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Monthly average hourly earnings of U.S. nonfarm payroll employees February 2019

Monthly average earnings per hour of all employees in the United States from February 2018 to February 2019 (in U.S. dollars)

Monthly average hourly earnings of U.S. nonfarm payroll employees February 2019 This statistic shows the average hourly earnings of all employees in the United States, by month. The data have been seasonally adjusted. Employed persons are employees on nonfarm payrolls and 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. In February 2019, the average hourly earnings for all employees on private nonfarm payrolls stood at 27.66 U.S. dollars.
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Monthly average earnings per hour of all employees in the United States from February 2018 to February 2019 (in U.S. dollars)

Earnings in U.S. dollars
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Earnings in U.S. dollars
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This statistic shows the average hourly earnings of all employees in the United States, by month. The data have been seasonally adjusted. Employed persons are employees on nonfarm payrolls and 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. In February 2019, the average hourly earnings for all employees on private nonfarm payrolls stood at 27.66 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
Special properties
Full-time and part-time employees
Supplementary notes
Data are seasonally adjusted.
* Preliminary data
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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