Name File Type Size Last Modified
ACS2010-2014_PUMS_README.pdf application/pdf 328.8 KB 03/03/2017 10:16:AM
PUMS_Data_Dictionary_2010-2014.pdf application/pdf 974.9 KB 03/03/2017 10:43:AM
checksums.sha256 text/plain 316 bytes 10/20/2017 11:11:AM
checksums_h.sha256 text/plain 316 bytes 10/20/2017 11:12:AM
ss14husa.csv text/csv 1.6 GB 10/20/2017 11:18:AM
ss14husb.csv text/csv 1.2 GB 10/29/2015 04:39:AM
ss14husc.csv text/csv 1.3 GB 10/29/2015 04:40:AM
ss14husd.csv text/csv 1.3 GB 10/29/2015 04:36:AM
ss14pusa.csv text/csv 4.3 GB 03/03/2017 10:16:AM
ss14pusb.csv text/csv 3.1 GB 03/03/2017 10:16:AM

Project Citation: 

United States Department of Commerce. Bureau of the Census. American Community Survey 2010-2014 5-YEAR PUMS. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-10-20. https://doi.org/10.3886/E100486V2

Persistent URL:  http://doi.org/10.3886/E100486V2

Project Description

Project Title:  American Community Survey 2010-2014 5-YEAR PUMS
Summary: 
The Public Use Microdata Sample (PUMS) contains a sample of actual responses to the American Community Survey (ACS). The PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status). Each record in the file represents a single person, or--in the household-level dataset--a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. PUMS files for an individual year, such as 2014, contain records of data from approximately one percent of the United States population. As such, PUMS files covering a five-year period, such as 2010-2014, contain records of data from approximately five percent of the United States population.

The PUMS files are much more flexible than the aggregate data available on American FactFinder, though the PUMS also tend to be more complicated to use. Working with PUMS data generally involves downloading large datasets onto a local computer and analyzing the data using statistical software such as R, SPSS, Stata, or SAS.

Since all ACS responses are strictly confidential, many variables in the PUMS file have been modified in order to protect the confidentiality of survey respondents. For instance, particularly high incomes are "top-coded," uncommon birthplace or ancestry responses are grouped into broader categories, and the PUMS file provides a very limited set of geographic variables.

NOTE: The current archive only contains the files for the entire US. The original website contains state-by-state files as well. The overall content is the same.
Funding Sources:  Alfred P. Sloan Foundation (G-2015-13903); National Science Foundation. Directorate for Social, Behavioral and Economic Sciences (SES-1131848)
Original Distribution URL:  http://www2.census.gov/programs-surveys/acs/data/pums/2014/5-Year/

Scope of Project

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:  United States
Time Period(s):  1/1/2010 – 12/31/2014 (2010-2014)
Collection Date(s):  1/1/2010 – 12/31/2014 (2010-2014)
Universe:  All persons and housing units in the United States.
Data Type(s):  survey data
Collection Notes:  For additional years of ACS data, please see ICPSR's American Community Survey (ACS) Series, which is available at www.icpsr.umich.edu/icpsrweb/ICPSR/series/205 or the Census Bureau's ACS PUMS page at https://www.census.gov/programs-surveys/acs/technical-documentation/pums/about.html.



Published Versions

V2 [2017-10-20]

V1 [2017-03-06]

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