February 25, 2013
Real average hourly earnings for all employees rose 0.2 percent from December 2012 to January 2013, seasonally adjusted. The increase in real average hourly earnings resulted from a 0.2-percent increase in average hourly earnings combined with an unchanged Consumer Price Index for All Urban Consumers (CPI-U).
|Date||All employees||Production and nonsupervisory employees|
Real average weekly earnings for all employees rose 0.1 percent over the month because of the increase in real average hourly earnings combined with an unchanged average workweek. Since a recent low in October 2012, real average weekly earnings have increased 1.3 percent.
Real average hourly earnings for production and nonsupervisory employees rose 0.3 percent from December 2012 to January 2013, seasonally adjusted. The increase resulted from a 0.3-percent increase in average hourly earnings combined with an unchanged Consumer Price Index for Urban Wage Earners and Clerical Workers (CPI-W).
Real average weekly earnings for production and nonsupervisory employees were unchanged over the month. Since reaching a low in October 2012, real average weekly earnings have increased 1.2 percent.
These earnings data are from the Current Employment Statistics program. Earnings data for December 2012 and January 2013 are preliminary. To learn more, see “Real Earnings — January 2013” (HTML) (PDF), news release USDL-13-0284. The CPI-U and the CPI-W are produced by the Consumer Price Index program and are used to deflate the all employees and the production and nonsupervisory earnings data.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Real earnings in January 2013 on the Internet at http://www.bls.gov/opub/ted/2013/ted_20130225.htm (visited February 09, 2016).
Employment and Wages in Healthcare Occupations
Healthcare occupations are a significant percentage of U.S. employment. Some of the largest and highest paying occupations are in healthcare. This Spotlight examines employment and wages for healthcare occupations.
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.