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County Business Patterns Database

Resource Type
  • Eckert, Fabian (Princeton University)
  • Fort, Teresa C. (Dartmouth College)
  • Schott, Peter K. (Yale School of Management)
  • Yang, Natalie J. (Chicago Booth School of Business)
Publication Date
  • Abstract

    The County Business Patterns data published by the US Census Bureau track employment by county and industry from 1946 to the present. Two features of the data limit their usefulness to researchers in practice: employment for the majority of county-industry cells is suppressed to protect confidentiality; and industry classifications change over time. We address both issues. First, we develop a linear programming method that exploits the large set of adding-up constraints implicit in the hierarchical arrangement of the data to impute missing employment. Second, we provide concordances to map all data to a consistent set of industry codes.

    In this repository, we provide the original CBP data and the imputed data files for all years from 1977 to 2016. We also provide industry concordances for the various SIC and NAICS vintages.

    Github Repo with imputation codes:

Temporal Coverage
  • 1977-01-01 / 2016-01-01
    Time Period: Sat Jan 01 00:00:00 EST 1977--Fri Jan 01 00:00:00 EST 2016 (1977 to 2016)
Geographic Coverage
  • United States Counties
Collection Mode
  • The data were published by the County Business Pattern program at the U.S. Census Bureau.

  • Cites
    DOI: 10.3386/w26632 (Text)
  • Eckert, Fabian, Teresa Fort, Peter Schott, and Natalie Yang. “Imputing Missing Values in the US Census Bureau’s County Business Patterns.” Cambridge, MA: National Bureau of Economic Research, January 2020.
    • ID: 10.3386/w26632 (DOI)

Update Metadata: 2020-01-31 | Issue Number: 1 | Registration Date: 2020-01-31

Eckert, Fabian; Fort, Teresa C.; Schott, Peter K.; Yang, Natalie J. (2020): County Business Patterns Database. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.