BEA
Bureau of Economic Analysis
Input-output (IO) data tables are used from BEA. The data include both, 2017 detailed IO-related tables and 2022 aggregate IO-related tables.
Data Sources
Learn about the federal datasets and methodologies that power the Regional Clusters dashboards.
The dashboards draw on publicly available federal data, transformed by tested clustering methodologies. Below is a reference of every dataset used in the Regional Clusters platform.
CBP
County Business Patterns
Employment data for industry sectors comprised of North American Industry Classification System (NAICS) 6-digit level at the state level are used to develop the geographic co-location data for industry sectors. Both, 2021 and 2022 data are used.
BLS
Bureau of Labor Statistics
IO-related data are explored for IO analysis. NAICS Quarterly Census of Employment and Wages (QCEW) data are also explored for industry clusters. The National Industry Occupation Matrix (NIOM) data are used to study the occupational patterns of industry sectors. Occupations by Standard Occupation Code (SOC) developed by the BLS are used to derive the economic metrics for occupation clusters.
O*Net
Occupation Information Network
The knowledge and skills data by occupations are used to determine occupation clusters. O*Net occupations define the original set of occupation clusters that are later converted into Standard Occupation Code (SOC) or occupations available from the BLS.
IO Snap
IO Snap Model
IO Snap Model is used to study the aggregated IO-related data for the current year such as 2022.
Census
U.S. Census Bureau
NAICS 6-digit industry sectors for 2022 are used to prepare industry cluster definitions. The bridge between NAICS 2002, 2007, 2012, 2017, and 2022 are used to study the changes (merger and split) of NAICS codes at the 6-digit level. NAICS Index or detailed descriptions within each NAICS 6-digit industry sector is used to inform industry cluster definitions.
Lightcast
Lightcast, LLC
Lightcast QCEW data for industry sectors and SOC data for occupations are used to estimate jobs, location quotient (LQ), and weighted earnings for industry and occupation clusters. The LQ are derived from jobs data. Weighted annual average earnings are estimated for industry clusters and weighted average hourly earnings are estimated for occupation clusters, respectively. The data are presented only for regions or the Economic Development Districts (EDDs) of U.S. The staffing patterns data are used to inform occupation makeup of industry sectors.