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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  3310.1
 2004 04 499.6
 2005 04  278·9
 2006 04 748.2
 2007 04  258.3
 2008 04 1410.5
 2009 01  7912.1
 2009 02  8613.7
 2009 03  8415.2
 2009 04  7716·2
 2010 01 3216·7
 2010 02 9616·8
 2010 03 5916.8
 2010 04 2116.7
 2011 01  9816·5
 2011 02  5016·3
 2011 03  2716.2
 2011 04  5115.9
 2012 01 1715·6
 2012 02 1515·3
 2012 03 8715.0
 2012 04 014.7
 2013 01  5014·5
 2013 02  8614.3
 2013 03  6514·1
 2013 04  2413.8
 2014 01 8613.4
 2014 02 8312·9
 2014 03 1112.5
 2014 04 412.0
 2015 01  3611.6
 2015 02  4911.3
 2015 03  110.8
 2015 04  4810.4
 2016 01 4110·1
 2016 01 5310·2
 2016 01 3510.2
 2016 01 8710·4
 2016 01 6110·5
 2016 01 9010·7
 2016 01 3910.7
 2016 01 7710·8
 2016 01 8510.9
 2016 01 7910·9
 2016 01 6211.0
 2016 01 111·0
 2016 01 2711.0
 2016 01 6411·0
 2016 01 8111·2
 2016 01 6411·2
 2016 01 2311.2
 2016 01 1411·2
 2016 01 9511·6
 2016 01 9911·7
 2016 01 3611·9
 2016 01 2312·0
 2016 01 3012·0
 2016 01 6212.4
 2016 01 5613·4
 2016 01 115.3
 2016 01 375·4
 2016 01 356·6
 2016 01 946.9
 2016 01 217·4
 2016 01 917·5
 2016 01 247·7
 2016 01 888·0
 2016 01 228·0
 2016 01 918.1
 2016 01 618·3
 2016 01 18·3
 2016 01 98·3
 2016 01 658·4
 2016 01 48.5
 2016 01 228·7
 2016 01 28.8
 2016 01 618.8
 2016 01 329.0
 2016 01 639·0
 2016 01 439.1
 2016 01 559.2
 2016 01 539·3
 2016 01 619.5
 2016 01 29.6
 2016 01 499·7
 2016 01 09·8
 2016 02 8110·0
 2016 02 7410·0
 2016 02 6610·2
 2016 02 2710.3
 2016 02 910·3
 2016 02 7810.5
 2016 02 5910.6
 2016 02 1710·6
 2016 02 5910·6
 2016 02 5710·7
 2016 02 110·8
 2016 02 7710·9
 2016 02 6811·0
 2016 02 8011.1
 2016 02 9311·1
 2016 02 3811.2
 2016 02 011·3
 2016 02 4311.4
 2016 02 6111.7
 2016 02 5711·9
 2016 02 4212·4
 2016 02 6313.1
 2016 02 555.0
 2016 02 155·7
 2016 02 76.2
 2016 02 867·0
 2016 02 517·2
 2016 02 207·3
 2016 02 347.8
 2016 02 807.8
 2016 02 487.8
 2016 02 28·1
 2016 02 848.2
 2016 02 408·2
 2016 02 738·3
 2016 02 198·4
 2016 02 468.4
 2016 02 848·5
 2016 02 768·5
 2016 02 528.7
 2016 02 338·7
 2016 02 578.8
 2016 02 318.8
 2016 02 79·0
 2016 02 829.3
 2016 02 289.4
 2016 02 409.5
 2016 02 179·6
 2016 02 579·6
 2016 02 919·8
 2016 02 289.8
 2016 02 379.9
 2016 03 4510·0
 2016 03 6510·1
 2016 03 4510.1
 2016 03 5110·1
 2016 03 6010·3
 2016 03 9410·4
 2016 03 6710.4
 2016 03 6310.5
 2016 03 3910·5
 2016 03 4810.6
 2016 03 9410.7
 2016 03 710·7
 2016 03 4510·9
 2016 03 2011.0
 2016 03 5111·0
 2016 03 3811·1
 2016 03 6611·3
 2016 03 3011·6
 2016 03 8912.5
 2016 03 3812.5
 2016 03 1413.0
 2016 03 224·8
 2016 03 836·0
 2016 03 146·0
 2016 03 296·9
 2016 03 657·2
 2016 03 337.4
 2016 03 977·6
 2016 03 727.7
 2016 03 537.8
 2016 03 667.9
 2016 03 458·0
 2016 03 328.0
 2016 03 58·1
 2016 03 318.1
 2016 03 388·2
 2016 03 218.3
 2016 03 668.6
 2016 03 48·6
 2016 03 848·8
 2016 03 778·8
 2016 03 48.8
 2016 03 858.9
 2016 03 139.0
 2016 03 649.1
 2016 03 159.5
 2016 03 999.6
 2016 03 849.6
 2016 03 699·7
 2016 03 159.8
 2016 03 979·8
 2016 03 769·8
 2016 04 410.1
 2016 04 5110.1
 2016 04 5510.3
 2016 04 9810·3
 2016 04 910·3
 2016 04 9110·3
 2016 04 7210.4
 2016 04 8010.5
 2016 04 4510·6
 2016 04 3010.7
 2016 04 7510.8
 2016 04 7910.8
 2016 04 110.9
 2016 04 8511·0
 2016 04 1211·0
 2016 04 7711·3
 2016 04 9012·2
 2016 04 312.6
 2016 04 6112.8
 2016 04 815.2
 2016 04 496.2
 2016 04 516.2
 2016 04 216.4
 2016 04 227·1
 2016 04 417·2
 2016 04 247.3
 2016 04 187.5
 2016 04 567·5
 2016 04 557·5
 2016 04 407.7
 2016 04 27.8
 2016 04 667·8
 2016 04 37·9
 2016 04 458·1
 2016 04 488·1
 2016 04 588·2
 2016 04 228.3
 2016 04 78.3
 2016 04 578.5
 2016 04 648·6
 2016 04 778·7
 2016 04 219·1
 2016 04 549.2
 2016 04 409.4
 2016 04 549.4
 2016 04 59·4
 2016 04 909·5
 2016 04 689.6
 2016 04 679.7
 2016 04 49.7
 2016 04 399·7
 2016 04 559·7
 2017 01  5410·0
 2017 01  8610·0
 2017 01  410·0
 2017 01  3210·1
 2017 01  7710.3
 2017 01  4710.3
 2017 01  810·5
 2017 01  5610.5
 2017 01  2410.6
 2017 01  510·6
 2017 01  210.9
 2017 01  811·1
 2017 01  911.9
 2017 01  412.9
 2017 01  6113·0
 2017 01  965.7
 2017 01  696.2
 2017 01  136.2
 2017 01  876.4
 2017 01  516·8
 2017 01  676·9
 2017 01  277·1
 2017 01  47·1
 2017 01  297·2
 2017 01  907.4
 2017 01  647.7
 2017 01  637.7
 2017 01  127·7
 2017 01  537·7
 2017 01  697.8
 2017 01  387·8
 2017 01  68·1
 2017 01  928.3
 2017 01  128·3
 2017 01  328.5
 2017 01  458.6
 2017 01  718·8
 2017 01  858·8
 2017 01  689.0
 2017 01  839·1
 2017 01  779·2
 2017 01  89.2
 2017 01  979.4
 2017 01  39.5
 2017 01  249.5
 2017 01  269·5
 2017 01  969.6
 2017 01  119·7
 2017 01  489·7
 2017 01  89.8
 2017 01  639·8
 2017 01  399.9
 2017 02  1410·0
 2017 02  4710·1
 2017 02  2510.3
 2017 02  4410·4
 2017 02  910·4
 2017 02  6310·5
 2017 02  3110·7
 2017 02  711.5
 2017 02  4612·6
 2017 02  9913·1
 2017 02  585·7
 2017 02  356·0
 2017 02  636.1
 2017 02  266·3
 2017 02  56.4
 2017 02  596.6
 2017 02  236·8
 2017 02  376·8
 2017 02  996·8
 2017 02  367·1
 2017 02  137·2
 2017 02  527·3
 2017 02  897.5
 2017 02  497·5
 2017 02  467·6
 2017 02  147·7
 2017 02  507·8
 2017 02  28·3
 2017 02  618·3
 2017 02  928.4
 2017 02  848.4
 2017 02  298·4
 2017 02  218.4
 2017 02  818·8
 2017 02  169.0
 2017 02  869·0
 2017 02  129·0
 2017 02  19.0
 2017 02  959·1
 2017 02  549.2
 2017 02  489.2
 2017 02  949.2
 2017 02  989·5
 2017 02  409·5
 2017 02  689.5
 2017 02  309·5
 2017 02  259·7
 2017 02  759.8
 2017 02  339·8
 2017 02  49·9
 2017 02  19·9
 2017 02  179.9
 2017 03  3210·0
 2017 03  3410.0
 2017 03  7610·0
 2017 03  4710.3
 2017 03  7711.4
 2017 03  6511.9
 2017 03  2612·6
 2017 03  715·3
 2017 03  76·2
 2017 03  666·3
 2017 03  526·3
 2017 03  226·3
 2017 03  856·5
 2017 03  306.5
 2017 03  786.5
 2017 03  556.9
 2017 03  986·9
 2017 03  786·9
 2017 03  557.0
 2017 03  537.1
 2017 03  587·2
 2017 03  537.3
 2017 03  597·4
 2017 03  227·5
 2017 03  57·8
 2017 03  247.9
 2017 03  908·0
 2017 03  938·1
 2017 03  18·1
 2017 03  858.2
 2017 03  738·3
 2017 03  258.4
 2017 03  348.6
 2017 03  568·6
 2017 03  598.6
 2017 03  978.7
 2017 03  178·8
 2017 03  818·9
 2017 03  229·0
 2017 03  179·3
 2017 03  879·3
 2017 03  299·4
 2017 03  659·4
 2017 03  169.4
 2017 03  79.5
 2017 03  949.5
 2017 03  119·5
 2017 03  519.6
 2017 03  669.6
 2017 03  959.8
 2017 03  119.9
 2017 03  49.9
 2017 04  7710·1
 2017 04  7610.2
 2017 04  4110.8
 2017 04  8111.3
 2017 04  7613.2
 2017 04  75.3
 2017 04  16·0
 2017 04  146.1
 2017 04  286.2
 2017 04  816.2
 2017 04  166.3
 2017 04  596.4
 2017 04  206.5
 2017 04  186.5
 2017 04  376·5
 2017 04  996.9
 2017 04  646.9
 2017 04  627·0
 2017 04  407·1
 2017 04  397·1
 2017 04  997.1
 2017 04  827·4
 2017 04  237·4
 2017 04  127·7
 2017 04  887.8
 2017 04  727.9
 2017 04  147.9
 2017 04  748·0
 2017 04  188.0
 2017 04  518·1
 2017 04  628.2
 2017 04  78.2
 2017 04  38.2
 2017 04  648·3
 2017 04  438.3
 2017 04  178.5
 2017 04  808.6


 2017 04  798·8
 2017 04  578.8
 2017 04  369·1
 2017 04  139.1
 2017 04  919.2
 2017 04  309·2
 2017 04  209.2
 2017 04  889.2
 2017 04  199.4
 2017 04  119·5
 2017 04  539.5
 2017 04  209·7
 2017 04  79·7
 2017 04  779·8
 2017 04  399.8
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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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

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