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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  763·3
 2004 04 402·8
 2005 04  262.5
 2006 04 822·2
 2007 04  772.3
 2008 04 853.1
 2009 01  803.8
 2009 02  684.6
 2009 03  325.4
 2009 04  165.9
 2010 01 236.2
 2010 02 406·2
 2010 03 916·1
 2010 04 156.0
 2011 01  675.8
 2011 02  425.6
 2011 03  295.5
 2011 04  885.3
 2012 01 505·0
 2012 02 444.8
 2012 03 484.6
 2012 04 674·4
 2013 01  354.3
 2013 02  394·2
 2013 03  724.0
 2013 04  93·9
 2014 01 113.7
 2014 02 473.5
 2014 03 513·3
 2014 04 953·1
 2015 01  892·9
 2015 02  122·8
 2015 03  622.7
 2015 04  312.6
 2016 01 71.0
 2016 01 31.5
 2016 01 51·5
 2016 01 501.6
 2016 01 301·6
 2016 01 141·7
 2016 01 41·7
 2016 01 81.7
 2016 01 441·8
 2016 01 651.9
 2016 01 111.9
 2016 01 872·0
 2016 01 622·1
 2016 01 992·1
 2016 01 02·2
 2016 01 932·2
 2016 01 232.2
 2016 01 852·2
 2016 01 732.3
 2016 01 582.3
 2016 01 892·3
 2016 01 182.3
 2016 01 542·3
 2016 01 392.5
 2016 01 482·5
 2016 01 172·5
 2016 01 942.5
 2016 01 172.5
 2016 01 132·5
 2016 01 262·6
 2016 01 692.6
 2016 01 992·6
 2016 01 222.6
 2016 01 142·7
 2016 01 782.7
 2016 01 172·7
 2016 01 382·7
 2016 01 752.8
 2016 01 472·8
 2016 01 272.8
 2016 01 482.9
 2016 01 292·9
 2016 01 272·9
 2016 01 113·0
 2016 01 663·0
 2016 01 203·1
 2016 01 923·1
 2016 01 753.1
 2016 01 293·2
 2016 01 163·4
 2016 01 443.5
 2016 01 513.7
 2016 02 10·8
 2016 02 111·4
 2016 02 81.5
 2016 02 961.6
 2016 02 691·6
 2016 02 261.7
 2016 02 331·7
 2016 02 921.7
 2016 02 461·8
 2016 02 41.9
 2016 02 961·9
 2016 02 442.0
 2016 02 702·0
 2016 02 142.0
 2016 02 972.1
 2016 02 862·1
 2016 02 32·2
 2016 02 512·2
 2016 02 612.2
 2016 02 722.3
 2016 02 352·3
 2016 02 332·3
 2016 02 382.3
 2016 02 862·4
 2016 02 772.4
 2016 02 52.4
 2016 02 52.4
 2016 02 332·4
 2016 02 682.5
 2016 02 362.5
 2016 02 612.5
 2016 02 462·5
 2016 02 712.5
 2016 02 192·5
 2016 02 322.6
 2016 02 802·6
 2016 02 722·6
 2016 02 752·7
 2016 02 672.7
 2016 02 182.7
 2016 02 862·8
 2016 02 472·9
 2016 02 442·9
 2016 02 673·1
 2016 02 503.1
 2016 02 43·1
 2016 02 613.2
 2016 02 573.2
 2016 02 283·3
 2016 02 413·3
 2016 02 453·5
 2016 02 453.7
 2016 03 60.9
 2016 03 771.4
 2016 03 461·4
 2016 03 141.6
 2016 03 971·6
 2016 03 551·7
 2016 03 381·7
 2016 03 691.7
 2016 03 411.8
 2016 03 451.8
 2016 03 231·9
 2016 03 431.9
 2016 03 992.0
 2016 03 412.1
 2016 03 262·2
 2016 03 912·2
 2016 03 592.2
 2016 03 632·2
 2016 03 982.2
 2016 03 972.2
 2016 03 352.2
 2016 03 542·2
 2016 03 132·3
 2016 03 662.3
 2016 03 642·3
 2016 03 832·3
 2016 03 722.3
 2016 03 292·3
 2016 03 102.3
 2016 03 462·4
 2016 03 02.4
 2016 03 452.4
 2016 03 592.4
 2016 03 592·5
 2016 03 492·5
 2016 03 932.5
 2016 03 252.6
 2016 03 692.6
 2016 03 922·7
 2016 03 822.7
 2016 03 462.8
 2016 03 442.9
 2016 03 313.0
 2016 03 413.0
 2016 03 853.0
 2016 03 783·0
 2016 03 923·1
 2016 03 293·1
 2016 03 303.2
 2016 03 913.2
 2016 03 233.5
 2016 03 274.0
 2016 04 921.0
 2016 04 261.4
 2016 04 21.5
 2016 04 421·5
 2016 04 121·5
 2016 04 521.6
 2016 04 281·6
 2016 04 41·6
 2016 04 501.7
 2016 04 641·8
 2016 04 261·9
 2016 04 711·9
 2016 04 962.0
 2016 04 822.0
 2016 04 472·0
 2016 04 252·1
 2016 04 622·1
 2016 04 482.1
 2016 04 672.1
 2016 04 712·1
 2016 04 852·2
 2016 04 332.2
 2016 04 852·2
 2016 04 422·2
 2016 04 302.2
 2016 04 292·2
 2016 04 282·3
 2016 04 942·3
 2016 04 832.3
 2016 04 582.3
 2016 04 452.3
 2016 04 102·3
 2016 04 582·4
 2016 04 622.4
 2016 04 122.4
 2016 04 952·5
 2016 04 922.5
 2016 04 102·5
 2016 04 292.6
 2016 04 812.6
 2016 04 492.7
 2016 04 982·9
 2016 04 222·9
 2016 04 252.9
 2016 04 162·9
 2016 04 442.9
 2016 04 423.0
 2016 04 83·0
 2016 04 63.1
 2016 04 913.2
 2016 04 623.5
 2016 04 373·8
 2017 01  571.2
 2017 01  101·2
 2017 01  851.5
 2017 01  451.6
 2017 01  331·6
 2017 01  951·6
 2017 01  351·6
 2017 01  861.7
 2017 01  201.7
 2017 01  641·7
 2017 01  621.8
 2017 01  441.8
 2017 01  311·9
 2017 01  622.0
 2017 01  432·0
 2017 01  252·0
 2017 01  62·0
 2017 01  582·0
 2017 01  772·0
 2017 01  592·0
 2017 01  62.1
 2017 01  462.1
 2017 01  892.1
 2017 01  52·1
 2017 01  192.2
 2017 01  452·2
 2017 01  322.3
 2017 01  432.3
 2017 01  592·3
 2017 01  992·3
 2017 01  782·3
 2017 01  812.4
 2017 01  632.4
 2017 01  782·4
 2017 01  302.4
 2017 01  492·5
 2017 01  942.5
 2017 01  752.5
 2017 01  122·6
 2017 01  52.6
 2017 01  392·6
 2017 01  102·6
 2017 01  752·8
 2017 01  302·8
 2017 01  132.8
 2017 01  272.8
 2017 01  942.9
 2017 01  312·9
 2017 01  532.9
 2017 01  953.1
 2017 01  703.4
 2017 01  403·8
 2017 02  211·1
 2017 02  81.3
 2017 02  271.3
 2017 02  121.4
 2017 02  61·5
 2017 02  851.5
 2017 02  171·5
 2017 02  311.6
 2017 02  201.6
 2017 02  711.7
 2017 02  151.8
 2017 02  11·8
 2017 02  11.8
 2017 02  351·8
 2017 02  211.8
 2017 02  561·9
 2017 02  131·9
 2017 02  702·0
 2017 02  602.0
 2017 02  512·1
 2017 02  422·1
 2017 02  962.1
 2017 02  842.1
 2017 02  692·1
 2017 02  32.2
 2017 02  562·2
 2017 02  662.2
 2017 02  152·2
 2017 02  332.2
 2017 02  222.3
 2017 02  92.3
 2017 02  222.3
 2017 02  942.3
 2017 02  852.3
 2017 02  362.4
 2017 02  472·4
 2017 02  752.4
 2017 02  662·5
 2017 02  992.5
 2017 02  702·6
 2017 02  892·6
 2017 02  82·6
 2017 02  732.7
 2017 02  982·7
 2017 02  732.7
 2017 02  812.7
 2017 02  582·7
 2017 02  642·8
 2017 02  902.9
 2017 02  792·9
 2017 02  793.3
 2017 02  244.0
 2017 03  291·2
 2017 03  201.2
 2017 03  881·2
 2017 03  591·3
 2017 03  11·3
 2017 03  501.5
 2017 03  591.5
 2017 03  761.5
 2017 03  461.6
 2017 03  371·6
 2017 03  931.7
 2017 03  71·7
 2017 03  261.8
 2017 03  761·8
 2017 03  151·9
 2017 03  81·9
 2017 03  281.9
 2017 03  851·9
 2017 03  761.9
 2017 03  611·9
 2017 03  662.0
 2017 03  92·0
 2017 03  512·1
 2017 03  732·1
 2017 03  782·1
 2017 03  172.1
 2017 03  402·1
 2017 03  752·1
 2017 03  262·1
 2017 03  22.2
 2017 03  692·2
 2017 03  242·2
 2017 03  982.2
 2017 03  852.3
 2017 03  882·3
 2017 03  12·3
 2017 03  82.4
 2017 03  92.4
 2017 03  732.4
 2017 03  142.4
 2017 03  932·5
 2017 03  432·6
 2017 03  232.6
 2017 03  932·7
 2017 03  152.7
 2017 03  822.7
 2017 03  652·8
 2017 03  962·8
 2017 03  642·9
 2017 03  442.9
 2017 03  493·1
 2017 03  44.1
 2017 04  521·2
 2017 04  741.2
 2017 04  501·2
 2017 04  241.3
 2017 04  161·3
 2017 04  421.5
 2017 04  681.5
 2017 04  871.5
 2017 04  201.6
 2017 04  401·6
 2017 04  291.6
 2017 04  501.7
 2017 04  511.7
 2017 04  891.7
 2017 04  841·8
 2017 04  951·8
 2017 04  221.8
 2017 04  311.9
 2017 04  71.9
 2017 04  281·9
 2017 04  721.9
 2017 04  382·0
 2017 04  992·0
 2017 04  822.0
 2017 04  632.0
 2017 04  22.1
 2017 04  862.1
 2017 04  112.1
 2017 04  832.1
 2017 04  432·1
 2017 04  172.1
 2017 04  992·2
 2017 04  452·2
 2017 04  42.2
 2017 04  692.2
 2017 04  522·2
 2017 04  872·2
 2017 04  562.3
 2017 04  422.3
 2017 04  12·3
 2017 04  722.4
 2017 04  922·6
 2017 04  602.6
 2017 04  42.7
 2017 04  872·7
 2017 04  322·7
 2017 04  752.7
 2017 04  412.7
 2017 04  452·7
 2017 04  192.8
 2017 04  622.8
 2017 04  204·2
 2018 01 851·2
 2018 01 221·2
 2018 01 211.3
 2018 01 721·3
 2018 01 691·3
 2018 01 361·4
 2018 01 771·4
 2018 01 531.4
 2018 01 861.5
 2018 01 811.5
 2018 01 821.6
 2018 01 461·6
 2018 01 471.6
 2018 01 991.7
 2018 01 101·7
 2018 01 571·8
 2018 01 921·8
 2018 01 601·8
 2018 01 611·9
 2018 01 181.9
 2018 01 821.9
 2018 01 591·9
 2018 01 622·0
 2018 01 852.0
 2018 01 62.0
 2018 01 142.0
 2018 01 622.0
 2018 01 392.0
 2018 01 762.0
 2018 01 702·0
 2018 01 372.0
 2018 01 892·1
 2018 01 312·1
 2018 01 962·1
 2018 01 882·1
 2018 01 642·1
 2018 01 342.1
 2018 01 852.2
 2018 01 392.3
 2018 01 222·3
 2018 01 712.3
 2018 01 582·4
 2018 01 422·4
 2018 01 452·5
 2018 01 572·5
 2018 01 582·5
 2018 01 712.6
 2018 01 392·7
 2018 01 292.7
 2018 01 542·7
 2018 01 262·8
 2018 01 364.2
 2018 02 501.2
 2018 02 401.3
 2018 02 341·3
 2018 02 921·3
 2018 02 81·4
 2018 02 371·4
 2018 02 451·4
 2018 02 891·4
 2018 02 151·5
 2018 02 861·5
 2018 02 341·5
 2018 02 341·5
 2018 02 111.5
 2018 02 591·6
 2018 02 11·7
 2018 02 581.7
 2018 02 561·7
 2018 02 491·7
 2018 02 721·7
 2018 02 181·8
 2018 02 401·8
 2018 02 751.8
 2018 02 971.8
 2018 02 961·8
 2018 02 761·9
 2018 02 811·9
 2018 02 521·9
 2018 02 981.9
 2018 02 01·9
 2018 02 371.9
 2018 02 371.9
 2018 02 562.0
 2018 02 772·0
 2018 02 362·0
 2018 02 772·1
 2018 02 272·1
 2018 02 932·1


 2018 02 982.2
 2018 02 242.2
 2018 02 912·2
 2018 02 632.2
 2018 02 672·3
 2018 02 512·3
 2018 02 572·4
 2018 02 232·4
 2018 02 122·4
 2018 02 602·5
 2018 02 552·5
 2018 02 372·6
 2018 02 272.6
 2018 02 762.7
 2018 02 413.7
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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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