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Unemployment level - seasonally adjusted monthly number in the USA

 

Monthly number of unemployed persons in the U.S. from April 2012 to April 2013 (in millions, adjusted)

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United States; 16 years and older; April 2012 to April 2013 Source: Bureau of Labor Statistics


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This statistic displays the seasonally adjusted unemployment level in the USA 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 decreased to about 11.65 million unemployed persons in April 2013. The unemployment rate was at 7.5 percent in April 2013. The monthly unemployment rate can be found here.

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Statistic Information
 
close Markets and sectors
Society , Politics & Economy
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Survey time period April 2012 to April 2013
Object of investigation Seasonally adjusted monthly number of unemployed persons
Region United States
Macroregion North-America only
Type time series
Category other
Relevance 4
Age group 16 years and older
Release
Published by Bureau of Labor Statistics
Source link  Get Free Basic Account
Release date May 2013
Cataloging
Tags economy, employer, full-time, job seekers, labor force, labor market, looking for work, men, number of unemployed, unemployed, unemployment rate, unemployment rate, unemployment rates
Top tags unemployment, unemployed persons
Markets and sectors Society, Politics & Economy
Further information 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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