Business Employment Dynamics Home Page

Business Employment Dynamics is a set of statistics generated from the




Business Employment Dynamics is
a set of statistics generated from the Quarterly Census of
Employment and Wages program. These quarterly data
series consist of gross job gains and gross job losses statistics
from 1992 forward. These data help to provide a picture of the
dynamic state of the labor market.

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Gross job gains 7.3 million and gross job losses 7.3 million in the 3rd quarter of 2019


04/29/2020

In the third quarter of 2019, gross job gains from opening and expanding private-sector establishments
were 7.3 million. Gross job losses from closing and contracting private-sector establishments were 7.3
million.

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Current

  • Quarterly Data on Business Employment Dynamics (HTML) (PDF) — this release includes updates for the private sector as a whole and for firm size classes.
  • Quarterly Data From BLS on Business Employment Dynamics by State (TXT) (PDF) — State-level Business Employment Dynamics.
  • Firm Size Class Quarterly Data (HTML) (PDF) — this initial release of firm size class data includes analysis of data series that begin in 1992.
  • County Employment and Wages (HTML)
    (PDF)
  • Subscribe to the BLS News Service — receive the Quarterly Data on Business Employment Dynamics news releases by e-mail.

Archived

 

Databases

 

More Tools

  • Series Report —Already know the series identifier for the statistic you want? Use this shortcut to retrieve your data.
  • Flat files FTP Site —For those who want it all. Download a flat file of the entire database or large subset of the database.

 

 

  • Akbar Sadeghi, Carol Leming, James Spletzer, and David Talan, “The Role of Younger and Older Business Establishments in the U.S. Labor Market.” August 2010 Issues in Labor Statistics
  • Jessica Helfand, “All firm sizes hit hard during the current recession.” March 2010 Issues in Labor Statistics
  • Sheryl L. Konigsberg, James R. Spletzer, David M. Talan, “Business employment dynamics: tabulations by size of employment change.” April 2009 Monthly Labor Review
  • Akbar Sadeghi, “The births and deaths of business establishments in the United States.” December 2008 Monthly Labor Review
  • Zhi Boon, Charles M. Carson, R. Jason Faberman, and Randy E. Ilg, “Studying the labor market using BLS labor dynamics data.” February 2008 Monthly Labor Review
  • Amy E. Knaup and Merissa C. Piazza, “Business Employment Dynamics data: survival and longevity, II” September 2007 Monthly Labor Review
  • Sheryl Konigsberg, “The Geospatial Distribution of Employment: A New Visual Asset.” March 2007 Monthly Labor Review
  • Jessica Helfand, Akbar Sadeghi and David Talan, “Employment Dynamics: Small and Large Firms Over the Business Cycle.” March 2007 Monthly Labor Review
  • Cordelia Okolie, “Why Size Class Methodology Matters in Analyses of Net and Gross Job Flows.” July 2004 Monthly Labor Review
  • James R. Spletzer, R. Jason Faberman, Akbar Sadeghi, David M. Talan, and Richard L. Clayton, “Business Employment Dynamics: New Data on Gross Job Gains and Losses.” April 2004 Monthly Labor Review
  • Joshua Pinkston and James Spletzer, “Annual Measures of Job Creation and Job Destruction Created from Quarterly Microdata.”
  • Timothy R. Pivetz, Michael A. Searson, and James R. Spletzer, “Measuring Job and Establishment Flows with BLS Longitudinal Microdata.” April 2001 Monthly Labor Review

 

 

With the processing of fourth quarter 2014 BED data, BLS implemented a new statistical matching process used in
the longitudinal linking of Quarterly Census of Employment and Wages (QCEW) data. Tabulations from this quarter
forward will reflect this new methodology. For additional details on this new methodology, please see the article “A
Simplified Approach to Administrative Record Linkage in the Quarterly Census of Employment and Wages”
available at: http://www.bls.gov/osmr/research-papers/2014/pdf/st140020.pdf.

Additionally, all historical BED series back to third quarter 1992 have been revised with the release of first quarter 2015 data, for both seasonally adjusted and not seasonally adjusted series, to incorporate an administrative change in scope. These revisions are primarily due to the reclassification of a number of establishments from private households (NAICS 814110) to services for the elderly and persons with disabilities (NAICS 624120). Private households are not within the scope of BED and, as a result, those establishments impacted by this industry reclassification are now within scope.

  • Assessing the Timeliness of Business Births in BLS Establishment Statistics (PDF 71K)

 

Other BLS Programs

  • Quarterly Census of Employment and Wages — a quarterly count of employment and wages reported by employers covering 98 percent of U.S. jobs, available at the county, metropolitan area, state and national levels by industry.
  • Employment, Hours, and Earnings from the CES survey (National) — monthly national data by detailed industry on employment, hours, and earnings of workers on the payrolls of nonfarm establishments.
  • Employment, Hours, and Earnings from the CES survey (State and Area) — monthly data on employment, hours, and earnings by industry and geographic area.

Other Useful Links

 

Office of Employment and Unemployment
Statistics
Business Employment Dynamics
Suite 4840
2
Massachusetts Ave, NE
Washington, DC 20212-0001

 

 




Latest Numbers

Gross Job Gains:


Total Private
7,605,000 in 2nd Qtr of 2019


Historical Data


Goods-Producing
1,363,000 in 2nd Qtr of 2019


Historical Data


Service-providing
6,242,000 in 2nd Qtr of 2019


Historical Data

Gross Job Losses:


Total Private
7,423,000 in 2nd Qtr of 2019


Historical Data


Goods-Producing
1,342,000 in 2nd Qtr of 2019


Historical Data


Service-Providing
6,081,000 in 2nd Qtr of 2019


Historical Data

Number of establishments gaining jobs:


Total Private
2,058,000 in 2nd Qtr of 2019


Historical Data


Goods-Producing
322,000 in 2nd Qtr of 2019


Historical Data


Service-Providing
1,736,000 in 2nd Qtr of 2019


Historical Data


Total Private
2,102,000 in 2nd Qtr of 2019


Historical Data


Goods-Producing
335,000 in 2nd Qtr of 2019


Historical Data


Service-Providing
1,767,000 in 2nd Qtr of 2019


Historical Data

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