This statistic shows the seasonally adjusted number of employees in the United States. 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. In January 2019, about 156.69 million people were employed in the United States.
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Monthly employment level of the United States from January 2018 to January 2019 (in millions, seasonally adjusted)
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This statistic shows the seasonally adjusted number of employees in the United States. 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. In January 2019, about 156.69 million people were employed in the United States.
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This statistic shows the seasonally adjusted number of employees in the United States. 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. In January 2019, about 156.69 million people were employed in the United States.
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- Release date
- February 2019
- Region
- United States
- Survey time period
- January 2018 to January 2019
- Age group
- 16 years and older
- Special properties
- Full-time and part-time employees
- Supplementary notes
- Seasonal adjustment is a statistical method for removing the seasonal component of a time series used when analyzing non-seasonal trends.
More information
- Region
- United States
- Survey time period
- January 2018 to January 2019
- Age group
- 16 years and older
- Special properties
- Full-time and part-time employees
- Supplementary notes
- 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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