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Archive of Census Related Products (ACRP)

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  • Collection Overview
  • Data Sets (11)
    • Boundary Files, v1 (1980 – 1992)
    • Census Block Statistics, v1 (1990)
    • Enhanced Migration Files, v1 (1985 – 1990)
    • Public Use Microdata Sample Areas (PUMA) Boundary Files, v1 (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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Boundary Files, v1 (1980 – 1992)

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  • Metadata
Purpose:
To provide county and state boundary data for the U.S.
Abstract:
The 1992 Boundary Files portion of the Archive of Census Related Products (ACRP) consists of 1992 boundary data from the U.S. Census Bureau's Topologically Integrated Geographic Encoding and Referencing (TIGER) system. The data have been processed to create the state boundary files for county, county subdivision (mcd), place, 1990 tract/block numbering area, blockgroup, and 1980 tract and mcd's (if available). The tract and blockgroup files are grouped by MSA (Metropolitan Statistical Area) and CMSA (Consolidated Metropolitan Statistical Area). County boundary files have also been created for each census block, distinguished by its unique POLygon IDentification (POLID) field, matching the corresponding POLID in the 1990 Summary Tape File (STF) data. 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): 1992 Boundary Files. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H47P8W9V. 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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