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 Series Title: Quits: Construction: US: 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 34116·
 2001 01  76153·
 2001 02  80197·
 2001 03  13204·
 2001 04  63200.
 2001 05  23170.
 2001 06  85171.
 2001 07  72164.
 2001 08  90148·
 2001 09  0145.
 2001 10  21140·
 2001 11  62160·
 2001 12  65128.
 2002 01 88170.
 2002 02 3151·
 2002 03 25151.
 2002 04 63163.
 2002 05 94156·
 2002 06 68136.
 2002 07 32168·
 2002 08 85149·
 2002 09 50167·
 2002 10 78151.
 2002 11 76111.
 2002 12 56141·
 2003 01  12146·
 2003 02  22143·
 2003 03  77130.
 2003 04  27101.
 2003 05  62160.
 2003 06  13166·
 2003 07  78151.
 2003 08  72161·
 2003 09  7150.
 2003 10  89155·
 2003 11  49157·
 2003 12  93178·
 2004 01 77152.
 2004 02 11170.
 2004 03 84171·
 2004 04 15173.
 2004 05 31152.
 2004 06 69192·
 2004 07 2135·
 2004 08 87165·
 2004 09 49168.
 2004 10 76169.
 2004 11 47215.
 2004 12 87148.
 2005 01  39190.
 2005 02  68174·
 2005 03  88198.
 2005 04  13160.
 2005 05  31195.
 2005 06  9171.
 2005 07  20181·
 2005 08  91191·
 2005 09  82240.
 2005 10  87224.
 2005 11  62211.
 2005 12  72242·
 2006 01 74210.
 2006 02 15200.
 2006 03 57198·
 2006 04 31206.
 2006 05 15199·
 2006 06 30202.
 2006 07 75177·
 2006 08 69168.
 2006 09 34160·
 2006 10 96167·
 2006 11 10161·
 2006 12 10160.
 2007 01  90159.
 2007 02  1146.
 2007 03  81141·
 2007 04  6162·
 2007 05  63162.
 2007 06  56138·
 2007 07  33200.
 2007 08  31172·
 2007 09  60145·
 2007 10  1159·
 2007 11  34164.
 2007 12  86156.
 2008 01 13148·
 2008 02 98159.
 2008 03 78112·
 2008 04 97185·
 2008 05 79135.
 2008 06 35150·
 2008 07 86152·
 2008 08 13149.
 2008 09 39110.
 2008 10 25108.
 2008 11 089·
 2008 12 1183.
 2009 01  077.
 2009 02  591·
 2009 03  9085.
 2009 04  9071.
 2009 05  9377.
 2009 06  4075.
 2009 07  5068.
 2009 08  7658·
 2009 09  7573.
 2009 10  1561·
 2009 11  094.
 2009 12  1987·
 2010 01 2896·
 2010 02 4577·
 2010 03 8377.
 2010 04 9669·
 2010 05 5857.
 2010 06 6862·
 2010 07 6973·
 2010 08 587·
 2010 09 9883·
 2010 10 4676.
 2010 11 5159·
 2010 12 7392.
 2011 01  363.
 2011 02  6659·
 2011 03  4971·
 2011 04  50104·
 2011 05  5587·
 2011 06  4375·
 2011 07  771·
 2011 08  1169.
 2011 09  6282·
 2011 10  1477·
 2011 11  95118.
 2011 12  5773.
 2012 01 5364.
 2012 02 4177·
 2012 03 591·
 2012 04 1371·
 2012 05 8881·
 2012 06 1393.
 2012 07 5880.
 2012 08 2973.
 2012 09 4572.
 2012 10 43107.
 2012 11 9897·
 2012 12 8178·
 2013 01  34126·
 2013 02  68117·
 2013 03  9394.
 2013 04  70101·
 2013 05  8498.
 2013 06  51105·
 2013 07  38100.
 2013 08  2094.
 2013 09  5495.
 2013 10  8196.
 2013 11  5278.
 2013 12  8284.
 2014 01 2491.
 2014 02 6995.
 2014 03 7988·
 2014 04 32119·
 2014 05 0120·
 2014 06 55113·
 2014 07 89107.
 2014 08 69121.
 2014 09 16113.
 2014 10 1112·
 2014 11 7584.
 2014 12 20134·
 2015 01  27113.
 2015 02  94126·
 2015 03  56112·
 2015 04  34121.
 2015 05  15116.
 2015 06  48110·
 2015 07  77107.
 2015 08  88104.
 2015 09  86125.
 2015 10  193.
 2015 11  7118·
 2015 12  80137.


 2016 01 7380·
 2016 02 1597.
 2016 03 40145.
 2016 04 38114·
 2016 05 32118·
 2016 06 78104·
 2016 07 95127.
 2016 08 10146·
 2016 09 44122·
 2016 10 4127·
 2016 11 16150.
 2016 12 74134·
 2017 01  16151.
 2017 02  30162·
 2017 03  72169·
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 Series Title: Quits: Construction: US: 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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