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 Series Title: Washington: U-6 Total unemployed, plus all marginally attached workers, plus total employed part-time for economic reasons: 4 Quarter Average Percent: Alternative Measures of Labor Underutilization
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 2003 04  8412·9
 2004 04 4711.6
 2005 04  9810·1
 2006 04 709.4
 2007 04  228·8
 2008 04 1410.4
 2009 01  811·9
 2009 02  9613.5
 2009 03  5214·7
 2009 04  516·2
 2010 01 4417·2
 2010 02 4617·4
 2010 03 2318.1
 2010 04 018.4
 2011 01  1918·4
 2011 02  6418.7
 2011 03  1118.5
 2011 04  717·8
 2012 01 7117.6


 2012 02 1917.0
 2012 03 1717.1
 2012 04 5816.9
 2013 01  6216.4
 2013 02  515.7
 2013 03  6614.8
 2013 04  914.0
 2014 01 8113·3
 2014 02 4112.8
 2014 03 812·4
 2014 04 4112·5
 2015 01  4012·0
 2015 02  7111.7
 2015 03  1811.4
 2015 04  6211·0
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Similar Series

All series: 4 Quarter Average Percent

U-1 Persons unemployed 15 weeks or longer
U-2 Job losers and persons who completed temporary jobs
U-3 Total unemployed
U-4 Total unemployed plus discouraged workers
U-5 Total unemployed, plus discouraged workers, plus all other marginally attached workers
U-6 Total unemployed, plus all marginally attached workers, plus total employed part-time for economic reasons



 Series Title: Washington: U-6 Total unemployed, plus all marginally attached workers, plus total employed part-time for economic reasons: 4 Quarter Average Percent: Alternative Measures of Labor Underutilization
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Similar Data:

     US Unemployment Data by Type of Employee
     Unemployment Data by State: Seasonally Adjusted
     Unemployment Data by State
     Unemployment Data by MSA/City
     All 9,000+ Unemployment Rate Series
     Employment and Unemployment Rate Lists; by State, or City

Want state and city building permits data? Click here for California and then find your own.

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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