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Unemployment rate of women - adjusted monthly number in the U.S.

 

Monthly unemployment rate of women in the United States from May 2012 to May 2013 (seasonally adjusted)

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United States; 16 years and older Source: Bureau of Labor Statistics


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This statistic displays the seasonally adjusted unemployment rate of women 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 rate of the female workforce stood at 7.1 percent in May 2013.

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Statistic Information
 
close Markets and sectors
Society , Politics & Economy
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Survey time period May 2012 to May 2013
Object of investigation Seasonally adjusted monthly unemployment rate of women
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 June 2013
Cataloging
Tags economy, employer, full-time, inactivity, job seekers, labor force, labor market, looking for work, seasonally adjusted, unemployed, unemployed person, unemployed persons, unemployment, unemployment rate, unemployment rate, unemployment rates, woman, women, work
Top tags women, unemployment, unemployment rate
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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