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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
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page 
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 2003 04  110.1
 2004 04 289.6
 2005 04  968.9
 2006 04 168.2
 2007 04  208·3
 2008 04 4410.5
 2009 01  2512·1
 2009 02  2913.7
 2009 03  615.2
 2009 04  5916·2
 2010 01 5416.7
 2010 02 4216·8
 2010 03 816·8
 2010 04 5416·7
 2011 01  9816·5
 2011 02  9616·3
 2011 03  216.2
 2011 04  3615·9
 2012 01 9315·6
 2012 02 6315·3
 2012 03 8915·0
 2012 04 3714.7
 2013 01  314·5
 2013 02  3614·3
 2013 03  9314.1
 2013 04  1213.8
 2014 01 1513.4
 2014 02 3412·9
 2014 03 6612.5
 2014 04 4412.0
 2015 01  4211.6
 2015 02  211·3
 2015 03  8310·8
 2015 04  3910·4
 2016 01 2310·1
 2016 01 810·2
 2016 01 4310.2
 2016 01 2910.4
 2016 01 2010·5
 2016 01 4610·7
 2016 01 7310·7
 2016 01 7110·8
 2016 01 2110·9
 2016 01 3710.9
 2016 01 2311.0
 2016 01 4611·0
 2016 01 3811·0
 2016 01 2311.0
 2016 01 6811·2
 2016 01 6111·2
 2016 01 1111·2
 2016 01 7511.2
 2016 01 911·6
 2016 01 4811·7
 2016 01 111·9
 2016 01 8512.0
 2016 01 7112·0
 2016 01 6212·4
 2016 01 9713.4
 2016 01 745·3
 2016 01 45.4
 2016 01 876.6
 2016 01 126·9
 2016 01 867·4
 2016 01 847·5
 2016 01 287.7
 2016 01 838.0
 2016 01 898·0
 2016 01 128·1
 2016 01 178·3
 2016 01 738.3
 2016 01 788.3
 2016 01 128·4
 2016 01 108.5
 2016 01 708·7
 2016 01 728.8
 2016 01 348.8
 2016 01 909.0
 2016 01 879·0
 2016 01 159.1
 2016 01 569·2
 2016 01 639·3
 2016 01 629·5
 2016 01 769·6
 2016 01 769·7
 2016 01 619.8
 2016 02 5810·0
 2016 02 4910·0
 2016 02 2010.2
 2016 02 4010.3
 2016 02 6310·3
 2016 02 5410.5
 2016 02 3810.6
 2016 02 8210.6
 2016 02 9010.6
 2016 02 3410.7
 2016 02 710.8
 2016 02 9310·9
 2016 02 7611.0
 2016 02 6011.1
 2016 02 2611·1
 2016 02 611.2
 2016 02 8411.3
 2016 02 2411.4
 2016 02 2111.7
 2016 02 7611·9
 2016 02 212.4
 2016 02 4613·1
 2016 02 415·0
 2016 02 865.7
 2016 02 446.2
 2016 02 707·0
 2016 02 637·2
 2016 02 427.3
 2016 02 477·8
 2016 02 667·8
 2016 02 887·8
 2016 02 768.1
 2016 02 748·2
 2016 02 278.2
 2016 02 398·3
 2016 02 448·4
 2016 02 128.4
 2016 02 738.5
 2016 02 688.5
 2016 02 298.7
 2016 02 768·7
 2016 02 478.8
 2016 02 508·8
 2016 02 369·0
 2016 02 29.3
 2016 02 209.4
 2016 02 869·5
 2016 02 979.6
 2016 02 539·6
 2016 02 849.8
 2016 02 09·8
 2016 02 699·9
 2016 03 1810·0
 2016 03 6010.1
 2016 03 4410.1
 2016 03 3410·1
 2016 03 910.3
 2016 03 9110.4
 2016 03 9210·4
 2016 03 9810.5
 2016 03 6510.5
 2016 03 4610.6
 2016 03 4510·7
 2016 03 9310·7
 2016 03 4710.9
 2016 03 2011.0
 2016 03 2911·0
 2016 03 7611.1
 2016 03 4511.3
 2016 03 3111.6
 2016 03 9312·5
 2016 03 2712.5
 2016 03 7013·0
 2016 03 254·8
 2016 03 146·0
 2016 03 556.0
 2016 03 616·9
 2016 03 697·2
 2016 03 917·4
 2016 03 907·6
 2016 03 817·7
 2016 03 597·8
 2016 03 517.9
 2016 03 898·0
 2016 03 178·0
 2016 03 138·1
 2016 03 428.1
 2016 03 348.2
 2016 03 838.3
 2016 03 758.6
 2016 03 418·6
 2016 03 318·8
 2016 03 168·8
 2016 03 158·8
 2016 03 498.9
 2016 03 129·0
 2016 03 799.1
 2016 03 279·5
 2016 03 909.6
 2016 03 349.6
 2016 03 609.7
 2016 03 299.8
 2016 03 159·8
 2016 03 789·8
 2016 04 7210.1
 2016 04 6710·1
 2016 04 9910·3
 2016 04 5110·3
 2016 04 5410.3
 2016 04 810.3
 2016 04 4310·4
 2016 04 8510.5
 2016 04 6710.6
 2016 04 4810·7
 2016 04 7210.8
 2016 04 3610·8
 2016 04 9910·9
 2016 04 611·0
 2016 04 3611.0
 2016 04 8611.3
 2016 04 6412.2
 2016 04 2412·6
 2016 04 1112.8
 2016 04 415.2
 2016 04 06·2
 2016 04 746.2
 2016 04 986·4
 2016 04 337·1
 2016 04 697·2
 2016 04 487.3
 2016 04 217.5
 2016 04 197·5
 2016 04 597·5
 2016 04 677·7
 2016 04 317·8
 2016 04 817·8
 2016 04 837·9
 2016 04 738·1
 2016 04 48.1
 2016 04 258.2
 2016 04 798·3
 2016 04 378·3
 2016 04 408.5
 2016 04 828·6
 2016 04 118·7
 2016 04 529·1
 2016 04 639·2
 2016 04 109·4
 2016 04 649.4
 2016 04 389·4
 2016 04 269·5
 2016 04 899.6
 2016 04 549.7
 2016 04 389·7
 2016 04 29.7
 2016 04 289.7
 2017 01  1710·0
 2017 01  2210.0
 2017 01  9310·0
 2017 01  5610.1
 2017 01  1710.3
 2017 01  8410.3
 2017 01  2310·5
 2017 01  3210·5
 2017 01  4110·6
 2017 01  4310.6
 2017 01  4410.9
 2017 01  3611.1
 2017 01  211·9
 2017 01  4412·9
 2017 01  3013·0
 2017 01  755·7
 2017 01  386·2
 2017 01  556.2
 2017 01  826·4
 2017 01  816·8
 2017 01  136.9
 2017 01  707·1
 2017 01  267·1
 2017 01  107.2
 2017 01  137·4
 2017 01  97·7
 2017 01  117·7
 2017 01  457.7
 2017 01  527.7
 2017 01  167.8
 2017 01  137.8
 2017 01  918·1
 2017 01  688.3
 2017 01  608·3
 2017 01  338·5
 2017 01  818.6
 2017 01  238·8
 2017 01  358.8
 2017 01  969·0
 2017 01  719·1
 2017 01  69·2
 2017 01  609.2
 2017 01  529.4
 2017 01  429.5
 2017 01  299.5
 2017 01  799.5
 2017 01  779·6
 2017 01  29·7
 2017 01  319.7
 2017 01  629·8
 2017 01  719·8
 2017 01  829·9
 2017 02  7310.0
 2017 02  310.1
 2017 02  5910·3
 2017 02  3810.4
 2017 02  4510·4
 2017 02  2010·5
 2017 02  9210.7
 2017 02  5211·5
 2017 02  5812.6
 2017 02  5813.1
 2017 02  465.7
 2017 02  326·0
 2017 02  526·1
 2017 02  876·3
 2017 02  206·4
 2017 02  86.6
 2017 02  886·8
 2017 02  996·8
 2017 02  406·8
 2017 02  377·1
 2017 02  547.2
 2017 02  157.3
 2017 02  567·5
 2017 02  17.5
 2017 02  647.6
 2017 02  797·7
 2017 02  447·8
 2017 02  68.3
 2017 02  568.3
 2017 02  598.4
 2017 02  58.4
 2017 02  848·4
 2017 02  928.4
 2017 02  508.8
 2017 02  639·0
 2017 02  939·0
 2017 02  609·0
 2017 02  719.0
 2017 02  699·1
 2017 02  129·2
 2017 02  739.2
 2017 02  659.2
 2017 02  989.5
 2017 02  509.5
 2017 02  699.5
 2017 02  39.5
 2017 02  529·7
 2017 02  379·8
 2017 02  109·8
 2017 02  799·9
 2017 02  549.9
 2017 02  309.9
 2017 03  8610·0
 2017 03  1110.0
 2017 03  5610.0
 2017 03  1110·3
 2017 03  811.4
 2017 03  4311·9
 2017 03  3212.6
 2017 03  875·3
 2017 03  156.2
 2017 03  456·3
 2017 03  856·3
 2017 03  896.3
 2017 03  696.5
 2017 03  116.5
 2017 03  376·5
 2017 03  746.9
 2017 03  586.9
 2017 03  606.9
 2017 03  417·0
 2017 03  247·1
 2017 03  957.2
 2017 03  377.3
 2017 03  727·4
 2017 03  447.5
 2017 03  197.8
 2017 03  97.9
 2017 03  298.0
 2017 03  678·1
 2017 03  918.1
 2017 03  738·2
 2017 03  398·3
 2017 03  508.4
 2017 03  18·6
 2017 03  458·6
 2017 03  518.6
 2017 03  748·7
 2017 03  608·8
 2017 03  728·9
 2017 03  419.0
 2017 03  459.3
 2017 03  69·3
 2017 03  219.4
 2017 03  109·4
 2017 03  969·4
 2017 03  49.5
 2017 03  879·5
 2017 03  839.5
 2017 03  839·6
 2017 03  399.6
 2017 03  909·8
 2017 03  109.9
 2017 03  879.9
 2017 04  2610.1
 2017 04  7310·2
 2017 04  6610·8
 2017 04  1611.3
 2017 04  213·2
 2017 04  55.3
 2017 04  536·0
 2017 04  06·1
 2017 04  306·2
 2017 04  816.2
 2017 04  946.3
 2017 04  976·4
 2017 04  996·5
 2017 04  196·5
 2017 04  426.5
 2017 04  886·9
 2017 04  206·9
 2017 04  657.0
 2017 04  717·1
 2017 04  807·1
 2017 04  317.1
 2017 04  867.4
 2017 04  817.4
 2017 04  57·7
 2017 04  977·8
 2017 04  787·9
 2017 04  997·9
 2017 04  188·0
 2017 04  48.0
 2017 04  598.1
 2017 04  738·2
 2017 04  28.2
 2017 04  658·2
 2017 04  738.3
 2017 04  818·3
 2017 04  648·5
 2017 04  198.6
 2017 04  908.8
 2017 04  228.8
 2017 04  359.1
 2017 04  289.1
 2017 04  39·2
 2017 04  219·2
 2017 04  719.2
 2017 04  809.2
 2017 04  339.4
 2017 04  299·5
 2017 04  559.5
 2017 04  889·7
 2017 04  229·7
 2017 04  219.8
 2017 04  929·8
 2018 01 9010.1
 2018 01 4110·4
 2018 01 9810·5
 2018 01 1513.5
 2018 01 485.1
 2018 01 835·7
 2018 01 855·8
 2018 01 816.1
 2018 01 516·1
 2018 01 676·1
 2018 01 336·2
 2018 01 706.3
 2018 01 126·3
 2018 01 386.4
 2018 01 176·5
 2018 01 896.7
 2018 01 696·8
 2018 01 646.8
 2018 01 367.1
 2018 01 717.2
 2018 01 837.4
 2018 01 417·5
 2018 01 187·5
 2018 01 727·6
 2018 01 447·6
 2018 01 867.6
 2018 01 117·7
 2018 01 737.7
 2018 01 647·8
 2018 01 447.9
 2018 01 928.0
 2018 01 818.1
 2018 01 818·1
 2018 01 858.1
 2018 01 618.3
 2018 01 288.3
 2018 01 588·6
 2018 01 28·6
 2018 01 438·7
 2018 01 708.7
 2018 01 829.0
 2018 01 159.0
 2018 01 889.0
 2018 01 899.1
 2018 01 689·1
 2018 01 679.2
 2018 01 739·3
 2018 01 929.3
 2018 01 529·3
 2018 01 289.4
 2018 01 979.6
 2018 01 109.7
 2018 02 9710.4
 2018 02 9213·0
 2018 02 865·1
 2018 02 05.5
 2018 02 925·7
 2018 02 785·7
 2018 02 896.1
 2018 02 436.1
 2018 02 486·2
 2018 02 316.2
 2018 02 846.2
 2018 02 476.2
 2018 02 66·2
 2018 02 186.6
 2018 02 696·6
 2018 02 426.7
 2018 02 266·9
 2018 02 367·1
 2018 02 717.2
 2018 02 867.2
 2018 02 977.3
 2018 02 27·5
 2018 02 397.5
 2018 02 607·5
 2018 02 317.6
 2018 02 617·6
 2018 02 507.7
 2018 02 717.8
 2018 02 687·9
 2018 02 818.0
 2018 02 38.0
 2018 02 508·1
 2018 02 698.1
 2018 02 588.3
 2018 02 248·3
 2018 02 558.3
 2018 02 228.3


 2018 02 108·7
 2018 02 638·7
 2018 02 658.7
 2018 02 418·8
 2018 02 828.8
 2018 02 968·9
 2018 02 908·9
 2018 02 639·0
 2018 02 419·0
 2018 02 239·1
 2018 02 599·2
 2018 02 529.2
 2018 02 849.7
 2018 02 709·8
 2018 02 309.8
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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