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Archive of Census Related Products (ACRP)

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  • Collection Overview
  • Data Sets (11)
    • Public Use Microdata Sample Areas (PUMA) Boundary Files, v1 (1990)
    • Boundary Files, v1 (1980 – 1992)
    • Census Block Statistics, v1 (1990)
    • Enhanced Migration Files, v1 (1985 – 1990)
    • Public Use Microdata Samples (PUMS), v1 (1940 – 1990)
    • SAS Transport Files, v1 (1990)
    • SAS Transport Files, v1 (1980)
    • Standard Extract Files, v1 (1990)
    • Street Intersections, v1 (1990)
    • Summary Tape File (STF1B), v1 (1990)
    • ZIP Code Equivalency Files, v1 (1990)
  • Citations
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Public Use Microdata Sample Areas (PUMA) Boundary Files, v1 (1990)

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Purpose:
To provide an authoritative boundary layer for the geographies associated with the Public Use Micro Sample (PUMS) data files.
Abstract:
The 1990 Public Use Microdata Sample Areas (PUMA) Boundary Files portion of the Archive of Census Related Products (ACRP) consists of 5% sample (apuma) and 1% sample (bpuma) areas for the mapping of 1990 PUMS data covering the continental United States, Alaska, and Hawaii. These boundary files are created based on equivalency files generated by the Geographic Correspondence Engine (GeoCorr). A national census tract to PUMA geography correspondence file is used in merging the two files resulting in the PUMA geographies. An additional file is also available consisting of geographic centroids for the PUMA coverages calculated by UIC (Urban Information Center/Office of Computing, University of Missouri). This portion of the ACRP is produced by the Center for International Earth Science Information Network (CIESIN).
Recommended Citation(s)*:

Center for International Earth Science Information Network - CIESIN. 1996. Archive of Census Related Products (ACRP): 1990 Public Use Microdata Sample Areas (PUMA) Boundary Files. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4QN64NG. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
RIS (Others)

* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.

† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.

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