Monthly real average hourly earnings for all employees in the U.S. 2018/19

Real average hourly earnings for all employees in the United States from February 2018 to February 2019

Monthly real average hourly earnings for all employees in the U.S. 2018/19 This statistic shows the real average hourly earnings of all employees in the United States, by month. The data have been seasonally adjusted. The deflators used for constant-dollar earnings shown here come from the Consumer Price Indexes Programs. The Consumer Price Index for All Urban Employees (CPI-U) is used to deflate the data for all employees. In February 2019, the average hourly earnings was at 10.93 U.S. dollars.
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Real average hourly earnings for all employees in the United States from February 2018 to February 2019

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Real earnings in U.S. dollars
Feb '19*10.93
Jan '19*10.9
Dec '1810.89
Nov '1810.85
Oct '1810.8
Sep '1810.81
Aug '1810.79
Jul '1810.77
Jun '1810.76
May '1810.75
Apr '1810.74
Mar '1810.74
Feb '1810.73
Real earnings in U.S. dollars
Feb '19*10.93
Jan '19*10.9
Dec '1810.89
Nov '1810.85
Oct '1810.8
Sep '1810.81
Aug '1810.79
Jul '1810.77
Jun '1810.76
May '1810.75
Apr '1810.74
Mar '1810.74
Feb '1810.73
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Description

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This statistic shows the real average hourly earnings of all employees in the United States, by month. The data have been seasonally adjusted. The deflators used for constant-dollar earnings shown here come from the Consumer Price Indexes Programs. The Consumer Price Index for All Urban Employees (CPI-U) is used to deflate the data for all employees. In February 2019, the average hourly earnings was at 10.93 U.S. dollars.
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Release date
March 2019
Region
United States
Survey time period
February 2018 to February 2019
Age group
16 years and older
Supplementary notes
* Preliminary data.

Employed persons consist of: persons who did any work for pay or profit during the survey reference week; persons who did at least 15 hours of unpaid work in a family-operated enterprise; and persons who were temporarily absent from their regular jobs because of illness, vacation, bad weather, industrial dispute, or various personal reasons.
Seasonal adjustment is a statistical method for removing the seasonal component of a time series used when analyzing non-seasonal trends.
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