ABC News NAFTA Debate Poll, November 1993 (ICPSR 6294)
ABC News/NHK Japan Poll, November 1991 (ICPSR 9889)
Age and Generations Study, 2007-2008 (ICPSR 34837)
Alienation: An Organizational Societal Comparison, 1972 (ICPSR 7343)
California Healthcare Foundation/Mercer Small Business Health Insurance Survey, 2000 (ICPSR 3383)
Census of Governments, 1992: Employment Statistics (ICPSR 4419)
Census of Governments, 1992: Government Organization (ICPSR 4421)
Census of Governments, 1997: Employment Statistics (ICPSR 4422)
Census of Governments, 1997: Government Organization (ICPSR 4424)
Census of Governments, 2002: Employment Statistics (ICPSR 4425)
Census of Population and Housing, 1990 [United States]: Summary Tape File 420, Place of Work 20 Destinations File (ICPSR 6212)
Census of Population and Housing, 2000 [United States]: County-to-County Worker Flow Files (ICPSR 13405)
Census of Population and Housing, 2000 [United States]: Minor Civil Division/County-to-Minor Civil Division/County Worker Flow Files (ICPSR 13572)
Chinese Household Income Project, 2002 (ICPSR 21741)
The purpose of this project was to measure and estimate the distribution of personal income and related economic factors in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components. Data were collected through a series of questionnaire-based interviews conducted in rural and urban areas at the end of 2002. There are ten separate datasets. The first four datasets were derived from the urban questionnaire. The first contains data about individuals living in urban areas. The second contains data about urban households. The third contains individual-level economic variables copied from the initial urban interview form. The fourth contains household-level economic variables copied from the initial urban interview form. The fifth dataset contains village-level data, which was obtained by interviewing village leaders. The sixth contains data about individuals living in rural areas. The seventh contains data about rural households, as well as most of the data from a social network questionnaire which was presented to rural households. The eighth contains the rest of the data from the social network questionnaire and is specifically about the activities of rural school-age children. The ninth dataset contains data about individuals who have migrated from rural to urban areas, and the tenth dataset contains data about rural-urban migrant households. Dataset 1 contains 151 variables and 20,632 cases (individual urban household members). Dataset 2 contains 88 variables and 6,835 cases (urban households). Dataset 3 contains 44 variables and 27,818 cases, at least 6,835 of which are empty cases used to separate households in the file. The remaining cases from dataset 3 match those in dataset 1. Dataset 4 contains 212 variables and 6,835 cases, which match those in dataset 2. Dataset 5 contains 259 variables and 961 cases (villages). Dataset 6 contains 84 variables and 37,969 cases (individual rural household members). Dataset 7 contains 449 variables and 9,200 cases (rural households). Dataset 8 contains 38 variables and 8,121 cases (individual school-age children). Dataset 9 contains 76 variables and 5,327 cases (individual rural-urban migrant household members). Dataset 10 contains 129 variables and 2,000 cases (rural-urban migrant households).
The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.
Class Structure and Class Consciousness: Merged Multi-Nation File (ICPSR 8413)
Comparative Project on Class Structure and Class Consciousness: Core and Country-Specific Files (ICPSR 9323)
Comparative Study on the Organization and Performance of Research Units, 1974 (ICPSR 7547)
County Business Patterns, United States, 1964-present (ICPSR 37325)
County Business Patterns (CBP) is an annual series that provides subnational economic data by industry for businesses with paid employees within the U.S., Puerto Rico, and Island Areas (Guam, American Samoa, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands) at a detailed geography and industry level. This program is authorized under the United States Code, Titles 13 and 26. This series includes the number of establishments, employment during the week of March 12, first quarter payroll, and annual payroll. Data reported are for activities occurring during the reference year. CBP has been published annually since 1964; similar data were reported for various periods since 1946.
Statistics are available on business establishments at the U.S. level and by State, County, Metropolitan area, ZIP Code, and Congressional District Levels. Data for Puerto Rico and the Island Areas are available at the State and county equivalent levels. CBP covers most NAICS industries excluding crop and animal production; rail transportation; National Postal Service; pension, health, welfare, and vacation funds; trusts, estates, and agency accounts; private households; and public administration. CBP also excludes most establishments reporting government employees. Precautions are taken to avoid disclosing the operations of an individual employer.
The arts-related NAICS industries covered in the CBP include:Arts, entertainment, and recreation (NAICS Code 71)
- Performing arts, spectator sports, and related industries
- Museums, historical sites, zoos, and parks
- Amusement parks, gambling, and recreation
Professional, scientific, and technical services (NAICS Code 54)
- Architectural services
- Graphic design services
- Photographic services
Retail trade (NAICS Code 44-45)
- Sporting goods, hobby, book, and music stores
- Book, periodical, and music stores
- Art dealers
This data collection is useful for studying the economic activity of small areas; analyzing economic changes over time; and as a benchmark for other statistical series, surveys, and databases between economic censuses. Businesses use the data for analyzing market potential, measuring the effectiveness of sales and advertising programs, setting sales quotas, and developing budgets. Government agencies use the data for administration and planning.
County Characteristics, 2000-2007 [United States] (ICPSR 20660)
Decision Making on Early Retirement, 1965-1969 (ICPSR 7433)
Developing a Comprehensive Empirical Model of Policing in the United States, 1996-1999 (ICPSR 4338)
Dictionary of Occupational Titles (DOT): Part I - Current Population Survey, April 1971, Augmented With DOT Characteristics and Dictionary of Occupational Titles (DOT): Part II - Fourth Edition Dictionary of DOT Scores for 1970 Census Categories (ICPSR 7845)
Employee Records of the Ford Motor Company [Detroit Area], 1918-1947 (ICPSR 6352)
Employee Stock Ownership Plans, 1982-1991: [United States] (ICPSR 2600)
Ethnic Minorities and Political Support: An Examination of Mass Attitudes in Kazakhstan, Kyrgyzstan, and Belarus, 1998 (ICPSR 3713)
Eurobarometer 44.2: Working Conditions in the European Union, November 1995-January 1996 (ICPSR 6722)
Euro-Barometer 9: Employment and Unemployment in Europe, April 1978 (ICPSR 7727)
Federal Employee Attitude Survey, September-October 1983 (ICPSR 6034)
French Election Study, 1968 (ICPSR 7247)
IAB Establishment Panel, 1993-2020 (ICPSR 37161)
Individual Responses to Affirmative Action Issues in Criminal Justice Agencies, 1981: [United States] (ICPSR 9311)
International Social Justice Project, 1991 and 1996 (ICPSR 6705)
International Social Justice Project, 1996 and 2000 [Germany] (ICPSR 22750)
IPUMS Contextual Determinants of Health (CDOH) Gender Measure: Earnings Ratio by State, United States, 2015-2022 (ICPSR 38850)
The IPUMS Contextual Determinants of Health (CDOH) data series includes measures of disparities, policies, and counts by state or county for historically marginalized populations in the United States including Black, Asian, Hispanic/Latina/o/e/x, and LGBTQ+ persons as well as women.
The IPUMS CDOH data are made available through ICPSR/DSDR for merging with the National Couples' Health and Time Study (NCHAT), United States, 2020-2021 (ICPSR 38417) by approved restricted data researchers. All other researchers can access the IPUMS CDOH data via the IPUMS CDOH website.
Unlike other IPUMS products, the CDOH data are organized into multiple categories related to Race and Ethnicity, Sexual and Gender Minority, Gender, and Politics. The CDOH measures were created from a wide variety of data sources (e.g., IPUMS NHGIS, the Census Bureau, the Bureau of Labor Statistics, the Movement Advancement Project, and Myers Abortion Facility Database). Measures are currently available for states or counties from approximately 2015 to 2020.
The Gender measures in this release include the state-level earnings ratio, which compares the median earnings of full-time wage and salary workers identifying as male to the median earnings of full-time wage and salary workers identifying as female in a given state in a given year. To work with the IPUMS CDOH data, researchers will need to first merge the NCHAT data to DS1 (MATCH ID and State FIPS Data). This merged file can then be linked to the IPUMS CDOH datafile (DS2) using the STATEFIPS variable.
Knights of Labor Assemblies, 1879-1889 (ICPSR 29)
Law Enforcement Agency Roster (LEAR), 2016 (ICPSR 36697)
Law Enforcement Management and Administrative Statistics (LEMAS), 1987 (ICPSR 9222)
Law Enforcement Management and Administrative Statistics (LEMAS), 1990 (ICPSR 9749)
Law Enforcement Management and Administrative Statistics (LEMAS), 1993 (ICPSR 6708)
Law Enforcement Management and Administrative Statistics (LEMAS): 1997 Sample Survey of Law Enforcement Agencies (ICPSR 2700)
Law Enforcement Management and Administrative Statistics (LEMAS): 1999 Sample Survey of Law Enforcement Agencies (ICPSR 3079)
Law Enforcement Management and Administrative Statistics (LEMAS): 2000 Sample Survey of Law Enforcement Agencies (ICPSR 3565)
Law Enforcement Management and Administrative Statistics (LEMAS): 2003 Sample Survey of Law Enforcement Agencies (ICPSR 4411)
Law Enforcement Management and Administrative Statistics (LEMAS), 2007 (ICPSR 31161)
Law Enforcement Management and Administrative Statistics (LEMAS), 2013 (ICPSR 36164)
Law Enforcement Management and Administrative Statistics (LEMAS), 2016 (ICPSR 37323)
Law Enforcement Management and Administrative Statistics (LEMAS), 2020 (ICPSR 38651)
Linked Employer-Employee Data of the IAB: LIAB Cross-sectional Model 2, 1993-2019 (ICPSR 37158)
Linked Employer-Employee Data of the IAB: LIAB Longitudinal Model, 1975-2017 (ICPSR 37159)
Manpower Survey Series (ICPSR 35627)
The manpower statistics take households as a base and utilize sampling surveys to collect basic data such as quality, quantity, labor force structure, employment, unemployment, reasons of unemployment, and composition of those not in labor force among the civilian population ages 15 and above. The first formal survey was started in January 1978. The geographic scope of this survey covers Taiwan Province and municipalities. A stratified two-stage random sampling is schemed to sample households for this survey: sample units drawn in the first stage of sampling are TSUN/LIs, while those drawn in the second stage are households. Through face-to-face interviews or telephone interviews, the sampled households are surveyed by well-trained interviewers who are recruited and assigned by local governments. Conducted once a month in the week right after a reference week, this survey is to record events occurred in the reference week covering the 15th day of the month.
To meet the requirements of other government agencies in their manpower management and socioeconomic policy enforcement and decision-making, supplementary surveys have been conducted, using the same sample, to collect more detailed data such as "Manpower Utilization Survey" and "Women's Marriage, Fertility and Employment Survey". In addition, Manpower Utilization Survey is a both quasi-longitudinal and cross-sectional study. Because each household is surveyed twice and then replaced, approximate a half of the final sample in two consecutive years can be incorporated. Survey Research Data Archive (SRDA) incorporates the data collecting from the same sample in two consecutive years into another new dataset. In spite of only two time points, an aggregation of the incorporated datasets with the characteristics similar to longitudinal panel study are named as "Manpower Utilization Quasi-Longitudinal Survey Database". The requirements of sample incorporation provided by SRDA include household, same-sex, age at the second wave that equals to the first wave plus one, and education level at second wave that is the same or higher than the first wave.