Real average hourly and weekly earnings in May 2014
June 19, 2014
In May 2014, the 12-month change in real average hourly earnings for all employees was -0.1 percent; in May 2013, it was 0.6. The 12-month change in real average weekly earnings was also -0.1 percent in May 2014; a year earlier it was 0.9 percent. The May 2014 declines in real average hourly and weekly earnings resulted from a 2.1-percent increase in average earnings offset by a 2.1-percent increase in the Consumer Price Index for All Urban Consumers (CPI-U).
|Month||Real average hourly earnings||Real average weekly earnings||CPI-U|
In April 2014, real average hourly earnings were unchanged over the year; real average weekly earnings were up 0.3 percent in the 12 months from April 2013 to April 2014, while the 12-month change in the CPI-U in April 2014 was 2.0 percent.
In March 2014 the 12-month changes in both real average hourly and real average weekly earnings were 0.6 percent, while the 12-month change in the CPI-U in March 2014 was 1.5.
These data are from the Current Employment Statistics program. Data for the most recent 2 months are preliminary. To learn more, see “Real Earnings — May 2014” (HTML) (PDF), news release USDL-14-1136. Information from the Consumer Price Index program is used to adjust the earnings estimates for inflation.
Bureau of Labor Statistics, U.S. Department of Labor, The Economics Daily, Real average hourly and weekly earnings in May 2014 on the Internet at http://www.bls.gov/opub/ted/2014/ted_20140619.htm (visited October 02, 2014).
Three recent editions of Spotlight on Statistics
Housing: before, during, and after the Great Recession
looks at consumer expenditures on household items, employment in residential construction, prices for household items, and injuries in occupations involved in building and maintaining our homes.
Women veterans in the labor force examines the demographic, employment, and unemployment characteristics of women veterans.
BLS Statistics by Occupation provides an overview of occupational employment and wages with an emphasis on STEM jobs and occupational data by typical entry-level education required.