This statistic displays the seasonally adjusted unemployment rate of men in the United States on a monthly basis. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends. The unemployment rate among male adults was at 4.1 percent in January 2019. The unemployment rate for both genders can be found here.
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Monthly unemployment rate of men in the United States from January 2018 to January 2019 (seasonally adjusted)
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This statistic displays the seasonally adjusted unemployment rate of men in the United States on a monthly basis. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends. The unemployment rate among male adults was at 4.1 percent in January 2019. The unemployment rate for both genders can be found here.
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This statistic displays the seasonally adjusted unemployment rate of men in the United States on a monthly basis. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends. The unemployment rate among male adults was at 4.1 percent in January 2019. The unemployment rate for both genders can be found here.
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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
- Supplementary notes
- Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends. It is normal to report un-adjusted data for current unemployment rates, as these reflect the actual current situation. Seasonally adjusted data may be used for the longer term comparison. Unlike the trend and cyclical components, seasonal components, theoretically, happen with similar magnitude during the same time period each year. The seasonal component of a series are often considered to be uninteresting in their own right and to cause the interpretation of a series to be ambiguous. By removing the seasonal component, it is easier to focus on other components.
More information
- Region
- United States
- Survey time period
- January 2018 to January 2019
- Age group
- 16 years and older
- Supplementary notes
- Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends. It is normal to report un-adjusted data for current unemployment rates, as these reflect the actual current situation. Seasonally adjusted data may be used for the longer term comparison. Unlike the trend and cyclical components, seasonal components, theoretically, happen with similar magnitude during the same time period each year. The seasonal component of a series are often considered to be uninteresting in their own right and to cause the interpretation of a series to be ambiguous. By removing the seasonal component, it is easier to focus on other components.
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Further Content: Statistics, Studies, and Topic Pages
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- U.S. male unemployment rate: unadjusted January 2019
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- Unemployment level of men: unadjusted monthly number in the U.S. January 2019
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Free statistics
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- Unemployment figures in the United Kingdom (UK) from 2000 to 2018 (in million people)
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- Youth unemployment rate in the United Kingdom (UK) from 2000 to 2017 (16-17 years old)
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- Youth unemployment rate by gender in the United Kingdom (UK) from 2000 to 2017 (18-24 year-olds)
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- Youth unemployment figures (18-24 years old) in the United Kingdom (UK) from 2000 to 2018 (in 1,000)
- Youth unemployment figures (18-24 years old) in the United Kingdom (UK) from 2000 to 2017, by gender (in 1,000)
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- 50 plus unemployment figures in the United Kingdom (UK) from 2000 to 2017 (in 1,000s)
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- Annual average youth (16-24) unemployment rate in the United States in 2012, by state
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- Monthly youth unemployment rate in the United Kingdom (UK) from January 2015 to November 2018 (18-24 years old)
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