Displacement rates for blue-collar and white-collar workers more similar in recent years
September 16, 1999
In the mid-1990s, the displacement rate for blue-collar workers was much closer to the white-collar rate than it was a decade earlier.
Displacement rates for blue-collar workers were 5.7 percent in 1983-84 and 4.7 percent in 1985-86. The corresponding rates for white-collar workers were 2.1 percent in 1983-84 and 2.6 percent in 1985-86, for an average difference of nearly three percentage points in the 1983-86 period.
In 1993-96, the rates for the two occupational groups were less than a percentage point apart on average. The displacement rates for blue-collar workers were 4.2 percent in 1993-94 and 3.5 percent in 1995-96, compared to rates for white-collar workers of 3.3 percent and 2.9 percent, respectively.
Worker displacement rates represent the likelihood of being displaced from a job. The rates cited here are for "long-tenured workers"—those who were in their jobs for 3 years or longer. Displaced workers lose their jobs because their plants or companies close down or move, their positions or shifts are abolished, or their employers do not have enough work for them to do.
These data are from supplements to the Current Population Survey. Find more information on displacement rates in "Worker displacement in the mid-1990s," by Steven Hipple, Monthly Labor Review, July 1999.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Displacement rates for blue-collar and white-collar workers more similar in recent years on the Internet at http://www.bls.gov/opub/ted/1999/sept/wk3/art04.htm (visited November 28, 2015).
Recent editions of Spotlight on Statistics
Fifty years of looking at changes in peoples lives
Longitudinal surveys help us understand long-term changes, such as how events that happened when a person was in high school affect labor market success as an adult.
- A look at pay at the top, the bottom, and in between
The Spotlight examines how earnings and wages have changed over time and how they differ within a geographic area, industry, or occupation.