American Community Survey (ACS): Public Use Microdata Sample (PUMS), 2003 (ICPSR 4117)
Principal Investigator(s): United States Department of Commerce. Bureau of the Census
The American Community Survey (ACS) is a part of the Decennial Census Program and is designed to produce critical information about the characteristics of local communities. The ACS publishes social, housing, and economic characteristics for demographic groups covering a broad spectrum of geographic areas in the United States. Every year the ACS supports the release of single-year estimates for geographic areas with populations of 65,000 or more. Demographic variables include sex, age, relationship, households by type, race, and Hispanic origin. Social characteristics variables include school enrollment, educational attainment, marital status, fertility, grandparents caring for children, veteran status, disability status, residence one year ago, place of birth, United States citizenship status, year of entry, world region of birth of foreign born, language spoken at home, and ancestry. Variables focusing on economic characteristics include employment status, commuting to work, occupation, industry, class of worker, income and benefits, and poverty status. Variables focusing on housing characteristics include occupancy, units in structure, year structure was built, number of rooms, number of bedrooms, housing tenure, year householder moved into unit, vehicles available, house heating fuel, utility costs, occupants per room, housing value, and mortgage status. The American Community Survey is conducted under the authority of Title 13, United States Code, Sections 141 and 193, and response is mandatory.
WARNING: Because this study has many datasets, the download all files option has been suppressed, and you will need to download one dataset at a time.
WARNING: This study is over 150MB in size and may take several minutes to download on a typical internet connection.
United States Department of Commerce. Bureau of the Census. American Community Survey (ACS): Public Use Microdata Sample (PUMS), 2003. ICPSR04117-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2009-12-01. http://doi.org/10.3886/ICPSR04117.v2
Persistent URL: http://doi.org/10.3886/ICPSR04117.v2
Scope of Study
Subject Terms: census data, citizenship, demographic characteristics, economic conditions, employment, ethnicity, families, genealogy, hearing impairment, household composition, households, housing, housing conditions, immigration, income, indigenous populations, labor force, marriage, military service, mortgage payments, physical disabilities, population, population characteristics, population migration, public utilities, race, taxes, vision impairment
Geographic Coverage: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York (state), North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, United States, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming
Date of Collection:
Universe: All persons and housing units in the United States.
Data Types: survey data
Data Collection Notes:
Parts 103 and 104 represent, respectively, the entire United States Housing and Population datasets for the 2004 American Community Survey (ACS). Both parts 103 and 104 are quite large and should be downloaded at the discretion of the user.
ICPSR suggests SDA online analysis for those users who wish to use the United States ACS housing and population datasets but have decided not to download the respective parts. SDA online analysis is available at: United States Housing SDA, United States Population SDA.
Any state's housing and population data files can be merged via the variable SERIALNO to create a hierarchical data file. The hierarchical data structure represents the responses of all individuals reported living in a given housing unit. Individuals can be distinguished by the variable SPORDER (Person Number). If users are merging files, keep in mind that estimates of family, household, and housing characteristics will make use of the housing weights. Estimates of person characteristics will use the person weights.
Users are strongly encouraged to read all documentation regarding sampling errors and weights prior to merging files. Documentation is available for download or can be accessed on the American Community Survey Web site.
Weight: The data in the household and population files contain weights. The initial weights reflect the probability of selection and are adjusted for interviewed households to account for noninterviews. Additional weights reflect independent housing unit and population estimates.
Mode of Data Collection: computer-assisted personal interview (CAPI), computer-assisted telephone interview (CATI), mail questionnaire
Extent of Processing: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Performed consistency checks.
- Created variable labels and/or value labels.
- Standardized missing values.
- Created online analysis version with question text.
- Checked for undocumented or out-of-range codes.
Original ICPSR Release: 2008-01-15
- 2009-12-01 SAS, SPSS, and Stata setup files, SAS and Stata supplemental syntax files, SAS transport (CPORT) files, SPSS system files, and Stata system files were added to this data collection. SDA and tools have been added to the study. The study will be released with full product suite and will no longer be listed as a FastTrack study.
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