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County Business Patterns

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County Business Patterns
NameCounty Business Patterns
ProducerUnited States Census Bureau
First release1964
FrequencyAnnual
Geographic scopeUnited States
SubjectEstablishments, employment, payroll
ClassificationNorth American Industry Classification System

County Business Patterns is an annual statistical series published by the United States Census Bureau that tabulates establishment counts, employment, and payroll for counties, metropolitan areas, and states across the United States. It supplies standardized, place-based measures used by researchers, planners, and firms to analyze industrial structure, local labor markets, and regional development. The series is widely cited in publications by the Bureau of Labor Statistics, Federal Reserve System, World Bank, and academic journals such as American Economic Review and Journal of Regional Science.

Overview

County Business Patterns provides tabular summaries of private-sector and selected public-sector economic activity down to county and subcounty levels, using establishment-level administrative records and survey data. The series interfaces with classification systems such as the North American Industry Classification System (NAICS) and supports spatial linking to geographies maintained by agencies like the Office of Management and Budget and the Census Bureau's statistical area delineations. Major users include the Economic Development Administration, Small Business Administration, state departments of commerce, and metropolitan planning organizations, which employ CBP for site selection, grant allocation, and trend analysis.

Data Collection and Methodology

Data for County Business Patterns are derived primarily from the Census Bureau’s Business Register and administrative payroll records from the Internal Revenue Service and Unemployment Insurance programs administered by state workforce agencies. The Census Bureau integrates these sources using establishment identifiers and employer tax identifiers such as the Employer Identification Number, and applies procedures similar to those used in the Longitudinal Employer-Household Dynamics (LEHD) program for establishment attribution. Sampling and imputation methods are informed by standards articulated in technical documents released alongside decennial programs like the Economic Census. Confidentiality protections mirror those used in census product releases influenced by the Confidential Information Protection and Statistical Efficiency Act standards.

Variables and Classification

Core variables published include number of establishments, number of employees (usually payroll employees), and annual or first-quarter payroll totals. Industry coding follows the North American Industry Classification System with concordances to earlier systems such as the Standard Industrial Classification for longitudinal comparisons. Geographic coding aligns with Federal Information Processing Standards (FIPS) county identifiers and ties to metropolitan definitions promulgated by the Office of Management and Budget. Supplementary tabulations sometimes include firm-size classes and turnover measures compatible with datasets like the Business Dynamics Statistics.

Uses and Applications

Researchers in regional science and urban studies use County Business Patterns to estimate industry concentration, location quotients, and employment multipliers alongside data from the Bureau of Economic Analysis and the Bureau of Labor Statistics. Private-sector analysts at consultancies such as McKinsey & Company and Deloitte leverage CBP for market sizing and competitive analysis. Local policymakers, including state governors’ offices and county economic development agencies, use CBP to target workforce training programs in coordination with Department of Labor initiatives and to evaluate the impact of incentives tracked in state reports. Academics studying industrial clustering cite CBP in analyses published in outlets like Regional Studies and Economic Geography.

Limitations and Accuracy

Users should be cautious about disclosure suppression applied to protect business confidentiality, which can lead to suppressed cells at fine industry-geography combinations; these protections echo methods used by the Census Bureau across censuses and surveys. Time-series comparisons may be affected by NAICS revisions and by changes in administrative reporting practices at the Internal Revenue Service and state workforce agencies. Small-area estimates are particularly sensitive to establishment misclassification and reporting lags, challenges that also affect programs such as Quarterly Census of Employment and Wages. Margin-of-error information provided for sample-based components should be consulted when combining CBP with model-based estimates from the Small Area Income and Poverty Estimates program.

Historical Development and Changes

The County Business Patterns series traces its lineage to mid-20th-century federal statistical modernization efforts and was systematized as an annual series in the 1960s, contemporaneous with revisions to the Standard Industrial Classification system. Major updates aligned CBP reporting with NAICS in the late 1990s and early 2000s, reflecting trilateral coordination among the United States, Canada, and Mexico under initiatives connected to the North American Free Trade Agreement. Over time, methodological refinements incorporated administrative-payroll sources and interoperability with longitudinal products like LEHD, mirroring broader federal moves toward integrated business statistics described in National Research Council reports.

Accessibility and Data Products

County Business Patterns tables are disseminated via the Census Bureau’s data dissemination platforms and are accessible to the public alongside technical documentation and CSV extracts. Data users often link CBP with spatial shapefiles maintained by the TIGER/Line program and with economic accounts from the Bureau of Economic Analysis to produce maps and interactive dashboards. Secondary data aggregations and visualizations appear in repositories hosted by universities such as Harvard University’s dataverse and by data services like IPUMS and the Federal Reserve Economic Data (FRED) system. Researchers seeking microdata analogues consult restricted-access files under Federal Statistical Research Data Center arrangements.

Category:United States economic data