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 Series Title: Hires: 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 29422·
 2001 01  29500.
 2001 02  73520·
 2001 03  59513·
 2001 04  7459·
 2001 05  39457.
 2001 06  80447.
 2001 07  85448·
 2001 08  89409.
 2001 09  85412.
 2001 10  25432.
 2001 11  47457·
 2001 12  25433.
 2002 01 49422·
 2002 02 21418·
 2002 03 89411.
 2002 04 91414.
 2002 05 37409.
 2002 06 7430·
 2002 07 81455.
 2002 08 87402·
 2002 09 80444.
 2002 10 44428.
 2002 11 16407·
 2002 12 38436.
 2003 01  37449.
 2003 02  22364.
 2003 03  14398·
 2003 04  95452.
 2003 05  87445·
 2003 06  52448.
 2003 07  19447.
 2003 08  33498·
 2003 09  39461·
 2003 10  73430·
 2003 11  99470.
 2003 12  53465.
 2004 01 23442·
 2004 02 48434·
 2004 03 50508.
 2004 04 80449.
 2004 05 95436.
 2004 06 65467·
 2004 07 91411·
 2004 08 64447·
 2004 09 39453.
 2004 10 35470·
 2004 11 64458·
 2004 12 81445.
 2005 01  60455·
 2005 02  98493·
 2005 03  41439.
 2005 04  31507·
 2005 05  90499.
 2005 06  17474·
 2005 07  14416.
 2005 08  39523·
 2005 09  86527·
 2005 10  78492·
 2005 11  2490.
 2005 12  57475·
 2006 01 29479.
 2006 02 95467.
 2006 03 51489.
 2006 04 59452·
 2006 05 26475.
 2006 06 7411·
 2006 07 29436·
 2006 08 45417·
 2006 09 8395.
 2006 10 75394·
 2006 11 30467.
 2006 12 42438·
 2007 01  33419.
 2007 02  87318.
 2007 03  74466·
 2007 04  99382·
 2007 05  81404.
 2007 06  58429.
 2007 07  4401.
 2007 08  92405.
 2007 09  61389.
 2007 10  23402.
 2007 11  90374·
 2007 12  21371·
 2008 01 2376.
 2008 02 47378·
 2008 03 26397·
 2008 04 11382.
 2008 05 62351·
 2008 06 17385·
 2008 07 30353·
 2008 08 14400.
 2008 09 22330·
 2008 10 47377.
 2008 11 48336.
 2008 12 5340.
 2009 01  90353·
 2009 02  73330.
 2009 03  48311.
 2009 04  83326·
 2009 05  96332.
 2009 06  59256·
 2009 07  25324.
 2009 08  74253·
 2009 09  97319.
 2009 10  93309.
 2009 11  97316·
 2009 12  29341·
 2010 01 76315·
 2010 02 88273·
 2010 03 8409.
 2010 04 23368.
 2010 05 38306.
 2010 06 81273·
 2010 07 29344·
 2010 08 56326·
 2010 09 15319·
 2010 10 36353.
 2010 11 52341·
 2010 12 54374·
 2011 01  65279.
 2011 02  40345·
 2011 03  98377.
 2011 04  67369.
 2011 05  67375·
 2011 06  6374·
 2011 07  10345.
 2011 08  71330·
 2011 09  30376.
 2011 10  73329·
 2011 11  57312·
 2011 12  66313·
 2012 01 85328·
 2012 02 2335·
 2012 03 33303.
 2012 04 77291.
 2012 05 89328.
 2012 06 82355.
 2012 07 59360·
 2012 08 55336.
 2012 09 22351.
 2012 10 27318.
 2012 11 77391·
 2012 12 75306.
 2013 01  92331.
 2013 02  72377·
 2013 03  57357.
 2013 04  37294.
 2013 05  31330.
 2013 06  83330·
 2013 07  93312.
 2013 08  68302·
 2013 09  94317.
 2013 10  46329.
 2013 11  5305.
 2013 12  16277·
 2014 01 65288·
 2014 02 74267·
 2014 03 35266·
 2014 04 59302.
 2014 05 48323.
 2014 06 5279.
 2014 07 55392.
 2014 08 95332·
 2014 09 77299.
 2014 10 3317.
 2014 11 57318.
 2014 12 51394·
 2015 01  7360·
 2015 02  55323·
 2015 03  60312·
 2015 04  77339·
 2015 05  20313.
 2015 06  73335·
 2015 07  10304·
 2015 08  48327.
 2015 09  24341.
 2015 10  97324·
 2015 11  75342.
 2015 12  64315·
 2016 01 48292·
 2016 02 88347.
 2016 03 49357·


 2016 04 52335.
 2016 05 51314·
 2016 06 35278.
 2016 07 51335.
 2016 08 61339·
 2016 09 14317·
 2016 10 50343.
 2016 11 26337.
 2016 12 67400·
 2017 01  43387·
 2017 02  71367.
 2017 03  42372·
 2017 04  70375.
 2017 05  70368·
 2017 06  62348·
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 Series Title: Hires: 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

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