{"doc_desc":{"title":"1980 Population and Housing Census","idno":"DDI_MYS_1980_PHC_v01_M_v7.5_A_IPUMS","producers":[{"name":"IPUMS","abbr":"IPUMS","affiliation":"University of Minnesota","role":"Integration Harmonization Documentation"}],"prod_date":"May 20, 2024","version_statement":{"version":"Version 7.5 October 2024. NEW FEATURES.\n\n--Historical data from NAPP project now available from IPUMS-International.\n--Historical census data from Canada, Denmark, the United Kingdom, Germany, Iceland, Norway, Sweden, and the United States for the period 1703 to 1911 are now available from IPUMS-International. The complete count and sample datasets were previously disseminated by the North Atlantic Population Project (NAPP). Where possible, the data have been integrated into existing IPUMS-International variable coding schema. Some new variables have been created that are available only for these pre-1960 datasets. NAPP data users should note that many NAPP variables are available from IPUMS-International by different names. For a complete list of NAPP variables that have been renamed in IPUMS-Interational, refer to the crosswalk.\n--Individual country shapefiles for the third-level administrative level of geography are now available for a few IPUMS samples.\n--New spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.\n--IPUMS now hosts the Census Mosaic data collection. Census Mosaic identifies, gathers, harmonizes, and distributes surviving historical census microdata from regions of Continental Europe where complete centralized records are not available. The Mosaic project was founded by a consortium of historical social scientists in Europe. Data can be downloaded as static files from the Census Mosaic website. Although the data are not yet integrated fully into IPUMS International, variables have been standardized and harmonized to be roughly compatible with IPUMS coding structures.\n\nNEW SAMPLES.\n\n--Full-count datasets for Great Britain 1851, 1861, 1871 (Scotland only), 1891, and 1901. \n--Full-count dataset for Sweden 1910. Denmark (1845, 1880, and 1885) \n--Labor force surveys from Spain and eight new labor force surveys from Italy added to the series.\n\nNewly added countries: \nBenin, Cote d'Ivoire, Finland, Guatemala, Honduras, Laos, Lesotho, Mauritius, Myanmar, Papua New Guinea, Russia, Slovak Republic, Suriname, Togo, and Zimbabwe\n\nNew samples for: \nBolivia, Cambodia, Cambodia, Chile, Cuba, Cote d'Ivoire, Egypt (1848 and 1868, historical samples), Fiji, Guinea, Ireland, Israel, Italy, Lao PDR, Mexico, Morocco, Nepal, Netherlands, Palestine, Peru, Philippines, Puerto Rico, Rwanda, Senegal, Sierra Leone, South Africa, Switzerland, Uganda, United States, United Kingdom, United States, Vietnam, and Zimbabwe\n\nSUPPLEMENTAL DATA.\n\nData from censuses from Benin and Lesotho that record individual fertility and\/or mortality events were made available in IPUMS-International. These files can be downloaded and linked to data produced by the extract system.\n\nNEW VARIABLES.\n\n--IPUMS-International now provides harmonized and year-specific geography variables for all countries including 13 new samples from Dominican Republic, Germany, Indonesia, Israel, Malaysia, Mongolia, Nicaragua, Nigeria, Palestine, Paraguay, Thailand, United Kingdom, and Uruguay. First-level and second-level year specific geography variables are also available for all countries. IPUMS provides corresponding, downloadable GIS boundary files for all harmonized and year specific geography variables. More information about IPUMS geography variables is available here.\n--IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography. The codes for the spatially harmonized previous-residence variables match the spatially harmonized place of current residence. More information is available here.\n--IPUMS International provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples; previously available country-specific migration variables at the first administrative level that were not fully harmonized spatially have been phased out. Spatially harmonized previous-residence variables at the second administrative level of geography are available for selected samples. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.\n--IPUMS International now provides spatially harmonized previous-residence variables at the first administrative level of geography for all samples. Spatially harmonized previous-residence variables at the second administrative level of geography are available for several samples in this data release. More information is available here. Users should note that many older migration variables are available by different names. Refer to this table for a crosswalk of old and corresponding new migration variables.\n--Lower (third) level geography codes and GIS files have been added for Bangladesh, China, Ethiopia, Mali, Rwanda, and Zimbabwe. Some geography codes and labels might have changed for these countries to accommodate the newer lower level geography.\n--Added more detailed 3-digit industry and occupation variables for China 2000.\n\nEDITED SAMPLES.\n\n--Revised full-count data for Great Britain 1881\n--Revised full-count datasets for Sweden 1890 and 1900. The revision includes the following changes that improve comparability across Sweden datasets:\n--Revisions to certain ethnicity and work variables (and the underlying source data): ORIGIN, LABFORCE, OCCHISCO, OCRELATE, OCSTATUS.\n--Revisions to unharmonized source variables: SE1890A_HISCOSE, SE1890A_HISCRELSE, SE1890A_HISCSTATSE, SE1890A_OCCMULTISE, SE1900A_HISCOSE, SE1900A_HISCRELSE, SE1900A_HISCSTATSE, SE1900A_OCCMULTISE.\n--A new United States 1850 full-count dataset now matches the corresponding dataset distributed by the USA IPUMS data project. The source variable US1850A_0502 (HISTID) provides a linking key to match person records to the USA version of the data. The IPUMS International version of the data contains names, which the USA version cannot distribute.\n\nEDITED VARIABLES.\n\nAn error affecting HHWT for South Africa 2007 was corrected. The existing values were adjusted by a factor of 0.01.\n\nAGEMARR was edited to add data for Hungary 1980 and 1990.\n\nHarmonized and year-specific geography variables for Brazil and Colombia have been edited to accommodate for the availability of refined municipal boundaries. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these two countries.\nErrors affecting BPLSE2 (formerly BPLPARSE) for Sweden 1890 and the underlying source variable were corrected. Several thousand cases were incorrectly coded as 258101000. These cases have been updated with the correct code: 258171000.\n\nHarmonized geography variables for Italy, Philippines, Rwanda, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year specific geography varaibles for these countries. More information about IPUMS geography variables is available here.\nThe codes for the source variable RW2002A_0419 were corrected to include 0 and 8 as possible responses, which were previously identified as 'unknown years' within primary education.\n\nErrors affecting EDUCFJ for Fiji 2006 were corrected.\nA problem with PERWT for Tanzania 2012 was corrected. The previous weights were adjusted to properly reflect population totals.\n\nMOMLOC, POPLOC, and PARRULE were updated for the United States 2010 and 2015 samples to include additional information on subfamilies. Prior to this correction, persons above age 17 were not receiving links to their co-resident mothers and fathers.\n\nAn error affecting codes for the URBAN variable in Egypt 1986 for Cairo, Alexandria, Port-Said, and Suez was corrected.\n\nAn error in INCEARN affecting Venezuela 2001 was corrected. Earned income in the source variable VE2001A_0440 is interpreted as a monthly amount, thus adjustments previously applied to convert data from daily or weekly income were supressed.\n\nAll the six Brazil samples in IPUMS International were replaced with higher density samples.\n\nAn edited version of the Chile 2017 sample was introduced to correct an error in household breaks.\n\nErrors affecting codes for GEO1_ZA in South Africa 2011 and ENUTS1 in United Kingdom 1991 were corrected.\n\nHarmonized geography variables for Cambodia, Fiji, and Nepal have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography varaibles for these countries. More information about IPUMS geography variables is available here.\nAn error in PERWT affecting Nepal 2001 was corrected.\nErrors affecting a code in GQ for Brazil 2010 and Indonesia 2010 were corrected. Both census samples now identify 1-person units created by splitting a large household.\n\nAn error in MARRNUM affecting Indonesia 1976 was corrected. Some codes for GEO1_EG2006 and GEO2_EG2006 were edited.\n\nHarmonized geography variables for Bolivia, Cuba, Guinea, Ireland, Morocco, Palestine, Senegal, South Africa, and Uganda have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.\nAn error in INCEARN affecting Brazil 1980 was corrected.\nAn error in EDATTAIN affecting Ireland 1971 and 1981 was corrected.\n\nA small proportion of person records in Mexico 1960 were re-classified in MIGRATEP based on information about their current and previous residence. These were previously coded to 'different major administrative unit', even though their place of residence suggests that their last move was within the same major administrative unit.\nThe second-level technician (higher) degrees for Spain 1991, 2001, and 2011 were re-classified into post-secondary technical education in EDATTAIN.\nAn error affecting codes for SEX for Egypt 1848 and 1868 was corrected. The values for male and female had been reversed.\n\nA problem with HHWT and PERWT for Canada 2011 was corrected. The previous weights were adjusted to properly reflect population totals.\nHarmonized geography variables for Cambodia, Lao PDR, Mexico, Peru, Switzerland, Vietnam, Puerto Rico, United Kingdom, and United States have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.\n\nHarmonized geography variables for Chile and Sierra Leone have been edited to accommodate new samples. Users should be aware that codes and labels have changed in all harmonized and year-specific geography variables for these countries. More information about IPUMS geography variables is available here.\nAn error affecting codes for COMPUTER for Senegal 2013 was corrected.\nAn error affecting labels available in IND for Peru 1993 was corrected.\nAn error affecting codes for persons previously residing abroad for MIG1_5_BO in Bolivia 2001 and 2012 was corrected.\nEDUCAR, EDATTAIN, and YRSCHOOL were adjusted in the Argentina samples to incorporate information on completion of education levels in the data harmonization.\nHHWT and PERWT were calibrated in Kenya 1979 to properly reflect the population distribution by province.\nIn GQ (group quarters status), persons residing in hospitals of all types were reclassified to 'institutional group quarters' from 'other group quarters,' making their treatment consistent with GQTYPE.\n\nErrors affecting codes for BPLBJ2 in Benin 1979, 1992, and 2002 were corrected.\nErrors affecting codes for GEO2_BR1970 in Brazil 1970 were corrected."}},"study_desc":{"title_statement":{"idno":"MYS_1980_PHC_v01_M_v7.5_A_IPUMS","title":"1980 Population and Housing Census - IPUMS Subset","alternate_title":"PHC Malaysia 1980 (IPUMS Harmonized Subset)"},"authoring_entity":[{"name":"Department of Statistics Malaysia","affiliation":""},{"name":"IPUMS","affiliation":"University of Minnesota"}],"production_statement":{"copyright":"(c) Copyright 1980, Department of Statistics Malaysia and Minnesota Population Center"},"distribution_statement":{"contact":[{"name":"Department of Statistics Malaysia","affiliation":"","email":"","uri":""}],"deposit_date":"","distribution_date":""},"series_statement":{"series_name":"Population and Housing Census [hh\/popcen] IPUMS International","series_info":"DOI:10.18128\/D020.V7.5"},"version_statement":{"version":"Version 7.5. The datasets contain selected variables from the original census microdata plus harmonized variables from the IPUMS-International database.","version_date":"2024-10-05"},"bib_citation_format":"","study_authorization":{"date":""},"study_info":{"topics":[{"topic":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Geography: Global Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Nativity and Birthplace Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Disability Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Education Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Constructed Family Interrelationship Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Ethnicity and Language Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Geography: F-N Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Group Quarters Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Constructed Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Migration: F-N Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Technical Person Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Technical Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Geography: F-N Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Household Economic Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Utilities Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Other Household Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Group Quarters Variables -- HOUSEHOLD","vocab":"IPUMS","uri":""},{"topic":"Demographic Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Ethnicity and Language Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Nativity and Birthplace Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Other Person Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Education Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Migration: Global Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Disability Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work: Occupation Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Work: Industry Variables -- PERSON","vocab":"IPUMS","uri":""},{"topic":"Fertility and Mortality Variables -- PERSON","vocab":"IPUMS","uri":""}],"time_periods":[{"start":"1980-06-10","end":"1980-06-10","cycle":""}],"coll_dates":[{"start":"1980-05-26","end":"1980-06-28","cycle":""}],"nation":[{"name":"Malaysia","abbreviation":"MYS"}],"geog_unit":"Districts with 20,000+ population","analysis_unit":"Persons, households, and dwellings  Excludes 2 states: Sabah and Sarawak\n        \nUNITS IDENTIFIED:\n- Dwellings: yes\n- Vacant Units: no\n- Households: yes\n- Individuals: yes\n- Group quarters: yes\n\nUNIT DESCRIPTIONS:\n- Dwellings: Living quarters have been defined for census purposes as places of abode, which are structurally separate and independent.  The terms separate and independent mean the following: Separate: A structure is considered separate if it is surrounded by walls, fence, etc., and is covered by roof. Independent:  A structure is said to be independent if it has direct access via a public staircase, communal passageway or landing (that is, occupants can come in or go out of their living quarters without passing through someone else\u2019s premises). In general, living quarters can be classified into two categories, that is: (i) Built or converted for living (e.g. house, flat, apartment, shophouse, makeshift hut, hotel, hostels, etc.) (ii) Not meant for living but used for this purpose on Census Day (e.g. in a building such as office, shop, barn, community hall, etc.) Living quarters built or converted for living can be further classified into housing units and collective living quarters.  Housing units are classified into six main types, namely: House; Flat\/apartment\/condominium; Shop house, office; Room (with direct access to the outside); improvised\/temporary hut; and others. House can be further classified into Detached house; and Semi-detached house.\n- Households: A household is defined as a group of persons who live together and make common provision for food and other essentials of living. The people in the group may be related or unrelated or a combination of both. A household may consist of only one person or it may be a multi-member household.\n- Group quarters: Living quarters which is built or converted for living (e.g. house, flat, apartment, shophouse, makeshift hut, hotel, hostels, etc.).","universe":"The 1980 Population Census included all Malaysians and non- Malaysians who had slept in private or small institutional living quarters during Census Night.  However, there were several group of people who did not fall into the above category and for whom special arrangements were made:   (a) Persons living in remote and security areas - These include the Orang Asli (Aborigines) in Peninsular Malaysia and other indigenous groups who live deep in the jungles in the interior of Sabah and Sarawak; also persons in security areas were included.  The enumeration of such persons was done in a single stage operation.  (b) Military, naval and diplomatic personnel and their families and civilians staying outside Malaysia - Since the strategy of enumeration was based on the de facto approach, this group of persons were excluded from the count.  Civilians who were temporarily away from the country were also excluded.  (c) Resident merchants, seamen and passengers who were at sea on Census night  The following were included:- (i) Crews and passengers on coastal ships sailing in Malaysian waters or in Malaysian ports or sailing between Malaysian ports; (ii) Crews and passengers on vessels registered in Malaysia and engaged in regional trade.  Crews and passengers on foreign registered ships in port or in Malaysian waters were, however, excluded.  (d) Civilian residents who cross a frontier daily to work in another country -This group was included in the census if they were in Malaysia on Census night.  (e) Foreign military, naval and diplomatic personnel and their families located in the country -All persons in this category were included in the census with the exception of persons having diplomatic immunity.  (f) Transients -Wayfarers, homeless people and travellers were included in the census.  Special arrangements were made with the police, railway and marine authorities to enumerate these people.  (g) Institutions -Institutions in large hotels, hostels, hospitals and prisons were also included.  (h) Army camps and army personnel on patrol -Army personnel were included in the census, through the assistance of the commanding officers of the camps.","data_kind":"Population and Housing Census [hh\/popcen]","notes":"Additional notes on a sample that is part of this study:  Malaysia 1980\n            Note: Excludes 2 states: Sabah and Sarawak","ex_post_evaluation":{"completion_date":"","type":""}},"method":{"data_collection":{"sampling_procedure":"MICRODATA SOURCE: Department of Statistics Malaysia\n\nSAMPLE SIZE (person records): 182601.\n\nSAMPLE DESIGN: Unknown. **Note: The states of Borneo (Sabah and Sarawak) are excluded from the sample.","sample_frame":{"frame_unit":{"is_primary":"","num_of_units":""}},"coll_mode":["Face-to-face [f2f]"],"research_instrument":"Five types of schedules were used for the 1980 Population and Housing Census: Form 1 consisted of a House Listing Book; Form 2 was the schedule used in the Housing Census; Form 3 was used to collect information on households and; Form 4 was used for collecting individual particulars. However, persons in large hotels, hostels, hospitals, prisons and other institutions were enumerated on Form 33, a shortened version of Form 4.","instru_development_type":"","sources":[{"name":"","origin":"","characteristics":""}],"coll_situation":"de facto, CENSUS DAY: 1980-06-10 00:00:00","weight":"Self-weighting Expansion factor = 60."}},"data_access":{"dataset_availability":{"access_place":"","access_place_url":""},"dataset_use":{"conf_dec":[{"txt":"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.\n\nTo gain access to the data, a researcher must agree to the following:\n\n(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.\n\n(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.\n\n(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.\n\n(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.\n\nOnce 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.\n\nThese 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.\n\nIPUMS 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:\n\n(1) Swapping an undisclosed fraction of records from one administrative district to another to make positive identification of individuals impossible.\n\n(2) Randomizing the placement of households within districts to disguise the order in which individuals were enumerated or the data processed.\n\n(3) Aggregating codes of sensitive characteristics (e.g., grouping together very small ethnic categories)\n\n(4) Top- and bottom-coding continuous variables to prevent identification of extreme cases.\n\nThe 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.","required":"yes","form_no":"","form_uri":""}],"contact":[{"name":"Department of Statistics Malaysia","affiliation":"","email":"","uri":""}],"cit_req":"Steven Ruggles, Lara Cleveland, Rodrigo Lovaton, Sula Sarkar, Matthew Sobek, Derek Burk, Dan Ehrlich, Quinn Heimann, Jane Lee. Integrated Public Use Microdata Series, International: Version 7.5 [dataset]. Minneapolis, MN: IPUMS, 2024. https:\/\/doi.org\/10.1 [dataset]. Minneapolis, MN: IPUMS, 2024. https:\/\/doi.org\/10.18128\/D020.V7.5\n\nResearchers should also acknowledge the statistical agency that originally produced the data: Malaysia, Department of Statistics Malaysia. 1980 Population and Housing Census\n\n\nThe 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.\n\nCopies of such materials are also gratefully received at ipums@umn.edu.\n\nPrinted matter should be sent to:\nIPUMS International\nMinnesota Population Center\nUniversity of Minnesota\n50 Willey Hall\n225 19th Avenue South\nMinneapolis, MN 55455","conditions":"An adapted version of the dataset, harmonized for international comparability, is available from IPUMS International (https:\/\/international.ipums.org\/international\/) under the following conditions:\n\nIPUMS 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:\n\n(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.\n\n(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.\n\n(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.\n\n(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.\n\nOnce 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.\n\nThese 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.","disclaimer":"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."}}},"schematype":"survey","tags":[{"tag":"noDOI"}]}