Education and usual weekly earnings for women and men, second quarter 2009
July 17, 2009
Full-time workers age 25 and over without a high school diploma had median, or 50th percentile, weekly earnings of $465 compared with $630 for high school graduates (no college). Workers with bachelor's degrees had earnings of $1,031, and those with advanced degrees, $1,332.
Earnings varied between men and women. Men without a high school diploma had median weekly earnings of $503, while women without a diploma had median weekly earnings of $387. For high school graduates, median weekly earnings of men were $714, for women, $550. Among workers with bachelor's degrees, men had median weekly earnings of $1,209, women, $882.
Among college graduates with advanced degrees (professional or master's degree and above), the highest earning 10 percent of male workers, those at the 90th percentile, made $3,434 or more per week, compared with $2,130 or more for their female counterparts.
These data are from the Current Population Survey and are not seasonally adjusted. More information can be found in "Usual Weekly Earnings of Wage and Salary Workers: Second Quarter 2009" (HTML) (PDF) news release 09-0814.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Education and usual weekly earnings for women and men, second quarter 2009 on the Internet at https://www.bls.gov/opub/ted/2009/jul/wk2/art05.htm (visited December 19, 2018).
Recent editions of Spotlight on Statistics
- Workers in Alternative Employment Arrangements
A look at independent contractors, on-call workers, temporary help agency workers, and workers provided by contract firms.
- Labor force characteristics of people with a disability
Examines the labor force characteristics of people with a disability and compares them with the characteristics of people with no disability.
- A Look at Contingent Workers
Examines people who do not expect their jobs to last or who report that their jobs are temporary.
- Race, Economics, and Social Status
Examines Consumer Expenditure Survey data to explore social and economic factors by race and ethnicity.