Monthly unemployment rate in the United States from October 2016 to October 2017 (seasonally-adjusted)

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Unemployment rate
Oct '164.8%
Nov '164.6%
Dec '164.7%
Jan '174.8%
Feb '174.7%
Mar '174.5%
Apr '174.4%
May '174.3%
Jun' 174.4%
July '174.3%
Aug' 174.4%
Sep '174.2%
Oct '174.1%

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This statistic displays the seasonally-adjusted unemployment rate in the United States on a monthly basis. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends. National unemployment was at 4.1 percent in October 2017.
U.S. monthly unemployment rate

According to the Bureau of Labor Statistics—the principle fact-finding agency for the U.S. Federal Government in labor economics and statistics—unemployment declined from 2010 to 2016. Unemployment fell from 8.20 percent in July 2012 to 4.7 percent in December 2016. Unemployment decreased from 2015 to 2016, following a trend of decreasing unemployment since a high in 2010 resulting from the 2008 financial crisis.

Additional statistics from the BLS paint an interesting picture of unemployment in the United States. In September 2017, the state with the highest (seasonally adjusted) unemployment rate was Alaska with a 7.2 percent unemployment rate, followed by District of Columbia and New Mexico. Unemployment was the lowest in North Dakota at 2.4 percent. Workers in the agriculture and related industries suffered the highest unemployment rate of any industry at 6.9 percent as of April 2017 (not seasonally adjusted), followed by workers in the leisure and hospitality industry with a rate of 5.9 percent.
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Release date
November 2017
United States
Survey time period
October 2016 to October 2017
Age group
16 years and older
Supplementary notes
Seasonal adjustment is a statistical method used to remove 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 trend and cyclical components, seasonal components, theoretically, happen with similar magnitude during the same time period each year. The seasonal component of a series is often considered to be uninteresting in its own right and may 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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