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Unemployment level of men: seasonally adjusted monthly number in the U.S. 2018/2019
Monthly number of unemployed men in the United States from August 2018 to August 2019 (in millions, seasonally adjusted)
by Erin Duffin,
last edited
Sep 6, 2019
This statistic shows the seasonally adjusted unemployment level 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. About 3.23 million men aged 16 years or older were unemployed in August 2019.
Monthly number of unemployed men in the United States from August 2018 to August 2019 (in millions, seasonally adjusted)
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by Erin Duffin,
last edited
Sep 6, 2019
This statistic shows the seasonally adjusted unemployment level 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. About 3.23 million men aged 16 years or older were unemployed in August 2019.
- Show sources information
- Show publisher information
- Release date
- September 2019
- Region
- United States
- Survey time period
- August 2018 to August 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.
Source
- Show sources information
- Show publisher information
- Release date
- September 2019
More information
- Region
- United States
- Survey time period
- August 2018 to August 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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