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 Series Title: United States: 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  |  Source  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2003 04  6010·1
 2004 04 869·6
 2005 04  918.9
 2006 04 858.2
 2007 04  18·3
 2008 04 7410·5
 2009 01  4112.1
 2009 02  7013.7
 2009 03  815·2
 2009 04  6116.2
 2010 01 9316.7
 2010 02 5416·8
 2010 03 3216.8
 2010 04 2816·7
 2011 01  5816.5
 2011 02  8116·3
 2011 03  4816·2
 2011 04  8215·9
 2012 01 7515.6
 2012 02 2015.3
 2012 03 5715.0
 2012 04 5414.7
 2013 01  714.5
 2013 02  6414.3
 2013 03  8314·1
 2013 04  113·8
 2014 01 4113·4
 2014 02 3412.9
 2014 03 7812.5
 2014 04 512·0
 2015 01  9011.6
 2015 02  7411.3
 2015 03  1610·8
 2015 04  7210.4
 2016 01 9210.1
 2016 01 5210.2
 2016 01 9910.2
 2016 01 3410·4
 2016 01 1110.5
 2016 01 6210.7
 2016 01 5110·7
 2016 01 4810·8
 2016 01 3410.9
 2016 01 2510.9
 2016 01 2311.0
 2016 01 9511·0
 2016 01 7411.0
 2016 01 8311.0
 2016 01 9011.2
 2016 01 8211.2
 2016 01 6811·2
 2016 01 611·2
 2016 01 5211·6
 2016 01 4011·7
 2016 01 8011.9
 2016 01 8912.0
 2016 01 3612.0
 2016 01 2712·4
 2016 01 9813.4
 2016 01 505·3
 2016 01 915·4
 2016 01 236.6
 2016 01 356·9
 2016 01 337·4
 2016 01 937·5
 2016 01 367.7
 2016 01 278·0
 2016 01 88.0
 2016 01 428.1
 2016 01 968.3
 2016 01 398.3
 2016 01 698·3
 2016 01 648·4
 2016 01 628·5
 2016 01 588.7
 2016 01 348·8
 2016 01 98·8
 2016 01 149.0
 2016 01 979.0
 2016 01 499·1
 2016 01 529.2
 2016 01 599.3
 2016 01 959.5
 2016 01 829·6
 2016 01 949·7
 2016 01 289·8
 2016 02 1310.0
 2016 02 2710.0
 2016 02 6010·2
 2016 02 7910.3
 2016 02 3910·3
 2016 02 410.5
 2016 02 010.6
 2016 02 9310·6
 2016 02 8710·6
 2016 02 5610·7
 2016 02 9110·8
 2016 02 7610·9
 2016 02 9511.0
 2016 02 5411.1
 2016 02 3111.1
 2016 02 6111.2
 2016 02 2511.3
 2016 02 9011.4
 2016 02 4811.7
 2016 02 311·9
 2016 02 6612·4
 2016 02 8413.1
 2016 02 915·0
 2016 02 855·7
 2016 02 296·2
 2016 02 807.0
 2016 02 357·2
 2016 02 137.3
 2016 02 547.8
 2016 02 477.8
 2016 02 817.8
 2016 02 188.1
 2016 02 38·2
 2016 02 808·2
 2016 02 548·3
 2016 02 598.4
 2016 02 638·4
 2016 02 988.5
 2016 02 58.5
 2016 02 158·7
 2016 02 498·7
 2016 02 448·8
 2016 02 98·8
 2016 02 949.0
 2016 02 969.3
 2016 02 899.4
 2016 02 669·5
 2016 02 279·6
 2016 02 709.6
 2016 02 259.8
 2016 02 39.8
 2016 02 719·9
 2016 03 5710·0
 2016 03 7210.1
 2016 03 6810.1
 2016 03 810·1
 2016 03 7010·3
 2016 03 7510.4
 2016 03 3810·4
 2016 03 4410.5
 2016 03 4710.5
 2016 03 210.6
 2016 03 1310·7
 2016 03 1010·7
 2016 03 5110.9
 2016 03 4811·0
 2016 03 1911.0
 2016 03 6511.1
 2016 03 7111·3
 2016 03 3211·6
 2016 03 512.5
 2016 03 8912·5
 2016 03 1813·0
 2016 03 974.8
 2016 03 486·0
 2016 03 886.0
 2016 03 316.9
 2016 03 137·2
 2016 03 477.4
 2016 03 957.6
 2016 03 727·7
 2016 03 757·8
 2016 03 287·9
 2016 03 668.0
 2016 03 308·0
 2016 03 18·1
 2016 03 418·1
 2016 03 828.2
 2016 03 188·3
 2016 03 358.6
 2016 03 638.6
 2016 03 518.8
 2016 03 738·8
 2016 03 478·8
 2016 03 928.9
 2016 03 59·0
 2016 03 589·1
 2016 03 309·5
 2016 03 559.6
 2016 03 989.6
 2016 03 619.7
 2016 03 49.8
 2016 03 19·8
 2016 03 149·8
 2016 04 9510.1
 2016 04 1410.1
 2016 04 710·3
 2016 04 5910·3
 2016 04 9810·3
 2016 04 2710·3
 2016 04 7310·4
 2016 04 6510.5
 2016 04 3310.6
 2016 04 3910.7
 2016 04 2410.8
 2016 04 8810.8
 2016 04 8810.9
 2016 04 6811·0
 2016 04 1011·0
 2016 04 911·3
 2016 04 7512.2
 2016 04 5912·6
 2016 04 812·8
 2016 04 365·2
 2016 04 326.2
 2016 04 806.2
 2016 04 166.4
 2016 04 07.1
 2016 04 237·2
 2016 04 277.3
 2016 04 617·5
 2016 04 597.5
 2016 04 357.5
 2016 04 177·7
 2016 04 937·8
 2016 04 927.8
 2016 04 817.9
 2016 04 958·1
 2016 04 888·1
 2016 04 88·2
 2016 04 998·3
 2016 04 318·3
 2016 04 458.5
 2016 04 378·6
 2016 04 528·7
 2016 04 189·1
 2016 04 919·2
 2016 04 369·4
 2016 04 289·4
 2016 04 759.4
 2016 04 759.5
 2016 04 889.6
 2016 04 399.7
 2016 04 479.7
 2016 04 739.7
 2016 04 989·7
 2017 01  2410.0
 2017 01  410·0
 2017 01  8610.0
 2017 01  9810·1
 2017 01  4610.3
 2017 01  3810·3
 2017 01  3810·5
 2017 01  4610.5
 2017 01  9210.6
 2017 01  6910.6
 2017 01  8110.9
 2017 01  2211·1
 2017 01  7511.9
 2017 01  4112.9
 2017 01  8913.0
 2017 01  335.7
 2017 01  336·2
 2017 01  246.2
 2017 01  636.4
 2017 01  116.8
 2017 01  296·9
 2017 01  117·1
 2017 01  287.1
 2017 01  127.2
 2017 01  517·4
 2017 01  227.7
 2017 01  357·7
 2017 01  187.7
 2017 01  127·7
 2017 01  17.8
 2017 01  607·8
 2017 01  378.1
 2017 01  508.3
 2017 01  168.3
 2017 01  18.5
 2017 01  988·6
 2017 01  278·8
 2017 01  638·8
 2017 01  869·0
 2017 01  609·1
 2017 01  329.2
 2017 01  609·2
 2017 01  649·4
 2017 01  39·5
 2017 01  779.5
 2017 01  519·5
 2017 01  119.6
 2017 01  359.7
 2017 01  09·7
 2017 01  69.8
 2017 01  269·8
 2017 01  869.9
 2017 02  6510.0
 2017 02  1910.1
 2017 02  3610·3
 2017 02  1510·4
 2017 02  5810·4
 2017 02  810·5
 2017 02  9210·7
 2017 02  111.5
 2017 02  9412·6
 2017 02  1813.1
 2017 02  675·7
 2017 02  526·0
 2017 02  96·1
 2017 02  186·3
 2017 02  636·4
 2017 02  06.6
 2017 02  676.8
 2017 02  36.8
 2017 02  56·8
 2017 02  17·1
 2017 02  557·2
 2017 02  917·3
 2017 02  437·5
 2017 02  377.5
 2017 02  877.6
 2017 02  267·7
 2017 02  537·8
 2017 02  148.3
 2017 02  18·3
 2017 02  788·4
 2017 02  358.4
 2017 02  648.4
 2017 02  588.4
 2017 02  418·8
 2017 02  159·0
 2017 02  449·0
 2017 02  489.0
 2017 02  339·0
 2017 02  439.1
 2017 02  369.2
 2017 02  839.2
 2017 02  09.2
 2017 02  959·5
 2017 02  459·5
 2017 02  19.5
 2017 02  109.5
 2017 02  709.7
 2017 02  49.8
 2017 02  649.8
 2017 02  579·9
 2017 02  949·9
 2017 02  699.9
 2017 03  6210·0
 2017 03  6110.0
 2017 03  1810.0
 2017 03  2210.3
 2017 03  611·4
 2017 03  6511·9
 2017 03  1612·6
 2017 03  705·3
 2017 03  346.2
 2017 03  396·3
 2017 03  906.3
 2017 03  446.3
 2017 03  106·5
 2017 03  776·5
 2017 03  656·5
 2017 03  16.9
 2017 03  216.9
 2017 03  986.9
 2017 03  917.0
 2017 03  227·1
 2017 03  817.2
 2017 03  467·3
 2017 03  437·4
 2017 03  157.5
 2017 03  267·8
 2017 03  917·9
 2017 03  228·0
 2017 03  108.1
 2017 03  208·1
 2017 03  268.2
 2017 03  548·3
 2017 03  648·4
 2017 03  528·6
 2017 03  708.6
 2017 03  888·6
 2017 03  608·7
 2017 03  328·8
 2017 03  698·9
 2017 03  09·0
 2017 03  39·3
 2017 03  19·3
 2017 03  909.4
 2017 03  919·4
 2017 03  269.4
 2017 03  209·5
 2017 03  289·5
 2017 03  859·5
 2017 03  849.6
 2017 03  789.6
 2017 03  29·8
 2017 03  349.9
 2017 03  619.9
 2017 04  8610·1
 2017 04  5710·2
 2017 04  1210·8
 2017 04  6111.3
 2017 04  8413·2
 2017 04  615·3
 2017 04  216.0
 2017 04  176·1
 2017 04  346.2
 2017 04  96·2
 2017 04  846.3
 2017 04  866·4
 2017 04  246.5
 2017 04  196.5
 2017 04  546·5
 2017 04  496·9
 2017 04  676·9
 2017 04  377·0
 2017 04  57.1
 2017 04  137.1
 2017 04  17·1
 2017 04  307·4
 2017 04  377.4
 2017 04  97.7
 2017 04  887.8
 2017 04  947.9
 2017 04  767·9
 2017 04  958.0
 2017 04  178.0
 2017 04  468.1
 2017 04  738·2
 2017 04  518·2
 2017 04  08.2
 2017 04  328.3
 2017 04  28.3
 2017 04  858·5
 2017 04  768.6


 2017 04  218.8
 2017 04  658.8
 2017 04  279.1
 2017 04  79·1
 2017 04  79·2
 2017 04  869·2
 2017 04  359.2
 2017 04  819.2
 2017 04  89.4
 2017 04  169.5
 2017 04  919.5
 2017 04  109·7
 2017 04  699.7
 2017 04  309·8
 2017 04  09.8
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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: United States: 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

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