DOI: 10.3886/icpsr33802
title: American Community Survey (ACS): Public Use Microdata Sample (PUMS), 2009
title: Archival Version

description: 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 and Puerto Rico. 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.
description: 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. When programming the replicate weight standard errors, note that the full PUMS weight is never zero or negative. However, the eighty replicate weights can be zero or negative.
description: Datasets: DS0: Study-Level Files DS1: Alabama Housing DS2: Alabama Population DS3: Alaska Housing DS4: Alaska Population DS5: Arizona Housing DS6: Arizona Population DS7: Arkansas Housing DS8: Arkansas Population DS9: California Housing DS10: California Population DS11: Colorado Housing DS12: Colorado Population DS13: Connecticut Housing DS14: Connecticut Population DS15: Delaware Housing DS16: Delaware Population DS17: District of Columbia Housing DS18: District of Columbia Population DS19: Florida Housing DS20: Florida Population DS21: Georgia Housing DS22: Georgia Population DS23: Hawaii Housing DS24: Hawaii Population DS25: Idaho Housing DS26: Idaho Population DS27: Illinois Housing DS28: Illinois Population DS29: Indiana Housing DS30: Indiana Population DS31: Iowa Housing DS32: Iowa Population DS33: Kansas Housing DS34: Kansas Population DS35: Kentucky Housing DS36: Kentucky Population DS37: Louisiana Housing DS38: Louisiana Population DS39: Maine Housing DS40: Maine Population DS41: Maryland Housing DS42: Maryland Population DS43: Massachusetts Housing DS44: Massachusetts Population DS45: Michigan Housing DS46: Michigan Population DS47: Minnesota Housing DS48: Minnesota Population DS49: Mississippi Housing DS50: Mississippi Population DS51: Missouri Housing DS52: Missouri Population DS53: Montana Housing DS54: Montana Population DS55: Nebraska Housing DS56: Nebraska Population DS57: Nevada Housing DS58: Nevada Population DS59: New Hampshire Housing DS60: New Hampshire Population DS61: New Jersey Housing DS62: New Jersey Population DS63: New Mexico Housing DS64: New Mexico Population DS65: New York Housing DS66: New York Population DS67: North Carolina Housing DS68: North Carolina Population DS69: North Dakota Housing DS70: North Dakota Population DS71: Ohio Housing DS72: Ohio Population DS73: Oklahoma Housing DS74: Oklahoma Population DS75: Oregon Housing DS76: Oregon Population DS77: Pennsylvania Housing DS78: Pennsylvania Population DS79: Puerto Rico Housing DS80: Puerto Rico Population DS81: Rhode Island Housing DS82: Rhode Island Population DS83: South Carolina Housing DS84: South Carolina Population DS85: South Dakota Housing DS86: South Dakota Population DS87: Tennessee Housing DS88: Tennessee Population DS89: Texas Housing DS90: Texas Population DS91: Utah Housing DS92: Utah Population DS93: Vermont Housing DS94: Vermont Population DS95: Virginia Housing DS96: Virginia Population DS97: Washington Housing DS98: Washington Population DS99: West Virginia Housing DS100: West Virginia Population DS101: Wisconsin Housing DS102: Wisconsin Population DS103: Wyoming Housing DS104: Wyoming Population DS105: United States Housing DS106: United States Population
description: All persons and housing units in the United States.
description: computer-assisted personal interview (CAPI); computer-assisted telephone interview (CATI); mail questionnaire; telephone interviewParts 105 and 106 represent, respectively, the entire United States Housing and Population datasets for the 2009 American Community Survey (ACS). Both parts 105 and 106 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: 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.