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Handbook of Methods Employment Projections Data sources

Employment Projections: Data sources

This is an archived page. To see the latest version, please visit Employment Projections: Data sources.

As a nonsurvey program, Employment Projections (EP) is fundamentally different from most other U.S. Bureau of Labor Statistics (BLS) programs. Instead of collecting primary source data through surveys or censuses, EP relies predominantly on publicly available data that are produced by other BLS programs and other government offices. In addition, BLS uses data accessed through a contract with Macroeconomic Advisers by IHS Markit.

BLS data

EP makes extensive use of BLS datasets in its projections. Data from the Current Population Survey (CPS) are used in the labor force, industry, and occupational employment projections. Current Employment Statistics (CES) data are also used to project industry employment, as are data from the Quarterly Census of Employment and Wages (QCEW). Occupational Employment and Wage Statistics (OEWS) data are used to project occupational employment.

Census data

EP bases labor force projections on long-term demographic projections published by the U.S. Census Bureau.

Bureau of Economic Analysis data

EP relies on the Bureau of Economic Analysis (BEA) for the final demand and intermediate output data. The main BEA data sources are the national income and product accounts (NIPAs), the benchmark and annual input-output accounts, the International Transaction Accounts, and the Gross Output by Industry accounts.

Other sources: government

Due to the specific nature of some industries, EP also uses additional sources to estimate their historic and projected data, such as energy historical and outlook information from the Energy Information Administration (EIA) and the Non-Accelerating Rate of Unemployment (NAIRU) from the Congressional Budget Office.

Other sources: private

BLS also contracts with Macroeconomic Advisers by IHS Markit for use of the MA/US macroeconomic model, which contains a large number of data series and models that are integral to the EP production process.

Using all these sources, EP analysts construct a historical time series of final demand, commodity output, industry output, and industry employment. At each stage, analysts review all time series for outliers and adjust them where necessary using analyst discretion based on qualitative and statistical assessments of the relative reliability of conflicting data. Similar review processes are used for projected data. Major data sources are listed in exhibit 1 below.

Exhibit 1. Dataset components used to construct employment projections
DataSourceMain useLocation

BEA Gross Output tables

BEAInput-output and final demand preparation/projectionhttps://www.bea.gov/data/industries/gross-output-by-industry

BEA Input-Output tables

BEAInput-output and final demand preparation/projectionhttps://www.bea.gov/data/industries/input-output-accounts-data

BEA International Transaction Accounts

BEAFinal demand preparation/projectionhttps://www.bea.gov/data/intl-trade-investment/international-transactions

BEA NIPA tables

BEAFinal demand preparation/projectionhttps://www.bea.gov/data/gdp/gross-domestic-product

Employment, hours, and wages

BLS/CESIndustry output and employment preparation/projectionhttps://www.bls.gov/ces/

Labor force statistics, employment, and hours

BLS/CPSLabor force data and industry output and employment preparation/projectionhttps://www.bls.gov/cps/

Occupational staffing patterns

BLS/OEWSOccupational employment preparation/projectionhttps://www.bls.gov/oes/

Employment and wages

BLS/QCEWIndustry output and employment preparation/projectionhttps://www.bls.gov/cew/

Population projections 

Census Labor force data preparation and projection https://www.census.gov/programs-surveys/popproj.html 

MA/US model

Macroeconomic Advisers by IHS MarkitMacroeconomy data preparation/projectionhttps://www.spglobal.com/marketintelligence/en/mi/products/us-economic-modeling-forecasting-services.html
Last Modified Date: September 06, 2023