This database system comprehensively organizes the complete geographic codes and affiliated information of U.S. "Core Based Statistical Areas (CBSA)" and "Combined Statistical Areas (CSA)". It includes two core data tables:
- U.S. CBSA/CSA County and City Affiliations, detailing codes, names, affiliated states, counties, and central/outlying county classifications for each CBSA/CSA;
- Directory of Principal Cities in U.S. Core Based Statistical Areas, listing principal cities within each statistical area along with their corresponding FIPS state and place codes.
Data originates from publicly available U.S. statistical geographic classification systems, systematically organized and annotated bilingually to provide standardized geographic coding support for research on U.S. regional economies, population distribution, and urban development.
Data Features
- Comprehensive Coverage and Clear Hierarchy: Data encompasses all U.S. core statistical areas (including metropolitan and micropolitan statistical areas) and combined statistical areas, providing county/city-level affiliations to facilitate multi-level geographic aggregation and analysis.
- Complete Coding System for Seamless Integration: Includes multiple standard geographic codes such as CBSA codes, CSA codes, and FIPS state/county codes, enabling interoperability with U.S. Census, economic statistics, and other public datasets to enhance data integration efficiency.
- Bilingual Fields for Broad Applicability: All critical fields feature Chinese-English bilingual annotations, catering to domestic researchers while supporting international data exchange and collaboration.
- Structured Format for Direct Database Import: Data tables are pre-structured to support one-click import into common statistical software or database systems, reducing user data cleaning and preparation time.
Data Application Value
- Regional Economic and Social Science Research: Scholars can leverage this data for studies on U.S. urbanization, regional economic linkages, and labor market delineation, enabling precise analytical unit definition and enhancing spatial comparability.
- Business Decision-Making and Market Analysis: Enterprises can utilize statistical area divisions for market sizing, store location planning, and advertising zone optimization, leveraging official statistical frameworks to improve decision-making rigor and targeting.
- Cross-Regional Comparison and Policy Evaluation: Government and research institutions can conduct socio-economic indicator comparisons across CBSAs, supporting regional development policy assessments or urban agglomeration development pattern studies.
- Data Integration and Visualization Foundation: As standardized geographic coding data, it can be integrated with socio-economic indicators (e.g., GDP, employment, population mobility) to build map visualizations or spatial analysis models, facilitating comprehensive research reports and data product development.
CnOpenData’s U.S. CBSA Geographic Code Data systematically integrates complete geographic information for U.S. core and combined statistical areas in a multilingual format, combining authoritative reference value with practical utility. Whether for academic research, commercial analysis, or public policy formulation, this dataset enables efficient and precise geographic identification and statistical analysis at the U.S. regional level, serving as an essential foundational tool for understanding U.S. urban and regional systems.
Time Period
July 2023 Version
Field Display
Sample Data
U.S. CBSA/CSA County and City Affiliation Table
Directory of Principal Cities in U.S. Core Based Statistical Areas
Data Update Frequency
Annual Updates