New seasonally adjusted mass layoffs statistics
February 28, 2005
Beginning with the release underlying this article, the Bureau of Labor Statistics is now publishing seasonally adjusted mass layoff data. In January 2005, employers took 1,457 mass layoff actions as measured, after seasonal adjustment, by new filings for unemployment insurance benefits during the month.
Each action involved at least 50 persons from a single establishment, and the number of workers involved totaled 150,990, on a seasonally adjusted basis.
The number of layoff events rose by 246 from December and was the highest for any month since January 2004. The number of initial claims due to mass layoff actions grew by 31,341 over the month and was the highest for any month since October 2003.
Seasonal adjustment accounts for the effects of events that follow a more or less regular pattern each year, making it easier to observe the cyclical and other nonseasonal movements in a time series. Six mass layoff series are being seasonally adjusted—the number of layoff events and the number of associated initial claims for unemployment insurance for the total, the private nonfarm sector, and the manufacturing sector.
These data are from the Mass Layoff Statistics program. Mass layoffs data for December 2004 and January 2005 are preliminary and subject to revision. To learn more, see "Mass Layoffs in January 2005" (PDF) (TXT), news release USDL 05-307.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, New seasonally adjusted mass layoffs statistics on the Internet at http://www.bls.gov/opub/ted/2005/feb/wk4/art01.htm (visited October 07, 2015).
Recent editions of Spotlight on Statistics
New estimates of personal taxes in Consumer Expenditure Survey
In 2013, the Consumer Expenditure Survey improved its personal tax data.
Trends in long-term unemployment
Long-term unemployment reached historically high levels following the recession of 2007–2009.
Housing: before, during, and after the Great Recession
looks at consumer expenditures on household items, employment in residential construction, prices for household items, and injuries in occupations involved in building and maintaining our homes.