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 Series Title: United States: U-2 Job losers and persons who completed temporary jobs: 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  533·3
 2004 04 232.8
 2005 04  192·5
 2006 04 102.2
 2007 04  932·3
 2008 04 643.1
 2009 01  253·8
 2009 02  44.6
 2009 03  125·4
 2009 04  165·9
 2010 01 456.2
 2010 02 96.2
 2010 03 606·1
 2010 04 616·0
 2011 01  915.8
 2011 02  705.6
 2011 03  135·5
 2011 04  55·3
 2012 01 15·0
 2012 02 554·8
 2012 03 714.6
 2012 04 794·4
 2013 01  384.3
 2013 02  584.2
 2013 03  594.0
 2013 04  423.9
 2014 01 903·7
 2014 02 03.5
 2014 03 293·3
 2014 04 733.1
 2015 01  702·9
 2015 02  232·8
 2015 03  542.7
 2015 04  802·6
 2016 01 161.0
 2016 01 971.5
 2016 01 361·5
 2016 01 951·6
 2016 01 901·6
 2016 01 161.7
 2016 01 01.7
 2016 01 741·7
 2016 01 811.8
 2016 01 01·9
 2016 01 961·9
 2016 01 982.0
 2016 01 12.1
 2016 01 922.1
 2016 01 02·2
 2016 01 752·2
 2016 01 892.2
 2016 01 622.2
 2016 01 122·3
 2016 01 362·3
 2016 01 72.3
 2016 01 32.3
 2016 01 582.3
 2016 01 382.5
 2016 01 432.5
 2016 01 352.5
 2016 01 872.5
 2016 01 612·5
 2016 01 102.5
 2016 01 22·6
 2016 01 762·6
 2016 01 142.6
 2016 01 462.6
 2016 01 742·7
 2016 01 252.7
 2016 01 272.7
 2016 01 132·7
 2016 01 432.8
 2016 01 582·8
 2016 01 582·8
 2016 01 12.9
 2016 01 302·9
 2016 01 272·9
 2016 01 873·0
 2016 01 213.0
 2016 01 793.1
 2016 01 73·1
 2016 01 223·1
 2016 01 113·2
 2016 01 583·4
 2016 01 993.5
 2016 01 943·7
 2016 02 340.8
 2016 02 621·4
 2016 02 271.5
 2016 02 601.6
 2016 02 791·6
 2016 02 101·7
 2016 02 421.7
 2016 02 21.7
 2016 02 581.8
 2016 02 461·9
 2016 02 191·9
 2016 02 252.0
 2016 02 92.0
 2016 02 402·0
 2016 02 592·1
 2016 02 622·1
 2016 02 952·2
 2016 02 842.2
 2016 02 882.2
 2016 02 692.3
 2016 02 42·3
 2016 02 02.3
 2016 02 552.3
 2016 02 292·4
 2016 02 482·4
 2016 02 302·4
 2016 02 362·4
 2016 02 472·4
 2016 02 662·5
 2016 02 442.5
 2016 02 312.5
 2016 02 552.5
 2016 02 202·5
 2016 02 352·5
 2016 02 662·6
 2016 02 102.6
 2016 02 992·6
 2016 02 242·7
 2016 02 922·7
 2016 02 942·7
 2016 02 152.8
 2016 02 542·9
 2016 02 822.9
 2016 02 133·1
 2016 02 63·1
 2016 02 953.1
 2016 02 393·2
 2016 02 983.2
 2016 02 353·3
 2016 02 403.3
 2016 02 883.5
 2016 02 83·7
 2016 03 900·9
 2016 03 91·4
 2016 03 771.4
 2016 03 221·6
 2016 03 831·6
 2016 03 451·7
 2016 03 841.7
 2016 03 481.7
 2016 03 541.8
 2016 03 191·8
 2016 03 91.9
 2016 03 171.9
 2016 03 642.0
 2016 03 232·1
 2016 03 772·2
 2016 03 872.2
 2016 03 12·2
 2016 03 782·2
 2016 03 372·2
 2016 03 382·2
 2016 03 792.2
 2016 03 272·2
 2016 03 672.3
 2016 03 772·3
 2016 03 352·3
 2016 03 402·3
 2016 03 652.3
 2016 03 372·3
 2016 03 322.3
 2016 03 102·4
 2016 03 582·4
 2016 03 732·4
 2016 03 592·4
 2016 03 572.5
 2016 03 962.5
 2016 03 672·5
 2016 03 272·6
 2016 03 252·6
 2016 03 542·7
 2016 03 262·7
 2016 03 752·8
 2016 03 832·9
 2016 03 333.0
 2016 03 823·0
 2016 03 663·0
 2016 03 263.0
 2016 03 583.1
 2016 03 903.1
 2016 03 873.2
 2016 03 713·2
 2016 03 793·5
 2016 03 344.0
 2016 04 521·0
 2016 04 641.4
 2016 04 721·5
 2016 04 191·5
 2016 04 981.5
 2016 04 741.6
 2016 04 371.6
 2016 04 771.6
 2016 04 891·7
 2016 04 951.8
 2016 04 01·9
 2016 04 651·9
 2016 04 112.0
 2016 04 452·0
 2016 04 102·0
 2016 04 642.1
 2016 04 792.1
 2016 04 702·1
 2016 04 442.1
 2016 04 812.1
 2016 04 302.2
 2016 04 372.2
 2016 04 22·2
 2016 04 482.2
 2016 04 262·2
 2016 04 422·2
 2016 04 92.3
 2016 04 212·3
 2016 04 562.3
 2016 04 42·3
 2016 04 162.3
 2016 04 822·3
 2016 04 332·4
 2016 04 662.4
 2016 04 972.4
 2016 04 382·5
 2016 04 942·5
 2016 04 982·5
 2016 04 542.6
 2016 04 192·6
 2016 04 32.7
 2016 04 942.9
 2016 04 122·9
 2016 04 842.9
 2016 04 472·9
 2016 04 732.9
 2016 04 203·0
 2016 04 133.0
 2016 04 393.1
 2016 04 793·2
 2016 04 553·5
 2016 04 133·8
 2017 01  171.2
 2017 01  811.2
 2017 01  171.5
 2017 01  161.6
 2017 01  441·6
 2017 01  741·6
 2017 01  321·6
 2017 01  791.7
 2017 01  81.7
 2017 01  761·7
 2017 01  491·8
 2017 01  821·8
 2017 01  221·9
 2017 01  322.0
 2017 01  442.0
 2017 01  332·0
 2017 01  242.0
 2017 01  112.0
 2017 01  172·0
 2017 01  642.0
 2017 01  752.1
 2017 01  72·1
 2017 01  942.1
 2017 01  302·1
 2017 01  662·2
 2017 01  392·2
 2017 01  262.3
 2017 01  142.3
 2017 01  72.3
 2017 01  522.3
 2017 01  872·3
 2017 01  222·4
 2017 01  382.4
 2017 01  142·4
 2017 01  782·4
 2017 01  862.5
 2017 01  212·5
 2017 01  192·5
 2017 01  252.6
 2017 01  632·6
 2017 01  442.6
 2017 01  882·6
 2017 01  772.8
 2017 01  342.8
 2017 01  202·8
 2017 01  632·8
 2017 01  112·9
 2017 01  62.9
 2017 01  862.9
 2017 01  143·1
 2017 01  263.4
 2017 01  103·8
 2017 02  61·1
 2017 02  351.3
 2017 02  481.3
 2017 02  31·4
 2017 02  681·5
 2017 02  461.5
 2017 02  271·5
 2017 02  671·6
 2017 02  841·6
 2017 02  901.7
 2017 02  401.8
 2017 02  81.8
 2017 02  921.8
 2017 02  361·8
 2017 02  851·8
 2017 02  591·9
 2017 02  561.9
 2017 02  802.0
 2017 02  892·0
 2017 02  742.1
 2017 02  622·1
 2017 02  392.1
 2017 02  12·1
 2017 02  382·1
 2017 02  252·2
 2017 02  582.2
 2017 02  982·2
 2017 02  552.2
 2017 02  822·2
 2017 02  62.3
 2017 02  802·3
 2017 02  582.3
 2017 02  952·3
 2017 02  782.3
 2017 02  722·4
 2017 02  32·4
 2017 02  532.4
 2017 02  912·5
 2017 02  242·5
 2017 02  722·6
 2017 02  692.6
 2017 02  922.6
 2017 02  132·7
 2017 02  712.7
 2017 02  792.7
 2017 02  482.7
 2017 02  372·7
 2017 02  332·8
 2017 02  492.9
 2017 02  542.9
 2017 02  233.3
 2017 02  134·0
 2017 03  641·2
 2017 03  291·2
 2017 03  211.2
 2017 03  941·3
 2017 03  391·3
 2017 03  171.5
 2017 03  71·5
 2017 03  811·5
 2017 03  111·6
 2017 03  881·6
 2017 03  801·7
 2017 03  81.7
 2017 03  421.8
 2017 03  341.8
 2017 03  671.9
 2017 03  301.9
 2017 03  211.9
 2017 03  771·9
 2017 03  171·9
 2017 03  291·9
 2017 03  612.0
 2017 03  592.0
 2017 03  62.1
 2017 03  112·1
 2017 03  02·1
 2017 03  492.1
 2017 03  352·1
 2017 03  92.1
 2017 03  02·1
 2017 03  432.2
 2017 03  282.2
 2017 03  782·2
 2017 03  492·2
 2017 03  592.3
 2017 03  372·3
 2017 03  12·3
 2017 03  612·4
 2017 03  412.4
 2017 03  362·4
 2017 03  852.4
 2017 03  732·5
 2017 03  592.6
 2017 03  262·6
 2017 03  602.7
 2017 03  472.7
 2017 03  62·7
 2017 03  332·8
 2017 03  842·8
 2017 03  732.9
 2017 03  12.9
 2017 03  63.1
 2017 03  374.1
 2017 04  631·2
 2017 04  901·2
 2017 04  211·2
 2017 04  281.3
 2017 04  541·3
 2017 04  401.5
 2017 04  791·5
 2017 04  871·5
 2017 04  91·6
 2017 04  471·6
 2017 04  41·6
 2017 04  711·7
 2017 04  181.7
 2017 04  281.7
 2017 04  481.8
 2017 04  611·8
 2017 04  911.8
 2017 04  301·9
 2017 04  861·9
 2017 04  651·9
 2017 04  681.9
 2017 04  192·0
 2017 04  182·0
 2017 04  142·0
 2017 04  112·0
 2017 04  912·1
 2017 04  692.1
 2017 04  642·1
 2017 04  82.1
 2017 04  652.1
 2017 04  902.1
 2017 04  982·2
 2017 04  722.2
 2017 04  852.2
 2017 04  562·2
 2017 04  222·2
 2017 04  412·2
 2017 04  202.3
 2017 04  682.3
 2017 04  672·3
 2017 04  772.4
 2017 04  652.6
 2017 04  512·6
 2017 04  902·7
 2017 04  692·7
 2017 04  372·7
 2017 04  552.7
 2017 04  732·7
 2017 04  302.7
 2017 04  822.8
 2017 04  572.8
 2017 04  224.2
 2018 01 971·2
 2018 01 691·2
 2018 01 551·3
 2018 01 701·3
 2018 01 331·3
 2018 01 921·4
 2018 01 761·4
 2018 01 721·4
 2018 01 261·5
 2018 01 691·5
 2018 01 701·6
 2018 01 111.6
 2018 01 891.6
 2018 01 461.7
 2018 01 121.7
 2018 01 921.8
 2018 01 611.8
 2018 01 901.8
 2018 01 31·9
 2018 01 491.9
 2018 01 31·9
 2018 01 971.9
 2018 01 682·0
 2018 01 362·0
 2018 01 42·0
 2018 01 862·0
 2018 01 582.0
 2018 01 372.0
 2018 01 762.0
 2018 01 02·0
 2018 01 482.0
 2018 01 572.1
 2018 01 582·1
 2018 01 92.1
 2018 01 382.1
 2018 01 282.1
 2018 01 132.1
 2018 01 62.2
 2018 01 542·3
 2018 01 72.3
 2018 01 272·3
 2018 01 122·4
 2018 01 452.4
 2018 01 752·5
 2018 01 152·5
 2018 01 702.5
 2018 01 892.6
 2018 01 402.7
 2018 01 142.7
 2018 01 492.7
 2018 01 842·8
 2018 01 324·2
 2018 02 871.2
 2018 02 441.3
 2018 02 561·3
 2018 02 91·3
 2018 02 221.4
 2018 02 731.4
 2018 02 571·4
 2018 02 521·4
 2018 02 311·5
 2018 02 811·5
 2018 02 601.5
 2018 02 681·5
 2018 02 531.5
 2018 02 371.6
 2018 02 671·7
 2018 02 881·7
 2018 02 511·7
 2018 02 351·7
 2018 02 21·7
 2018 02 681·8
 2018 02 121·8
 2018 02 951.8
 2018 02 171.8
 2018 02 921·8
 2018 02 491.9
 2018 02 591·9
 2018 02 861.9
 2018 02 651.9
 2018 02 11·9
 2018 02 981.9
 2018 02 101.9
 2018 02 182·0
 2018 02 292.0
 2018 02 52·0
 2018 02 152.1
 2018 02 92·1
 2018 02 232·1
 2018 02 12·2
 2018 02 512·2
 2018 02 202·2
 2018 02 942·2
 2018 02 282·3
 2018 02 932.3
 2018 02 562.4
 2018 02 812.4
 2018 02 562·4
 2018 02 412.5
 2018 02 492·5
 2018 02 472.6
 2018 02 792.6
 2018 02 212·7
 2018 02 573.7
 2018 03 791.2
 2018 03 161.2
 2018 03 841·3
 2018 03 601·3
 2018 03 911·4
 2018 03 121.4
 2018 03 41.4
 2018 03 661.4
 2018 03 201·5
 2018 03 361.5
 2018 03 831.5
 2018 03 61.5
 2018 03 301·6
 2018 03 811·6
 2018 03 451.6
 2018 03 361.6
 2018 03 71.6
 2018 03 671.6
 2018 03 411.6
 2018 03 391·7
 2018 03 651.7
 2018 03 381.7
 2018 03 461.7
 2018 03 211·8
 2018 03 431·8
 2018 03 641·8
 2018 03 611.8
 2018 03 131·8
 2018 03 21.8
 2018 03 371·8
 2018 03 111·9
 2018 03 731·9
 2018 03 301·9
 2018 03 781.9
 2018 03 462.0
 2018 03 812.0
 2018 03 422.1


 2018 03 302·1
 2018 03 432.1
 2018 03 452.2
 2018 03 732.2
 2018 03 632.2
 2018 03 12·2
 2018 03 962·2
 2018 03 882.3
 2018 03 712·3
 2018 03 452·3
 2018 03 912·3
 2018 03 742·4
 2018 03 732.4
 2018 03 262·7
 2018 03 113·5
Economagic: Year Chart
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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-2 Job losers and persons who completed temporary jobs: 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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