# Employment and Unemployment Statistics

**Agency:** Labor  
**Account:** Employment and Unemployment Statistics  
**Source document:** Bureau of Labor Statistics · p. 9  
**Vintage:** President's Budget PB2027  
**Canonical URL:** https://hitchintel.com/budget/labor/employment-and-unemployment-statistics  

> **Trust:** parsed from the agency Congressional Justification. Approximate, **not summable**, verify at the cited page.

## Funding ($M)

| Fiscal year | Basis | Amount |
| --- | --- | --- |
| FY2025 | enacted | 249.2 |
| FY2026 | enacted | 252.0 |
| FY2027 | request | 230.4 |

## Labor discretionary budget authority (OMB PBDB — authoritative)

FY2027 $10.30B, FY2026 $13.70B. This is the agency total, not a sum of the parsed lines.


## What this funds

and Producer Price Index. The QCEW program is responsible for maintaining the accuracy of address, and other information that directly affects the quality of the survey programs' samples. In addition, the BLS uses data from this program as the annual employment benchmark by industry in the CES, OEWS, OSHS, and JOLTS programs. Total wages and salaries from the QCEW program compose about 48 percent of Personal Income, as measured by the BEA, for the nation, states, and counties. The QCEW wage data are the largest single input to the Personal Income component of the National Income and Product Accounts. QCEW data also underlie state UI actuarial systems (tax rates, employer contributions, and benefit levels). Other uses include state and local labor force information, industry trends, forecasting, transportation planning, local economic development planning, and allocation of $692 billion in FY 2021 in federal funds under such programs as the State Children's Health Insurance Program. Economic research, regional analysis, marketing studies by private industry, industry analysis, and worksite location studies are further uses of data from this program. The rich industry and geographic detail--all 6-digit NAICS industries by county--makes these among the most prized data for state and local implementation of the statutory requirements. QCEW also shares data with the BEA, the Census Bureau, the Employment and Training Administration (ETA), National Oceanic and Atmospheric Administration, and other agencies to assist with their ongoing production and special studies. For example, each quarter, QCEW provides hundreds of thousands of industry codes to the Census Bureau for mostly new and small businesses, which improves data quality and decreases respondent burden and costs for the Census Bureau. QCEW data also are the basis for the BLS Business Employment Dynamics series. These series cover gross job gains and losses, data on establishment age and survival, and firm size. In addition, the series include data on establishment births, openings and expansions; and deaths, closings and contractions, by major industry and state. QCEW data also are used to prepare maps and tabulations of the economic impacts of natural disasters for state and federal officials, and are used on an ongoing basis to document recovery efforts in affected areas. In addition, there is a wide array of uses at the state level. For example, decision-makers use QCEW data as an input into the state and local occupational employment projects and for revenue projections. Workforce information boards use QCEW data for job training. QCEW data also assist local economic developers in identifying occupational needs for attracting businesses. States also rely on QCEW data to conduct longitudinal analyses of firms, cluster analysis (e.g., and high and low wage industries), and high growth business analyses; plan for local services and local transportation; determine wage rates; and define UI extended benefit triggers. ' The SWAs, in cooperation with the BLS, collect employment and wage data from an estimated 12 million establishments subject to UI laws. The UI data are supplemented with two BLS collections, the Multiple Worksite Report (MWR) and Annual Refiling Survey (ARS), which are necessary to provide accurate industry and geographical measures at the local level. First, in the MWR, each quarter, over 149,000 multi-unit firms (representing more than 1.9 million worksites and about 42 percent of the employment) report their employment and wages for each establishment, which improves the geographic and industrial accuracy of these key data. Second, in the ARS, the SWAs


**Where it sits:** Civilian / Non-Defense › Labor › Bureau of Labor Statistics › Employment and Unemployment Statistics


*HitchAI is an independent intelligence service, not affiliated with the U.S. government. Civilian line dollars are parsed from agency Congressional Justifications and are approximate.*