U.S. youth unemployment rate: seasonally adjusted, February 2019

Monthly youth (16-24) unemployment rate in the United States from February 2018 to February 2019 (seasonally adjusted)

U.S. youth unemployment rate: seasonally adjusted, February 2019 This statistic displays the seasonally-adjusted unemployment rate among persons between 16 and 24 years 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. Youth unemployment stood at 8.9 percent in February 2019. Unemployment rate by state can be found here, and the annual national unemployment rate can be found here.
Youth unemployment in the United States

The United States Bureau of Labor Statistics track unemployment of persons between the ages of 16 and 24 years each month. In analyzing the data, the Bureau of Labor Statistics performed a seasonal adjustment—removing seasonal influences from the time series, such that one month’s rate of unemployment could be analyzed in comparison with another month’s rate of unemployment.

During the period in question, youth unemployment ranged from a high of 9.1 percent in January 2019, to a low of 8.1 percent in November 2018.

The national youth unemployment rate can be compared to the annual national unemployment rate in the United States. In 2018, annual US unemployment was at 3.9 percent, down from 9.6 percent unemployment in 2010. Additionally, as of January 2019, Alaska had the highest state unemployment rate of all U.S. states, at 6.5 percent unemployment.
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Monthly youth (16-24) unemployment rate in the United States from February 2018 to February 2019 (seasonally adjusted)

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Unemployment rate
Feb '198.9%
Jan '199.1%
Dec '188.7%
Nov '188.1%
Oct '188.3%
Sep '188.5%
Aug '188.4%
Jul '188.6%
Jun '188.9%
May '188.6%
Apr '188.4%
Mar '188.5%
Feb '189%
Unemployment rate
Feb '198.9%
Jan '199.1%
Dec '188.7%
Nov '188.1%
Oct '188.3%
Sep '188.5%
Aug '188.4%
Jul '188.6%
Jun '188.9%
May '188.6%
Apr '188.4%
Mar '188.5%
Feb '189%
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This statistic displays the seasonally-adjusted unemployment rate among persons between 16 and 24 years 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. Youth unemployment stood at 8.9 percent in February 2019. Unemployment rate by state can be found here, and the annual national unemployment rate can be found here.
Youth unemployment in the United States

The United States Bureau of Labor Statistics track unemployment of persons between the ages of 16 and 24 years each month. In analyzing the data, the Bureau of Labor Statistics performed a seasonal adjustment—removing seasonal influences from the time series, such that one month’s rate of unemployment could be analyzed in comparison with another month’s rate of unemployment.

During the period in question, youth unemployment ranged from a high of 9.1 percent in January 2019, to a low of 8.1 percent in November 2018.

The national youth unemployment rate can be compared to the annual national unemployment rate in the United States. In 2018, annual US unemployment was at 3.9 percent, down from 9.6 percent unemployment in 2010. Additionally, as of January 2019, Alaska had the highest state unemployment rate of all U.S. states, at 6.5 percent unemployment.
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Release date
March 2019
Region
United States
Survey time period
February 2018 to February 2019
Age group
16-24 years
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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