Population Census; Building and Housing Census 2001 DDI_AUT_2001_PHC_v01_M_v7.6_A_IPUMS IPUMS

Integrated Public Use Microdata Series (IPUMS) International

IPUMS April 1, 2025 IPUMS, 50 Willey Hall, 225 - 19th Avenue South, Minneapolis, MN 55455 Organization for Economic Co-operation and Development, Development Co-operation Directorate JADE#:60525;MEHLB(2010)12 IPUMS Version 7.6 October 2025 : NEW FEATURES. --NO "new features" listed in Revision History NEW SAMPLES. --Six new census samples for Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017) were added to the data series. All census samples extend pre-existing series for those countries. --91 quarterly labor force surveys from the Philippines (1997 - 2019) were added to IPUMS. SUPPLEMENTAL DATA. --No "supplemental data" listed in revision history NEW VARIABLES. --New spatially harmonized birthplace and previous-residence variables are available for samples in this data release. More information is available here (https://international.ipums.org/international/geo_mig.shtml). --Users should note that many older migration and birthplace variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables. For birthplace variables refer to this table (https://international.ipums.org/international/resources/misc_docs/migCrosswalk_names.pdf). EDITED SAMPLES. --For the Zambia 2000 sample, an error in the household breaks was corrected, resulting in the creation of 1,988 new households (1% increase) that were previously combined with other households. The person records included in the sample did not change. Due to an inconsistency in the original file, no household-level information other than geographic location is available for these newly identified households, necessitating the addition of "unknown" values for this sample to the following variables: BEDROOMS, ELECTRIC, FLOOR, FUELCOOK, FUELHEAT, OWNERSHIP, PHONE, RADIO, REFRIG, ROOMS, SEWAGE, TRASH, WATSRC, TV, TOILET, GQ, ROOF, WATSUP, BIKE, MOTORCYCLE, KITCHEN, GQTYPE, AUTOS, and WALL. EDITED VARIABLES. --For the 1998 and 2008 Malawi samples, the family interrelationship pointer variables MOMLOC and POPLOC were modified to allow a "Spouse/partner" of the household head to be linked as a parent to an "Other relative", because the enumeration instructions specify that adopted and stepchildren were categorized as "Other relative". These samples are now consistent with the links made in the newly released 2018 Malawi sample, which had the same enumeration instructions for adopted and stepchildren. --In the samples for Côte d'Ivoire 1988 and 1998, Rwanda 1991 and 2002, Togo 1960 and 2010, and South Africa 2001, for the harmonized variable POLYGAM, persons in consensual unions were previously coded as "No, in monogamous union". Because there was no response option in these samples for polygamous consensual unions, it is more appropriate to treat these cases as not-in-universe, so they have been recoded to "NIU (not in universe)". --MARST has been edited for Honduras 1974 to reclassify the source variable responses "married, wife lives separately" and "consensual union, companion lives separately" as separations. The documentation suggests that "separately" actually indicates a relationship separation and not an absent spouse or companion. Other minor edits were implemented for MARST for Mozambique 1997 and 2007. --In the Mozambique 1997 sample, an error was corrected that recoded persons with a relationship of "Unknown" in the source data to "Other relative or non-relative" (6000) in the harmonized variable RELATE. These persons are now coded as "Not Stated/Unknown" (9999). --In the Malawi 1987, 1998, and 2008 samples, for variable WATSUP, a programming error was corrected such that any households who reported having piped water in either the wet or the dry season are classified as having access to piped water. This programming was also applied to the newly released 2018 sample. --The NATIVITY variable has been edited in the Chile 2017 sample to correct a programming error that mistakenly classified as foreign-born about 20 thousand person records that were actually native-born. --The MIGRATE5 variable has been edited in the Chile 2017 sample, given a programming error that classified most migrants as having changed their major geographic unit. The MIGRATE5 variable for the Chile 1982 and 1992 samples has been edited to use spatially harmonized geographic units to calculate migration status. --In the 1989, 1999, and 2009 Kenya samples, households who indicated that their lighting type or fuel was "Solar" were recoded from "No" to "Yes" in ELECTRIC, based on secondary sources documenting the spread of home solar energy systems in Kenya beginning in the mid-1980s. In the 1989 and 1999 Kenya samples, programming was removed that previously recoded households that reported using electricity as their main cooking fuel to "Yes" in the access to electricity variable ELECTRIC, making it more consistent across samples. Other minor edits were implemented for ELECTRIC in Botswana 2011, Ethiopia 1984 and 1994, Mongolia 1989, Mozambique 2007. --Some samples in DISCARE classified responses indicating "some" difficulty into "yes". These cases were revised to consistently include in "yes" only responses indicating "a lot of difficulty" or "cannot do at all". --Some codes were improperly labeled for municipalities in Honduras 1961 and 1974, which affect variables on place of residence, birthplace, and previous residence. Population Census; Building and Housing Census 2001 - IPUMS Subset PHC at2001a (IPUMS Harmonized Subset) AUT_2001_PHC_v01_M_v7.6_A_IPUMS Statistics Austria IPUMS (c) Copyright 2001, Statistics Austria and Minnesota Population Center Statistics Austria Population and Housing Census [hh/popcen] IPUMS International DOI:10.18128/D020.V7.6 Version 7.6. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-International database. Demographic Variables -- PERSON Dwelling Characteristics Variables -- HOUSEHOLD Geography: Global Variables -- HOUSEHOLD Nativity and Birthplace Variables -- PERSON Fertility and Mortality Variables -- PERSON Work Variables -- PERSON Technical Household Variables -- HOUSEHOLD Education Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON Utilities Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Technical Person Variables -- PERSON Ethnicity and Language Variables -- PERSON Group Quarters Variables -- HOUSEHOLD Constructed Household Variables -- HOUSEHOLD Household Economic Variables -- HOUSEHOLD Technical Household Variables -- HOUSEHOLD Dwelling Characteristics Variables -- HOUSEHOLD Utilities Variables -- HOUSEHOLD Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Geography: A-E Variables -- HOUSEHOLD Technical Person Variables -- PERSON Demographic Variables -- PERSON Nativity and Birthplace Variables -- PERSON Ethnicity and Language Variables -- PERSON Education Variables -- PERSON Work Variables -- PERSON Work: Occupation Variables -- PERSON Work: Industry Variables -- PERSON Other Person Variables -- PERSON Fertility and Mortality Variables -- PERSON Constructed Family Interrelationship Variables -- PERSON May 15, 2001 Austria Eurostat NUTS3 region (Nomenclature of Territorial Units for Statistics) Persons, households, and dwellings UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: yes UNIT DESCRIPTIONS: - Dwellings: A dwelling (housing unit) is defined as a room or suite of rooms and its accessories (at least a kitchen or a kitchenette). - Households: A household is comprised of all persons that live with one another and keep a common home economy together. (Household personnel also belong to the household if they are provided room and board.) A household can also consist of one person living alone. Other occupants (e.g. subtenants) that manage their own home economy can fill out their own census lists. If a household lives divided across several housing units, all household members are nevertheless recorded in one single census list. - Group quarters: Group quarters are defined as institutions for the purpose of (long-term) inhabitation and provision of institutionalised care given to a group of persons. Such institutions are one of the following: dormitories of educational institutions, old people' and nursing homes, religious institutions, military installations, correctional and penal institutions, refugee camps etc. Only one type of institutional household: those of inmates. Population with a main residence in the territory Population and Housing Census [hh/popcen] Additional notes on a sample that is part of this study: Austria 2001 MICRODATA SOURCE: Statistics Austria SAMPLE SIZE (person records): 883878. SAMPLE DESIGN: Systematic sample of every 10th private household after a random start; 100% data of institutional households; drawn by Statistics Austria Face-to-face [f2f] For every enumeration unit the same form was used all over the country de jure, CENSUS DAY: May 15, 2001 Self-weighting. Expansion factor=10 IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. IPUMS International works with each country's statistical office to minimize the risk of disclosure of respondent information. The details of the confidentiality protections vary across countries, but in all cases, names and detailed geographic information are suppressed and top-codes are imposed on variables such as income that might identify specific persons. In addition, IPUMS International uses a variety of technical procedures to enhance confidentiality protection. These include the following: (1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible. (2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed. (3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories) (4) Top- and bottom-coding continuous variables to prevent identification of extreme cases. The safety record for public-use census microdata is apparently perfect. In almost four decades of use, there has not been a single verified breach of statistical confidentiality. The measures implemented by the IPUMS International are designed to extend this record. Statistics Austria Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee, and Nate Merrill. Integrated Public Use Microdata Series, International: Version 7.6 [dataset]. Minneapolis, MN: IPUMS, 2025. https://doi.org/10.18128/D020.V7.6 Researchers should also acknowledge the statistical agency that originally produced the data: Austria, Statistics Austria. Population Census; Building and Housing Census 2001 The licensing agreement for use of IPUMS International data requires that users supply IPUMS International with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Copies of such materials are also gratefully received at ipums@umn.edu. Printed matter should be sent to: IPUMS International Minnesota Population Center University of Minnesota 50 Willey Hall 225 19th Avenue South Minneapolis, MN 55455 An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https://international.ipums.org/international/) under the following conditions: IPUMS International distributes integrated microdata of individuals and households only by agreement of collaborating national statistical offices and under the strictest of confidence. Before data may be distributed to an individual researcher, an electronic license agreement must be signed and approved. To gain access to the data, a researcher must agree to the following: (1) Implement security measures to prevent unauthorized access to census microdata. Under IPUMS International agreements with collaborating agencies, redistribution of the data to third parties is prohibited. (2) Use the microdata for the exclusive purposes of scholarly research and education. Researchers must explicitly agree to not use microdata acquired for any commercial or income-generating venture. (3) Maintain the confidentiality of persons, households, and other entities. Any attempt to ascertain the identity of persons or households from the microdata is prohibited. Alleging that a person or household has been identified is also prohibited. (4) Report all publications based on these data to IPUMS International, which will in turn pass the information on to the relevant national statistical agencies. Once a project is approved, a password is issued and data may be acquired through the Internet. Penalties for violating the license include: revocation of the license, recall of all microdata acquired, filing of a motion of censure to the appropriate professional organizations, and civil prosecution under the relevant national or international statutes. These safeguards mirror the principles from the Joint ECE/Eurostat Work Session on Statistical Data Confidentiality. Employees of the Minnesota Population Center who work with the census microdata to produce the harmonized database also sign agreements to respect the confidentiality of the data. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. User-provided description: DOI:10.18128/D020.V7.6 Extract for at2001a, 2025 AUT2001_PHC-H-H.dat Household records 341,035 ascii Minnesota Population Center Version 7.5, IPUMS sample AUT2001_PHC-P-H.dat Person records 883878 ascii Minnesota Population Center Version 7.5, IPUMS sample Record type RECTYPE identifies the type of record for the case: household or person. NOTE: RECTYPE is an alphabetic (character string) variable with a value of 'H' for household records and 'P' for person records. RECTYPE will not appear as a variable in the default rectangular extracts produced by the data extract system. It is only available in hierarchical extracts, to distinguish between the two record types. H Household P Person Technical Household Variables -- HOUSEHOLD Country COUNTRY gives the country from which the sample was drawn. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization). 032 Argentina 051 Armenia 040 Austria 050 Bangladesh 112 Belarus 204 Benin 068 Bolivia 072 Botswana 076 Brazil 854 Burkina Faso 116 Cambodia 120 Cameroon 124 Canada 152 Chile 156 China 170 Colombia 188 Costa Rica 192 Cuba 208 Denmark 214 Dominican Republic 218 Ecuador 818 Egypt 222 El Salvador 231 Ethiopia 242 Fiji 246 Finland 250 France 276 Germany 288 Ghana 300 Greece 320 Guatemala 324 Guinea 332 Haiti 340 Honduras 348 Hungary 352 Iceland 356 India 360 Indonesia 364 Iran 368 Iraq 372 Ireland 376 Israel 380 Italy 384 Côte d'Ivoire 388 Jamaica 400 Jordan 404 Kenya 417 Kyrgyz Republic 418 Laos 426 Lesotho 430 Liberia 454 Malawi 458 Malaysia 466 Mali 480 Mauritius 484 Mexico 496 Mongolia 504 Morocco 508 Mozambique 104 Myanmar 524 Nepal 528 Netherlands 558 Nicaragua 566 Nigeria 578 Norway 586 Pakistan 275 Palestine 591 Panama 598 Papua New Guinea 600 Paraguay 604 Peru 608 Philippines 616 Poland 620 Portugal 630 Puerto Rico 642 Romania 643 Russia 646 Rwanda 662 Saint Lucia 686 Senegal 694 Sierra Leone 703 Slovak Republic 705 Slovenia 710 South Africa 728 South Sudan 724 Spain 729 Sudan 740 Suriname 752 Sweden 756 Switzerland 834 Tanzania 764 Thailand 768 Togo 780 Trinidad and Tobago 792 Turkey 800 Uganda 804 Ukraine 826 United Kingdom 840 United States 858 Uruguay 862 Venezuela 704 Vietnam 894 Zambia 716 Zimbabwe Technical Household Variables -- HOUSEHOLD Year YEAR gives the year in which the census or survey was taken. For samples that span years, the midpoint or first year of the interval is reported. 1703 1703 1729 1729 1787 1787 1801 1801 1819 1819 1845 1845 1848 1848 1850 1850 1851 1851 1852 1852 1860 1860 1861 1861 1865 1865 1868 1868 1870 1870 1871 1871 1875 1875 1880 1880 1881 1881 1885 1885 1890 1890 1891 1891 1900 1900 1901 1901 1910 1910 1911 1911 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1966 1966 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 Technical Household Variables -- HOUSEHOLD IPUMS sample identifier SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 9-digit code. The code is structured as follows: The first 3 digits are the ISO/UN codes used in COUNTRY The next 4 digits are the year of the census/survey The final 2 digits identify the sample within the year. For the last two digits, censuses or large census-like surveys have a value "0" (e.g, 01) in the second-to-last digit, household surveys have a value of "2" (e.g., 21), and employment surveys have a value of "4" (e.g., 41). 032197001 Argentina 1970 032198001 Argentina 1980 032199101 Argentina 1991 032200101 Argentina 2001 032201001 Argentina 2010 051200101 Armenia 2001 051201101 Armenia 2011 040197101 Austria 1971 040198101 Austria 1981 040199101 Austria 1991 040200101 Austria 2001 040201101 Austria 2011 050199101 Bangladesh 1991 050200101 Bangladesh 2001 050201101 Bangladesh 2011 112199901 Belarus 1999 112200901 Belarus 2009 204197901 Benin 1979 204199201 Benin 1992 204200201 Benin 2002 204201301 Benin 2013 068197601 Bolivia 1976 068199201 Bolivia 1992 068200101 Bolivia 2001 068201201 Bolivia 2012 072198101 Botswana 1981 072199101 Botswana 1991 072200101 Botswana 2001 072201101 Botswana 2011 076196001 Brazil 1960 076197001 Brazil 1970 076198001 Brazil 1980 076199101 Brazil 1991 076200001 Brazil 2000 076201001 Brazil 2010 854198501 Burkina Faso 1985 854199601 Burkina Faso 1996 854200601 Burkina Faso 2006 116199801 Cambodia 1998 116200401 Cambodia 2004 116200801 Cambodia 2008 116201301 Cambodia 2013 116201901 Cambodia 2019 120197601 Cameroon 1976 120198701 Cameroon 1987 120200501 Cameroon 2005 124185201 Canada 1852 124187101 Canada 1871 124188101 Canada 1881 124189101 Canada 1891 124190101 Canada 1901 124191101 Canada 1911 124197101 Canada 1971 124198101 Canada 1981 124199101 Canada 1991 124200101 Canada 2001 124201101 Canada 2011 152196001 Chile 1960 152197001 Chile 1970 152198201 Chile 1982 152199201 Chile 1992 152200201 Chile 2002 152201701 Chile 2017 156198201 China 1982 156199001 China 1990 156200001 China 2000 170196401 Colombia 1964 170197301 Colombia 1973 170198501 Colombia 1985 170199301 Colombia 1993 170200501 Colombia 2005 188196301 Costa Rica 1963 188197301 Costa Rica 1973 188198401 Costa Rica 1984 188200001 Costa Rica 2000 188201101 Costa Rica 2011 192200201 Cuba 2002 192201201 Cuba 2012 208178701 Denmark 1787 208180101 Denmark 1801 208184501 Denmark 1845 208188001 Denmark 1880 208188501 Denmark 1885 214196001 Dominican Republic 1960 214197001 Dominican Republic 1970 214198101 Dominican Republic 1981 214200201 Dominican Republic 2002 214201001 Dominican Republic 2010 218196201 Ecuador 1962 218197401 Ecuador 1974 218198201 Ecuador 1982 218199001 Ecuador 1990 218200101 Ecuador 2001 218201001 Ecuador 2010 818184801 Egypt 1848 818186801 Egypt 1868 818198601 Egypt 1986 818199601 Egypt 1996 818200601 Egypt 2006 222199201 El Salvador 1992 222200701 El Salvador 2007 231198401 Ethiopia 1984 231199401 Ethiopia 1994 231200701 Ethiopia 2007 242196601 Fiji 1966 242197601 Fiji 1976 242198601 Fiji 1986 242199601 Fiji 1996 242200701 Fiji 2007 242201401 Fiji 2014 246201001 Finland 2010 250196201 France 1962 250196801 France 1968 250197501 France 1975 250198201 France 1982 250199001 France 1990 250199901 France 1999 250200601 France 2006 250201101 France 2011 276181901 Germany 1819 (Mecklenburg) 276197001 Germany 1970 (West) 276197101 Germany 1971 (East) 276198101 Germany 1981 (East) 276198701 Germany 1987 (West) 288198401 Ghana 1984 288200001 Ghana 2000 288201001 Ghana 2010 300197101 Greece 1971 300198101 Greece 1981 300199101 Greece 1991 300200101 Greece 2001 300201101 Greece 2011 320196401 Guatemala 1964 320197301 Guatemala 1973 320198101 Guatemala 1981 320199401 Guatemala 1994 320200201 Guatemala 2002 324198301 Guinea 1983 324199601 Guinea 1996 324201401 Guinea 2014 332197101 Haiti 1971 332198201 Haiti 1982 332200301 Haiti 2003 340196101 Honduras 1961 340197401 Honduras 1974 340198801 Honduras 1988 340200101 Honduras 2001 340201301 Honduras 2013 348197001 Hungary 1970 348198001 Hungary 1980 348199001 Hungary 1990 348200101 Hungary 2001 348201101 Hungary 2011 352170301 Iceland 1703 352172901 Iceland 1729 352180101 Iceland 1801 352190101 Iceland 1901 352191001 Iceland 1910 356198341 India 1983 356198741 India 1987 356199341 India 1993 356199941 India 1999 356200441 India 2004 356200941 India 2009 360197101 Indonesia 1971 360197601 Indonesia 1976 360198001 Indonesia 1980 360198501 Indonesia 1985 360199001 Indonesia 1990 360199501 Indonesia 1995 360200001 Indonesia 2000 360200501 Indonesia 2005 360201001 Indonesia 2010 364200601 Iran 2006 364201101 Iran 2011 368199701 Iraq 1997 372190101 Ireland 1901 372191101 Ireland 1911 372197101 Ireland 1971 372197901 Ireland 1979 372198101 Ireland 1981 372198601 Ireland 1986 372199101 Ireland 1991 372199601 Ireland 1996 372200201 Ireland 2002 372200601 Ireland 2006 372201101 Ireland 2011 372201601 Ireland 2016 376197201 Israel 1972 376198301 Israel 1983 376199501 Israel 1995 376200801 Israel 2008 380200101 Italy 2001 380201101 Italy 2011 380201121 Italy 2011 Q1 LFS 380201221 Italy 2012 Q1 LFS 380201321 Italy 2013 Q1 LFS 380201421 Italy 2014 Q1 LFS 380201521 Italy 2015 Q1 LFS 380201621 Italy 2016 Q1 LFS 380201721 Italy 2017 Q1 LFS 380201821 Italy 2018 Q1 LFS 380201921 Italy 2019 Q1 LFS 380202021 Italy 2020 Q1 LFS 384198801 Côte d'Ivoire 1988 384199801 Côte d'Ivoire 1998 388198201 Jamaica 1982 388199101 Jamaica 1991 388200101 Jamaica 2001 400200401 Jordan 2004 404196901 Kenya 1969 404197901 Kenya 1979 404198901 Kenya 1989 404199901 Kenya 1999 404200901 Kenya 2009 404201901 Kenya 2019 417199901 Kyrgyz Republic 1999 417200901 Kyrgyz Republic 2009 418199501 Laos 1995 418200501 Laos 2005 418201501 Laos 2015 426199601 Lesotho 1996 426200601 Lesotho 2006 430197401 Liberia 1974 430200801 Liberia 2008 454198701 Malawi 1987 454199801 Malawi 1998 454200801 Malawi 2008 454201801 Malawi 2018 458197001 Malaysia 1970 458198001 Malaysia 1980 458199101 Malaysia 1991 458200001 Malaysia 2000 466198701 Mali 1987 466199801 Mali 1998 466200901 Mali 2009 480199001 Mauritius 1990 480200001 Mauritius 2000 480201101 Mauritius 2011 484196001 Mexico 1960 484197001 Mexico 1970 484199001 Mexico 1990 484199501 Mexico 1995 484200001 Mexico 2000 484200501 Mexico 2005 484201001 Mexico 2010 484201501 Mexico 2015 484202001 Mexico 2020 484200521 Mexico 2005 Q1 LFS 484200522 Mexico 2005 Q2 LFS 484200523 Mexico 2005 Q3 LFS 484200524 Mexico 2005 Q4 LFS 484200621 Mexico 2006 Q1 LFS 484200622 Mexico 2006 Q2 LFS 484200623 Mexico 2006 Q3 LFS 484200624 Mexico 2006 Q4 LFS 484200721 Mexico 2007 Q1 LFS 484200722 Mexico 2007 Q2 LFS 484200723 Mexico 2007 Q3 LFS 484200724 Mexico 2007 Q4 LFS 484200821 Mexico 2008 Q1 LFS 484200822 Mexico 2008 Q2 LFS 484200823 Mexico 2008 Q3 LFS 484200824 Mexico 2008 Q4 LFS 484200921 Mexico 2009 Q1 LFS 484200922 Mexico 2009 Q2 LFS 484200923 Mexico 2009 Q3 LFS 484200924 Mexico 2009 Q4 LFS 484201021 Mexico 2010 Q1 LFS 484201022 Mexico 2010 Q2 LFS 484201023 Mexico 2010 Q3 LFS 484201024 Mexico 2010 Q4 LFS 484201121 Mexico 2011 Q1 LFS 484201122 Mexico 2011 Q2 LFS 484201123 Mexico 2011 Q3 LFS 484201124 Mexico 2011 Q4 LFS 484201221 Mexico 2012 Q1 LFS 484201222 Mexico 2012 Q2 LFS 484201223 Mexico 2012 Q3 LFS 484201224 Mexico 2012 Q4 LFS 484201321 Mexico 2013 Q1 LFS 484201322 Mexico 2013 Q2 LFS 484201323 Mexico 2013 Q3 LFS 484201324 Mexico 2013 Q4 LFS 484201421 Mexico 2014 Q1 LFS 484201422 Mexico 2014 Q2 LFS 484201423 Mexico 2014 Q3 LFS 484201424 Mexico 2014 Q4 LFS 484201521 Mexico 2015 Q1 LFS 484201522 Mexico 2015 Q2 LFS 484201523 Mexico 2015 Q3 LFS 484201524 Mexico 2015 Q4 LFS 484201621 Mexico 2016 Q1 LFS 484201622 Mexico 2016 Q2 LFS 484201623 Mexico 2016 Q3 LFS 484201624 Mexico 2016 Q4 LFS 484201721 Mexico 2017 Q1 LFS 484201722 Mexico 2017 Q2 LFS 484201723 Mexico 2017 Q3 LFS 484201724 Mexico 2017 Q4 LFS 484201821 Mexico 2018 Q1 LFS 484201822 Mexico 2018 Q2 LFS 484201823 Mexico 2018 Q3 LFS 484201824 Mexico 2018 Q4 LFS 484201921 Mexico 2019 Q1 LFS 484201922 Mexico 2019 Q2 LFS 484201923 Mexico 2019 Q3 LFS 484201924 Mexico 2019 Q4 LFS 484202021 Mexico 2020 Q1 LFS 484202023 Mexico 2020 Q3 LFS 496198901 Mongolia 1989 496200001 Mongolia 2000 496201001 Mongolia 2010 496202001 Mongolia 2020 504198201 Morocco 1982 504199401 Morocco 1994 504200401 Morocco 2004 504201401 Morocco 2014 508199701 Mozambique 1997 508200701 Mozambique 2007 508201701 Mozambique 2017 104201401 Myanmar 2014 524200101 Nepal 2001 524201101 Nepal 2011 528196001 Netherlands 1960 528197101 Netherlands 1971 528200101 Netherlands 2001 528201101 Netherlands 2011 558197101 Nicaragua 1971 558199501 Nicaragua 1995 558200501 Nicaragua 2005 566200621 Nigeria 2006 566200721 Nigeria 2007 566200821 Nigeria 2008 566200921 Nigeria 2009 566201021 Nigeria 2010 578180101 Norway 1801 578186501 Norway 1865 578187501 Norway 1875 578190001 Norway 1900 578191001 Norway 1910 586197301 Pakistan 1973 586198101 Pakistan 1981 586199801 Pakistan 1998 275199701 Palestine 1997 275200701 Palestine 2007 275201701 Palestine 2017 591196001 Panama 1960 591197001 Panama 1970 591198001 Panama 1980 591199001 Panama 1990 591200001 Panama 2000 591201001 Panama 2010 598198001 Papua New Guinea 1980 598199001 Papua New Guinea 1990 598200001 Papua New Guinea 2000 600196201 Paraguay 1962 600197201 Paraguay 1972 600198201 Paraguay 1982 600199201 Paraguay 1992 600200201 Paraguay 2002 604199301 Peru 1993 604200701 Peru 2007 604201701 Peru 2017 608199721 Philippines 1997 Q1 LFS 608199722 Philippines 1997 Q2 LFS 608199723 Philippines 1997 Q3 LFS 608199724 Philippines 1997 Q4 LFS 608199821 Philippines 1998 Q1 LFS 608199822 Philippines 1998 Q2 LFS 608199823 Philippines 1998 Q3 LFS 608199824 Philippines 1998 Q4 LFS 608199921 Philippines 1999 Q1 LFS 608199922 Philippines 1999 Q2 LFS 608199923 Philippines 1999 Q3 LFS 608199924 Philippines 1999 Q4 LFS 608200021 Philippines 2000 Q1 LFS 608200022 Philippines 2000 Q2 LFS 608200023 Philippines 2000 Q3 LFS 608200024 Philippines 2000 Q4 LFS 608200121 Philippines 2001 Q1 LFS 608200122 Philippines 2001 Q2 LFS 608200123 Philippines 2001 Q3 LFS 608200124 Philippines 2001 Q4 LFS 608200221 Philippines 2002 Q1 LFS 608200222 Philippines 2002 Q2 LFS 608200223 Philippines 2002 Q3 LFS 608200224 Philippines 2002 Q4 LFS 608200321 Philippines 2003 Q1 LFS 608200322 Philippines 2003 Q2 LFS 608200323 Philippines 2003 Q3 LFS 608200324 Philippines 2003 Q4 LFS 608200421 Philippines 2004 Q1 LFS 608200422 Philippines 2004 Q2 LFS 608200423 Philippines 2004 Q3 LFS 608200424 Philippines 2004 Q4 LFS 608200521 Philippines 2005 Q1 LFS 608200522 Philippines 2005 Q2 LFS 608200523 Philippines 2005 Q3 LFS 608200524 Philippines 2005 Q4 LFS 608200621 Philippines 2006 Q1 LFS 608200622 Philippines 2006 Q2 LFS 608200623 Philippines 2006 Q3 LFS 608200624 Philippines 2006 Q4 LFS 608200721 Philippines 2007 Q1 LFS 608200722 Philippines 2007 Q2 LFS 608200723 Philippines 2007 Q3 LFS 608200724 Philippines 2007 Q4 LFS 608200821 Philippines 2008 Q1 LFS 608200822 Philippines 2008 Q2 LFS 608200823 Philippines 2008 Q3 LFS 608200824 Philippines 2008 Q4 LFS 608200921 Philippines 2009 Q1 LFS 608200922 Philippines 2009 Q2 LFS 608200923 Philippines 2009 Q3 LFS 608200924 Philippines 2009 Q4 LFS 608201021 Philippines 2010 Q1 LFS 608201022 Philippines 2010 Q2 LFS 608201023 Philippines 2010 Q3 LFS 608201024 Philippines 2010 Q4 LFS 608201121 Philippines 2011 Q1 LFS 608201122 Philippines 2011 Q2 LFS 608201123 Philippines 2011 Q3 LFS 608201124 Philippines 2011 Q4 LFS 608201221 Philippines 2012 Q1 LFS 608201222 Philippines 2012 Q2 LFS 608201223 Philippines 2012 Q3 LFS 608201224 Philippines 2012 Q4 LFS 608201321 Philippines 2013 Q1 LFS 608201322 Philippines 2013 Q2 LFS 608201323 Philippines 2013 Q3 LFS 608201324 Philippines 2013 Q4 LFS 608201421 Philippines 2014 Q1 LFS 608201422 Philippines 2014 Q2 LFS 608201423 Philippines 2014 Q3 LFS 608201424 Philippines 2014 Q4 LFS 608201521 Philippines 2015 Q1 LFS 608201522 Philippines 2015 Q2 LFS 608201523 Philippines 2015 Q3 LFS 608201524 Philippines 2015 Q4 LFS 608201621 Philippines 2016 Q1 LFS 608201622 Philippines 2016 Q2 LFS 608201623 Philippines 2016 Q3 LFS 608201624 Philippines 2016 Q4 LFS 608201721 Philippines 2017 Q1 LFS 608201722 Philippines 2017 Q2 LFS 608201723 Philippines 2017 Q3 LFS 608201724 Philippines 2017 Q4 LFS 608201821 Philippines 2018 Q1 LFS 608201822 Philippines 2018 Q2 LFS 608201823 Philippines 2018 Q3 LFS 608201824 Philippines 2018 Q4 LFS 608201921 Philippines 2019 Q1 LFS 608201922 Philippines 2019 Q2 LFS 608201923 Philippines 2019 Q3 LFS 608199001 Philippines 1990 608199501 Philippines 1995 608200001 Philippines 2000 608201001 Philippines 2010 616197801 Poland 1978 616198801 Poland 1988 616200201 Poland 2002 616201101 Poland 2011 620198101 Portugal 1981 620199101 Portugal 1991 620200101 Portugal 2001 620201101 Portugal 2011 630197001 Puerto Rico 1970 630198001 Puerto Rico 1980 630199001 Puerto Rico 1990 630200001 Puerto Rico 2000 630200501 Puerto Rico 2005 630201001 Puerto Rico 2010 630201501 Puerto Rico 2015 630202001 Puerto Rico 2020 642197701 Romania 1977 642199201 Romania 1992 642200201 Romania 2002 642201101 Romania 2011 643200201 Russia 2002 643201001 Russia 2010 646199101 Rwanda 1991 646200201 Rwanda 2002 646201201 Rwanda 2012 662198001 Saint Lucia 1980 662199101 Saint Lucia 1991 686198801 Senegal 1988 686200201 Senegal 2002 686201301 Senegal 2013 694200401 Sierra Leone 2004 694201501 Sierra Leone 2015 703199101 Slovak Republic 1991 703200101 Slovak Republic 2001 703201101 Slovak Republic 2011 705200201 Slovenia 2002 710199601 South Africa 1996 710200101 South Africa 2001 710200701 South Africa 2007 710201101 South Africa 2011 710201601 South Africa 2016 728200801 South Sudan 2008 724198101 Spain 1981 724199101 Spain 1991 724200101 Spain 2001 724201101 Spain 2011 724200521 Spain 2005 Q1 LFS 724200522 Spain 2005 Q2 LFS 724200523 Spain 2005 Q3 LFS 724200524 Spain 2005 Q4 LFS 724200621 Spain 2006 Q1 LFS 724200622 Spain 2006 Q2 LFS 724200623 Spain 2006 Q3 LFS 724200624 Spain 2006 Q4 LFS 724200721 Spain 2007 Q1 LFS 724200722 Spain 2007 Q2 LFS 724200723 Spain 2007 Q3 LFS 724200724 Spain 2007 Q4 LFS 724200821 Spain 2008 Q1 LFS 724200822 Spain 2008 Q2 LFS 724200823 Spain 2008 Q3 LFS 724200824 Spain 2008 Q4 LFS 724200921 Spain 2009 Q1 LFS 724200922 Spain 2009 Q2 LFS 724200923 Spain 2009 Q3 LFS 724200924 Spain 2009 Q4 LFS 724201021 Spain 2010 Q1 LFS 724201022 Spain 2010 Q2 LFS 724201023 Spain 2010 Q3 LFS 724201024 Spain 2010 Q4 LFS 724201121 Spain 2011 Q1 LFS 724201122 Spain 2011 Q2 LFS 724201123 Spain 2011 Q3 LFS 724201124 Spain 2011 Q4 LFS 724201221 Spain 2012 Q1 LFS 724201222 Spain 2012 Q2 LFS 724201223 Spain 2012 Q3 LFS 724201224 Spain 2012 Q4 LFS 724201321 Spain 2013 Q1 LFS 724201322 Spain 2013 Q2 LFS 724201323 Spain 2013 Q3 LFS 724201324 Spain 2013 Q4 LFS 724201421 Spain 2014 Q1 LFS 724201422 Spain 2014 Q2 LFS 724201423 Spain 2014 Q3 LFS 724201424 Spain 2014 Q4 LFS 724201521 Spain 2015 Q1 LFS 724201522 Spain 2015 Q2 LFS 724201523 Spain 2015 Q3 LFS 724201524 Spain 2015 Q4 LFS 724201621 Spain 2016 Q1 LFS 724201622 Spain 2016 Q2 LFS 724201623 Spain 2016 Q3 LFS 724201624 Spain 2016 Q4 LFS 724201721 Spain 2017 Q1 LFS 724201722 Spain 2017 Q2 LFS 724201723 Spain 2017 Q3 LFS 724201724 Spain 2017 Q4 LFS 724201821 Spain 2018 Q1 LFS 724201822 Spain 2018 Q2 LFS 724201823 Spain 2018 Q3 LFS 724201824 Spain 2018 Q4 LFS 724201921 Spain 2019 Q1 LFS 724201922 Spain 2019 Q2 LFS 724201923 Spain 2019 Q3 LFS 724201924 Spain 2019 Q4 LFS 724202021 Spain 2020 Q1 LFS 724202022 Spain 2020 Q2 LFS 724202023 Spain 2020 Q3 LFS 724202024 Spain 2020 Q4 LFS 729200801 Sudan 2008 740200401 Suriname 2004 740201201 Suriname 2012 752188001 Sweden 1880 752189001 Sweden 1890 752190001 Sweden 1900 752191001 Sweden 1910 756197001 Switzerland 1970 756198001 Switzerland 1980 756199001 Switzerland 1990 756200001 Switzerland 2000 756201101 Switzerland 2011 834198801 Tanzania 1988 834200201 Tanzania 2002 834201201 Tanzania 2012 764197001 Thailand 1970 764198001 Thailand 1980 764199001 Thailand 1990 764200001 Thailand 2000 768196001 Togo 1960 768197001 Togo 1970 768201001 Togo 2010 780197001 Trinidad and Tobago 1970 780198001 Trinidad and Tobago 1980 780199001 Trinidad and Tobago 1990 780200001 Trinidad and Tobago 2000 780201101 Trinidad and Tobago 2011 792198501 Turkey 1985 792199001 Turkey 1990 792200001 Turkey 2000 800199101 Uganda 1991 800200201 Uganda 2002 800201401 Uganda 2014 804200101 Ukraine 2001 826185101 United Kingdom 1851 (England and Wales) 826185102 United Kingdom 1851 (Scotland) 826185103 United Kingdom 1851 (2% sample) 826186101 United Kingdom 1861 (England and Wales) 826186102 United Kingdom 1861 (Scotland) 826187101 United Kingdom 1871 (Scotland) 826188101 United Kingdom 1881 (England and Wales) 826188102 United Kingdom 1881 (Scotland) 826189101 United Kingdom 1891 (England and Wales) 826189102 United Kingdom 1891 (Scotland) 826190101 United Kingdom 1901 (England and Wales) 826190102 United Kingdom 1901 (Scotland) 826191101 United Kingdom 1911 (England and Wales) 826196101 United Kingdom 1961 826197101 United Kingdom 1971 826199101 United Kingdom 1991 826200101 United Kingdom 2001 840185001 United States 1850 (100%) 840185002 United States 1850 (1%) 840186001 United States 1860 (1%) 840187001 United States 1870 (1%) 840188001 United States 1880 (100%) 840188002 United States 1880 (10%) 840190001 United States 1900 (5%) 840191001 United States 1910 (1%) 840196001 United States 1960 840197001 United States 1970 840198001 United States 1980 840199001 United States 1990 840200001 United States 2000 840200501 United States 2005 840201001 United States 2010 840201501 United States 2015 840202001 United States 2020 858196301 Uruguay 1963 858196302 Uruguay 1963 (full count) 858197501 Uruguay 1975 858197502 Uruguay 1975 (full count) 858198501 Uruguay 1985 858198502 Uruguay 1985 (full count) 858199601 Uruguay 1996 858199602 Uruguay 1996 (full count) 858200621 Uruguay 2006 858201101 Uruguay 2011 858201102 Uruguay 2011 (full count) 862197101 Venezuela 1971 862198101 Venezuela 1981 862199001 Venezuela 1990 862200101 Venezuela 2001 704198901 Vietnam 1989 704199901 Vietnam 1999 704200901 Vietnam 2009 704201901 Vietnam 2019 894199001 Zambia 1990 894200001 Zambia 2000 894201001 Zambia 2010 716201201 Zimbabwe 2012 Technical Household Variables -- HOUSEHOLD Household serial number SERIAL is an identifying number unique to each household in a given sample. All person records are assigned the same serial number as the household record that they follow. (Person records also have their own unique identifiers -- see PERNUM.) The combination of SAMPLE and SERIAL provides a unique identifier for every household in the IPUMS-International database; SAMPLE, SERIAL and PERNUM uniquely identify every person in the database. SERIAL can be used to identify dwellings in some samples. In these samples, the first 7 digits of SERIAL provide the dwelling number common to all households that were sampled from the same structure. The last three digits give the sequence of the household within the dwelling. The following is a list of samples in which dwellings can be inferred: Chile 1970, 1992, 2002Colombia 1993, 2005Costa Rica 1984, 2000Cuba 2002Dominican Republic 1981, 2002, 2010Ecuador 1990, 2001Germany 1971Hungary 1980, 1990, 2001Jamaica 1982, 1991, 2001Malaysia 1970, 1991, 2000Mexico 1995, 1990, 2000, 2005Nigeria 2006Panama 2000Peru 1993, 2007Portugal 1981, 1991, 2001Spain 1991Uruguay 2011Venezuela 1990, 2001Vietnam 1989In all other samples, the last 3 digits are always zeroes. SERIAL was constructed for IPUMS-International, and has no relation to the serial number in the original datasets. The U.S. 1900 sample and 1880 10% sample have multi-household dwellings that can be identified using the last 3 digits of SERIAL. SERIAL is a 10-digit numeric variable. The last 3 digits of SERIAL indicate household number within dwelling for selected samples noted in the variable description. In all other samples, the last 3 digits are always zeroes. Technical Household Variables -- HOUSEHOLD Number of person records in the household PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons. PERSONS is a 4-digit numeric variable. Technical Household Variables -- HOUSEHOLD Household weight HHWT indicates the number of households in the population represented by the household in the sample. For the samples that are truly weighted (see the comparability discussion), HHWT must be used to yield accurate household-level statistics. NOTE: HHWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Household Variables -- HOUSEHOLD Subsample number SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples. 00 1st 1% subsample 01 2nd 1% subsample 02 3rd 1% subsample 03 4th 1% subsample 04 5th 1% subsample 05 6th 1% subsample 06 7th 1% subsample 07 8th 1% subsample 08 9th 1% subsample 09 10th 1% subsample 10 11th 1% subsample 11 12th 1% subsample 12 13th 1% subsample 13 14th 1% subsample 14 15th 1% subsample 15 16th 1% subsample 16 17th 1% subsample 17 18th 1% subsample 18 19th 1% subsample 19 20th 1% subsample 20 21st 1% subsample 21 22nd 1% subsample 22 23rd 1% subsample 23 24th 1% subsample 24 25th 1% subsample 25 26th 1% subsample 26 27th 1% subsample 27 28th 1% subsample 28 29th 1% subsample 29 30th 1% subsample 30 31st 1% subsample 31 32nd 1% subsample 32 33rd 1% subsample 33 34th 1% subsample 34 35th 1% subsample 35 36th 1% subsample 36 37th 1% subsample 37 38th 1% subsample 38 39th 1% subsample 39 40th 1% subsample 40 41st 1% subsample 41 42nd 1% subsample 42 43rd 1% subsample 43 44th 1% subsample 44 45th 1% subsample 45 46th 1% subsample 46 47th 1% subsample 47 48th 1% subsample 48 49th 1% subsample 49 50th 1% subsample 50 51st 1% subsample 51 52nd 1% subsample 52 53rd 1% subsample 53 54th 1% subsample 54 55th 1% subsample 55 56th 1% subsample 56 57th 1% subsample 57 58th 1% subsample 58 59th 1% subsample 59 60th 1% subsample 60 61st 1% subsample 61 62nd 1% subsample 62 63rd 1% subsample 63 64th 1% subsample 64 65th 1% subsample 65 66th 1% subsample 66 67th 1% subsample 67 68th 1% subsample 68 69th 1% subsample 69 70th 1% subsample 70 71st 1% subsample 71 72nd 1% subsample 72 73rd 1% subsample 73 74th 1% subsample 74 75th 1% subsample 75 76th 1% subsample 76 77th 1% subsample 77 78th 1% subsample 78 79th 1% subsample 79 80th 1% subsample 80 81st 1% subsample 81 82nd 1% subsample 82 83rd 1% subsample 83 84th 1% subsample 84 85th 1% subsample 85 86th 1% subsample 86 87th 1% subsample 87 88th 1% subsample 88 89th 1% subsample 89 90th 1% subsample 90 91st 1% subsample 91 92nd 1% subsample 92 93rd 1% subsample 93 94th 1% subsample 94 95th 1% subsample 95 96th 1% subsample 96 97th 1% subsample 97 98th 1% subsample 98 99th 1% subsample 99 100th 1% subsample Technical Household Variables -- HOUSEHOLD Donated household HHDONATE identifies households that were donated during the IPUMS data editing process. 0 Not donated 1 Donated Technical Household Variables -- HOUSEHOLD Strata identifier This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation. STRATA is a 12-digit numeric variable. Technical Household Variables -- HOUSEHOLD Group quarters (collective dwelling) status GQ identifies households as vacant dwellings, group quarters, or private households. Group quarters -- collective dwellings -- are generally institutions and other group living arrangements such as rooming houses and boarding schools. Institutions often retain persons under formal supervision or custody, such as correctional institutions, military barracks, asylums, or nursing homes. Educational and religious group dwellings (e.g., boarding schools, convents, monasteries, etc.) are also included in the institutional classification. Group quarter designations are often useful for understanding the universe of households that answered questions about household characteristics. Censuses will often exclude group quarters from such questions. 00 Vacant 10 Households 20 Group quarters (collective), n.s. 21 Institutions 22 Other group quarters 29 1-person unit created by splitting large household 99 Unknown/group quarters not identified Group Quarters Variables -- HOUSEHOLD Number of unrelated persons UNREL indicates the number of persons in the household who are unrelated to the head as defined in the variable RELATE. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9+ Group Quarters Variables -- HOUSEHOLD Continent and region of country REGIONW identifies the continent and region of each country. 11 Eastern Africa 12 Middle Africa 13 Northern Africa 14 Southern Africa 15 Western Africa 21 Caribbean 22 Central America 23 North America 24 South America 31 Central Asia 32 Eastern Asia 33 Southern Asia 34 South-Eastern Asia 35 Western Asia 41 Eastern Europe 42 Northern Europe 43 Southern Europe 44 Western Europe 51 Australia and New Zealand 52 Melanesia 53 Micronesia 54 Polynesia Geography: Global Variables -- HOUSEHOLD 1st subnational geographic level, world [consistent boundaries over time] GEOLEV1 indicates the major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. First administrative units in GEOLEV1 have been spatiotemporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV1 is a 6-digit numeric variable. GEOLEV1 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO1_BR. Geography: Global Variables -- HOUSEHOLD 2nd subnational geographic level, world [consistent boundaries over time] GEOLEV2 indicates the second major administrative unit in which the household was enumerated. The variable incorporates the geographies for every country, to enable cross-national geographic analysis over time. Second administrative units in GEOLEV2 have been spatio-temporally harmonized to provide spatially consistent boundaries across samples in each country. GEOLEV2 is a 9-digit numeric variable. GEOLEV2 codes and labels can be found here. Codes, labels, frequencies, and information about boundary changes for each country can be found in the country specific harmonized variable e.g. GEO2_BR. Geography: Global Variables -- HOUSEHOLD Nomenclature of Territorial Units for Statistics 1, Europe 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. 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 Geography: Global Variables -- HOUSEHOLD Nomenclature of Territorial Units for Statistics 2, Europe 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. 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 Geography: Global Variables -- HOUSEHOLD Nomenclature of Territorial Units for Statistics 3, Europe ENUTS3 identifies the Nomenclature of Territorial Units for Statistics (NUTS) within Europe in which the household was enumerated. NUTS3 is the third 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. ENUTS3 corresponds to the 2010 version of NUTS3 released by Eurostat. The code labels include the standard code for the NUTS3 system and the name of the NUTS3 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. 01111 AT111 / Mittelburgenland + AT113 / Südburgenland 01112 AT112 / Nordburgenland 01121 AT121 / Mostviertel-Eisenwurzen 01122 AT122 / Niederösterreich-Süd 01123 AT123 / Sankt Pölten 01124 AT124 / Waldviertel 01125 AT125 / Weinviertel 01126 AT126 / Wiener Umland/Nordteil 01127 AT127 / Wiener Umland/Südteil 01130 AT130 / Wien 01211 AT211 / Klagenfurt-Villach 01212 AT212 / Oberkärnten 01213 AT213 / Unterkärnten 01221 AT221 / Graz 01222 AT222 / Liezen 01223 AT223 / Östliche Obersteiermark 01224 AT224 / Oststeiermark 01225 AT225 / West- und Südsteiermark 01226 AT226 / Westliche Obersteiermark 01311 AT311 / Innviertel 01312 AT312 / Linz-Wels 01313 AT313 / Mühlviertel 01314 AT314 / Steyr-Kirchdorf 01315 AT315 / Traunviertel 01321 AT321 / Lungau + AT322 / Pinzgau-Pongau 01323 AT323 / Salzburg und Umgebung 01331 AT331 / Außerfern + AT334 / Tiroler Oberland 01332 AT332 / Innsbruck 01333 AT333 / Osttirol + AT335 / Tiroler Unterland 01341 AT341 / Bludenz-Bregenzer Wald 01342 AT342 / Rheintal-Bodenseegebiet 09111 ES111 / A Coruña 09112 ES112 / Lugo 09113 ES113 / Ourense 09114 ES114 / Pontevedra 09120 ES120 / Asturias 09130 ES130 / Cantabria 09211 ES211 / Álava 09212 ES212 / Guipúzcoa 09213 ES213 / Vizcaya 09220 ES220 / Navarra 09230 ES230 / La Rioja 09241 ES241 / Huesca 09242 ES242 / Teruel 09243 ES243 / Zaragoza 09300 ES300 / Madrid 09411 ES411 / Ávila 09412 ES412 / Burgos 09413 ES413 / León 09414 ES414 / Palencia 09415 ES415 / Salamanca 09416 ES416 / Segovia 09417 ES417 / Soria 09418 ES418 / Valladolid 09419 ES419 / Zamora 09421 ES421 / Albacete 09422 ES422 / Ciudad Real 09423 ES423 / Cuenca 09424 ES424 / Guadalajara 09425 ES425 / Toledo 09431 ES431 / Badajoz 09432 ES432 / Cáceres 09511 ES511 / Barcelona 09512 ES512 / Girona 09513 ES513 / Lleida 09514 ES514 / Tarragona 09521 ES521 / Alicante/Alacant 09522 ES522 / Castellón/Castelló 09523 ES523 / Valencia/València 09532 ES532 / Mallorca + ES533 / Menorca + ES531 / Eivissa y Formentera 09611 ES611 / Almería 09612 ES612 / Cádiz 09613 ES613 / Córdoba 09614 ES614 / Granada 09615 ES615 / Huelva 09616 ES616 / Jaén 09617 ES617 / Málaga 09618 ES618 / Sevilla 09620 ES620 / Murcia 09630 ES630 / Ceuta 09640 ES640 / Melilla 09705 ES705 / Gran Canaria + ES704 / Fuerteventura + ES708 / Lanzarote 09709 ES709 / Tenerife + ES706 / La Gomera + ES707 / La Palma + ES703 / El Hierro 09999 ES / Unknown 12111 EL111 / Evros 12112 EL112 / Xanthi 12113 EL113 / Rodopi 12114 EL114 / Drama 12115 EL115 / Kavala 12121 EL121 / Imathia 12122 EL122 / Thessaloniki 12123 EL123 / Kilkis 12124 EL124 / Pella 12125 EL125 / Pieria 12126 EL126 / Serres 12127 EL127 / Chalkidiki and Aghion Oros 12131 EL131 / Grevena 12132 EL132 / Kastoria 12133 EL133 / Kozani 12134 EL134 / Florina 12141 EL141 / Karditsa 12142 EL142 / Larisa 12143 EL143 / Magnisia 12144 EL144 / Trikala 12211 EL211 / Arta 12212 EL212 / Thesprotia 12213 EL213 / Ioannina 12214 EL214 / Preveza 12221 EL221 / Zakynthos 12222 EL222 / Kerkyra 12223 EL223 / Kefallinia 12224 EL224 / Lefkada 12231 EL231 / Aitoloakarnania 12232 EL232 / Achaia 12233 EL233 / Ilia 12241 EL241 / Voiotia 12242 EL242 / Evvoia 12243 EL243 / Evrytania 12244 EL244 / Fthiotida 12245 EL245 / Fokida 12251 EL251 / Argolida 12252 EL252 / Arkadia 12253 EL253 / Korinthia 12254 EL254 / Lakonia 12255 EL255 / Messinia 12300 EL300 / Attiki 12411 EL411 / Lesvos 12412 EL412 / Samos 12413 EL413 / Chios 12421 EL421 / Dodekanissos 12422 EL422 / Kyklades 12431 EL431 / Iraklio 12432 EL432 / Lasithi 12433 EL433 / Rethymni 12434 EL434 / Chania 14011 IE011 / Border 14012 IE012 / Midlands 14013 IE013 / West 14021 IE021 / Dublin 14022 IE022 / Mid-East 14023 IE023 / Mid-West 14024 IE024 / South-East 14025 IE025 / South-West 15311 ITC11 / Torino 15312 ITC12 / Vercelli 15313 ITC13 / Biella 15314 ITC14 / Verbano-Cusio-Ossola 15315 ITC15 / Novara 15316 ITC16 / Cuneo 15317 ITC17 / Asti 15318 ITC18 / Alessandria 15320 ITC20 / Aosta 15331 ITC31 / Imperia 15332 ITC32 / Savona 15333 ITC33 / Genova 15334 ITC34 / La Spezia 15341 ITC41 / Varese 15342 ITC42 / Como 15343 ITC43 / Lecco 15344 ITC44 / Sondrio 15346 ITC46 / Bergamo 15347 ITC47 / Brescia 15348 ITC48 / Pavia 15349 ITC49 / Lodi 15350 ITC4A / Cremona 15351 ITC4B / Mantova 15352 ITC4C / Milano 15353 ITC4D / Monza e della Brianza 15611 ITF11 / L'Aquila 15612 ITF12 / Teramo 15613 ITF13 / Pescara 15614 ITF14 / Chieti 15621 ITF21 / Isernia 15622 ITF22 / Campobasso 15631 ITF31 / Caserta 15632 ITF32 / Benevento 15633 ITF33 / Napoli 15634 ITF34 / Avellino 15635 ITF35 / Salerno 15643 ITF43 / Taranto 15644 ITF44 / Brindisi 15645 ITF45 / Lecce 15646 ITF46 / Foggia 15647 ITF47 / Bari 15648 ITF48 / Barletta-Andria-Trani 15651 ITF51 / Potenza 15652 ITF52 / Matera 15661 ITF61 / Cosenza 15662 ITF62 / Crotone 15663 ITF63 / Catanzaro 15664 ITF64 / Vibo Valentia 15665 ITF65 / Reggio di Calabria 15711 ITG11 / Trapani 15712 ITG12 / Palermo 15713 ITG13 / Messina 15714 ITG14 / Agrigento 15715 ITG15 / Caltanissetta 15716 ITG16 / Enna 15717 ITG17 / Catania 15718 ITG18 / Ragusa 15719 ITG19 / Siracusa 15733 Sud Sardegna 15725 ITG25 / Sassari 15726 ITG26 / Nuoro 15727 ITG27 / Cagliari 15728 ITG28 / Oristano 15729 ITG29 / Olbia-tempio 15730 ITG2A / Ogliastra 15731 ITG2B / Medio-campidano 15732 ITG2C / Carbonia-Iglesias 15810 ITH10 / Bolzano-Bozen 15820 ITH20 / Trento 15831 ITH31 / Verona 15832 ITH32 / Vicenza 15833 ITH33 / Belluno 15834 ITH34 / Treviso 15835 ITH35 / Venezia 15836 ITH36 / Padova 15837 ITH37 / Rovigo 15841 ITH41 / Pordenone 15842 ITH42 / Udine 15843 ITH43 / Gorizia 15844 ITH44 / Trieste 15851 ITH51 / Piacenza 15852 ITH52 / Parma 15853 ITH53 / Reggio nell'Emilia 15854 ITH54 / Modena 15855 ITH55 / Bologna 15856 ITH56 / Ferrara 15857 ITH57 / Ravenna 15858 ITH58 / Forlì-Cesena 15859 ITH59 / Rimini 15911 ITI11 / Massa-Carrara 15912 ITI12 / Lucca 15913 ITI13 / Pistoia 15914 ITI14 / Firenze 15915 ITI15 / Prato 15916 ITI16 / Livorno 15917 ITI17 / Pisa 15918 ITI18 / Arezzo 15919 ITI19 / Siena 15920 ITI1A / ELosseto 15921 ITI21 / Perugia 15922 ITI22 / Terni 15931 ITI31 / Pesaro e Urbino 15932 ITI32 / Ancona 15933 ITI33 / Macerata 15934 ITI34 / Ascoli Piceno 15935 ITI35 / Fermo 15941 ITI41 / Viterbo 15942 ITI42 / Rieti 15943 ITI43 / Roma 15944 ITI44 / Latina 15945 ITI45 / Frosinone 22111 PT111 / Minho-Lima 22112 PT112 / Cávado 22113 PT113 / Ave 22114 PT114 / ELande Porto 22115 PT115 / Tâmega 22116 PT116 / Entre Douro e Vouga 22117 PT117 / Douro 22118 PT118 / Alto Trás-os-Montes 22150 PT150 / Algarve 22161 PT161 / Baixo Vouga 22162 PT162 / Baixo Mondego 22163 PT163 / Pinhal Litoral 22165 PT165 / Dão-Lafões 22166 PT16B / Oeste 22167 PT16C / Médio Tejo 22169 PT164 / Pinhal Interior Norte + PT166 / Pinhal Interior Sul + PT167 / Serra da Estrela + PT168 / Beira Interior Norte + PT169 / Beira Interior Sul + PT16A / Cova da Beira 22171 PT171 / Grande Lisboa 22172 PT172 / Península de Setúbal 22185 PT185 / Lezíria do Tejo 22189 PT181 / Alentejo Litoral + PT182 / Alto Alentejo + PT183 / Alentejo Central + PT184 / Baixo Alentejo 22200 PT200 / Região Autónoma dos Açores 22300 PT300 / Região Autónoma da Madeira 23111 RO111 / Bihor 23112 RO112 / Bistrita Nasaud 23113 RO113 / Cluj 23114 RO114 / Maramures 23115 RO115 / Satu Mare 23116 RO116 / Salaj 23121 RO121 / Alba 23122 RO122 / Brasov 23123 RO123 / Covasna 23124 RO124 / Harghita 23125 RO125 / Mures 23126 RO126 / Sibiu 23211 RO211 / Bacau 23212 RO212 / Botosani 23213 RO213 / Iasi 23214 RO214 / Neamt 23215 RO215 / Suceava 23216 RO216 / Vaslui 23221 RO221 / Braila 23222 RO222 / Buzau 23223 RO223 / Constanta 23224 RO224 / Galati 23225 RO225 / Tulcea 23226 RO226 / Vrancea 23311 RO311 / Arges 23312 RO312 / Calarasi 23313 RO313 / Dimbovita 23314 RO314 / Giurgiu 23315 RO315 / Ialomita 23316 RO316 / Prahova 23317 RO317 / Teleorman 23321 RO321 / Bucuresti 23322 RO322 / Ilfov 23411 RO411 / Dolj 23412 RO412 / Gorj 23413 RO413 / Mehedinti 23414 RO414 / Olt 23415 RO415 / Valcea 23421 RO421 / Arad 23422 RO422 / Caras Severin 23423 RO423 / Hunedoara 23424 RO424 / Timis 25011 SI011 / Pomurska 25012 SI012 / Podravska 25013 SI013 / Koroka 25014 SI014 / Savinjska 25015 SI015 / Zasavska 25016 SI016 / Spodnjeposavska 25017 SI017 / Jugovzhodna Slovenija 25018 SI018 / Notranjsko-kraka 25021 SI021 / Osrednjeslovenska 25022 SI022 / Gorenjska 25023 SI023 / Gorika 25024 SI024 / Obalno-kraka 25999 SI / Unknown 26010 SK010 / Bratislavský kraj 26021 SK021 / Trnavský kraj 26022 SK022 / Trenčiansky kraj 26023 SK023 / Nitriansky kraj 26031 SK031 / Žilinský kraj 26032 SK032 / Banskobystrický kraj 26041 SK041 / Prešovský kraj 26042 SK042 / Košický kraj 34011 CH011 / Vaud 34012 CH012 / Valais 34013 CH013 / Geneva 34021 CH021 / Bern 34022 CH022 / Freiburg 34023 CH023 / Solothurn 34024 CH024 / Neuchatel 34025 CH025 / Jura 34031 CH031 / Basel-Stadt 34032 CH032 / Basel-Landschaft 34033 CH033 / Aargau 34040 CH040 / Zurich 34051 CH051 / Glarus 34052 CH052 / Schaffhausen 34053 CH053 / Appenzell Ausserrhoden + CH054 / Appenzell Innerrhoden 34055 CH055 / St. Gallen 34056 CH056 / Graubundun 34057 CH057 / Thurgau 34061 CH061 / Luzern 34062 CH062 / Uri 34063 CH063 / Schwyz 34064 CH064 / Obwalden 34065 CH065 / Nidwalden 34066 CH066 / Zug 34070 CH070 / Ticino 39100 TR100 / Istanbul 39211 TR211 / Tekirdag 39212 TR212 / Edirne 39213 TR213 / Kirklareli 39221 TR221 / Balikesir 39222 TR222 / Çanakkale 39310 TR310 / Izmir 39321 TR321 / Aydin 39322 TR322 / Denizli 39323 TR323 / Mugla 39331 TR331 / Manisa 39332 TR332 / Afyon 39333 TR333 / Kütahya 39334 TR334 / Usak 39411 TR411 / Bursa 39412 TR412 / Eskisehir 39413 TR413 / Bilecik 39421 TR421 / Kocaeli 39422 TR422 / Sakarya 39423 TR423 / Düzce 39424 TR424 / Bolu 39425 TR425 / Yalova 39510 TR510 / Ankara 39521 TR521 / Konya 39522 TR522 / Karaman 39611 TR611 / Antalya 39612 TR612 / Isparta 39613 TR613 / Burdur 39621 TR621 / Adana 39622 TR622 / Içel (Mersin) 39631 TR631 / Hatay 39632 TR632 / Kahramanmaras 39633 TR633 / Osmaniye 39711 TR711 / Kirikkale 39712 TR712 / Aksaray 39713 TR713 / Nigde 39714 TR714 / Nevsehir 39715 TR715 / Kirsehir 39721 TR721 / Kayseri 39722 TR722 / Sivas 39723 TR723 / Yozgat 39811 TR811 / Zonguldak 39812 TR812 / Karabük 39813 TR813 / Bartin 39821 TR821 / Kastamonu 39822 TR822 / Çankiri 39823 TR823 / Sinop 39831 TR831 / Samsun 39832 TR832 / Tokat 39833 TR833 / Çorum 39834 TR834 / Amasya 39901 TR901 / Trabzon 39902 TR902 / Ordu 39903 TR903 / Giresun 39904 TR904 / Rize 39905 TR905 / Artvin 39906 TR906 / Gümüshane 39910 TRA11 / Erzurum 39911 TRA12 / Erzincan 39912 TRA13 / Bayburt 39921 TRA21 / Agri 39922 TRA22 / Kars 39923 TRA23 / Igdir 39924 TRA24 / Ardahan 39931 TRB11 / Malatya 39932 TRB12 / Elazig 39933 TRB13 / Bingöl 39934 TRB14 / Tunceli 39941 TRB21 / Van 39942 TRB22 / Mus 39943 TRB23 / Bitlis 39944 TRB24 / Hakkari 39951 TRC11 / Gaziantep 39952 TRC12 / Adiyaman 39953 TRC13 / Kilis 39961 TRC21 / Sanliurfa 39962 TRC22 / Diyarbakir 39971 TRC31 / Mardin 39972 TRC32 / Batman 39973 TRC33 / Sirnak 39974 TRC34 / Siirt Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV1 unit, in persons per square kilometer POPDENSGEO1 indicates the population density in persons per square kilometer of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO1 is an 8-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Population density of GEOLEV2 unit, in persons per square kilometer POPDENSGEO2 indicates the population density in persons per square kilometer of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. POPDENSGEO2 is a 12-digit numeric variable listing the population density in persons per square kilometer. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV1 unit in square kilometers AREAMOLLWGEO1 indicates the area in square kilometers of the major administrative unit in which the household was enumerated. The major administrative unit of the household is identified by the GEOLEV1 variable. The area of units in GEOLEV1 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO1 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Area of GEOLEV2 unit in square kilometers AREAMOLLWGEO2 indicates the area in square kilometers of the second major administrative unit in which the household was enumerated. The second major administrative unit of the household is identified by the GEOLEV2 variable. The area of units in GEOLEV2 is calculated using Mollweide's equal area projection. For a full set of geography variables refer to IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level refer to GEOLEV1 and GEOLEV2. More information on IPUMS-International geography can be found here. AREAMOLLWGEO2 is a 10-digit numeric variable listing the area in square kilometers. Codes0 = Unknown. Geography: Global Variables -- HOUSEHOLD Austria, State 1971 - 2011 [Level 1; consistent boundaries, GIS] GEO1_AT identifies the household's state within Austria in all sample years. States are the first level administrative units of the country. GEO1_AT is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO1_AT can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Austria 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. 040011 Burgenland 040012 Niederösterreich 040013 Wien 040021 Kärnten 040022 Steiermark 040031 Oberösterreich 040032 Salzburg 040033 Tirol 040034 Vorarlberg Geography: A-E Variables -- HOUSEHOLD Austria, State 2001 [Level 1, GIS] GEO1_AT2001 identifies the household's state within Austria in 2001. States are the first level administrative units of the country. A GIS map (in shapefile format), corresponding to GEO1_AT2001 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Austria 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. 011 Burgenland 012 Niederösterreich 013 Wien 021 Kärnten 022 Steiermark 031 Oberösterreich 032 Salzburg 033 Tirol 034 Vorarlberg Geography: A-E Variables -- HOUSEHOLD Austria, Enuts 3 1971 - 2011 [Level 2; consistent boundaries, GIS] GEO2_AT identifies the household's ENUTS 3 within Austria in all sample years. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. We are using ENUTS 3 as the second level administrative units of the country, after states. GEO2_AT is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization. A GIS map (in shapefile format), corresponding to GEO2_AT can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Austria 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. 040011001 Mittelburgenland, Südburgenland 040011002 Nordburgenland 040012004 Mostviertel-Eisenwurzen 040012005 Niederösterreich-Süd 040012006 Sankt Pölten 040012007 Waldviertel 040012008 Weinviertel 040012009 Wiener Umland-Nordteil 040012010 Wiener Umland-Südteil 040013011 Wien 040021012 Klagenfurt-Villach 040021013 Oberkärnten 040021014 Unterkärnten 040022015 Graz 040022016 Liezen 040022017 Östliche Obersteiermark 040022018 Oststeiermark 040022019 West- und Südsteiermark 040022020 Westliche Obersteiermark 040031021 Innviertel 040031022 Linz-Wels 040031023 Mühlviertel 040031024 Steyr-Kirchdorf 040031025 Traunviertel 040032026 Lungau, Pinzgau-Pongau 040032028 Salzburg, Umgebung 040033029 Außerfern, Tiroler Oberland 040033030 Innsbruck 040033031 Osttirol, Tiroler Unterland 040034034 Bludenz-Bregenzer Wald 040034035 Rheintal-Bodenseegebiet Geography: A-E Variables -- HOUSEHOLD Austria, Enuts 3 2001 [Level 2, GIS] GEO2_AT2001 identifies the household's ENUTS 3 within Austria in 2001. The Nomenclature of Territorial Units for Statistics (NUTS) is a standard administrative division of the European Union, and was developed by the EU. We are using ENUTS 3 as the second level administrative units of the country, after states. A GIS map (in shapefile format), corresponding to GEO2_AT2001 can be downloaded from the GIS Boundary files page in the IPUMS International web site. The full set of geography variables for Austria 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. 011001 Mittelburgenland and Südburgenland 011002 Nordburgenland 012004 Mostviertel-Eisenwurzen 012005 Niederösterreich-Süd 012006 Sankt Pölten 012007 Waldviertel 012008 Weinviertel 012009 Wiener Umland-Nordteil 012010 Wiener Umland-Südteil 013011 Wien 021012 Klagenfurt-Villach 021013 Oberkärnten 021014 Unterkärnten 022015 Graz 022016 Liezen 022017 Östliche Obersteiermark 022018 Oststeiermark 022019 West- und Südsteiermark 022020 Westliche Obersteiermark 031021 Innviertel 031022 Linz-Wels 031023 Mühlviertel 031024 Steyr-Kirchdorf 031025 Traunviertel 032026 Lungau and Pinzgau-Pongau 032028 Salzburg und Umgebung 033029 Außerfern and Tiroler Oberland 033030 Innsbruck 033031 Osttirol and Tiroler Unterland 034034 Bludenz-Bregenzer Wald 034035 Rheintal-Bodenseegebiet Geography: A-E Variables -- HOUSEHOLD Ownership of dwelling [general version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 0 NIU (not in universe) 1 Owned 2 Not owned 9 Unknown Household Economic Variables -- HOUSEHOLD Ownership of dwelling [detailed version] OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation. 000 NIU (not in universe) 100 Owned 110 Owned, already paid 120 Owned, still paying 130 Owned, constructed 140 Owned, inherited 190 Owned, other 191 Owned, house 192 Owned, condominium 193 Apartment proprietor 194 Shared ownership 200 Not owned 210 Renting, not specified 211 Renting, government 212 Renting, local authority 213 Renting, parastatal 214 Renting, private 215 Renting, private company 216 Renting, individual 217 Renting, collective 218 Renting, joint state and individual 219 Renting, public subsidized 220 Renting, private subsidized 221 Renting, co-tenant 222 Renting, relative of tenant 223 Renting, cooperative 224 Renting, with a job or business 225 Renting, loan-backed habitation 226 Renting, mixed contract 227 Furnished dwelling 228 Sharecropping 230 Subletting 231 Rent to own 239 Renting, other 240 Occupied de facto/squatting 250 Free/usufruct (no cash rent) 251 Free, provided by employer 252 Free, without work or services 253 Free, provided by family or friend 254 Free, private 255 Free, public 256 Free, condemned 257 Free, other 260 Endowment, Waqf (Egypt historical) 290 Not owned, other 999 Unknown Household Economic Variables -- HOUSEHOLD Water supply WATSUP describes the physical means by which the housing unit receives its water. The primary distinction is whether or not the household had piped (running) water. 00 NIU (not in universe) 10 Yes, piped water 11 Piped inside dwelling 12 Piped, exclusively to this household 13 Piped, shared with other households 14 Piped outside the dwelling 15 Piped outside dwelling, in building 16 Piped within the building or plot of land 17 Piped outside the building or lot 18 Have access to public piped water 20 No piped water 99 Unknown Utilities Variables -- HOUSEHOLD Fuel for heating FUELHEAT indicates the main fuel source for heating the household. 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 Utilities Variables -- HOUSEHOLD Central heating HEAT indicates the type of heating in the dwelling: individual or collective central heating, non-central heating, or none. 0 NIU (not in universe) 1 No heating 2 Central heating, not specified 3 Collective central heating 4 Individual central heating 5 Other heating, not central 6 Heating, unspecified 7 No central heating/heating unknown 9 Unknown Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Number of rooms ROOMS indicates the number of rooms occupied by the housing unit. 00 Part of a room; no rooms 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Toilet TOILET indicates whether the household had access to a toilet and, in most cases, whether it was a flush toilet or other type of installation. 00 NIU (not in universe) 10 No toilet 11 No flush toilet 20 Have toilet, type not specified 21 Flush toilet 22 Non-flush, latrine 23 Non-flush, other and unspecified 99 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Year structure was built BUILTYR indicates the year in which construction was completed on the building in which the household resides. 0000 NIU (not in universe) 1870 1870 or earlier 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 Under construction 9999 Unknown Dwelling Characteristics Variables -- HOUSEHOLD Age of structure, coded from intervals AGESTRUCT2 gives the estimated age of the structure. 000 Less than 1 year old 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 99 100 100 101 101 102 102 103 103 104 104 105 105 106 106 107 107 108 108 109 109 110 110 111 111 112 112 113 113 114 114 115 115 116 116 117 117 118 118 119 119 120 120 121 121 122 122 123 123 124 124 125 125 126 126 127 127 128 128 129 129 130 130 131 131 132 132 133 133 134 134 135 135 136 136 137 137 138 138 139 139 140 140 141 141 142 142 143 143 144 144 145 145 146 146 147 147 148 148 149 149 150 150 151 151 152 152 153 153 154 154 155 155 156 156 157 157 158 158 159 159 160 160 161 161 162 162 163 163 164 164 165 165 166 166 167 167 168 168 169 169 170 170 171 171 172 172 173 173 174 174 175 175 176 176 177 177 178 178 179 179 180 180 181 181 182 182 183 183 184 184 185 185 186 186 187 187 188 188 189 189 190 190 191 191 192 192 193 193 194 194 195 195 196 196 197 197 198 198 199 199 200 200+ 997 Under construction 998 Unknown 999 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD 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+ Dwelling Characteristics Variables -- HOUSEHOLD Household classification HHTYPE is a constructed variable that describes the composition of households. HHTYPE is constructed from information in RELATE (relationship to head), from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father), and from information on group quarters status, GQ. 00 Vacant household 01 One-person household 02 Married/cohab couple, no children 03 Married/cohab couple with children 04 Single-parent family 05 Polygamous family 06 Extended family, relatives only 07 Composite household, family and non-relatives 08 Non-family household 09 Unclassified subfamily 10 Other relative or non-relative household 11 Group quarters 99 Unclassifiable Constructed Household Variables -- HOUSEHOLD Number of families in household NFAMS is a constructed variable that indicates the number of families within each household. Family membership is defined by FAMUNIT. A "family" is any group of persons related by blood, adoption, or marriage. An unrelated individual within the household is considered a separate family. Thus, a household consisting of a widow and a domestic employee contains two families; a household consisting of a large, multi-generation extended family with no persons unrelated to the head counts as a single family. NFAMS is constructed from information in RELATE (relationship to head) and from the constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). See those variable descriptions for more detail. 0 Vacant household 1 1 family 2 2 families 3 3 families 4 4 families 5 5 families 6 6 families 7 7 families 8 8 families 9 9 or more families Constructed Household Variables -- HOUSEHOLD Number of married couples in household NCOUPLES is a constructed variable indicating the number of married/in-union couples within a household. NCOUPLES is constructed using the IPUMS-International pointer variable SPLOC (spouse's location in the household). 0 No married couples in household 1 1 couple 2 2 couples 3 3 couples 4 4 couples 5 5 couples 6 6 couples 7 7 couples 8 8 couples 9 9 or more couples Constructed Household Variables -- HOUSEHOLD Number of mothers in household NMOTHERS is a constructed variable indicating the number of mothers -- of persons of any age -- within a household. NMOTHERS is constructed using the IPUMS-International pointer variable MOMLOC (mother's location in the household). 0 No mothers in household 1 1 mother 2 2 mothers 3 3 mothers 4 4 mothers 5 5 mothers 6 6 mothers 7 7 mothers 8 8 mothers 9 9 or more mothers in household Constructed Household Variables -- HOUSEHOLD Number of fathers in household NFATHERS is a constructed variable indicating the number of fathers -- of persons of any age -- within a household. NFATHERS is constructed using the IPUMS-International pointer variable POPLOC (father's location in the household). 0 No fathers in household 1 1 father 2 2 fathers 3 3 fathers 4 4 fathers 5 5 fathers 6 6 fathers 7 7 fathers 8 8 fathers 9 9 or more fathers in household Constructed Household Variables -- HOUSEHOLD Head's location in household HEADLOC gives the person number (PERNUM) of the head of household in samples in which persons are organized into households. HEADLOC is a 3-digit numeric variable. Constructed Household Variables -- HOUSEHOLD Dwelling number Austria 2001: All households This variable indicates the dwelling number. This is a 6-digit numeric variable with 0 implied decimal places Technical Household Variables -- HOUSEHOLD Number of persons in household Austria 2001: All households This variable indicates the number of persons in household. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Household Variables -- HOUSEHOLD Dwelling created by splitting apart a large dwelling or household Austria 2001: All households This variable indicates whether the dwelling is created by splitting apart a large dwelling or household. 0 No problem 1 Yes: households within a large dwelling were split apart into separate dwellings 2 Yes: persons within a large household were split apart into separate dwellings Technical Household Variables -- HOUSEHOLD Donated dwelling Austria 2001: All households This variable indicates the donated dwelling. 0 No problem 1 Donated Technical Household Variables -- HOUSEHOLD Donation strata: strata number Austria 2001: All households This variable indicates the donation strata regarding the strata number. 1 1 2 2 3 3 4 4 5 5 Technical Household Variables -- HOUSEHOLD Type and size of household Austria 2001: All households This variable indicates the type and size of household. 1 1-person private household 2 2-person private household 3 3-person private household 4 4-person private household 5 5-person private household 6 6-person private household 7 7-person private household 8 8 plus persons private household 9 Institutional household/communal establishment Group Quarters Variables -- HOUSEHOLD Type of household Austria 2001: All households This variable indicates whether it is a private or institutional household. 1 Private household 2 Institutional household/communal establishment Group Quarters Variables -- HOUSEHOLD Type of household 3 Austria 2001: All households This variable indicates whether it is a family or non-family private residence. 1 Family household 2 Non-family private household 3 Institutional household/communal establishment Group Quarters Variables -- HOUSEHOLD Type of household and number of family nuclei Austria 2001: All households This variable indicates the type of household and number of family nuclei. 1 One family household 2 Two family household without non-family members 3 Two family household plus other persons 4 Household consisting of 3+ family nuclei 5 One person household 6 Non-family multi-person household 7 Institutional household/communal establishment Group Quarters Variables -- HOUSEHOLD Type of household 5 Austria 2001: All households This variable indicates the type of household with regards to family status and number of children. 01 Couple family, no child, no other person 02 Couple family, no child, other persons 03 Couple family with children, no others 04 Couple family with children, with others 05 Lone parent, male, children, no others 06 Lone parent, male, children, with others 07 Lone parent, female, children, no others 08 Lone parent, female, children, with others 09 Households with 2+ family nuclei 10 Single person household, male 11 Single person household, female 12 Non-family multi-person household 13 Institutional household/communal establishment Group Quarters Variables -- HOUSEHOLD Type of household 6 Austria 2001: All households This variable indicates the type of household regarding family status, marriage status and type of household. 01 Married couple without children 02 Married couple with children 03 Cohabiting couple without children 04 Cohabiting couple with children 05 Lone mother 06 Lone father 07 Household with two or more families 08 Single person household, male 09 Single person household, female 10 Non-family, multi-person household 11 Institutional household Constructed Household Variables -- HOUSEHOLD Type of household 7 Austria 2001: All households This variable indicates the type of household regarding family status and type of household. 01 Couple, no child, wife less that age 40, no other person 02 Couple, no child, wife less that age 40, with others 03 Family with children, youngest child under 6 04 Family with children, youngest child 6 to 14 05 Family with children, all children 15+ old 06 Couple, no child, wife 40+ years old 07 Single person household, less that age 40 years old 08 Single person household, 40+ years old 09 Non-family, multi-person household 10 Institutional household Constructed Household Variables -- HOUSEHOLD Number of persons supported Austria 2001: All households This variable indicates the number of persons supported in the household. 0 0 1 1 2 2 3 3 4 4 5 5+ Constructed Household Variables -- HOUSEHOLD Cohabitation status of household representative Austria 2001: All households This variable indicates the cohabitation status of the household representative. 1 Married, same household as spouse 2 Married, not same household as spouse 3 In consensual union, same household as partner 4 Neither married nor in consensual union Constructed Household Variables -- HOUSEHOLD Tenure of dwellings <svar v="AT01A058" a="all">5. Legal basis for use of housing unit <div class="i1">[] Use of housing unit by building owner [] Company-owned dwelling, apartment provided as income [] Main tenant (also co-op apartments)</div> <div class="i2">[] Limited lease [] Unlimited lease</div> <div class="i1">[] Freehold dwelling (owner used) [] Other form of tenure (subtenant, free use by relatives of building owner, etc.)</div> </svar> <svar v="AT01A058" a="all">5. Legal basis for the use of a housing unit: [p. 59] Explanation: Principal tenant can be based both on the Tenancy Law and on the Act for Non-Profit Building Associations. Principal tenant should be marked for apartments in city-owned public housing, cooperative apartments (under lease or contract of use), and rented condominiums as well as for rent-to-own housing units whose purchase is not possible until a later date. Under use of housing unit by building owner falls: Housing units in single family homes and duplexes that are occupied by the building owner and apartments of the building owner in a tenant-occupied house even if they are treated as rental units in the accounts. Condominiums (owner used) should be marked if the owner co-owns the property and has the exclusive right of use to a housing unit. A contract on the basis of the Condominium Dwellings Act between the co-owners must be present regardless of whether or not it has already been entered in the Land Register; this item should also be marked if such an apartment ownership contract is pending. Company-owned apartment and an apartment provided in kind: A company-owned apartment is a fringe benefit in addition to compensation; for an apartment provided in kind, the use is part of the compensation (e.g. in farming). "Other legal relationship": This includes, for example, housing units rented as "Second apartments for recreational purposes", apartments provided to retired farmers by their children as a part of the farm transfer, and apartments in senior citizen residential complexes that are inhabited with "right of residence for life" but not on the basis of the Tenancy Law. Temporary primary tenant is entitled only to use for the length of the rental contract. For condominium ownership, "use of housing unit by house owner" is to be marked in the sense of building co-owner. For former rental housing units, where ownership was acquired after appraisal and division of the building into smaller units, "condominium (owner used)" should be marked. Housing units owned by employers are only a "company-owned apartment" for the employee if its relinquishment presents a fringe benefit to the salary. The use is complimentary or the payable charge lies significantly below a comparable "Rent." Sporadically occurring lease contracts (most likely in single family home area) are to be recorded as "Other legal relationship." For housing units, in which on the day of the census absolutely no persons are reported, the designated legal relationship is to be indicated. <div class="i1">This question serves the basic assessment of the living situation of the population, concrete for many housing and social policy decisions, like measures of ownership assistance or for the support of certain population groups. Austria has a high rate of home and housing unit ownership. In all states -- excluding Vienna --the portion of house and housing unit ownership at the main residence housing unit was over 50% in 1991. Since 1994, the main rental contract can also be closed in a fixed term. The intent of the lawmakers was, through the introduction of time limitations, to make it possible for home or housing unit owners, who at that time do not need their housing unit, to rent the house or housing unit for a limited time. Thus, housing unit hunters should be able to find a housing unit more easily, but the owner can, after the expiration of the time limit, again control the apartment. What actual effect does this measure have? How many persons now live in time-limited rental relationships and are, thus, actually only temporarily provided with a housing unit? Are these time limitations mainly found by persons that only temporarily need a housing unit?</div> </svar> Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the type of tenure of the dwellings. 1 Building owner's own use 2 Freehold dwelling (owner used) 3 Rent (subject to Rent Act or to 'WGG'-Act) 4 Company-owned dwelling, apartment provided as income 5 Other form of tenure 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Number of dwellers Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the number of dwellers. 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8+ 9 NIU (not in universe) Technical Household Variables -- HOUSEHOLD Number of rooms in dwelling <svar v="AT01A060 AT01A062 AT01A063 AT01A064 AT01A067">1. Location and facilities of the housing unit (please mark all appropriate items): </svar> <svar v="AT01A060" a="all"><div class="i1">1.4 Number of other inhabitable rooms (living rooms, bedrooms, small one-window rooms (Do not include rooms constantly used for commercial purposes and rooms rented out to tourists)</div> <div class="i2">[] 1 [] 2 [] 3 [] 4 [] 5 [] 6 [] 7 [] 8 [] 9 [] 10 or more</div> </svar> <svar v="AT01A060 AT01A062 AT01A063 AT01A064 AT01A067" a="all">1. Location and facilities of the housing unit: Explanation: If the rooms of a given housing unit are arranged one above the other on two or more floors, the floor on which the main entry door to the housing unit is located should be indicated. A habitable attic is defined as all stories with (partially) inclined ceilings throughout (even those with semi-high exterior walls) regardless of whether the interior work was done when the building was initially built or subsequently. In this question important rooms and other facilities of the housing unit should be indicated. A kitchenette is part of another room. [p. 56] You should mark WC inside the housing unit even if it is located in the bathroom. Inhabitable rooms are defined as living rooms, bedrooms, nurseries and "guest rooms" (for relatives, acquaintances). Not included in inhabitable rooms are: storage rooms, pantries, walk- in closets, verandas, etc. Rooms used for commercial purposes and rooms rented out to tourists that are never used by the household for living purposes should not to be included here. Rooms that are rented to boarders only seasonally and used by the household the rest of the year should be included in this count. Because the answer to the third section of this question affirms the housing unit category -- a very important statement about the housing unit -- the question is double verified by a "no" box row. If central heating is present in a housing unit, but an individual stove (e.g. tiled stove) is used as the primary heating type (see question 3), "Central heating" should be marked in question 1.3. (In question 3 then, the actual primarily used type of heating will be specified.) <div class="i1">How many persons live in high rises or upper floors? If an elevator is present in the building in a municipal area, housing quality increases with ascending height. If, on the other hand, no elevator is present, the housing quality strongly decreases with increasing number of stories - especially the higher the occupant's age. (With older buildings the presence of an elevator is saved from the 1991 census, or it comes from question 5 of the building data form, if an elevator was installed in the last 10 years.) The question about the amenities, serves the basic classification of the housing units in Austria (Categories of the Tenancy Law). Despite all modernization efforts, some older housing units still do not conform to present quality requirements. A renovation with the goal of providing as many sections of the population with good and affordable housing units, therefore, remains an important task of the federation, states and municipalities. The number of rooms is, next to the usable floor space, the most important information on housing unit size. The presence of a room per person (e.g. separate nursery) is often considered desirable.</div> </svar> Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the number of rooms in the dwelling. 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10+ 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Useful floor space of dwelling (in square meters) <svar v="AT01A061" a="all">2. Useable floor space in housing unit <div class="i1">Please exclude rooms constantly used for commercial purposes and rooms rented out to boarders: Total sq.m. ____</div> </svar> <svar v="AT01A061" a="all">2. Usable floor space in housing unit: Explanation: Please enter only whole numbers for the square meters in the data field and no decimal points or dashes. The usable floor space of the housing unit is the sum of all inhabitable rooms, kitchens, and adjoining rooms. For all single family homes, the floor space of hallways, stairways, etc. should be included here. Open balconies and terraces as well as cellars and attics should not be included in the count unless they are equipped for living purposes. Rooms that are rented out to tourists only seasonally should be included, but not commercially used rooms and rooms rented out to tourists that are never lived in by the household. Some occupants are not going to know (exactly) the usable floor space of their housing unit. In such cases, the entry of a (rough) estimate is still better than no entry. [p. 57] <div class="i1">The living space per person in Austria increased from an average of 28 sq.m. to 33 sq.m. between 1981 and 1991. How large is the difference between 1991 and 2001 going to be? Are the differences between individual states or other regions going to increase or is an equalization going to take place? What about differences in the living space by different population groups? Other results become convincing in connection with this question (e.g. the number of residents).</div> </svar> Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the useful floor space of dwelling (in square meters). 1 Under 35 2 35-44 3 45-60 4 60-90 5 90-110 6 110-130 7 130-150 8 150+ 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Water connection within the dwelling <svar v="AT01A060 AT01A062 AT01A063 AT01A064 AT01A067">1. Location and facilities of the housing unit (please mark all appropriate items): </svar> <svar v="AT01A062 AT01A063 AT01A064" a="all"><div class="i1">1.3 Other facilities present</div> <div class="i2">Bathroom, shower stall [] Yes [] No WC inside the dwelling [] Yes [] No Central heating [] Yes [] No Water hook-up inside dwelling [] Yes [] No</div> </svar> <svar v="AT01A060 AT01A062 AT01A063 AT01A064 AT01A067" a="all">1. Location and facilities of the housing unit: Explanation: If the rooms of a given housing unit are arranged one above the other on two or more floors, the floor on which the main entry door to the housing unit is located should be indicated. A habitable attic is defined as all stories with (partially) inclined ceilings throughout (even those with semi-high exterior walls) regardless of whether the interior work was done when the building was initially built or subsequently. In this question important rooms and other facilities of the housing unit should be indicated. A kitchenette is part of another room. [p. 56] You should mark WC inside the housing unit even if it is located in the bathroom. Inhabitable rooms are defined as living rooms, bedrooms, nurseries and "guest rooms" (for relatives, acquaintances). Not included in inhabitable rooms are: storage rooms, pantries, walk- in closets, verandas, etc. Rooms used for commercial purposes and rooms rented out to tourists that are never used by the household for living purposes should not to be included here. Rooms that are rented to boarders only seasonally and used by the household the rest of the year should be included in this count. Because the answer to the third section of this question affirms the housing unit category -- a very important statement about the housing unit -- the question is double verified by a "no" box row. If central heating is present in a housing unit, but an individual stove (e.g. tiled stove) is used as the primary heating type (see question 3), "Central heating" should be marked in question 1.3. (In question 3 then, the actual primarily used type of heating will be specified.) <div class="i1">How many persons live in high rises or upper floors? If an elevator is present in the building in a municipal area, housing quality increases with ascending height. If, on the other hand, no elevator is present, the housing quality strongly decreases with increasing number of stories - especially the higher the occupant's age. (With older buildings the presence of an elevator is saved from the 1991 census, or it comes from question 5 of the building data form, if an elevator was installed in the last 10 years.) The question about the amenities, serves the basic classification of the housing units in Austria (Categories of the Tenancy Law). Despite all modernization efforts, some older housing units still do not conform to present quality requirements. A renovation with the goal of providing as many sections of the population with good and affordable housing units, therefore, remains an important task of the federation, states and municipalities. The number of rooms is, next to the usable floor space, the most important information on housing unit size. The presence of a room per person (e.g. separate nursery) is often considered desirable.</div> </svar> Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the type of water connection within the dwelling. 1 Piped water in the dwelling 2 No piped water in the dwelling 9 NIU (not in universe) Utilities Variables -- HOUSEHOLD Toilet facility inside the dwelling <svar v="AT01A060 AT01A062 AT01A063 AT01A064 AT01A067">1. Location and facilities of the housing unit (please mark all appropriate items): </svar> <svar v="AT01A062 AT01A063 AT01A064" a="all"><div class="i1">1.3 Other facilities present</div> <div class="i2">Bathroom, shower stall [] Yes [] No WC inside the dwelling [] Yes [] No Central heating [] Yes [] No Water hook-up inside dwelling [] Yes [] No</div> </svar> <svar v="AT01A060 AT01A062 AT01A063 AT01A064 AT01A067" a="all">1. Location and facilities of the housing unit: Explanation: If the rooms of a given housing unit are arranged one above the other on two or more floors, the floor on which the main entry door to the housing unit is located should be indicated. A habitable attic is defined as all stories with (partially) inclined ceilings throughout (even those with semi-high exterior walls) regardless of whether the interior work was done when the building was initially built or subsequently. In this question important rooms and other facilities of the housing unit should be indicated. A kitchenette is part of another room. [p. 56] You should mark WC inside the housing unit even if it is located in the bathroom. Inhabitable rooms are defined as living rooms, bedrooms, nurseries and "guest rooms" (for relatives, acquaintances). Not included in inhabitable rooms are: storage rooms, pantries, walk- in closets, verandas, etc. Rooms used for commercial purposes and rooms rented out to tourists that are never used by the household for living purposes should not to be included here. Rooms that are rented to boarders only seasonally and used by the household the rest of the year should be included in this count. Because the answer to the third section of this question affirms the housing unit category -- a very important statement about the housing unit -- the question is double verified by a "no" box row. If central heating is present in a housing unit, but an individual stove (e.g. tiled stove) is used as the primary heating type (see question 3), "Central heating" should be marked in question 1.3. (In question 3 then, the actual primarily used type of heating will be specified.) <div class="i1">How many persons live in high rises or upper floors? If an elevator is present in the building in a municipal area, housing quality increases with ascending height. If, on the other hand, no elevator is present, the housing quality strongly decreases with increasing number of stories - especially the higher the occupant's age. (With older buildings the presence of an elevator is saved from the 1991 census, or it comes from question 5 of the building data form, if an elevator was installed in the last 10 years.) The question about the amenities, serves the basic classification of the housing units in Austria (Categories of the Tenancy Law). Despite all modernization efforts, some older housing units still do not conform to present quality requirements. A renovation with the goal of providing as many sections of the population with good and affordable housing units, therefore, remains an important task of the federation, states and municipalities. The number of rooms is, next to the usable floor space, the most important information on housing unit size. The presence of a room per person (e.g. separate nursery) is often considered desirable.</div> </svar> Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the type of toilet facility inside the dwelling. 1 Flush toilet in the dwelling 2 No flush toilet in the dwelling 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Equipment standard of dwelling <svar v="AT01A060 AT01A062 AT01A063 AT01A064 AT01A067">1. Location and facilities of the housing unit (please mark all appropriate items): </svar> <svar v="AT01A062 AT01A063 AT01A064" a="all"><div class="i1">1.3 Other facilities present</div> <div class="i2">Bathroom, shower stall [] Yes [] No WC inside the dwelling [] Yes [] No Central heating [] Yes [] No Water hook-up inside dwelling [] Yes [] No</div> </svar> <svar v="AT01A060 AT01A062 AT01A063 AT01A064 AT01A067" a="all">1. Location and facilities of the housing unit: Explanation: If the rooms of a given housing unit are arranged one above the other on two or more floors, the floor on which the main entry door to the housing unit is located should be indicated. A habitable attic is defined as all stories with (partially) inclined ceilings throughout (even those with semi-high exterior walls) regardless of whether the interior work was done when the building was initially built or subsequently. In this question important rooms and other facilities of the housing unit should be indicated. A kitchenette is part of another room. [p. 56] You should mark WC inside the housing unit even if it is located in the bathroom. Inhabitable rooms are defined as living rooms, bedrooms, nurseries and "guest rooms" (for relatives, acquaintances). Not included in inhabitable rooms are: storage rooms, pantries, walk- in closets, verandas, etc. Rooms used for commercial purposes and rooms rented out to tourists that are never used by the household for living purposes should not to be included here. Rooms that are rented to boarders only seasonally and used by the household the rest of the year should be included in this count. Because the answer to the third section of this question affirms the housing unit category -- a very important statement about the housing unit -- the question is double verified by a "no" box row. If central heating is present in a housing unit, but an individual stove (e.g. tiled stove) is used as the primary heating type (see question 3), "Central heating" should be marked in question 1.3. (In question 3 then, the actual primarily used type of heating will be specified.) <div class="i1">How many persons live in high rises or upper floors? If an elevator is present in the building in a municipal area, housing quality increases with ascending height. If, on the other hand, no elevator is present, the housing quality strongly decreases with increasing number of stories - especially the higher the occupant's age. (With older buildings the presence of an elevator is saved from the 1991 census, or it comes from question 5 of the building data form, if an elevator was installed in the last 10 years.) The question about the amenities, serves the basic classification of the housing units in Austria (Categories of the Tenancy Law). Despite all modernization efforts, some older housing units still do not conform to present quality requirements. A renovation with the goal of providing as many sections of the population with good and affordable housing units, therefore, remains an important task of the federation, states and municipalities. The number of rooms is, next to the usable floor space, the most important information on housing unit size. The presence of a room per person (e.g. separate nursery) is often considered desirable.</div> </svar> Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the equipment standard of dwelling. 1 Bathroom (shower stand) and central heating 2 Bathroom (shower stand) 3 Flush toilet and piped water within dwelling 4 Piped water within the dwelling 5 No flush toilet, no piped water in dwelling 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Heating, predominant system <svar v="AT01A065 AT01A066" a="all">3. Primary type of heating <div class="i1">[] District heating or block heating [] Building central heating [] Gas convectors [] Electric heating (permanently attached radiators) [] Central heating system for apartment (single-story heating system) Primary fuel used (Please mark just one fuel):</div> <div class="i2">[] Wood Coal, coke, briquettes [] Heating oil [] Gas [] Electricity (mobile electric heaters) [] Other fuel</div> <div class="i1">[] Individual stove(s) Primary fuel used (Please mark just one fuel):</div> <div class="i2">[] Wood Coal, coke, briquettes [] Heating oil, fuel oil [] Liquefied petroleum gas [] Electricity (mobile electric heaters) [] Other fuel</div> </svar> <svar v="AT01A065 AT01A066" a="all">3. Primary type of heating: Explanation: The primary type of heating refers to the type used in the majority of rooms during the main heating season (last winter). "District heating or block heating" should be marked not only if the heat is provided by a district heating plant but also if a block heating plant supplies heat to several buildings within a housing complex. If a single family home is centrally heated and if the questions on heating were already answered in the building data form (question 4), only the item "Central heating system for building" should be marked on the housing unit data form; the question regarding fuel does not need to be answered on the housing unit data form. Electric heating (permanently attached radiators) should also be marked, for example, if there is a system for direct electric heating of floors, walls or ceilings. The primary fuel used should only be marked if the housing unit has its own central heating or individual stove(s) heating system. Please make sure that in the first part of the question only one mark is made ("primary type of heating"). If a housing unit is primarily heated, for example only by means of a tiled stove, during the main heating season, then "individual stove" is to be marked in question 3, even if there is also central heating in the housing unit. This should be indicated in question 1.3. Because wood chip heating systems or the like are more likely used for house central heating than for housing unit central heating, no separate marking option is provided for this on the housing unit data form. In recurring individual cases "other fuel" should be marked. <div class="i1">This question concerns an important quality characteristic of every housing unit and also has macroeconomic meaning: Which energy sources are used? In considering the average energy use and heating costs, calculations about the financial burden of certain household groups can be employed.</div> [p. 58] <div class="i1"> The energy sources used have very different consequential costs in the field of environmental protection. With the advancement of environmentally friendly heating types, the taxpayers are ultimately relieved.</div> </svar> Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the predominant system of heating used in the dwelling . 1 District or block heating 2 Building central heating 3 Gas convectors 4 Electric heating (permanently attached radiators) 5 Central heating system for apartment (single-story heating system) 6 Individual stove 9 NIU (not in universe) Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD Fuel for heating of dwelling (1991) <svar v="AT01A065 AT01A066" a="all">3. Primary type of heating <div class="i1">[] District heating or block heating [] Building central heating [] Gas convectors [] Electric heating (permanently attached radiators) [] Central heating system for apartment (single-story heating system) Primary fuel used (Please mark just one fuel):</div> <div class="i2">[] Wood Coal, coke, briquettes [] Heating oil [] Gas [] Electricity (mobile electric heaters) [] Other fuel</div> <div class="i1">[] Individual stove(s) Primary fuel used (Please mark just one fuel):</div> <div class="i2">[] Wood Coal, coke, briquettes [] Heating oil, fuel oil [] Liquefied petroleum gas [] Electricity (mobile electric heaters) [] Other fuel</div> </svar> <svar v="AT01A065 AT01A066" a="all">3. Primary type of heating: Explanation: The primary type of heating refers to the type used in the majority of rooms during the main heating season (last winter). "District heating or block heating" should be marked not only if the heat is provided by a district heating plant but also if a block heating plant supplies heat to several buildings within a housing complex. If a single family home is centrally heated and if the questions on heating were already answered in the building data form (question 4), only the item "Central heating system for building" should be marked on the housing unit data form; the question regarding fuel does not need to be answered on the housing unit data form. Electric heating (permanently attached radiators) should also be marked, for example, if there is a system for direct electric heating of floors, walls or ceilings. The primary fuel used should only be marked if the housing unit has its own central heating or individual stove(s) heating system. Please make sure that in the first part of the question only one mark is made ("primary type of heating"). If a housing unit is primarily heated, for example only by means of a tiled stove, during the main heating season, then "individual stove" is to be marked in question 3, even if there is also central heating in the housing unit. This should be indicated in question 1.3. Because wood chip heating systems or the like are more likely used for house central heating than for housing unit central heating, no separate marking option is provided for this on the housing unit data form. In recurring individual cases "other fuel" should be marked. <div class="i1">This question concerns an important quality characteristic of every housing unit and also has macroeconomic meaning: Which energy sources are used? In considering the average energy use and heating costs, calculations about the financial burden of certain household groups can be employed.</div> [p. 58] <div class="i1"> The energy sources used have very different consequential costs in the field of environmental protection. With the advancement of environmentally friendly heating types, the taxpayers are ultimately relieved.</div> </svar> Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the type of fuel used for the heating of dwelling. 0 NIU (not in universe) 1 Distance (community) heating 2 Wood 3 Coal, coke, briquettes 4 Electricity 5 Heating oil, fuel oil 6 Town gas, natural gas 7 Liquefied petroleum gas 8 Wood shavings, saw dust (building central heating) 9 Other fuel Utilities Variables -- HOUSEHOLD Floor level <svar v="AT01A060 AT01A062 AT01A063 AT01A064 AT01A067">1. Location and facilities of the housing unit (please mark all appropriate items): </svar> <svar v="AT01A067" a="all"><div class="i1">1.1 Location of the housing unit (if there are several stories, mark the one where the entry door is):</div> <div class="i2">[] In the cellar (basement) [] On the ground floor [] On an intermediate floor (raised ground floor, mezzaine) [] On the 1st upper storey [] On the 2nd upper storey [] On the _ _ story [] In a habitable attic</div> </svar> <svar v="AT01A060 AT01A062 AT01A063 AT01A064 AT01A067" a="all">1. Location and facilities of the housing unit: Explanation: If the rooms of a given housing unit are arranged one above the other on two or more floors, the floor on which the main entry door to the housing unit is located should be indicated. A habitable attic is defined as all stories with (partially) inclined ceilings throughout (even those with semi-high exterior walls) regardless of whether the interior work was done when the building was initially built or subsequently. In this question important rooms and other facilities of the housing unit should be indicated. A kitchenette is part of another room. [p. 56] You should mark WC inside the housing unit even if it is located in the bathroom. Inhabitable rooms are defined as living rooms, bedrooms, nurseries and "guest rooms" (for relatives, acquaintances). Not included in inhabitable rooms are: storage rooms, pantries, walk- in closets, verandas, etc. Rooms used for commercial purposes and rooms rented out to tourists that are never used by the household for living purposes should not to be included here. Rooms that are rented to boarders only seasonally and used by the household the rest of the year should be included in this count. Because the answer to the third section of this question affirms the housing unit category -- a very important statement about the housing unit -- the question is double verified by a "no" box row. If central heating is present in a housing unit, but an individual stove (e.g. tiled stove) is used as the primary heating type (see question 3), "Central heating" should be marked in question 1.3. (In question 3 then, the actual primarily used type of heating will be specified.) <div class="i1">How many persons live in high rises or upper floors? If an elevator is present in the building in a municipal area, housing quality increases with ascending height. If, on the other hand, no elevator is present, the housing quality strongly decreases with increasing number of stories - especially the higher the occupant's age. (With older buildings the presence of an elevator is saved from the 1991 census, or it comes from question 5 of the building data form, if an elevator was installed in the last 10 years.) The question about the amenities, serves the basic classification of the housing units in Austria (Categories of the Tenancy Law). Despite all modernization efforts, some older housing units still do not conform to present quality requirements. A renovation with the goal of providing as many sections of the population with good and affordable housing units, therefore, remains an important task of the federation, states and municipalities. The number of rooms is, next to the usable floor space, the most important information on housing unit size. The presence of a room per person (e.g. separate nursery) is often considered desirable.</div> </svar> Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the floor level of the dwelling. 01 In the cellar (basement) 02 On the ground level 03 On an intermediate floor (raised ground floor, mezzaine) 04 On the first floor 05 On the 2nd floor 06 On the 3rd floor 07 On the 4th floor 08 On the 5th to 9th floor 09 On the 10th floor or higher 10 In a habitable attic 99 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Owner of building <svar v="AT01A068" a="all">1. Building owner (Please mark just one item; in case of doubt, base your answer on who holds a majority stake): <div class="i1">1.1 Private owner (including single enterprise):</div> <div class="i2">[] Single person [] Several persons</div> <div class="i1">1.2 Other owner:</div> <div class="i2">[] Federal government [] Province [] Municipality [] Other corporate bodies under public law (e.g. Chamber) [] Legally recognized church, religious society [] Non-profit building association [] Other enterprise (e.g. corporation, private limited company, bank) [] Other owners (e.g. club, association)</div> <div class="i1">1.3 Owner's citizenship (multiple answers are acceptable):</div> <div class="i2">[] Austrian [] Other EU country [] Other country</div> </svar> <svar v="AT01A068" a="all">1. Owners: Explanation: If several private persons are owners of the building (e.g. joint ownership by spouses, buildings with condominiums), the corresponding box should be marked. If private and non-private (=other) persons share ownership in the building, mark the item that reflects who owns a majority share in the building. If the shares are equal, the owner who makes most of the decisions related to the building should be marked. Other legal entities under public law are, for example, the Chambers or social security institutes. Make sure that in questions 1.1 and 1.2 only one checkmark is made Foreign building associations with headquarters in foreign countries must be entered as "other business" and in question 1.3 "other EU country" or "other country." Private foundations belong to "other enterprise," only non-profit foundations belong to "other owners". <div class="i1">Which owner groups do the buildings in the individual municipalities belong to? The buildings of the different owner groups are compared with one another with respect to building use. How high are the shares of EU citizens and those of citizens from other countries? In which municipalities in Austria is the share of foreign building proprietors higher than average?</div> </svar> Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the owner of the building. 1 Private owner(s) 2 Government owned 3 Non-profit building association 4 Other legal entity 9 NIU (not in universe) Household Economic Variables -- HOUSEHOLD Construction period Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the construction period of the building. 1 Before 1919 2 1919 to 1944 3 1945 to 1960 4 1961 to 1980 5 1981 to 1990 6 1991 or later 7 Unknown 9 NIU (not in universe) Dwelling Characteristics Variables -- HOUSEHOLD Number of dwellings in the building <svar v="AT01A070" a="all">2. Number of housing units in the building (staircase): <div class="i1">[] None [] One [] Two [] Three [] If more than three, please indicate the number: _ _ If there are more than two housing units in the building: how many of these units are freehold dwellings (as defined in the Freehold Dwellings Act)?</div> <div class="i2">[] None [] One [] Two [] Three [] If more than three, please indicate the number: _ _</div> </svar> <svar v="AT01A070" a="all">2. Number of Housing Units in the Building: Explanation: For the number of housing units in the building, the original allocation applies. For example, if an entire apartment was converted into an office, it is to be counted both as a housing unit and as a local unit of employment. The question about condominiums is to be answered only for buildings containing more than two housing units: all condominiums as defined in the Condominium Act are to be indicated here; condominiums that are rented out are also to be counted here. Involving a control question: With the help of this data, you should be able to verify if all housing unit data forms are present at the end. [p. 47] Also for one family homes or duplexes, the number of housing units present (one or two respectively) in this building is to be recorded and the appropriate number of housing unit data forms should be filled out. <div class="i1">This question serves completeness control. The final determination of the number of housing units in a building conforms to the number of housing unit data forms submitted, which is why the delivery of housing unit data forms for vacant housing units is also of great importance. With the question about the number of condominiums, the legal situation should be surveyed. Condominiums need not be occupied by the owner; rather the owner can also rent them out. The number of rented condominiums, that is of an important housing political size, can be obtained in connection with the data on the housing unit data form.</div> </svar> Austria 2001: Private household, except single rooms without kitchen [discrecpancies: not verifiable] This variable indicates the number of dwellings in the building. 1 0 2 1 3 2 4 3 to 5 5 6 to 10 6 11 to 20 7 21+ 9 NIU (not in universe) Technical Household Variables -- HOUSEHOLD Strata Austria 2001: All households This variable is the strata identifier for the sample. Strata is a constructed variable that captures implicit geographic stratification resulting from the sample design. It is created by assigning a unique identifier to groups of between 10 and 19 adjacent households. Additional documentation is available on the Variance Estimation page. This is a 5-digit numeric variable with 0 implied decimal places Geography: A-E Variables -- HOUSEHOLD Person number PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database. PERNUM is a 4-digit numeric variable. Technical Person Variables -- PERSON Person weight PERWT indicates the number of persons in the actual population represented by the person in the sample. For the samples that are truly weighted (see the comparability discussion), PERWT must be used to yield accurate statistics for the population. NOTE: PERWT has 2 implied decimal places. That is, the last two digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data. PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description. Technical Person Variables -- PERSON Mother's location in household MOMLOC is a constructed variable that indicates whether or not the person's mother lived in the same household and, if so, gives the person number of the mother (see PERNUM). MOMLOC makes it easy for researchers to link the characteristics of children and their (probable) mothers. The method by which probable child-mother links are identified is described in PARRULE. The general design of MOMLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of MOMLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: MOMLOC identifies social relationships (such as stepmother and adopted mother) as well as biological relationships. The variable STEPMOM is designed to identify some of these social relationships. To restrict MOMLOC to biological mothers, such as for own children fertility estimation, MOMLOC should be reset to zero when STEPMOM is greater than zero. MOMLOC is a 3-digit numeric variable. Codes0 = No mother of this person present in the household. 1 or higher = The person number of this person's mother Constructed Family Interrelationship Variables -- PERSON Father's location in household POPLOC is a constructed variable that indicates whether or not the person's father lived in the same household and, if so, gives the person number of the father (see PERNUM). POPLOC makes it easy for researchers to link the characteristics of children and their (probable) fathers. The method by which probable child-father links are identified is described in PARRULE. The general design of POPLOC and other constructed variables follows the methods developed for IPUMS-USA "Family Interrelationships," but the details vary significantly. For more details on the construction of POPLOC, see the Comparability section of PARRULE and this paper on IPUMSI family linking methodology. Note: POPLOC identifies social relationships (such as stepfather and adopted father) as well as biological relationships. The variable STEPPOP is designed to identify some of these social relationships. To restrict POPLOC to biological mothers, such as for own children fertility estimation, POPLOC should be reset to zero when STEPPOP is greater than zero. POPLOC is a 3-digit numeric variable. Codes0 = No father of this person present in the household. 1 or higher = The person number of this person's father Constructed Family Interrelationship Variables -- PERSON Spouse's location in household SPLOC is a constructed variable that indicates whether or not the person's spouse lived in the same household and, if so, gives the person number (PERNUM) of the spouse. SPLOC makes it easy for researchers to link the characteristics of (probable) spouses. The method by which probable spouse-spouse links are identified is described in SPRULE. The general design of SPLOC and other constructed variables is modeled on the methods developed for IPUMS-USA "Family Interrelationships", but the details vary significantly. For more details on the construction of SPLOC, see the Comparability section of SPRULE and this paper on IPUMSI family linking methodology. SPLOC is a 3-digit numeric variable. Codes0 = No spouse of this person present in the household. 1 or higher = The person number of this person's spouse Constructed Family Interrelationship Variables -- PERSON Rule for linking parent PARRULE describes the criteria by which the IPUMS International variables MOMLOC and POPLOC linked the person to a probable mother and/or father. IPUMS International establishes child-parent links according to five basic rules, and PARRULE gives the number of the rule that applied to the link in question. A link to any parent automatically generates a second link to that parent's spouse or partner, so only one rule is needed to describe both MOMLOC and POPLOC. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No parent of person in household 11 Link to head or spouse, unambiguous 12 Link to head or spouse, ambiguous 21 Child-Grandchild, within empirical child cap 22 Child-Grandchild, within constructed child cap 23 Child-Grandchild, exceeds child cap 31 Specified Other Relatives, within empirical child cap 32 Specified Other Relatives, within constructed child cap 33 Specified Other Relatives, exceeds child cap 41 Other Relatives, within empirical child cap 42 Other Relatives, within constructed child cap 51 Non-Relatives, within empirical child cap 52 Non-Relatives, within constructed child cap Constructed Family Interrelationship Variables -- PERSON Rule for linking spouse SPRULE explains the criteria by which the IPUMS-International variable SPLOC linked the person to his/her probable spouse. IPUMS International establishes spouse-spouse links according to five basic rules, and SPRULE gives the number of the rule that applied to the link in question. A sixth rule identifies sample-specific linking procedures only imposed in selected instances. The design of the interrelationship variables is described in this paper on IPUMSI family linking methodology. 00 No spouse present 01 Rule 1: strong relationship pairing, couple adjacent 02 Rule 2: strong relationship pairing, couple not adjacent 03 Rule 3: weak relationship pairing, couple adjacent 04 Rule 4: weak relationship pairing, couple not adjacent 05 Rule 5: weak consensual union pairings 06 Rule 6: sample-specific rules (usually child-to-child) Constructed Family Interrelationship Variables -- PERSON Probable stepmother STEPMOM indicates whether a person's mother, as identified by MOMLOC, was most probably not the person's biological mother. Non-zero values of STEPMOM explain why it is probable that the person's mother was a step- or adopted mother. A value of 0 indicates no likely stepmother because (1) the mother identified in MOMLOC was probably the biological mother or (2) there is no mother of this person present in the household. The codes for STEPMOM are as follows: 0 = Biological mother or no mother of this person present in household. 1 = Mother has no children born or surviving. 2 = Child reports mother is deceased. 3 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner, stepchild/child-in-law). 4 = Mother reports no children in the home. 5 = Age difference between mother and child was less than 12 or greater than 54 years. 6 = Child exceeds known fertility of mother. In cases where more than one criterion for a likely stepmother is met, STEPMOM will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. In cases where a mother is linked to more children than she reports in CHBORN or CHSURV, the determination of which children to flag as probable stepchildren is based first on the strength of the child-mother pairing (see PARRULE), and then on the order of children in the household roster. Since most links to a given mother will be made at the same strength level, order will often be the decisive factor in flagging probable stepmother relationships. Users should note that there are many stepmothers and adopted mothers in the population that cannot be identified with information available in the censuses. Therefore, STEPMOM will always under-represent their actual number in the population. 0 Biological mother or no mother present 1 Mother has no children born or surviving 2 Child reports mother is deceased 3 Explicitly identified step relationship 4 Mother reports no children in the home 5 Age difference implausible 6 Child exceeds known fertility of mother Constructed Family Interrelationship Variables -- PERSON Probable stepfather STEPPOP indicates whether a person's father, as identified by POPLOC, was most probably not the person's biological father. Non-zero values of STEPPOP explain why it is probable that the person's father was a step- or adopted father. A value of 0 indicates no likely stepfather because (1) the father identified in POPLOC was probably the biological father or (2) there is no father of this person present in the household. The codes for STEPPOP are as follows: 0 = Biological father or no father of this person present in household. 1 = Child reports father is deceased. 2 = Explicitly identified relationship (stepchild, adopted child, child of unmarried partner; stepchild/child-in-law). 3 = Age difference between father and child was less than 12 or greater than 54 years. In cases where more than one criterion for a likely stepfather is met, STEPPOP will take the value of the criterion with the lowest code. See PARRULE for a description of the linking process. Users should note that there are many stepfathers and adopted fathers in the population that cannot be identified with information available in the censuses. Therefore, STEPPOP will always under-represent their actual number in the population. 0 Biological father or no father present 1 Child reports father is deceased 2 Explicitly identified step relationship 3 Age difference implausible 4 Spouse of mother 5 Identified as adopted 6 Surname difference -- male child or never-married female Constructed Family Interrelationship Variables -- PERSON Man with more than one wife linked POLYMAL indicates if a man had more than one wife linked to him in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The point of POLYMAL is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 No more than one wife linked via SPLOC 1 More than one wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Woman is second or higher order wife POLY2ND indicates if a woman was the second or higher order wife linked to a husband in the constructed IPUMS variable SPLOC -- Spouse's Location in Household. The variable does not suggest the actual marital order of wives, only their relative positions in the person order of the household as it was enumerated. The point of POLY2ND is to facilitate using SPLOC in samples that identify polygamy. Some statistical matching procedures expect to find only one matching record for each subject record. 0 Person is not the 2nd or higher order wife linked via SPLOC 1 Person is the 2nd or higher order wife linked via SPLOC Constructed Family Interrelationship Variables -- PERSON Family unit membership FAMUNIT is a constructed variable indicating to which family within the household a person belongs. All persons related to the household head receive a 1 (see RELATE). Each secondary family or secondary individual receives a higher code. For purposes of FAMUNIT, secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). FAMUNIT is a 4-digit numeric variable. CodesIf there is only one group of related individuals within the household, all of them will be coded "1;" if there is a second, separate such group listed on the form, all of them will be coded "2," and so on. Constructed Family Interrelationship Variables -- PERSON Number of own family members in household FAMSIZE counts the number of the person's own family members living in the household with her/him, including the person her/himself. These include all persons related to the person by blood, adoption, or marriage as indicated by the census forms or inferred from them. FAMSIZE is calculated from the units identified in the IPUMS constructed variable FAMUNIT (family unit membership). The primary family is defined as all persons related to the head in the RELATE variable. Secondary families are individuals or groups of persons linked together by the IPUMS constructed pointer variables SPLOC, MOMLOC, and POPLOC (location of spouse, mother, and father). 0001 1 family member present 0002 2 family members present 0003 3 family members present 0004 4 0005 5 0006 6 0007 7 0008 8 0009 9 0010 10 0011 11 0012 12 0013 13 0014 14 0015 15 0016 16 0017 17 0018 18 0019 19 0020 20 0021 21 0022 22 0023 23 0024 24 0025 25 0026 26 0027 27 0028 28 0029 29 0030 30 0031 31 0032 32 0033 33 0034 34 0035 35 0036 36 0037 37 0038 38 0039 39 0040 40 0041 41 0042 42 0043 43 0044 44 0045 45 0046 46 0047 47 0048 48 0049 49 0050 50 0051 51 0052 52 0053 53 0054 54 0055 55 0056 56 0057 57 0058 58 0059 59 0060 60 0061 61 0062 62 0063 63 0064 64 0065 65 0066 66 0067 67 0068 68 0069 69 0070 70 0071 71 0072 72 0073 73 0074 74 0075 75 0076 76 0077 77 0078 78 0079 79 0080 80 0081 81 0082 82 0083 83 0084 84 0085 85 0086 86 0087 87 0088 88 0089 89 0090 90 0091 91 0092 92 0093 93 0094 94 0095 95 0096 96 0097 97 0098 98 0099 99 or more persons Constructed Family Interrelationship Variables -- PERSON Number of own children in household NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more children in household Constructed Family Interrelationship Variables -- PERSON Number of own children under age 5 in household NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 or more own children under age 5 in household 98 One or more children have unknown age Constructed Family Interrelationship Variables -- PERSON Age of eldest own child in household ELDCH gives the age of the person's oldest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. ELDCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Age of youngest own child in household YNGCH gives the age of the person's youngest own child living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household. YNGCH is top-coded at age 50 or older. 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 or older 98 One or more children have unknown age 99 No own child in household Constructed Family Interrelationship Variables -- PERSON Relationship to household head [general version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1 Head 2 Spouse/partner 3 Child 4 Other relative 5 Non-relative 6 Other relative or non-relative 9 Unknown Demographic Variables -- PERSON Relationship to household head [detailed version] RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person). 1000 Head 2000 Spouse/partner 2100 Spouse 2200 Unmarried partner 2210 Civil union 2300 Same-sex spouse/partner 3000 Child 3100 Biological child 3200 Adopted child 3300 Stepchild 3400 Child/child-in-law 3500 Child/child-in-law/grandchild 3600 Child of unmarried partner 4000 Other relative 4100 Grandchild 4110 Grandchild or great grandchild 4120 Great grandchild 4130 Great-great grandchild 4200 Parent/parent-in-law 4210 Parent 4211 Stepparent 4220 Parent-in-law 4300 Child-in-law 4301 Daughter-in-law 4302 Spouse/partner of child 4310 Unmarried partner of child 4400 Sibling/sibling-in-law 4410 Sibling 4420 Stepsibling 4430 Sibling-in-law 4431 Sibling of spouse/partner 4432 Spouse/partner of sibling 4500 Grandparent 4510 Great grandparent 4600 Parent/grandparent/ascendant 4700 Aunt/uncle 4800 Other specified relative 4810 Nephew/niece 4820 Cousin 4830 Sibling's sibling-in-law 4900 Other relative, not elsewhere classified 4910 Other relative with same family name 4920 Other relative with different family name 4930 Other relative, not specified (secondary family) 5000 Non-relative 5100 Friend/guest/visitor/partner 5110 Partner/friend 5111 Friend 5112 Partner/roommate 5113 Housemate/roommate 5120 Visitor 5130 Ex-spouse 5140 Godparent 5150 Godchild 5200 Employee 5210 Domestic employee 5220 Relative of employee, n.s. 5221 Spouse of servant 5222 Child of servant 5223 Other relative of servant 5300 Roomer/boarder/lodger/foster child 5310 Boarder 5311 Boarder or guest 5320 Lodger 5330 Foster child 5340 Tutored/foster child 5350 Tutored child 5400 Employee, boarder, or guest 5500 Other specified non-relative 5510 Agregado 5520 Temporary resident, guest 5600 Group quarters 5610 Group quarters, non-inmates 5620 Institutional inmates 5900 Non-relative, n.e.c. 6000 Other relative or non-relative 9999 Unknown Demographic Variables -- PERSON Relationship to head, Europe 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. 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 Demographic Variables -- PERSON Age AGE gives age in years as of the person's last birthday prior to or on the day of enumeration. 000 Less than 1 year 001 1 year 002 2 years 003 3 004 4 005 5 006 6 007 7 008 8 009 9 010 10 011 11 012 12 013 13 014 14 015 15 016 16 017 17 018 18 019 19 020 20 021 21 022 22 023 23 024 24 025 25 026 26 027 27 028 28 029 29 030 30 031 31 032 32 033 33 034 34 035 35 036 36 037 37 038 38 039 39 040 40 041 41 042 42 043 43 044 44 045 45 046 46 047 47 048 48 049 49 050 50 051 51 052 52 053 53 054 54 055 55 056 56 057 57 058 58 059 59 060 60 061 61 062 62 063 63 064 64 065 65 066 66 067 67 068 68 069 69 070 70 071 71 072 72 073 73 074 74 075 75 076 76 077 77 078 78 079 79 080 80 081 81 082 82 083 83 084 84 085 85 086 86 087 87 088 88 089 89 090 90 091 91 092 92 093 93 094 94 095 95 096 96 097 97 098 98 099 99 100 100+ 999 Not reported/missing Demographic Variables -- PERSON Age, grouped into intervals AGE2 gives computed years of age grouped into intervals. 01 0 to 4 02 5 to 9 03 10 to 14 04 15 to 19 05 0 to 5 06 6 to 10 07 10 to 15 08 11 to 14 09 15 to 17 10 16 to 19 11 18 to 24 12 20 to 24 13 25 to 29 14 30 to 34 15 35 to 39 16 40 to 44 17 45 to 49 18 50 to 54 19 55 to 59 20 60 to 64 21 65 to 69 22 70 to 74 23 75 to 79 24 80 to 84 25 85+ 98 Unknown Demographic Variables -- PERSON Sex SEX reports the sex (gender) of the respondent. 1 Male 2 Female 9 Unknown Demographic Variables -- PERSON Marital status [general version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 0 NIU (not in universe) 1 Single/never married 2 Married/in union 3 Separated/divorced/spouse absent 4 Widowed 9 Unknown/missing Demographic Variables -- PERSON Marital status [detailed version] MARST describes the person's current marital status according to law or custom. Individuals who remarried should report the status relevant to their most recent marriage. Census instructions rarely explicitly limit marital status to strictly legal unions. Note regarding universe: The lowest age at which a person can be anything but "never married" varies among samples. 000 NIU (not in universe) 100 Single/never married 110 Engaged 111 Never married and never cohabited 200 Married or consensual union 210 Married, formally 211 Married, civil 212 Married, religious 213 Married, civil and religious 214 Married, civil or religious 215 Married, traditional/customary 216 Married, monogamous 217 Married, polygamous 219 Married, spouse absent (historical samples) 220 Consensual union 300 Separated/divorced/spouse absent 310 Separated or divorced 320 Separated or annulled 330 Separated 331 Separated legally 332 Separated de facto 333 Separated from marriage 334 Separated from consensual union 335 Separated from consensual union or marriage 340 Annulled 350 Divorced 400 Widowed 410 Widowed or divorced 411 Widowed from consensual union or marriage 412 Widowed from marriage 413 Widowed from consensual union 420 Widowed, divorced, or separated 999 Unknown/missing Demographic Variables -- PERSON Marital status, Europe 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. 0 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 Demographic Variables -- PERSON Consensual union CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage. 1 Yes, in consensual union 2 No, married 8 Unknown 9 NIU (not in universe) Demographic Variables -- PERSON Duration of current marriage or union DURMARR reports the duration of the respondent's current marriage or union, or, in some cases, the total years spent within marriage. 00 Less than 1 year 01 1 year 02 2 years 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95+ 98 Unknown 99 NIU (not in universe) Demographic Variables -- PERSON Year of birth BIRTHYR gives the person's year of birth. 0000 NIU (not in universe) 1628 1628 1629 1629 1630 1630 1631 1631 1634 1634 1635 1635 1636 1636 1637 1637 1638 1638 1639 1639 1640 1640 1641 1641 1642 1642 1643 1643 1644 1644 1645 1645 1646 1646 1647 1647 1648 1648 1649 1649 1650 1650 1651 1651 1652 1652 1653 1653 1654 1654 1655 1655 1656 1656 1657 1657 1658 1658 1659 1659 1660 1660 1661 1661 1662 1662 1663 1663 1664 1664 1665 1665 1666 1666 1667 1667 1668 1668 1669 1669 1670 1670 1671 1671 1672 1672 1673 1673 1674 1674 1675 1675 1676 1676 1677 1677 1678 1678 1679 1679 1680 1680 1681 1681 1682 1682 1683 1683 1684 1684 1685 1685 1686 1686 1687 1687 1688 1688 1689 1689 1690 1690 1691 1691 1692 1692 1693 1693 1694 1694 1695 1695 1696 1696 1697 1697 1698 1698 1699 1699 1700 1700 1701 1701 1702 1702 1703 1703 1704 1704 1705 1705 1706 1706 1707 1707 1708 1708 1709 1709 1710 1710 1711 1711 1712 1712 1713 1713 1714 1714 1715 1715 1716 1716 1717 1717 1718 1718 1719 1719 1720 1720 1721 1721 1722 1722 1723 1723 1724 1724 1725 1725 1726 1726 1727 1727 1728 1728 1729 1729 1730 1730 1731 1731 1732 1732 1733 1733 1734 1734 1735 1735 1736 1736 1737 1737 1738 1738 1739 1739 1740 1740 1741 1741 1742 1742 1743 1743 1744 1744 1745 1745 1746 1746 1747 1747 1748 1748 1749 1749 1750 1750 1751 1751 1752 1752 1753 1753 1754 1754 1755 1755 1756 1756 1757 1757 1758 1758 1759 1759 1760 1760 1761 1761 1762 1762 1763 1763 1764 1764 1765 1765 1766 1766 1767 1767 1768 1768 1769 1769 1770 1770 1771 1771 1772 1772 1773 1773 1774 1774 1775 1775 1776 1776 1777 1777 1778 1778 1779 1779 1780 1780 1781 1781 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1882 1882 1883 1883 1884 1884 1885 1885 1886 1886 1887 1887 1888 1888 1889 1889 1890 1890 1891 1891 1892 1892 1893 1893 1894 1894 1895 1895 1896 1896 1897 1897 1898 1898 1899 1899 1900 1900 1901 1901 1902 1902 1903 1903 1904 1904 1905 1905 1906 1906 1907 1907 1908 1908 1909 1909 1910 1910 1911 1911 1912 1912 1913 1913 1914 1914 1915 1915 1916 1916 1917 1917 1918 1918 1919 1919 1920 1920 1921 1921 1922 1922 1923 1923 1924 1924 1925 1925 1926 1926 1927 1927 1928 1928 1929 1929 1930 1930 1931 1931 1932 1932 1933 1933 1934 1934 1935 1935 1936 1936 1937 1937 1938 1938 1939 1939 1940 1940 1941 1941 1942 1942 1943 1943 1944 1944 1945 1945 1946 1946 1947 1947 1948 1948 1949 1949 1950 1950 1951 1951 1952 1952 1953 1953 1954 1954 1955 1955 1956 1956 1957 1957 1958 1958 1959 1959 1960 1960 1961 1961 1962 1962 1963 1963 1964 1964 1965 1965 1966 1966 1967 1967 1968 1968 1969 1969 1970 1970 1971 1971 1972 1972 1973 1973 1974 1974 1975 1975 1976 1976 1977 1977 1978 1978 1979 1979 1980 1980 1981 1981 1982 1982 1983 1983 1984 1984 1985 1985 1986 1986 1987 1987 1988 1988 1989 1989 1990 1990 1991 1991 1992 1992 1993 1993 1994 1994 1995 1995 1996 1996 1997 1997 1998 1998 1999 1999 2000 2000 2001 2001 2002 2002 2003 2003 2004 2004 2005 2005 2006 2006 2007 2007 2008 2008 2009 2009 2010 2010 2011 2011 2012 2012 2013 2013 2014 2014 2015 2015 2016 2016 2017 2017 2018 2018 2019 2019 2020 2020 9999 Unknown Demographic Variables -- PERSON Children ever born CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living. 00 No children 01 1 child 02 2 children 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30+ 98 Unknown 99 NIU (not in universe) Fertility and Mortality Variables -- PERSON Nativity status NATIVITY indicates whether the person was native-born or foreign-born. 0 NIU (not in universe) 1 Native-born 2 Foreign-born 9 Unknown/missing Nativity and Birthplace Variables -- PERSON Country of birth BPLCOUNTRY indicates the person's country of birth. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11005 British Indian Ocean Territory 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11051 Ethiopia (including Eritrea) 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15021 Upper Volta 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15081 Guinea-Bissau and Cape Verde 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15180 Canary Islands 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21200 St. Croix 21210 St. John 21220 St. Lucia 21230 St Thomas 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21991 Caribbean commonwealth, n.s. 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32042 India/Pakistan/Bangladesh/Sri Lanka 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32101 Pakistan/Bangladesh 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34071 Israel/Palestine 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34111 West Bank 34112 Gaza Strip 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41991 Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43121 Spain/Portugal 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43991 Gibraltar/Malta 43992 Portugal/Greece 43993 Italy, Holy See, San Marino 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44020 Belgium 44021 Belgium/Luxemburg 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44042 West Germany 44043 Germany/Austria 44044 Mecklenburg-Schwerin 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44991 Belgium, Denmark, Luxembourg, Netherlands 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (original 15) 49994 Other European Union (not original 15) 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53060 Federated States of Micronesia 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 80000 AT SEA 90000 Other countries n.s. 99999 Unknown Nativity and Birthplace Variables -- PERSON Citizenship CITIZEN indicates the person's citizenship status within the country in which they were enumerated. 1 Citizen, not specified 2 Citizen by birth 3 Naturalized citizen 4 Not a citizen 5 Without citizenship, stateless 8 Unknown 9 NIU (not in universe) Nativity and Birthplace Variables -- PERSON Country of citizenship NATION indicates the person's country of citizenship. 00000 NIU (not in universe) 10000 Africa 11000 Eastern Africa 11010 Burundi 11020 Comoros 11030 Djibouti 11040 Eritrea 11050 Ethiopia 11060 Kenya 11070 Madagascar 11080 Malawi 11090 Mauritius 11100 Mozambique 11110 Reunion 11120 Rwanda 11130 Seychelles 11140 Somalia 11150 South Sudan 11160 Uganda 11170 Tanzania 11180 Zambia 11190 Zimbabwe 11999 Eastern Africa, other or n.s. 12000 Middle Africa 12010 Angola 12020 Cameroon 12030 Central African Republic 12040 Chad 12050 Congo (Republic of) 12060 Democratic Republic of Congo 12070 Equatorial Guinea 12080 Gabon 12090 Sao Tome and Principe 12999 Middle Africa, other or n.s. 13000 Northern Africa 13010 Algeria 13011 Algeria/Tunisia 13020 Egypt/United Arab Rep. 13021 Egypt/Sudan 13030 Libya 13040 Morocco 13050 Sudan 13060 Tunisia 13070 Western Sahara 13999 Northern Africa, other or n.s. 14000 Southern Africa 14010 Botswana 14020 Lesotho 14030 Namibia 14040 South Africa 14050 Swaziland 14999 Southern Africa, other or n.s. 15000 Western Africa 15010 Benin 15020 Burkina Faso 15030 Cape Verde 15040 Ivory Coast 15050 Gambia 15060 Ghana 15070 Guinea 15080 Guinea-Bissau 15090 Liberia 15100 Mali 15110 Mauritania 15120 Niger 15130 Nigeria 15140 St. Helena and Ascension 15150 Senegal 15160 Sierra Leone 15170 Togo 15999 West Africa, other or n.s. 19999 Africa, other or n.s. 20000 Americas 21000 Caribbean 21010 Anguilla 21020 Antigua-Barbuda 21030 Aruba 21040 Bahamas 21050 Barbados 21060 British Virgin Islands 21070 Cayman Isles 21080 Cuba 21090 Dominica 21100 Dominican Republic 21110 Grenada 21120 Guadeloupe 21130 Haiti 21140 Jamaica 21150 Martinique 21160 Montserrat 21170 Netherlands Antilles 21180 Puerto Rico 21190 St. Kitts-Nevis 21220 St. Lucia 21240 St. Vincent 21250 Trinidad and Tobago 21260 Turks and Caicos 21270 U.S. Virgin Islands 21999 Caribbean, other or n.s. 22000 Central America 22010 Belize/British Honduras 22020 Costa Rica 22030 El Salvador 22040 Guatemala 22050 Honduras 22060 Mexico 22070 Nicaragua 22080 Panama 22081 Panama Canal Zone 22999 Central America, other or n.s. 23000 South America 23010 Argentina 23020 Bolivia 23030 Brazil 23040 Chile 23050 Colombia 23060 Ecuador 23070 Falkland Islands 23080 French Guiana 23090 Guyana/British Guiana 23100 Paraguay 23110 Peru 23120 Suriname 23130 Uruguay 23140 Venezuela 23999 South America, other or n.s. 24000 North America 24010 Bermuda 24020 Canada 24021 Canada, First Nations 24030 Greenland 24040 United States 24999 North America, other or n.s. 29999 Americas, other or n.s. 30000 Asia 31000 Eastern Asia 31010 China 31011 Hong Kong 31012 Macau 31013 Taiwan 31020 Japan 31030 Korea 31031 Korea, DPR (North) 31032 Korea, RO (South) 31040 Mongolia 31999 Eastern Asia, other or n.s. 32000 South-Central Asia 32010 Afghanistan 32020 Bangladesh 32030 Bhutan 32040 India 32041 India/Pakistan 32050 Iran 32060 Kazakhstan 32070 Kyrgyzstan 32080 Maldives 32090 Nepal 32100 Pakistan 32110 Sri Lanka (Ceylon) 32120 Tajikistan 32130 Turkmenistan 32140 Uzbekistan 32990 Burma, India, Pakistan, Ceylon 32999 South-Central Asia, other or n.s. 33000 South-Eastern Asia 33010 Brunei 33020 Cambodia (Kampuchea) 33030 East Timor 33040 Indonesia 33050 Laos 33060 Malaysia 33070 Myanmar (Burma) 33080 Philippines 33090 Singapore 33100 Thailand 33110 Vietnam 33991 Laos and Cambodia 33992 Malaysia and Singapore 33999 South-Eastern Asia, other or n.s. 34000 Western Asia 34010 Armenia 34020 Azerbaijan 34030 Bahrain 34040 Cyprus 34050 Georgia 34051 Abkhazia 34052 South Ossetia 34060 Iraq 34070 Israel 34080 Jordan 34090 Kuwait 34100 Lebanon 34110 Palestine 34120 Oman 34130 Qatar 34140 Saudi Arabia 34150 Syria 34151 Syria/Lebanon 34160 Turkey 34170 United Arab Emirates 34180 Yemen 34991 Middle East 34999 Western Asia, other or n.s. 39999 Asia, other or n.s. 40000 Europe 41000 Eastern Europe 41010 Belarus 41020 Bulgaria 41021 Bulgaria/Greece 41030 Czech Republic/Czechoslovakia 41040 Hungary 41050 Poland 41060 Moldova 41070 Romania 41080 Russia/USSR 41090 Slovakia 41100 Ukraine 41992 Central-Eastern Europe 41999 Eastern Europe, other or n.s. 42000 Northern Europe 42010 Denmark 42020 Estonia 42030 Faroe Islands 42040 Finland 42050 Iceland 42060 Ireland 42070 Latvia 42080 Lithuania 42090 Norway 42100 Svalbard and Jan Mayen Islands 42110 Sweden 42120 United Kingdom 42121 Britain 42122 Scotland 42123 Wales 42990 Nordic countries 42999 Northern Europe, other or n.s. 43000 Southern Europe 43010 Albania 43020 Andorra 43030 Bosnia and Herzegovina 43040 Croatia 43050 Gibraltar 43060 Greece 43070 Italy 43071 Vatican City 43080 Malta 43090 Portugal 43100 San Marino 43110 Slovenia 43120 Spain 43130 Macedonia 43140 Yugoslavia 43141 Montenegro 43142 Serbia 43143 Kosovo 43144 Serbia and Montenegro 43999 Southern Europe, other or n.s. 44000 Western Europe 44010 Austria 44011 Austro-Hungarian 44020 Belgium 44022 Belgium/Netherlands/Luxemburg 44030 France 44040 Germany 44041 East Germany 44042 West Germany 44050 Liechtenstein 44060 Luxembourg 44070 Monaco 44080 Netherlands 44090 Switzerland 44999 Western Europe, other or n.s. 49992 European Union 49993 European Union (Original 15) 49994 Other European Union 49999 Europe, other or n.s. 50000 Oceania 51000 Australia and New Zealand 51010 Australia 51020 New Zealand 51030 Norfolk Islands 51999 Australia and New Zealand, n.s. 52000 Melanesia 52010 Fiji 52020 New Caledonia 52030 Papua New Guinea 52040 Solomon Islands 52050 Vanuatu (New Hebrides) 52999 Melanesia, n.s. 53000 Micronesia 53010 Kiribati 53020 Marshall Islands 53030 Nauru 53040 Northern Mariana Isls. 53050 Palau 53999 Micronesia, other or n.s. 54000 Polynesia 54010 Cook Islands 54020 French Polynesia 54030 Niue 54040 Pitcairn Island 54050 Western Samoa 54060 Eastern Samoa 54070 Tokelau 54080 Tonga 54090 Tuvalu 54100 Wallis and Futuna Isls. 54999 Polynesia, other or n.s. 55000 U.S. Pacific Possessions 55010 American Samoa 55020 Baker Island 55030 Guam 55040 Howland Island 55050 Johnston Atoll 55060 Kingman Reef 55070 Midway Islands 55080 Wake Island 55999 US Pacific, other or n.s. 59999 Oceania, other or n.s. 90000 Other countries n.s. 99998 No citizenship/nationality 99999 Unknown Nativity and Birthplace Variables -- PERSON Religion [general version] RELIGION indicates the person's religion, including "none." 0 NIU (not in universe) 1 No religion 2 Buddhist 3 Hindu 4 Jewish 5 Muslim 6 Christian 7 Other 9 Unknown Ethnicity and Language Variables -- PERSON Religion [detailed version] RELIGION indicates the person's religion, including "none." 0000 NIU (not in universe) 1000 No religion 1001 Atheist 1002 Agnostic 1003 Without religion 2000 Buddhist 3000 Hindu 4000 Jewish 5000 Muslim 5005 Ahmadis 5006 Sunni 6000 Christian 6001 Catholic (Roman or unspecified) 6002 Orthodox 6003 Protestant 6004 Evangelical protestant 6005 Pentecostal 6006 Adventist / Seventh-day adventist 6007 Anglican 6008 Assembly of God 6009 Baptist 6010 Church of the Nazarene 6011 Congregational 6012 Dutch Reformed 6013 Episcopalian 6014 Jehovah's Witnesses 6015 Latter Day Saints (Mormon) 6016 Lutheran 6017 Mennonite 6018 Methodist 6019 New Apostolic 6020 Presbyterian 6021 Zion Christian 6022 Moravian 6090 Other Christian, historical 6100 Other Christian, Armenia 6101 Armenia apostolic 6102 Nestorian 6103 Molokai 6104 Other Christian, Austria 6105 Old Catholic 6106 Protestant, Augsburg confession 6107 Protestant, Westminster confession 6108 Protestant, Helvetic confession 6109 Greek Oriental 6110 Armenian Apostolic 6111 Other Protestant 6112 Christian Community for renewal 6113 Christian Community, not specified 6114 Other Christian, Benin 6115 Other Christian 6116 Celestial 6117 Other Christian, Brazil 6118 Christian Congregation of Brazil 6119 Brazilian Catholic Apostolic 6120 Brazil for Christ 6121 Foursquare Gospel 6122 Universal of the Kingdom of God 6123 House of the Blessing 6124 House of Prayer 6125 God is Love 6126 Maranata 6127 Other Christian, Brazil 1991 6128 Undetermined Protestant 6129 Other traditional Protestant 6130 Neo-Christian 6131 Other Neo-Christian 6132 Undetermined Christian 6133 Other Christian, Brazil 2000 6134 Other Catholic 6135 Renewed Evangelical Protestant without institutional ties 6136 Pentecostal Evangelical without institutional ties 6137 New Life Evangelical Protestant Pentecostal 6138 Evangelical Protestant Biblical Revival Pentecostal 6139 Chain Of Prayer Pentecostal 6140 Undetermined Evangelical Protestant 6141 Religion Of God 6142 Christian without institutional ties 6143 Other Christian, Brazil 2010 6144 Salvation Army 6145 Other Christian, Canada 6146 Other Catholic 6147 United Church 6148 Protestant, not specified 6149 Other Protestant 6150 Other Christian, Cameroon 6151 Other Christian, Fiji 6152 Christian undefined 6153 Church of England 6154 Gospel Hall and Brethern 6155 Christian Mission Fellowship (CMF) or Every Home 6156 Salvation Army 6157 All Nations Christian Fellowship 6158 Apostles Gospel Outreach Fellowship 6159 Christian Outreach Centre 6160 Other Christian 6161 Other Christian, Germany 6162 Oriental Christian 6163 Other Christian, Ghana 6164 Other Christian, Iran 6165 Assyrian or Chaldean 6166 Armenian 6167 Other Christians 6168 Other Christian, Indonesia 6169 Other Christian 6170 Protestant/Other Christian 6171 Other Christian, Ireland 6172 Church of Ireland 6173 Church of Scotland 6174 Independent 6175 Unitarian 6176 Salvation Army 6177 Free Church 6178 Brethren 6179 Christian Brethren 6180 Plymouth Brethren 6181 Quaker 6182 Other Christians 6183 Other Christian, Ivory Coast 6184 Other Christian, Jamaica 6185 Brethren 6186 Church of God 6187 Church of God of Prophecy 6188 Other Church of God 6189 United Church 6190 Salvation Army 6191 New Testament 6192 Disciples of Christ 6193 Other Christian, Mauritius 6194 Christian Tamil 6195 Salvation and Healing Mission 6196 Voice of Deliverance 6197 Other Christian 6198 Other Christian, Mexico 6199 Anabaptist 6200 Calvinist 6201 Cuaquera 6202 Disciples of Christ 6203 Christian Friendship Church 6204 Prayer House Church 6205 Faith Center 6206 Agape Force Church 6207 Alpha and Omega Church 6208 Living Water Church 6209 Apostolic Church 6210 Church of God 6211 Church of God of Prophecy 6212 Complete Gospel Church 6213 Evangelical Siblings Church 6214 Upper Room Church 6215 Pentecostal Indigenous Church 6216 Angular Stone Voice Church 6217 Pentecostal Missionary 6218 Christian 6219 Christian Societies 6220 Evangelical 6221 Evangelical Societies 6222 New Testament Evangelical 6223 Pentecostal 6224 Pentecostal Societies 6225 Independent Pentecostal 6226 Evangelical Christian Societies 6227 Pentecostal Christian Societies 6228 Evangelical Pentecostal Societies 6229 Evangelical Pentecostal Christian Societies 6230 Soldiers of Christ's Cross Church 6231 Tabernacle 6232 Traditionalists 6233 Other Evangelical Pentecostal Societies 6234 Pentecostal not clearly specified 6235 Living God, Light of the World 6236 Christian and Missionary Alliance 6237 Non-Pentecostal Apostolic 6238 Evangelical Associations 6239 Biblical 6240 Confraternities 6241 Christ Church 6242 Peace Grace and Misericordia Church 6243 Open Bible Church 6244 Holiness Church 6245 Evangelical Salem Church 6246 Beautiful Woman Dressed in the Sun 6247 Messianic Church 6248 Evangelical Ministers 6249 Evangelical Missionaries 6250 Evangelical Movements 6251 New Jerusalem 6252 World Vision Church 6253 Evangelical not clearly specified 6254 Biblical - non-evangelicals 6255 Other Christians not clearly specified 6256 Assumptionist 6257 Carmelite 6258 Claretian 6259 Conception Franciscan 6260 Maronite Diocese of Mexico 6261 Dominican 6262 Servants of Mary Immaculate 6263 Franciscan 6264 Guadalupan 6265 Daughters of the Immaculate Conception 6266 Jesuit 6267 Legionaries of Christ 6268 Divine Word Missionary 6269 Pauline 6270 Sacred Heart 6271 Saint Joseph of Tarbes 6272 Servant of the Lord and the Virgin 6273 Servant of Jesus 6274 Greek Catholic Church 6275 Reformed Roman Catholic Church 6276 Mexican National Catholic Church 6277 Tridentine Latin Rite Catholic Church 6278 Priestly Society Trento 6279 Mexican Catholic Union of Trento 6280 Anabaptist / Memnonite 6281 Anglican / Episcopal 6282 House of Prayer 6283 Center of Faith, Hope and Love of the Missionary Revival Crusade 6284 Center of Faith, Hope and Love Agape Force 6285 Salvation Army 6286 Independent Pentecostal Fellowship 6287 Upper Chamber Church 6288 Faith Apostolic Church of Jesus Christ 6289 Spiritual Christian Church 6290 Pentecostal Evangelical Christian Church 6291 Interdenominational Christian Church 6292 Church of God Full Gospel in Mexico 6293 Church of Jesus Christ on the Rock 6294 Christ Evangelical Pentecostal Church Rock of my Salvation 6295 Mexican Church of Christ's Gospel Pentecost 6296 United Pentecostal Church of Mexico 6297 Universal Church of the Kingdom of God 6298 Only Christ Savior Christian Church 6299 Independent Evangelical Pentecostal Movement 6300 Prince of Peace 6301 National Union of Evangelical Christian Churches (UNICE) 6302 Union of Independent Evangelical Churches 6303 Other associations Pentecostal 6304 Church of the Living God, Pillar and Support of Truth, the Light of the World 6305 Bible Church 6306 Interdenominational Christian Church in Mexico 6307 Church of Christ 6308 Honey Church of Christ 6309 Independent Evangelical Church in Mexico 6310 Renewed Church of Jesus Christ and the Apostles of Divine Love 6311 Other Christian and Evangelical associations without Pentecostal support 6312 Faith Christian Church 6313 Traditional Apostolic Catholic Holy Church Mexico-USA 6314 Mexican Apostolic Catholic Church 6315 Elias 6316 Spiritualistic 6317 Spiritualist 6318 Marian Trinitarian Spirituality 6319 Spirituality of the Third Age 6320 Christian Spiritual 6321 Judiciary Society Reign of Leonardo Alcalá Leos 6322 Spirituality for the Divine Master and the purity of Mary 6323 Light and Hope 6324 Holy Spirit, Purity, Love and Light 6325 Christian Science 6326 Neo-Israelite Jewish Syncretic Movements 6327 Other Christian, Netherlands 6328 Reformed Churches in The Netherlands 6329 Other Reformed 6330 Other Christian, Papua New Guinea 6331 Asian Pacific Christian Mission 6332 Asutalian Church 6333 Bamu River Mission 6334 Christian Brethren Church of PNG 6335 Christian Mission of Many Lands 6336 Christian Revival Crusade 6337 Christain Union Mission 6338 Church of Christ of PNG 6339 Faith mission 6340 Four Square Gospel Mission 6341 Kwato Church 6342 Life Center 6343 Lighthouse church 6344 New Guinea Gospel Mission 6345 New Life Mission 6346 New tribes Mission 6347 Paliau Christian Native Church 6348 Rhema Fellowship 6349 Salvation Army 6350 Sovereign Grace 6351 United Church 6352 Wewak Fellowship 6353 Western Highland 6354 Independent 6355 Plymouth Brethern 6356 Tiliba Mission 6357 Tokarara Christian Fellowship 6358 Village Mission 6359 Other Christian 6360 Other Christian, Paraguay 6361 Christian Community 6362 Free Brothers 6363 Church of God 6364 Church of God of Prophecy 6365 New testament 6366 God is love 6367 Universal Church of the Kingdom of God 6368 People of God 6369 Family worship center 6370 Pseudo-Christian groups 6371 Other Christian, Philippines 6372 Aglipay 6373 Bible Christian Committees 6374 Born-again Christian 6375 Bread of Life Ministries 6376 Cathedral of Praise, Incorporated 6377 Charismatic Full Gospel Ministries 6378 Christ the Living Stone Fellowship 6379 Christian and Missionary Alliance 6380 Christians Missions 6381 Christian Reformed Church in the Philippines, Incorporated 6382 Church of Christ 6383 Crusaders of the Divine Church of Christ, Incorporated 6384 Evangelical Christian Outreach Foundation 6385 Evangelical Free Church 6386 Filipino Assemblies of the First Born Inc. 6387 Foursquare Gospel 6388 Free Believers in Christ Fellowship 6389 Free Mission in the Philippines Inc. 6390 God World Mission 6391 Good News Christian Churches 6392 IEMELIF Reform Movement 6393 Iglesia Evangelista Methodista en Las 6394 Iglesia Evangelica Unida de Cristo 6395 Iglesia ni Cristo 6396 Iglesia sa Dios Espiritu Santo, Incorporated 6397 Jesus Christ Saves Global Outreach 6398 Jesus is Alive Community, Incorporated 6399 Jesus is Lord Church 6400 Jesus Reigns Ministries 6401 Love of Christ International Ministries 6402 Other Evangelical 6403 Other Evangelical Church 6404 Other Protestants 6405 Philippine Ecumenical Christian Church 6406 Philippine Evangelical Mission 6407 Philippine Grace Gospel Fellowship 6408 Philippines Benevolent Missionaries 6409 Philippines General Council of the Assemblies of God 6410 Potter's House Christian Center 6411 Salvation Army Philippines 6412 Take the Nation for Jesus Global Ministries (Corpus Christi) 6413 UNIDA Evangelical Church 6414 Union Espiritista Cristiana de Filipinas, Incorporated 6415 United Church of Christ in the Philippines 6416 United Evangelical Church of the Philippines (Chinese) 6417 Victory Chapel Christian Fellowship 6418 Wesleyan Church 6419 World Missionary Evangelism 6420 Worldwide Church of God 6421 Zion Christian Community Church 6422 Other Christian, Portugal 6423 Other Christian, Romania 6424 Greek Catholic 6425 Reformed Church 6426 Evangelic of Augustan Confession 6427 Evangelic Synodo-Presbyterian 6428 Christian of Old Rite 6429 Christian by Gospel 6430 Evangelic 6431 Other Christian, Rwanda 2002 6432 Other Christian, Sierra Leone 6433 Other Christian, Slovak Republic 6434 Old Catholic 6435 Greek Catholic 6436 Christian Reformed 6437 Other Christian, South Africa 6438 Reformed 6439 International Fellowship of Christian Churches 6440 Apostolic Faith Mission of SA 6441 Other Apostolic Churches 6442 Pinkster Protestant Church 6443 Afrikaanse Protestant Church 6444 Full Gospel Church of God in Southern Africa 6445 Pentecostal Churches 6446 Salvation Army 6447 Bandla Lama Nazaretha 6448 African Methodist Episcopal Church 6449 St John's Apostolic Church 6450 International Pentecost Church 6451 Ethiopian type churches 6452 Ethnic churches 6453 Other African Independent Churches 6454 Other Christian Churches 6455 Other Catholic Churches 6456 Other Pentecostal Churches 6457 Other Orthodox Churches 6458 Other African Apostolic churches 6459 Other Assemblies 6460 Christian Scientist 6461 Christian Centres 6462 Other Evangelical Churches 6463 Other Charismatic Churches 6464 Just a Christian or non-denominational 6465 Other 6466 Other Christian, Suriname 6467 Other Christian 6468 Other Christian, Saint Lucia 6469 Church of God 6470 Other Christian, Senegal 6471 Other Christian 6472 Other Christian, Switzerland 6473 Other protestant churches and communities 6474 Christ-Catholic church 6475 Other Christian communities 6476 Other Christian, Trinidad and Tobago 6477 Church of God 6478 African Methodist Espiscopalians 6479 Brethren, Christian or Plymouth 6480 Church of Christ 6481 Gospel Hall or Gospel Missionary 6482 Nazarenes 6483 Pilgrim Holiness 6484 Ethiopian Orthodox 6485 Open Bible Church 6486 Assemblies of Yahweh 6487 Evangelical Church of West Indies 6488 Christadelphian 6489 Full Gospel Fellowship 6490 Dutch Reform 6491 Christian Brotherhood Assembly 6492 Other Christian, Uganda 6493 Other Christian 6494 Salvation Army 6495 Other Christian non-Catholic, Uruguay 6496 Other Christian non-Catholic, Guatemala 6497 Other Christian, Togo 7000 Other 7001 Bahai 7002 Sikh 7003 Rastafarian 7100 Other, Armenia 7101 Pagan 7102 Shar-fadinian 7103 Other, Austria 7104 Unification Church, Austria 7105 Other, Benin 7106 Traditional 7107 Vodoun 7108 Other, Botswana 7109 Badimo 7110 Other, Brazil 7111 Spiritist 7112 Kardecist Spiritist 7113 Afro Spiritist 7114 Mediumistic Spiritist 7115 Umbandist Mediumistic 7116 Candomblecist Mediumistic 7117 Other Afro-Brazilian 7118 Oriental, Brazil 7119 New Oriental 7120 Oriental Seicho No-le 7121 Other Oriental, Brazil 7122 Esoteric, Brazil 7123 Indigenous, Brazil 7124 Other minority groups, Brazil 7125 Other, Burkina Faso 7126 Animist 7127 Other, Cameroon 7128 Animist 7129 Other, Canada 7130 Eastern religions, Canada 7131 Other, Chile 7132 Theosophism 7133 Shintoism 7134 Other, Ethiopia 7135 Traditional 7136 Other, Ethiopia 7137 Other, Fiji 7138 Confucian 7139 Kabir Panthi 7140 Satya Sai Baba 7141 Bahai 7142 Other non-Christian, Fiji 7143 Other, Germany 7144 Other, Germany 7145 Other, Ghana 7146 Traditional, Ghana 7147 Other, Guinea 7148 Animist 7149 Other, Guinea 7150 Other, Haiti 7151 Voodoo 7152 Other, India 7153 Jainism 7154 Zoroastrianism 7155 Other, India 7156 Other, Indonesia 7157 Confucianism 7158 Other, Indonesia 7159 Other, Iran 7160 Zoroastrian 7161 Other, Iran 7162 Other, Ivory Coast 7163 Animist 7164 Harrist 7165 Other, Jamaica 7166 Muslim/Hindu 7167 Other, Israel 7168 Druse 7169 Other, Israel 7170 Other, Laos 7171 Animist 7172 Other, Liberia 7173 Traditional 7174 Other, Malaysia 7175 Confucianism/Taoism 7176 Tribal/Folk religion, Malaysia 7177 Other, Mali 7178 Animist 7179 Other, Mexico 7180 Brahmanism 7181 Hare Krishna 7182 Shintoism 7183 Taoism 7184 Mexican Movements 7185 Ananda Marga 7186 Church of Scientology 7187 Masons 7188 Raelian Movement 7189 New Age Movement 7190 Neoisraelites 7191 Occultists 7192 Palmar of Troya 7193 Rose Cross 7194 Theosophism 7195 Spiritualist Special Keys 7196 Onkaranada Center 7197 Confucianism 7198 Shia 7199 Universal Great Brotherhood 7200 Esoteric Science 7201 Gnosticism 7202 Metaphysics 7203 Wicca 7204 Shamanism 7205 The Custom 7206 Mexicayotl 7207 Restorative Confederate Movement of Anahuac Culture 7208 African Origin 7209 Indigenous Religions 7210 Growing in Grace 7211 Eckankar 7212 Transcendental Meditation 7213 Mission Branch 7214 Children of God 7215 Sri Sathya Sai Baba 7216 Other religions from Asia 7217 Ethnic roots 7218 Afro roots 7219 Popular cults 7220 Other new religious movements 7221 Other, Nepal 7222 Kirat 7223 Jain 7224 Garaute 7225 Tap jura 7226 Bon 7227 Prakriti 7228 Other, Nigeria 7229 Traditional 7230 Other, Pakistan 7231 Ahmadi 7232 Parsi 7233 Scheduled caste 7234 Other, Paraguay 7235 Philosophical revelations 7236 Indigenous religion 7237 Reyukai 7238 Other, Paraguay 7239 Other, Philippines 7240 Door of Faith 7241 Faith Tabernacle Church (Living Rock Ministries) 7242 Iglesia Filipina Independiente 7243 International One Way Outreach 7244 Miracle Life Fellowship International 7245 Miracle Revival Church of the Philippines 7246 Philippine Good News Ministries 7247 Philippine Missionary fellowship 7248 Things to Come 7249 Way of Salvation 7250 Word of the World 7251 Word International Ministries 7252 Tribal Religions, Philippines 7253 Other, Romania 7254 Unitarian 7255 Armenian 7256 Mosaic 7257 Other, Romania 7258 Other, Rwanda 7259 Traditional religion, Rwanda 7260 Other, Rwanda 7261 Other, Sierra Leone 7262 Traditional religion, Sierra Leone 7263 Other, South Africa 7264 African traditional belief 7265 Taoist 7266 Confucian 7267 New Age 7268 Winti 7269 Javanism 7270 Other non-Christian, S. Africa 7271 Other, Suriname 7272 Javanism 7273 Traditional 7274 Winti 7275 Other, Thailand 7276 Confucian 7277 Other, Trinidad and Tobago 7278 Pocamania or Shango 7279 Orisha 7280 Other, Uganda 7281 Traditional religion 7282 Mammon 7283 Other non-Christian, Uganda 7284 Other, United Kindom 7285 Other, Uruguay 7286 Umbanda/other Afro-American 7287 Other, Uruguay 7288 Other, Vietnam 7289 Cao Dai 7290 Cham Brahmin 7296 Other, Togo 7297 Animist 7900 Other, not elsewhere classified 9999 Unknown Ethnicity and Language Variables -- PERSON School attendance SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census. 0 NIU (not in universe) 1 Yes 2 No, not specified 3 No, attended in the past 4 No, never attended 9 Unknown/missing Education Variables -- PERSON Educational attainment, international recode [general version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 0 NIU (not in universe) 1 Less than primary completed 2 Primary completed 3 Secondary completed 4 University completed 9 Unknown Education Variables -- PERSON Educational attainment, international recode [detailed version] EDATTAIN records the person's educational attainment in terms of the level of schooling completed (degree or other milestone). The emphasis on level completed is critical: a person attending the final year of secondary education receives the code for having completed lower secondary only -- and in some samples only primary. EDATTAIN does not necessarily reflect any particular country's definition of the various levels of schooling in terms of terminology or the number of years of schooling. EDATTAIN is an attempt to merge -- into a single, roughly comparable variable -- samples that provide degrees, ones that provide actual years of schooling, and those that have some of both. In addition to EDATTAIN, a country-specific education classification is provided which loses no information and reflects the particular educational system of that country (for example EDUCBR for Brazil, EDUCCL for Chile, and EDUCUS for the United States). As always, users can refer to the original education source variables for each sample, if they wish. Many samples also give single years of schooling completed, recorded in YRSCHOOL. Some samples provide educational information in a form that could not be incorporated into EDATTAIN. 000 NIU (not in universe) 100 Less than primary completed (n.s.) 110 No schooling 120 Some primary completed 130 Primary (4 yrs) completed 211 Primary (5 yrs) completed 212 Primary (6 yrs) completed 221 Lower secondary general completed 222 Lower secondary technical completed 311 Secondary, general track completed 312 Some college completed 320 Secondary or post-secondary technical completed 321 Secondary, technical track completed 322 Post-secondary technical education 400 University completed 999 Unknown/missing Education Variables -- PERSON Educational attainment, Austria EDUCAT indicates the highest educational level in Austria that the person completed. 00 NIU (not in universe) 10 Primary education 20 Compulsory (lower) secondary school 30 Upper secondary education 31 Higher general secondary 32 Higher technical and vocational secondary school 33 Intermediate technical and vocational school 34 Apprenticeship training 40 Non-university education 41 Technical or vocational course 42 (Academic) Intermediate degrees 50 University, college 60 Doctorate 99 Unknown Education Variables -- PERSON Educational attainment, Europe 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. 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 Education Variables -- PERSON Activity status (employment status) [general version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 0 NIU (not in universe) 1 Employed 2 Unemployed 3 Inactive 9 Unknown/missing Work Variables -- PERSON Activity status (employment status) [detailed version] EMPSTAT indicates whether or not the respondent was part of the labor force -- working or seeking work -- over a specified period of time. Depending on the sample, EMPSTAT can also convey further information. The first digit of EMPSTAT is fully comparable, and classifies the population into three groups: employed, unemployed, and inactive. The combination of employed and unemployed yields the total labor force. The second and third digits of EMPSTAT preserve additional information available for some countries and census years but not for others. Employment status is sometimes referred to in other sources as "activity status". 000 NIU (not in universe) 100 Employed, not specified 110 At work 111 At work, and 'student' 112 At work, and 'housework' 113 At work, and 'seeking work' 114 At work, and 'retired' 115 At work, and 'no work' 116 At work, and other situation 117 At work, family holding, not specified 118 At work, family holding, not agricultural 119 At work, family holding, agricultural 120 Have job, not at work in reference period 130 Armed forces 131 Armed forces, at work 132 Armed forces, not at work in reference period 133 Military trainee 140 Marginally employed 200 Unemployed, not specified 201 Unemployed 6 or more months 202 Worked fewer than 6 months, permanent job 203 Worked fewer than 6 months, temporary job 210 Unemployed, experienced worker 220 Unemployed, new worker 230 No work available 240 Inactive unemployed 300 Inactive (not in labor force) 301 Unavailable jobseekers 302 Available potential jobseekers 310 Housework 320 Health reasons, unable to work, or disabled 321 Permanent disability 322 Temporary illness 323 Disabled or imprisoned 330 In school 340 Retirees and living on rent 341 Living on rents 342 Living on rents or pension 343 Retirees/pensioners 344 Retired 345 Pensioner 346 Non-retirement pension 347 Disability pension 348 Retired without benefits 350 Elderly 351 Elderly or disabled 360 Institutionalized 361 Prisoner 370 Intermittent worker 371 Not working, seasonal worker 372 Not working, occasional worker 380 Other income recipient 390 Inactive, other reasons 391 Too young to work 392 Dependent 999 Unknown/missing Work Variables -- PERSON Activity status (employment status), Europe 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. 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 Work Variables -- PERSON Labor force participation LABFORCE is a dichotomous variable identifying whether a person participated in the labor force. Labor force participation generally means working or seeking work within a specified reference period. For most samples LABFORCE is a recode of EMPSTAT (employment status). A consistent lower age universe of 15 or older has been applied to increase comparability across samples. Full detail is retained in EMPSTAT, which should be used for any study of child labor. 1 No, not in the labor force 2 Yes, in the labor force 8 Unknown 9 NIU (not in universe) Work Variables -- PERSON Occupation, ISCO general OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money. 01 Legislators, senior officials and managers 02 Professionals 03 Technicians and associate professionals 04 Clerks 05 Service workers and shop and market sales 06 Skilled agricultural and fishery workers 07 Crafts and related trades workers 08 Plant and machine operators and assemblers 09 Elementary occupations 10 Armed forces 11 Other occupations, unspecified or n.e.c. 97 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Occupation, unrecoded OCC records the person's primary occupation, classified according to the system used by the respective national census office at the time. For someone with more than one job, the primary occupation is usually the one in which the person spent the most time or earned the most money, although this may not have been explicit in the instructions for a specific census. To ensure confidentiality, very small occupations are recoded to a residual category indicating the persons had an occupation, but the job title is not identified. The number of cases recoded should be too small to affect analyses. OCC is a 4-digit numeric variable. Some samples use fewer than 4 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_OCC3 - Occupation [3 digit] Argentina 1980 - see Variable: AR1980A_OCC - Occupation Argentina 1991 - see Variable: AR1991A_OCC - Occupation Argentina 2001 - see Variable: AR2001A_OCC4 - Occupation (4-digits) Armenia 2011 - see Variable: AM2011A_OCC - Occupation Austria 1971 - see Variable: AT1971A_OCCSM - Occupation of supporter: sub-major groups Austria 1981 - see Variable: AT1981A_OCCSM - Occupation of supporter: sub-major groups Austria 1991 - see Variable: AT1991A_OCCSM - Occupation of supporter: sub-major groups Austria 2001 - see Variable: AT2001A_OCCSM - Occupation of supporter: sub-major groups Belarus 1999 - see Variable: BY1999A_OCC2 - Occupation, 2 digits Belarus 2009 - see Variable: BY2009A_OCC - Occupation Benin 1979 - see Variable: BJ1979A_OCC - Occupation (2-digits) Benin 1992 - see Variable: BJ1992A_OCC3 - Occupation (3-digits) Benin 2002 - see Variable: BJ2002A_OCC - Occupation (3-digits) Benin 2013 - see Variable: BJ2013A_OCC - Occupation (3-digit) Bolivia 1976 - see Variable: BO1976A_OCC2 - Occupation, 2 digits Bolivia 1992 - see Variable: BO1992A_OCC - Occupation Bolivia 2001 - see Variable: BO2001A_OCC - Occupation, 3 digits Bolivia 2012 - see Variable: BO2012A_OCC2 - Occupation (3 digit) Botswana 1981 - see Variable: BW1981A_OCC - Occupation Botswana 1991 - see Variable: BW1991A_OCC - Occupation (last 30 days) Botswana 2001 - see Variable: BW2001A_OCC - Occupation in the past 7 days, 3 digit Botswana 2011 - see Variable: BW2011A_OCC - Occupation, 3-digits Brazil 1960 - see Variable: BR1960A_USUALOCC - Usual occupation Brazil 1970 - see Variable: BR1970A_MAINOCC - Principal occupation Brazil 1980 - see Variable: BR1980A_OCC - Occupation Brazil 1991 - see Variable: BR1991A_OCC - Occupation Brazil 2000 - see Variable: BR2000A_OCC - Occupation, 4 digits Brazil 2010 - see Variable: BR2010A_OCC - Occupation held from July 25 to July 31, 2010 Burkina Faso 1985 - see Variable: BF1985A_OCC - Principal occupation Burkina Faso 1996 - see Variable: BF1996A_OCC - Principal occupation Cambodia 1998 - see Variable: KH1998A_OCC - Occupation Cambodia 2004 - see Variable: KH2004A_OCC3 - Occupation (3-digits) Cambodia 2008 - see Variable: KH2008A_OCC - Occupation Cambodia 2013 - see Variable: KH2013A_OCC - Occupation (3-digits) Cambodia 2019 - see Variable: KH2019A_OCC1 - Occupation, 1-digit Cameroon 1976 - see Variable: CM1976A_OCC2 - Occupation (2 digits) Cameroon 2005 - see Variable: CM2005A_OCC - Occupation Canada 1971 - see Variable: CA1971A_OCC - Occupation Canada 1981 - see Variable: CA1981A_OCC - Occupation (1981 classification basis) Canada 1991 - see Variable: CA1991A_OCC80 - Occupation (1980 classification basis) Canada 2001 - see Variable: CA2001A_NOCS01P - Occupation (2001 national occupational classification for statistics) Canada 2011 - see Variable: CA2011A_OCC - Occupation Chile 1960 - see Variable: CL1960A_OCC - Occupation Chile 1970 - see Variable: CL1970A_OCC3 - Occupation (3-digit) Chile 1982 - see Variable: CL1982A_OCC3 - Occupation (3-digit) Chile 1992 - see Variable: CL1992A_OCC3 - Occupation (3-digit) Chile 2002 - see Variable: CL2002A_OCC - Occupation China 1982 - see Variable: CN1982A_OCC - Occupation China 1990 - see Variable: CN1990A_OCC - Occupation China 2000 - see Variable: CN2000A_OCC - Occupation (2-digit) Colombia 1964 - see Variable: CO1964A_OCC2 - Occupation (COTA, 4 digits) Colombia 1973 - see Variable: CO1973A_OCC - Occupation last week Costa Rica 1973 - see Variable: CR1973A_OCC3 - Occupation, 3 digits Costa Rica 1984 - see Variable: CR1984A_OCC - Occupation, 3 digits Costa Rica 2000 - see Variable: CR2000A_OCC3 - Occupation, 3 digits Costa Rica 2011 - see Variable: CR2011A_OCC - Occupation, 2-digit Cuba 2002 - see Variable: CU2002A_OCC - Occupation Cuba 2012 - see Variable: CU2012A_OCC3 - Main occupation (3-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_OCC2 - Current occupation (2-digit) Dominican Republic 1960 - see Variable: DO1960A_OCC - Occupation Dominican Republic 1970 - see Variable: DO1970A_OCC1 - Current occupation, 3 digits Dominican Republic 1981 - see Variable: DO1981A_OCC - Occupation Dominican Republic 2002 - see Variable: DO2002A_OCC - Occupation Dominican Republic 2010 - see Variable: DO2010A_OCC - Occupation Ecuador 1962 - see Variable: EC1962A_OCC - Occupation Ecuador 1974 - see Variable: EC1974A_OCC3 - Occupation, three digits Ecuador 1982 - see Variable: EC1982A_OCC3 - Occupation, 3 digits Ecuador 1990 - see Variable: EC1990A_OCC3 - Occupation, 3 digits Ecuador 2001 - see Variable: EC2001A_OCC - Occupation, 3 digits Ecuador 2010 - see Variable: EC2010A_OCC3 - Occupation (3 digits, ISCO 08) Egypt 1986 - see Variable: EG1986A_OCC3 - Occupation (3-digit) Egypt 2006 - see Variable: EG2006A_OCC - Primary occupation, 3-digit El Salvador 1992 - see Variable: SV1992A_OCC - Occupation (3-digit) El Salvador 2007 - see Variable: SV2007A_OCC3DIG - Occupation (3-digit) Ethiopia 1984 - see Variable: ET1984A_OCC2 - Occupation (2-digit) Ethiopia 1994 - see Variable: ET1994A_OCC - Occupation Fiji 1976 - see Variable: FJ1976A_OCC - Occupation Fiji 1986 - see Variable: FJ1986A_OCC - Occupation Fiji 1996 - see Variable: FJ1996A_OCC3 - Occupation (3 digits) Fiji 2007 - see Variable: FJ2007A_OCC3 - Occupation, 3 digits Fiji 2014 - see Variable: FJ2014A_OCC3 - Occupation (3 digits) Finland 2010 - see Variable: FI2010A_OCC - Occupation France 1962 - see Variable: FR1962A_SOCCUP - SAPHIR occupation France 1968 - see Variable: FR1968A_SOCC - SAPHIR occupation France 1975 - see Variable: FR1975A_SOCC - SAPHIR occupation France 1982 - see Variable: FR1982A_SOCC - SAPHIR occupation France 1990 - see Variable: FR1990A_SOCC - Saphir occupation France 1999 - see Variable: FR1999A_OCC - Occupation, ISCO France 2006 - see Variable: FR2006A_PROF486 - Detailed profession (4-digit) France 2011 - see Variable: FR2011A_PROF - Profession, 486 categories Germany 1970 - see Variable: DE1970A_OCC - Occupation Germany 1981 - see Variable: DE1981A_OCC - Occupation Germany 1987 - see Variable: DE1987A_OCC - Occupation Ghana 1984 - see Variable: GH1984A_OCC2 - Occupation, 2 digits Ghana 2000 - see Variable: GH2000A_OCC - Occupation Ghana 2010 - see Variable: GH2010A_OCC - Occupation (major groups) Greece 1971 - see Variable: GR1971A_OCC - Occupation Greece 1981 - see Variable: GR1981A_OCC - Occupation Greece 1991 - see Variable: GR1991A_OCC - Occupation Greece 2001 - see Variable: GR2001A_OCC - Occupation Greece 2011 - see Variable: GR2011A_OCC - Occupation Guatemala 1964 - see Variable: GT1964A_OCC3 - Occupation (3-digits) Guatemala 1973 - see Variable: GT1973A_OCC3 - Principal occupation (3-digits) Guatemala 1981 - see Variable: GT1981A_OCC3 - Principal occupation (3-digits) Guatemala 1994 - see Variable: GT1994A_OCC - Principal occupation (1-digit) Guatemala 2002 - see Variable: GT2002A_OCC3 - Principal occupation (3-digits) Guinea 1983 - see Variable: GN1983A_OCC2 - Occupation, 2 digits Guinea 1996 - see Variable: GN1996A_OCC - Occupation Guinea 2014 - see Variable: GN2014A_OCC - Occupation (3-digit) Haiti 1982 - see Variable: HT1982A_OCC - Main occupation or profession Haiti 2003 - see Variable: HT2003A_OCC2 - Occupation, 3 digits Honduras 1961 - see Variable: HN1961A_OCC - Occupation (2-digits) Honduras 1974 - see Variable: HN1974A_OCC2 - Occupation (3-digits) Honduras 1988 - see Variable: HN1988A_OCC4 - Occupation (4-digits) Honduras 2001 - see Variable: HN2001A_OCC - Occupation (4-digit) Honduras 2013 - see Variable: HN2013A_OCC3 - Occupation (3-digit) Hungary 1970 - see Variable: HU1970A_OCC - Occupation Hungary 1980 - see Variable: HU1980A_OCC - Occupation, scope of activity Hungary 1990 - see Variable: HU1990A_OCC - Occupation Hungary 2001 - see Variable: HU2001A_OCC - Occupation Hungary 2011 - see Variable: HU2011A_OCC - Occupation Indonesia 1971 - see Variable: ID1971A_OCC - Occupation Indonesia 1976 - see Variable: ID1976A_OCC - Primary occupation during past week Indonesia 1980 - see Variable: ID1980A_OCC - Primary occupation during the previous week (3 digit version) Indonesia 1985 - see Variable: ID1985A_OCC - Primary occupation Indonesia 1990 - see Variable: ID1990A_OCC - Main occupation last week Indonesia 1995 - see Variable: ID1995A_OCC - Occupation Indonesia 2005 - see Variable: ID2005A_OCC - Occupation Iran 2006 - see Variable: IR2006A_OCC4 - Occupation Iran 2011 - see Variable: IR2011A_OCC - Occupation (3-digit) Iraq 1997 - see Variable: IQ1997A_OCC - Occupation Ireland 1971 - see Variable: IE1971A_OCC - Occupation Ireland 1981 - see Variable: IE1981A_OCC - Occupation Ireland 1986 - see Variable: IE1986A_OCC - Occupation group Ireland 1991 - see Variable: IE1991A_OCC - Occupation group Ireland 1996 - see Variable: IE1996A_OCC - Occupation Ireland 2002 - see Variable: IE2002A_OCC - Occupation Ireland 2006 - see Variable: IE2006A_OCC - Occupation group Ireland 2011 - see Variable: IE2011A_OCC - Occupation (shuffled) Ireland 2016 - see Variable: IE2016A_OCC - Occupation (groups) Israel 1972 - see Variable: IL1972A_OCC - Occupation Israel 1983 - see Variable: IL1983A_OCC - Occupation Israel 1995 - see Variable: IL1995A_OCC - Occupation Israel 2008 - see Variable: IL2008A_OCC - Occupation Italy 2001 - see Variable: IT2001A_OCC - Occupation Italy 2011 - see Variable: IT2011A_WKTYPE - Type of work Jamaica 1982 - see Variable: JM1982A_OCC - Occupation during past week / in last job Jamaica 1991 - see Variable: JM1991A_OCC - Occupation during past week/in last job Jamaica 2001 - see Variable: JM2001A_OCC3 - Occupation 3-digit Jordan 2004 - see Variable: JO2004A_OCC3 - Major current occupation (3-digit) Kenya 1989 - see Variable: KE1989A_OCC4 - Occupation, 4 digits Kenya 2019 - see Variable: KE2019A_OCC3 - Occupation (3-digit) Kyrgyzstan 1999 - see Variable: KG1999A_OCC - Main activity Laos 1995 - see Variable: LA1995A_OCC1 - Main occupation in the last 12 months (1-digit) Lesotho 1996 - see Variable: LS1996A_OCC - Occupation (2-digits) Lesotho 2006 - see Variable: LS2006A_OCC - Occupation (2-digits) Liberia 1974 - see Variable: LR1974A_OCC2 - Occupation (2-digit) Liberia 2008 - see Variable: LR2008A_OCC - Occupation Malawi 1987 - see Variable: MW1987A_OCC2 - Occupation, 2 digit Malawi 1998 - see Variable: MW1998A_OCC2 - Occupation, 2-digit Malawi 2008 - see Variable: MW2008A_OCC2 - Occupation (2 digits) Malawi 2018 - see Variable: MW2018A_OCC1 - Main occupation (1-digit) Malaysia 1970 - see Variable: MY1970A_OCC - Occupation last week Malaysia 1980 - see Variable: MY1980A_OCC3 - Principal occupation last week (3 digits) Malaysia 1991 - see Variable: MY1991A_OCC3 - Principal occupation (3 digits) Malaysia 2000 - see Variable: MY2000A_OCC3 - Occupation -- 3 digits Mali 1987 - see Variable: ML1987A_OCC - Occupation last month Mali 1998 - see Variable: ML1998A_OCC - Main occupation Mali 2009 - see Variable: ML2009A_OCC - Principal occupation Mauritius 1990 - see Variable: MU1990A_OCC3 - Occupation (3-digit) Mauritius 2000 - see Variable: MU2000A_OCC4 - Occupation (4 digit) Mauritius 2011 - see Variable: MU2011A_OCC4 - Occupation (4-digit) Mexico 1960 - see Variable: MX1960A_OCC2 - Principal occupation, 2 digits Mexico 1970 - see Variable: MX1970A_OCC3 - Occupation 3 digit Mexico 1990 - see Variable: MX1990A_OCC - Occupation, 4 digits Mexico 1995 - see Variable: MX1995A_OCC - Occupation Mexico 2000 - see Variable: MX2000A_OCC4 - Occupation, 4 digits Mexico 2010 - see Variable: MX2010A_OCC - Occupation or trade Mexico 2015 - see Variable: MX2015A_OCC - Occupation Mexico 2020 - see Variable: MX2020A_OCC3 - Occupation (3-digits) Mongolia 2000 - see Variable: MN2000A_OCC - Occupation Mongolia 2010 - see Variable: MN2010A_OCC3 - Occupation 3 digits (ISCO-2008) Mongolia 2020 - see Variable: MN2020A_OCC3 - Occupation (3-digit) Morocco 1982 - see Variable: MA1982A_OCC3 - Occupation (3-digit) Morocco 1994 - see Variable: MA1994A_OCC3 - Occupation, 3-digit Morocco 2004 - see Variable: MA2004A_OCC3 - Occupation (3-digit) Morocco 2014 - see Variable: MA2014A_OCC2 - Occupation (2-digit) Mozambique 1997 - see Variable: MZ1997A_OCC2 - Occupation 3-digit Mozambique 2007 - see Variable: MZ2007A_OCC - Occupation Mozambique 2017 - see Variable: MZ2017A_OCC3 - Main occupation (3-digits ISCO 2008) Myanmar 2014 - see Variable: MM2014A_OCC - Occupation Nepal 2001 - see Variable: NP2001A_OCC - Usual occupation Nepal 2011 - see Variable: NP2011A_OCC1 - Occupation (1-digit) Netherlands 1960 - see Variable: NL1960A_OCC - Occupation Netherlands 1971 - see Variable: NL1971A_OCC - Occupation Netherlands 2001 - see Variable: NL2001A_OCC - Occupation Netherlands 2011 - see Variable: NL2011A_OCC - Occupation (1-digit) Nicaragua 1971 - see Variable: NI1971A_OCC - Occupation Nicaragua 1995 - see Variable: NI1995A_OCC - Occupation (ISCO 88, 3 digits) Nicaragua 2005 - see Variable: NI2005A_OCC3 - Occupation (ISCO 88, 3 digits) Pakistan 1973 - see Variable: PK1973A_OCC3 - Occupation Palestine 1997 - see Variable: PS1997A_OCC - Main occupation Palestine 2007 - see Variable: PS2007A_OCC - Main occupation Palestine 2017 - see Variable: PS2017A_OCC - Occupation Panama 1960 - see Variable: PA1960A_OCC4 - Occupation (4-digit) Panama 1970 - see Variable: PA1970A_OCC2 - Occupation, 2-digit Panama 1980 - see Variable: PA1980A_OCC2 - Occupation (3-digit) Panama 1990 - see Variable: PA1990A_OCC - Occupation Panama 2000 - see Variable: PA2000A_OCC - Occupation Panama 2010 - see Variable: PA2010A_OCC - Occupation, 3 digits Papua New Guinea 1980 - see Variable: PG1980A_OCC - Occupation, 3 digits Papua New Guinea 1990 - see Variable: PG1990A_OCC - Occupation Papua New Guinea 2000 - see Variable: PG2000A_OCC - Occupation (4-digit) Paraguay 1962 - see Variable: PY1962A_OCC1 - Occupation (1-digit) Paraguay 1972 - see Variable: PY1972A_OCC3 - Occupation (3 digits) Paraguay 1982 - see Variable: PY1982A_OCC3 - Occupation, 3-digits Paraguay 1992 - see Variable: PY1992A_OCC2 - Main occupation, 3 digits Paraguay 2002 - see Variable: PY2002A_OCC - Occupation (4 digits) Peru 1993 - see Variable: PE1993A_OCC - Occupation (3 digits) Peru 2007 - see Variable: PE2007A_OCC - Main occupation last week (3 digits) Peru 2017 - see Variable: PE2017A_OCC1 - Occupation (1-digit, in primary job last week) Philippines 1990 - see Variable: PH1990A_OCC - Occupation Philippines 2000 - see Variable: PH2000A_OCC - Occupation Philippines 2010 - see Variable: PH2010A_OCC3 - Usual occupation (3-digit) Poland 1978 - see Variable: PL1978A_OCC - Occupation Poland 1988 - see Variable: PL1988A_OCC - Main occupation Poland 2002 - see Variable: PL2002A_OCC - Occupation Portugal 1981 - see Variable: PT1981A_OCC - Main occupation Portugal 1991 - see Variable: PT1991A_OCC - Main occupation Portugal 2001 - see Variable: PT2001A_OCC - Main occupation Portugal 2011 - see Variable: PT2011A_OCC - Main occupation Puerto Rico 1970 - see Variable: PR1970A_OCC - Occupation Puerto Rico 1980 - see Variable: PR1980A_OCC - Occupation Puerto Rico 1990 - see Variable: PR1990A_OCC - Occupation Puerto Rico 2000 - see Variable: PR2000A_OCC - Occupation Puerto Rico 2005 - see Variable: PR2005A_OCC - Occupation Puerto Rico 2010 - see Variable: PR2010A_OCC - Occupation Puerto Rico 2015 - see Variable: PR2015A_OCC - Occupation last week Puerto Rico 2020 - see Variable: PR2020A_OCC2010 - Occupation last week, 2010 basis Romania 1992 - see Variable: RO1992A_OCC - Occupation Romania 2002 - see Variable: RO2002A_OCC4 - Occupation, 4 digits Romania 2011 - see Variable: RO2011A_OCC - Occupation (unrecoded) Rwanda 2002 - see Variable: RW2002A_OCC - Occupation Rwanda 2012 - see Variable: RW2012A_OCC2 - Occupation (3-digit) Saint Lucia 1991 - see Variable: LC1991A_OCC - Occupation Senegal 1988 - see Variable: SN1988A_OCC - Occupation Senegal 2002 - see Variable: SN2002A_OCC3 - Occupation, 3 digits Senegal 2013 - see Variable: SN2013A_OCC3 - Profession or occupation (3-digit) Sierra Leone 2004 - see Variable: SL2004A_OCC - Occupation Sierra Leone 2015 - see Variable: SL2015A_OCC - Main occupation in the past 12 months Slovakia 1991 - see Variable: SK1991A_OCC - Occupation (2-digit) Slovakia 2001 - see Variable: SK2001A_OCC2 - Occupation (2-digit) Slovakia 2011 - see Variable: SK2011A_OCC2 - Occupation (2-digit) Slovenia 2002 - see Variable: SI2002A_OCC - Occupation South Africa 1996 - see Variable: ZA1996A_OCC3 - Occupation, 3 digits South Africa 2001 - see Variable: ZA2001A_OCC - Occupation, 3 digit South Africa 2007 - see Variable: ZA2007A_OCC3 - Occupation, 3 digits South Sudan 2008 - see Variable: SS2008A_OCC - Occupation Spain 1981 - see Variable: ES1981A_OCC - Occupation Spain 1991 - see Variable: ES1991A_OCC - Occupation Spain 2001 - see Variable: ES2001A_OCC - Occupation Spain 2011 - see Variable: ES2011A_OCC - Occupation, 2-digits Sudan 2008 - see Variable: SD2008A_OCC - Occupation Suriname 2004 - see Variable: SR2004A_OCC - Occupation Suriname 2012 - see Variable: SR2012A_OCC - Occupation (groups) Switzerland 1970 - see Variable: CH1970A_ISCO - Present occupation (ISCO) Switzerland 1980 - see Variable: CH1980A_ISCO - Present occupation (ISCO-COM) Switzerland 1990 - see Variable: CH1990A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2000 - see Variable: CH2000A_ISCO4 - Present occupation (ISCO-COM) Switzerland 2011 - see Variable: CH2011A_OCC - Current occupation (1-digit, ISCO-08) Tanzania 1988 - see Variable: TZ1988A_OCC - Occupation Tanzania 2002 - see Variable: TZ2002A_OCC - Occupation last week Tanzania 2012 - see Variable: TZ2012A_OCC - Occupation Thailand 1970 - see Variable: TH1970A_OCC - Principal occupation last year Thailand 1980 - see Variable: TH1980A_OCC - Occupation last year Thailand 1990 - see Variable: TH1990A_OCC3 - Occupation last year Thailand 2000 - see Variable: TH2000A_OCC3 - Occupation last year, 3 digits Togo 1960 - see Variable: TG1960A_OCC - Occupation (3-digits) Togo 1970 - see Variable: TG1970A_OCC3 - Occupation (3-digits) Togo 2010 - see Variable: TG2010A_OCC2 - Occupation (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_OCC - Main occupation (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_OCC - Main occupation during previous week (three digits) Trinidad and Tobago 2000 - see Variable: TT2000A_OCC - Main occupation (3 digits) Turkey 1985 - see Variable: TR1985A_OCC2 - Occupation (2-digit) Turkey 1990 - see Variable: TR1990A_OCC2 - Current occupation (2 digits) Turkey 2000 - see Variable: TR2000A_OCC2 - Current occupation, 2 digit Uganda 1991 - see Variable: UG1991A_OCC - Occupation, 3 digits Uganda 2002 - see Variable: UG2002A_OCC - Occupation, 3 digits Uganda 2014 - see Variable: UG2014A_OCC - Occupation (2-digits) United Kingdom 1961 - see Variable: UK1961A_OCC - Occupation United Kingdom 1971 - see Variable: UK1971A_OCC - Occupation United Kingdom 1991 - see Variable: UK1991A_OCC - Occupational classification United Kingdom 2001 - see Variable: UK2001A_OCC3 - Standard occupational classification 2000-minor United States 1960 - see Variable: US1960A_OCC - Occupation United States 1970 - see Variable: US1970A_OCC - Occupation United States 1980 - see Variable: US1980A_OCC - Occupation United States 1990 - see Variable: US1990A_OCC - Occupation United States 2000 - see Variable: US2000A_OCC - Occupation United States 2005 - see Variable: US2005A_OCC2000M - Occupation, 2000 basis, modal category assignment United States 2010 - see Variable: US2010A_OCC - Occupation United States 2015 - see Variable: US2015A_OCC - Occupation last week United States 2020 - see Variable: US2020A_OCC - Occupation last week Uruguay 1963 - see Variable: UY1963A_OCC2 - Primary occupation [2-digit] Uruguay 1975 - see Variable: UY1975A_OCC - Occupation (COTA, 3 digits) Uruguay 1985 - see Variable: UY1985A_OCC - Occupation during the past week Uruguay 1996 - see Variable: UY1996A_OCC - Occupation (ISCO 88, 3 digits) Uruguay 2006 - see Variable: UY2006A_OCC3 - Occupation (ISCO-88, 3 digits) Venezuela 1981 - see Variable: VE1981A_OCC3 - Occupation, 3 digits Venezuela 1990 - see Variable: VE1990A_OCC - Occupation, 3 digits Venezuela 2001 - see Variable: VE2001A_OCC - Occupation Vietnam 1989 - see Variable: VN1989A_OCC2 - Occupation, 2 digits Vietnam 1999 - see Variable: VN1999A_OCC3 - Occupation, 3 digit Vietnam 2009 - see Variable: VN2009A_OCC - Occupation Vietnam 2019 - see Variable: VN2019A_OCC1 - Occupation, 1 digit Zambia 1990 - see Variable: ZM1990A_OCC - Occupation Zambia 2000 - see Variable: ZM2000A_OCC - Main occupation last 12 months, 3 digits Zambia 2010 - see Variable: ZM2010A_OCC2 - Main occupation last 12 months, 3 digits Zimbabwe 2012 - see Variable: ZW2012A_OCC - Occupation (3-digits) Work Variables -- PERSON Industry, general recode INDGEN recodes the industrial classifications of the various samples into twelve groups that can be fairly consistently identified across all available samples. The groupings roughly conform to the International Standard Industrial Classification (ISIC). The third digit of INDGEN retains important detail among the service industries that could not be consistently distinguished in all samples. "Industry" refers to the activity or product of the establishment or sector in which a person worked. 000 NIU (not in universe) 010 Agriculture, fishing, and forestry 020 Mining and extraction 030 Manufacturing 040 Electricity, gas, water and waste management 050 Construction 060 Wholesale and retail trade 070 Hotels and restaurants 080 Transportation, storage, and communications 090 Financial services and insurance 100 Public administration and defense 110 Services, not specified 111 Business services and real estate 112 Education 113 Health and social work 114 Other services 120 Private household services 130 Other industry, n.e.c. 998 Response suppressed 999 Unknown Work Variables -- PERSON Industry, unrecoded "Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International. IND is a 5-digit numeric variable. Some samples use fewer than 5 digits. In those cases, the data are right-justified, and the extra leading digits are padded with zeroes. Argentina 1970 - see Variable: AR1970A_IND4 - Industry [4 digit] Argentina 1980 - see Variable: AR1980A_IND - Industry Argentina 1991 - see Variable: AR1991A_IND - Industry Argentina 2001 - see Variable: AR2001A_IND - Industry Armenia 2001 - see Variable: AM2001A_IND - Principal activity at place of work Armenia 2011 - see Variable: AM2011A_IND - Industry Austria 1971 - see Variable: AT1971A_INDBR - Economic activity of supporter: branch Austria 1981 - see Variable: AT1981A_INDBR - Economic activity of supporter: branch Austria 1991 - see Variable: AT1991A_INDBR - Economic activity of supporter: branch Austria 2001 - see Variable: AT2001A_INDBR - Economic activity of supporter: branch Austria 2011 - see Variable: AT2011A_IND - Industry Bangladesh 1991 - see Variable: BD1991A_IND - Industry Bangladesh 2001 - see Variable: BD2001A_IND - Main work field Bangladesh 2011 - see Variable: BD2011A_IND - Industry Belarus 2009 - see Variable: BY2009A_ECONACT - Industry Benin 1979 - see Variable: BJ1979A_IND - Industry (1-digit) Benin 1992 - see Variable: BJ1992A_IND3 - Industry (2-digits) Benin 2002 - see Variable: BJ2002A_IND2 - Industry (2-digits) Benin 2013 - see Variable: BJ2013A_IND3 - Industry (3-digit) Bolivia 1976 - see Variable: BO1976A_IND - Industry Bolivia 1992 - see Variable: BO1992A_IND3 - Activity, 3 digits Bolivia 2001 - see Variable: BO2001A_IND3 - Industry, 3 digits Bolivia 2012 - see Variable: BO2012A_IND2 - Industry (2 digit) Botswana 1981 - see Variable: BW1981A_IND - Industry Botswana 1991 - see Variable: BW1991A_IND - Industry Botswana 2001 - see Variable: BW2001A_IND - Industry Botswana 2011 - see Variable: BW2011A_IND - Industry, 3-digits Brazil 1960 - see Variable: BR1960A_INDUSTRY - Industry Brazil 1970 - see Variable: BR1970A_INDUSTRY - Industry Brazil 1980 - see Variable: BR1980A_INDUSTRY - Industry Brazil 1991 - see Variable: BR1991A_IND - Industry Brazil 2000 - see Variable: BR2000A_IND - Industry, 5 digits Brazil 2010 - see Variable: BR2010A_IND - Industry of work from July 25 to July 31, 2010 Burkina Faso 1996 - see Variable: BF1996A_IND - Branch of activity Cambodia 1998 - see Variable: KH1998A_IND - Industry Cambodia 2004 - see Variable: KH2004A_IND3 - Industry (3-digits) Cambodia 2008 - see Variable: KH2008A_IND - Industry Cambodia 2013 - see Variable: KH2013A_IND - Industry (3-digits) Cambodia 2019 - see Variable: KH2019A_IND3 - Industy (ISIC rev 4, 3-digit) Cameroon 2005 - see Variable: CM2005A_IND - Industry Canada 1971 - see Variable: CA1971A_IND - Industry Canada 1981 - see Variable: CA1981A_IND - Industry (1981 standard industrial classification) Canada 1991 - see Variable: CA1991A_IND80 - Industry (1980 standard industrial classification) Canada 2001 - see Variable: CA2001A_IND80P - Industry (1980 Standard Industrial Classification) Canada 2011 - see Variable: CA2011A_IND - Industry Chile 1960 - see Variable: CL1960A_IND - Industry Chile 1970 - see Variable: CL1970A_IND4 - Industry (4-digit) Chile 1982 - see Variable: CL1982A_IND4 - Industry (4-digit) Chile 1992 - see Variable: CL1992A_IND - Industry Chile 2002 - see Variable: CL2002A_IND - Industry Chile 2017 - see Variable: CL2017A_IND - Industry (1-digit) China 1982 - see Variable: CN1982A_INDUSTRY - Industry China 1990 - see Variable: CN1990A_IND - Industry China 2000 - see Variable: CN2000A_IND - Industry (2-digit) Colombia 1964 - see Variable: CO1964A_IND4 - Industry, 4 digits Colombia 1973 - see Variable: CO1973A_IND - Industry Colombia 1993 - see Variable: CO1993A_IND - Industry Colombia 2005 - see Variable: CO2005A_IND - Industry (2-digit) Costa Rica 1963 - see Variable: CR1963A_IND3 - Industry, 3 digits Costa Rica 1973 - see Variable: CR1973A_IND4 - Industry, 4 digits Costa Rica 1984 - see Variable: CR1984A_IND4 - Industry, 4 digits Costa Rica 2000 - see Variable: CR2000A_IND3 - Industry, 3 digits Costa Rica 2011 - see Variable: CR2011A_IND - Industry 2-digit Cuba 2002 - see Variable: CU2002A_IND - Industry Cuba 2012 - see Variable: CU2012A_IND - Industry Côte d'Ivoire 1988 - see Variable: CI1988A_IND - Industry (1-digit) Côte d'Ivoire 1998 - see Variable: CI1998A_IND2 - Industry sector (detailed) Dominican Republic 1960 - see Variable: DO1960A_IND - Industry Dominican Republic 1970 - see Variable: DO1970A_IND1 - Industry, 3 digits Dominican Republic 1981 - see Variable: DO1981A_IND - Industry (3-digit) Dominican Republic 2002 - see Variable: DO2002A_IND - Industry Dominican Republic 2010 - see Variable: DO2010A_IND - Main activity of business Ecuador 1962 - see Variable: EC1962A_IND3 - Industry, 3 digits Ecuador 1982 - see Variable: EC1982A_IND3 - Industry Ecuador 1990 - see Variable: EC1990A_IND3 - Industry, 3 digits Ecuador 2001 - see Variable: EC2001A_IND - Industry, 3 digits Ecuador 2010 - see Variable: EC2010A_IND3 - Industry (3 digits, ISIC rev 4) Egypt 1986 - see Variable: EG1986A_IND3 - Industry (3-digit) Egypt 1996 - see Variable: EG1996A_IND3 - Industry (ISIC) Egypt 2006 - see Variable: EG2006A_IND - Industry, 3-digit El Salvador 1992 - see Variable: SV1992A_IND - Industry (3-digit) El Salvador 2007 - see Variable: SV2007A_IND3DIG - Industry (3-digit) Ethiopia 1984 - see Variable: ET1984A_IND2 - Industry Ethiopia 1994 - see Variable: ET1994A_IND - Industry Fiji 1966 - see Variable: FJ1966A_IND - Industry Fiji 1976 - see Variable: FJ1976A_IND - Industry Fiji 1986 - see Variable: FJ1986A_IND - Industry 3 digits Fiji 1996 - see Variable: FJ1996A_IND2DIG - Industry (2 digits) Fiji 2007 - see Variable: FJ2007A_IND2 - Industry, 2 digits Fiji 2014 - see Variable: FJ2014A_IND - Industry Finland 2010 - see Variable: FI2010A_IND - Industry France 1962 - see Variable: FR1962A_IND - Industry France 1968 - see Variable: FR1968A_IND41 - Industry, 41 categories France 1975 - see Variable: FR1975A_INDUN - Industry, UNO France 1982 - see Variable: FR1982A_INDUN - Industry, United Nations nomenclature France 1990 - see Variable: FR1990A_IND15 - Industry, 15 categories France 1999 - see Variable: FR1999A_INDCITI - Industry, ISIC France 2006 - see Variable: FR2006A_IND700N - Economic activity in 700 categories (2003 classification) numeric recode France 2011 - see Variable: FR2011A_IND - Industry, 732 categories Germany 1970 - see Variable: DE1970A_IND - Industry Germany 1971 - see Variable: DE1971A_IND - Industry Germany 1981 - see Variable: DE1981A_IND - Industry Germany 1987 - see Variable: DE1987A_IND - Industry Ghana 2000 - see Variable: GH2000A_IND - Industry Ghana 2010 - see Variable: GH2010A_IND - Industry (major groups) Greece 1971 - see Variable: GR1971A_IND - Industry Greece 1981 - see Variable: GR1981A_IND - Industry Greece 1991 - see Variable: GR1991A_IND - Industry Greece 2001 - see Variable: GR2001A_IND - Industry Greece 2011 - see Variable: GR2011A_IND - Industry Guatemala 1964 - see Variable: GT1964A_IND3 - Field of economic activity (3-digits) Guatemala 1973 - see Variable: GT1973A_IND3 - Industry (3-digits) Guatemala 1981 - see Variable: GT1981A_IND3 - Industry (3-digits) Guatemala 1994 - see Variable: GT1994A_IND2 - Field of economic activity (2-digits) Guatemala 2002 - see Variable: GT2002A_IND1 - Field of economic activity (1-digit) Guinea 1983 - see Variable: GN1983A_IND2 - Branch of economic activity, 2 digits Guinea 2014 - see Variable: GN2014A_IND - Industry (3-digit) Haiti 1982 - see Variable: HT1982A_IND - Branch of work Haiti 2003 - see Variable: HT2003A_IND2 - Industry, 3 digits Honduras 1961 - see Variable: HN1961A_IND - Industry (2-digits) Honduras 1974 - see Variable: HN1974A_IND - Industry (3-digits) Honduras 2001 - see Variable: HN2001A_IND - Industry (4-digit) Honduras 2013 - see Variable: HN2013A_IND3 - Economic activity (3-digit) Hungary 2001 - see Variable: HU2001A_IND - Industry, branch of economy Hungary 2011 - see Variable: HU2011A_IND - Industry Indonesia 1971 - see Variable: ID1971A_IND - Industry Indonesia 1976 - see Variable: ID1976A_IND - Industry Indonesia 1980 - see Variable: ID1980A_IND - Industry Indonesia 1985 - see Variable: ID1985A_IND - Industry of primary occupation Indonesia 1990 - see Variable: ID1990A_IND - Industry of main occupation last week Indonesia 1995 - see Variable: ID1995A_IND - Industry Indonesia 2000 - see Variable: ID2000A_IND - Industry of primary occupation Indonesia 2005 - see Variable: ID2005A_IND - Industry Indonesia 2010 - see Variable: ID2010A_IND - Industry Iran 2006 - see Variable: IR2006A_IND4 - Industry Iran 2011 - see Variable: IR2011A_IND - Industry (3-digit) Iraq 1997 - see Variable: IQ1997A_IND - Industry Ireland 1971 - see Variable: IE1971A_IND - Industry Ireland 1981 - see Variable: IE1981A_IND - Industry class Ireland 1986 - see Variable: IE1986A_IND - Industry class Ireland 1991 - see Variable: IE1991A_IND - Industry class Ireland 1996 - see Variable: IE1996A_IND - Industry class Ireland 2002 - see Variable: IE2002A_IND - Industry class Ireland 2006 - see Variable: IE2006A_IND - Industry class Ireland 2011 - see Variable: IE2011A_IND - Industry Ireland 2016 - see Variable: IE2016A_IND - Industry Israel 1972 - see Variable: IL1972A_IND - Industry Israel 1983 - see Variable: IL1983A_IND - Industry Israel 1995 - see Variable: IL1995A_IND - Industry Israel 2008 - see Variable: IL2008A_IND - Branch of economy Italy 2001 - see Variable: IT2001A_IND - Industry Italy 2011 - see Variable: IT2011A_IND - Sector of economic activity Jamaica 1982 - see Variable: JM1982A_IND - Industry or type of business during past week / in last job Jamaica 1991 - see Variable: JM1991A_IND3 - Industry during past week or in last job, 3 digits Jamaica 2001 - see Variable: JM2001A_IND3 - Industry 3-digit Jordan 2004 - see Variable: JO2004A_IND - Major current economic activity of the establishment Kenya 2019 - see Variable: KE2019A_IND1 - Industry, ISIC section Kyrgyzstan 1999 - see Variable: KG1999A_IND - Activity type of an enterprise you are working in Kyrgyzstan 2009 - see Variable: KG2009A_IND - Type of industry, enterprise or organization Laos 1995 - see Variable: LA1995A_IND2 - Main industry in the last 12 months (2-digit) Laos 2005 - see Variable: LA2005A_IND3 - Industry (ISIC 3-digit) Laos 2015 - see Variable: LA2015A_IND2 - Industry (2-digit ISIC Rev. 4) Lesotho 2006 - see Variable: LS2006A_IND - Industry (2-digits) Liberia 1974 - see Variable: LR1974A_IND - Industry (3-digit) Liberia 2008 - see Variable: LR2008A_IND - Industry Malawi 1987 - see Variable: MW1987A_IND2 - Industry, 2 digit Malawi 1998 - see Variable: MW1998A_IND4 - Industry, 4-digit Malawi 2008 - see Variable: MW2008A_IND2 - Main industry Malawi 2018 - see Variable: MW2018A_IND3 - Main industry (ISIC 2008 3-digit) Malaysia 1970 - see Variable: MY1970A_IND3 - Industry last week Malaysia 1980 - see Variable: MY1980A_IND3 - Industry last week (3 digits) Malaysia 1991 - see Variable: MY1991A_IND3 - Main industry (3 digits) Malaysia 2000 - see Variable: MY2000A_IND3 - Main industry - 3 digits Mali 1987 - see Variable: ML1987A_IND - Principal branch of employment last month Mali 1998 - see Variable: ML1998A_IND - Branch of economic activity Mali 2009 - see Variable: ML2009A_IND - Industry Mauritius 1990 - see Variable: MU1990A_IND - Industry (1-digit) Mauritius 2000 - see Variable: MU2000A_IND1 - Industry (1 digit) Mauritius 2011 - see Variable: MU2011A_IND2 - Industry (2-digit) Mexico 1960 - see Variable: MX1960A_IND - Industry Mexico 1970 - see Variable: MX1970A_IND - Industry Mexico 1990 - see Variable: MX1990A_IND5 - Industry, 5 digits Mexico 1995 - see Variable: MX1995A_IND - Industry Mexico 2000 - see Variable: MX2000A_IND3 - Industry, 3 digits Mexico 2010 - see Variable: MX2010A_IND - Industry Mexico 2015 - see Variable: MX2015A_IND - Industry Mexico 2020 - see Variable: MX2020A_IND - Industry (4-digits) Mongolia 2000 - see Variable: MN2000A_IND - Industry Mongolia 2010 - see Variable: MN2010A_IND2 - Industry, division (ISIC Revision 4) Mongolia 2020 - see Variable: MN2020A_IND3 - Main industry (3-digit) Morocco 1982 - see Variable: MA1982A_IND3 - Industry (3-digit) Morocco 1994 - see Variable: MA1994A_IND2 - Industry (2 digits) Morocco 2004 - see Variable: MA2004A_IND2 - Sector of economic activity (2-digit) Morocco 2014 - see Variable: MA2014A_IND2 - Industry (2-digit) Mozambique 1997 - see Variable: MZ1997A_IND1 - Industry Mozambique 2007 - see Variable: MZ2007A_IND - Industry Mozambique 2017 - see Variable: MZ2017A_IND2 - Main economic activity (2-digits CAE Rev.2) Myanmar 2014 - see Variable: MM2014A_IND - Industry Nepal 2001 - see Variable: NP2001A_IND - Usual industry Nepal 2011 - see Variable: NP2011A_IND - Industry (2-digit) Netherlands 1960 - see Variable: NL1960A_IND - Industry Netherlands 1971 - see Variable: NL1971A_IND - Industry Netherlands 2001 - see Variable: NL2001A_IND - Industry Netherlands 2011 - see Variable: NL2011A_IND - Industry (1-digit) Nicaragua 1971 - see Variable: NI1971A_IND3 - Industry (ISIC2), 3 digits Nicaragua 1995 - see Variable: NI1995A_IND - Industry (ISIC 3.1, 3 digits) Nicaragua 2005 - see Variable: NI2005A_IND3 - Industry (ISIC 3.1, 3 digits)) Pakistan 1973 - see Variable: PK1973A_IND2 - Industry, 2 digit Palestine 1997 - see Variable: PS1997A_IND - Industry Palestine 2007 - see Variable: PS2007A_IND - Industry Palestine 2017 - see Variable: PS2017A_IND - Industry Panama 1960 - see Variable: PA1960A_IND3 - Industry (3 digit) Panama 1970 - see Variable: PA1970A_IND3 - Industry [3 digit] Panama 1980 - see Variable: PA1980A_IND - Industry, 3-digit Panama 1990 - see Variable: PA1990A_IND3 - Industry - 3 Digits Panama 2000 - see Variable: PA2000A_IND - Economic activity, 3 digits Panama 2010 - see Variable: PA2010A_IND - Economic activity, 4 digits Papua New Guinea 1980 - see Variable: PG1980A_IND - Industry, 3 digits Papua New Guinea 2000 - see Variable: PG2000A_IND3 - Industry (3-digit) Paraguay 1962 - see Variable: PY1962A_IND3 - Industry (3 digits) Paraguay 1972 - see Variable: PY1972A_IND3 - Industry (3 digits) Paraguay 1982 - see Variable: PY1982A_IND3 - Industry, 3-digits Paraguay 1992 - see Variable: PY1992A_IND3 - Industry, 3 digits Paraguay 2002 - see Variable: PY2002A_IND - Industry (4 digits) Peru 1993 - see Variable: PE1993A_IND - Economic activity (4 digits) Peru 2007 - see Variable: PE2007A_IND - Economic activity (4-digits) Peru 2017 - see Variable: PE2017A_IND4 - Economic activity (4-digits, in primary job last week) Philippines 1990 - see Variable: PH1990A_IND - Industry Philippines 1995 - see Variable: PH1995A_IND - Industry Philippines 2000 - see Variable: PH2000A_IND - Industry Philippines 2010 - see Variable: PH2010A_IND3 - Kind of business or industry (3-digit) Poland 1978 - see Variable: PL1978A_IND - Industry (of person providing support) Poland 2002 - see Variable: PL2002A_IND - Industry (main employer) Portugal 1981 - see Variable: PT1981A_IND - Industry Portugal 1991 - see Variable: PT1991A_IND - Industry Portugal 2001 - see Variable: PT2001A_IND - Industry Portugal 2011 - see Variable: PT2011A_IND - Industry Puerto Rico 1970 - see Variable: PR1970A_IND1990 - Industry, 1990 basis Puerto Rico 1980 - see Variable: PR1980A_IND1990 - Industry, 1990 basis Puerto Rico 1990 - see Variable: PR1990A_IND - Industry Puerto Rico 2000 - see Variable: PR2000A_IND1990 - Industry, 1990 basis Puerto Rico 2005 - see Variable: PR2005A_IND1990 - Industry, 1990 basis Puerto Rico 2010 - see Variable: PR2010A_IND - Industry Puerto Rico 2015 - see Variable: PR2015A_IND - Industry Puerto Rico 2020 - see Variable: PR2020A_IND - Industry Romania 1977 - see Variable: RO1977A_IND - Industry of supporter Romania 1977 - see Variable: RO1977A_WKACT - Activity category Romania 1992 - see Variable: RO1992A_IND - Industry Romania 2002 - see Variable: RO2002A_IND - Industry Romania 2011 - see Variable: RO2011A_INDGEN - Industry (general categories) Rwanda 2002 - see Variable: RW2002A_IND - Industry Rwanda 2012 - see Variable: RW2012A_IND2 - Industry (3-digit) Saint Lucia 1991 - see Variable: LC1991A_IND3 - Industry, 2 digit Senegal 1988 - see Variable: SN1988A_IND - Industry Senegal 2013 - see Variable: SN2013A_IND3 - Industry (3-digit) Sierra Leone 2004 - see Variable: SL2004A_IND - Industry Slovenia 2002 - see Variable: SI2002A_IND - Industry South Africa 1996 - see Variable: ZA1996A_IND2 - Industry, 2 digits South Africa 2001 - see Variable: ZA2001A_IND3 - Industry, 3 digit South Africa 2007 - see Variable: ZA2007A_IND3 - Industry, 3 digit South Sudan 2008 - see Variable: SS2008A_IND - Industry Spain 1981 - see Variable: ES1981A_IND - Industry Spain 1991 - see Variable: ES1991A_IND - Activity of the establishment Spain 2001 - see Variable: ES2001A_IND - Industry Spain 2011 - see Variable: ES2011A_IND - Industry, 2-digits Sudan 2008 - see Variable: SD2008A_IND - Industry Suriname 2004 - see Variable: SR2004A_IND - Industry Suriname 2012 - see Variable: SR2012A_IND - Industry (groups) Switzerland 1970 - see Variable: CH1970A_IND - Branch of economic activity (industry) Switzerland 1980 - see Variable: CH1980A_IND - Branch of economic activity (industry) Switzerland 1990 - see Variable: CH1990A_IND - Branch of economic activity (industry) Switzerland 2000 - see Variable: CH2000A_IND - Branch of economic activity (industry) Switzerland 2011 - see Variable: CH2011A_IND2 - Industry of local unit, workplace (NOGA 2-digit) Tanzania 2002 - see Variable: TZ2002A_IND - Industry last week Tanzania 2012 - see Variable: TZ2012A_IND - Industry Thailand 1970 - see Variable: TH1970A_IND - Principal industry last year Thailand 1980 - see Variable: TH1980A_IND - Principal industry last year Thailand 1990 - see Variable: TH1990A_IND3 - Principal industry last year, 3 digits Thailand 2000 - see Variable: TH2000A_IND3 - Industry last year, 3 digits Togo 1970 - see Variable: TG1970A_IND - Industry (1-digit) Togo 2010 - see Variable: TG2010A_IND3 - Industry (3-digits) Trinidad and Tobago 1980 - see Variable: TT1980A_IND - Industry (2-digit) Trinidad and Tobago 1990 - see Variable: TT1990A_IND - Industry Trinidad and Tobago 2000 - see Variable: TT2000A_IND - Industry (2 digits) Turkey 1985 - see Variable: TR1985A_INDALT - Industry (2-digit) Turkey 1990 - see Variable: TR1990A_IND2 - Industry (2 digits) Turkey 2000 - see Variable: TR2000A_IND2 - Industry, 2 digit Uganda 2002 - see Variable: UG2002A_IND - Industry United Kingdom 1961 - see Variable: UK1961A_IND - Industry United Kingdom 1971 - see Variable: UK1971A_IND - Industry United Kingdom 1991 - see Variable: UK1991A_IND - Industrial classification United Kingdom 2001 - see Variable: UK2001A_IND - Industry classification United States 1960 - see Variable: US1960A_IND - Industry United States 1970 - see Variable: US1970A_IND - Industry United States 1980 - see Variable: US1980A_IND - Industry United States 1990 - see Variable: US1990A_IND - Industry United States 2000 - see Variable: US2000A_IND - Industry United States 2005 - see Variable: US2005A_IND - Industry United States 2010 - see Variable: US2010A_IND - Industry United States 2015 - see Variable: US2015A_IND - Industry United States 2020 - see Variable: US2020A_IND - Industry Uruguay 1963 - see Variable: UY1963A_IND2 - Primary industry [2-digit] Uruguay 1985 - see Variable: UY1985A_IND - Industry during the past week Uruguay 1996 - see Variable: UY1996A_IND2 - Industry (ISIC 3, 2 digits) Uruguay 2006 - see Variable: UY2006A_IND3 - Industry (ISIC rev 3, 3 digits) Venezuela 1981 - see Variable: VE1981A_IND - Industry Venezuela 1990 - see Variable: VE1990A_IND - Industry Venezuela 2001 - see Variable: VE2001A_IND - Industry Vietnam 1989 - see Variable: VN1989A_IND2 - Industry, 2 digits Vietnam 1999 - see Variable: VN1999A_IND3 - Industry, 3 digit Vietnam 2009 - see Variable: VN2009A_IND - Industry Vietnam 2019 - see Variable: VN2019A_IND3 - Industry, 3 digit Zambia 1990 - see Variable: ZM1990A_IND - Industry Zambia 2000 - see Variable: ZM2000A_IND - Type of industry, 3 digits Zambia 2010 - see Variable: ZM2010A_IND2 - Industry, 3 digits Work Variables -- PERSON Status in employment (class of worker) [general version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 0 NIU (not in universe) 1 Self-employed 2 Wage/salary worker 3 Unpaid worker 4 Other 9 Unknown/missing Work Variables -- PERSON Status in employment (class of worker) [detailed version] CLASSWK refers to the status of an economically active person with respect to his or her employment -- that is, the type of explicit or implicit contract of employment with other persons or organizations that the person has in his/her job. In general, the variable indicates whether a person was self-employed, or worked for someone else, either for pay or as an unpaid family worker. CLASSWK is related to EMPSTAT, which is used to define the universe in many samples. Class of worker is often referred to as "status in employment" in other sources. 000 NIU (not in universe) 100 Self-employed 101 Self-employed, unincorporated 102 Self-employed, incorporated 110 Employer 111 Sharecropper, employer 120 Working on own account 121 Own account, agriculture 122 Domestic worker, self-employed 123 Subsistence worker, own consumption 124 Own account, other 125 Own account, without temporary/unpaid help 126 Own account, with temporary/unpaid help 130 Member of cooperative 140 Sharecropper 141 Sharecropper, self-employed 142 Sharecropper, employee 150 Kibbutz member 199 Self-employed, not specified 200 Wage/salary worker 201 Management 202 Non-management 203 White collar (non-manual) 204 Blue collar (manual) 205 White or blue collar 206 Day laborer 207 Employee, with a permanent job 208 Employee, occasional, temporary, contract 209 Employee without legal contract 210 Wage/salary worker, private employer 211 Apprentice 212 Religious worker 213 Wage/salary worker, non-profit, NGO 214 White collar, private 215 Blue collar, private 216 Paid family worker 217 Cooperative employee 220 Wage/salary worker, government or public sector 221 Federal, government employee 222 State government employee 223 Local government employee 224 White collar, public 225 Blue collar, public 226 Public companies 227 Civil servants, local collectives 230 Domestic worker (work for private household) 240 Seasonal migrant 241 Seasonal migrant, no broker 242 Seasonal migrant, uses broker 250 Other wage and salary 251 Canal zone/commission employee 252 Government employment/training program 253 Mixed state/private enterprise/parastatal 254 Government public work program 255 State enterprise employee 256 Coordinated and continuous collaboration job 300 Unpaid worker 310 Unpaid family worker 320 Apprentice, unpaid or unspecified 330 Trainee 340 Apprentice or trainee 350 Works for others without wage 400 Other 999 Unknown/missing Work Variables -- PERSON Status in employment (class of worker), Europe 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. 0 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 Work Variables -- PERSON Full-time or part-time work HRSFULL indicates whether the respondent worked full-time or part-time. 0 NIU (not in universe) 1 Part-time 2 Full-time 9 Unknown Work Variables -- PERSON Means of transportation to work or school 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. 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 Work Variables -- PERSON Person number (within household) Austria 2001: All persons This variable indicates the person number (within household). 00 0 01 1 02 2 03 3 04 4 05 5 06 6 07 7 08 8 09 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 Technical Person Variables -- PERSON Family number Austria 2001: All persons This variable indicates the person's family number. 0 Non-related person 1 1 2 2 3 3 4 4 5 5 9 9 Technical Person Variables -- PERSON Year of birth <svar v="AT01A402 AT01A403 AT01A404 AT01A405" a="AT01A402 AT01A403 AT01A404 AT01A405">1. Date of birth <div class="i1">Day _ _ Month _ _ Year _ _ _ _</div> </svar> <svar v="AT01A402 AT01A403 AT01A404 AT01A405" a="AT01A402 AT01A403 AT01A404 AT01A405">1. Date of birth: The date of birth will automatically be converted to complete age on the day of the census. Many regulations and public measures (compulsory school attendance, legal age and the like) are directed at different age groups. The age structure of the population is used as a frame of reference for numerous statistical measures. Gender and age are requirements for the calculation of life expectancy and for population projections. The development of the age structure for the pupils, employed and retired persons will have more meaning in the coming decades than changes in the population in itself. </svar> Austria 2001: All persons This variable indicates the person's year of birth. 1900 1900 or earlier 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 Demographic Variables -- PERSON Age <svar v="AT01A402 AT01A403 AT01A404 AT01A405" a="AT01A402 AT01A403 AT01A404 AT01A405">1. Date of birth <div class="i1">Day _ _ Month _ _ Year _ _ _ _</div> </svar> <svar v="AT01A402 AT01A403 AT01A404 AT01A405" a="AT01A402 AT01A403 AT01A404 AT01A405">1. Date of birth: The date of birth will automatically be converted to complete age on the day of the census. Many regulations and public measures (compulsory school attendance, legal age and the like) are directed at different age groups. The age structure of the population is used as a frame of reference for numerous statistical measures. Gender and age are requirements for the calculation of life expectancy and for population projections. The development of the age structure for the pupils, employed and retired persons will have more meaning in the coming decades than changes in the population in itself. </svar> Austria 2001: All persons This variable indicates the person's age. 00 Less than 1 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 98 99 99+ years old Demographic Variables -- PERSON Sex <svar v="AT01A406" a="all">2. Sex <div class="i1">[] Male [] Female</div> </svar> <svar v="AT01A406" a="all">2. Gender: Almost all charts with census results are segmented by gender. Numerous statutes and living conditions are different for men and women (e.g. retirement age, courses of education and career conditions). </svar> Austria 2001: All persons This variable indicates the person's sex. 1 Male 2 Female Demographic Variables -- PERSON Marital status <svar v="AT01A407 AT01A485 AT01A486 AT01A487" a="all">3. Marital status (legal marital status): <div class="i1">[] Single [] Married, since _ _ _ _ (year of marriage) [] Divorced [] Widowed</div> </svar> <svar v="AT01A407 AT01A485 AT01A486 AT01A487" a="all">3. Marital status: Explanation: Enter whatever your legal marital status is. "Married" should be marked for persons living in wedlock (not divorced) even if they live separately from their spouse. "Divorced" should be marked for persons who are not remarried, regardless of whether their former spouse is still living or not. "Widowed" should be marked for persons whose marriage ended with the death of the spouse and who are not remarried. [p. 74] "Single" should be marked for all persons that have never been married. Persons living in a consensual union mark the marital status that they legally belong to. "Married" should only be marked, if the marriage with the separate living spouse is still legal (not divorced). <div class="i1">The marital status structure was subjected to severe changes through the decrease in marriages and increase in divorces. Marital status is also important for the projection of the population development (e.g. how many widowed pensioners will accrue in the future). The year of marriage is gathered as an aid characteristic for family development (married couples). Unmarried consensual unions are also accounted for in the results, however, indirectly derived from question 7.</div> </svar> Austria 2001: All persons This variable indicates the person's marital status. 1 Single 2 Married 3 Widowed 4 Divorced Demographic Variables -- PERSON Cohabitation status Austria 2001: All persons This variable indicates the person's cohabitation status. 1 Married, same household as spouse 2 Married, not same household as spouse 3 In consensual union, same household as partner 4 Neither married nor in consensual union Demographic Variables -- PERSON Citizenship <svar v="AT01A409 AT01A410" a="all">5. Citizenship (Please mark both in the case of dual citizenship): <div class="i1">[] Austria [] Germany [] Czech Republic [] Slovak Republic [] Hungary [] Turkey [] Romania [] Poland [] Slovenia [] Croatia [] Bosnia and Herzegovina [] Federal Republic of Yugoslavia [] Macedonia [] Stateless [] Other country ____</div> </svar> <svar v="AT01A409 AT01A410" a="all">5. Citizenship: Explanation: Persons with unclear citizenship should enter "not clarified" in the text field "other countries." [p. 75] Anyone who has another citizenship in addition to Austrian citizenship, marks the box "Austria" as well as the box of the other citizenship or indicates this in the text field. <div class="i1">Citizenship is a requirement for the determination of the so-called "number of citizens." Based on this the mandates per electoral district is calculated. Further, citizenship serves the determination of the number and structure of the foreigners living in Austria, who differ significantly from nationals in demographic, social and economic respects, as well as the assessment of the many foreigner questions.</div> </svar> Austria 2001: All persons This variable indicates the person's citizenship. 01 Austria 02 Albania 04 Belgium 05 Bulgaria 06 Denmark 07 Germany, Federal Republic 09 Finland 10 France 11 Greece 12 United Kingdom 13 Ireland 15 Italy 16 Yugoslavia 17 Liechtenstein 18 Luxembourg 21 Netherlands 22 Norway 23 Poland 24 Portugal 25 Romania 27 Sweden 28 Switzerland 29 Soviet Union 30 Spain 31 Czechoslovakia 32 Hungary 34 Egypt 35 Algeria 37 Morocco 39 Nigeria 40 Sudan 41 South Africa 42 Tunisia 43 Other African countries 44 Bangladesh 45 China 46 India 47 Indonesia 48 Iraq 49 Iran 50 Israel 51 Japan 53 Jordan 55 Korea South, Republic 56 Lebanon 57 Pakistan 58 Philippines 60 Syrian Arab Republic 61 Thailand 62 Turkey 63 Viet Nam 66 Other Asian countries 68 Brazil 70 Canada 71 Mexico 72 Peru 73 United States 74 Other American countries 75 Australia 78 Stateless person 80 Unsettled 99 Unknown, and other countries not elsewhere classifed Nativity and Birthplace Variables -- PERSON Country of birth <svar v="AT01A411" a="all">4. Country of birth (present borders): <div class="i1">[] Austria [] Germany [] Czech Republic [] Slovak Republic [] Hungary [] Turkey [] Romania [] Poland [] Slovenia [] Croatia [] Bosnia and Herzegovina [] Federal Republic of Yugoslavia [] Macedonia [] Other country ____</div> </svar> <svar v="AT01A411" a="all">4.Country of birth: Explanation: Please mark the country in which your place of birth is located today. This question serves the assessment of long-term migrations to Austria. Further, information is gained about the integration of foreigners and naturalized persons in Austria. </svar> Austria 2001: All persons This variable indicates the person's country of birth. 01 Austria 02 Belgium 03 Denmark 04 Germany 05 Finland 06 France 07 Greece 08 Ireland 09 Italy 10 Luxembourg 11 Netherlands 12 Portugal 13 Sweden 14 Spain 15 United Kingdom 17 Liechtenstein 18 Norway 19 Switzerland 20 Armenia 22 Belarus 23 Georgia 24 Moldova 25 Russian Federation 26 Ukraine 27 Albania 28 Bosnia and Herzegovina 29 Bulgaria 31 Yugoslavia (Serbia, Montenegro) 32 Croatia 33 Lithuania 34 Latvia 35 Macedonia 36 Poland 37 Romania 38 Slovakia 39 Slovenia 40 Czech Republic 41 Hungary 42 Andorra 45 San Marino 46 Turkey 47 Cyprus 48 Outer Europe -- new independent countries 49 Other Europe, response suppressed 50 Iraq 51 Israel 53 Jordan 54 Lebanon 55 Palestine Territories 57 Syria 58 Other countries of the Near East 59 Bangladesh 60 China 61 India 62 Indonesia 63 Iran 64 Japan 65 Kampuchea 66 Korea South Republic 67 Pakistan 68 Philippines 69 China, Republic (Taiwan) 70 Thailand 71 Viet Nam 72 Other Asian countries 73 United States 74 Canada 75 Argentina 76 Brazil 77 Chile 78 Mexico 79 Peru 80 Other Central and South American countries 81 Egypt 82 Algeria 84 Morocco 85 Tunisia 86 Nigeria 87 Sudan 88 South Africa 89 Other African countries 90 Australia 92 Other Oceania 99 Unknown Nativity and Birthplace Variables -- PERSON Religion -- detailed <svar v="AT01A412" a="all">8. Religious affiliation: <div class="i1">[] Roman Catholic [] Lutheran AB [] Reformed HB [] Old Catholic [] Islam [] Jewish [] No religious affiliation [] Other ____</div> </svar> <svar v="AT01A412" a="all">8. Religious affiliation: Explanation: Please indicate the church or religious denomination that you belong to. If you are not certain whether one of the items corresponds to your religious affiliation, please enter your religious affiliation in the text line. The legal membership in a church or religious domination should be indicated - anyone who is unsure if their religion is one of the religions to be marked may enter their religion on the text line. <div class="i1">This question has been asked for more than 100 years on the population census questionnaire. Also, religion is a socio-cultural characteristic that becomes significant in different ways of life (different career emphases, family establishment patterns and number of children). The recognized religious denominations have especially placed value on the inclusion of this question in the population census. The information on religion is - as with all other characteristics - only published in tabular form. For the church tax, the religious denominations receive the information from the registration office, not from the population census.</div> </svar> Austria 2001: All persons This variable indicates the person's religion. 01 Roman Catholic church 02 Greek Oriental church 07 Syrian Catholic church 09 Other Catholic church without further details 10 Orthodox church without further details 11 Greek Orthodox church 12 Bulgarian Orthodox church 13 Romanian Orthodox church 14 Russian Orthodox church 15 Serbian Orthodox church 17 Syrian Orthodox church 18 Copt Orthodox church 19 Armenian Apostolic church 21 Protestant church without further details 22 Protestant church (Augsburg confession) 23 Protestant church (Helvetic confession) 24 Old Catholic church 25 Church of England 26 Methodist church 27 Baptist churches 28 Evangelical churches 29 Free Christian community/Pentecostal 30 Mennonite church 31 Seventh-day Adventist church 32 Christian Community, movement for religious renewal 33 Jehovah's Witnesses 34 New Apostolic church 35 Church of Jesus Christ of Latter-day Saints 36 Christian community without further details 37 Jewish religious community 38 Islamic religious community 39 Buddhist religious community 40 Baha'i 41 Hindu 42 Sikh 44 Unification church (Moon) 45 Other communities 46 Without religion 99 Unknown Ethnicity and Language Variables -- PERSON Level of highest education completed <svar v="AT01A416 AT01A417 AT01A413 AT01A414 AT01A415">10. Schools attended -- Education completed </svar> <svar v="AT01A413 AT01A414 AT01A415" a="all">10.2 Education completed <div class="i1">For all persons over 15 years of age (Please indicate all degrees obtained or levels of education completed.) Education completed: If more than one degree or course of study has been completed per education level (e.g., university degrees in two fields of study), please indicate just one item, e.g., the one you feel has played a more important role in your career. [] Primary school (including pre-primary state) [] General secondary school (Hauptschule) [] Academic secondary school - lower state [] Special school [] Pre-vocational year [] Apprenticeship training (including compulsory vocational training school, final apprenticeship examination, skilled worker's examination) (e.g. Skilled farm worker, retail salesperson, car mechanic)</div> <div class="i2">What occupation? ____</div> <div class="i1">[] Intermediate upper secondary technical and vocational school (1 - 4 years, without a school leaving certificate qualifying for university attendance) (e.g. commercial school, home economics school, agricultural school, nursing school)</div> <div class="i2">Which one? ____</div> <div class="i1">[] Academic secondary school upper stage (with a school leaving certificate qualifying for university attendance) l - (e.g. grammar school, lycée, a-level) "Kolleg": post-secondary courses (2 - 3 years) to reach a technical or vocational education</div> <div class="i2">Which one? ____</div> <div class="i1">[] Higher upper secondary technical and vocational school (5 years, with a school leaving certificate qualifying for university attendance) (e.g. higher school for business administration, higher technical school for mechanical engineering)</div> <div class="i2">Which one? ____</div> <div class="i1">[] Academy, college, university (e.g. pedagogical academy, social academy, technical college, school of applied arts, university of agriculture, university of business)</div> <div class="i2">Which one? ____ Field of study, main subject only (e.g. German language and literature, teaching certificate for mathematics, electrical engineering, sculpture, tourism, production automation) Which one? ____</div> <div class="i1">[] Other formal training and education (e.g. foreman school, university courses, master craftsman's qualifying examination, professional qualification examination, civil servant's advancement examination).</div> <div class="i2">Please indicate other formal education or training you feel is the most important for your career. Which? 1. ____ 2. ____</div> </svar> <svar v="AT01A413 AT01A414 AT01A415 AT01A416 AT01A417" a="all">10. School attendance/education completed: [p. 79] Explanation: Please mark all schools that you are either currently attending (10.1) or have already completed (10.2). For private schools mark the comparable school type. Re 10.1 "School currently attended": Persons currently being educated mark the appropriate type of school in the first column. The technical field or major subject should not be entered. Apprentices should mark "apprenticeship training (including compulsory vocational training school)" even if they have already completed compulsory vocational training school itself. (Attention: apprentices are considered gainfully employed and should also answer questions 11 through 15 for this profession). Nursing trainees should mark "Intermediate upper and upper secondary technical and vocational school." (Attention: these persons are considered gainfully employed and should answer questions 11 through 15 for this profession). Re 10.2 "Education completed": All levels of education that have been completed should be marked in the second column, and as necessary, the field of education/study should be entered. Commonly understood abbreviations are possible (e.g. "LA" for "teacher training"). Persons who have completed several similar types of training should indicate only the field of training which was most important for their future career. Apprenticeship training: This is only to be marked as completed if the final apprenticeship examination has been passed. If compulsory vocational training school was completed but no final apprenticeship examination has been passed, this column should not be marked. The question is so designed that the school currently attended (10.1) as well as the already completed course of education (10.2) is included. On the following pages you will find - in the order in which the school types are mentioned on the personal data form - guidelines for filling out the form and a list of schools that belong to this school type. Following, the schools are once again listed in alphabetical order. General information: If with the completion of an intermediate or higher upper secondary technical and vocational school a final apprenticeship examination for a teaching profession is also acquired, the field or subject of the appropriate school should be indicated and the teaching profession should not be entered in "apprenticeship training." The attendance and completion of foreman schools, master classes and other courses at intermediate upper secondary technical and vocational schools should be entered in "Other formal training and education." "Completed education" (10.2) should only be marked if all required final examinations relevant for the course of education were already passed before May 15, 2001 or the diploma was already issued. Older persons that completed a civic school should mark "General secondary school (Hauptschule)." Regarding polytechnic studies, polytechnic schools: The completion of polytechnic studies should only be marked if it was actually attended. If the 9th school year was passed at another school (e.g. the first year of a 3-year intermediate upper secondary technical and vocational school) only the previously attended compulsory school should be indicated. Regarding Apprenticeship training: Apprenticeship training is connected to attendance at a vocational school (earlier names: winter school, continuing education school). In the text field, the occupation learned (that concurrently describes the field of study of the vocational school) should be entered. [p. 80] For women that obligatorily attended the vocational school for home economics: In individual states (e.g. Vorarlberg, Kärnten) attendance at a vocational school for home economics was obligatory for women if they did not learn an occupation or attended no further school. This completion should be indicated in "Other formal training and education" and not in "Apprenticeship training" or "Intermediate upper secondary technical and vocational school." Constabulary and police students: The attendance or completion of a constabulary or police academy is to be indicated in "Apprenticeship training." It involves practical, professional training similar to apprenticeship training. (Attention: constabulary and police students are considered gainfully employed and should answer questions 11 through 15 for this profession.) Regarding Intermediate upper secondary technical and vocational school: The duration of training amounts to 1 to 4 years (exception: Fashion school of the city of Vienna 5-years) and does not lead to a school leaving certificate qualifying for university entrance (school leaving examination). [Page 80-81 lists are translated into English.] [p. 81] Regarding Academic secondary school - upper stage: This box should be marked if a general educational school that led to a school leaving certificate qualifying for university entrance (school leaving examination), was completed. Entering a field of study is not provided for. [Page 81-82 lists were not translated into English.] [p. 82] Regarding colleges, post-secondary courses (2-3 years) to reach a technical or vocational education: Colleges (previously: post-secondary courses) mediate the educational goal of the 5-year higher vocational schools in a 2 to 3 year education. For attendance at a college, a school leaving certificate qualifying for university entrance (school leaving examination) is a prerequisite. [Page 82 lists were not translated into English.] Regarding higher upper secondary technical and vocational school: Education that mediates vocational training and leads to a school leaving examination (new: school leaving and diploma examination) is indicated here. The duration of education amounts to 5 years. Also falling into this category is continuing education at higher upper secondary vocational schools that can be passed subsequent to an intermediate upper secondary technical and vocational school. The duration of education amounts to 2 to 4 years and the education is completed also with the school leaving and diploma examination. [Page 82-83 lists were not translated into English.] [p. 83] Regarding academy, college, university: Here all education (excluding colleges and post-secondary courses) that require a school leaving certificate qualifying for university entrance (school leaving examination) is indicated. Because around 160 different fields of study are distinguished, the university type (e.g. University of technology, University of business, University of natural resources) as well as the field of study (major field) should be cited as precisely as possible. [Page 83-84 lists were not translated into English.] [p. 84] Regarding other formal training and education: The possibility of entering further --important for the career path -- education, that does not fall into the previous categories of question 10 exists here. This should also prevent wrong entries from happening in the previous layers of question 10. [The rest of page 84, pages 85 - 88, and the top of page 89 were not translated into English.] [p. 89] <div class="i1">School currently attended: The type of school is used to depict the pupil commuter flows, in order to be able to foster inferences on the accessibility of places of education. While an elementary school is mostly located in an easily accessible neighborhood, one finds a college frequently only in the region's main city and a university only in a few cities. The information is gathered for the location and traffic planning in combination with the time expenditure und transportation. Completed education: From this information charts are created that show the number of persons that have completed the different levels of education. These results are also segmented by fields of study as well as by age, profession and other characteristics. This data is of meaning above all else for the educational planning but also for the regional job markets that are partly very different. The information on occupation learned and occupation practiced (especially for teaching apprenticeships) deliver basic information about the connections between education and profession and allow statements about the structure and scope of career changes. In addition, they can be gathered for planning of essential educational, continuing educational and retraining activities for structural changes in the job market (e.g. skilled worker shortage) While school and secondary school statistics provides yearly the number of graduates by field of study with higher accuracy, these statistics can not portray the level of education of the population at a certain point in time, because the population changes through migration and deaths. Only a complete survey like the population census can provide the appropriate data.</div> </svar> Austria 2001: Persons age 10+ [discrepancies: none] This variable indicates the level of highest education person completed. 0 NIU (not in universe) 1 University, Polytechnic 2 Post-secondary college 3 Post-secondary course in technical or vocational education 4 Higher technical and vocational secondary school 5 Higher general secondary school 6 Intermediate technical and vocational secondary school 7 Apprenticeship training 8 Compulsory secondary school 9 Unknown Education Variables -- PERSON Highest education completed (ISCED-97) <svar v="AT01A416 AT01A417 AT01A413 AT01A414 AT01A415">10. Schools attended -- Education completed </svar> <svar v="AT01A413 AT01A414 AT01A415" a="all">10.2 Education completed <div class="i1">For all persons over 15 years of age (Please indicate all degrees obtained or levels of education completed.) Education completed: If more than one degree or course of study has been completed per education level (e.g., university degrees in two fields of study), please indicate just one item, e.g., the one you feel has played a more important role in your career. [] Primary school (including pre-primary state) [] General secondary school (Hauptschule) [] Academic secondary school - lower state [] Special school [] Pre-vocational year [] Apprenticeship training (including compulsory vocational training school, final apprenticeship examination, skilled worker's examination) (e.g. Skilled farm worker, retail salesperson, car mechanic)</div> <div class="i2">What occupation? ____</div> <div class="i1">[] Intermediate upper secondary technical and vocational school (1 - 4 years, without a school leaving certificate qualifying for university attendance) (e.g. commercial school, home economics school, agricultural school, nursing school)</div> <div class="i2">Which one? ____</div> <div class="i1">[] Academic secondary school upper stage (with a school leaving certificate qualifying for university attendance) l - (e.g. grammar school, lycée, a-level) "Kolleg": post-secondary courses (2 - 3 years) to reach a technical or vocational education</div> <div class="i2">Which one? ____</div> <div class="i1">[] Higher upper secondary technical and vocational school (5 years, with a school leaving certificate qualifying for university attendance) (e.g. higher school for business administration, higher technical school for mechanical engineering)</div> <div class="i2">Which one? ____</div> <div class="i1">[] Academy, college, university (e.g. pedagogical academy, social academy, technical college, school of applied arts, university of agriculture, university of business)</div> <div class="i2">Which one? ____ Field of study, main subject only (e.g. German language and literature, teaching certificate for mathematics, electrical engineering, sculpture, tourism, production automation) Which one? ____</div> <div class="i1">[] Other formal training and education (e.g. foreman school, university courses, master craftsman's qualifying examination, professional qualification examination, civil servant's advancement examination).</div> <div class="i2">Please indicate other formal education or training you feel is the most important for your career. Which? 1. ____ 2. ____</div> </svar> <svar v="AT01A413 AT01A414 AT01A415 AT01A416 AT01A417" a="all">10. School attendance/education completed: [p. 79] Explanation: Please mark all schools that you are either currently attending (10.1) or have already completed (10.2). For private schools mark the comparable school type. Re 10.1 "School currently attended": Persons currently being educated mark the appropriate type of school in the first column. The technical field or major subject should not be entered. Apprentices should mark "apprenticeship training (including compulsory vocational training school)" even if they have already completed compulsory vocational training school itself. (Attention: apprentices are considered gainfully employed and should also answer questions 11 through 15 for this profession). Nursing trainees should mark "Intermediate upper and upper secondary technical and vocational school." (Attention: these persons are considered gainfully employed and should answer questions 11 through 15 for this profession). Re 10.2 "Education completed": All levels of education that have been completed should be marked in the second column, and as necessary, the field of education/study should be entered. Commonly understood abbreviations are possible (e.g. "LA" for "teacher training"). Persons who have completed several similar types of training should indicate only the field of training which was most important for their future career. Apprenticeship training: This is only to be marked as completed if the final apprenticeship examination has been passed. If compulsory vocational training school was completed but no final apprenticeship examination has been passed, this column should not be marked. The question is so designed that the school currently attended (10.1) as well as the already completed course of education (10.2) is included. On the following pages you will find - in the order in which the school types are mentioned on the personal data form - guidelines for filling out the form and a list of schools that belong to this school type. Following, the schools are once again listed in alphabetical order. General information: If with the completion of an intermediate or higher upper secondary technical and vocational school a final apprenticeship examination for a teaching profession is also acquired, the field or subject of the appropriate school should be indicated and the teaching profession should not be entered in "apprenticeship training." The attendance and completion of foreman schools, master classes and other courses at intermediate upper secondary technical and vocational schools should be entered in "Other formal training and education." "Completed education" (10.2) should only be marked if all required final examinations relevant for the course of education were already passed before May 15, 2001 or the diploma was already issued. Older persons that completed a civic school should mark "General secondary school (Hauptschule)." Regarding polytechnic studies, polytechnic schools: The completion of polytechnic studies should only be marked if it was actually attended. If the 9th school year was passed at another school (e.g. the first year of a 3-year intermediate upper secondary technical and vocational school) only the previously attended compulsory school should be indicated. Regarding Apprenticeship training: Apprenticeship training is connected to attendance at a vocational school (earlier names: winter school, continuing education school). In the text field, the occupation learned (that concurrently describes the field of study of the vocational school) should be entered. [p. 80] For women that obligatorily attended the vocational school for home economics: In individual states (e.g. Vorarlberg, Kärnten) attendance at a vocational school for home economics was obligatory for women if they did not learn an occupation or attended no further school. This completion should be indicated in "Other formal training and education" and not in "Apprenticeship training" or "Intermediate upper secondary technical and vocational school." Constabulary and police students: The attendance or completion of a constabulary or police academy is to be indicated in "Apprenticeship training." It involves practical, professional training similar to apprenticeship training. (Attention: constabulary and police students are considered gainfully employed and should answer questions 11 through 15 for this profession.) Regarding Intermediate upper secondary technical and vocational school: The duration of training amounts to 1 to 4 years (exception: Fashion school of the city of Vienna 5-years) and does not lead to a school leaving certificate qualifying for university entrance (school leaving examination). [Page 80-81 lists are translated into English.] [p. 81] Regarding Academic secondary school - upper stage: This box should be marked if a general educational school that led to a school leaving certificate qualifying for university entrance (school leaving examination), was completed. Entering a field of study is not provided for. [Page 81-82 lists were not translated into English.] [p. 82] Regarding colleges, post-secondary courses (2-3 years) to reach a technical or vocational education: Colleges (previously: post-secondary courses) mediate the educational goal of the 5-year higher vocational schools in a 2 to 3 year education. For attendance at a college, a school leaving certificate qualifying for university entrance (school leaving examination) is a prerequisite. [Page 82 lists were not translated into English.] Regarding higher upper secondary technical and vocational school: Education that mediates vocational training and leads to a school leaving examination (new: school leaving and diploma examination) is indicated here. The duration of education amounts to 5 years. Also falling into this category is continuing education at higher upper secondary vocational schools that can be passed subsequent to an intermediate upper secondary technical and vocational school. The duration of education amounts to 2 to 4 years and the education is completed also with the school leaving and diploma examination. [Page 82-83 lists were not translated into English.] [p. 83] Regarding academy, college, university: Here all education (excluding colleges and post-secondary courses) that require a school leaving certificate qualifying for university entrance (school leaving examination) is indicated. Because around 160 different fields of study are distinguished, the university type (e.g. University of technology, University of business, University of natural resources) as well as the field of study (major field) should be cited as precisely as possible. [Page 83-84 lists were not translated into English.] [p. 84] Regarding other formal training and education: The possibility of entering further --important for the career path -- education, that does not fall into the previous categories of question 10 exists here. This should also prevent wrong entries from happening in the previous layers of question 10. [The rest of page 84, pages 85 - 88, and the top of page 89 were not translated into English.] [p. 89] <div class="i1">School currently attended: The type of school is used to depict the pupil commuter flows, in order to be able to foster inferences on the accessibility of places of education. While an elementary school is mostly located in an easily accessible neighborhood, one finds a college frequently only in the region's main city and a university only in a few cities. The information is gathered for the location and traffic planning in combination with the time expenditure und transportation. Completed education: From this information charts are created that show the number of persons that have completed the different levels of education. These results are also segmented by fields of study as well as by age, profession and other characteristics. This data is of meaning above all else for the educational planning but also for the regional job markets that are partly very different. The information on occupation learned and occupation practiced (especially for teaching apprenticeships) deliver basic information about the connections between education and profession and allow statements about the structure and scope of career changes. In addition, they can be gathered for planning of essential educational, continuing educational and retraining activities for structural changes in the job market (e.g. skilled worker shortage) While school and secondary school statistics provides yearly the number of graduates by field of study with higher accuracy, these statistics can not portray the level of education of the population at a certain point in time, because the population changes through migration and deaths. Only a complete survey like the population census can provide the appropriate data.</div> </svar> Austria 2001: Persons age 10+ [discrepancies: none] This variable indicates the person's highest education completed (ISCED-97). 1 ISCED 2 - education at lower secondary stage 2 ISCED 3C - education at upper secondary stage (short form) 3 ISCED 3B - education at upper secondary stage 4 ISCED 3A - education at upper secondary stage 5 ISCED 4 - post-secondary education, not tertiary 6 ISCED 5B - tertiary education 7 ISCED 5A/6 - tertiary education 8 Unknown 9 NIU (not in universe) Education Variables -- PERSON Major field of highest education completed -- detailed <svar v="AT01A416 AT01A417 AT01A413 AT01A414 AT01A415">10. Schools attended -- Education completed </svar> <svar v="AT01A413 AT01A414 AT01A415" a="all">10.2 Education completed <div class="i1">For all persons over 15 years of age (Please indicate all degrees obtained or levels of education completed.) Education completed: If more than one degree or course of study has been completed per education level (e.g., university degrees in two fields of study), please indicate just one item, e.g., the one you feel has played a more important role in your career. [] Primary school (including pre-primary state) [] General secondary school (Hauptschule) [] Academic secondary school - lower state [] Special school [] Pre-vocational year [] Apprenticeship training (including compulsory vocational training school, final apprenticeship examination, skilled worker's examination) (e.g. Skilled farm worker, retail salesperson, car mechanic)</div> <div class="i2">What occupation? ____</div> <div class="i1">[] Intermediate upper secondary technical and vocational school (1 - 4 years, without a school leaving certificate qualifying for university attendance) (e.g. commercial school, home economics school, agricultural school, nursing school)</div> <div class="i2">Which one? ____</div> <div class="i1">[] Academic secondary school upper stage (with a school leaving certificate qualifying for university attendance) l - (e.g. grammar school, lycée, a-level) "Kolleg": post-secondary courses (2 - 3 years) to reach a technical or vocational education</div> <div class="i2">Which one? ____</div> <div class="i1">[] Higher upper secondary technical and vocational school (5 years, with a school leaving certificate qualifying for university attendance) (e.g. higher school for business administration, higher technical school for mechanical engineering)</div> <div class="i2">Which one? ____</div> <div class="i1">[] Academy, college, university (e.g. pedagogical academy, social academy, technical college, school of applied arts, university of agriculture, university of business)</div> <div class="i2">Which one? ____ Field of study, main subject only (e.g. German language and literature, teaching certificate for mathematics, electrical engineering, sculpture, tourism, production automation) Which one? ____</div> <div class="i1">[] Other formal training and education (e.g. foreman school, university courses, master craftsman's qualifying examination, professional qualification examination, civil servant's advancement examination).</div> <div class="i2">Please indicate other formal education or training you feel is the most important for your career. Which? 1. ____ 2. ____</div> </svar> <svar v="AT01A413 AT01A414 AT01A415 AT01A416 AT01A417" a="all">10. School attendance/education completed: [p. 79] Explanation: Please mark all schools that you are either currently attending (10.1) or have already completed (10.2). For private schools mark the comparable school type. Re 10.1 "School currently attended": Persons currently being educated mark the appropriate type of school in the first column. The technical field or major subject should not be entered. Apprentices should mark "apprenticeship training (including compulsory vocational training school)" even if they have already completed compulsory vocational training school itself. (Attention: apprentices are considered gainfully employed and should also answer questions 11 through 15 for this profession). Nursing trainees should mark "Intermediate upper and upper secondary technical and vocational school." (Attention: these persons are considered gainfully employed and should answer questions 11 through 15 for this profession). Re 10.2 "Education completed": All levels of education that have been completed should be marked in the second column, and as necessary, the field of education/study should be entered. Commonly understood abbreviations are possible (e.g. "LA" for "teacher training"). Persons who have completed several similar types of training should indicate only the field of training which was most important for their future career. Apprenticeship training: This is only to be marked as completed if the final apprenticeship examination has been passed. If compulsory vocational training school was completed but no final apprenticeship examination has been passed, this column should not be marked. The question is so designed that the school currently attended (10.1) as well as the already completed course of education (10.2) is included. On the following pages you will find - in the order in which the school types are mentioned on the personal data form - guidelines for filling out the form and a list of schools that belong to this school type. Following, the schools are once again listed in alphabetical order. General information: If with the completion of an intermediate or higher upper secondary technical and vocational school a final apprenticeship examination for a teaching profession is also acquired, the field or subject of the appropriate school should be indicated and the teaching profession should not be entered in "apprenticeship training." The attendance and completion of foreman schools, master classes and other courses at intermediate upper secondary technical and vocational schools should be entered in "Other formal training and education." "Completed education" (10.2) should only be marked if all required final examinations relevant for the course of education were already passed before May 15, 2001 or the diploma was already issued. Older persons that completed a civic school should mark "General secondary school (Hauptschule)." Regarding polytechnic studies, polytechnic schools: The completion of polytechnic studies should only be marked if it was actually attended. If the 9th school year was passed at another school (e.g. the first year of a 3-year intermediate upper secondary technical and vocational school) only the previously attended compulsory school should be indicated. Regarding Apprenticeship training: Apprenticeship training is connected to attendance at a vocational school (earlier names: winter school, continuing education school). In the text field, the occupation learned (that concurrently describes the field of study of the vocational school) should be entered. [p. 80] For women that obligatorily attended the vocational school for home economics: In individual states (e.g. Vorarlberg, Kärnten) attendance at a vocational school for home economics was obligatory for women if they did not learn an occupation or attended no further school. This completion should be indicated in "Other formal training and education" and not in "Apprenticeship training" or "Intermediate upper secondary technical and vocational school." Constabulary and police students: The attendance or completion of a constabulary or police academy is to be indicated in "Apprenticeship training." It involves practical, professional training similar to apprenticeship training. (Attention: constabulary and police students are considered gainfully employed and should answer questions 11 through 15 for this profession.) Regarding Intermediate upper secondary technical and vocational school: The duration of training amounts to 1 to 4 years (exception: Fashion school of the city of Vienna 5-years) and does not lead to a school leaving certificate qualifying for university entrance (school leaving examination). [Page 80-81 lists are translated into English.] [p. 81] Regarding Academic secondary school - upper stage: This box should be marked if a general educational school that led to a school leaving certificate qualifying for university entrance (school leaving examination), was completed. Entering a field of study is not provided for. [Page 81-82 lists were not translated into English.] [p. 82] Regarding colleges, post-secondary courses (2-3 years) to reach a technical or vocational education: Colleges (previously: post-secondary courses) mediate the educational goal of the 5-year higher vocational schools in a 2 to 3 year education. For attendance at a college, a school leaving certificate qualifying for university entrance (school leaving examination) is a prerequisite. [Page 82 lists were not translated into English.] Regarding higher upper secondary technical and vocational school: Education that mediates vocational training and leads to a school leaving examination (new: school leaving and diploma examination) is indicated here. The duration of education amounts to 5 years. Also falling into this category is continuing education at higher upper secondary vocational schools that can be passed subsequent to an intermediate upper secondary technical and vocational school. The duration of education amounts to 2 to 4 years and the education is completed also with the school leaving and diploma examination. [Page 82-83 lists were not translated into English.] [p. 83] Regarding academy, college, university: Here all education (excluding colleges and post-secondary courses) that require a school leaving certificate qualifying for university entrance (school leaving examination) is indicated. Because around 160 different fields of study are distinguished, the university type (e.g. University of technology, University of business, University of natural resources) as well as the field of study (major field) should be cited as precisely as possible. [Page 83-84 lists were not translated into English.] [p. 84] Regarding other formal training and education: The possibility of entering further --important for the career path -- education, that does not fall into the previous categories of question 10 exists here. This should also prevent wrong entries from happening in the previous layers of question 10. [The rest of page 84, pages 85 - 88, and the top of page 89 were not translated into English.] [p. 89] <div class="i1">School currently attended: The type of school is used to depict the pupil commuter flows, in order to be able to foster inferences on the accessibility of places of education. While an elementary school is mostly located in an easily accessible neighborhood, one finds a college frequently only in the region's main city and a university only in a few cities. The information is gathered for the location and traffic planning in combination with the time expenditure und transportation. Completed education: From this information charts are created that show the number of persons that have completed the different levels of education. These results are also segmented by fields of study as well as by age, profession and other characteristics. This data is of meaning above all else for the educational planning but also for the regional job markets that are partly very different. The information on occupation learned and occupation practiced (especially for teaching apprenticeships) deliver basic information about the connections between education and profession and allow statements about the structure and scope of career changes. In addition, they can be gathered for planning of essential educational, continuing educational and retraining activities for structural changes in the job market (e.g. skilled worker shortage) While school and secondary school statistics provides yearly the number of graduates by field of study with higher accuracy, these statistics can not portray the level of education of the population at a certain point in time, because the population changes through migration and deaths. Only a complete survey like the population census can provide the appropriate data.</div> </svar> Austria 2001: Persons age 10+ [discrepancies: none] This variable indicates the person's major field of highest education completed (detailed). 001 University, college, field unknown 002 Theology 003 Law 004 Social or economic sciences, field unknown 005 National economy 006 Commerce 007 Business administration 008 Economics and computer science 009 Sociology 010 Other social and economic sciences 011 Medicine 012 Philosophy faculty, field unknown 013 Humanities, field unknown 014 Philosophy, philosophy, pedagogy and psychology 015 Education science 016 Psychology 017 Political science 018 Journalism, communication science 020 Ethnology, ethnic studies 021 History 022 History of art, music, and theatre studies 024 German philology 025 English and American philology 026 Romance philology 027 Slavic philology 028 Classical philology 029 Other philological-cultural programs 030 Translator and interpreter programs 031 Natural sciences (technical), field unknown 033 Mathematics, geometry and actuarial mathematics 034 Physics 035 Chemistry 036 Geology, geography 037 Biology and nutrition science 038 Astronomy, meteorology, and geophysics 039 Pharmacy 040 Sports science and physical training 041 Engineering, field unknown 042 Civil engineering 043 Architecture, urban and regional planning, surveying 044 Mechanical engineering 045 Electrical engineering, electronics 046 Mechatronics 047 Computer science, telematics 048 Other engineering programs 049 Mining sciences, field unknown 050 Mining engineering and surveying 051 Petroleum engineering 052 Metallurgy 053 Polymer engineering 055 Other mining engineering programs 056 Agriculture and forestry, field unknown 057 Agriculture 058 Landscape planning 059 Forestry and wood production 060 Agricultural engineering 061 Food chemistry and biotechnology 062 Veterinary medicine 063 University arts and music, field unknown 064 Fine arts and applied arts 065 Music 066 Dramatic arts 068 Polytechnic -- field unknown 069 Polytechnic -- program in engineering 070 Polytechnic -- program in economics 071 Polytechnic -- program in tourism 072 Polytechnic -- program in media 074 Polytechnic -- other programs 076 College for social work 077 College for training of health professions 078 College for teacher training 079 Military academy 080 Programs in music (teaching qualification test) 082 Post-secondary course -- field unknown 083 Post-secondary course -- technical, vocational and trade 084 Post-secondary course -- construction and wood technology 085 Post-secondary course -- chemical engineering 086 Post-secondary course -- electrical engineering, electronics, electronic data processing 087 Post-secondary course -- mechanical engineering 088 Post-secondary course -- materials engineering 090 Post-secondary course -- print and graphic 091 Post-secondary course -- textile technology 092 Post-secondary course -- fashion and clothing 093 Post-secondary course -- tourism 095 Post-secondary course -- other technical programs 096 Post-secondary course -- business administration 099 Post-secondary course -- teacher and educational training 100 Post-secondary course -- primary school teacher and educational training 101 Higher technical and vocational school, field unknown 102 Higher technical school, field unknown 103 Construction, wood (higher) 104 Chemical engineering (higher) 105 Electrical engineering, computing (higher) 106 Mechanical engineering (higher) 107 Materials engineering (higher) 108 Precision engineering (higher) 109 Printing, graphic arts (higher) 110 Textile technology (higher) 111 Fashion and clothing Trade (higher) 112 Tourism (higher) 113 Arts and crafts (higher) 114 Other technical and crafts program (higher) 115 Higher school for business administration 116 Higher school for home economics 117 Higher school for agriculture and forestry, field unknown 118 Agriculture (higher) 119 Special fields in agriculture (higher) 120 Forestry (higher) 122 Higher school for educator and teacher, training 123 School for teacher training 124 Higher general secondary school 125 Intermediate technical and vocational school, field unknown 126 Technical, vocational and trade school, field unknown 127 Mining, metallurgy, glasswork (technical college) 128 Construction, wood industry (technical college) 129 Chemistry (technical college) 130 Electrical engineering, electronics (technical college) 131 Mechanical engineering (technical college) 132 Precision engineering (technical college) 133 Metalworking, tool making (technical college) 134 Printing, graphic arts (technical college) 135 Textile technology (technical college) 136 Fashion and clothing trade (technical college) 137 Tourism, hotel and restaurant trade (technical college) 138 Arts and crafts (technical college) 139 Other technical and crafts program (technical college) 140 Intermediate commercial school, field unknown 141 School for business administration (technical college) 142 School for administration and office work (technical college) 143 Data processing (technical college) 144 Economics, field unknown 145 School for home economics (technical college) 146 School for home economics, short form 147 School for nursing and health care (technical college) 148 School for social work (technical college) 149 Intermediate agriculture and forestry school, specialization unknown 150 Agriculture (technical college) 151 Special fields in agriculture (technical college) 152 Forestry (technical college) 153 Other intermediate vocational school 154 Intermediate school for teacher and educator training 155 Other intermediate schools 156 Apprenticeship training, occupation unknown 157 Technical occupations 158 Life science and health occupation 159 Other technical administrative and finance occupation 160 Office clerks 161 Personal service occupation 162 Agricultural and forestry occupation 163 Extraction and building trades occupation 164 Metal, machinery and related trades occupation 165 Precision and handicraft worker, printer and related trades 166 Other craft and related trades occupations 167 Stationary plant and related operator 168 Machine operators and assemblers 169 Drivers and mobile plant operators 170 Compulsory secondary school 990 Response suppressed 998 Unknown 999 NIU (not in universe) Education Variables -- PERSON Enrolled in school <svar v="AT01A416 AT01A417 AT01A413 AT01A414 AT01A415">10. Schools attended -- Education completed </svar> <svar v="AT01A416 AT01A417" a="all">10.1 School currently attended <div class="i1">For pupils and university students, please mark just one item. [] Primary school (including pre-primary state) [] Lower secondary school (Hauptschule) [] Academic secondary school - lower state [] Special needs school [] Pre-vocational year [] Apprenticeship training (including compulsory vocational training school, final apprenticeship examination, skilled worker's examination) (e.g. Skilled farm worker, retail salesperson, car mechanic) [] Intermediate upper secondary technical and vocational school (1 - 4 years, without a school leaving certificate qualifying for university attendance) (e.g. commercial school, home economics school, agricultural school, nursing school) [] Academic secondary school upper stage (with a school leaving certificate qualifying for university attendance) l - (e.g. grammar school, lycée, a-level) [] Post-secondary courses (2 - 3 years) to reach a technical or vocational education [] Higher upper secondary technical and vocational school (5 years, with a school leaving certificate qualifying for university attendance) (e.g. higher school for business administration, higher technical school for mechanical engineering) [] Academy, college, university (e.g. pedagogical academy, social academy, technical college, school of applied arts, university of agriculture, university of business) [] Other formal training and education (e.g. foreman school, university courses, master craftsman's qualifying examination, professional qualification examination, civil servant's advancement examination)</div> </svar> <svar v="AT01A413 AT01A414 AT01A415 AT01A416 AT01A417" a="all">10. School attendance/education completed: [p. 79] Explanation: Please mark all schools that you are either currently attending (10.1) or have already completed (10.2). For private schools mark the comparable school type. Re 10.1 "School currently attended": Persons currently being educated mark the appropriate type of school in the first column. The technical field or major subject should not be entered. Apprentices should mark "apprenticeship training (including compulsory vocational training school)" even if they have already completed compulsory vocational training school itself. (Attention: apprentices are considered gainfully employed and should also answer questions 11 through 15 for this profession). Nursing trainees should mark "Intermediate upper and upper secondary technical and vocational school." (Attention: these persons are considered gainfully employed and should answer questions 11 through 15 for this profession). Re 10.2 "Education completed": All levels of education that have been completed should be marked in the second column, and as necessary, the field of education/study should be entered. Commonly understood abbreviations are possible (e.g. "LA" for "teacher training"). Persons who have completed several similar types of training should indicate only the field of training which was most important for their future career. Apprenticeship training: This is only to be marked as completed if the final apprenticeship examination has been passed. If compulsory vocational training school was completed but no final apprenticeship examination has been passed, this column should not be marked. The question is so designed that the school currently attended (10.1) as well as the already completed course of education (10.2) is included. On the following pages you will find - in the order in which the school types are mentioned on the personal data form - guidelines for filling out the form and a list of schools that belong to this school type. Following, the schools are once again listed in alphabetical order. General information: If with the completion of an intermediate or higher upper secondary technical and vocational school a final apprenticeship examination for a teaching profession is also acquired, the field or subject of the appropriate school should be indicated and the teaching profession should not be entered in "apprenticeship training." The attendance and completion of foreman schools, master classes and other courses at intermediate upper secondary technical and vocational schools should be entered in "Other formal training and education." "Completed education" (10.2) should only be marked if all required final examinations relevant for the course of education were already passed before May 15, 2001 or the diploma was already issued. Older persons that completed a civic school should mark "General secondary school (Hauptschule)." Regarding polytechnic studies, polytechnic schools: The completion of polytechnic studies should only be marked if it was actually attended. If the 9th school year was passed at another school (e.g. the first year of a 3-year intermediate upper secondary technical and vocational school) only the previously attended compulsory school should be indicated. Regarding Apprenticeship training: Apprenticeship training is connected to attendance at a vocational school (earlier names: winter school, continuing education school). In the text field, the occupation learned (that concurrently describes the field of study of the vocational school) should be entered. [p. 80] For women that obligatorily attended the vocational school for home economics: In individual states (e.g. Vorarlberg, Kärnten) attendance at a vocational school for home economics was obligatory for women if they did not learn an occupation or attended no further school. This completion should be indicated in "Other formal training and education" and not in "Apprenticeship training" or "Intermediate upper secondary technical and vocational school." Constabulary and police students: The attendance or completion of a constabulary or police academy is to be indicated in "Apprenticeship training." It involves practical, professional training similar to apprenticeship training. (Attention: constabulary and police students are considered gainfully employed and should answer questions 11 through 15 for this profession.) Regarding Intermediate upper secondary technical and vocational school: The duration of training amounts to 1 to 4 years (exception: Fashion school of the city of Vienna 5-years) and does not lead to a school leaving certificate qualifying for university entrance (school leaving examination). [Page 80-81 lists are translated into English.] [p. 81] Regarding Academic secondary school - upper stage: This box should be marked if a general educational school that led to a school leaving certificate qualifying for university entrance (school leaving examination), was completed. Entering a field of study is not provided for. [Page 81-82 lists were not translated into English.] [p. 82] Regarding colleges, post-secondary courses (2-3 years) to reach a technical or vocational education: Colleges (previously: post-secondary courses) mediate the educational goal of the 5-year higher vocational schools in a 2 to 3 year education. For attendance at a college, a school leaving certificate qualifying for university entrance (school leaving examination) is a prerequisite. [Page 82 lists were not translated into English.] Regarding higher upper secondary technical and vocational school: Education that mediates vocational training and leads to a school leaving examination (new: school leaving and diploma examination) is indicated here. The duration of education amounts to 5 years. Also falling into this category is continuing education at higher upper secondary vocational schools that can be passed subsequent to an intermediate upper secondary technical and vocational school. The duration of education amounts to 2 to 4 years and the education is completed also with the school leaving and diploma examination. [Page 82-83 lists were not translated into English.] [p. 83] Regarding academy, college, university: Here all education (excluding colleges and post-secondary courses) that require a school leaving certificate qualifying for university entrance (school leaving examination) is indicated. Because around 160 different fields of study are distinguished, the university type (e.g. University of technology, University of business, University of natural resources) as well as the field of study (major field) should be cited as precisely as possible. [Page 83-84 lists were not translated into English.] [p. 84] Regarding other formal training and education: The possibility of entering further --important for the career path -- education, that does not fall into the previous categories of question 10 exists here. This should also prevent wrong entries from happening in the previous layers of question 10. [The rest of page 84, pages 85 - 88, and the top of page 89 were not translated into English.] [p. 89] <div class="i1">School currently attended: The type of school is used to depict the pupil commuter flows, in order to be able to foster inferences on the accessibility of places of education. While an elementary school is mostly located in an easily accessible neighborhood, one finds a college frequently only in the region's main city and a university only in a few cities. The information is gathered for the location and traffic planning in combination with the time expenditure und transportation. Completed education: From this information charts are created that show the number of persons that have completed the different levels of education. These results are also segmented by fields of study as well as by age, profession and other characteristics. This data is of meaning above all else for the educational planning but also for the regional job markets that are partly very different. The information on occupation learned and occupation practiced (especially for teaching apprenticeships) deliver basic information about the connections between education and profession and allow statements about the structure and scope of career changes. In addition, they can be gathered for planning of essential educational, continuing educational and retraining activities for structural changes in the job market (e.g. skilled worker shortage) While school and secondary school statistics provides yearly the number of graduates by field of study with higher accuracy, these statistics can not portray the level of education of the population at a certain point in time, because the population changes through migration and deaths. Only a complete survey like the population census can provide the appropriate data.</div> </svar> Austria 2001: All persons This variable indicates whether the person is currently enrolled in school or not. 1 Yes 2 No Education Variables -- PERSON Type of school currently enrolled in -- detailed <svar v="AT01A416 AT01A417 AT01A413 AT01A414 AT01A415">10. Schools attended -- Education completed </svar> <svar v="AT01A416 AT01A417" a="all">10.1 School currently attended <div class="i1">For pupils and university students, please mark just one item. [] Primary school (including pre-primary state) [] Lower secondary school (Hauptschule) [] Academic secondary school - lower state [] Special needs school [] Pre-vocational year [] Apprenticeship training (including compulsory vocational training school, final apprenticeship examination, skilled worker's examination) (e.g. Skilled farm worker, retail salesperson, car mechanic) [] Intermediate upper secondary technical and vocational school (1 - 4 years, without a school leaving certificate qualifying for university attendance) (e.g. commercial school, home economics school, agricultural school, nursing school) [] Academic secondary school upper stage (with a school leaving certificate qualifying for university attendance) l - (e.g. grammar school, lycée, a-level) [] Post-secondary courses (2 - 3 years) to reach a technical or vocational education [] Higher upper secondary technical and vocational school (5 years, with a school leaving certificate qualifying for university attendance) (e.g. higher school for business administration, higher technical school for mechanical engineering) [] Academy, college, university (e.g. pedagogical academy, social academy, technical college, school of applied arts, university of agriculture, university of business) [] Other formal training and education (e.g. foreman school, university courses, master craftsman's qualifying examination, professional qualification examination, civil servant's advancement examination)</div> </svar> <svar v="AT01A413 AT01A414 AT01A415 AT01A416 AT01A417" a="all">10. School attendance/education completed: [p. 79] Explanation: Please mark all schools that you are either currently attending (10.1) or have already completed (10.2). For private schools mark the comparable school type. Re 10.1 "School currently attended": Persons currently being educated mark the appropriate type of school in the first column. The technical field or major subject should not be entered. Apprentices should mark "apprenticeship training (including compulsory vocational training school)" even if they have already completed compulsory vocational training school itself. (Attention: apprentices are considered gainfully employed and should also answer questions 11 through 15 for this profession). Nursing trainees should mark "Intermediate upper and upper secondary technical and vocational school." (Attention: these persons are considered gainfully employed and should answer questions 11 through 15 for this profession). Re 10.2 "Education completed": All levels of education that have been completed should be marked in the second column, and as necessary, the field of education/study should be entered. Commonly understood abbreviations are possible (e.g. "LA" for "teacher training"). Persons who have completed several similar types of training should indicate only the field of training which was most important for their future career. Apprenticeship training: This is only to be marked as completed if the final apprenticeship examination has been passed. If compulsory vocational training school was completed but no final apprenticeship examination has been passed, this column should not be marked. The question is so designed that the school currently attended (10.1) as well as the already completed course of education (10.2) is included. On the following pages you will find - in the order in which the school types are mentioned on the personal data form - guidelines for filling out the form and a list of schools that belong to this school type. Following, the schools are once again listed in alphabetical order. General information: If with the completion of an intermediate or higher upper secondary technical and vocational school a final apprenticeship examination for a teaching profession is also acquired, the field or subject of the appropriate school should be indicated and the teaching profession should not be entered in "apprenticeship training." The attendance and completion of foreman schools, master classes and other courses at intermediate upper secondary technical and vocational schools should be entered in "Other formal training and education." "Completed education" (10.2) should only be marked if all required final examinations relevant for the course of education were already passed before May 15, 2001 or the diploma was already issued. Older persons that completed a civic school should mark "General secondary school (Hauptschule)." Regarding polytechnic studies, polytechnic schools: The completion of polytechnic studies should only be marked if it was actually attended. If the 9th school year was passed at another school (e.g. the first year of a 3-year intermediate upper secondary technical and vocational school) only the previously attended compulsory school should be indicated. Regarding Apprenticeship training: Apprenticeship training is connected to attendance at a vocational school (earlier names: winter school, continuing education school). In the text field, the occupation learned (that concurrently describes the field of study of the vocational school) should be entered. [p. 80] For women that obligatorily attended the vocational school for home economics: In individual states (e.g. Vorarlberg, Kärnten) attendance at a vocational school for home economics was obligatory for women if they did not learn an occupation or attended no further school. This completion should be indicated in "Other formal training and education" and not in "Apprenticeship training" or "Intermediate upper secondary technical and vocational school." Constabulary and police students: The attendance or completion of a constabulary or police academy is to be indicated in "Apprenticeship training." It involves practical, professional training similar to apprenticeship training. (Attention: constabulary and police students are considered gainfully employed and should answer questions 11 through 15 for this profession.) Regarding Intermediate upper secondary technical and vocational school: The duration of training amounts to 1 to 4 years (exception: Fashion school of the city of Vienna 5-years) and does not lead to a school leaving certificate qualifying for university entrance (school leaving examination). [Page 80-81 lists are translated into English.] [p. 81] Regarding Academic secondary school - upper stage: This box should be marked if a general educational school that led to a school leaving certificate qualifying for university entrance (school leaving examination), was completed. Entering a field of study is not provided for. [Page 81-82 lists were not translated into English.] [p. 82] Regarding colleges, post-secondary courses (2-3 years) to reach a technical or vocational education: Colleges (previously: post-secondary courses) mediate the educational goal of the 5-year higher vocational schools in a 2 to 3 year education. For attendance at a college, a school leaving certificate qualifying for university entrance (school leaving examination) is a prerequisite. [Page 82 lists were not translated into English.] Regarding higher upper secondary technical and vocational school: Education that mediates vocational training and leads to a school leaving examination (new: school leaving and diploma examination) is indicated here. The duration of education amounts to 5 years. Also falling into this category is continuing education at higher upper secondary vocational schools that can be passed subsequent to an intermediate upper secondary technical and vocational school. The duration of education amounts to 2 to 4 years and the education is completed also with the school leaving and diploma examination. [Page 82-83 lists were not translated into English.] [p. 83] Regarding academy, college, university: Here all education (excluding colleges and post-secondary courses) that require a school leaving certificate qualifying for university entrance (school leaving examination) is indicated. Because around 160 different fields of study are distinguished, the university type (e.g. University of technology, University of business, University of natural resources) as well as the field of study (major field) should be cited as precisely as possible. [Page 83-84 lists were not translated into English.] [p. 84] Regarding other formal training and education: The possibility of entering further --important for the career path -- education, that does not fall into the previous categories of question 10 exists here. This should also prevent wrong entries from happening in the previous layers of question 10. [The rest of page 84, pages 85 - 88, and the top of page 89 were not translated into English.] [p. 89] <div class="i1">School currently attended: The type of school is used to depict the pupil commuter flows, in order to be able to foster inferences on the accessibility of places of education. While an elementary school is mostly located in an easily accessible neighborhood, one finds a college frequently only in the region's main city and a university only in a few cities. The information is gathered for the location and traffic planning in combination with the time expenditure und transportation. Completed education: From this information charts are created that show the number of persons that have completed the different levels of education. These results are also segmented by fields of study as well as by age, profession and other characteristics. This data is of meaning above all else for the educational planning but also for the regional job markets that are partly very different. The information on occupation learned and occupation practiced (especially for teaching apprenticeships) deliver basic information about the connections between education and profession and allow statements about the structure and scope of career changes. In addition, they can be gathered for planning of essential educational, continuing educational and retraining activities for structural changes in the job market (e.g. skilled worker shortage) While school and secondary school statistics provides yearly the number of graduates by field of study with higher accuracy, these statistics can not portray the level of education of the population at a certain point in time, because the population changes through migration and deaths. Only a complete survey like the population census can provide the appropriate data.</div> </svar> Austria 2001: Persons who are currently enrolled in school [discrepancies: none] This variable indicates the detailed type of school the person is currently enrolled in. 01 Primary school 02 Lower secondary school 03 Higher general secondary school, lower form 04 Special needs school 05 Pre-vocational year 06 Intermediate technical and vocational school 07 Higher general secondary school, upper form 08 Higher technical and vocational school 09 Post-secondary course in technical and vocational education 10 University, post-secondary colleges 11 Other education 99 NIU (not in universe) Education Variables -- PERSON Activity status (labor force concept) <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are (multiple answers are possible, e.g. retired marginally employed on a part-time basis): <div class="i1">Self-employed, farmers, freelances and liberal professionals, family members helping out in the family business, apprentices and nursing trainees are also considered to be gainfully employed. [] Gainfully employed full time (32 and more hours a week) [] Gainfully employed part time (12 to 31 hours a week) [] Marginally employed part time (1 to 11 hours a week):</div> <div class="i2">[Those who chosen three choices above,] Please answer questions 12 to 15</div> <div class="i1">[] Looking for gainful employment for the first time (never gainfully employed before)</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Unemployed (was gainfully employed before) [] On parental or maternity leave</div> <div class="i2">[] Was gainfully employed before the leave [] Was unemployed before the leave [For those who chose "Unemployed" and "On parental or maternity leave",] Please answer questions 12 to 14 on the type of work you last did. If you are also (marginally) gainfully employed, please answer questions 12 to 15 on the work you are currently doing.</div> <div class="i1">[] On compulsory military service or conscientious objector doing non-military service</div> <div class="i2">Please answer just questions 14 and 15 on the route taken to the barracks or place of service.</div> <div class="i1">[] Homemaker [] Retirement pension from own gainful employment [] Widow's or widower's pension</div> <div class="i2">[For those who chose three choices above,] If you are also gainfully employed, please proceed to question 12. Otherwise, thank you, no further questions.</div> <div class="i1">[] Pupil or university student: Please answer question 15 regarding the route taken to school.</div> <div class="i2">If you are also gainfully employed (e.g. working a job on the side as a student) please answer questions 12 to 15 regarding this employment.</div> <div class="i1">[] Child not currently attending school</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Other means of livelihood (e.g. public welfare, support payments, supported by relatives, rent revenues):</div> <div class="i2">If you are also gainfully employed please proceed to question 12. Otherwise, thank you, no further questions.</div> </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426">Question 11: General instructions: Please put an "X" in all boxes applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment puts an "X" in both boxes. The note next to "Marginally employed part time" indicates that the person should proceed to questions 12 to 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are deemed to be gainfully employed. A person who does just voluntary work is not deemed to be gainfully employed. Whether you have full-time, part-time or marginally part-time employment depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box Answer questions 12 to 15 for this gainful employment (if several part-time positions are held, for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges put an "X" next to "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). The unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and the winter season) are deemed to be unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). Persons undergoing practical training, e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and for nursing, are deemed to be fully employed. Persons undergoing vocational retraining put an "X" next to "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer the questions 12 to 15 for their previous occupation (i.e. not "Public Employment Services Agency"). Persons attending vocational or professional preparatory courses put an "X" next to "pupil or university student" and answer the question 10.1 "School currently attended" and question 15. Persons drawing special emergency relief assistance (Sondernotstandshilfe) are not deemed to be unemployed and put an "X" next to "Other means of livelihood." </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are: Explanation: General instructions: Please mark all boxes that are applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment marks both boxes. The note next to "Marginally employed part-time" indicates that the person should proceed to questions 12 through 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are considered to be gainfully employed. A person who only works voluntarily is not considered to be gainfully employed. Whether you are employed full-time, part-time or marginally part-time depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box. Answer questions 12 through 15 for this gainful employment (if several part-time positions are held, answer the questions for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges mark "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). Unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an [p. 91] apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and winter season) are considered unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). <div class="i1">Persons undergoing practical training, (e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and nursing) are considered gainfully employed. Persons undergoing vocational retraining mark "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer questions 12 through 15 for their previous occupation (i.e. not "Public Employment Services Agency") Persons attending vocational or professional preparatory courses should mark "pupil or university student" and answer the question 10.1 "School currently attended" as well as question 15. Persons receiving special emergency relief assistance are not considered to be unemployed and should mark "Other means of livelihood."</div> Question 11 must be answered by every person. Double markings are possible. The situation in the last weeks before the census is to be considered, in cases of doubt, the situation on May 15, 2001. Who is gainfully employed? Anyone who works at least 1 hour per week on average is gainfully employed and answers questions 12 through 15 for this employment. The following groups of persons are considered gainfully employed, although they often do not identify themselves as such: <div class="i1">Helpers in a family business (especially housewives) Retirees with a secondary occupation Working students Farmers Wives of farmers with at least 1 hour per week of yard or field work Apprentices Nursing students Contractors for work and services Freelance employees Freelancers Tradesman Members of a religious order (e.g. nuns): Questions 12 through 15 should be answered for the secular profession (e.g. Kindergarten teacher, nurse). If no secular profession is available, "Nun" or "monk" is entered for the job title in question 13. Persons in disabled local units of employment: Questions 12 through 15 are answered for the job that is performed in this local unit of employment.</div> Below you will find further instructions on the specific characteristics: Working for the home or family: This box should be marked by persons that devote their work to their own household. If these persons are also gainfully employed, they should mark the appropriate box and answer questions 12 through 15 for this occupation. Seeking gainful employment for the first time: This box should be marked by persons that have not previously been gainfully employed and are now searching for work or an apprenticeship. On parental or maternity leave: Questions 12 through 15 should be answered for the occupation practiced before entering parental or maternity leave. Retirement pension from own gainful employment: This box should be marked by persons that receive their own pension. [p. 92] Widow or widower's pension: Persons that receive a widow or widower's pension should mark this box. Pupil or university student: Persons that currently attend a school, university, etc. should mark this box. Other means of livelihood: Persons that live on an orphan pension or accident benefits should also mark this box. <div class="i1">With this questions it is determined, who, and to what extent, is "gainfully employed" (and accordingly who must answer the further questions). The structural data about gainfully employed and commuters are among the most important results of the population census. The numbers about gainfully employed are needed for calculating general and specific labor force participation rates and find application as a basis for different predictions. Information about participation in working life is important for labor market analyses and international comparisons. Especially of interest are the type and scope of the gainful employment of older employees, women, youth and foreigners. Data about the extent of gainful employment in connection with information about gender, age and marital status gain increasing weight in the face of growing importance of part time work, especially for family policy and regional levels. This question further makes it possible to divide the not gainfully employed population into the predominant source of livelihood. This differentiation is of central importance for many economic and socio-political questions, for example: the dependent children and homemakers of gainfully employed persons, the occupation of women in terms of age as well as the numerical proportion of gainfully employed and retired persons.</div> </svar> Austria 2001: All persons This variable indicates the person's employment status. 01 Employed (full time) 02 Employed (part time) 03 Marginally employed 04 Compulsory military or non-military service 05 Unemployed 06 Retirement pension 07 Widow's or widower's pension 08 Other income recipient, status unknown 09 Homemaker 10 Pupil under 15 years of age 11 Student of 15 years and over 12 Child not attending school (under 15 years of age) 13 Other dependant 15 years of age and over (not attending school) Work Variables -- PERSON Whether employed or unemployed (labor force concept) <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are (multiple answers are possible, e.g. retired marginally employed on a part-time basis): <div class="i1">Self-employed, farmers, freelances and liberal professionals, family members helping out in the family business, apprentices and nursing trainees are also considered to be gainfully employed. [] Gainfully employed full time (32 and more hours a week) [] Gainfully employed part time (12 to 31 hours a week) [] Marginally employed part time (1 to 11 hours a week):</div> <div class="i2">[Those who chosen three choices above,] Please answer questions 12 to 15</div> <div class="i1">[] Looking for gainful employment for the first time (never gainfully employed before)</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Unemployed (was gainfully employed before) [] On parental or maternity leave</div> <div class="i2">[] Was gainfully employed before the leave [] Was unemployed before the leave [For those who chose "Unemployed" and "On parental or maternity leave",] Please answer questions 12 to 14 on the type of work you last did. If you are also (marginally) gainfully employed, please answer questions 12 to 15 on the work you are currently doing.</div> <div class="i1">[] On compulsory military service or conscientious objector doing non-military service</div> <div class="i2">Please answer just questions 14 and 15 on the route taken to the barracks or place of service.</div> <div class="i1">[] Homemaker [] Retirement pension from own gainful employment [] Widow's or widower's pension</div> <div class="i2">[For those who chose three choices above,] If you are also gainfully employed, please proceed to question 12. Otherwise, thank you, no further questions.</div> <div class="i1">[] Pupil or university student: Please answer question 15 regarding the route taken to school.</div> <div class="i2">If you are also gainfully employed (e.g. working a job on the side as a student) please answer questions 12 to 15 regarding this employment.</div> <div class="i1">[] Child not currently attending school</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Other means of livelihood (e.g. public welfare, support payments, supported by relatives, rent revenues):</div> <div class="i2">If you are also gainfully employed please proceed to question 12. Otherwise, thank you, no further questions.</div> </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426">Question 11: General instructions: Please put an "X" in all boxes applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment puts an "X" in both boxes. The note next to "Marginally employed part time" indicates that the person should proceed to questions 12 to 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are deemed to be gainfully employed. A person who does just voluntary work is not deemed to be gainfully employed. Whether you have full-time, part-time or marginally part-time employment depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box Answer questions 12 to 15 for this gainful employment (if several part-time positions are held, for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges put an "X" next to "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). The unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and the winter season) are deemed to be unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). Persons undergoing practical training, e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and for nursing, are deemed to be fully employed. Persons undergoing vocational retraining put an "X" next to "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer the questions 12 to 15 for their previous occupation (i.e. not "Public Employment Services Agency"). Persons attending vocational or professional preparatory courses put an "X" next to "pupil or university student" and answer the question 10.1 "School currently attended" and question 15. Persons drawing special emergency relief assistance (Sondernotstandshilfe) are not deemed to be unemployed and put an "X" next to "Other means of livelihood." </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are: Explanation: General instructions: Please mark all boxes that are applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment marks both boxes. The note next to "Marginally employed part-time" indicates that the person should proceed to questions 12 through 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are considered to be gainfully employed. A person who only works voluntarily is not considered to be gainfully employed. Whether you are employed full-time, part-time or marginally part-time depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box. Answer questions 12 through 15 for this gainful employment (if several part-time positions are held, answer the questions for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges mark "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). Unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an [p. 91] apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and winter season) are considered unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). <div class="i1">Persons undergoing practical training, (e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and nursing) are considered gainfully employed. Persons undergoing vocational retraining mark "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer questions 12 through 15 for their previous occupation (i.e. not "Public Employment Services Agency") Persons attending vocational or professional preparatory courses should mark "pupil or university student" and answer the question 10.1 "School currently attended" as well as question 15. Persons receiving special emergency relief assistance are not considered to be unemployed and should mark "Other means of livelihood."</div> Question 11 must be answered by every person. Double markings are possible. The situation in the last weeks before the census is to be considered, in cases of doubt, the situation on May 15, 2001. Who is gainfully employed? Anyone who works at least 1 hour per week on average is gainfully employed and answers questions 12 through 15 for this employment. The following groups of persons are considered gainfully employed, although they often do not identify themselves as such: <div class="i1">Helpers in a family business (especially housewives) Retirees with a secondary occupation Working students Farmers Wives of farmers with at least 1 hour per week of yard or field work Apprentices Nursing students Contractors for work and services Freelance employees Freelancers Tradesman Members of a religious order (e.g. nuns): Questions 12 through 15 should be answered for the secular profession (e.g. Kindergarten teacher, nurse). If no secular profession is available, "Nun" or "monk" is entered for the job title in question 13. Persons in disabled local units of employment: Questions 12 through 15 are answered for the job that is performed in this local unit of employment.</div> Below you will find further instructions on the specific characteristics: Working for the home or family: This box should be marked by persons that devote their work to their own household. If these persons are also gainfully employed, they should mark the appropriate box and answer questions 12 through 15 for this occupation. Seeking gainful employment for the first time: This box should be marked by persons that have not previously been gainfully employed and are now searching for work or an apprenticeship. On parental or maternity leave: Questions 12 through 15 should be answered for the occupation practiced before entering parental or maternity leave. Retirement pension from own gainful employment: This box should be marked by persons that receive their own pension. [p. 92] Widow or widower's pension: Persons that receive a widow or widower's pension should mark this box. Pupil or university student: Persons that currently attend a school, university, etc. should mark this box. Other means of livelihood: Persons that live on an orphan pension or accident benefits should also mark this box. <div class="i1">With this questions it is determined, who, and to what extent, is "gainfully employed" (and accordingly who must answer the further questions). The structural data about gainfully employed and commuters are among the most important results of the population census. The numbers about gainfully employed are needed for calculating general and specific labor force participation rates and find application as a basis for different predictions. Information about participation in working life is important for labor market analyses and international comparisons. Especially of interest are the type and scope of the gainful employment of older employees, women, youth and foreigners. Data about the extent of gainful employment in connection with information about gender, age and marital status gain increasing weight in the face of growing importance of part time work, especially for family policy and regional levels. This question further makes it possible to divide the not gainfully employed population into the predominant source of livelihood. This differentiation is of central importance for many economic and socio-political questions, for example: the dependent children and homemakers of gainfully employed persons, the occupation of women in terms of age as well as the numerical proportion of gainfully employed and retired persons.</div> </svar> Austria 2001: All persons This variable indicates whether the person is employed, unemployed, or economically inactive (labor force concept). 1 Employed 2 Unemployed 3 Economically inactive Work Variables -- PERSON Whether economically active or not (labor force concept) <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are (multiple answers are possible, e.g. retired marginally employed on a part-time basis): <div class="i1">Self-employed, farmers, freelances and liberal professionals, family members helping out in the family business, apprentices and nursing trainees are also considered to be gainfully employed. [] Gainfully employed full time (32 and more hours a week) [] Gainfully employed part time (12 to 31 hours a week) [] Marginally employed part time (1 to 11 hours a week):</div> <div class="i2">[Those who chosen three choices above,] Please answer questions 12 to 15</div> <div class="i1">[] Looking for gainful employment for the first time (never gainfully employed before)</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Unemployed (was gainfully employed before) [] On parental or maternity leave</div> <div class="i2">[] Was gainfully employed before the leave [] Was unemployed before the leave [For those who chose "Unemployed" and "On parental or maternity leave",] Please answer questions 12 to 14 on the type of work you last did. If you are also (marginally) gainfully employed, please answer questions 12 to 15 on the work you are currently doing.</div> <div class="i1">[] On compulsory military service or conscientious objector doing non-military service</div> <div class="i2">Please answer just questions 14 and 15 on the route taken to the barracks or place of service.</div> <div class="i1">[] Homemaker [] Retirement pension from own gainful employment [] Widow's or widower's pension</div> <div class="i2">[For those who chose three choices above,] If you are also gainfully employed, please proceed to question 12. Otherwise, thank you, no further questions.</div> <div class="i1">[] Pupil or university student: Please answer question 15 regarding the route taken to school.</div> <div class="i2">If you are also gainfully employed (e.g. working a job on the side as a student) please answer questions 12 to 15 regarding this employment.</div> <div class="i1">[] Child not currently attending school</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Other means of livelihood (e.g. public welfare, support payments, supported by relatives, rent revenues):</div> <div class="i2">If you are also gainfully employed please proceed to question 12. Otherwise, thank you, no further questions.</div> </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426">Question 11: General instructions: Please put an "X" in all boxes applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment puts an "X" in both boxes. The note next to "Marginally employed part time" indicates that the person should proceed to questions 12 to 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are deemed to be gainfully employed. A person who does just voluntary work is not deemed to be gainfully employed. Whether you have full-time, part-time or marginally part-time employment depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box Answer questions 12 to 15 for this gainful employment (if several part-time positions are held, for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges put an "X" next to "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). The unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and the winter season) are deemed to be unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). Persons undergoing practical training, e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and for nursing, are deemed to be fully employed. Persons undergoing vocational retraining put an "X" next to "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer the questions 12 to 15 for their previous occupation (i.e. not "Public Employment Services Agency"). Persons attending vocational or professional preparatory courses put an "X" next to "pupil or university student" and answer the question 10.1 "School currently attended" and question 15. Persons drawing special emergency relief assistance (Sondernotstandshilfe) are not deemed to be unemployed and put an "X" next to "Other means of livelihood." </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are: Explanation: General instructions: Please mark all boxes that are applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment marks both boxes. The note next to "Marginally employed part-time" indicates that the person should proceed to questions 12 through 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are considered to be gainfully employed. A person who only works voluntarily is not considered to be gainfully employed. Whether you are employed full-time, part-time or marginally part-time depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box. Answer questions 12 through 15 for this gainful employment (if several part-time positions are held, answer the questions for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges mark "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). Unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an [p. 91] apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and winter season) are considered unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). <div class="i1">Persons undergoing practical training, (e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and nursing) are considered gainfully employed. Persons undergoing vocational retraining mark "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer questions 12 through 15 for their previous occupation (i.e. not "Public Employment Services Agency") Persons attending vocational or professional preparatory courses should mark "pupil or university student" and answer the question 10.1 "School currently attended" as well as question 15. Persons receiving special emergency relief assistance are not considered to be unemployed and should mark "Other means of livelihood."</div> Question 11 must be answered by every person. Double markings are possible. The situation in the last weeks before the census is to be considered, in cases of doubt, the situation on May 15, 2001. Who is gainfully employed? Anyone who works at least 1 hour per week on average is gainfully employed and answers questions 12 through 15 for this employment. The following groups of persons are considered gainfully employed, although they often do not identify themselves as such: <div class="i1">Helpers in a family business (especially housewives) Retirees with a secondary occupation Working students Farmers Wives of farmers with at least 1 hour per week of yard or field work Apprentices Nursing students Contractors for work and services Freelance employees Freelancers Tradesman Members of a religious order (e.g. nuns): Questions 12 through 15 should be answered for the secular profession (e.g. Kindergarten teacher, nurse). If no secular profession is available, "Nun" or "monk" is entered for the job title in question 13. Persons in disabled local units of employment: Questions 12 through 15 are answered for the job that is performed in this local unit of employment.</div> Below you will find further instructions on the specific characteristics: Working for the home or family: This box should be marked by persons that devote their work to their own household. If these persons are also gainfully employed, they should mark the appropriate box and answer questions 12 through 15 for this occupation. Seeking gainful employment for the first time: This box should be marked by persons that have not previously been gainfully employed and are now searching for work or an apprenticeship. On parental or maternity leave: Questions 12 through 15 should be answered for the occupation practiced before entering parental or maternity leave. Retirement pension from own gainful employment: This box should be marked by persons that receive their own pension. [p. 92] Widow or widower's pension: Persons that receive a widow or widower's pension should mark this box. Pupil or university student: Persons that currently attend a school, university, etc. should mark this box. Other means of livelihood: Persons that live on an orphan pension or accident benefits should also mark this box. <div class="i1">With this questions it is determined, who, and to what extent, is "gainfully employed" (and accordingly who must answer the further questions). The structural data about gainfully employed and commuters are among the most important results of the population census. The numbers about gainfully employed are needed for calculating general and specific labor force participation rates and find application as a basis for different predictions. Information about participation in working life is important for labor market analyses and international comparisons. Especially of interest are the type and scope of the gainful employment of older employees, women, youth and foreigners. Data about the extent of gainful employment in connection with information about gender, age and marital status gain increasing weight in the face of growing importance of part time work, especially for family policy and regional levels. This question further makes it possible to divide the not gainfully employed population into the predominant source of livelihood. This differentiation is of central importance for many economic and socio-political questions, for example: the dependent children and homemakers of gainfully employed persons, the occupation of women in terms of age as well as the numerical proportion of gainfully employed and retired persons.</div> </svar> Austria 2001: All persons This variable indicates whether the person is economically active or not (labor force concept). 1 Economically active 2 Economically inactive Work Variables -- PERSON Activity status (livelihood concept) <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are (multiple answers are possible, e.g. retired marginally employed on a part-time basis): <div class="i1">Self-employed, farmers, freelances and liberal professionals, family members helping out in the family business, apprentices and nursing trainees are also considered to be gainfully employed. [] Gainfully employed full time (32 and more hours a week) [] Gainfully employed part time (12 to 31 hours a week) [] Marginally employed part time (1 to 11 hours a week):</div> <div class="i2">[Those who chosen three choices above,] Please answer questions 12 to 15</div> <div class="i1">[] Looking for gainful employment for the first time (never gainfully employed before)</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Unemployed (was gainfully employed before) [] On parental or maternity leave</div> <div class="i2">[] Was gainfully employed before the leave [] Was unemployed before the leave [For those who chose "Unemployed" and "On parental or maternity leave",] Please answer questions 12 to 14 on the type of work you last did. If you are also (marginally) gainfully employed, please answer questions 12 to 15 on the work you are currently doing.</div> <div class="i1">[] On compulsory military service or conscientious objector doing non-military service</div> <div class="i2">Please answer just questions 14 and 15 on the route taken to the barracks or place of service.</div> <div class="i1">[] Homemaker [] Retirement pension from own gainful employment [] Widow's or widower's pension</div> <div class="i2">[For those who chose three choices above,] If you are also gainfully employed, please proceed to question 12. Otherwise, thank you, no further questions.</div> <div class="i1">[] Pupil or university student: Please answer question 15 regarding the route taken to school.</div> <div class="i2">If you are also gainfully employed (e.g. working a job on the side as a student) please answer questions 12 to 15 regarding this employment.</div> <div class="i1">[] Child not currently attending school</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Other means of livelihood (e.g. public welfare, support payments, supported by relatives, rent revenues):</div> <div class="i2">If you are also gainfully employed please proceed to question 12. Otherwise, thank you, no further questions.</div> </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426">Question 11: General instructions: Please put an "X" in all boxes applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment puts an "X" in both boxes. The note next to "Marginally employed part time" indicates that the person should proceed to questions 12 to 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are deemed to be gainfully employed. A person who does just voluntary work is not deemed to be gainfully employed. Whether you have full-time, part-time or marginally part-time employment depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box Answer questions 12 to 15 for this gainful employment (if several part-time positions are held, for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges put an "X" next to "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). The unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and the winter season) are deemed to be unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). Persons undergoing practical training, e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and for nursing, are deemed to be fully employed. Persons undergoing vocational retraining put an "X" next to "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer the questions 12 to 15 for their previous occupation (i.e. not "Public Employment Services Agency"). Persons attending vocational or professional preparatory courses put an "X" next to "pupil or university student" and answer the question 10.1 "School currently attended" and question 15. Persons drawing special emergency relief assistance (Sondernotstandshilfe) are not deemed to be unemployed and put an "X" next to "Other means of livelihood." </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are: Explanation: General instructions: Please mark all boxes that are applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment marks both boxes. The note next to "Marginally employed part-time" indicates that the person should proceed to questions 12 through 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are considered to be gainfully employed. A person who only works voluntarily is not considered to be gainfully employed. Whether you are employed full-time, part-time or marginally part-time depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box. Answer questions 12 through 15 for this gainful employment (if several part-time positions are held, answer the questions for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges mark "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). Unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an [p. 91] apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and winter season) are considered unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). <div class="i1">Persons undergoing practical training, (e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and nursing) are considered gainfully employed. Persons undergoing vocational retraining mark "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer questions 12 through 15 for their previous occupation (i.e. not "Public Employment Services Agency") Persons attending vocational or professional preparatory courses should mark "pupil or university student" and answer the question 10.1 "School currently attended" as well as question 15. Persons receiving special emergency relief assistance are not considered to be unemployed and should mark "Other means of livelihood."</div> Question 11 must be answered by every person. Double markings are possible. The situation in the last weeks before the census is to be considered, in cases of doubt, the situation on May 15, 2001. Who is gainfully employed? Anyone who works at least 1 hour per week on average is gainfully employed and answers questions 12 through 15 for this employment. The following groups of persons are considered gainfully employed, although they often do not identify themselves as such: <div class="i1">Helpers in a family business (especially housewives) Retirees with a secondary occupation Working students Farmers Wives of farmers with at least 1 hour per week of yard or field work Apprentices Nursing students Contractors for work and services Freelance employees Freelancers Tradesman Members of a religious order (e.g. nuns): Questions 12 through 15 should be answered for the secular profession (e.g. Kindergarten teacher, nurse). If no secular profession is available, "Nun" or "monk" is entered for the job title in question 13. Persons in disabled local units of employment: Questions 12 through 15 are answered for the job that is performed in this local unit of employment.</div> Below you will find further instructions on the specific characteristics: Working for the home or family: This box should be marked by persons that devote their work to their own household. If these persons are also gainfully employed, they should mark the appropriate box and answer questions 12 through 15 for this occupation. Seeking gainful employment for the first time: This box should be marked by persons that have not previously been gainfully employed and are now searching for work or an apprenticeship. On parental or maternity leave: Questions 12 through 15 should be answered for the occupation practiced before entering parental or maternity leave. Retirement pension from own gainful employment: This box should be marked by persons that receive their own pension. [p. 92] Widow or widower's pension: Persons that receive a widow or widower's pension should mark this box. Pupil or university student: Persons that currently attend a school, university, etc. should mark this box. Other means of livelihood: Persons that live on an orphan pension or accident benefits should also mark this box. <div class="i1">With this questions it is determined, who, and to what extent, is "gainfully employed" (and accordingly who must answer the further questions). The structural data about gainfully employed and commuters are among the most important results of the population census. The numbers about gainfully employed are needed for calculating general and specific labor force participation rates and find application as a basis for different predictions. Information about participation in working life is important for labor market analyses and international comparisons. Especially of interest are the type and scope of the gainful employment of older employees, women, youth and foreigners. Data about the extent of gainful employment in connection with information about gender, age and marital status gain increasing weight in the face of growing importance of part time work, especially for family policy and regional levels. This question further makes it possible to divide the not gainfully employed population into the predominant source of livelihood. This differentiation is of central importance for many economic and socio-political questions, for example: the dependent children and homemakers of gainfully employed persons, the occupation of women in terms of age as well as the numerical proportion of gainfully employed and retired persons.</div> </svar> Austria 2001: All persons This variable indicates the person's employment status (livelihood concept). 1 Employed (without marginally employed) 2 Unemployed 3 Retirement or widow(er)'s pension 4 Other income recipient 5 Homemaker 6 Child pupil under 15 years of age 7 Student of 15 years and over 8 Other dependant of 15 years of age and over (not attending school) Work Variables -- PERSON Whether employed or unemployed (livelihood concept) <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are (multiple answers are possible, e.g. retired marginally employed on a part-time basis): <div class="i1">Self-employed, farmers, freelances and liberal professionals, family members helping out in the family business, apprentices and nursing trainees are also considered to be gainfully employed. [] Gainfully employed full time (32 and more hours a week) [] Gainfully employed part time (12 to 31 hours a week) [] Marginally employed part time (1 to 11 hours a week):</div> <div class="i2">[Those who chosen three choices above,] Please answer questions 12 to 15</div> <div class="i1">[] Looking for gainful employment for the first time (never gainfully employed before)</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Unemployed (was gainfully employed before) [] On parental or maternity leave</div> <div class="i2">[] Was gainfully employed before the leave [] Was unemployed before the leave [For those who chose "Unemployed" and "On parental or maternity leave",] Please answer questions 12 to 14 on the type of work you last did. If you are also (marginally) gainfully employed, please answer questions 12 to 15 on the work you are currently doing.</div> <div class="i1">[] On compulsory military service or conscientious objector doing non-military service</div> <div class="i2">Please answer just questions 14 and 15 on the route taken to the barracks or place of service.</div> <div class="i1">[] Homemaker [] Retirement pension from own gainful employment [] Widow's or widower's pension</div> <div class="i2">[For those who chose three choices above,] If you are also gainfully employed, please proceed to question 12. Otherwise, thank you, no further questions.</div> <div class="i1">[] Pupil or university student: Please answer question 15 regarding the route taken to school.</div> <div class="i2">If you are also gainfully employed (e.g. working a job on the side as a student) please answer questions 12 to 15 regarding this employment.</div> <div class="i1">[] Child not currently attending school</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Other means of livelihood (e.g. public welfare, support payments, supported by relatives, rent revenues):</div> <div class="i2">If you are also gainfully employed please proceed to question 12. Otherwise, thank you, no further questions.</div> </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426">Question 11: General instructions: Please put an "X" in all boxes applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment puts an "X" in both boxes. The note next to "Marginally employed part time" indicates that the person should proceed to questions 12 to 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are deemed to be gainfully employed. A person who does just voluntary work is not deemed to be gainfully employed. Whether you have full-time, part-time or marginally part-time employment depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box Answer questions 12 to 15 for this gainful employment (if several part-time positions are held, for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges put an "X" next to "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). The unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and the winter season) are deemed to be unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). Persons undergoing practical training, e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and for nursing, are deemed to be fully employed. Persons undergoing vocational retraining put an "X" next to "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer the questions 12 to 15 for their previous occupation (i.e. not "Public Employment Services Agency"). Persons attending vocational or professional preparatory courses put an "X" next to "pupil or university student" and answer the question 10.1 "School currently attended" and question 15. Persons drawing special emergency relief assistance (Sondernotstandshilfe) are not deemed to be unemployed and put an "X" next to "Other means of livelihood." </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are: Explanation: General instructions: Please mark all boxes that are applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment marks both boxes. The note next to "Marginally employed part-time" indicates that the person should proceed to questions 12 through 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are considered to be gainfully employed. A person who only works voluntarily is not considered to be gainfully employed. Whether you are employed full-time, part-time or marginally part-time depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box. Answer questions 12 through 15 for this gainful employment (if several part-time positions are held, answer the questions for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges mark "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). Unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an [p. 91] apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and winter season) are considered unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). <div class="i1">Persons undergoing practical training, (e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and nursing) are considered gainfully employed. Persons undergoing vocational retraining mark "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer questions 12 through 15 for their previous occupation (i.e. not "Public Employment Services Agency") Persons attending vocational or professional preparatory courses should mark "pupil or university student" and answer the question 10.1 "School currently attended" as well as question 15. Persons receiving special emergency relief assistance are not considered to be unemployed and should mark "Other means of livelihood."</div> Question 11 must be answered by every person. Double markings are possible. The situation in the last weeks before the census is to be considered, in cases of doubt, the situation on May 15, 2001. Who is gainfully employed? Anyone who works at least 1 hour per week on average is gainfully employed and answers questions 12 through 15 for this employment. The following groups of persons are considered gainfully employed, although they often do not identify themselves as such: <div class="i1">Helpers in a family business (especially housewives) Retirees with a secondary occupation Working students Farmers Wives of farmers with at least 1 hour per week of yard or field work Apprentices Nursing students Contractors for work and services Freelance employees Freelancers Tradesman Members of a religious order (e.g. nuns): Questions 12 through 15 should be answered for the secular profession (e.g. Kindergarten teacher, nurse). If no secular profession is available, "Nun" or "monk" is entered for the job title in question 13. Persons in disabled local units of employment: Questions 12 through 15 are answered for the job that is performed in this local unit of employment.</div> Below you will find further instructions on the specific characteristics: Working for the home or family: This box should be marked by persons that devote their work to their own household. If these persons are also gainfully employed, they should mark the appropriate box and answer questions 12 through 15 for this occupation. Seeking gainful employment for the first time: This box should be marked by persons that have not previously been gainfully employed and are now searching for work or an apprenticeship. On parental or maternity leave: Questions 12 through 15 should be answered for the occupation practiced before entering parental or maternity leave. Retirement pension from own gainful employment: This box should be marked by persons that receive their own pension. [p. 92] Widow or widower's pension: Persons that receive a widow or widower's pension should mark this box. Pupil or university student: Persons that currently attend a school, university, etc. should mark this box. Other means of livelihood: Persons that live on an orphan pension or accident benefits should also mark this box. <div class="i1">With this questions it is determined, who, and to what extent, is "gainfully employed" (and accordingly who must answer the further questions). The structural data about gainfully employed and commuters are among the most important results of the population census. The numbers about gainfully employed are needed for calculating general and specific labor force participation rates and find application as a basis for different predictions. Information about participation in working life is important for labor market analyses and international comparisons. Especially of interest are the type and scope of the gainful employment of older employees, women, youth and foreigners. Data about the extent of gainful employment in connection with information about gender, age and marital status gain increasing weight in the face of growing importance of part time work, especially for family policy and regional levels. This question further makes it possible to divide the not gainfully employed population into the predominant source of livelihood. This differentiation is of central importance for many economic and socio-political questions, for example: the dependent children and homemakers of gainfully employed persons, the occupation of women in terms of age as well as the numerical proportion of gainfully employed and retired persons.</div> </svar> Austria 2001: All persons This variable indicates whether the person is employed or unemployed (livelihood concept). 1 Employed 2 Unemployed 3 Not economically active Work Variables -- PERSON Whether economically active or not (livelihood concept) <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are (multiple answers are possible, e.g. retired marginally employed on a part-time basis): <div class="i1">Self-employed, farmers, freelances and liberal professionals, family members helping out in the family business, apprentices and nursing trainees are also considered to be gainfully employed. [] Gainfully employed full time (32 and more hours a week) [] Gainfully employed part time (12 to 31 hours a week) [] Marginally employed part time (1 to 11 hours a week):</div> <div class="i2">[Those who chosen three choices above,] Please answer questions 12 to 15</div> <div class="i1">[] Looking for gainful employment for the first time (never gainfully employed before)</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Unemployed (was gainfully employed before) [] On parental or maternity leave</div> <div class="i2">[] Was gainfully employed before the leave [] Was unemployed before the leave [For those who chose "Unemployed" and "On parental or maternity leave",] Please answer questions 12 to 14 on the type of work you last did. If you are also (marginally) gainfully employed, please answer questions 12 to 15 on the work you are currently doing.</div> <div class="i1">[] On compulsory military service or conscientious objector doing non-military service</div> <div class="i2">Please answer just questions 14 and 15 on the route taken to the barracks or place of service.</div> <div class="i1">[] Homemaker [] Retirement pension from own gainful employment [] Widow's or widower's pension</div> <div class="i2">[For those who chose three choices above,] If you are also gainfully employed, please proceed to question 12. Otherwise, thank you, no further questions.</div> <div class="i1">[] Pupil or university student: Please answer question 15 regarding the route taken to school.</div> <div class="i2">If you are also gainfully employed (e.g. working a job on the side as a student) please answer questions 12 to 15 regarding this employment.</div> <div class="i1">[] Child not currently attending school</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Other means of livelihood (e.g. public welfare, support payments, supported by relatives, rent revenues):</div> <div class="i2">If you are also gainfully employed please proceed to question 12. Otherwise, thank you, no further questions.</div> </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426">Question 11: General instructions: Please put an "X" in all boxes applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment puts an "X" in both boxes. The note next to "Marginally employed part time" indicates that the person should proceed to questions 12 to 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are deemed to be gainfully employed. A person who does just voluntary work is not deemed to be gainfully employed. Whether you have full-time, part-time or marginally part-time employment depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box Answer questions 12 to 15 for this gainful employment (if several part-time positions are held, for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges put an "X" next to "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). The unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and the winter season) are deemed to be unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). Persons undergoing practical training, e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and for nursing, are deemed to be fully employed. Persons undergoing vocational retraining put an "X" next to "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer the questions 12 to 15 for their previous occupation (i.e. not "Public Employment Services Agency"). Persons attending vocational or professional preparatory courses put an "X" next to "pupil or university student" and answer the question 10.1 "School currently attended" and question 15. Persons drawing special emergency relief assistance (Sondernotstandshilfe) are not deemed to be unemployed and put an "X" next to "Other means of livelihood." </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are: Explanation: General instructions: Please mark all boxes that are applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment marks both boxes. The note next to "Marginally employed part-time" indicates that the person should proceed to questions 12 through 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are considered to be gainfully employed. A person who only works voluntarily is not considered to be gainfully employed. Whether you are employed full-time, part-time or marginally part-time depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box. Answer questions 12 through 15 for this gainful employment (if several part-time positions are held, answer the questions for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges mark "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). Unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an [p. 91] apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and winter season) are considered unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). <div class="i1">Persons undergoing practical training, (e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and nursing) are considered gainfully employed. Persons undergoing vocational retraining mark "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer questions 12 through 15 for their previous occupation (i.e. not "Public Employment Services Agency") Persons attending vocational or professional preparatory courses should mark "pupil or university student" and answer the question 10.1 "School currently attended" as well as question 15. Persons receiving special emergency relief assistance are not considered to be unemployed and should mark "Other means of livelihood."</div> Question 11 must be answered by every person. Double markings are possible. The situation in the last weeks before the census is to be considered, in cases of doubt, the situation on May 15, 2001. Who is gainfully employed? Anyone who works at least 1 hour per week on average is gainfully employed and answers questions 12 through 15 for this employment. The following groups of persons are considered gainfully employed, although they often do not identify themselves as such: <div class="i1">Helpers in a family business (especially housewives) Retirees with a secondary occupation Working students Farmers Wives of farmers with at least 1 hour per week of yard or field work Apprentices Nursing students Contractors for work and services Freelance employees Freelancers Tradesman Members of a religious order (e.g. nuns): Questions 12 through 15 should be answered for the secular profession (e.g. Kindergarten teacher, nurse). If no secular profession is available, "Nun" or "monk" is entered for the job title in question 13. Persons in disabled local units of employment: Questions 12 through 15 are answered for the job that is performed in this local unit of employment.</div> Below you will find further instructions on the specific characteristics: Working for the home or family: This box should be marked by persons that devote their work to their own household. If these persons are also gainfully employed, they should mark the appropriate box and answer questions 12 through 15 for this occupation. Seeking gainful employment for the first time: This box should be marked by persons that have not previously been gainfully employed and are now searching for work or an apprenticeship. On parental or maternity leave: Questions 12 through 15 should be answered for the occupation practiced before entering parental or maternity leave. Retirement pension from own gainful employment: This box should be marked by persons that receive their own pension. [p. 92] Widow or widower's pension: Persons that receive a widow or widower's pension should mark this box. Pupil or university student: Persons that currently attend a school, university, etc. should mark this box. Other means of livelihood: Persons that live on an orphan pension or accident benefits should also mark this box. <div class="i1">With this questions it is determined, who, and to what extent, is "gainfully employed" (and accordingly who must answer the further questions). The structural data about gainfully employed and commuters are among the most important results of the population census. The numbers about gainfully employed are needed for calculating general and specific labor force participation rates and find application as a basis for different predictions. Information about participation in working life is important for labor market analyses and international comparisons. Especially of interest are the type and scope of the gainful employment of older employees, women, youth and foreigners. Data about the extent of gainful employment in connection with information about gender, age and marital status gain increasing weight in the face of growing importance of part time work, especially for family policy and regional levels. This question further makes it possible to divide the not gainfully employed population into the predominant source of livelihood. This differentiation is of central importance for many economic and socio-political questions, for example: the dependent children and homemakers of gainfully employed persons, the occupation of women in terms of age as well as the numerical proportion of gainfully employed and retired persons.</div> </svar> Austria 2001: All persons This variable indicates whether the person's supporter is economically active or not (livelihood concept). 1 Economically active 2 Not economically active Work Variables -- PERSON Status in employment (of supporter) <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> 12. Professional position: <div class="i1">[] Skilled worker [] Semiskilled worker [] Unskilled worker [] Apprentice [] White-collar worker; or contracted worker in public services [] Civil servant [] Self-employed [] Helping in family business [] Under contract for works and services, freelance staff</div><svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A424 AT01A425 AT01A426" a="AT01A424 AT01A425">12. Professional position: Explanation: "Self-employed" (also freelancers) are individuals who pursue their profession on their own behalf and are therefore not in an employment relationship as an employee. [p. 93] Persons "helping in a family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for their work. Persons "under contract for works and services, freelance employees" are persons who perform their work on their own behalf, similar to the self-employed. <div class="i1">The "professional position" portrays the legal status or the collectively agreed classification that a person has in a company. Different analyses about the occupational distribution and economic structure are only meaningful in combination with the professional position (e.g. the demand for freelance and employed doctors).</div> </svar> Austria 2001: All persons This variable indicates the employment status of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 1 Self-employed 2 Unpaid family worker 3 Employee, non-manual 4 Civil servant 5 Skilled manual worker 6 Semi-skilled manual worker 7 Unskilled manual worker 8 Looking for a job for the first time 9 Not economically active Work Variables -- PERSON Status in employment 2 (of supporter) <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> 12. Professional position: <div class="i1">[] Skilled worker [] Semiskilled worker [] Unskilled worker [] Apprentice [] White-collar worker; or contracted worker in public services [] Civil servant [] Self-employed [] Helping in family business [] Under contract for works and services, freelance staff</div><svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A424 AT01A425 AT01A426" a="AT01A424 AT01A425">12. Professional position: Explanation: "Self-employed" (also freelancers) are individuals who pursue their profession on their own behalf and are therefore not in an employment relationship as an employee. [p. 93] Persons "helping in a family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for their work. Persons "under contract for works and services, freelance employees" are persons who perform their work on their own behalf, similar to the self-employed. <div class="i1">The "professional position" portrays the legal status or the collectively agreed classification that a person has in a company. Different analyses about the occupational distribution and economic structure are only meaningful in combination with the professional position (e.g. the demand for freelance and employed doctors).</div> </svar> Austria 2001: All persons This variable indicates the class of worker of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 1 Employer, assistant, unpaid family worker 2 Employee 3 Not economically active 4 Looking for a job for the first time (2001) Work Variables -- PERSON Socio-economic group (of supporter) <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are (multiple answers are possible, e.g. retired marginally employed on a part-time basis): <div class="i1">Self-employed, farmers, freelances and liberal professionals, family members helping out in the family business, apprentices and nursing trainees are also considered to be gainfully employed. [] Gainfully employed full time (32 and more hours a week) [] Gainfully employed part time (12 to 31 hours a week) [] Marginally employed part time (1 to 11 hours a week):</div> <div class="i2">[Those who chosen three choices above,] Please answer questions 12 to 15</div> <div class="i1">[] Looking for gainful employment for the first time (never gainfully employed before)</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Unemployed (was gainfully employed before) [] On parental or maternity leave</div> <div class="i2">[] Was gainfully employed before the leave [] Was unemployed before the leave [For those who chose "Unemployed" and "On parental or maternity leave",] Please answer questions 12 to 14 on the type of work you last did. If you are also (marginally) gainfully employed, please answer questions 12 to 15 on the work you are currently doing.</div> <div class="i1">[] On compulsory military service or conscientious objector doing non-military service</div> <div class="i2">Please answer just questions 14 and 15 on the route taken to the barracks or place of service.</div> <div class="i1">[] Homemaker [] Retirement pension from own gainful employment [] Widow's or widower's pension</div> <div class="i2">[For those who chose three choices above,] If you are also gainfully employed, please proceed to question 12. Otherwise, thank you, no further questions.</div> <div class="i1">[] Pupil or university student: Please answer question 15 regarding the route taken to school.</div> <div class="i2">If you are also gainfully employed (e.g. working a job on the side as a student) please answer questions 12 to 15 regarding this employment.</div> <div class="i1">[] Child not currently attending school</div> <div class="i2">Thank you, no further questions.</div> <div class="i1">[] Other means of livelihood (e.g. public welfare, support payments, supported by relatives, rent revenues):</div> <div class="i2">If you are also gainfully employed please proceed to question 12. Otherwise, thank you, no further questions.</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> 12. Professional position: <div class="i1">[] Skilled worker [] Semiskilled worker [] Unskilled worker [] Apprentice [] White-collar worker; or contracted worker in public services [] Civil servant [] Self-employed [] Helping in family business [] Under contract for works and services, freelance staff</div><svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426">Question 11: General instructions: Please put an "X" in all boxes applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment puts an "X" in both boxes. The note next to "Marginally employed part time" indicates that the person should proceed to questions 12 to 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are deemed to be gainfully employed. A person who does just voluntary work is not deemed to be gainfully employed. Whether you have full-time, part-time or marginally part-time employment depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box Answer questions 12 to 15 for this gainful employment (if several part-time positions are held, for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges put an "X" next to "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). The unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and the winter season) are deemed to be unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). Persons undergoing practical training, e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and for nursing, are deemed to be fully employed. Persons undergoing vocational retraining put an "X" next to "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer the questions 12 to 15 for their previous occupation (i.e. not "Public Employment Services Agency"). Persons attending vocational or professional preparatory courses put an "X" next to "pupil or university student" and answer the question 10.1 "School currently attended" and question 15. Persons drawing special emergency relief assistance (Sondernotstandshilfe) are not deemed to be unemployed and put an "X" next to "Other means of livelihood." </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A418 AT01A419 AT01A420 AT01A421 AT01A422 AT01A423 AT01A426" a="all">11. You are: Explanation: General instructions: Please mark all boxes that are applicable to you and note the references to further questions. Example: A housewife with marginal part-time employment marks both boxes. The note next to "Marginally employed part-time" indicates that the person should proceed to questions 12 through 15 and answer them. Instructions for individual groups of persons: Gainfully employed persons: Persons over 15 years of age who do paid work at least 1 hour per week or help in a family business without being formally paid are considered to be gainfully employed. A person who only works voluntarily is not considered to be gainfully employed. Whether you are employed full-time, part-time or marginally part-time depends on how many hours a week you work on average. If you work several jobs, you should add up the total number of hours worked per week and mark the appropriate box. Answer questions 12 through 15 for this gainful employment (if several part-time positions are held, answer the questions for the job involving the most working hours.) Exceptions: Teachers with a full-time teaching position and judges mark "gainfully employed full time" even if their work week is less than 32 hours. This is also true of workers in businesses with "short-time working" arrangements (i.e. temporarily reduced working hours). Unemployed: Persons over 15 years of age who were previously employed and who are seeking work or an [p. 91] apprenticeship position are deemed to be unemployed regardless of whether or not they receive unemployment benefits. Seasonally unemployed persons (e.g. waiters who are without a job between the summer season and winter season) are considered unemployed unless they pursue other work in the intervening period (in the period around May 15) (e.g. helping out on the family farm). <div class="i1">Persons undergoing practical training, (e.g. apprentices, trainees, unpaid interns, pupils being trained for police work and nursing) are considered gainfully employed. Persons undergoing vocational retraining mark "gainfully employed full time" if they still hold their position or if they have health insurance through the public employment services agency (AMS) but should answer questions 12 through 15 for their previous occupation (i.e. not "Public Employment Services Agency") Persons attending vocational or professional preparatory courses should mark "pupil or university student" and answer the question 10.1 "School currently attended" as well as question 15. Persons receiving special emergency relief assistance are not considered to be unemployed and should mark "Other means of livelihood."</div> Question 11 must be answered by every person. Double markings are possible. The situation in the last weeks before the census is to be considered, in cases of doubt, the situation on May 15, 2001. Who is gainfully employed? Anyone who works at least 1 hour per week on average is gainfully employed and answers questions 12 through 15 for this employment. The following groups of persons are considered gainfully employed, although they often do not identify themselves as such: <div class="i1">Helpers in a family business (especially housewives) Retirees with a secondary occupation Working students Farmers Wives of farmers with at least 1 hour per week of yard or field work Apprentices Nursing students Contractors for work and services Freelance employees Freelancers Tradesman Members of a religious order (e.g. nuns): Questions 12 through 15 should be answered for the secular profession (e.g. Kindergarten teacher, nurse). If no secular profession is available, "Nun" or "monk" is entered for the job title in question 13. Persons in disabled local units of employment: Questions 12 through 15 are answered for the job that is performed in this local unit of employment.</div> Below you will find further instructions on the specific characteristics: Working for the home or family: This box should be marked by persons that devote their work to their own household. If these persons are also gainfully employed, they should mark the appropriate box and answer questions 12 through 15 for this occupation. Seeking gainful employment for the first time: This box should be marked by persons that have not previously been gainfully employed and are now searching for work or an apprenticeship. On parental or maternity leave: Questions 12 through 15 should be answered for the occupation practiced before entering parental or maternity leave. Retirement pension from own gainful employment: This box should be marked by persons that receive their own pension. [p. 92] Widow or widower's pension: Persons that receive a widow or widower's pension should mark this box. Pupil or university student: Persons that currently attend a school, university, etc. should mark this box. Other means of livelihood: Persons that live on an orphan pension or accident benefits should also mark this box. <div class="i1">With this questions it is determined, who, and to what extent, is "gainfully employed" (and accordingly who must answer the further questions). The structural data about gainfully employed and commuters are among the most important results of the population census. The numbers about gainfully employed are needed for calculating general and specific labor force participation rates and find application as a basis for different predictions. Information about participation in working life is important for labor market analyses and international comparisons. Especially of interest are the type and scope of the gainful employment of older employees, women, youth and foreigners. Data about the extent of gainful employment in connection with information about gender, age and marital status gain increasing weight in the face of growing importance of part time work, especially for family policy and regional levels. This question further makes it possible to divide the not gainfully employed population into the predominant source of livelihood. This differentiation is of central importance for many economic and socio-political questions, for example: the dependent children and homemakers of gainfully employed persons, the occupation of women in terms of age as well as the numerical proportion of gainfully employed and retired persons.</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A424 AT01A425 AT01A426" a="AT01A424 AT01A425">12. Professional position: Explanation: "Self-employed" (also freelancers) are individuals who pursue their profession on their own behalf and are therefore not in an employment relationship as an employee. [p. 93] Persons "helping in a family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for their work. Persons "under contract for works and services, freelance employees" are persons who perform their work on their own behalf, similar to the self-employed. <div class="i1">The "professional position" portrays the legal status or the collectively agreed classification that a person has in a company. Different analyses about the occupational distribution and economic structure are only meaningful in combination with the professional position (e.g. the demand for freelance and employed doctors).</div> </svar> Austria 2001: All persons This variable indicates the socio-economic group of the person or the person's "supporter." The variable reports the actual group for people who were economically active. Economically inactive children reported the group of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the group of the household head. 01 Self-employed and family worker in agriculture 02 Self-employed and family worker in technical and scientific occupations 03 Self-employed in product and service occupations 04 Employee - non-manual, university degree 05 Employee - non-manual, higher education 06 Employee - non-manual, intermediate education 07 Employee - non-manual, vocational education 08 Employee - non-manual, compulsory education 09 Skilled manual worker 10 Semi-skilled manual worker 11 Unskilled manual worker 12 Looking for a job for the first time 13 Not economically active Work Variables -- PERSON Occupation of supporter: ISCO unit groups <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation (you are currently in): ____ <div class="i1">e.g. "bookkeeper" or "shoe salesperson" not "commercial employee"; "video equipment assembler" not unskilled worker; "clerical worker", "tax calculator at revenue authority", "street cleaner" -- not civil servant; "pc administrator", "film developer", "operations scheduler" not "technical employee".</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation: Explanation: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). Examples of precise work designations: Accounts clerk, Men's shirts packing machinist, Glass cutter, Foreman at dipping paint plant, Manager of retail shop, High voltage line installer, Planing machine operator, Scientific researcher in environmental protection. This information should be classified into around 400 different occupational categories. For that reason, please make sure that the information is as precise as possible. For a generally held entry (e.g. office worker), an exact classification is not possible because one does not know if the person as should be entered as an authorized officer, bookkeeper, shorthand typist, paper sorter etc. The entries for this question should be coded with automation-support - with the help of systematic directories. <div class="i1">With this question the field of activity that a person in a company supervises is depicted. The population census is one of the most important, comprehensive data sources for analyses of occupational distribution. It makes possible the depiction of occupations in combination with other characteristics, for example: education, place of residence and place of work of the gainfully employed. The occupation practiced in comparison with the education completed is of importance for the predictions of the "replacement demand" or for the guidance of youth educational paths. Need calculations for individual occupational groups and occupations are also among the analyses, which make activities for labor market advancement and directed occupational counseling possible. In addition, information about career change is gained, due to the connection between learned and practiced occupation.</div> </svar> Austria 2001: Persons whose supporters are economically active [discrepancies: none] This variable indicates the ISCO occupation unit group of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 001 Legislators and senior government officials 002 Senior officials of political party organizations 003 Senior officials of employers', workers' and other economic interest organizations 004 Senior officials of humanitarian and other special interest organizations 005 Directors and chief executives 006 Production and operations managers in agriculture, hunting, forestry and fishing 007 Production and operations managers in manufacturing 008 Production and operations managers in construction 009 Production and operations managers in wholesale and retail trade 010 Production and operations managers in restaurants and hotels 011 Production and operations managers in transport, storage and communications 012 Production and operations managers in business services enterprises 013 Production and operations managers in personal care, cleaning and related services 014 Production and operations managers not elsewhere classified 015 Finance and administration managers 016 Personnel and industrial relations managers 017 Sales and marketing managers 018 Advertising and public relations managers 019 Supply and distribution managers 020 Computing services managers 021 Research and development managers 022 Other specialist managers not elsewhere classified 023 Managers of small enterprises in agriculture, hunting, forestry and fishing 024 Managers of small enterprises in manufacturing 025 Managers of small enterprises in construction 026 Managers of small enterprises in wholesale and retail trade 027 Managers of small enterprises of restaurants and hotels 028 Managers of small enterprises in transport, storage and communications 029 Managers of small enterprises in business services enterprises 030 Managers of small enterprises in personal care, cleaning and related services 031 Managers of small enterprises not elsewhere classified 032 Physicists and astronomers 033 Meteorologists 034 Chemists 035 Geologists and geophysicists 036 Mathematicians and related professionals 037 Statisticians 038 Computer systems designers, analysts and programmers 039 Computing professionals not elsewhere classified 040 Architects, engineers and related professionals 041 Architects, town and traffic planners 042 Civil engineers 043 Electrical engineers 044 Electronics and telecommunications engineers 045 Mechanical engineers 046 Chemical engineers 047 Mining engineers, metallurgists and related professionals 048 Cartographers and surveyors 049 Architects, engineers and related professionals not elsewhere classified 050 Biologists, botanists, zoologists and related professionals 051 Pharmacologists, pathologists and related professionals 052 Agronomists and related professionals 053 Medical doctors 054 Dentists 055 Veterinarians 056 Pharmacists 058 Nursing and midwifery professionals 059 College, university and higher education teaching professionals 060 Secondary education teaching professionals 061 Primary education teaching professionals 063 Special education teaching professionals 064 Education methods specialists 065 School inspectors 066 Other teaching professionals not elsewhere classified 067 Accountants 068 Personnel and careers professionals 069 Business professionals not elsewhere classified 070 Lawyers 071 Judges 072 Legal professionals not elsewhere classified 073 Archivists and curators 074 Librarians and related information professionals 075 Economists 076 Sociologists, anthropologists and related professionals 077 Philosophers, historians and political scientists 078 Philologists, translators and interpreters 079 Psychologists 080 Social work professionals 081 Writers and creative or performing artists 082 Authors, journalists and other writers 083 Sculptors, painters and related artists 084 Composers, musicians and singers 085 Choreographers and dancers 086 Film, stage and related actors and directors 087 Religious professionals 088 Public service administrative professionals 089 Physical and engineering science associate professionals 090 Chemical and physical science technicians 091 Civil engineering technicians 092 Electrical engineering technicians 093 Electronics and telecommunications engineering technicians 094 Mechanical engineering technicians 095 Chemical engineering technicians 096 Mining and metallurgical technicians 097 Draftsmen 098 Physical and engineering science technicians not elsewhere classified 099 Computer assistants 100 Computer equipment operators 102 Photographers and image and sound recording equipment operators 103 Broadcasting and telecommunications equipment operators 104 Medical equipment operators 107 Ships' deck officers and pilots 108 Aircraft pilots and related associate professionals 109 Air traffic controllers 110 Air traffic safety technicians 111 Building and fire inspectors 112 Safety, health and quality inspectors 113 Life science technicians 114 Agronomy and forestry technicians 115 Farming and forestry advisers 116 Medical assistants 118 Dieticians and nutritionists 119 Optometrists and opticians 121 Physiotherapists and related associate professionals 123 Pharmaceutical assistants 124 Health associate professionals (except nursing) not elsewhere classified 125 Nursing associate professionals 126 Midwifery associate professionals 128 Pre-primary education teaching associate professionals 130 Other teaching associate professionals 131 Securities and finance dealers and brokers 132 Insurance representatives 133 Estate agents 134 Travel consultants and organizers 135 Technical and commercial sales representatives 136 Buyers 137 Appraisers, valuers and auctioneers 138 Finance and sales associate professionals not elsewhere classified 139 Trade brokers 140 Clearing and forwarding agents 141 Employment agents and labor contractors 142 Business services agents and trade brokers not elsewhere classified 143 Administrative secretaries and related associate professionals 144 Legal and related business associate professionals 145 Bookkeepers 146 Statistical, mathematical and related associate professionals 147 Customs and border inspectors 148 Government tax and excise officials 149 Government social benefits officials 150 Government licensing officials 151 Customs, tax and related government associate professionals not elsewhere classified 152 Police inspectors and detectives 153 Social work associate professionals 154 Decorators and commercial designers 155 Radio, television and other announcers 156 Street, night club and related musicians, singers and dancers 157 Clowns, magicians, acrobats and related associate professionals 158 Athletes, sports persons and related associate professionals 159 Religious associate professionals 160 Stenographers and typists 162 Data entry operators 164 Secretaries 165 Accounting and bookkeeping clerks 166 Statistical and finance clerks 167 Stock clerks 168 Production clerks 169 Transport clerks 170 Library and filing clerks 171 Mail carriers and sorting clerks 172 Coding, proofreading and related clerks 174 Other office clerks 175 Cashiers and ticket clerks 176 Tellers and other counter clerks 177 Bookmakers and croupiers 179 Debt collectors and related workers 180 Travel agency and related clerks 181 Receptionists and information clerks 182 Telephone switchboard operators 183 Travel attendants and travel stewards 184 Transport conductors 185 Travel guides 186 Housekeepers and related workers 187 Cooks 188 Waiters, waitresses and bartenders 189 Child care workers 190 Institution-based personal care workers 191 Home-based personal care workers 192 Personal care and related workers not elsewhere classified 193 Hairdressers, barbers, beauticians and related workers 195 Undertakers and embalmers 196 Other personal services workers not elsewhere classified 197 Firefighters 198 Police officers 199 Prison guards 200 Protective services workers not elsewhere classified 202 Shop, stall and market salespersons and demonstrators 203 Field crop and vegetable growers 204 Gardeners, horticultural and nursery growers 205 Dairy and livestock producers 207 Animal producers and related workers not elsewhere classified 208 Crop and animal producers 209 Forestry workers and loggers 214 Hunters and trappers 215 Miners and quarry workers 216 Blasters 217 Stone splitters, cutters and carvers 219 Bricklayers and stonemasons 220 Concrete placers, concrete finishers and related workers 221 Carpenters and joiners 222 Building frame and related trades workers not elsewhere classified 223 Roofers 224 Floor layers and tile setters 225 Plasterers 226 Insulation workers 227 Glaziers 228 Plumbers and pipe fitters 229 Building and related electricians 230 Building finishers and related trade workers not elsewhere classified 231 Painters and related workers 232 Building structure cleaners 233 Metal molders and coremakers 234 Welders and flame cutters 235 Sheet-metal workers 236 Structural-metal preparers and erectors 237 Riggers and cable splicers 239 Blacksmiths, hammersmiths and forging press workers 240 Toolmakers and related workers 241 Machine-tool setters and setter-operators 242 Metal wheel grinders, polishers and tool sharpeners 243 Motor vehicle mechanics and fitters 244 Aircraft engine mechanics and fitters 245 Agricultural or industrial machinery mechanics and fitters 246 Electrical mechanics fitters and services 247 Electronics mechanics, fitters and servicers 248 Telegraph and telephone installers and servicers 249 Electrical line installers, repairers and cable jointers 250 Precision instrument makers and repairers 251 Musical instrument makers and tuners 252 Jewelry and precious metal workers 253 Abrasive wheel formers, potters and related workers 254 Glassmakers, cutters, grinders and finishers 256 Glass, ceramics and related decorative painters 257 Handicraft workers 258 Handicraft workers in wood and related materials 259 Handicraft workers in textile, leather and related materials 260 Compositors, typesetters and related workers 262 Printing engravers and etchers 263 Photographic and related workers 264 Bookbinders and related workers 265 Silkscreen, block and craft textile printers 266 Butchers, fishmongers and related food preparers 267 Bakers, pastry cooks and confectionery makers 268 Dairy products workers 272 Wood treaters 273 Cabinetmakers and related workers 274 Woodworking machine setters and setter-operators 277 Weavers, knitters and related workers 278 Tailors, dressmakers and hatters 279 Furriers and related workers 280 Textile, leather and related pattern-makers and cutters 281 Sewers, embroiderers and related workers 282 Upholsterers and related workers 283 Pelt dressers, tanners and fell mongers 284 Shoemakers and related workers 285 Mining plant operators 287 Well drillers and borers and related workers 288 Ore and metal furnace operators 289 Metal melters, casters and rolling mill operators 290 Metal heat treating plant operators 294 Wood processing plant operators 296 Papermaking plant operators 297 Chemical processing plant operators 298 Crushing, grinding and chemical mixing machinery operators 304 Power production and related plant operators 305 Power production plant operators 306 Steam engine and boiler operators 307 Incinerator, water treatment and related plant operators 309 Machine-tool operators 310 Cement and other mineral products machine operators 311 Pharmaceutical and toiletry products machine operators 312 Ammunition and explosive products machine operators 313 Metal finishing, plating and coating machine operators 315 Chemical products machine operators not elsewhere classified 316 Rubber products machine operators 317 Plastic products machine operators 318 Wood products machine operators 319 Printing machine operators 321 Paper products machine operators 322 Fiber-preparing, spinning and winding-machine operators 323 Weaving and knitting machine operators 324 Sewing machine operators 325 Bleaching, dyeing and cleaning machine operators 327 Shoemaking and related machine operators 328 Textile, fur and leather products machine operators not elsewhere classified 329 Food and related products machine operators 330 Meat and fish processing machine operators 331 Dairy products machine operators 332 Grain and spice milling machine operators 333 Baked goods, cereal and chocolate products machine operators 334 Fruit, vegetable and nut processing machine operators 337 Brewers, wine and other beverage machine operators 339 Assemblers 340 Mechanical machinery assemblers 341 Electrical equipment assemblers 342 Electronic equipment assemblers 343 Metal, rubber and plastic products assemblers 345 Paperboard, textile and related products assemblers 347 Other machine operators not elsewhere classified 348 Locomotive engine drivers 349 Railway brakers, signalers and shunters 350 Motor vehicle drivers 352 Car, taxi and van drivers 353 Bus and tram drivers 354 Heavy truck drivers 355 Motorized farm and forestry plant operators 356 Earth-moving and related plant operators 357 Crane, hoist and related plant operators 358 Lifting truck operators 360 Street vendors 361 Door to door and telephone salespersons 363 Domestic helpers and cleaners 364 Helpers and cleaners in offices, hotels and other establishments 366 Building caretakers 367 Vehicle, window and related cleaners 368 Messengers, package and luggage porters and deliverers 369 Doorkeepers, watchpersons and related workers 370 Vending machine money collectors, meter readers and related workers 371 Garbage collectors 372 Sweepers and related laborers 373 Farmhands and laborers 374 Forestry laborers 376 Mining and quarrying laborers 377 Construction and maintenance laborers: roads, dams and similar constructions 378 Building construction laborers 379 Manufacturing laborers 380 Transport laborers and freight handlers 381 Armed forces 382 Looking for a job for the first time 995 Response suppressed 999 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation of supporter: ISCO minor groups <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation (you are currently in): ____ <div class="i1">e.g. "bookkeeper" or "shoe salesperson" not "commercial employee"; "video equipment assembler" not unskilled worker; "clerical worker", "tax calculator at revenue authority", "street cleaner" -- not civil servant; "pc administrator", "film developer", "operations scheduler" not "technical employee".</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation: Explanation: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). Examples of precise work designations: Accounts clerk, Men's shirts packing machinist, Glass cutter, Foreman at dipping paint plant, Manager of retail shop, High voltage line installer, Planing machine operator, Scientific researcher in environmental protection. This information should be classified into around 400 different occupational categories. For that reason, please make sure that the information is as precise as possible. For a generally held entry (e.g. office worker), an exact classification is not possible because one does not know if the person as should be entered as an authorized officer, bookkeeper, shorthand typist, paper sorter etc. The entries for this question should be coded with automation-support - with the help of systematic directories. <div class="i1">With this question the field of activity that a person in a company supervises is depicted. The population census is one of the most important, comprehensive data sources for analyses of occupational distribution. It makes possible the depiction of occupations in combination with other characteristics, for example: education, place of residence and place of work of the gainfully employed. The occupation practiced in comparison with the education completed is of importance for the predictions of the "replacement demand" or for the guidance of youth educational paths. Need calculations for individual occupational groups and occupations are also among the analyses, which make activities for labor market advancement and directed occupational counseling possible. In addition, information about career change is gained, due to the connection between learned and practiced occupation.</div> </svar> Austria 2001: Persons whose supporters are economically active [discrepancies: none] This variable indicates the ISCO occupation minor groups of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 001 Legislators and senior government officials 002 Senior officials of special interest organizations 003 Directors and chief executives 004 Production and operations managers 005 Other specialist managers 006 Managers of small enterprises 007 Physicists, chemists and related professionals 008 Mathematicians, statisticians and related professionals 009 Computing professionals 010 Architects, engineers and related professionals 011 Life science professionals 012 Health professionals (except nursing) 013 Nursing and midwifery professionals 014 College, university and higher education teachers 015 Secondary education teaching profession 016 Primary and pre-primary education teacher professionals 017 Special education teaching professional 018 Other teaching professionals 019 Business professionals 020 Legal professionals 021 Archivists, librarians and related information professionals 022 Social science and related professional 023 Writers and creative or performing artist 024 Religious professionals 025 Public service administrative professionals 026 Physical and engineering science professionals 027 Computer associate professionals 028 Optical and electronic equipment operators 029 Ship and aircraft controllers and related professionals 030 Safety and quality inspectors 031 Life science technicians and related professions 032 Health associate professionals (except nursing) 033 Nursing and midwifery associate professional 035 Pre-primary education teaching associate professional 037 Other teaching associate professionals 038 Finance and sales associate professional 039 Business services agents and trade broker 040 Administrative associate professionals 041 Customs, tax and related public administration professionals 042 Police inspectors and detectives 043 Social work associate professionals 044 Artistic, entertainment and sports related professionals 045 Religious associate professionals 046 Secretaries a keyboard operating clerks 047 Numerical clerks 048 Material recording and transport clerks 049 Library, mail and related clerks 050 Other office clerks 051 Cashiers, tellers and related clerks 052 Client information clerks 053 Travel attendants and related workers 054 Housekeeping and restaurant services work 055 Personal care and related workers 056 Other personal services workers 057 Protective services workers 059 Shop, stall and market salespersons and demonstrators 060 Market gardeners and crop growers 061 Animal producers and related workers 062 Crop and animal producers and owners 063 Forestry and related professionals 064 Fishery workers, hunters and trappers 065 Miners, blasters, stonecutters and stone sculptors 066 Building frame and related trades worker 067 Building finishers and related trades 068 Painters, building structure cleaners and related trades 069 Metal molders, welders, sheet-metal molders 070 Blacksmiths, toolmakers and related trades 071 Machinery mechanics and fitters 072 Electrical and electronic equipment mechanics 073 Precision workers in metal and related materials 074 Potters, glassmakers and related trades 075 Handicraft workers in wood, textile, leather and related materials 076 Craft printing workers and related trades 077 Food processing workers and related trades 078 Wood treaters, cabinetmakers and related trades 079 Textile, garment and related trades workers 080 Pelt, leather and shoemaking trades worker 081 Mining and mineral processing plant operators 082 Metal processing plant operators 084 Wood processing and papermaking plant operators 085 Chemical processing plant operators 086 Power-production and related plant operators 087 Industrial robot operators 088 Metal and mineral products machine operators 089 Chemical products machine operators 090 Rubber and plastic products machine operators 091 Wood products machine operators 092 Printing, binding and paper products machine operators 093 Textile, fur and leather product machine operators 094 Food and related products machine operators 095 Assemblers 096 Other machine operators not elsewhere classified 097 Locomotive engine drivers and related workers 098 Motor vehicle drivers 099 Agricultural and other mobile plant operators 101 Street vendors and related workers 102 Shoe cleaning and other services practiced on the street 103 Domestic and related helpers, cleaners, launderers 104 Building caretakers, window and related cleaning personnel 105 Messengers, porters, doorkeepers and related workers 106 Garbage collectors and related laborer 107 Agricultural, fishery and related laborer 108 Mining and construction laborers 109 Manufacturing laborers 110 Transport laborers and freight handler 111 Armed forces 112 Looking for a job for the first time 990 Response suppressed 999 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation of supporter: ISCO sub-major groups <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation (you are currently in): ____ <div class="i1">e.g. "bookkeeper" or "shoe salesperson" not "commercial employee"; "video equipment assembler" not unskilled worker; "clerical worker", "tax calculator at revenue authority", "street cleaner" -- not civil servant; "pc administrator", "film developer", "operations scheduler" not "technical employee".</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation: Explanation: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). Examples of precise work designations: Accounts clerk, Men's shirts packing machinist, Glass cutter, Foreman at dipping paint plant, Manager of retail shop, High voltage line installer, Planing machine operator, Scientific researcher in environmental protection. This information should be classified into around 400 different occupational categories. For that reason, please make sure that the information is as precise as possible. For a generally held entry (e.g. office worker), an exact classification is not possible because one does not know if the person as should be entered as an authorized officer, bookkeeper, shorthand typist, paper sorter etc. The entries for this question should be coded with automation-support - with the help of systematic directories. <div class="i1">With this question the field of activity that a person in a company supervises is depicted. The population census is one of the most important, comprehensive data sources for analyses of occupational distribution. It makes possible the depiction of occupations in combination with other characteristics, for example: education, place of residence and place of work of the gainfully employed. The occupation practiced in comparison with the education completed is of importance for the predictions of the "replacement demand" or for the guidance of youth educational paths. Need calculations for individual occupational groups and occupations are also among the analyses, which make activities for labor market advancement and directed occupational counseling possible. In addition, information about career change is gained, due to the connection between learned and practiced occupation.</div> </svar> Austria 2001: Persons whose supporters are economically active [discrepancies: none] This variable indicates the ISCO occupation sub-major group of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 01 Legislators and senior officials 02 Corporate managers 03 Managers of small enterprises 04 Physicist, mathematician and engineering science professionals 05 Life science and health professionals 06 Teaching professionals 07 Other professionals 08 Physical and engineering science associate professionals 09 Life science and health associate professionals 10 Teaching associate professionals 11 Other associate professionals 12 Office clerks 13 Customer services clerks 14 Personal and protective services workers 15 Models, salespersons and demonstrators 16 Skilled agricultural and fishery workers 17 Extraction and building trades workers 18 Metal, machinery and related trades workers 19 Precision, handicraft, printer and related trades workers 20 Other craft and related trades workers 21 Stationary plant and related operators 22 Machine operators and assemblers 23 Drivers and mobile plant operators 24 Sales and services elementary occupation 25 Agricultural, fishery and related labor 26 Laborers in mining, construction, manufacturing and transportation 27 Armed forces 28 Looking for a job for the first time 99 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation of supporter: ISCO major groups <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation (you are currently in): ____ <div class="i1">e.g. "bookkeeper" or "shoe salesperson" not "commercial employee"; "video equipment assembler" not unskilled worker; "clerical worker", "tax calculator at revenue authority", "street cleaner" -- not civil servant; "pc administrator", "film developer", "operations scheduler" not "technical employee".</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation: Explanation: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). Examples of precise work designations: Accounts clerk, Men's shirts packing machinist, Glass cutter, Foreman at dipping paint plant, Manager of retail shop, High voltage line installer, Planing machine operator, Scientific researcher in environmental protection. This information should be classified into around 400 different occupational categories. For that reason, please make sure that the information is as precise as possible. For a generally held entry (e.g. office worker), an exact classification is not possible because one does not know if the person as should be entered as an authorized officer, bookkeeper, shorthand typist, paper sorter etc. The entries for this question should be coded with automation-support - with the help of systematic directories. <div class="i1">With this question the field of activity that a person in a company supervises is depicted. The population census is one of the most important, comprehensive data sources for analyses of occupational distribution. It makes possible the depiction of occupations in combination with other characteristics, for example: education, place of residence and place of work of the gainfully employed. The occupation practiced in comparison with the education completed is of importance for the predictions of the "replacement demand" or for the guidance of youth educational paths. Need calculations for individual occupational groups and occupations are also among the analyses, which make activities for labor market advancement and directed occupational counseling possible. In addition, information about career change is gained, due to the connection between learned and practiced occupation.</div> </svar> Austria 2001: Persons whose supporters are economically active [discrepancies: none] This variable indicates the ISCO occupation major group of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 01 Legislators, senior officials and manager 02 Professionals 03 Technicians and associate professionals 04 Office and commercial employees 05 Service workers, shop and market sales workers 06 Skilled agricultural and fishery workers 07 Craft and related trades workers 08 Plant and machine operators and assembler 09 Elementary occupations 10 Armed forces 11 Looking for a job for the first time 99 NIU (not in universe) Work: Occupation Variables -- PERSON Occupation of supporter: sub-major groups <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation (you are currently in): ____ <div class="i1">e.g. "bookkeeper" or "shoe salesperson" not "commercial employee"; "video equipment assembler" not unskilled worker; "clerical worker", "tax calculator at revenue authority", "street cleaner" -- not civil servant; "pc administrator", "film developer", "operations scheduler" not "technical employee".</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation: Explanation: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). Examples of precise work designations: Accounts clerk, Men's shirts packing machinist, Glass cutter, Foreman at dipping paint plant, Manager of retail shop, High voltage line installer, Planing machine operator, Scientific researcher in environmental protection. This information should be classified into around 400 different occupational categories. For that reason, please make sure that the information is as precise as possible. For a generally held entry (e.g. office worker), an exact classification is not possible because one does not know if the person as should be entered as an authorized officer, bookkeeper, shorthand typist, paper sorter etc. The entries for this question should be coded with automation-support - with the help of systematic directories. <div class="i1">With this question the field of activity that a person in a company supervises is depicted. The population census is one of the most important, comprehensive data sources for analyses of occupational distribution. It makes possible the depiction of occupations in combination with other characteristics, for example: education, place of residence and place of work of the gainfully employed. The occupation practiced in comparison with the education completed is of importance for the predictions of the "replacement demand" or for the guidance of youth educational paths. Need calculations for individual occupational groups and occupations are also among the analyses, which make activities for labor market advancement and directed occupational counseling possible. In addition, information about career change is gained, due to the connection between learned and practiced occupation.</div> </svar> Austria 2001: All persons This variable indicates the occupation of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 01 Engineering science and natural science professionals 02 Health professionals and technicians 03 Teachers, educators 04 Legal professionals, human and social scientists 05 Religious professionals, social workers 06 Artists, journalists and sportspersons 07 Managers in administration, industry and finance 08 Office and financial clerks 09 Administrative clerks 10 Bookkeepers, cashiers and related workers 11 Other clerical workers 12 Computer equipment operators, data entry operators 13 Managers (wholesale and retail), advertising salespersons 14 Merchants, salespersons 15 Hotel and restaurant managers 16 Waiters, cooks 17 Other restaurant and hotel service workers, housekeepers 18 Cleaners 19 Hairdressers, beauticians and related workers 20 Health service workers 21 Protective service workers, armed forces 22 Other service workers 23 Transport supervisors 24 Postal service workers, messengers 25 Transport conductors 26 Vehicle drivers 27 Transport service auxiliary personnel 28 Freight handlers, warehouse workers 29 Crane and construction machinery and related operators 30 Machine operators, firepersons 31 Agricultural occupations 32 Forestry occupations 33 Miners, quarrymen and related workers 34 Potters, glassmakers, stonemasons and related workers 35 Metal processors 36 Metalworking occupations 37 Metal trade laborers 38 Wood preparation workers, papermakers 39 Chemical processors, leather manufacturers 40 Textile production and finishing workers 41 Bricklayers, plasterers, scaffolders 42 Carpenters 43 Painters, varnishers 44 Glaziers, roofers, floor layers and related workers 45 Civil engineering workers 46 Construction laborers 47 Food and beverage processors 48 Tailors, dressmakers, sewers and related workers 49 Furriers, leather goods makers 50 Joiners and related woodworkers 51 Rubber, plastics and paper products makers 52 Printers and related workers 53 Jewelers, precision instrument makers and related workers 54 Locksmiths (fitters), mechanics and related workers 55 Plumbers and pipe installation workers 56 Electrical workers 57 Laborers without further details, workers without further details 58 Retired persons 59 Other income recipients Work: Occupation Variables -- PERSON Occupation of supporter: major groups <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation (you are currently in): ____ <div class="i1">e.g. "bookkeeper" or "shoe salesperson" not "commercial employee"; "video equipment assembler" not unskilled worker; "clerical worker", "tax calculator at revenue authority", "street cleaner" -- not civil servant; "pc administrator", "film developer", "operations scheduler" not "technical employee".</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432" a="all">13. Exact designation of occupation: Explanation: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). Examples of precise work designations: Accounts clerk, Men's shirts packing machinist, Glass cutter, Foreman at dipping paint plant, Manager of retail shop, High voltage line installer, Planing machine operator, Scientific researcher in environmental protection. This information should be classified into around 400 different occupational categories. For that reason, please make sure that the information is as precise as possible. For a generally held entry (e.g. office worker), an exact classification is not possible because one does not know if the person as should be entered as an authorized officer, bookkeeper, shorthand typist, paper sorter etc. The entries for this question should be coded with automation-support - with the help of systematic directories. <div class="i1">With this question the field of activity that a person in a company supervises is depicted. The population census is one of the most important, comprehensive data sources for analyses of occupational distribution. It makes possible the depiction of occupations in combination with other characteristics, for example: education, place of residence and place of work of the gainfully employed. The occupation practiced in comparison with the education completed is of importance for the predictions of the "replacement demand" or for the guidance of youth educational paths. Need calculations for individual occupational groups and occupations are also among the analyses, which make activities for labor market advancement and directed occupational counseling possible. In addition, information about career change is gained, due to the connection between learned and practiced occupation.</div> </svar> Austria 2001: Persons whose supporters are economically active [discrepancies: none] This variable indicates the major occupation group of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 01 Professionals, technicians and related, managers 02 Clerical occupations 03 Wholesale and retail trade occupations 04 Service occupations, armed forces 05 Transport occupations, machine operators 06 Agricultural and forestry occupations 07 Basic industry workers 08 Construction and related trades workers 09 Product manufacturing workers 10 Laborers without further details 99 NIU (not in universe) Work: Occupation Variables -- PERSON Economic activity of supporter: ONACE group <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Your place of work: <div class="i1">14.1 Name: ____ Examples: Max Mustermann, Hauptschule Kirchdorf, Austrian Federal Railways Train station in Telfs 14.2 Industry (branch of economic activity): ____ Examples: Retail food sales, education, rail transport</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Place of work: Please indicate as precisely as possible the name of the business/establishment at which you work for in item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Attendants in public service should indicate the name of their agency as precisely as possible in 14.1, yet in 14.2 give an indication of the public service. For example: <div class="i1">14.1 Tax office Bregenz, 14.2 federal administration 14.1 Constabulary post Lienz, 14.2 public security 14.1 Registration office Hallein, 14.2 municipality administration 14.1 Austrian insurance fund for civil or public servants Graz, 14.2 social insurance</div> [p. 95] The entries for this question should - provided that automation-support with the telephone number was not possible - be automation-supported coded with the help of systematic listings. For a generally held entry (e.g. "metal industry"), one can not discern if a steel mill or a motor factory, a blacksmith or a hardware store is concerned. Information as precise as possible is requested. <div class="i1">The name of the company serves - together with the address and telephone number in question 15.4 - as aid characteristic for the assignment of gainfully employed persons in economic branches and as the goal of the path to work. The economic segmentation of the gainfully employed forms, with the characteristics of age and gender, the basis for structural analyses and the projection of the development possibilities of regional and national labor markets. In connection with the economic sector, the industry dependence of individual occupations can be made transparent. Further, the portion of the entire population that is affected by a shrinking or rising economic sector, can be indicated. The population census provides (with the help of commuter statistics) information about the economic structure of individual location areas, beyond an individual survey, as well as residence-oriented data about the branches in which the employees are active also, for example the dependence of certain regions on the outlying firms.</div> </svar> Austria 2001: Persons whose supporters are economically active [discrepancies: none] This variable indicates the economic activity (ÖNACE group) of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 001 Growing of crops, market gardening 002 Farming of animals 003 Mixed farming 004 Agriculture and animal husbandry service activities 006 Forestry and logging 009 Mining and agglomeration of lignite 011 Extraction of crude petroleum and natural gas 014 Mining of iron ores 016 Quarrying of stone 017 Quarrying of sand and clay 019 Production of salt 020 Other mining and quarrying without further details 021 Production and processing of meat 023 Processing and preserving of fruit and vegetables 024 Manufacture of vegetable and animal oils and fats 025 Manufacture of dairy products 026 Manufacture of grain mill and starch mill products 027 Manufacture of prepared animal feeds 028 Manufacture of other food products 029 Manufacture of beverages 030 Manufacture of tobacco products 031 Preparation and spinning of textile fibers 032 Textile weaving 033 Finishing of textiles 034 Manufacture of made-up textile articles 035 Manufacture of other textiles 036 Manufacture of knitted and crocheted fabrics 037 Manufacture of knitted and crocheted articles 039 Manufacture of other wearing apparel 040 Manufacture of fur and articles thereof 041 Tanning and dressing of leather 042 Manufacture of luggage, saddlery and harness 043 Manufacture of footwear 044 Sawmilling and planing of wood 045 Manufacture of veneer sheets, boards, etc. 046 Manufacture of builders' carpentry and joinery 047 Manufacture of wooden containers 048 Manufacture of other products of wood 049 Manufacture of pulp, paper and paperboard 050 Manufacture of paper and paperboard products 051 Publishing 052 Printing and related service activities 053 Reproduction of recorded media 054 Manufacture of coke oven products 055 Manufacture of refined petroleum products 057 Manufacture of basic chemicals 058 Manufacture of pesticides 059 Manufacture of paints, varnishes, printing ink 060 Manufacture of pharmaceutical products 061 Manufacture of soap, detergents, etc. 062 Manufacture of other chemical products 063 Manufacture of man-made fibers 064 Manufacture of rubber products 065 Manufacture of plastic products 066 Manufacture of glass and glass products 067 Manufacture of ceramic goods 069 Manufacture of bricks, etc. in baked clay 070 Manufacture of cement, lime and plaster 071 Manufacture of other articles of concrete, plaster and cement 072 Cutting, shaping and finishing of stone 073 Manufacture of other nonmetallic mineral products 074 Manufacture of basic iron and steel 075 Manufacture of tubes 076 Other first processing of iron and steel 077 Manufacture of precious and non-ferrous metal products 078 Casting of metals 079 Manufacture of structural metal products 080 Manufacture of tanks, etc. of metal 081 Manufacture of steam generators 082 Forging, pressing, etc. of metal 083 Treatment and coating of metals 084 Manufacture of cutlery, tools and general hardware 085 Manufacture of other fabricated metal products 086 Manufacture of machinery for production of mechanical power 087 Manufacture of other general purpose machinery 088 Manufacture of agriculture and forestry machinery 089 Manufacture of machine tools 090 Manufacture of other special purpose machinery 091 Manufacture of weapons and ammunition 092 Manufacture of domestic appliances without further details 093 Manufacture of office machinery and computers 094 Manufacture of electric motors, etc. 095 Manufacture of electric distribution and control equipment 096 Manufacture of insulated wire and cable 097 Manufacture of accumulators and batteries 098 Manufacture of lighting equipment 099 Manufacture of electrical equipment without further details 100 Manufacture of electronic valves and tubes 101 Manufacture of communication equipment 102 Manufacture of television and radio equipment 103 Manufacture of medical and surgical equipment 104 Manufacture of instruments for measuring etc. 105 Manufacture of industrial process control equipment 106 Manufacture of optical and photographic equipment 107 Manufacture of watches and clocks 108 Manufacture of motor vehicles 109 Manufacture of bodies and trailers 110 Manufacture of parts for motor vehicles 111 Building and repairing of ships and boats 112 Manufacture of railway and tramway vehicles 113 Manufacture of aircraft and spacecraft 114 Manufacture of motorcycles and bicycles 116 Manufacture of furniture 117 Manufacture of jewelry and related articles 118 Manufacture of musical instruments 119 Manufacture of sporting goods 120 Manufacture of games and toys 121 Miscellaneous manufacturing without further details 122 Recycling of metal waste and scrap 123 Recycling of nonmetal waste and scrap 124 Production and distribution of electricity 125 Manufacture of gas 126 Steam and hot water supply 127 Collection, purification and distribution of water 128 Site preparation 129 Building of complete constructions 130 Building installation 131 Building completion 132 Renting of construction equipment with operator 133 Sale of motor vehicles 134 Maintenance and repair of motor vehicles 135 Sale of motor vehicles parts 136 Sale, maintenance and repair of motorcycles 137 Retail sale of automotive fuel 138 Wholesale on a fee or contract basis 139 Wholesale of agriculture materials and live animals 140 Wholesale of food, beverages and tobacco 141 Wholesale of household goods 142 Wholesale of intermediate products 143 Wholesale of machine, equipment and supplies 144 Other wholesale 145 Retail sale in non-specialized stores 146 Retail sale of food, beverages in specialty stores 147 Retail sale of pharmaceutical goods, cosmetic articles 148 Other retail sale of new goods in specialty stores 149 Retail sale of secondhand goods in stores 150 Retail sale not in stores 151 Repair of personal and household goods 152 Hotels 153 Camping sites etc. 154 Restaurants 155 Bars 156 Canteens and catering 157 Transport via railways 158 Other land transport 161 Inland water transport 162 Scheduled air transport 163 Non-scheduled air transport 165 Cargo handling and storage 166 Other supporting transport activities 167 Travel agencies and tour operators 168 Activities of other transport agencies 169 Post and courier activities 170 Telecommunications 171 Monetary intermediation 172 Other financial intermediation 173 Insurance and pension funding 174 Activities auxiliary to financial intermediation 175 Activities auxiliary to insurance and pension funding 176 Real estate activities with own property 177 Renting of own property 178 Real estate activities on a fee or contract basis 179 Renting of automobiles 180 Renting of other transport equipment 181 Renting of other machinery and equipment 182 Renting of personal and household goods without further details 183 Hardware consultancy 184 Software consultancy and supply 185 Data processing 186 Data base activities 187 Repair of office and computing machinery 188 Other computer related activities 189 Research and development on natural sciences and engineering 190 Research and development on social sciences and humanities 191 Legal, accounting, business consultancy activities 192 Architectural and engineering activities 193 Technical testing and analysis 194 Advertising 195 Labor recruitment and provision of personnel 196 Investigation and security activities 197 Industrial cleaning 198 Miscellaneous business activities without further details 199 Administration of the state and community 200 Provision of services to the community 201 Compulsory social security activities 202 Primary education 203 Secondary education 204 Higher education 205 Adult and other education 206 Human health activities 207 Veterinary activities 208 Social work activities 209 Sewage and refuse disposal, sanitation activities 210 Activities of business, professional organizations 211 Activities of employees organizations 212 Activities of other membership organizations 213 Motion picture and video activities 214 Radio and television activities 215 Other entertainment activities 216 News agency activities 217 Library, archives, museums, etc. 218 Sporting activities 219 Other recreational activities 220 Other service activities 221 Private households with employed persons 222 Extraterritorial organizations a bodies 223 Looking for a job for the first time 990 Response suppressed 999 NIU (not in universe) Work: Industry Variables -- PERSON Economic activity of supporter: ONACE major group <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Your place of work: <div class="i1">14.1 Name: ____ Examples: Max Mustermann, Hauptschule Kirchdorf, Austrian Federal Railways Train station in Telfs 14.2 Industry (branch of economic activity): ____ Examples: Retail food sales, education, rail transport</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Place of work: Please indicate as precisely as possible the name of the business/establishment at which you work for in item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Attendants in public service should indicate the name of their agency as precisely as possible in 14.1, yet in 14.2 give an indication of the public service. For example: <div class="i1">14.1 Tax office Bregenz, 14.2 federal administration 14.1 Constabulary post Lienz, 14.2 public security 14.1 Registration office Hallein, 14.2 municipality administration 14.1 Austrian insurance fund for civil or public servants Graz, 14.2 social insurance</div> [p. 95] The entries for this question should - provided that automation-support with the telephone number was not possible - be automation-supported coded with the help of systematic listings. For a generally held entry (e.g. "metal industry"), one can not discern if a steel mill or a motor factory, a blacksmith or a hardware store is concerned. Information as precise as possible is requested. <div class="i1">The name of the company serves - together with the address and telephone number in question 15.4 - as aid characteristic for the assignment of gainfully employed persons in economic branches and as the goal of the path to work. The economic segmentation of the gainfully employed forms, with the characteristics of age and gender, the basis for structural analyses and the projection of the development possibilities of regional and national labor markets. In connection with the economic sector, the industry dependence of individual occupations can be made transparent. Further, the portion of the entire population that is affected by a shrinking or rising economic sector, can be indicated. The population census provides (with the help of commuter statistics) information about the economic structure of individual location areas, beyond an individual survey, as well as residence-oriented data about the branches in which the employees are active also, for example the dependence of certain regions on the outlying firms.</div> </svar> Austria 2001: Persons whose supporters are economically active [discrepancies: none] This variable indicates the industry (ÖNACE major group) of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 01 Agriculture 02 Forestry and logging 04 Mining of coal and lignite 05 Extraction of crude petroleum and natural gas 06 Mining of uranium and thorium ores 07 Mining of metal ores 08 Other mining and quarrying without further details 09 Manufacture of food products and beverages 10 Manufacture of tobacco products 11 Manufacture of textiles 12 Manufacture of wearing apparel 13 Manufacture of leather, leather products, footwear 14 Manufacture of wood and of products of wood 15 Manufacture of paper and paper products 16 Publishing, printing and reproduction 17 Manufacture of coke, refined petroleum products 18 Manufacture of chemicals and chemical products 19 Manufacture of rubber and plastic products 20 Manufacture of other nonmetallic mineral products 21 Manufacture of basic metals 22 Manufacture of fabricated metal products 23 Manufacture of machinery and equipment without further details 24 Manufacture of office machinery and computers 25 Manufacture of electricity machines and appliances without further details 26 Manufacture of radio, television equipment 27 Manufacture of medical, precision, optical instruments 28 Manufacture of motor vehicles and trailers 29 Manufacture of other transport equipment 30 Manufacture of furniture; manufacturing without further details 31 Recycling 32 Electricity, gas, steam and hot water supply 33 Collection, purification and distribution of water 34 Construction 35 Sale and repair of motor vehicles 36 Wholesale and commission trade 37 Retail trade, repair of household goods 38 Hotels and restaurants 39 Land transport via pipelines 40 Water transport 41 Air transport 42 Auxiliary and part time activities for traffic, travel agencies 43 Post and telecommunications 44 Financial intermediation 45 Insurance and pension funding 46 Activities auxiliary to financial intermediation 47 Real estate activities 48 Renting of machinery and equipment without operator 49 Computer and related activities 50 Research and development 51 Other business activities 52 Public administration 53 Education 54 Health and social work 55 Sewage and refuse disposal, sanitation activities 56 Activities of membership organizations without further details 57 Recreational, cultural and sporting activities 58 Other service activities 59 Private households with employed persons 60 Extraterritorial organizations 61 Looking for a job for the first time 98 Response suppressed 99 NIU (not in universe) Work: Industry Variables -- PERSON Economic activity of supporter: ONACE section <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Your place of work: <div class="i1">14.1 Name: ____ Examples: Max Mustermann, Hauptschule Kirchdorf, Austrian Federal Railways Train station in Telfs 14.2 Industry (branch of economic activity): ____ Examples: Retail food sales, education, rail transport</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Place of work: Please indicate as precisely as possible the name of the business/establishment at which you work for in item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Attendants in public service should indicate the name of their agency as precisely as possible in 14.1, yet in 14.2 give an indication of the public service. For example: <div class="i1">14.1 Tax office Bregenz, 14.2 federal administration 14.1 Constabulary post Lienz, 14.2 public security 14.1 Registration office Hallein, 14.2 municipality administration 14.1 Austrian insurance fund for civil or public servants Graz, 14.2 social insurance</div> [p. 95] The entries for this question should - provided that automation-support with the telephone number was not possible - be automation-supported coded with the help of systematic listings. For a generally held entry (e.g. "metal industry"), one can not discern if a steel mill or a motor factory, a blacksmith or a hardware store is concerned. Information as precise as possible is requested. <div class="i1">The name of the company serves - together with the address and telephone number in question 15.4 - as aid characteristic for the assignment of gainfully employed persons in economic branches and as the goal of the path to work. The economic segmentation of the gainfully employed forms, with the characteristics of age and gender, the basis for structural analyses and the projection of the development possibilities of regional and national labor markets. In connection with the economic sector, the industry dependence of individual occupations can be made transparent. Further, the portion of the entire population that is affected by a shrinking or rising economic sector, can be indicated. The population census provides (with the help of commuter statistics) information about the economic structure of individual location areas, beyond an individual survey, as well as residence-oriented data about the branches in which the employees are active also, for example the dependence of certain regions on the outlying firms.</div> </svar> Austria 2001: Persons whose supporters are economically active [discrepancies: none] This variable indicates the industry (ÖNACE section) of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 01 Agriculture and forestry 03 Mining and quarrying 04 Manufacturing 05 Electricity, gas and water supply 06 Construction 07 Trade, repair of motor vehicles and consumer goods 08 Hotels and restaurants 09 Transport, storage and communication 10 Financial intermediation 11 Real estate, renting and business activities 12 Public administration and defense, social security 13 Education 14 Health and social work 15 Other community, social and personal service activities 16 Private households with employed persons 17 Extraterritorial organizations and bodies 18 Looking for a job for the first time 98 Response suppressed 99 NIU (not in universe) Work: Industry Variables -- PERSON Economic activity of supporter: sector <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Your place of work: <div class="i1">14.1 Name: ____ Examples: Max Mustermann, Hauptschule Kirchdorf, Austrian Federal Railways Train station in Telfs 14.2 Industry (branch of economic activity): ____ Examples: Retail food sales, education, rail transport</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Place of work: Please indicate as precisely as possible the name of the business/establishment at which you work for in item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Attendants in public service should indicate the name of their agency as precisely as possible in 14.1, yet in 14.2 give an indication of the public service. For example: <div class="i1">14.1 Tax office Bregenz, 14.2 federal administration 14.1 Constabulary post Lienz, 14.2 public security 14.1 Registration office Hallein, 14.2 municipality administration 14.1 Austrian insurance fund for civil or public servants Graz, 14.2 social insurance</div> [p. 95] The entries for this question should - provided that automation-support with the telephone number was not possible - be automation-supported coded with the help of systematic listings. For a generally held entry (e.g. "metal industry"), one can not discern if a steel mill or a motor factory, a blacksmith or a hardware store is concerned. Information as precise as possible is requested. <div class="i1">The name of the company serves - together with the address and telephone number in question 15.4 - as aid characteristic for the assignment of gainfully employed persons in economic branches and as the goal of the path to work. The economic segmentation of the gainfully employed forms, with the characteristics of age and gender, the basis for structural analyses and the projection of the development possibilities of regional and national labor markets. In connection with the economic sector, the industry dependence of individual occupations can be made transparent. Further, the portion of the entire population that is affected by a shrinking or rising economic sector, can be indicated. The population census provides (with the help of commuter statistics) information about the economic structure of individual location areas, beyond an individual survey, as well as residence-oriented data about the branches in which the employees are active also, for example the dependence of certain regions on the outlying firms.</div> </svar> Austria 2001: Persons whose supporters are economically active [discrepancies: none] This variable indicates the economic activity sector of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 1 Agriculture and forestry 2 Manufacturing, construction 3 Service activities 4 Looking for a job for the first time 9 NIU (not in universe) Work: Industry Variables -- PERSON Economic activity of supporter: branch <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Your place of work: <div class="i1">14.1 Name: ____ Examples: Max Mustermann, Hauptschule Kirchdorf, Austrian Federal Railways Train station in Telfs 14.2 Industry (branch of economic activity): ____ Examples: Retail food sales, education, rail transport</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Place of work: Please indicate as precisely as possible the name of the business/establishment at which you work for in item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Attendants in public service should indicate the name of their agency as precisely as possible in 14.1, yet in 14.2 give an indication of the public service. For example: <div class="i1">14.1 Tax office Bregenz, 14.2 federal administration 14.1 Constabulary post Lienz, 14.2 public security 14.1 Registration office Hallein, 14.2 municipality administration 14.1 Austrian insurance fund for civil or public servants Graz, 14.2 social insurance</div> [p. 95] The entries for this question should - provided that automation-support with the telephone number was not possible - be automation-supported coded with the help of systematic listings. For a generally held entry (e.g. "metal industry"), one can not discern if a steel mill or a motor factory, a blacksmith or a hardware store is concerned. Information as precise as possible is requested. <div class="i1">The name of the company serves - together with the address and telephone number in question 15.4 - as aid characteristic for the assignment of gainfully employed persons in economic branches and as the goal of the path to work. The economic segmentation of the gainfully employed forms, with the characteristics of age and gender, the basis for structural analyses and the projection of the development possibilities of regional and national labor markets. In connection with the economic sector, the industry dependence of individual occupations can be made transparent. Further, the portion of the entire population that is affected by a shrinking or rising economic sector, can be indicated. The population census provides (with the help of commuter statistics) information about the economic structure of individual location areas, beyond an individual survey, as well as residence-oriented data about the branches in which the employees are active also, for example the dependence of certain regions on the outlying firms.</div> </svar> Austria 2001: All persons This variable indicates the industry of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 01 Agriculture and fishing 02 Forestry and hunting 03 Electricity, gas and water supply 04 Mining of coal 05 Mining of metal ores 06 Extraction of crude petroleum and natural gas 07 Production of salt 08 Mining of magnesium 09 Extraction of other minerals and peat 10 Quarrying of stone, sand and clay 11 Manufacture of food products 12 Manufacture of beverages and tobacco products 13 Textile weaving and spinning 14 Manufacture of knitted fabrics 15 Finishing of textiles, textile printing 16 Manufacture of linen and bedclothes 17 Manufacture of apparel 18 Manufacture of other textile products 19 Manufacture of footwear 20 Manufacture of leather, leather products, and imitation materials 21 Manufacture of wood and wooden boards 22 Manufacture of wood products 23 Manufacture of musical instruments, toys and sports articles 24 Manufacture of paper and paperboard 25 Manufacture of paper products, bookbinding 26 Printing 27 Publishing 28 Manufacture of rubber and plastic products 29 Manufacture of chemicals and chemical products 30 Manufacture of refined petroleum, gas and coke products 31 Manufacture of non-metal mineral products, bricks 32 Manufacture of stone and ceramic products, concrete 33 Manufacture of glass and glass products 34 Manufacture of basic metals and semi-finished products 35 Manufacture of metal products and steel constructions 36 Manufacture of machinery and equipment 37 Manufacture of electrical equipment 38 Manufacture of transport equipment 39 Manufacture of precision, medical, optical instruments and watches 40 Building construction and civil engineering 41 Building completion and other construction work 42 Carpentry 43 Activities of sheet metal working 44 Building installation 45 Wholesale trade 46 Retail trade 47 Storage and warehousing 48 Hotels and restaurants 49 Land transport 50 Freight transport by road 51 Transport via railways 52 Water transport 53 Air transport 54 Transport via pipeline, travel agencies 55 Forwarding agency 56 Post and telecommunications 57 Financial intermediation 58 Insurance 59 Real estate and business activities 60 Engineering activities and related technical consultancy 61 Photographic activities 62 Hairdressing and other beauty treatment 63 Cleaning activities 64 Chimney cleaning 65 Funeral and related activities 66 Cultural, recreational and sporting activities 67 Health and social work 68 Education, research and development 69 Public administration 70 Extraterritorial organizations and bodies 71 Compulsory social security 72 Public legal membership organizations (chambers) 73 Voluntary membership organizations 74 Religious organizations 75 Housekeeping 76 Building caretaking 77 Unknown industrial branch 78 Retired person 79 Other income recipient Work: Industry Variables -- PERSON Economic activity of supporter: division <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">[Questions 12 - 15 were asked of persons gainfully employed] </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Your place of work: <div class="i1">14.1 Name: ____ Examples: Max Mustermann, Hauptschule Kirchdorf, Austrian Federal Railways Train station in Telfs 14.2 Industry (branch of economic activity): ____ Examples: Retail food sales, education, rail transport</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439">Questions 12 through 15: Explanation: Persons who marked one of the three "gainfully employed" boxes in question 11 must answer questions 12 to 15 in any case for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions 12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. <div class="i1">The population census results by occupational and economic characteristics are of great importance for the planning administration, the economy, research and the representation of interests, because they present a cross section of the total of all gainfully employed persons. Other surveys (like e.g. local unit of employment census) or the social insurance institutes also provide information in this field, but not with the diversity, objectivity, and regional structural and combination possibilities of the population census.</div> </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439" a="all">14. Place of work: Please indicate as precisely as possible the name of the business/establishment at which you work for in item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Attendants in public service should indicate the name of their agency as precisely as possible in 14.1, yet in 14.2 give an indication of the public service. For example: <div class="i1">14.1 Tax office Bregenz, 14.2 federal administration 14.1 Constabulary post Lienz, 14.2 public security 14.1 Registration office Hallein, 14.2 municipality administration 14.1 Austrian insurance fund for civil or public servants Graz, 14.2 social insurance</div> [p. 95] The entries for this question should - provided that automation-support with the telephone number was not possible - be automation-supported coded with the help of systematic listings. For a generally held entry (e.g. "metal industry"), one can not discern if a steel mill or a motor factory, a blacksmith or a hardware store is concerned. Information as precise as possible is requested. <div class="i1">The name of the company serves - together with the address and telephone number in question 15.4 - as aid characteristic for the assignment of gainfully employed persons in economic branches and as the goal of the path to work. The economic segmentation of the gainfully employed forms, with the characteristics of age and gender, the basis for structural analyses and the projection of the development possibilities of regional and national labor markets. In connection with the economic sector, the industry dependence of individual occupations can be made transparent. Further, the portion of the entire population that is affected by a shrinking or rising economic sector, can be indicated. The population census provides (with the help of commuter statistics) information about the economic structure of individual location areas, beyond an individual survey, as well as residence-oriented data about the branches in which the employees are active also, for example the dependence of certain regions on the outlying firms.</div> </svar> Austria 2001: All persons This variable indicates the industry of the person or the person's "supporter." The variable reports the actual status for people who were economically active. Economically inactive children reported the status of the household head or working parent, if the head did not work. Other household members reported they were inactive if they were retired or self-supporting non-workers; otherwise they reported the status of the household head. 01 Agriculture and forestry 02 Electricity, gas and water supply 03 Mining and quarrying 04 Manufacturing 05 Construction 06 Wholesale and retail trade, storage 07 Hotels and restaurants 08 Transport, communication 09 Financial intermediation, insurance, business activities 10 Personal, social and public services, housekeeping 11 Unknown industrial branch 12 Retired person Work: Industry Variables -- PERSON Region of place of work or school enrollment (NUTS3) For gainfully employed persons, pupils, university students, persons on compulsory military service and conscientious objectors doing non-military service: Please turn to the next page and answer question 15. In item 15.4 you will also be asked to enter the address of your place of work or of your school and you could help save us tremendous sums in processing the forms by also indicating the phone number. Thank you very much! 15. Way of getting to place of work or school/university (traffic flows): <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444" a="AT01A440 AT01A441"><div class="i1">15.4 Address of your place of work/school (destination of your daily trip to work/school):</div> <div class="i2">____ Street (locality) ____ Building number ____ Name of municipality ____ Country ____ Postal code ____ Area code ____ Phone number (without extension): The phone number is not used for follow-up inquiries. It is only to be indicated for places of work/for schools within Austria and helps us to process the precise destinations of traffic flows quickly and cost effectively using electronic data processing.</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447" a="all">15. Way of getting to place of work or school/university (traffic flows): The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go to both school and to work, you should answer the questions for going to work. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444" a="AT01A440 AT01A441">Re 15.4: Explanation: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the company management that is to be entered rather for example: for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with varying places of work (e.g. traveling salesmen) are asked to enter the address of the place of work where they receive their work assignment if required. Persons with varying places of work (e.g. service technicians, construction workers, traveling salesmen) enter the address for the place of work from which they receive their work assignments, customer lists, and the like. Students enter the address of the university building in which they attend the most lectures or lessons. Persons drafted into compulsory military service enter the address of the barrack, civil servants enter the address of the office where they perform their civil service. If the place of work or school is located abroad, the country abbreviation should be given before the zip code (e.g. "CH" for Switzerland). </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Re question 15: <div class="i1">The depiction of the relationship between residence and place of work/school takes place in the frame of the commuter statistics. Only a complete survey like the population census can present the small-scale traffic flows. Also the simultaneous presentation of the educational, occupational and economic structure of the gainfully employed by residence and place of work forms a unique basis for regional economic analysis. The information on means of transportation and transit time are used in the depiction of traffic flows and have become indispensable components of commuter statistics. The data are needed for the depiction of the job market integration between the municipalities and regions as well as for planning in public sector und in the economy (housing unit construction, company establishment, time table planning). This information is particularly significant for traffic planning. Large amounts were and are invested, in order to provide the necessary infrastructure (highways, public transportation). Dependable information on the assessment of the current and future need is essential because of ever decreasing financial margins of the public authorities, but also because of the environmental burden. The frequent use of the commuter data of the population census appears in the statistics request of the ISIS-data base of Statistics Austria. The commuter flow chart is among the most requested population census data.</div> </svar> Austria 2001: Persons who either work or attend school [discrepancies: type I 1.4%; type II none] This variable indicates the region where the person works or goes to school (NUTS3). 01 Mittelburgenland and Südburgenland 02 Nordburgenland 04 Mostviertel-Eisenwurzen 05 Niederösterreich-Süd 06 Sankt Pölten 07 Waldviertel 08 Weinviertel 09 Wiener Umland-Nordteil 10 Wiener Umland-Südteil 11 Wien 12 Klagenfurt-Villach 13 Oberkärnten 14 Unterkärnten 15 Graz 16 Liezen 17 Östliche Obersteiermark 18 Oststeiermark 19 West- und Südsteiermark 20 Westliche Obersteiermark 21 Innviertel 22 Linz-Wels 23 Mühlviertel 24 Steyr-Kirchdorf 25 Traunviertel 26 Lungau and Pinzgau-Pongau 28 Salzburg und Umgebung 29 Außerfern and Tiroler Oberland 30 Innsbruck 31 Osttirol and Tiroler Unterland 34 Bludenz-Bregenzer Wald 35 Rheintal-Bodenseegebiet 36 Foreign country 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Country of place of work or school enrollment For gainfully employed persons, pupils, university students, persons on compulsory military service and conscientious objectors doing non-military service: Please turn to the next page and answer question 15. In item 15.4 you will also be asked to enter the address of your place of work or of your school and you could help save us tremendous sums in processing the forms by also indicating the phone number. Thank you very much! 15. Way of getting to place of work or school/university (traffic flows): <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444" a="AT01A440 AT01A441"><div class="i1">15.4 Address of your place of work/school (destination of your daily trip to work/school):</div> <div class="i2">____ Street (locality) ____ Building number ____ Name of municipality ____ Country ____ Postal code ____ Area code ____ Phone number (without extension): The phone number is not used for follow-up inquiries. It is only to be indicated for places of work/for schools within Austria and helps us to process the precise destinations of traffic flows quickly and cost effectively using electronic data processing.</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447" a="all">15. Way of getting to place of work or school/university (traffic flows): The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go to both school and to work, you should answer the questions for going to work. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444" a="AT01A440 AT01A441">Re 15.4: Explanation: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the company management that is to be entered rather for example: for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with varying places of work (e.g. traveling salesmen) are asked to enter the address of the place of work where they receive their work assignment if required. Persons with varying places of work (e.g. service technicians, construction workers, traveling salesmen) enter the address for the place of work from which they receive their work assignments, customer lists, and the like. Students enter the address of the university building in which they attend the most lectures or lessons. Persons drafted into compulsory military service enter the address of the barrack, civil servants enter the address of the office where they perform their civil service. If the place of work or school is located abroad, the country abbreviation should be given before the zip code (e.g. "CH" for Switzerland). </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Re question 15: <div class="i1">The depiction of the relationship between residence and place of work/school takes place in the frame of the commuter statistics. Only a complete survey like the population census can present the small-scale traffic flows. Also the simultaneous presentation of the educational, occupational and economic structure of the gainfully employed by residence and place of work forms a unique basis for regional economic analysis. The information on means of transportation and transit time are used in the depiction of traffic flows and have become indispensable components of commuter statistics. The data are needed for the depiction of the job market integration between the municipalities and regions as well as for planning in public sector und in the economy (housing unit construction, company establishment, time table planning). This information is particularly significant for traffic planning. Large amounts were and are invested, in order to provide the necessary infrastructure (highways, public transportation). Dependable information on the assessment of the current and future need is essential because of ever decreasing financial margins of the public authorities, but also because of the environmental burden. The frequent use of the commuter data of the population census appears in the statistics request of the ISIS-data base of Statistics Austria. The commuter flow chart is among the most requested population census data.</div> </svar> Austria 2001: Persons who either work or attend school [discrepancies: type I 1.4%; type II none] This variable indicates the country of work or school enrollment. 01 Austria 02 Belgium 04 Germany 06 France 09 Italy 11 Netherlands 14 Spain 15 United Kingdom 17 Liechtenstein 19 Switzerland 28 Yugoslavia (Serbia, Montenegro) 33 Poland 37 Czech Republic 38 Hungary 43 Turkey 73 United States 80 Other Central/South American countries 90 Response suppressed 98 Unknown 99 NIU (not in universe) Work Variables -- PERSON Type of commuters For gainfully employed persons, pupils, university students, persons on compulsory military service and conscientious objectors doing non-military service: Please turn to the next page and answer question 15. In item 15.4 you will also be asked to enter the address of your place of work or of your school and you could help save us tremendous sums in processing the forms by also indicating the phone number. Thank you very much! 15. Way of getting to place of work or school/university (traffic flows): <svar v="AT01A442 AT01A443 AT01A444" a="all"><div class="i1">15.2 Is your place of work/school in the same building as your main place of residence or as these other accommodations?</div> <div class="i2">[] Yes ; e.g. home worker, farmer, pupil at boarding school : Thank you! No further questions since there is no travel involved in getting to school or work. [] No : Please proceed to question 15.3</div> </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444" a="AT01A440 AT01A441"><div class="i1">15.4 Address of your place of work/school (destination of your daily trip to work/school):</div> <div class="i2">____ Street (locality) ____ Building number ____ Name of municipality ____ Country ____ Postal code ____ Area code ____ Phone number (without extension): The phone number is not used for follow-up inquiries. It is only to be indicated for places of work/for schools within Austria and helps us to process the precise destinations of traffic flows quickly and cost effectively using electronic data processing.</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447" a="all">15. Way of getting to place of work or school/university (traffic flows): The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go to both school and to work, you should answer the questions for going to work. </svar> <svar v="AT01A442 AT01A443 AT01A444" a="all">Re 15.2: Explanation: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Anyone who works in their home or on the same property (e.g. janitor, farmers, businessmen with business and housing unit in the same house, home workers) or lives in the school building, marks "yes"; for these persons the following questions are not applicable. The provisions for teleworkers that do not work exclusively at home were adopted because they -- like the marginally employed also -- contribute to the traffic volume on the days that they visit their company. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444" a="AT01A440 AT01A441">Re 15.4: Explanation: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the company management that is to be entered rather for example: for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with varying places of work (e.g. traveling salesmen) are asked to enter the address of the place of work where they receive their work assignment if required. Persons with varying places of work (e.g. service technicians, construction workers, traveling salesmen) enter the address for the place of work from which they receive their work assignments, customer lists, and the like. Students enter the address of the university building in which they attend the most lectures or lessons. Persons drafted into compulsory military service enter the address of the barrack, civil servants enter the address of the office where they perform their civil service. If the place of work or school is located abroad, the country abbreviation should be given before the zip code (e.g. "CH" for Switzerland). </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Re question 15: <div class="i1">The depiction of the relationship between residence and place of work/school takes place in the frame of the commuter statistics. Only a complete survey like the population census can present the small-scale traffic flows. Also the simultaneous presentation of the educational, occupational and economic structure of the gainfully employed by residence and place of work forms a unique basis for regional economic analysis. The information on means of transportation and transit time are used in the depiction of traffic flows and have become indispensable components of commuter statistics. The data are needed for the depiction of the job market integration between the municipalities and regions as well as for planning in public sector und in the economy (housing unit construction, company establishment, time table planning). This information is particularly significant for traffic planning. Large amounts were and are invested, in order to provide the necessary infrastructure (highways, public transportation). Dependable information on the assessment of the current and future need is essential because of ever decreasing financial margins of the public authorities, but also because of the environmental burden. The frequent use of the commuter data of the population census appears in the statistics request of the ISIS-data base of Statistics Austria. The commuter flow chart is among the most requested population census data.</div> </svar> Austria 2001: Persons who either work or attend school [discrepancies: type I 1.4%; type II none] This variable indicates the type of commuters. 1 Commuters (employed persons) (only 2001) 2 Commuters (pupils and students) 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Commuting: location of residence and workplace or school For gainfully employed persons, pupils, university students, persons on compulsory military service and conscientious objectors doing non-military service: Please turn to the next page and answer question 15. In item 15.4 you will also be asked to enter the address of your place of work or of your school and you could help save us tremendous sums in processing the forms by also indicating the phone number. Thank you very much! 15. Way of getting to place of work or school/university (traffic flows): <svar v="AT01A442 AT01A443 AT01A444" a="all"><div class="i1">15.2 Is your place of work/school in the same building as your main place of residence or as these other accommodations?</div> <div class="i2">[] Yes ; e.g. home worker, farmer, pupil at boarding school : Thank you! No further questions since there is no travel involved in getting to school or work. [] No : Please proceed to question 15.3</div> </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444" a="AT01A440 AT01A441"><div class="i1">15.4 Address of your place of work/school (destination of your daily trip to work/school):</div> <div class="i2">____ Street (locality) ____ Building number ____ Name of municipality ____ Country ____ Postal code ____ Area code ____ Phone number (without extension): The phone number is not used for follow-up inquiries. It is only to be indicated for places of work/for schools within Austria and helps us to process the precise destinations of traffic flows quickly and cost effectively using electronic data processing.</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447" a="all">15. Way of getting to place of work or school/university (traffic flows): The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go to both school and to work, you should answer the questions for going to work. </svar> <svar v="AT01A442 AT01A443 AT01A444" a="all">Re 15.2: Explanation: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Anyone who works in their home or on the same property (e.g. janitor, farmers, businessmen with business and housing unit in the same house, home workers) or lives in the school building, marks "yes"; for these persons the following questions are not applicable. The provisions for teleworkers that do not work exclusively at home were adopted because they -- like the marginally employed also -- contribute to the traffic volume on the days that they visit their company. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444" a="AT01A440 AT01A441">Re 15.4: Explanation: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the company management that is to be entered rather for example: for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with varying places of work (e.g. traveling salesmen) are asked to enter the address of the place of work where they receive their work assignment if required. Persons with varying places of work (e.g. service technicians, construction workers, traveling salesmen) enter the address for the place of work from which they receive their work assignments, customer lists, and the like. Students enter the address of the university building in which they attend the most lectures or lessons. Persons drafted into compulsory military service enter the address of the barrack, civil servants enter the address of the office where they perform their civil service. If the place of work or school is located abroad, the country abbreviation should be given before the zip code (e.g. "CH" for Switzerland). </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Re question 15: <div class="i1">The depiction of the relationship between residence and place of work/school takes place in the frame of the commuter statistics. Only a complete survey like the population census can present the small-scale traffic flows. Also the simultaneous presentation of the educational, occupational and economic structure of the gainfully employed by residence and place of work forms a unique basis for regional economic analysis. The information on means of transportation and transit time are used in the depiction of traffic flows and have become indispensable components of commuter statistics. The data are needed for the depiction of the job market integration between the municipalities and regions as well as for planning in public sector und in the economy (housing unit construction, company establishment, time table planning). This information is particularly significant for traffic planning. Large amounts were and are invested, in order to provide the necessary infrastructure (highways, public transportation). Dependable information on the assessment of the current and future need is essential because of ever decreasing financial margins of the public authorities, but also because of the environmental burden. The frequent use of the commuter data of the population census appears in the statistics request of the ISIS-data base of Statistics Austria. The commuter flow chart is among the most requested population census data.</div> </svar> Austria 2001: Persons who either work or attend school [discrepancies: type I 1.4%; type II none] This variable indicates the general location of residence and workplace or school. 1 Residence and workplace (school) in same house 2 Residence and workplace (school) in same commune 3 Workplace (school) in other commune, same district 4 Workplace (school) in other district, same province 5 Workplace (school) in other province 6 Workplace (school) abroad 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Commuting: location of residence and workplace or school (general) For gainfully employed persons, pupils, university students, persons on compulsory military service and conscientious objectors doing non-military service: Please turn to the next page and answer question 15. In item 15.4 you will also be asked to enter the address of your place of work or of your school and you could help save us tremendous sums in processing the forms by also indicating the phone number. Thank you very much! 15. Way of getting to place of work or school/university (traffic flows): <svar v="AT01A442 AT01A443 AT01A444" a="all"><div class="i1">15.2 Is your place of work/school in the same building as your main place of residence or as these other accommodations?</div> <div class="i2">[] Yes ; e.g. home worker, farmer, pupil at boarding school : Thank you! No further questions since there is no travel involved in getting to school or work. [] No : Please proceed to question 15.3</div> </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444" a="AT01A440 AT01A441"><div class="i1">15.4 Address of your place of work/school (destination of your daily trip to work/school):</div> <div class="i2">____ Street (locality) ____ Building number ____ Name of municipality ____ Country ____ Postal code ____ Area code ____ Phone number (without extension): The phone number is not used for follow-up inquiries. It is only to be indicated for places of work/for schools within Austria and helps us to process the precise destinations of traffic flows quickly and cost effectively using electronic data processing.</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447" a="all">15. Way of getting to place of work or school/university (traffic flows): The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go to both school and to work, you should answer the questions for going to work. </svar> <svar v="AT01A442 AT01A443 AT01A444" a="all">Re 15.2: Explanation: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Anyone who works in their home or on the same property (e.g. janitor, farmers, businessmen with business and housing unit in the same house, home workers) or lives in the school building, marks "yes"; for these persons the following questions are not applicable. The provisions for teleworkers that do not work exclusively at home were adopted because they -- like the marginally employed also -- contribute to the traffic volume on the days that they visit their company. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444" a="AT01A440 AT01A441">Re 15.4: Explanation: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the company management that is to be entered rather for example: for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with varying places of work (e.g. traveling salesmen) are asked to enter the address of the place of work where they receive their work assignment if required. Persons with varying places of work (e.g. service technicians, construction workers, traveling salesmen) enter the address for the place of work from which they receive their work assignments, customer lists, and the like. Students enter the address of the university building in which they attend the most lectures or lessons. Persons drafted into compulsory military service enter the address of the barrack, civil servants enter the address of the office where they perform their civil service. If the place of work or school is located abroad, the country abbreviation should be given before the zip code (e.g. "CH" for Switzerland). </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Re question 15: <div class="i1">The depiction of the relationship between residence and place of work/school takes place in the frame of the commuter statistics. Only a complete survey like the population census can present the small-scale traffic flows. Also the simultaneous presentation of the educational, occupational and economic structure of the gainfully employed by residence and place of work forms a unique basis for regional economic analysis. The information on means of transportation and transit time are used in the depiction of traffic flows and have become indispensable components of commuter statistics. The data are needed for the depiction of the job market integration between the municipalities and regions as well as for planning in public sector und in the economy (housing unit construction, company establishment, time table planning). This information is particularly significant for traffic planning. Large amounts were and are invested, in order to provide the necessary infrastructure (highways, public transportation). Dependable information on the assessment of the current and future need is essential because of ever decreasing financial margins of the public authorities, but also because of the environmental burden. The frequent use of the commuter data of the population census appears in the statistics request of the ISIS-data base of Statistics Austria. The commuter flow chart is among the most requested population census data.</div> </svar> Austria 2001: Persons who either work or attend school [discrepancies: type I 1.4%; type II none] This variable indicates the general location of residence and workplace or school. 1 Residence and workplace/school in same house 2 Residence and workplace/school in same commune 3 Residence and workplace/school in different communes 8 Unknown 9 NIU (not in universe) Other Person Variables -- PERSON Commuting frequency Austria 2001: Persons who commuted to either work or school [discrepancies: none] This variable indicates the person's commuting frequency. 1 Daily 2 Not daily but weekly etc. 9 NIU (not in universe) Other Person Variables -- PERSON Time for journey to work/school For gainfully employed persons, pupils, university students, persons on compulsory military service and conscientious objectors doing non-military service: Please turn to the next page and answer question 15. In item 15.4 you will also be asked to enter the address of your place of work or of your school and you could help save us tremendous sums in processing the forms by also indicating the phone number. Thank you very much! 15. Way of getting to place of work or school/university (traffic flows): <svar v="AT01A446" a="all"><div class="i1">15.6 Going to your place of work/school everyday (from door to door): how long do you need on average?</div> <div class="i2">_ Hour(s) and _ _ minutes</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447" a="all">15. Way of getting to place of work or school/university (traffic flows): The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go to both school and to work, you should answer the questions for going to work. </svar> <svar v="AT01A446" a="all">Re 15.6: If precise statements can not be made in this question, estimated values are better than none at all. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Re question 15: <div class="i1">The depiction of the relationship between residence and place of work/school takes place in the frame of the commuter statistics. Only a complete survey like the population census can present the small-scale traffic flows. Also the simultaneous presentation of the educational, occupational and economic structure of the gainfully employed by residence and place of work forms a unique basis for regional economic analysis. The information on means of transportation and transit time are used in the depiction of traffic flows and have become indispensable components of commuter statistics. The data are needed for the depiction of the job market integration between the municipalities and regions as well as for planning in public sector und in the economy (housing unit construction, company establishment, time table planning). This information is particularly significant for traffic planning. Large amounts were and are invested, in order to provide the necessary infrastructure (highways, public transportation). Dependable information on the assessment of the current and future need is essential because of ever decreasing financial margins of the public authorities, but also because of the environmental burden. The frequent use of the commuter data of the population census appears in the statistics request of the ISIS-data base of Statistics Austria. The commuter flow chart is among the most requested population census data.</div> </svar> Austria 2001: Persons who either work or attend school [discrepancies: type I 1.4%; type II none] This variable indicates the time the person spends on the journey to work/school. 0 NIU (not in universe) 1 Residence and workplace (school) in same house 2 Journey to work (school) daily, up to 15 minutes 3 Journey to work (school) daily, 16 to 30 minutes 4 Journey to work (school) daily, 31 to 45 minutes 5 Journey to work (school) daily, 46 to 60 minutes 6 Journey to work (school) daily, 61+ minutes 7 Not daily but weekly etc. 8 Daily commuters, changing commute destination 9 Unknown Other Person Variables -- PERSON Means of transport for (daily) commute For gainfully employed persons, pupils, university students, persons on compulsory military service and conscientious objectors doing non-military service: Please turn to the next page and answer question 15. In item 15.4 you will also be asked to enter the address of your place of work or of your school and you could help save us tremendous sums in processing the forms by also indicating the phone number. Thank you very much! 15. Way of getting to place of work or school/university (traffic flows): <svar v="AT01A447" a="all"><div class="i1">15.5 What means of transportation do you generally use going to your place of work/school everyday? For the longest portion of the way (km): Please mark just one item</div> <div class="i2">[] On foot [] Car as driver [] Car as passenger [] Motorcycle, moped [] Train, suburban train [] Tram, subway [] Bus, school bus, trolley bus [] Bicycle [] Other (ship, etc.)</div> <div class="i1">For the remainder of the way (multiple answers are possible):</div> <div class="i2">[] On foot [] Car as driver [] Car as passenger [] Motorcycle, moped [] Train, suburban train [] Tram, subway [] Bus, school bus, trolley bus [] Bicycle [] Other (ship, etc.)</div> </svar> <svar v="AT01A424 AT01A425 AT01A426 AT01A427 AT01A428 AT01A429 AT01A430 AT01A431 AT01A432 AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Questions 12 to 15: Persons who marked one of the three "gainfully employed" boxes in question 11 must always answer questions 12 to 15 for this gainful employment regardless of the referrals to other questions. If you hold several jobs, please answer questions12 to 15 for the occupation involving the most working hours. If you are switching jobs at the time of the census, please answer questions 12 to 15 for your situation on 15 May 2001. Question 12: The "self-employed" (also freelances and professionals) are individuals who pursue their profession for their own account and are therefore not in an employment relationship as an employee. Persons "helping in family business" are gainfully employed persons who are working in a business owned by a family member without receiving formal remuneration for this work. Persons "under contract for work and services, freelance staff" are individuals who perform their work for their own account, similar to the self-employed. Question 13: Please select the designation (job title) that best describes your work (where possible, also the degree of responsibility you have within the business or operation). <div class="i1">Examples of precise work designations: Accounts clerk Men's shirts packing machinist Glas cutter Foreman at dip painting plant Manager of retail shop High voltage line installer Planing machine operator Scientific researcher in environmental protection</div> Question 14: Please indicate as precisely as possible the name of the business/establishment at which you work for item 14.1, its industry (branch of economic activity) for item 14.2. Please write in 14.1 the complete company name (e.g. Robert Miller GmbH). If you own a business without a formal company name (e.g. farmer), enter your own name in question 14.1. Persons with several employers enter the company where they work the most amount of time and answer the remaining questions for this company. Question 15: The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go both to school and to work, you should answer the questions for going to work. Re 15.1: Persons commuting once a week enter the address of their accommodations at their place of work/school. If you depart both from your main place of residence and other accommodations, please indicate the place from which you depart more frequently. In case of doubt, the situation on the reference date applies. Re 15.2: Gainfully employed persons with telework positions who visit their company at least once a week should include commuter data for these trips to the company. Re 15.4: Gainfully employed persons enter the address of their place of work where they start work everyday. In other words, it is not the address of the head office of the company that is to be entered but e.g. for sales staff the address of the branch and for teachers the address of the school (base school) at which they teach. Persons with variable places of work (e.g. traveling salesmen) are kindly asked to enter the address of the place of work where they receive their work assignment. Re 15.5: Persons who switch the mode of transportation they use day to day should indicate the one most frequently used. In case of doubt, the situation on the reference date should be entered. Car pools with alternating drivers should indicate the situation on the reference date. </svar> <svar v="AT01A433 AT01A434 AT01A435 AT01A436 AT01A437 AT01A438 AT01A439 AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Regarding questions 14 and 15: Among the goals of the population census are: the determination of the affiliation of the population in the different branches of the economy (industry, services, etc) as well as the depiction of the traffic flows from housing units to the companies, office, schools etc. The prerequisites for this analysis are composed of the information on name, address, economic sector and company (office, etc.) telephone number. The telephone number corresponds to a critical importance in as much as it, with your help, - number statements are easier to process in the EDV than text - should be possible to relatively quick and inexpensively ascertain the company and its economic sector or exact location in the company registers of Statistics Austria. If that - for example, because of a missing telephone number - is not possible, this information must be gained relatively expensively and time consuming, from the text statements (address, economic sector). The telephone number will, under no circumstances, be used for further inquiry at the company in question - this is impossible, because the data sets for persons are saved without names in the EDV. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447" a="all">15. Way of getting to place of work or school/university (traffic flows): The information from questions 15.1 to 15.6 on going to work or school everyday can be used to determine traffic flows. If you go to both school and to work, you should answer the questions for going to work. </svar> <svar v="AT01A447" a="all">Re 15.5: Explanation: Persons who switch the mode of transportation they use day to day should indicate the one used most frequently. If in doubt, the situation on the day of the census should be entered. Car pools with alternating drivers should indicate the situation on the day of the census. </svar> <svar v="AT01A440 AT01A441 AT01A442 AT01A443 AT01A444 AT01A446 AT01A447">Re question 15: <div class="i1">The depiction of the relationship between residence and place of work/school takes place in the frame of the commuter statistics. Only a complete survey like the population census can present the small-scale traffic flows. Also the simultaneous presentation of the educational, occupational and economic structure of the gainfully employed by residence and place of work forms a unique basis for regional economic analysis. The information on means of transportation and transit time are used in the depiction of traffic flows and have become indispensable components of commuter statistics. The data are needed for the depiction of the job market integration between the municipalities and regions as well as for planning in public sector und in the economy (housing unit construction, company establishment, time table planning). This information is particularly significant for traffic planning. Large amounts were and are invested, in order to provide the necessary infrastructure (highways, public transportation). Dependable information on the assessment of the current and future need is essential because of ever decreasing financial margins of the public authorities, but also because of the environmental burden. The frequent use of the commuter data of the population census appears in the statistics request of the ISIS-data base of Statistics Austria. The commuter flow chart is among the most requested population census data.</div> </svar> Austria 2001: Persons who either work or attend school [discrepancies: type I 1.4%; type II none] This variable indicates the means of transport for (daily) commute. 01 None (on foot) 02 Motor vehicle, motor bike 03 Train, suburban train 04 Tram, subway 05 Bus, trolley bus 06 Bicycle 07 Other 08 Journey to work not daily but weekly etc. 09 Changing commuting destination 98 Unknown 99 NIU (not in universe) Other Person Variables -- PERSON Household status Austria 2001: All persons This variable indicates the household status to which the person belongs to. 1 Head of household 2 Other status Demographic Variables -- PERSON Status in private household, or type of institution <svar v="AT01A449" a="all">7. Position within household (Refer also to explanatory sheet): <div class="i1">[] Head of household (HH) or sole person in household [] Spouse of HH [] Consensual-union-partner of HH [] Daughter, son (step and adopted) [] Spouse/partner of son/daughter [] Grandchild or his/her spouse/partner [] Mother, father (parent-in-law, step parent, grandparent) [] Otherwise related (e.g. brother, aunt, nephew) [] Not related</div> </svar> <svar v="AT01A449" a="all">7. Position in household: Explanation: In order to show the relationship of household members to families, please mark the relationship the person has to the "head of household." Usually, the person contributing the most to the household income is to be designated as the head of household. If income is more or less equal, it is up to the household to designate the person who is to be marked as head of household. In households consisting solely of unrelated persons, it is irrelevant to family and household statistics who is marked as the head of household. For children who were brought into the marriage or consensual union, "daughter/son" should be marked, [p. 76] even if the latter are blood children of the husband or wife only. The term "head of household" is felt to be disagreeable by some persons. Because of that, other expressions were sought in preceding pilot surveys. The results were, however, not encouraging: the understanding of the question and the usefulness of the answers were insufficient. For question-technical reasons, it had to be reverted back to the archaic (but understood by all) term "head of household." <div class="i1">With this information the families living in a household are statistically delimited and their relation to the remaining household members is depicted. Data about the different family types (full families, single parent families, etc.) is important for the planning of family and socio-political measures, for example: level of the family subsidy, scaling of the child tax credit, fare reductions for families on public transportation.</div> </svar> Austria 2001: All persons The variable indicates the person's status in private household, or type of institution. 01 Living alone 02 Household representative of multi-person household 03 Spouse of household representative 04 Cohabitant of household representative 05 Child of household representative 06 Partner of child of household representative 07 Grandchild (including his/her partner) of household representative 08 Ancestor of household representative or his/her partner 09 Other relative of household representative 10 Person not related to household representative 11 Person living in boarding school 12 Person living in dormitory for students 14 Person living in nursing home or hospital 15 Person living in institution for elderly people 16 Person living in institution for the disabled 17 Person living in child care institution 18 Person in institution for children without parents 19 Person living in religious institution 21 Person living in penal institution 22 Person living in refugee camp 23 Person living in private homes for refugees 24 Person living in other institution 25 Person in institution for homeless/socially disadvantaged Demographic Variables -- PERSON Status in private household, or type of institution (EU version) Austria 2001: All persons This variable indicates the person's status in private household, or type of institution (EU version). 01 Person in private household - spouse 02 Person in private household - cohabitant 03 Person in private household - lone parent 04 Person in private household - child 05 Living alone 06 Other person in private household 07 Person living in educational institution 08 Person living in health care institution 09 Person living in institution for retired or elderly people 11 Person living in religious institution 12 Person living in other institution Other Person Variables -- PERSON Family status Austria 2001: All persons This variable indicates the status of the family nucleus to which the person belong to. 1 Husband or lone parent 2 Other status Other Person Variables -- PERSON Whether child of a family or not Austria 2001: All persons This variable indicates whether the person is the child of a family or not. 1 Child in a family 2 Not child in a family Other Person Variables -- PERSON Family status Austria 2001: All persons This variable indicates the status of the family nucleus to which the person belongs to. 1 Spouse 2 Cohabitant 3 Lone parent 4 Child 5 Person, not member of a family Other Person Variables -- PERSON Number of children per family Austria 2001: Family members [discrepancies: none] This variable indicates the number of children in the family nucleus to which the person belong to. 0 0 1 1 2 2 3 3 4 4+ 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children under 6 years old per family Austria 2001: Family members [discrepancies: none] This variable indicates the number of children under 6 years old in the family nucleus to which the person belong to. 0 0 1 1 2 2 3 3 4 4+ 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children under 15 years old per family Austria 2001: Family members [discrepancies: none] This variable indicates the number of children under 15 years old in the family nucleus to which the person belongs to. 0 0 1 1 2 2 3 3 4 4+ 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children under 18 years old per family Austria 2001: Family members [discrepancies: none] This variable indicates the number of children under 18 years old in the family nucleus to which the person belongs to. 0 0 1 1 2 2 3 3 4 4 5 5 6 6+ 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Number of children under 25 years old per family Austria 2001: Family members [discrepancies: none] This variable indicates the number of children under 25 years old in the family nucleus to which the person belongs to. 0 0 1 1 2 2 3 3 4 4 5 5 6 6+ 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Type of family nucleus Austria 2001: Family members [discrepancies: none] This variable indicates the type of family nucleus to which the person belongs to. 1 Husband-wife family 2 Consensual union 3 Lone parent, male 4 Lone parent, female 9 NIU (not in universe) Constructed Family Interrelationship Variables -- PERSON Type of family nucleus Austria 2001: Family members [discrepancies: none] This variable indicates the type of family nucleus to which the person belongs to. 1 Husband-wife family without children 2 Husband-wife family with children 3 Lone parent 9 NIU (not in universe) Constructed Family Interrelationship Variables -- PERSON Type of family nucleus Austria 2001: Family members [discrepancies: none] This variable indicates the type of family nucleus to which the person belongs. 1 Husband-wife family, no child, wife under 40 2 Husband-wife family, youngest child under 6 3 Husband-wife family, youngest child 6-14 yrs 4 Husband-wife family, youngest child 15+ yrs 5 Lone parent, youngest child under 6 years 6 Lone parent, youngest child 6 to 14 years 7 Lone parent, youngest child 15 years and over 8 Husband-wife family, no child, wife 40+ years 9 NIU (not in universe) Constructed Family Interrelationship Variables -- PERSON Number of live-born children <svar v="AT01A484" a="all">9. How many children have you given birth to? <div class="i1">For women 16 and older. Please put an "X" next to the total number of children you have given live birth to even if they currently live elsewhere or have died in the meantime. [] None [] 1 [] 2 [] 3 [] 4 [] 5 [] 6 [] 7 [] 8 or more children</div> </svar> <svar v="AT01A484" a="all">9. Number of children born living: Explanation: Step, adopted and foster children should not be counted in this question. For women under 16 years of age (as well as for men) this question is not applicable. [p. 77] <div class="i1">The total number of children of a woman can only be compiled with a specific question and allows analyses about how the number of children of a woman correlates with other characteristics: with occupation, with the profession of the husband, with the educational background etc. The results should clarify birth and family statistical correlations and facilitate the projection of Austria's population. As such, the low birth rate in recent years is an essential factor for the future demographic development.</div> </svar> Austria 2001: Female age 16+ [discrepancies: type I trace; type II none] This variable indicates the number of the person's live-born children. 0 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8+ 9 NIU (not in universe) Fertility and Mortality Variables -- PERSON Year of marriage <svar v="AT01A407 AT01A485 AT01A486 AT01A487" a="all">3. Marital status (legal marital status): <div class="i1">[] Single [] Married, since _ _ _ _ (year of marriage) [] Divorced [] Widowed</div> </svar> <svar v="AT01A407 AT01A485 AT01A486 AT01A487" a="all">3. Marital status: Explanation: Enter whatever your legal marital status is. "Married" should be marked for persons living in wedlock (not divorced) even if they live separately from their spouse. "Divorced" should be marked for persons who are not remarried, regardless of whether their former spouse is still living or not. "Widowed" should be marked for persons whose marriage ended with the death of the spouse and who are not remarried. [p. 74] "Single" should be marked for all persons that have never been married. Persons living in a consensual union mark the marital status that they legally belong to. "Married" should only be marked, if the marriage with the separate living spouse is still legal (not divorced). <div class="i1">The marital status structure was subjected to severe changes through the decrease in marriages and increase in divorces. Marital status is also important for the projection of the population development (e.g. how many widowed pensioners will accrue in the future). The year of marriage is gathered as an aid characteristic for family development (married couples). Unmarried consensual unions are also accounted for in the results, however, indirectly derived from question 7.</div> </svar> Austria 2001: Currently married persons [discrepancies: none] This variable indicates the person's year of marriage. 1934 1934 or earlier 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) Demographic Variables -- PERSON Duration of marriage in years <svar v="AT01A407 AT01A485 AT01A486 AT01A487" a="all">3. Marital status (legal marital status): <div class="i1">[] Single [] Married, since _ _ _ _ (year of marriage) [] Divorced [] Widowed</div> </svar> <svar v="AT01A407 AT01A485 AT01A486 AT01A487" a="all">3. Marital status: Explanation: Enter whatever your legal marital status is. "Married" should be marked for persons living in wedlock (not divorced) even if they live separately from their spouse. "Divorced" should be marked for persons who are not remarried, regardless of whether their former spouse is still living or not. "Widowed" should be marked for persons whose marriage ended with the death of the spouse and who are not remarried. [p. 74] "Single" should be marked for all persons that have never been married. Persons living in a consensual union mark the marital status that they legally belong to. "Married" should only be marked, if the marriage with the separate living spouse is still legal (not divorced). <div class="i1">The marital status structure was subjected to severe changes through the decrease in marriages and increase in divorces. Marital status is also important for the projection of the population development (e.g. how many widowed pensioners will accrue in the future). The year of marriage is gathered as an aid characteristic for family development (married couples). Unmarried consensual unions are also accounted for in the results, however, indirectly derived from question 7.</div> </svar> Austria 2001: Currently married persons [discrepancies: none] This variable indicates the duration of the person's marriage in years. 00 Under 1 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+ 99 NIU (not in universe) Demographic Variables -- PERSON Age at marriage <svar v="AT01A407 AT01A485 AT01A486 AT01A487" a="all">3. Marital status (legal marital status): <div class="i1">[] Single [] Married, since _ _ _ _ (year of marriage) [] Divorced [] Widowed</div> </svar> <svar v="AT01A407 AT01A485 AT01A486 AT01A487" a="all">3. Marital status: Explanation: Enter whatever your legal marital status is. "Married" should be marked for persons living in wedlock (not divorced) even if they live separately from their spouse. "Divorced" should be marked for persons who are not remarried, regardless of whether their former spouse is still living or not. "Widowed" should be marked for persons whose marriage ended with the death of the spouse and who are not remarried. [p. 74] "Single" should be marked for all persons that have never been married. Persons living in a consensual union mark the marital status that they legally belong to. "Married" should only be marked, if the marriage with the separate living spouse is still legal (not divorced). <div class="i1">The marital status structure was subjected to severe changes through the decrease in marriages and increase in divorces. Marital status is also important for the projection of the population development (e.g. how many widowed pensioners will accrue in the future). The year of marriage is gathered as an aid characteristic for family development (married couples). Unmarried consensual unions are also accounted for in the results, however, indirectly derived from question 7.</div> </svar> Austria 2001: Currently married persons [discrepancies: none] This variable indicates the person's age at marriage. 17 Up to 17 years 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+ 99 NIU (not in universe) Demographic Variables -- PERSON Type of household Austria 2001: All persons This variable indicates the type of household to which the person belongs. 01 Married couple without children 02 Married couple with children 03 Cohabiting couple without children 04 Cohabiting couple with children 05 Lone mother 06 Lone father 07 Household with two or more families 08 Single person household, male 09 Single person household, female 10 Non-family, multi-person household 11 Institutional household Constructed Family Interrelationship Variables -- PERSON