Real earnings in February 2013
March 19, 2013
Real average hourly earnings for all employees fell 0.6 percent from January to February, seasonally adjusted, as a 0.2-percent increase in average hourly earnings was more than offset by a 0.7-percent increase in the Consumer Price Index for All Urban Consumers (CPI-U).
Real average weekly earnings fell 0.2 percent over the month, resulting from the decrease in real average hourly earnings combined with a 0.3-percent increase in the average workweek.
Over the year (February 2012 to February 2013), real average hourly earnings rose 0.1 percent, seasonally adjusted. The increase in real average hourly earnings combined with a 0.3-percent decrease in the average workweek resulted in a 0.2-percent decrease in real average weekly earnings during the past 12 months.
These earnings data are from the Current Employment Statistics program. Earnings data for January and February are preliminary and subject to revision. To learn more, see “Real Earnings — February 2013” (HTML) (PDF), news release USDL-13-0426. The Consumer Price Index for All Urban Consumers from the Consumer Price Indexes program is used to deflate the all employees data.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Real earnings in February 2013 on the Internet at https://www.bls.gov/opub/ted/2013/ted_20130319.htm (visited August 11, 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.