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 Series Title: Other separations: Total nonfarm: South: Level; Thousands; NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 12 23106·
 2001 01  74199.
 2001 02  26114.
 2001 03  7114·
 2001 04  69184.
 2001 05  66110.
 2001 06  54131.
 2001 07  18124.
 2001 08  25130.
 2001 09  0129.
 2001 10  26141·
 2001 11  7193·
 2001 12  42129·
 2002 01 58165·
 2002 02 55114·
 2002 03 1093·
 2002 04 94135.
 2002 05 46113.
 2002 06 80106.
 2002 07 6183·
 2002 08 82172.
 2002 09 97130.
 2002 10 64131·
 2002 11 51139·
 2002 12 33141.
 2003 01  66212·
 2003 02  93125.
 2003 03  65104·
 2003 04  95139·
 2003 05  36109·
 2003 06  82127·
 2003 07  92145.
 2003 08  44155.
 2003 09  13125.
 2003 10  68146.
 2003 11  188.
 2003 12  82107·
 2004 01 29173·
 2004 02 13108·
 2004 03 87112.
 2004 04 33133·
 2004 05 39105.
 2004 06 7117·
 2004 07 68145·
 2004 08 47123·
 2004 09 27132·
 2004 10 61141.
 2004 11 8997.
 2004 12 0117·
 2005 01  99156.
 2005 02  13138·
 2005 03  1997.
 2005 04  93117·
 2005 05  86109.
 2005 06  27123·
 2005 07  52114·
 2005 08  50129.
 2005 09  44103·
 2005 10  9174·
 2005 11  7101·
 2005 12  23148.
 2006 01 56169.
 2006 02 16111.
 2006 03 28101·
 2006 04 86177.
 2006 05 29208·
 2006 06 42188.
 2006 07 85172.
 2006 08 40132·
 2006 09 93117.
 2006 10 31174.
 2006 11 7196.
 2006 12 11128·
 2007 01  6165·
 2007 02  71101.
 2007 03  6129·
 2007 04  48118.
 2007 05  49108·
 2007 06  74128·
 2007 07  33161.
 2007 08  27118·
 2007 09  2887.
 2007 10  79133.
 2007 11  2397·
 2007 12  4995.
 2008 01 76100.
 2008 02 4994.
 2008 03 6890·
 2008 04 39137·
 2008 05 49117.
 2008 06 71110·
 2008 07 89109·
 2008 08 47127·
 2008 09 29116·
 2008 10 59126·
 2008 11 29100.
 2008 12 4893·
 2009 01  22155·
 2009 02  5085·
 2009 03  5898·
 2009 04  44141.
 2009 05  6098.
 2009 06  7119.
 2009 07  69132.
 2009 08  59124·
 2009 09  99114.
 2009 10  1897·
 2009 11  82107.
 2009 12  45104·
 2010 01 22148·
 2010 02 96100·
 2010 03 41101.
 2010 04 7599.
 2010 05 34134.
 2010 06 79126.
 2010 07 15144·
 2010 08 51141.
 2010 09 69121.
 2010 10 2994.
 2010 11 9986·
 2010 12 98102.
 2011 01  81148.
 2011 02  35120·
 2011 03  1098·
 2011 04  66112.
 2011 05  53102·
 2011 06  10133.
 2011 07  94150.
 2011 08  32117·
 2011 09  91100·
 2011 10  91108·
 2011 11  2090·
 2011 12  94109·
 2012 01 28146·
 2012 02 41103·
 2012 03 8296.
 2012 04 7986.
 2012 05 19113.
 2012 06 49154·
 2012 07 98128.
 2012 08 37117·
 2012 09 47113·
 2012 10 26143.
 2012 11 14104.
 2012 12 43142.
 2013 01  18166.
 2013 02  11105.
 2013 03  9897.
 2013 04  98119.
 2013 05  63145.
 2013 06  68158·
 2013 07  44144.
 2013 08  28148·
 2013 09  40114·
 2013 10  83110.
 2013 11  71128.
 2013 12  82164·
 2014 01 29164·
 2014 02 69118·
 2014 03 24134.
 2014 04 35126·
 2014 05 38166.
 2014 06 65175·
 2014 07 72166.
 2014 08 89173·
 2014 09 98164.
 2014 10 34131·
 2014 11 9109.
 2014 12 69187·
 2015 01  66183·
 2015 02  62123.
 2015 03  5495.
 2015 04  25127·
 2015 05  24171.
 2015 06  64175.
 2015 07  51181·
 2015 08  32169.
 2015 09  78141·
 2015 10  77165·
 2015 11  69140·
 2015 12  92138.
 2016 01 59173.
 2016 02 64130·
 2016 03 3125.
 2016 04 28151·
 2016 05 25152.
 2016 06 13163·
 2016 07 71144·
 2016 08 92168.
 2016 09 57131·
 2016 10 36126.
 2016 11 19121.
 2016 12 60159·
 2017 01  62193.
 2017 02  73119·
 2017 03  14111·
 2017 04  30112.
 2017 05  71142.
 2017 06  84141.
 2017 07  51121.
 2017 08  30138.
 2017 09  41103·


 2017 10  59114·
 2017 11  49119.
 2017 12  9122.
 2018 01 53144·
 2018 02 11114.
 2018 03 52124.
 2018 04 42120·
 2018 05 15117·
 2018 06 76145.
 2018 07 30122.
 2018 08 31134.
 2018 09 58122·
 2018 10 1993.
 2018 11 77130.
 2018 12 0146·
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 Series Title: Other separations: Total nonfarm: South: Level; Thousands; NSA
   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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Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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