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 Series Title: Total separations: Total nonfarm: South: 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 401700.
 2001 01  32146·
 2001 02  731870.
 2001 03  471769.
 2001 04  461853·
 2001 05  911837.
 2001 06  81835·
 2001 07  511822·
 2001 08  561836·
 2001 09  151862·
 2001 10  811996·
 2001 11  911871.
 2001 12  201790·
 2002 01 571857.
 2002 02 61801.
 2002 03 121720.
 2002 04 141809.
 2002 05 231828.
 2002 06 191787·
 2002 07 811993·
 2002 08 381821.
 2002 09 451800·
 2002 10 851793.
 2002 11 951841.
 2002 12 181768·
 2003 01  801854.
 2003 02  911813.
 2003 03  711760·
 2003 04  31816.
 2003 05  81745.
 2003 06  491821.
 2003 07  541807.
 2003 08  691846·
 2003 09  381825.
 2003 10  981750.
 2003 11  131714·
 2003 12  171812.
 2004 01 01804·
 2004 02 11722.
 2004 03 421808.
 2004 04 721852.
 2004 05 511733.
 2004 06 461815.
 2004 07 601817.
 2004 08 841891.
 2004 09 731834.
 2004 10 451834·
 2004 11 121963·
 2004 12 291868.
 2005 01  722009·
 2005 02  361982.
 2005 03  661948·
 2005 04  71827·
 2005 05  801944.
 2005 06  821914.
 2005 07  171877.
 2005 08  441930.
 2005 09  542046.
 2005 10  721923·
 2005 11  841896.
 2005 12  901994.
 2006 01 751914·
 2006 02 171893.
 2006 03 111910·
 2006 04 191916.
 2006 05 502133.
 2006 06 572093·
 2006 07 671987·
 2006 08 342023·
 2006 09 101981·
 2006 10 531977.
 2006 11 472234.
 2006 12 592012·
 2007 01  131999.
 2007 02  931994.
 2007 03  682081·
 2007 04  442050·
 2007 05  402007.
 2007 06  921889·
 2007 07  771984·
 2007 08  651967.
 2007 09  972023.
 2007 10  861977·
 2007 11  411840.
 2007 12  221872·
 2008 01 161881.
 2008 02 381879.
 2008 03 541784·
 2008 04 411973·
 2008 05 551769.
 2008 06 361879.
 2008 07 371826.
 2008 08 721795.
 2008 09 931740·
 2008 10 931824.
 2008 11 331736.
 2008 12 901742.
 2009 01  391816·
 2009 02  481768.
 2009 03  111694.
 2009 04  971719.
 2009 05  231538·
 2009 06  621497.
 2009 07  661565·
 2009 08  161395.
 2009 09  31569·
 2009 10  241492·
 2009 11  161516·
 2009 12  991435·
 2010 01 591444·
 2010 02 471423·
 2010 03 61410·
 2010 04 211450.
 2010 05 991424.
 2010 06 691585·
 2010 07 41522.
 2010 08 831531·
 2010 09 551516.
 2010 10 511364·
 2010 11 61391.
 2010 12 91532·
 2011 01  821582·
 2011 02  841483.
 2011 03  301541·
 2011 04  501407.
 2011 05  631482·
 2011 06  781482·
 2011 07  201527.
 2011 08  821583.
 2011 09  51605·
 2011 10  731518.
 2011 11  451620.
 2011 12  51626.
 2012 01 371615·
 2012 02 301604.
 2012 03 01631.
 2012 04 441676·
 2012 05 191727·
 2012 06 391711·
 2012 07 31592.
 2012 08 501704·
 2012 09 301608·
 2012 10 111677.
 2012 11 991586.
 2012 12 981607·
 2013 01  791638.
 2013 02  851693·
 2013 03  581560·
 2013 04  891719·
 2013 05  951714·
 2013 06  231743·
 2013 07  721749·
 2013 08  471693·
 2013 09  371760.
 2013 10  141723·
 2013 11  621703.
 2013 12  241658.
 2014 01 861746.
 2014 02 711726·
 2014 03 701764.
 2014 04 941747·
 2014 05 471759.
 2014 06 301840·
 2014 07 681855·
 2014 08 591919·
 2014 09 541948.
 2014 10 561901·
 2014 11 481844.
 2014 12 431908·
 2015 01  621967·
 2015 02  361925.
 2015 03  301948.
 2015 04  971952·
 2015 05  541874.
 2015 06  831909.
 2015 07  581946·
 2015 08  961972·
 2015 09  351978·
 2015 10  341957.
 2015 11  01914·
 2015 12  412076.
 2016 01 381918·
 2016 02 532002·
 2016 03 521894.
 2016 04 561986·
 2016 05 191978.
 2016 06 281913.
 2016 07 332013·
 2016 08 942055.
 2016 09 601939.
 2016 10 721970·
 2016 11 861927·


 2016 12 281929.
 2017 01  671981·
 2017 02  211977.
 2017 03  802012·
 2017 04  592039.
 2017 05  722230.
 2017 06  402110·
 2017 07  112148.
 2017 08  122006·
 2017 09  322077.
 2017 10  162156.
 2017 11  962169.
 2017 12  392116.
 2018 01 292186.
 2018 02 632154·
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 Series Title: Total separations: Total nonfarm: South: 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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