénées 1163 FR63 / Limousin 1171 FR71 / Rhône-Alpes 1172 FR72 / Auvergne 1181 FR81 / Lanquedoc-Roussillon 1182 FR82 / Provence-Alpes-Côte d'Azur 1183 FR83 / Corse 1191 FR91 / Guadeloupe 1192 FR92 / Martinique 1193 FR93 / Guyane 1194 FR94 / Réunion 1199 FR99 / Unknown 1211 EL11 / Anatoliki Makedonia, Thraki 1212 EL12 / Kentriki Makedonia 1213 EL13 / Dytiki Makedonia 1214 EL14 / Thessalia 1221 EL21 / Ipeiros 1222 EL22 / Ionia Nisia 1223 EL23 / Dytiki Ellada 1224 EL24 / Sterea Ellada 1225 EL25 / Peloponnisos 1230 EL30 / Attiki 1241 EL41 / Voreio Aigaio 1242 EL42 / Notio Aigaio 1243 EL43 / Kriti 1401 IE01 / Border, Midland and Western 1402 IE02 / Southern and Eastern 1531 ITC1 / Piemonte + ITC2 / Valle d'Aosta 1533 ITC3 / Liguria 1534 ITC4 /Lombardia 1561 ITF1 / Abruzzo 1562 ITF2 / Molise 1563 ITF3 / Campania 1564 ITF4 / Puglia 1565 ITF5 / Basilicata 1566 ITF6 / Calabria 1571 ITG1 / Sicilia 1572 ITG2 / Sardegna 1581 ITH1 / Bolzano-Bozen + ITH2 / Trento 1583 ITH3 / Veneto 1584 ITH4 / Friuli-Venezia Giulia 1585 ITH5 / Emilia-Romagna 1591 ITI1 / Toscana 1592 ITI2 / Umbria 1593 ITI3 / Marche 1594 ITI4 / Lazio 2111 PL11 / Łódzkie 2112 PL12 / Mazowieckie 2121 PL21 / Małopolskie 2122 PL22 / Śląskie 2131 PL31 / Lubelskie 2132 PL32 / Podkarpackie 2133 PL33 / Świętokrzyskie 2134 PL34 / Podlaskie 2141 PL41 / Wielkopolskie 2142 PL42 / Zachodniopomorskie 2143 PL43 / Lubuskie 2151 PL51 / Dolnośląskie 2152 PL52 / Opolskie 2161 PL61 / Kujawsko-Pomorskie 2162 PL62 / Warmińsko-Mazurskie 2163 PL63 / Pomorskie 2211 PT11 / Norte 2215 PT15 / Algarve 2216 PT16 / Centro (P) 2217 PT17 / Lisboa 2218 PT18 / Alentejo 2220 PT20 / Região Autónoma dos Açores 2230 PT30 / Região Autónoma da Madeira 2311 RO11 / Nord-Vest 2312 RO12 / Centru 2321 RO21 / Nord-Est 2322 RO22 / Sud-Est 2331 RO31 / Sud - Muntenia 2332 RO32 / Bucuresti - Ilfov 2341 RO41 / Sud-Vest Oltenia 2342 RO42 / Vest 2501 SI01 / Vzhodna Slovenija 2502 SI02 / Zahodna Slovenija 2599 SI / Unknown 2601 SK01 / Bratislavský kraj 2602 SK02 / Západné Slovensko 2603 SK03 / Stredné Slovensko 2604 SK04 / Východné Slovensko 3401 CH01 / Région Lémanique 3402 CH02 / Espace Mittelland 3403 CH03 / Nordwestschweiz 3404 CH04 / Zurich 3405 CH05 / Ostschweiz 3406 CH06 / Zentralschweiz 3407 CH07 / Ticino 3910 TR10 / Istanbul 3921 TR21 / Tekirdag, Edirne, Kirklareli 3922 TR22 / Balikesir, Çanakkale 3931 TR31 / Izmir 3932 TR32 / Aydin, Denizli, Mugla 3933 TR33 / Manisa, Afyonkarahisar, Kütahya, Usak 3941 TR41 / Bursa, Eskisehir, Bilecik 3942 TR42 / Kocaeli, Sakarya, Düzce, Bolu, Yalova 3951 TR51 / Ankara 3952 TR52 / Konya, Karaman 3961 TR61 / Antalya, Isparta, Burdur 3962 TR62 / Adana, Mersin 3963 TR63 / Hatay, Kahramanmaras, Osmaniye 3971 TR71 / Kirikkale, Aksaray, Nigde, Nevsehir, Kirsehir 3972 TR72 / Kayseri, Sivas, Yozgat 3981 TR81 / Zonguldak, Karabük, Bartin 3982 TR82 / Kastamonu, Çankiri, Sinop 3983 TR83 / Samsun, Tokat, Çorum, Amasya 3990 TR90 / Trabzon 3991 TRA1 / Erzurum, Erzincan, Bayburt 3992 TRA2 / Agri, Kars, Igdir, Ardahan 3993 TRB1 / Malatya, Elazig, Bingöl, Tunceli 3994 TRB2 / Van, Mus, Bitlis, Hakkari 3995 TRC1 / Gaziantep, Adiyaman, Kilis 3996 TRC2 / Sanliurfa, Diyarbakir 3997 TRC3 / Mardin, Batman, Sirnak, Siirt ENUTS2 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS2 is the second level territorial units within countries. NUTS is a standard administrative division of the European Union, and was developed by the EU. The European Free Trade Association extends the NUTS system to several additional countries outside of the EU, and they are also incorporated into this variable. ENUTS2 corresponds to the 2010 version of NUTS2 released by Eurostat. The code labels include the standard code for the NUTS2 system and the name of the NUTS2 region, separated by a slash. The full set of geography variables for the countries 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 Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit string variable listing the population density in persons per square kilometer. IPUMS Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit string variable listing the area in square kilometers. IPUMS Italy, Region 2001 - 2018 [Level 1; consistent boundaries, GIS] 380001 Piemonte, Valle d'Aosta 380003 Lombardia 380004 Trentino Alto Adige 380005 Veneto 380006 Friuli Venezia Giulia 380007 Liguria 380008 Emilia Romagna, Marche 380009 Toscana 380010 Umbria 380012 Lazio 380013 Abruzzo 380014 Molise 380015 Campania 380016 Puglia 380017 Basilicata 380018 Calabria 380019 Sicilia 380020 Sardegna GEO1_IT identifies the household's region (regione) within Italy in all sample years. Regions are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_IT can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Italy 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 Italy, Region 2001 [Level 1, GIS] 001 Piemonte-Valle d'Aosta 003 Lombardia 004 Trentino-Alto Adige 005 Veneto 006 Friuli-Venezia Giulia 007 Liguria 008 Emilia-Romagna 009 Toscana 010 Umbria 011 Marche 012 Lazio 013 Abruzzo 014 Molise 015 Campania 016 Puglia 017 Basilicata 018 Calabria 019 Sicilia 020 Sardegna GEO1_IT2001 identifies the household's region (regione) within Italy in 2001. Regions are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_IT2001 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Italy 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 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 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 Fuel for heating 00 NIU (not in universe) 01 None 02 Electricity 03 Fuel oil, kerosene, other liquid fuels 04 Kerosene/paraffin 05 Diesel 06 Gas 07 Bottled gas, in tank, liquified 08 Solid fuel 09 Coal 10 Wood 11 Wood or coal 12 Solar 13 Animal dung 14 Charcoal 15 Biofuel 16 Other 17 Multiple sources 99 Unknown FUELHEAT indicates the main fuel source for heating the household. IPUMS Telephone availability NIU (not in universe) 1 No 2 Yes 9 Unknown/missing PHONE indicates the availability of a telephone in the dwelling. IPUMS Hot water heater NIU (not in universe) 1 No 2 Yes 9 Unknown/missing HOTWATER indicates whether the housing unit had a water heater. 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 Stories in structure 00 NIU (not in universe) 01 1 story 02 2 stories 03 3 stories 04 4 stories 05 5 stories 06 6 stories 07 7 stories 08 8 stories 09 9 stories 10 10 stories 11 11 stories 12 12 stories 13 13 stories 14 14 stories 15 15 stories 16 16 stories 17 17 stories 18 18 stories 19 19 stories 20 20 stories 21 21 stories 22 22 stories 23 23 stories 24 24 stories 25 25+ stories 99 Unknown STORIES indicates the number of floors or levels in the building containing the responding housing unit. IPUMS Living area in square meters LIVEAREA describes the total living area in the dwelling inhabited by the household. LIVEAREA is a 3-digit numeric variable. Codes000 = NIU (not in universe) 999 = Unknown Top codes:Unless otherwise specified: 998+ Austria 1991-2001: 150+ Belarus 1999: 201+ Belarus 2009: 250+ Germany 1987: 361+ Hungary 2001: 260+ Hungary 2011: 301+ Iran 2006: 501+ Italy 2001: 150+ Italy 2011: 145+ Laos 2005: 200+ Philippines 1990-2010: 200+ Poland 2002: 200+ Romania 2002: 221+ Romania 2011: 500+ Slovenia 2002: 101+ Spain 1991: 181+ Spain 2001-2011: 900+ Switzerland 1980-1990: 400+ Switzerland 2000: 500+ 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 Italy 2001: All records This variable indicates the dwelling number. This is a 7-digit numeric variable with 0 implied decimal places IPUMS Number of persons in household Italy 2001: All records 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 This variable indicates the number of persons in household. IPUMS Geographic area of residence <svar a="all" v="IT01A016 IT01A017"><span class="em">Information on the Holder of the Household Form</span><br />____ Surname<br />____ Name<br />____ Address<br />____ Building ____ Floor<br />____ Telephone<br /></svar> Italy 2001: All households 1 Northwest (Piedmont, Aosta Valley, Liguria, Lombardy) 2 Northeast (Trentino-Alto-Adige, Veneto, Friuli-Venezia Giulia, Emilia-Romagna) 3 Central (Tuscany, Umbria, Marche, Lazio) 4 South (Abruzzo, Molise, Campania, Basilicata, Calabria) 5 Island (Sicily, Sardinia) This variable indicates the geographic area of residence. IPUMS Person number Italy 2001: Private 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 99 NIU (not in universe -- collective) This variable indicates the person number. IPUMS Ownership and use of the dwelling <svar a="all" v="IT01A023"><span class="em">1.1 Indicate whether the dwelling is</span><br /><div class="i1">[] 1 Property (fully or partially), life tenancy or redemption, of at least one of the persons that live therein<br />[] 2 Under rental to one or more of the persons residing therein<br />[] 3 Inhabited free of charge (on free loan, etc.) in exchange for services (janitor, etc.) by one or more of the persons residing therein</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Property (fully or partially), life tenancy or redemption, of at least one of the persons that live therein 2 Under rental to one or more of the persons residing therein 3 Inhabited free of charge (on free loan, etc.) in exchange for services (janitor, etc.) by one or more of the persons residing therein 8 Unknown 9 NIU (not in universe) This variable indicates the ownership status of the dwelling. IPUMS Owner of the dwelling <svar a="all" v="IT01A024"><span class="em">1.2 Indicate whether the owner of the dwelling is</span><br /><div class="i1">[] 1 A physical person (or more than one person in co-property<br />[] 2 A firm or company (insurance, bank, real-estate, building society, commercial, etc.)<br />[] 3 A residential building cooperative<br />[] 4 The state, region, province<br />[] 5 The municipality<br />[] 6 A Social Security Organization (INPS, INPDAP, etc.)<br />[] 7 An Independent Institute for Settlement Homes (IACP) or Territorial Enterprise (ATER) or similar<br />[] 8 Other</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] NIU (not in universe) 1 A physical person (or more than one person in co-property) 2 A firm or company (insurance, bank, real-estate, building society, commercial, etc.) 3 A residential building cooperative 4 The state, region, province 5 The municipality 6 A Social Security Organization (INPS, INPDAP, etc.) 7 An Independent Institute for Settlement Homes (IACP) or Territorial Enterprise (ATER) or similar 8 Other 9 Unknown This variable indicates the owner of the dwelling. IPUMS Type of accomodation Italy 2001: Private households [discrepancies: not verifiable] 1 Dwelling 2 Other type of lodging 8 Unknown 9 NIU (not in universe) This variable indicates the type of accommodation. IPUMS Total number of rooms <svar a="all" v="IT01A026"><span class="em">2.1 Indicate the total number of rooms (excluding bathrooms, kitchens, service areas and accessories)</span><br /><div class="i1">A room is a space that receives direct external light, the size of which makes it possible to include a bed and still have sufficient space to move around in.<br />____</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 1 2 2 3 3 4 4 or more 8 Unknown 9 NIU (not in universe) This variable indicates the total number of rooms in the dwelling. It excludes bathrooms, kitchens, service areas and accessories. IPUMS Number of rooms for professional use <svar a="all" v="IT01A027"><span class="em">2.2 Indicate the number of rooms for professional use (offices, professional studios, laboratories and others) (amongst rooms identified in question 2.1)</span><br /><div class="i1">[] 0<br />[] 1<br />[] 2<br />[] 3<br /><br />if more than 3 specify the number ____</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 1 2 2 3 3 4 4 or more 8 Unknown 9 NIU (not in universe) This variable indicates the number of rooms for professional use like offices, professional studies and laboratories. IPUMS Number of kitchens <svar a="all" v="IT01A028 IT01A029 IT01A030"><span class="em">2.3 Indicate if the dwelling has (<span class="ital">answer all three questions</span>)</span><br /><div class="i1">a) A kitchen (with room characteristics) - a room designed and equipped to prepare meals that has the characteristics of a room</div><br /><div class="i2">[] 0<br />[] 1<br />[] 2 or more</div><br /><div class="i1">b) Kitchenette - a room designed and equipped to prepare meals that does not have the characteristics of a room</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /><div class="i1">c) Kitchen corner in a room with multiple functions a space designed and equipped to prepare meals inserted in a room with multiple functions (living room, sitting room, etc.)</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 1 2 2 or more 8 Unknown 9 NIU (not in universe) This variable indicates the number of kitchens in the dwelling. IPUMS Kitchenette <svar a="all" v="IT01A028 IT01A029 IT01A030"><span class="em">2.3 Indicate if the dwelling has (<span class="ital">answer all three questions</span>)</span><br /><div class="i1">a) A kitchen (with room characteristics) - a room designed and equipped to prepare meals that has the characteristics of a room</div><br /><div class="i2">[] 0<br />[] 1<br />[] 2 or more</div><br /><div class="i1">b) Kitchenette - a room designed and equipped to prepare meals that does not have the characteristics of a room</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /><div class="i1">c) Kitchen corner in a room with multiple functions a space designed and equipped to prepare meals inserted in a room with multiple functions (living room, sitting room, etc.)</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether there is a kitchenette in the dwelling. IPUMS Kitchen corner in a room with multiple functions <svar a="all" v="IT01A028 IT01A029 IT01A030"><span class="em">2.3 Indicate if the dwelling has (<span class="ital">answer all three questions</span>)</span><br /><div class="i1">a) A kitchen (with room characteristics) - a room designed and equipped to prepare meals that has the characteristics of a room</div><br /><div class="i2">[] 0<br />[] 1<br />[] 2 or more</div><br /><div class="i1">b) Kitchenette - a room designed and equipped to prepare meals that does not have the characteristics of a room</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /><div class="i1">c) Kitchen corner in a room with multiple functions a space designed and equipped to prepare meals inserted in a room with multiple functions (living room, sitting room, etc.)</div><br /><div class="i2">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether there is a kitchen corner in a room with multiple functions in the dwelling. IPUMS Number of levels in the dwelling <svar a="all" v="IT01A031"><span class="em">2.4 Indicate the number of levels in the dwelling (excluding attic, cellar, garage and equivalent)</span><br /><div class="i1">[] 0<br />[] 1<br />[] 2<br />[] 3 or more</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 1 2 2 3 3 4 4+ 8 Unknown 9 NIU (not in universe) This variable indicates the number of levels in the dwelling. IPUMS Surface area of the dwelling (sq meters) <svar a="all" v="IT01A032"><span class="em">2.5 Indicate the surface area of the dwelling</span><br /><div class="i1">Calculate the floor surface including rooms, bathrooms, kitchens, service areas, and excluding accessories<br /><br />____square meters (whole number - without decimals)</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 010 10 020 20 030 30 040 40 050 50 060 60 070 70 080 80 090 90 100 100 110 110 120 120 130 130 140 140 150 150 square meters or more 998 Unknown 999 NIU (not in universe) This variable indicates the surface area of the dwelling in square meters. IPUMS Potable water from an aqueduct <svar a="all" v="IT01A033 IT01A034 IT01A035 IT01A036"><span class="em">3.1 Indicate if the dwelling has (more than one answer is possible)</span><br /><div class="i1">[] 1 Potable water from an aqueduct<br />[] 2 Potable water from a well<br />[] 3 Potable water from another supply source<br />[] 4 Non-potable water</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 No 2 Yes 8 Unknown 9 NIU (not in universe) This variable indicates whether the dwelling has potable water from an aqueduct. IPUMS Potable water from a well <svar a="all" v="IT01A033 IT01A034 IT01A035 IT01A036"><span class="em">3.1 Indicate if the dwelling has (more than one answer is possible)</span><br /><div class="i1">[] 1 Potable water from an aqueduct<br />[] 2 Potable water from a well<br />[] 3 Potable water from another supply source<br />[] 4 Non-potable water</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 No 2 Yes 8 Unknown 9 NIU (not in universe) This variable indicates whether the dwelling has potable water from a well. IPUMS Potable water from another supply source <svar a="all" v="IT01A033 IT01A034 IT01A035 IT01A036"><span class="em">3.1 Indicate if the dwelling has (more than one answer is possible)</span><br /><div class="i1">[] 1 Potable water from an aqueduct<br />[] 2 Potable water from a well<br />[] 3 Potable water from another supply source<br />[] 4 Non-potable water</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 No 2 Yes 8 Unknown 9 NIU (not in universe) This variable indicates whether the dwelling has potable water from another supply source. IPUMS Non-potable water in the dwelling <svar a="all" v="IT01A033 IT01A034 IT01A035 IT01A036"><span class="em">3.1 Indicate if the dwelling has (more than one answer is possible)</span><br /><div class="i1">[] 1 Potable water from an aqueduct<br />[] 2 Potable water from a well<br />[] 3 Potable water from another supply source<br />[] 4 Non-potable water</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 No 2 Yes 8 Unknown 9 NIU (not in universe) This variable indicates whether there is non-potable water in the dwelling. IPUMS Number of shower and bathtub systems <svar a="all" v="IT01A037"><span class="em">3.2 Indicate the number of shower and bathtub systems in the dwelling</span><br /><div class="i1">[] 0<br />[] 1<br />[] 2<br />[] 3<br />If more than 3 specify the number ____</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 1 2 2 3 3 4 4 or more 8 Unknown 9 NIU (not in universe) This variable indicates the number of shower and bathtub systems in the dwelling. IPUMS Number of toilets (WC) in the dwelling <svar a="all" v="IT01A038"><span class="em">3.3 Indicate the number of toilettes (WC) in the dwelling</span><br /><div class="i1">[] 0<br />[] 1<br />[] 2<br />[] 3<br />If more than 3 specify the number ____</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 1 2 2 3 3 4 4 or more 8 Unknown 9 NIU (not in universe) This variable indicates the number of toilettes (WC) in the dwelling. IPUMS Hot running water in the bathroom and/or kitchen in the dwelling <svar a="all" v="IT01A039"><span class="em">3.4 Indicate whether the dwelling has hot running water in the bathroom and/or kitchen</span><br /><div class="i1">[] 1 Yes<br />[] 2 No [skip to point 4]</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether there is hot running water in the bathroom and/or kitchen in the dwelling. IPUMS Hot water produced by the same system used to heat the dwelling <svar a="all" v="IT01A040"><span class="em">3.5 Indicate if the hot water is produced by the same system used to heat the dwelling</span><br /><div class="i1">[] 1 Yes [skip to point 4]<br />[] 2 No</div><br /></svar> Italy 2001: Private households, persons living in dwelling with hot water [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether the hot water is produced by the same system used to heat the dwelling. IPUMS Methane, natural gas used to heat water <svar a="all" v="IT01A041 IT01A042 IT01A043 IT01A044"><span class="em">3.6 Indicate the type of fuel or power used to heat water (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Electricity<br />[] 3 Solar energy<br />[] 4 Other</div><br /></svar> Italy 2001: Private households, persons living in dwelling with hot water produced by system different from the one used to heat the dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether methane, natural gas is used to heat water. IPUMS Electricity used to heat water <svar a="all" v="IT01A041 IT01A042 IT01A043 IT01A044"><span class="em">3.6 Indicate the type of fuel or power used to heat water (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Electricity<br />[] 3 Solar energy<br />[] 4 Other</div><br /></svar> Italy 2001: Private households, persons living in dwelling with hot water produced by system different from the one used to heat the dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether electricity is used to heat water. IPUMS Solar energy used to heat water <svar a="all" v="IT01A041 IT01A042 IT01A043 IT01A044"><span class="em">3.6 Indicate the type of fuel or power used to heat water (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Electricity<br />[] 3 Solar energy<br />[] 4 Other</div><br /></svar> Italy 2001: Private households, persons living in dwelling with hot water produced by system different from the one used to heat the dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether solar energy is used to heat water. IPUMS Other used to heat water <svar a="all" v="IT01A041 IT01A042 IT01A043 IT01A044"><span class="em">3.6 Indicate the type of fuel or power used to heat water (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Electricity<br />[] 3 Solar energy<br />[] 4 Other</div><br /></svar> Italy 2001: Private households, persons living in dwelling with hot water produced by system different from the one used to heat the dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether other types of fuel or power is used to heat water. IPUMS Centralized heating system used by various dwellings <svar a="all" v="IT01A045 IT01A046 IT01A047 IT01A048 IT01A049"><span class="em">4.1 Indicate the type of heating system available in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 <span class="ital">Centralized</span> -system used by various dwellings<br />[] 2 <span class="ital">Fixed independent</span> system for exclusive use of the dwelling<br />[] 3 <span class="ital">Fixed single</span> systems (fireplace, heater, independent radiators, etc.) that heat all or most of the dwellings<br />[] 4 <span class="ital">Fixed single</span> systems (fireplace, heater, independent radiators, etc.) that heat only <span class="ital">some parts</span> of the dwelling<br />[] 5 <span class="ital">Do not have</span> any of the systems of equipment mentioned above [skip to point 5]</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether centralized heating system is used by various dwellings. IPUMS Fixed independent heating system for exclusive use of the dwelling <svar a="all" v="IT01A045 IT01A046 IT01A047 IT01A048 IT01A049"><span class="em">4.1 Indicate the type of heating system available in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 <span class="ital">Centralized</span> -system used by various dwellings<br />[] 2 <span class="ital">Fixed independent</span> system for exclusive use of the dwelling<br />[] 3 <span class="ital">Fixed single</span> systems (fireplace, heater, independent radiators, etc.) that heat all or most of the dwellings<br />[] 4 <span class="ital">Fixed single</span> systems (fireplace, heater, independent radiators, etc.) that heat only <span class="ital">some parts</span> of the dwelling<br />[] 5 <span class="ital">Do not have</span> any of the systems of equipment mentioned above [skip to point 5]</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether fixed independent heating system is for exclusive use of the dwelling. IPUMS Fixed single heating systems that heat all or most of the dwellings <svar a="all" v="IT01A045 IT01A046 IT01A047 IT01A048 IT01A049"><span class="em">4.1 Indicate the type of heating system available in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 <span class="ital">Centralized</span> -system used by various dwellings<br />[] 2 <span class="ital">Fixed independent</span> system for exclusive use of the dwelling<br />[] 3 <span class="ital">Fixed single</span> systems (fireplace, heater, independent radiators, etc.) that heat all or most of the dwellings<br />[] 4 <span class="ital">Fixed single</span> systems (fireplace, heater, independent radiators, etc.) that heat only <span class="ital">some parts</span> of the dwelling<br />[] 5 <span class="ital">Do not have</span> any of the systems of equipment mentioned above [skip to point 5]</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether fixed single heating systems heat all or most of the dwellings. IPUMS Fixed single heating systems that heat only some parts of the dwelling <svar a="all" v="IT01A045 IT01A046 IT01A047 IT01A048 IT01A049"><span class="em">4.1 Indicate the type of heating system available in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 <span class="ital">Centralized</span> -system used by various dwellings<br />[] 2 <span class="ital">Fixed independent</span> system for exclusive use of the dwelling<br />[] 3 <span class="ital">Fixed single</span> systems (fireplace, heater, independent radiators, etc.) that heat all or most of the dwellings<br />[] 4 <span class="ital">Fixed single</span> systems (fireplace, heater, independent radiators, etc.) that heat only <span class="ital">some parts</span> of the dwelling<br />[] 5 <span class="ital">Do not have</span> any of the systems of equipment mentioned above [skip to point 5]</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether fixed single heating systems heat only some parts of the dwelling. IPUMS Heating system of some kind listed above <svar a="all" v="IT01A045 IT01A046 IT01A047 IT01A048 IT01A049"><span class="em">4.1 Indicate the type of heating system available in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 <span class="ital">Centralized</span> -system used by various dwellings<br />[] 2 <span class="ital">Fixed independent</span> system for exclusive use of the dwelling<br />[] 3 <span class="ital">Fixed single</span> systems (fireplace, heater, independent radiators, etc.) that heat all or most of the dwellings<br />[] 4 <span class="ital">Fixed single</span> systems (fireplace, heater, independent radiators, etc.) that heat only <span class="ital">some parts</span> of the dwelling<br />[] 5 <span class="ital">Do not have</span> any of the systems of equipment mentioned above [skip to point 5]</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Does not have heating system 2 Has heating system 8 Unknown 9 NIU (not in universe) This variable indicates whether the dwelling does not have any of the heating systems of equipment mentioned above. IPUMS Methane, natural gas fuels the heating system in the dwelling <svar a="all" v="IT01A050 IT01A051 IT01A052 IT01A053 IT01A054 IT01A055 IT01A056 IT01A057 IT01A058"><span class="em">4.2 Indicate the type of fuel or power that feeds the heating system in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Diesel<br />[] 3 Liquid propane gas<br />[] 4 Wood<br />[] 5 Electricity<br />[] 6 Fuel oil<br />[] 7 Coal<br />[] 8 Solar energy<br />[] 9 Other types of fuel or energy</div><br /></svar> Italy 2001: Private households, persons living in dwelling with heat [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether methane, natural gas fuels the heating system in the dwelling. IPUMS Diesel fuels the heating system in the dwelling <svar a="all" v="IT01A050 IT01A051 IT01A052 IT01A053 IT01A054 IT01A055 IT01A056 IT01A057 IT01A058"><span class="em">4.2 Indicate the type of fuel or power that feeds the heating system in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Diesel<br />[] 3 Liquid propane gas<br />[] 4 Wood<br />[] 5 Electricity<br />[] 6 Fuel oil<br />[] 7 Coal<br />[] 8 Solar energy<br />[] 9 Other types of fuel or energy</div><br /></svar> Italy 2001: Private households, persons living in dwelling with heat [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether diesel fuels the heating system in the dwelling. IPUMS Liquid propane gas fuels the heating system in the dwelling <svar a="all" v="IT01A050 IT01A051 IT01A052 IT01A053 IT01A054 IT01A055 IT01A056 IT01A057 IT01A058"><span class="em">4.2 Indicate the type of fuel or power that feeds the heating system in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Diesel<br />[] 3 Liquid propane gas<br />[] 4 Wood<br />[] 5 Electricity<br />[] 6 Fuel oil<br />[] 7 Coal<br />[] 8 Solar energy<br />[] 9 Other types of fuel or energy</div><br /></svar> Italy 2001: Private households, persons living in dwelling with heat [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether liquid propane gas fuels the heating system in the dwelling. IPUMS Wood fuels the heating system in the dwelling <svar a="all" v="IT01A050 IT01A051 IT01A052 IT01A053 IT01A054 IT01A055 IT01A056 IT01A057 IT01A058"><span class="em">4.2 Indicate the type of fuel or power that feeds the heating system in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Diesel<br />[] 3 Liquid propane gas<br />[] 4 Wood<br />[] 5 Electricity<br />[] 6 Fuel oil<br />[] 7 Coal<br />[] 8 Solar energy<br />[] 9 Other types of fuel or energy</div><br /></svar> Italy 2001: Private households, persons living in dwelling with heat [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether wood fuels the heating system in the dwelling. IPUMS Electricity feeds the heating system in the dwelling <svar a="all" v="IT01A050 IT01A051 IT01A052 IT01A053 IT01A054 IT01A055 IT01A056 IT01A057 IT01A058"><span class="em">4.2 Indicate the type of fuel or power that feeds the heating system in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Diesel<br />[] 3 Liquid propane gas<br />[] 4 Wood<br />[] 5 Electricity<br />[] 6 Fuel oil<br />[] 7 Coal<br />[] 8 Solar energy<br />[] 9 Other types of fuel or energy</div><br /></svar> Italy 2001: Private households, persons living in dwelling with heat [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether electricity fuels the heating system in the dwelling. IPUMS Fuel oil fuels the heating system in the dwelling <svar a="all" v="IT01A050 IT01A051 IT01A052 IT01A053 IT01A054 IT01A055 IT01A056 IT01A057 IT01A058"><span class="em">4.2 Indicate the type of fuel or power that feeds the heating system in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Diesel<br />[] 3 Liquid propane gas<br />[] 4 Wood<br />[] 5 Electricity<br />[] 6 Fuel oil<br />[] 7 Coal<br />[] 8 Solar energy<br />[] 9 Other types of fuel or energy</div><br /></svar> Italy 2001: Private households, persons living in dwelling with heat [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether fuel oil fuels the heating system in the dwelling. IPUMS Coal that fuels the heating system in the dwelling <svar a="all" v="IT01A050 IT01A051 IT01A052 IT01A053 IT01A054 IT01A055 IT01A056 IT01A057 IT01A058"><span class="em">4.2 Indicate the type of fuel or power that feeds the heating system in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Diesel<br />[] 3 Liquid propane gas<br />[] 4 Wood<br />[] 5 Electricity<br />[] 6 Fuel oil<br />[] 7 Coal<br />[] 8 Solar energy<br />[] 9 Other types of fuel or energy</div><br /></svar> Italy 2001: Private households, persons living in dwelling with heat [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether coal fuels the heating system in the dwelling. IPUMS Solar energy fuels the heating system in the dwelling <svar a="all" v="IT01A050 IT01A051 IT01A052 IT01A053 IT01A054 IT01A055 IT01A056 IT01A057 IT01A058"><span class="em">4.2 Indicate the type of fuel or power that feeds the heating system in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Diesel<br />[] 3 Liquid propane gas<br />[] 4 Wood<br />[] 5 Electricity<br />[] 6 Fuel oil<br />[] 7 Coal<br />[] 8 Solar energy<br />[] 9 Other types of fuel or energy</div><br /></svar> Italy 2001: Private households, persons living in dwelling with heat [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether solar energy fuels the heating system in the dwelling. IPUMS Other types of fuel or energy feeds the heating system in the dwelling <svar a="all" v="IT01A050 IT01A051 IT01A052 IT01A053 IT01A054 IT01A055 IT01A056 IT01A057 IT01A058"><span class="em">4.2 Indicate the type of fuel or power that feeds the heating system in the dwelling (more than one answer is possible)</span><br /><div class="i1">[] 1 Methane, natural gas<br />[] 2 Diesel<br />[] 3 Liquid propane gas<br />[] 4 Wood<br />[] 5 Electricity<br />[] 6 Fuel oil<br />[] 7 Coal<br />[] 8 Solar energy<br />[] 9 Other types of fuel or energy</div><br /></svar> Italy 2001: Private households, persons living in dwelling with heat [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether other types of fuel or energy feeds the heating system in the dwelling. IPUMS Work or interventions carried out to systems in the dwelling <svar a="all" v="IT01A059"><span class="em">5.1 Indicate whether any work or interventions were carried out to <span class="ital">systems</span> in the dwelling over the past ten years (electrical, plumbing, heating, etc.)</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether work or interventions are carried out to systems (electrical, plumbing, heating, etc.) in the dwelling over the past ten years. IPUMS Any work or interventions carried out to structural elements in the dwelling <svar a="all" v="IT01A060"><span class="em">5.2 Indicate whether any work or interventions were carried out to <span class="ital">structural elements</span> in the dwelling over the past ten years (lofts, beams, master walls, etc.)</span><br /><div class="i1">[] 1 Yes [answer question 5.3]<br />[] 2 No</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether any work or interventions are carried out to structural elements (lofts, beams, master walls, etc.) in the dwelling over the past ten years. IPUMS Work or interventions carried out to non-structural elements in the dwelling <svar a="all" v="IT01A061"><span class="em">5.4 Indicate whether any work or interventions were carried out to <span class="ital">non-structural elements</span> in the dwelling over the past ten years (floors, surfaces, partitions, plaster, etc.)</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether work or interventions are carried out to non-structural elements (floors, surfaces, partitions, plaster, etc.) in the dwelling over the past ten years. IPUMS Private box available for car park <span class="h3">6. Car park</span></p> <p><svar a="all" v="IT01A062"><span class="em">6.1 Indicate whether a <span class="ital">private box</span> is available</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether there is private box available for car park. IPUMS Covered parking available <span class="h3">6. Car park</span></p> <p><svar a="all" v="IT01A063"><span class="em">6.2 Indicate whether a <span class="ital">covered</span> parking is available (in a public garage, or similar)</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether there is covered parking available. IPUMS Open personal and private parking available <span class="h3">6. Car park</span></p> <p><svar a="all" v="IT01A064"><span class="em">6.3 Indicate whether an <span class="ital">open</span> personal and private parking is available (in squares, courtyards, or similar)</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether there is open personal and private parking available. IPUMS At least one active fixed telephone line in the dwelling <svar a="all" v="IT01A065"><span class="em">7.1 Indicate whether there is at least one active fixed telephone line in the dwelling</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Private households, persons living in a dwelling [discrepancies: none] 1 Yes 2 No 8 Unknown 9 NIU (not in universe) This variable indicates whether there is at least one active fixed telephone line in the dwelling. IPUMS Strata Italy 2001: All households This variable is the strata identifier for the sample. Strata is a constructed variable that is captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 6-digit numeric variable with 0 implied decimal places 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 Relationship to head, Europe 10 Reference person / Head 20 Spouse or partner 21 Husband or wife 22 Partner in consensual union 30 Child/child-in-law of head or of spouse/partner 31 Spouse or partner of child of head 40 Parent of head, of spouse, or of partner 50 Other relative of head, spouse, or partner 60 Non-relative of head 61 Foster child 62 Boarder 63 Domestic servant 64 Other 99 Not stated / unknown ERELATE describes for the European samples the relationship of the individual to the head of household -- sometimes called the householder or reference person. ERELATE has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. 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 Marital status, Europe NIU (not in universe) 1 Never married 2 Married 3 Widowed and not remarried 4 Divorced/separated and not remarried 5 Widowed or divorced 9 Unknown / missing EMARST describes for the European samples the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. European census instructions generally limit marital status to legal unions, but there are exceptions. EMARST has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. 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 Country of birth 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown BPLCOUNTRY indicates the person's country of birth. 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 Year of immigration 0000 NIU (not in universe) 1790 1790 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 9998 In transit 9999 Unknown YRIMM indicates the calendar year that a foreign-born person came to live in the country in which they were enumerated. IPUMS Years since immigrated 00 0 (within previous year) 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 Unknown 99 NIU (not in universe) YRSIMM indicates the number of years since a foreign-born person immigrated to their country of enumeration. IPUMS Years since immigrated, categorized 1 Less than 1 year 2 1 to 4 years 3 5 to 9 years 4 10 or more years 8 Unknown 9 NIU (not in universe) YRSIMM2 indicates the number of years since a foreign-born person immigrated to the country. The number of years is grouped into intervals. IPUMS School attendance NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 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 Educational attainment, Italy 00 NIU (not in universe) 10 Primary school or lower 11 No education 12 Primary 20 Lower secondary 30 Upper secondary 31 Secondary, vocational diploma 32 Secondary, technical or academic diploma 40 Higher 41 Post-secondary, non-university diploma 42 University diploma (2-3 years) 43 Undergraduate degree (4-6 years) 44 Graduate degree EDUCIT indicates the person's educational attainment in Italy in terms of the degree obtained. IPUMS Educational attainment, Europe 00 NIU (not in universe) 10 Less than primary 20 Primary (first stage of basic education) 30 Lower secondary (second stage of basic education) 40 Upper secondary 50 Post-secondary non-tertiary education 60 University completed 99 Unknown/missing EEDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone) for the European samples. 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. All education that was relevant to the completion of a level should be taken into account even if it was provided outside of schools and universities. EEDATTAIN 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. EEDATTAIN 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 EEDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country. Hungary 1980 and 1990 also give single years of schooling completed, recorded in YRSCHOOL. EEDATTAIN has been classified according to the recommendations of the Conference of European Statisticians for the 2010 Population and Housing Censuses. EEDATTAIN presents a less detailed version of EDATTAIN for the European Samples. 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 Activity status (employment status), Europe 000 NIU (not in universe) 110 Employed 120 Unemployed 121 Unemployed, never worked before 200 Not economically active, unspecified 210 Students 220 Pension or capital income recipients 230 Homemakers 240 Others 999 Unknown / missing EEMPSTAT indicates for the European samples 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, EEMPSTAT can also convey further information. EEMPSTAT has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Employment Status" is referred to as "Activity Status" in the CES recommendations, but the former term is used to maintain consistency with IPUMS practices. The economically active population constitutes the total labor force: employed and unemployed persons. 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 Status in employment (class of worker), Europe NIU (not in universe) 1 Employees 2 Employers 3 Own-account worker 4 Contributing family workers 5 Members of producers' co-operatives 6 Persons not classificable by status 9 Unknown ECLASSWK refers in European Samples 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. ECLASSWK is related to EEMPSTAT (employment status), which is used to define the universe for the variable in many samples. ECLASSWK has been classified according to the recommendations given by the Conference of European Statisticians for the 2010 Population and Housing Censuses. "Class of worker" is referred to as "Status in Employment" in the CES recommendations. The former term is used to maintain concordance with IPUMS practice. IPUMS Full-time or part-time work NIU (not in universe) 1 Part-time 2 Full-time 9 Unknown HRSFULL indicates whether the respondent worked full-time or part-time. IPUMS Actual hours worked per week 000 0 hours 001 1 hour 002 2 hours 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140+ hours 998 Unknown 999 NIU (not in universe) HRSACTUAL1 indicates the actual number of hours the respondent worked per week at all jobs.ss IPUMS Actual hours worked per week, categorized None 1 1 to 14 hours (except tt1980, tt1990, and tt2000) 2 15 to 29 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971) 3 30 to 39 hours (except ps2017, tt1980, tt1990, tt2000, and ve1971) 4 40 to 48 hours (except tt1980, tt1990, and tt2000) 5 49 hours or more (except tt2000) 8 Unknown 9 NIU (not in universe) HRSACTUAL2 indicates the actual number of hours the respondent worked per week at all jobs, categorized into intervals. IPUMS Hours worked in main occupation 000 0 hours 001 1 hour 002 2 hours 003 3 hours 004 4 hours 005 5 hours 006 6 hours 007 7 hours 008 8 hours 009 9 hours 010 10 hours 011 11 hours 012 12 hours 013 13 hours 014 14 hours 015 15 hours 016 16 hours 017 17 hours 018 18 hours 019 19 hours 020 20 hours 021 21 hours 022 22 hours 023 23 hours 024 24 hours 025 25 hours 026 26 hours 027 27 hours 028 28 hours 029 29 hours 030 30 hours 031 31 hours 032 32 hours 033 33 hours 034 34 hours 035 35 hours 036 36 hours 037 37 hours 038 38 hours 039 39 hours 040 40 hours 041 41 hours 042 42 hours 043 43 hours 044 44 hours 045 45 hours 046 46 hours 047 47 hours 048 48 hours 049 49 hours 050 50 hours 051 51 hours 052 52 hours 053 53 hours 054 54 hours 055 55 hours 056 56 hours 057 57 hours 058 58 hours 059 59 hours 060 60 hours 061 61 hours 062 62 hours 063 63 hours 064 64 hours 065 65 hours 066 66 hours 067 67 hours 068 68 hours 069 69 hours 070 70 hours 071 71 hours 072 72 hours 073 73 hours 074 74 hours 075 75 hours 076 76 hours 077 77 hours 078 78 hours 079 79 hours 080 80 hours 081 81 hours 082 82 hours 083 83 hours 084 84 hours 085 85 hours 086 86 hours 087 87 hours 088 88 hours 089 89 hours 090 90 hours 091 91 hours 092 92 hours 093 93 hours 094 94 hours 095 95 hours 096 96 hours 097 97 hours 098 98 hours 099 99 hours 100 100 hours 101 101 hours 102 102 hours 103 103 hours 104 104 hours 105 105 hours 106 106 hours 107 107 hours 108 108 hours 109 109 hours 110 110 hours 111 111 hours 112 112 hours 113 113 hours 114 114 hours 115 115 hours 116 116 hours 117 117 hours 118 118 hours 119 119 hours 120 120 hours 121 121 hours 122 122 hours 123 123 hours 124 124 hours 125 125 hours 126 126 hours 127 127 hours 128 128 hours 129 129 hours 130 130 hours 131 131 hours 132 132 hours 133 133 hours 134 134 hours 135 135 hours 136 136 hours 137 137 hours 138 138 hours 139 139 hours 140 140+ hours 998 Unknown 999 NIU (not in universe) HRSMAIN indicates the number of hours the respondent worked per week in jobs related to their primary occupation. IPUMS Available to work 1 Yes 2 No 8 Unknown 9 NIU (Not in universe) WRKAVAIL indicates whether a person is available to work (readiness) within a short period of time. IPUMS Means of transportation to work or school 00 NIU (not in universe) 10 None, does not travel to work or school 20 Walking 21 Walks or bicycle 22 Walks, bicycle, or motorcycle 30 Private vehicle 31 Auto, truck, van 32 Auto (driver) 33 Auto (passenger) 34 Auto, motorcycle, moped 35 Motorcycle, moped, or scooter 36 Bicycle 37 Bicycle or motorcycle/moped 38 Boat 40 Public transportation 41 Bus or trolley bus 42 Bus or streetcar 43 Streetcar or trolley car 44 Railroad or train 45 Subway or elevated train 46 Other public transportation 50 Other 51 Taxicab 52 Ferryboat 53 Special transportation (company coach, school bus, etc.) 54 Hired transport 55 Shared private transport 56 Horse or animal-drawn vehicle 57 Other, not elsewhere classified 60 Combination of several means 99 Unknown/missing TRNWRK identifies the primary or usual means of transportation the person took either to work or school. In censuses in which a person could report multiple modes of transportation, TRNWRK includes only the first response. IPUMS Migration status, 1 year 00 NIU (not in universe) 10 Same major administrative unit 11 Same major, same minor administrative unit 12 Same major, different minor administrative unit 20 Different major administrative unit 30 Abroad 99 Unknown/missing MIGRATE1 indicates the person's place of residence 1 year ago. The first digit records movement across major administrative divisions and countries; the second digit reports movement across minor administrative divisions. IPUMS Country of residence 1 year ago 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, n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, n.s. 13000 Northern Africa 13010 Algeria 13020 Egypt/United Arab Rep. 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15199 Western African, n.s. 19990 Africa, n.s. 19991 Central and South Africa 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. Jon 21220 St. Lucia 21230 St. Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23990 South America, n.s. 23991 Central and South America 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24041 U.S. Outlying Areas and Territories 24999 North America, n.s. 29990 Americas, other and 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 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 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 33199 Other South-Eastern Asia 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 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34990 Western Asia, n.s. 34991 Middle East, n.e.c. 39999 Asia, n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41030 Czech Republic 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41999 Eastern Europe, n.e.c. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42110 Sweden 42120 United Kingdom 42999 Northern Europe, n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43144 Kosovo 43999 Southern Europe, n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44030 France 44040 Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, n.e.c. 49990 Europe, n.s. 49991 Central-Eastern Europe 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 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) 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, n.e.c. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Samoa 54060 Tokelau 54070 Tonga 54080 Tuvalu 54090 Wallis and Futuna Isls. 59999 Oceania, n.s. 60000 Other 90000 Non-migrant (international) 99998 Response suppressed 99999 Unknown MIGCTRY1 indicates the country of residence 1 year ago for international migrants. Persons who did not live abroad 1 year prior are coded to the "non-migrant" category. 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) Italy 2001: All records 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 This variable indicates the person number (within household). IPUMS Person number, original Italy 2001: Persons in private 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 99 NIU (not in universe -- collective) This variable indicates the person number, original. IPUMS Type of collective Italy 2001: Persons in collective households [discrepancies: type I trace; type II none] 01 Education institutions (colleges, boarding schools, etc.) 02 Institutional care: residence for minors 03 Institutional care for physical and mental disabilities or other institutional care (reception centers for drug addicts, dormitories, reception centers at night, etc.) 04 Hospices, nursing homes for disabled adults and elderly 05 Reception centers for immigrants 06 Public care institutions 07 Private care institutions 08 Prison 09 Church 10 Military and other barracks; other cohabitation 11 Hotels, guesthouses, inns 12 Navy merchant 99 NIU (not in universe) This variable indicates the type of cohabitation (in collectively dwellings). IPUMS Main reason staying in collective Italy 2001: Persons in collective households [discrepancies: type I trace; type II none] 01 Public care institutions 02 Health care officer (doctor, therapist, nurse, etc.) and social or psychological officer (social worker, teacher, psychologist, etc.) 03 Administrative services or ordinary officer (administrator, accountant, personnel, etc.) or persons engaged in the maintenance and cleaning services (laborer, gardener, janitor, etc.) 04 Religious (priest, nun, monk, etc.) 05 Held with conviction 06 Assisted in a reception center for immigrants 07 Admitted in long-term care institution (hospital, clinic, etc.) 08 Assisted in an institution for the elderly (hospice, rest home for the elderly, etc.) 09 Assisted in an institution for children (orphanage, brefotrofio, institue for entrust, etc.) 10 Professional soldier, similar agent, and assistant in other reception center 99 NIU (not in universe) This variable indicates the main reason to stay in cohabitation (in collective dwellings). IPUMS Relationship through kinship or institutional household <svar a="all" v="IT01A404"><span class="em">1.1 Relationship through kinship or institutional household</span><br /><div class="i1">[] 01 Holder of the household form<br />[] 02 Holder's spouse<br />[] 03 Holder's partner<br />[] 04 Holder's and spouse/partner's son/daughter<br />[] 05 Son/daughter of householder only<br />[] 06 Son/daughter of spouse/partner only<br />[] 07 Holder's father/mother (or parent's spouse)<br />[] 08 Holder's father-in-law/mother in-law<br />[] 09 Holder's brother/sister<br />[] 10 Holder's spouse/partner's brother/sister<br />[] 11 Holder spouse's brother/sister or spouse's/partner's brother/sister<br />[] 12 Son-in-law/daughter-in-law (spouse/partner of the son/daughter) of the holder and/or spouse/partner<br />[] 13 Grandchild of the holder and/or the spouse/partner<br />[] 14 Niece/nephew of the holder and/or the spouse/partner<br />[] 15 Other relatives of the holder and/or spouse/partner<br />[] 16 Other partner without ties of kinship</div><br /></svar> Italy 2001: Persons in private households [discrepancies: none] 01 Holder of the household form 02 Holder's spouse 03 Holder's partner 04 Holder's and spouse/partner's son/daughter 05 Son/daughter of householder only 06 Son/daughter of spouse/partner only 07 Holder's father/mother (or parent's spouse) 08 Holder's father-in-law/mother in-law 09 Holder's brother/sister 10 Holder's spouse/partner's brother/sister 11 Holder spouse's brother/sister or spouse's/partner's brother/sister 12 Son-in-law/daughter-in-law (spouse/partner of the son/daughter) of the Holder and/or spouse/partner 13 Grandchild of the Holder and/or the spouse/partner 14 Niece/nephew of the Holder and/or the spouse/partner 15 Other relatives of the Holder and/or spouse/partner 16 Other partner without ties of kinship 98 Unknown 99 NIU (not in universe) This variable indicates the relationship through kinship or institutional household. IPUMS Sex <svar a="all" v="IT01A405"><span class="em">1.2 Sex</span><br /><div class="i1">[] 1 Male<br />[] 2 Female</div><br /></svar> Italy 2001: All persons 1 Male 2 Female This variable indicates the sex of the person. IPUMS Age in categories <svar a="all" v="IT01A406"><span class="em">1.3 Date of birth</span><br /><div class="i1">_ _ Day<br />_ _ Month<br />_ _ _ _ Year</div><br /></svar> Italy 2001: All persons 01 0-4 02 5-9 03 10-14 04 15-19 05 20-24 06 25-29 07 30-34 08 35-39 09 40-44 10 45-49 11 50-54 12 55-59 13 60-64 14 65-69 15 70-74 16 75-79 17 80-84 18 85+ This variable indicates the age in years (grouped). IPUMS Place of birth <svar a="all" v="IT01A407 IT01A408"><span class="em">1.4 Place of birth</span><br /><div class="i1">[] 1 In this municipality<br />[] 2 In another Italian municipality</div><br /><div class="i2">____ Indicate which municipality<br />____ Indicate the abbreviation for the province</div><br /><div class="i1">[] 3 Abroad</div><br /><div class="i2">____ Indicate which foreign country</div><br /></svar> Italy 2001: All persons 1 In this municipality 2 In another Italian municipality of the same Province 3 In another province of the same region 4 In another region 5 Abroad This variable indicates whether the place of birth is in the current municipality. IPUMS Continent and area of birth <svar a="all" v="IT01A407 IT01A408"><span class="em">1.4 Place of birth</span><br /><div class="i1">[] 1 In this municipality<br />[] 2 In another Italian municipality</div><br /><div class="i2">____ Indicate which municipality<br />____ Indicate the abbreviation for the province</div><br /><div class="i1">[] 3 Abroad</div><br /><div class="i2">____ Indicate which foreign country</div><br /></svar> Italy 2001: Persons who were born abroad [discrepancies: none] 01 European Union 15 02 Countries newly added to European Union 03 Central-Eastern Europe 04 Other European Countries 05 North Africa 06 West Africa 07 East Africa 08 Central and South Africa 09 East Asia 10 Central and South Asia 11 East Asia 12 North America 13 Central and South America 14 Oceania 99 NIU (not in universe) This variable indicates the continent and area of birth. IPUMS Citizenship <svar a="all" v="IT01A409 IT01A410"><span class="em">2.1 Indicate the citizenship (Anyone with another citizenship, in additional to Italian, must mark only box 1 "Italian")</span><br /><div class="i1">[] 1 Italian [skip to question 2.2]<br />[] 2 Foreign <br />Indicate the foreign country of citizenship ____<br />[] 3 Stateless</div><br /><div class="i2">If born abroad go to questions 2.3 and 2.4 and continue from point 3<br />If born in Italy go to point 3</div><br /></svar> Italy 2001: All persons 1 Italian 2 Foreign 3 Stateless (no citizenship ) This variable indicates the person's citizenship. IPUMS Continent and area of citizenship <svar a="all" v="IT01A409 IT01A410"><span class="em">2.1 Indicate the citizenship (Anyone with another citizenship, in additional to Italian, must mark only box 1 "Italian")</span><br /><div class="i1">[] 1 Italian [skip to question 2.2]<br />[] 2 Foreign <br />Indicate the foreign country of citizenship ____<br />[] 3 Stateless</div><br /><div class="i2">If born abroad go to questions 2.3 and 2.4 and continue from point 3<br />If born in Italy go to point 3</div><br /></svar> Italy 2001: Persons with foreign citizenship [discrepancies: none] 01 European Union 15 02 Countries newly added to European Union 03 Central-Eastern Europe 04 Other European Countries 05 North Africa 06 West Africa 07 East Africa 08 Central and South Africa 09 West Asia 10 Central and South Asia 11 East Asia 12 North America 13 Central and South America 14 Oceania 15 Stateless 99 NIU (not in universe) This variable indicates the continent and area of citizenship for foreign citizens. IPUMS Italian citizenship <svar a="all" v="IT01A411 IT01A412"><span class="em">2.2 Indicate whether the person has Italian citizenship</span><br />[Question 2.2 was asked of Italian citizens.]<br /><div class="i1">[] 1 From birth [skip to point 3]<br />[] 2 Acquired (e.g. by marriage or naturalization)</div><br /><div class="i2">Indicate the country of previous citizenship and go to point 3 ____</div><br /></svar> Italy 2001: Italian citizen [discrepancies: none] 1 From birth 2 Acquired 9 NIU (not in universe) This variable indicates whether Italian citizenship is from birth or acquired. IPUMS Year moved to Italy <svar a="all" v="IT01A411 IT01A412"><span class="em">2.2 Indicate whether the person has Italian citizenship</span><br />[Question 2.2 was asked of Italian citizens.]<br /><div class="i1">[] 1 From birth [skip to point 3]<br />[] 2 Acquired (e.g. by marriage or naturalization)</div><br /><div class="i2">Indicate the country of previous citizenship and go to point 3 ____</div><br /></svar></p> <p><svar v="IT01A412 IT01A413"><span class="em">For foreign citizens and stateless persons, if born abroad Questions 2.3-2.4.</span><br />[Questions 2.3-2.4 were asked of foreign citizens and stateless persons if born abroad.]<br /></svar></p> <p><svar a="all" v="IT01A412"><span class="em">2.3 Indicate the year in which you moved to Italy____</span><br /></svar> Italy 2001: Foreign and stateless persons who were born aboard [discrepancies: none] 1904 1904 1910 1910 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 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 9999 NIU (not in universe) This variable indicates the year the person moved to Italy. IPUMS Main reason for presence in Italy <svar v="IT01A412 IT01A413"><span class="em">For foreign citizens and stateless persons, if born abroad Questions 2.3-2.4.</span><br />[Questions 2.3-2.4 were asked of foreign citizens and stateless persons if born abroad.]<br /></svar></p> <p><svar a="all" v="IT01A413"><span class="em">2.4 Indicate the main reason for the move</span><br /><div class="i1">[] 1 Work<br />[] 2 Study<br />[] 3 Presence of relatives<br />[] 4 Other</div><br /></svar> Italy 2001: Foreign and stateless persons who were born aboard [discrepancies: none] 1 Work 2 Study 3 Presence of relatives 4 Other 9 NIU (not in universe) This variable indicates the main reason why the person moved to Italy in the first place. IPUMS Marital status <svar v="IT01A414 IT01A415 IT01A416 IT01A417 IT01A418 IT01A419">[Questions in points 3 and 4 were asked of everyone, unless otherwise noted]<br /></svar></p> <p><svar a="all" v="IT01A414"><span class="em">3.1 Marital Status</span><br /><div class="i1">[] 1 Single [skip to point 4]<br />[] 2 Married<br />[] 3 De facto separated<br />[] 4 Legally separated<br />[] 5 Divorced<br />[] 6 Widow/er</div><br /></svar> Italy 2001: All persons 1 Single 2 Married 3 De facto separated 4 Legally separated 5 Divorced 6 Widow/er This variable indicates the person's marital status. IPUMS Year of most recent marriage <svar v="IT01A414 IT01A415 IT01A416 IT01A417 IT01A418 IT01A419">[Questions in points 3 and 4 were asked of everyone, unless otherwise noted]<br /></svar></p> <p><svar a="all" v="IT01A415"><span class="em">3.2 Month and year of marriage</span><br /><div class="i1">(In case of more than one matrimony, indicate the month and year of the last one) <br /><br />Month _ _<br />Year _ _ _ _</div><br /></svar> Italy 2001: Ever-married persons in private households [discrepancies: none] 1913 1913 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 9999 NIU (not in universe) This variable indicates the year the person married. For those who married more than once, the last one should be included here. IPUMS Marital status prior to last marriage <svar v="IT01A414 IT01A415 IT01A416 IT01A417 IT01A418 IT01A419">[Questions in points 3 and 4 were asked of everyone, unless otherwise noted]<br /></svar></p> <p><svar a="all" v="IT01A416"><span class="em">3.3 Marital Status prior to last marriage</span><br /><div class="i1">[] 1 Single<br />[] 2 Divorced<br />[] 3 Widow/er</div><br /></svar> Italy 2001: Ever married persons in private households [discrepancies: none] 1 Single 2 Married 3 Widow/er 9 NIU (not in universe) This variable indicates the marital status prior to last marriage of all persons who ever married. IPUMS Person's location on the date of the Census (21 October 2001) <svar v="IT01A414 IT01A415 IT01A416 IT01A417 IT01A418 IT01A419">[Questions in points 3 and 4 were asked of everyone, unless otherwise noted]<br /></svar></p> <p><svar a="all" v="IT01A417"><span class="em">4.1 Indicate whether on the date of the Census (21 October 2001) the person is</span><div class="i1">[] 1 In the accommodation<br />[] 2 In this municipality, but in other accommodation or institutional household (e.g. relatives or friends house, barracks, hospital)<br />[] 3 In another Italian municipality<br />[] 4 Abroad</div><br /></svar> Italy 2001: All persons 1 In the accommodation 2 In this municipality, but in other accommodation or institutional household (e.g. relatives or friends house, barracks, hospital) 3 In another Italian municipality 4 Abroad This variable indicates where the person was on the date of the Census (21 October 2001). IPUMS Lived in other accommodation or institutional household during the past 12 months <svar v="IT01A414 IT01A415 IT01A416 IT01A417 IT01A418 IT01A419">[Questions in points 3 and 4 were asked of everyone, unless otherwise noted]<br /></svar></p> <p><svar a="all" v="IT01A418"><span class="em">4.2 Indicate whether during the past 12 months (21 October 2000 - 21 October 2001) the person lived in accommodation or institutional household (e.g. relatives or friends house, barracks, hospital) other than the present</span><br /><div class="i1">[] 1 Yes [answer question 4.3]<br />[] 2 No [skip to question 4.7]</div><br /></svar> Italy 2001: All persons 1 Yes 2 No This variable indicates whether the person lived in accommodation or institutional household other than the present during the past 12 months. IPUMS Number of days in which lived other than in the present accommodation or institution <svar v="IT01A414 IT01A415 IT01A416 IT01A417 IT01A418 IT01A419">[Questions in points 3 and 4 were asked of everyone, unless otherwise noted]<br /></svar></p> <p><svar a="all" v="IT01A419">If yes [to question 4.2 whether the person lived in the accommodation or household during the past 12 months].<br /><br /><span class="em">4.3 Indicate the overall number of days (even if not consecutive)</span><br /><div class="i1">[Question 4.3 was asked of those who lived in accommodation or institutional household other than the present during the past 12 months.]<br /><br />[] 1 Up to 90 days [skip to question 4.7]<br />[] 2 From 91 to 180 days<br />[] 3 From 181 to 270 days<br />[] 4 From 271 to 365 days</div><br /></svar> Italy 2001: Persons whose previous accommodation is different from the present [discrepancies: none] 1 Up to 90 days 2 From 91 to 180 days 3 From 181 to 270 days 4 From 271 to 365 days 9 NIU (not in universe) This variable indicates the number of days the person lived in accommodation or institutional household other than the present over the past 12 months. IPUMS Currently living, even for a limited period of time, in one or more accommodation or institutional household other than the present <svar v="IT01A420 IT01A421 IT01A422">[Question 4.4 to 4.6 was asked of those who lived in accommodation or institutional household other than the present for more than 90 days during the past 12 months.]<br /></svar></p> <p><svar a="all" v="IT01A420"><span class="em">4.4 Indicate whether the person is currently living, even for a limited period of time, in one or more dwelling or institutional household, other than the present</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Persons who lived in accommodation other than present for more than 90 days [discrepancies:none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person is currently living, even for a limited period of time, in one or more accommodation or institutional household other than the present. IPUMS Location of the accommodation or institutional household other than the present <svar v="IT01A420 IT01A421 IT01A422">[Question 4.4 to 4.6 was asked of those who lived in accommodation or institutional household other than the present for more than 90 days during the past 12 months.]<br /></svar></p> <p><svar a="all" v="IT01A421"><span class="em">4.5 Indicate where the dwelling or institutional household, other than the present, are located</span><br /><div class="i1">(If there is more than one dwelling or institutional household, refer to the one in which the person lived for the longest time.)<br /><br />[] 1 In this municipality<br />[] 2 In another Italian municipality<br />[] 3 Abroad</div><br /></svar> Italy 2001: Persons who lived in accommodation other than present for more than 90 days [discrepancies:none] 1 In this municipality 2 In another Italian municipality 3 Abroad 9 NIU (not in universe) This variable indicates whether the location of the accommodation or institutional household other than the present is in the same municipality. IPUMS Main reason used other accommodation or institutional household <svar v="IT01A420 IT01A421 IT01A422">[Question 4.4 to 4.6 was asked of those who lived in accommodation or institutional household other than the present for more than 90 days during the past 12 months.]<br /></svar></p> <p><svar a="all" v="IT01A422"><span class="em">4.6 Indicate the main reason why the dwelling or institutional household other than the present one is being used</span><br /><div class="i1">(If there is more than one dwelling or institutional household, refer to the one in which the person lived for the longest time)<br /><br />[] 1 Work<br />[] 2 Study<br />[] 3 Presence of relatives<br />[] 4 Vacation<br />[] 5 Previous usual dwelling (transfer of residence)<br />[] 6 Other</div><br /></svar> Italy 2001: Persons who lived in accommodation other than present for more than 90 days [discrepancies:none] 1 Work 2 Study 3 Presence of relatives 4 Vacation 5 Previous usual accommodation (transfer of residence) 6 Other 9 NIU (not in universe) This variable indicates the main reason why accommodation or institutional household other than the present one is being used. IPUMS Place of habitual residence one year ago <svar a="all" v="IT01A423 IT01A424 IT01A425"><span class="em">For persons over 1 year of age</span><br /><br /><span class="em">4.7 Indicate whether one year ago (21 October 2000) the person had a steady residence</span><br /><div class="i1">[Question 4.7 was asked for persons over 1 year of age.]<br /><br />[] 1 In the dwelling<br />[] 2 In this municipality, but in other dwelling or institutional household<br />[] 3 In another Italian municipality</div><br /><div class="i2">____ Indicate which municipality <br />____ Indicate the abbreviation for the province</div><div class="i1">[] 4 Abroad</div><div class="i2">____ Indicate which foreign country</div><br /></svar> Italy 2001: Persons age 1+ [discrepancies: none] 1 In the same accommodation 2 In this municipality, but in other accommodation or institutional household 3 In another Italian municipality 4 Abroad 9 NIU (not in universe) This variable indicates the place the person had a steady residence one year ago. IPUMS Province of habitual residence one year ago <svar a="all" v="IT01A423 IT01A424 IT01A425"><span class="em">For persons over 1 year of age</span><br /><br /><span class="em">4.7 Indicate whether one year ago (21 October 2000) the person had a steady residence</span><br /><div class="i1">[Question 4.7 was asked for persons over 1 year of age.]<br /><br />[] 1 In the dwelling<br />[] 2 In this municipality, but in other dwelling or institutional household<br />[] 3 In another Italian municipality</div><br /><div class="i2">____ Indicate which municipality <br />____ Indicate the abbreviation for the province</div><div class="i1">[] 4 Abroad</div><div class="i2">____ Indicate which foreign country</div><br /></svar> Italy 2001: Persons age 1+ [discrepancies: none] 1 In the same municipality as the residence 2 In other municipality in the same province 3 In other province of the same region 4 In other region 5 Abroad 9 NIU (not in universe) This variable indicates the province the person had a steady residence one year ago. IPUMS Continent of habitual residence one year ago <svar a="all" v="IT01A423 IT01A424 IT01A425"><span class="em">For persons over 1 year of age</span><br /><br /><span class="em">4.7 Indicate whether one year ago (21 October 2000) the person had a steady residence</span><br /><div class="i1">[Question 4.7 was asked for persons over 1 year of age.]<br /><br />[] 1 In the dwelling<br />[] 2 In this municipality, but in other dwelling or institutional household<br />[] 3 In another Italian municipality</div><br /><div class="i2">____ Indicate which municipality <br />____ Indicate the abbreviation for the province</div><div class="i1">[] 4 Abroad</div><div class="i2">____ Indicate which foreign country</div><br /></svar> Italy 2001: Persons age 1+ and had a steady residence abroad one year ago [discrepancies: none] 01 European Union 15 02 Countries newly added to European Union 03 Central-Eastern Europe 04 Other European Countries 05 North Africa 06 West Africa 07 East Africa 08 Central and South Africa 09 East Asia 10 Central and South Asia 11 East Asia 12 North America 13 Central and South America 14 Oceania 99 NIU (not in universe) This variable indicates the continent the person had a steady residence one year ago. IPUMS Preschool attendance <svar a="all" v="IT01A426"><span class="em">For persons under 6 years of age</span><br />[Question 5.1 was asked for persons under 6 years of age.]<br /><br /><span class="em">5.1 Indicate whether the child goes to</span><br /><div class="i1">[] 1 Day nurseries (go to point 8)<br />[] 2 Nursery School (go to point 8)<br />[] 3 Neither one (the questionnaire ends here)</div><br /></svar> Italy 2001: Persons under age 6 [discrepancies: none] 1 Day nurseries 2 Nursery school 3 Neither one 8 Unknown 9 NIU (not in universe) This variable indicates whether the child goes to nursery school or day nurseries. It is likely that all the children in the unknown category are those already in first grade of primary school. This information is consistent with other education related variables. IPUMS Highest educational degree obtained <svar v="IT01A427 IT01A428 IT01A429 IT01A430 IT01A431 IT01A432 IT01A433 IT01A434 IT01A435 IT01A436"><span class="em">For persons over 6 years of age</span><br />[Questions 5.2 to 5.10 were asked for persons over 6 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A427"><span class="em">5.2 Indicate the highest educational degree obtained amongst those listed below</span><br /><div class="i1">[] 01 No educational degree, cannot read nor write [skip to question 5.8]<br />[] 02 No educational degree, but can read and write [skip to question 5.8]<br />[] 03 Primary school certificate [skip to question 5.6]<br />[] 04 Lower secondary school certificate [skip to question 5.6]<br /><br />Secondary school diploma obtained at:</div><br /><div class="i2">[] 05 Secondary school in Classical Studies [skip to question 5.6]<br />[] 06 Secondary school in Scientific Studies [skip to question 5.6]<br />[] 07 Secondary school in Linguistic Studies [skip to question 5.6]<br />[] 08 Secondary school in Artistic Studies (4-5 year course)<br />[] 09 Professional Institute [answer question 5.3]<br />[] 10 Teachers Schools [answer question 5.3]<br />[] 11 Institute of Arts [answer question 5.3]<br />[] 12 Technical Institute (5 year course) [skip to question 5.4]<br />[] 13 Teachers Institute (4-5 year course) [skip to question 5.4]</div><br /><div class="i1">[] 14 Post graduate non-University Diploma [skip to question 5.4]<br />[] 15 University diploma (Special or University equivalent school, short degree) [skip to question 5.4]<br />[] 16 Degree [skip to question 5.4]</div><br /></svar> Italy 2001: Persons age 6+ [discrepancies:type I 0.1%; type II none] NIU (not in universe) 1 No educational degree, cannot read nor write 2 No educational degree, but can read and write 3 Primary school certificate 4 Lower secondary school certificate 5 Upper secondary, vocational diploma: 2-3 year course 6 Upper secondary, all types: 4-5 year course 7 Post-secondary, non-university diploma of specialization (2-3 years) 8 University diploma (2-3 year) 9 Bachelor's degree (4-5 years or more) This variable indicates the highest educational degree obtained. There are some under 6 who have given responses, but they presumably are those already in first grade of primary school. The degree from post-university graduate study is constructed using a separate census question. IPUMS Duration of course <svar v="IT01A427 IT01A428 IT01A429 IT01A430 IT01A431 IT01A432 IT01A433 IT01A434 IT01A435 IT01A436"><span class="em">For persons over 6 years of age</span><br />[Questions 5.2 to 5.10 were asked for persons over 6 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A428"><span class="em">5.3 Indicate duration of course</span><br /><div class="i1">[Question 5.3 was asked of persons with a secondary school diploma obtained at a professional institute, teacher's schools, or institute of arts per question 5.2]<br /><br />[] 1 2-3 years<br />[] 2 4-5 years</div><br /></svar> Italy 2001: Persons age 6+ with upper professional institute, teachers school or institute of arts secondary diploma [unverifiable] 1 2-3 years 2 4-5 years 9 NIU (not in universe) This variable indicates the duration of studies in Professional Institutes, Teachers Schools and Institutes of Arts between 2-3 year courses (which do not allow for enrollment in university) and 4-5 year courses. The universe for this question is unverifiable. IPUMS In possession of post-university specialization and/or research doctorate <svar v="IT01A427 IT01A428 IT01A429 IT01A430 IT01A431 IT01A432 IT01A433 IT01A434 IT01A435 IT01A436"><span class="em">For persons over 6 years of age</span><br />[Questions 5.2 to 5.10 were asked for persons over 6 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A429"><span class="em">For persons with a university degree</span><br />[Question 5.5 was asked of persons with a university degree per question 5.2]<br /><br /><span class="em">5.5 Indicate whether in possession of post-university specialization and/or research doctorate</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Persons age 6+ with a Bachelor's or postgraduate degree [discrepancies: none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person is in possession of post-university specialization and/or research doctorate. IPUMS Highest educational certificate or degree was obtained abroad <svar v="IT01A427 IT01A428 IT01A429 IT01A430 IT01A431 IT01A432 IT01A433 IT01A434 IT01A435 IT01A436"><span class="em">For persons over 6 years of age</span><br />[Questions 5.2 to 5.10 were asked for persons over 6 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A430"><span class="em">5.6 Indicate whether the highest educational certificate or degree was obtained abroad</span><br /><div class="i1">[] 1 Yes [answer question 5.7]<br />[] 2 No [skip to question 5.8]</div><br /></svar> Italy 2001: Persons age 6+ with at least primary school certificate [discrepancies:none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the highest educational certificate or degree was obtained abroad. IPUMS Years needed to obtain this certificate/degree abroad <svar v="IT01A427 IT01A428 IT01A429 IT01A430 IT01A431 IT01A432 IT01A433 IT01A434 IT01A435 IT01A436"><span class="em">For persons over 6 years of age</span><br />[Questions 5.2 to 5.10 were asked for persons over 6 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A431"><span class="em">5.7 Indicate how many years are needed, after having entered the school system, to obtain this certificate/degree abroad </span>____<br /><div class="i1">[Question 5.7 was asked of those whose highest educational certificate or degree was obtained abroad.]</div><br /></svar> Italy 2001: Persons age 6+ whose highest degree was obtained abroad [discrepancies:none] 05 5 08 8 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 99 NIU (not in universe) This variable indicates the number of years needed, after having entered the school system, to obtain this certificate/ degree abroad. IPUMS Enrolled in school or a post-diploma non-university course <svar v="IT01A427 IT01A428 IT01A429 IT01A430 IT01A431 IT01A432 IT01A433 IT01A434 IT01A435 IT01A436"><span class="em">For persons over 6 years of age</span><br />[Questions 5.2 to 5.10 were asked for persons over 6 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A432"><span class="em">5.8 Indicate whether the person is enrolled in primary school, secondary school or University (or a post-diploma non-university course)</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Persons age 6+ [discrepancies: type I 0.1%; type II none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person is currently enrolled in primary school, secondary school or University (or a post-diploma non-university course). There are some under 6 who have given responses, but they presumably are those already in first grade of primary school. IPUMS Attending a vocational training/updating course <svar v="IT01A427 IT01A428 IT01A429 IT01A430 IT01A431 IT01A432 IT01A433 IT01A434 IT01A435 IT01A436"><span class="em">For persons over 6 years of age</span><br />[Questions 5.2 to 5.10 were asked for persons over 6 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A433"><span class="em">5.9 Indicate if the person is attending a vocational training/updating course</span><br /><div class="i1">[] 1 Yes [answer question 5.10]<br />[] 2 No [skip to question 6.1]</div><br /></svar> Italy 2001: Persons age 6+ [discrepancies: none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person is attending a vocational training/updating course. There are some under 6 who have given responses, but they presumably are those already in first grade of primary school. IPUMS Type of course attended: professional training/updating course organized and/or financed by employer <svar v="IT01A427 IT01A428 IT01A429 IT01A430 IT01A431 IT01A432 IT01A433 IT01A434 IT01A435 IT01A436"><span class="em">For persons over 6 years of age</span><br />[Questions 5.2 to 5.10 were asked for persons over 6 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A434 IT01A435 IT01A436"><span class="em">5.10 Indicate the type of course attended (more than one answer is possible)</span><br /><div class="i1">[Question 5.10 was asked of those who were attending a vocational training/updating course.]<br /><br />[] 1 A professional training/updating course organized and/or financed by the employing company/firm/administration<br />[] 2 A professional training course offered by the region, province, etc.<br />[] 3 A private professional training course</div><br /></svar> Italy 2001: Persons age 6+ attending a vocational training course [discrepancies:none] 1 No 2 Yes 9 NIU (not in universe) This variable indicates whether the type of course attended is organized and/or financed by the employing company/firm/administration. IPUMS Type of course attended: professional training course offered by the region, province, etc <svar v="IT01A427 IT01A428 IT01A429 IT01A430 IT01A431 IT01A432 IT01A433 IT01A434 IT01A435 IT01A436"><span class="em">For persons over 6 years of age</span><br />[Questions 5.2 to 5.10 were asked for persons over 6 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A434 IT01A435 IT01A436"><span class="em">5.10 Indicate the type of course attended (more than one answer is possible)</span><br /><div class="i1">[Question 5.10 was asked of those who were attending a vocational training/updating course.]<br /><br />[] 1 A professional training/updating course organized and/or financed by the employing company/firm/administration<br />[] 2 A professional training course offered by the region, province, etc.<br />[] 3 A private professional training course</div><br /></svar> Italy 2001: Persons age 6+ attending a vocational training course [discrepancies:none] 1 No 2 Yes 9 NIU (not in universe) This variable indicates whether the type of course attended is a professional training course offered by the region, province, etc. IPUMS Type of course attended: private professional training course <svar v="IT01A427 IT01A428 IT01A429 IT01A430 IT01A431 IT01A432 IT01A433 IT01A434 IT01A435 IT01A436"><span class="em">For persons over 6 years of age</span><br />[Questions 5.2 to 5.10 were asked for persons over 6 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A434 IT01A435 IT01A436"><span class="em">5.10 Indicate the type of course attended (more than one answer is possible)</span><br /><div class="i1">[Question 5.10 was asked of those who were attending a vocational training/updating course.]<br /><br />[] 1 A professional training/updating course organized and/or financed by the employing company/firm/administration<br />[] 2 A professional training course offered by the region, province, etc.<br />[] 3 A private professional training course</div><br /></svar> Italy 2001: Persons age 6+ attending a vocational training course [discrepancies:none] 1 No 2 Yes 9 NIU (not in universe) This variable indicates whether the type of course attended is a private professional training course. IPUMS Employment status <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A437"><span class="em">6.1 Indicate whether, during the week preceding the date of the Census (from 14 to 20 October, 2001), the person was</span><br /><div class="i1">[] 01 Employed [skip to point 7]<br />[] 02 Looking for first employment<br />[] 03 Unemployed (looking for a new job)<br />[] 04 Waiting to begin a job already obtained<br />[] 05 Student<br />[] 06 Looking after home/household<br />[] 07 Retired<br />[] 08 On national military service or substitute civil service [skip to point 8]<br />[] 09 Disabled for work [skip to point 8]<br />[] 10 Other conditions</div><br /></svar> Italy 2001: Persons age 15+ [discrepancies: none] 01 Employed 02 Looking for first employment 03 Unemployed (looking for a new job) 04 Waiting to begin a job already obtained 05 Student 06 Looking after home/household 07 Retired 08 On national military service or substitute civil service 09 Disabled for work 10 Other conditions 99 NIU (not in universe) This variable indicates the employment status during the week preceding the date of the Census (October 14 t0 20, 2001) of persons 15 years of age and above. IPUMS Worked one or more hours of paid work, or as contributing family worker <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar a="all" v="IT01A438"><span class="em">6.2 Indicate whether, during the week from 14 to 20 October, 2001 the person worked <span class="ital">one or more hours of paid work</span>, or as contributing family worker</span><br /><br /><div class="i1">[Question 6.2 was asked of people who were not employed, or on national military service or substitute civil service, or disabled for work.]<br />[] 1 Yes [skip to point 7]<br />[] 2 No</div><br /></svar> Italy 2001: Persons age 15+ who were not employed, not on national military service, not substitute civil service, or not disabled for work [discrepancies:none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person worked one or more hours of paid work, or as contributing family worker during the week preceding the Census (October 14 to 20, 2001). IPUMS Actively tried to find a job or attempted to open own activity <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A439 IT01A440 IT01A441"><span class="em">If No [to Question 6.2]</span><br />[Questions 6.3-6.5 were asked of people who did not work during the week from 14 to 20 of October]<br /></svar></p> <p><svar a="all" v="IT01A439"><span class="em">6.3 Indicate whether, during the last 4 weeks, the person has actively tried to find a job or attempted to open own activity</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Persons age 15+ who did not work during 14-20 Oct 2001 [discrepancies: none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person actively tried to find a job or attempted to open own activity during the last 4 weeks. IPUMS Would be willing to start work within 2 weeks, should the opportunity arise <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A439 IT01A440 IT01A441"><span class="em">If No [to Question 6.2]</span><br />[Questions 6.3-6.5 were asked of people who did not work during the week from 14 to 20 of October]<br /></svar></p> <p><svar a="all" v="IT01A440"><span class="em">6.4 Indicate whether, should the opportunity arise, the person would be willing to start work within 2 weeks</span><br /><div class="i1">[] 1 Yes<br />[] 2 No</div><br /></svar> Italy 2001: Persons age 15+ who did not work during 14-20 Oct 2001 [discrepancies: none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person would be willing to start work within 2 weeks, should the opportunity arise. IPUMS Ever held a paid job or worked as a contributing family worker during their lifetime <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A439 IT01A440 IT01A441"><span class="em">If No [to Question 6.2]</span><br />[Questions 6.3-6.5 were asked of people who did not work during the week from 14 to 20 of October]<br /></svar></p> <p><svar a="all" v="IT01A441"><span class="em">6.5 Indicate whether the person has ever held a paid job or worked as a contributing family worker during their lifetime</span><br /><div class="i1">[] 1 Yes [answer question 6.6]<br />[] 2 No [skip to point 8]</div><br /></svar> Italy 2001: Persons age 15+ who did not work during 14-20 Oct 2001 [discrepancies: none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person ever held a paid job or worked as a contributing family worker during their lifetime. IPUMS Worked during the week of 14 to 20 October <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="h3">7. Work activity</span><br />[Questions 7.1 to 7.12 were asked of those who worked one or more hours of paid work, or as contributing family worker.] <br /><br /><span class="em">To answer questions from 7.1 to 7.12, refer to the main work activities (activities where the greater number of hours were worked)</span><br /></svar></p> <p><svar a="all" v="IT01A442"><span class="em">7.1 Indicate the number of work hours during the week of 14 to 20 October</span><br /><div class="i1">[] 1 None<br />[] 2 One or more [skip to question 7.3]</div><br /></svar> Italy 2001: Persons age 15+ who has worked for paid jobs durign the week preceding the Census [discrepancies: none] 1 None 2 One or more hours of work 9 NIU (not in universe) This variable indicates whether the person worked during the week of 14 to 20 October, 2001. IPUMS Reason did not work during the week of 14 to 20 October <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="h3">7. Work activity</span><br />[Questions 7.1 to 7.12 were asked of those who worked one or more hours of paid work, or as contributing family worker.] <br /><br /><span class="em">To answer questions from 7.1 to 7.12, refer to the main work activities (activities where the greater number of hours were worked)</span><br /></svar></p> <p><svar a="all" v="IT01A443"><span class="em">7.2 Specify why</span><br /><div class="i1">[Question 7.2 is asked of those whose number of hours worked during the week of 14 to 20 October was zero.]<br /><br />[] 1 Vacation<br />[] 2 Illness<br />[] 3 Maternity leave<br />[] 4 Leave of absence<br />[] 5 Income support<br />[] 6 Lack of orders<br />[] 7 Other</div><br /></svar> Italy 2001: Persons age 15+ who did not work during Oct 14-20 [discrepancies: none] 1 Vacation 2 Illness 3 Maternity leave 4 Leave of absence 5 Income support 6 Lack of orders 7 Other 9 NIU (not in universe) This variable indicates why the person did not work during the week of 14 to 20 October, 2001. IPUMS Number of hours worked during the week of 14 to 20 October <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="h3">7. Work activity</span><br />[Questions 7.1 to 7.12 were asked of those who worked one or more hours of paid work, or as contributing family worker.] <br /><br /><span class="em">To answer questions from 7.1 to 7.12, refer to the main work activities (activities where the greater number of hours were worked)</span><br /></svar></p> <p><svar a="all" v="IT01A444"><span class="em">7.3 Indicate the number</span><br /><div class="i1">Hours worked ____</div><br /></svar> Italy 2001: Persons age 15+ who worked during Oct 14-20 [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 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 99 NIU (not in universe) This variable indicates the number of hours worked during the week of 14 to 20 October, 2001. IPUMS Full-time or part-time work <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="h3">7. Work activity</span><br />[Questions 7.1 to 7.12 were asked of those who worked one or more hours of paid work, or as contributing family worker.] <br /><br /><span class="em">To answer questions from 7.1 to 7.12, refer to the main work activities (activities where the greater number of hours were worked)</span><br /></svar></p> <p><svar a="all" v="IT01A445"><span class="em">7.4 Indicate whether the person has a job</span><br /><div class="i1">[] 1 Full time<br />[] 2 Part time</div><br /></svar> Italy 2001: Persons age 15+ and worked for paid jobs [discrepancies: none] 1 Full time 2 Part time 9 NIU (not in universe) This variable indicates whether the work is full-time or part-time work during the week of 14 to 20 October, 2001. IPUMS Class of worker <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="h3">7. Work activity</span><br />[Questions 7.1 to 7.12 were asked of those who worked one or more hours of paid work, or as contributing family worker.] <br /><br /><span class="em">To answer questions from 7.1 to 7.12, refer to the main work activities (activities where the greater number of hours were worked)</span><br /></svar></p> <p><svar a="all" v="IT01A446"><span class="em">7.5 Indicate whether the person works as</span><br /><div class="i1">[] 1 Employee or other subordinate position [Skip to question 7.7]<br />[] 2 Entrepreneur [Answer question 7.6]<br />[] 3 Professional [Answer question 7.6]<br />[] 4 Own-account worker [Answer question 7.6]<br />[] 5 Member of producers and/or services cooperative [Skip to question 7.9]<br />[] 6 Contributing family worker [Skip to question 7.9]</div><br /></svar> Italy 2001: Persons age 15+ and worked for paid jobs [discrepancies: none] 1 Employee or other subordinate position 2 Entrepreneur 3 Professional 4 Own-account worker 5 Member of producers and/or services cooperative 6 Contributing family worker 9 NIU (not in universe) This variable indicates the class of worker during the week of 14 to 20 October, 2001. IPUMS Have paid employees <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="h3">7. Work activity</span><br />[Questions 7.1 to 7.12 were asked of those who worked one or more hours of paid work, or as contributing family worker.] <br /><br /><span class="em">To answer questions from 7.1 to 7.12, refer to the main work activities (activities where the greater number of hours were worked)</span><br /></svar></p> <p><svar a="all" v="IT01A447"><span class="em">7.6 Indicate if there are paid workers</span><br /><div class="i1">[Question 7.6 was asked of those who worked as entrepreneur, professional, or own-account worker.]<br /><br />[] 1 Yes<br />[] 2 No<br /><br />[Skip to question 7.9]</div><br /></svar> Italy 2001: Person age 15+ who are enterpreneur, professional, or own-account workers [discrepancies: none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether there were paid workers during the week of 14 to 20 October, 2001. IPUMS Indefinite or definite job <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="h3">7. Work activity</span><br />[Questions 7.1 to 7.12 were asked of those who worked one or more hours of paid work, or as contributing family worker.] <br /><br /><span class="em">To answer questions from 7.1 to 7.12, refer to the main work activities (activities where the greater number of hours were worked)</span><br /></svar></p> <p><svar a="all" v="IT01A448"><span class="em">7.7 Indicate if the person has a job for</span><br /><div class="i1">[Question 7.7 was asked of those who worked as employee or other subordinate position, entrepreneur, professional, or own-account worker.]<br /><br />[] 1 Indefinite [skip to question 7.9]<br />[] 2 Definite [answer question 7.8]</div><br /></svar> Italy 2001: Person age 15+ who are employee or other subordinate position [discrepancies: none] 1 Indefinite 2 Definite 9 NIU (not in universe) This variable indicates whether the job the person has is for indefinite or definite period. IPUMS Type of work contract <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="h3">7. Work activity</span><br />[Questions 7.1 to 7.12 were asked of those who worked one or more hours of paid work, or as contributing family worker.] <br /><br /><span class="em">To answer questions from 7.1 to 7.12, refer to the main work activities (activities where the greater number of hours were worked)</span><br /></svar></p> <p><svar a="all" v="IT01A449"><span class="em">7.8 Indicate the type of work contract</span><br /><div class="i1">[Question 7.8 was asked of those who worked as employee or other subordinate position, entrepreneur, professional, or own-account worker, and the person has a job for a defined time period]<br /><br />[] 1 Work and training contract<br />[] 2 Apprentice contract<br />[] 3 Interim contract<br />[] 4 Other</div><br /></svar> Italy 2001: Person 15+ who are employee or other subordinate position with definite job [discrepancies: none] 1 Work and training contract 2 Apprentice contract 3 Interim contract 4 Other 9 NIU (not in universe) This variable indicates the type of work contract during the week of October 14 to 20, 2001. IPUMS Occupation <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="h3">7. Work activity</span><br />[Questions 7.1 to 7.12 were asked of those who worked one or more hours of paid work, or as contributing family worker.] <br /><br /><span class="em">To answer questions from 7.1 to 7.12, refer to the main work activities (activities where the greater number of hours were worked)</span><br /></svar></p> <p><svar a="all" v="IT01A450"><span class="em">7.9 Indicate what your work activity consists in</span><br /><div class="i1">(For each answer proposed, in parenthesis there are examples of professions where these activities are carried out)<br /><br />[] 0 Work as officer, non-commissioned officer, cadet or volunteer in the Armed Forces - Army, Navy, Air Force, <span class="lang">Carabinieri</span> (Lieutenant General, Colonel Medical Corp, Sargent, <span class="lang">Carabinieri</span> cadet)<br />[] 1 Direct business or manage the work of complex organizational structures (Businessman, public or private Manager, Head of clinical, Schoolmaster, Merchant)<br />[] 2 Work in an organizational, technical, intellectual, scientific or artistic field requiring a high level of qualification (Cardiologist, University professor, Grade school or Secondary school professor, Engineer, Chemist, Procedural analyst, Researcher)<br />[] 3 Work in a technical, administrative, sporting or artistic field requiring an average level of qualification (Physiotherapist, Accountant, Electronic technician, Computer technician, Athlete, Elementary school teacher, Sales representative)<br />[] 4 Work as non-technical office worker (Clerk, Typist, Bank teller, Switchboard operator)<br />[] 5 Sale to the public or provide services to people (Sales clerk, Traffic policeman, Hairdresser, Cook, Waiter, Customs officer)<br />[] 6 Grow plants and/or raise animals (Farmer, Fruit grower, Cattle breeder)<br />[] 7 Work as specialized laborer (Mason, Mechanic, Air Conditioning technician, Shoemaker, Taylor, Carpenter)<br />[] 8 Work on fixed manufacturing systems, machinery, assembly lines or drive vehicles (Fork lift driver, Assembly of electronic equipment, Truck driver, Taxi driver)<br />[] 9 Work as laborer or non-specialized service (Farmhand, Janitor, Building laborer, Domestic servant, Mailman, Concierge, Porter, Travelling salesman)</div><br /></svar> Italy 2001: Persons age 15+ and worked for paid jobs [discrepancies: none] 00 Work as officer, non-commissioned officer, cadet or volunteer in the Armed Forces - Army, Navy, Air Force, Carabinieri (Lieutenant General, Colonel Medical Corp, Sargent, Carabinieri cadet) 01 Direct business or manage the work of complex organizational structures (Businessman, public or private Manager, Head of clinical, Schoolmaster, Merchant) 02 Work in an organizational, technical, intellectual, scientific or artistic field requiring a high level of qualification (Cardiologist, University professor, Grade school or Secondary school professor, Engineer, Chemist, Procedural analyst, Researcher) 03 Work in a technical, administrative, sporting or artistic field requiring an average level of qualification (Physiotherapist, Accountant, Electronic technician, Computer technician, Athlete, Elementary school teacher, Sales representative) 04 Work as non-technical office worker (Clerk, Typist, Bank teller, Switchboard operator) 05 Sale to the public or provide services to people (Sales clerk, Traffic policeman, Hairdresser, Cook, Waiter, Customs officer) 06 Grow plants and/or raise animals (Farmer, Fruit grower, Cattle breeder) 07 Work as specialized laborer (Mason, Mechanic, Air Conditioning technician, Shoemaker, Taylor, Carpenter) 08 Work on fixed manufacturing systems, machinery, assembly lines or drive vehicles (Fork lift driver, Assembly of electronic equipment, Truck driver, Taxi driver) 09 Work as laborer or non-specialized service (Farmhand, Janitor, Building laborer, Domestic servant, Mailman, Concierge, Porter, Travelling salesman) 99 NIU (not in universe) This variable indicates the person's occupation during the week preceding the Census (October 14 to 20, 2001). IPUMS Industry <svar v="IT01A437 IT01A438 IT01A439 IT01A440 IT01A441 IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="em">Persons over 15 years of age must answer questions starting from point 6.<br />Persons under 15 years of age must answer questions starting from point 8.</span><br /><br />[Questions 6.1-7.12 were asked of persons over 15 years of age.]<br /></svar></p> <p><svar v="IT01A442 IT01A443 IT01A444 IT01A445 IT01A446 IT01A447 IT01A448 IT01A449 IT01A450 IT01A451"><span class="h3">7. Work activity</span><br />[Questions 7.1 to 7.12 were asked of those who worked one or more hours of paid work, or as contributing family worker.] <br /><br /><span class="em">To answer questions from 7.1 to 7.12, refer to the main work activities (activities where the greater number of hours were worked)</span><br /></svar></p> <p><svar a="all" v="IT01A451"><span class="em">7.11 Indicate the sector to which pertain the exclusive or main activities of the plant, office, organization, farm, shop, professional office, etc. where the person works or which he owns.</span><br /><div class="i1">(Examples of economic activities are provided in parenthesis for some of the answers.)<br /><br /><span class="em">Agriculture and Fishing</span><br />[] 01 Agriculture, hunting and forestry<br />[] 02 Fishing, fish-breeding and related services<br />Industry<br />[] 03 Extraction of coal, crude petroleum, minerals, etc<br />[] 04 Food, drink and tobacco industry<br />[] 05 Textile, clothing, fur and leather industry<br />[] 06 Wood, wood products (except furniture), paper, press and publishing industry<br />[] 07 Cookery, refinery, chemical and pharmaceutical industry, rubber and plastics industry<br />[] 08 Processing of non-metallic minerals (cement, glass, ceramics)<br />[] 09 Iron and steel industry, engineering industry, electronics industry and manufacture of transportation vehicles<br />[] 10 Furniture manufacture and other manufacturing industries including recuperation and preparation for recycling<br />[] 11 Production and distribution of electricity, water and gas<br /><br /><span class="em">Construction and System Installation</span><br />[] 12 Building construction, public works and installation of services in buildings<br /><br /><span class="em">Commerce, repairs, public practices, transportation and communications</span><br />[] 13 Commerce, maintenance and repair of vehicles and motorcycles, sale of traction fuel<br />[] 14 Wholesale trade, and sales representatives, except for vehicles and motorcycles<br />[] 15 Retail sales, except vehicles and motorcycles, repair of personal goods and goods for the house<br />[] 16 Hotels, camping areas, bars, restaurants, etc<br />[] 17 Transportation (public and private), warehousing, post and telecommunications<br /><br /><span class="em">Banking, insurance and other production and/or consumer services</span><br />[] 18 Bank, insurance, monetary and financial brokerage<br />[] 19 Computer and related activities, research and development<br />[] 20 Professional consulting activities, real estate and rentals (legal, planning, market, accounting offices, surveillance, cleaning)<br /><br /><span class="em">Social and people services</span><br />[] 21 Central and local public administration (e.g. Ministries, ANAS, regional, provincial, municipal administrations, mandatory social security)<br />[] 22 Public and private education and training (including schools, colleges and military academies)<br />[] 23 Health and public and private social assistance (pubic and military hospitals, doctor studios, out patients clinics, rest homes)<br />[] 24 Political and union member organizations (Italian Manufacturer's Association, Chamber of Commerce)<br />[] 25 Recreational, cultural and sports activities (cinema, museums)<br />[] 26 Other service oriented activities (dry cleaners, beauty salons, parking, garbage collection)<br />[] 27 Live-in domestic help (in this sector belong, for example, domestic helpers, baby-sitters, drivers, custodians, gardeners)<br /><br /><span class="em">International organizations and organizations of other countries</span><br />[] 28 Extra-territorial organizations and representations (UN, FAO, Embassies in Italy)</div><br /></svar> Italy 2001: Persons age 15+ and worked for paid jobs [discrepancies: none] 01 Agriculture, hunting and forestry 02 Fishing, fish-breeding and related services 03 Extraction of coal, crude petroleum, minerals, etc 04 Food, drink and tobacco industry 05 Textile, clothing, fur and leather industry 06 Wood, wood products (except furniture), paper, press and publishing industry 07 Cookery, refinery, chemical and pharmaceutical industry, rubber and plastics industry 08 Processing of non-metalliferous minerals (cement, glass, ceramics) 09 Iron and steel industry, engineering industry, electronics industry and manufacture of transportation vehicles 10 including recuperation and preparation for recycling 11 Production and distribution of electricity, water and gas 12 Building construction, public works and installation of services in buildings 13 Commerce, maintenance and repair of vehicles and motorcycles, sale of traction fuel 14 Wholesale trade, and sales representatives, except for vehicles and motorcycles 15 Retail sales, except vehicles and motorcycles, repair of personal goods and goods for the house 16 Hotels, camping areas, bars, restaurants, etc 17 Transportation (public and private), warehousing, post and telecommunications 18 Bank, insurance, monetary and financial brokerage 19 Computer and related activities, research and development 20 Professional consulting activities, real estate and rentals (legal, planning, market, accounting offices, surveillance, cleaning) 21 Central and local public administration (e.g 22 Public and private education and training (including schools, colleges and military academies) 23 Health and public and private social assistance (pubic and military hospitals, doctor studios, out patients clinics, rest homes) 24 Political and union member organizations (Italian Manufacturer's Association, Chamber of Commerce) 25 Recreational, cultural and sports activities (cinema, museums) 26 Other service oriented activities (dry cleaners, beauty salons, parking, garbage collection) 27 Live-in domestic help (in this sector belong, for example, domestic helpers, baby-sitters, drivers, custodians, gardeners) 28 International organizations and organizations of other countries Extra-territorial organizations and representations (UN, FAO, Embassies in Italy) 99 NIU (not in universe) This variable indicates the person's industry during the week preceding the Census (October 14 to 20, 2001). IPUMS Travel daily to place of study or work <svar a="all" v="IT01A452"><span class="em">8.1 Indicate whether the person leaves his/her dwelling everyday to reach the place of study or work</span><br /><div class="i1">[] 1 Yes, he/she reaches the place of study (including kindergarten, nursery school and professional training course [Go to question 8.2.]<br />[] 2 Yes, he/she reaches the place of work [Go to question 8.2.]<br />[] 3 No, because he/she studies at home [The questionnaire terminates here.]<br />[] 4 No, because he/she works at home [The questionnaire terminates here.]<br />[] 5 No, because he/she does not have a steady work place (travelling salesman, representatives, etc) [The questionnaire terminates here.]<br />[] 6 No, because he/she does not work, study nor attend professional [The questionnaire terminates here.]</div><br /></svar> Italy 2001: Persons in private households [discrepancies: none] 1 Yes, he/she reaches the place of study (including kindergarten, nursery school and professional training course 2 Yes, he/she reaches the place of work 3 No, because he/she studies at home 4 No, because he/she works at home 5 No, because he/she does not have a steady work place (travelling salesman, representatives, etc) 6 No, because he/she does not work, study nor attend professional 8 Unknown 9 NIU (not in universe) This variable indicates whether the person goes everyday out of his/her accommodation to reach the place of study or work. IPUMS From which accommodation the person goes out to reach the place of study or work <svar a="all" v="IT01A453"><span class="em">8.2 Indicate from which dwelling the person goes out to reach the place of study or work</span><br /><div class="i1">[Question 8.2 was asked of those who went everyday out of their dwelling to reach the place of study or work.]<br /><br />[] 1 From the current dwelling [answer question 8.3]<br />[] 2 From a dwelling other than this [the questionnaire terminates here]</div><br /></svar> Italy 2001: Persons who usually live in the dwelling and goes out from their accommodation to reach the place of work or study [discrepancies: none] 1 From the accommodation 2 From accommodation other than this 9 NIU (not in universe) This variable indicates from which accommodation the person goes out to reach the place of study or work. IPUMS Re-enters from his/her usual place of study or work to the accommodation every day <svar a="all" v="IT01A454"><span class="em">If from the accommodation</span><br /><span class="em">8.3 Indicate whether the person re-enters from his/her usual place of study or work to the dwelling every day</span><br /><div class="i1">[Question 8.3 was asked of those who went out of the current dwelling.]<br /><br />[] 1 Yes<br />[] 2 No [the questionnaire terminates here]</div><br /></svar> Italy 2001: Persons who usually live in the dwelling and goes out from the current accommodation to reach the place of work or study [discrepancies: none] 1 Yes 2 No 9 NIU (not in universe) This variable indicates whether the person re-enters from his/her usual place of study or work to the accommodation every day. IPUMS Usual place of study or work <svar a="all" v="IT01A455 IT01A456 IT01A457"><span class="em">8.4 Write out the full name and address of the usual place of study or work</span><br /><div class="i1">[Question 8.4 was asked of those who went out of and re-entered the current dwelling]<br /><br />(Working students must indicate the name and address of their place of work. Anyone working on a means of transportation (drivers, rail and tram workers, pilots, maritime workers, etc) must indicate the name and address of the location where he/she enters on duty (parking area, station, deposit, airport, port, etc.))<br /><br />________ Name of school, company, office, organization, etc.<br />________ Address of school, company, office, organization, etc.<br /><br />[] 1 In this municipality<br />[] 2 In another Italian municipality</div><br /><div class="i2">Indicate which municipality ________<br />Specify the abbreviation for the province ________</div><br /><div class="i1">[] 3 Abroad</div><br /><div class="i2">Indicate which foreign country ____</div><br /></svar> Italy 2001: Persons who re-entered the current accommodations everyday [discrepancies: none] 1 In this Municipality 2 In another Italian Municipality of the same Province 3 In another Province of the same Region 4 In another Region 5 Abroad 9 NIU (not in universe) This variable indicates the person's usual place of study or work. IPUMS Region of usual place of study or work <svar a="all" v="IT01A455 IT01A456 IT01A457"><span class="em">8.4 Write out the full name and address of the usual place of study or work</span><br /><div class="i1">[Question 8.4 was asked of those who went out of and re-entered the current dwelling]<br /><br />(Working students must indicate the name and address of their place of work. Anyone working on a means of transportation (drivers, rail and tram workers, pilots, maritime workers, etc) must indicate the name and address of the location where he/she enters on duty (parking area, station, deposit, airport, port, etc.))<br /><br />________ Name of school, company, office, organization, etc.<br />________ Address of school, company, office, organization, etc.<br /><br />[] 1 In this municipality<br />[] 2 In another Italian municipality</div><br /><div class="i2">Indicate which municipality ________<br />Specify the abbreviation for the province ________</div><br /><div class="i1">[] 3 Abroad</div><br /><div class="i2">Indicate which foreign country ____</div><br /></svar> Italy 2001: Persons whose usual place of study or work is in another municipality [discrepancies: none] 01 Piedmont 03 Lombardy 04 Trentino-Alto Adije 05 Veneto 06 Friuli-Venezia Giulia 07 Liguria 08 Emilia-Romagna 09 Tuscany 10 Umbria 11 Marche 12 Lazio 13 Abruzzo 14 Molise 15 Campania 16 Apulia 17 Basilicata 18 Calabria 19 Sicily 20 Sardinia 99 NIU (not in universe) This variable indicates the person's region of usual place of study or work. IPUMS Continent of usual place of study or work <svar a="all" v="IT01A455 IT01A456 IT01A457"><span class="em">8.4 Write out the full name and address of the usual place of study or work</span><br /><div class="i1">[Question 8.4 was asked of those who went out of and re-entered the current dwelling]<br /><br />(Working students must indicate the name and address of their place of work. Anyone working on a means of transportation (drivers, rail and tram workers, pilots, maritime workers, etc) must indicate the name and address of the location where he/she enters on duty (parking area, station, deposit, airport, port, etc.))<br /><br />________ Name of school, company, office, organization, etc.<br />________ Address of school, company, office, organization, etc.<br /><br />[] 1 In this municipality<br />[] 2 In another Italian municipality</div><br /><div class="i2">Indicate which municipality ________<br />Specify the abbreviation for the province ________</div><br /><div class="i1">[] 3 Abroad</div><br /><div class="i2">Indicate which foreign country ____</div><br /></svar> Italy 2001: Persons whose usual place of study/work is abroad [discrepancies: none] 01 European Union 15 02 Countries newly added to European Union 03 Central-Eastern Europe 04 Other European Countries 99 NIU (not in universe) This variable indicates the person's continent of usual place of study or work. IPUMS Hour person left the house for his/her usual place of study or work <svar v="IT01A458 IT01A459 IT01A460"><span class="em">Persons who went to their usual place of study or work on Wednesday of last week have to answer questions 8.5, 8.6 and 8.7</span><br />[Questions 8.5 to 8.7 were asked of persons who went to their usual place of study or work on Wednesday of last week.]<br /></svar></p> <p><svar a="all" v="IT01A458 IT01A459"><span class="em">8.5 Indicate at what time the person left the house for his/her usual place of study or work.</span><br /><div class="i1">_ _ : _ _ hours:minutes (e.g. 07:30)</div><br /></svar> Italy 2001: Persons in private households who went to their usual place of study or work on Wednesday of last week 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 99 NIU (not in universe) This variable indicates the time (in hours) that the person left the house for his/her usual place of study or work. IPUMS Minute person left the house for his/her usual place of study or work <svar v="IT01A458 IT01A459 IT01A460"><span class="em">Persons who went to their usual place of study or work on Wednesday of last week have to answer questions 8.5, 8.6 and 8.7</span><br />[Questions 8.5 to 8.7 were asked of persons who went to their usual place of study or work on Wednesday of last week.]<br /></svar></p> <p><svar a="all" v="IT01A458 IT01A459"><span class="em">8.5 Indicate at what time the person left the house for his/her usual place of study or work.</span><br /><div class="i1">_ _ : _ _ hours:minutes (e.g. 07:30)</div><br /></svar> Italy 2001: Persons who went to their usual place of study or work on Wednesday of last week [universe: unverifiable] 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 99 NIU (not in universe) This variable indicates the time (in minutes) that the person left the house for his/her usual place of study or work. IPUMS Time to go to the usual place of study or work (one way) <svar v="IT01A458 IT01A459 IT01A460"><span class="em">Persons who went to their usual place of study or work on Wednesday of last week have to answer questions 8.5, 8.6 and 8.7</span><br />[Questions 8.5 to 8.7 were asked of persons who went to their usual place of study or work on Wednesday of last week.]<br /></svar></p> <p><svar a="all" v="IT01A460"><span class="em">8.6 Indicate the time it takes (one way) to go to the usual place of study or work</span><br /><div class="i1">(If the person accompanied children to school before going to work or place of study, consider the overall time it takes)<br /><br />[] 1 Up to 15 minutes<br />[] 2 From 16 to 30 minutes<br />[] 3 From 31 to 45 minutes<br />[] 4 From 46 to 60 minutes<br />[] 5 Over 60 minutes</div><br /></svar> Italy 2001: Persons who went to their usual place of study or work on Wednesday of last week [universe: unverifiable] 1 Up to 15 minutes 2 From 16 to 30 minutes 3 From 31 to 45 minutes 4 From 46 to 60 minutes 5 Over 60 minutes 9 NIU (not in universe) This variable indicates the time it takes to go to the usual place of study or work (one way). IPUMS Means of transportation used to cover the longest stretch of your trip to the usual place of study or work <svar v="IT01A458 IT01A459 IT01A460"><span class="em">Persons who went to their usual place of study or work on Wednesday of last week have to answer questions 8.5, 8.6 and 8.7</span><br />[Questions 8.5 to 8.7 were asked of persons who went to their usual place of study or work on Wednesday of last week.]<br /></svar></p> <p><svar a="all" v="IT01A460"><span class="em">8.7 Indicate the means of transportation used to cover the longest stretch (in terms of distance and not time) of your trip from the accommodation to the usual place of study or work</span><br /><div class="i1">[] 01 Train<br />[] 02 Tram<br />[] 03 Subway<br />[] 04 City bus, trolley bus<br />[] 05 Bus, suburban bus line<br />[] 06 Company or school bus<br />[] 07 Private Automobile (as driver)<br />[] 08 Private Automobile (as passenger)<br />[] 09 Motorcycle, moped, scooter<br />[] 10 Bicycle<br />[] 11 Other means (boat, cable car, etc.)<br />[] 12 By foot</div><br /></svar> Italy 2001: Persons who went to their usual place of study or work on Wednesday of last week [universe: unverifiable] 01 Train 02 Tram 03 Subway 04 City bus, trolley bus 05 Bus, suburban bus line 06 Company or school bus 07 Private Automobile (as driver) 08 Private Automobile (as passenger) 09 Motorcycle, moped, scooter 10 Bicycle 11 Other means (boat, cable cat, etc.) 12 By foot 99 NIU (not in universe) This variable indicates the means of transportation used to cover the longest stretch of your trip from the accommodation to the usual place of study or work. IPUMS Occupied Italy 2001: Persons in private households [discrepancies: none] 1 No 2 Yes 9 NIU (not in universe) This variable indicates whether the person is occupied. IPUMS