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U.S. unemployment level - seasonally adjusted monthly number July 2019
Monthly number of unemployed persons in the U.S. from July 2018 to July 2019 (in millions, adjusted)
by Erin Duffin,
last edited
Aug 2, 2019
This statistic displays the seasonally adjusted unemployment level 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 national unemployment level stood at about 6.06 million unemployed persons in July 2019.
Monthly number of unemployed persons in the U.S. from July 2018 to July 2019 (in millions, adjusted)
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by Erin Duffin,
last edited
Aug 2, 2019
This statistic displays the seasonally adjusted unemployment level 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 national unemployment level stood at about 6.06 million unemployed persons in July 2019.
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- Release date
- August 2019
- Region
- United States
- Survey time period
- July 2018 to July 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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Source
- Show sources information
- As a Premium user you get access to the detailed source references and background information about this statistic.
- Show publisher information
- Release date
- August 2019
More information
- Region
- United States
- Survey time period
- July 2018 to July 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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