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 Series Title: Total separations: Total nonfarm: Midwest: Level; Thousands; SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 12 771307·
 2001 01  301623.
 2001 02  201457.
 2001 03  221444·
 2001 04  401395.
 2001 05  781475·
 2001 06  401454.
 2001 07  631323.
 2001 08  641313.
 2001 09  171371·
 2001 10  551246.
 2001 11  971172.
 2001 12  991163·
 2002 01 301252·
 2002 02 771112.
 2002 03 671069·
 2002 04 191181.
 2002 05 241169·
 2002 06 451045.
 2002 07 421160.
 2002 08 251122.
 2002 09 301180·
 2002 10 221107·
 2002 11 181022.
 2002 12 431110·
 2003 01  51058·
 2003 02  941051·
 2003 03  13995·
 2003 04  241206·
 2003 05  311025·
 2003 06  761087.
 2003 07  701033.
 2003 08  411029.
 2003 09  131002.
 2003 10  51099.
 2003 11  601018.
 2003 12  971094.
 2004 01 841118·
 2004 02 431003·
 2004 03 761106.
 2004 04 151033·
 2004 05 01019·
 2004 06 801135.
 2004 07 381107·
 2004 08 481122.
 2004 09 441039·
 2004 10 271027·
 2004 11 901173.
 2004 12 691082·
 2005 01  201131·
 2005 02  221108.
 2005 03  01162.
 2005 04  801144.
 2005 05  631125.
 2005 06  291086·
 2005 07  631115.
 2005 08  51273.
 2005 09  271169·
 2005 10  361079.
 2005 11  991121·
 2005 12  96998·
 2006 01 951117·
 2006 02 541115.
 2006 03 501165·
 2006 04 271038.
 2006 05 721201·
 2006 06 231028·
 2006 07 871201·
 2006 08 991076.
 2006 09 921077.
 2006 10 51116·
 2006 11 41098.
 2006 12 371181·
 2007 01  101113·
 2007 02  881189.
 2007 03  191115.
 2007 04  921124.
 2007 05  91144·
 2007 06  841108.
 2007 07  771122·
 2007 08  401132·
 2007 09  941065.
 2007 10  321069·
 2007 11  471043·
 2007 12  791125·
 2008 01 971077.
 2008 02 951006·
 2008 03 23956.
 2008 04 371144.
 2008 05 75988·
 2008 06 601097·
 2008 07 24961·
 2008 08 63997.
 2008 09 111111·
 2008 10 411132·
 2008 11 95995.
 2008 12 331049.
 2009 01  91188·
 2009 02  751054.
 2009 03  41042.
 2009 04  47972·
 2009 05  2892·
 2009 06  25885·
 2009 07  46856·
 2009 08  30953.
 2009 09  47856.
 2009 10  79858·
 2009 11  39779·
 2009 12  33849.
 2010 01 26841·
 2010 02 50844·
 2010 03 29891·
 2010 04 31844·
 2010 05 44905.
 2010 06 75964·
 2010 07 841042·
 2010 08 25905.
 2010 09 33965.
 2010 10 19835·
 2010 11 97905·
 2010 12 40935·
 2011 01  51899·
 2011 02  68803·
 2011 03  89944.
 2011 04  26966·
 2011 05  78900·
 2011 06  351014·
 2011 07  4977·
 2011 08  60953.
 2011 09  22910.
 2011 10  59972.
 2011 11  10841·
 2011 12  40872.
 2012 01 15898·
 2012 02 3986·
 2012 03 2954·
 2012 04 93971·
 2012 05 111010·
 2012 06 53960·
 2012 07 99913.
 2012 08 691043.
 2012 09 94917.
 2012 10 23876.
 2012 11 45952·
 2012 12 43907.
 2013 01  71860·
 2013 02  52877.
 2013 03  9837.
 2013 04  16898.
 2013 05  711004·
 2013 06  1889·
 2013 07  86928·
 2013 08  141008·
 2013 09  531005·
 2013 10  59919·
 2013 11  94959·
 2013 12  85950·
 2014 01 98958·
 2014 02 38992.
 2014 03 78940·
 2014 04 71014.
 2014 05 131004.
 2014 06 77987.
 2014 07 61038.
 2014 08 791015·
 2014 09 291119.
 2014 10 391102·
 2014 11 731067·
 2014 12 27976.
 2015 01  21011.
 2015 02  10982·
 2015 03  991131.
 2015 04  11114·
 2015 05  151044·
 2015 06  51094·
 2015 07  261103·
 2015 08  761092.
 2015 09  751081.
 2015 10  611110·
 2015 11  251098.
 2015 12  531090.
 2016 01 111101·
 2016 02 411165·
 2016 03 891206·
 2016 04 581104·
 2016 05 831150.
 2016 06 331133.
 2016 07 381091.
 2016 08 401111.
 2016 09 701080.
 2016 10 491143·
 2016 11 161097·
 2016 12 751137·
 2017 01  801208.
 2017 02  291098·


 2017 03  911179·
 2017 04  641087.
 2017 05  451086.
 2017 06  331142.
 2017 07  591213.
 2017 08  321190.
 2017 09  201174·
 2017 10  511137·
 2017 11  371096·
 2017 12  281164·
 2018 01 881116.
 2018 02 961045.
 2018 03 711125.
 2018 04 301144·
 2018 05 551204.
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 Series Title: Total separations: Total nonfarm: Midwest: Level; Thousands; SA
   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

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