Fewer separated in mass layoffs in most regions
June 02, 2004
Seven of the nine geographic regional divisions had over-the-year decreases in the number of initial unemployment insurance claims associated with mass layoffs.
The largest percent decreases were in the West North Central and East South Central divisions, while the Middle Atlantic division had the largest over-the-year increase.
Among the States, Ohio reported the largest over-the-year decrease in the number of initial claims, followed by Indiana, Minnesota, and Georgia. The largest over-the-year increases occurred in New York and California. The latter two States are parts of the Middle Atlantic division and the Pacific division, respectively.
These data are from the Mass Layoff Statistics program. Mass layoffs data for April 2004 are preliminary and subject to revision. See the full release, "Mass Layoffs in April 2004" (PDF) (TXT), USDL 04-964, for more information. A mass layoff event is defined as 50 or more initial claims for unemployment insurance benefits filed against an establishment during a 5-week period, regardless of duration.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Fewer separated in mass layoffs in most regions on the Internet at https://www.bls.gov/opub/ted/2004/jun/wk1/art02.htm (visited August 04, 2020).
Recent editions of Spotlight on Statistics
- Using BLS Data to Match People with Disabilities with Jobs Presents data that can help increase access and opportunity for people with disabilities in the nation’s labor market.
- How Women and Aging Affect Trends in Labor Force Growth Examines how women’s labor force participation and the aging of the U.S. population affect trends in labor force growth.
- Meal Appeal: Patterns of Expenditures on Food away from Home
Examines spending on food away from home, such as meals or snacks from restaurants, vending machines, employer cafeterias, or other venues.
- Job Flexibilities and Work Schedules in 2017–18
Examines data on job flexibilities, such as working at home, flexible schedules, and shift work.