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 Series Title: Other separations: Durable goods manufacturing: US: 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 8738.
 2001 01  7940·
 2001 02  3521·
 2001 03  7828·
 2001 04  5331.
 2001 05  830.
 2001 06  9227·
 2001 07  8533·
 2001 08  4844·
 2001 09  9822·
 2001 10  1227.
 2001 11  5415·
 2001 12  2221·
 2002 01 3140·
 2002 02 926.
 2002 03 2821.
 2002 04 5127.
 2002 05 1327.
 2002 06 2027.
 2002 07 7627.
 2002 08 3530·
 2002 09 7620·
 2002 10 829.
 2002 11 9326.
 2002 12 9927·
 2003 01  7739·
 2003 02  6131.
 2003 03  9720·
 2003 04  9438.
 2003 05  9619·
 2003 06  9219·
 2003 07  3422·
 2003 08  9523.
 2003 09  4221.
 2003 10  3821.
 2003 11  7117.
 2003 12  326.
 2004 01 4525·
 2004 02 6317.
 2004 03 422·
 2004 04 4219.
 2004 05 6222.
 2004 06 5521.
 2004 07 5121·
 2004 08 6420·
 2004 09 7420·
 2004 10 2612.
 2004 11 5611.
 2004 12 4416.
 2005 01  9026·
 2005 02  1518.
 2005 03  8917.
 2005 04  8225.
 2005 05  3928.
 2005 06  8319.
 2005 07  4434·
 2005 08  334.
 2005 09  7927·
 2005 10  2027.
 2005 11  3921.
 2005 12  5930.
 2006 01 9131.
 2006 02 3825.
 2006 03 2023.
 2006 04 2319·
 2006 05 8220.
 2006 06 7534.
 2006 07 5431·
 2006 08 9822.
 2006 09 8318.
 2006 10 9320·
 2006 11 3712·
 2006 12 718.
 2007 01  5230.
 2007 02  8129·
 2007 03  8717·
 2007 04  224.
 2007 05  7024·
 2007 06  5231·
 2007 07  4913·
 2007 08  5819·
 2007 09  4313·
 2007 10  4311.
 2007 11  9216.
 2007 12  7514·
 2008 01 423.
 2008 02 1713·
 2008 03 922.
 2008 04 7818.
 2008 05 818.
 2008 06 6314·
 2008 07 2016.
 2008 08 1915·
 2008 09 3718·
 2008 10 9229·
 2008 11 7011.
 2008 12 7213.
 2009 01  9929·
 2009 02  4412·
 2009 03  2615.
 2009 04  3814.
 2009 05  2414.
 2009 06  8126·
 2009 07  8410·
 2009 08  4221.
 2009 09  7020.
 2009 12  9011.
 2010 01 6317·
 2010 02 3510.
 2010 03 1710·
 2010 04 8516·
 2010 05 612.
 2010 06 9214.
 2010 07 7414.
 2010 08 411·
 2010 10 8316·
 2010 12 1319.
 2011 01  7017·
 2011 02  913·
 2011 03  8910·
 2011 04  2413.
 2011 05  6413·
 2011 06  8815.
 2011 07  4116·
 2011 08  7515.
 2011 09  3614·
 2011 10  5514·
 2011 12  8411.
 2012 01 4222·
 2012 02 9312·
 2012 03 4716.
 2012 04 8817·
 2012 05 2515·
 2012 06 6712.
 2012 07 2710.
 2012 08 4616.
 2012 09 4912.
 2012 10 1410.
 2012 12 8211·
 2013 01  7816.
 2013 02  6412.
 2013 04  1713·
 2013 05  2716.
 2013 06  2815·
 2013 07  4720·
 2013 08  8115·
 2013 09  9811.
 2013 10  6511·
 2013 12  9820·
 2014 01 3920.
 2014 02 5911.
 2014 03 8316·
 2014 04 4113·
 2014 05 4714·
 2014 06 9726.
 2014 07 116·
 2014 08 2714.
 2014 09 8611.
 2014 10 2615.
 2014 12 6312.
 2015 01  3318.
 2015 02  6411·
 2015 03  8314.
 2015 04  3914·
 2015 05  5717.
 2015 06  1115·
 2015 07  3114.
 2015 08  2314·
 2015 09  2612.
 2015 10  8615.
 2015 11  5812.
 2015 12  3318.
 2016 01 8918·
 2016 02 6812.
 2016 03 7721.
 2016 04 1416.
 2016 05 2313.
 2016 06 6615.
 2016 07 2618·
 2016 08 3611·
 2016 09 2817·
 2016 10 913.
 2016 11 6710.
 2016 12 9116·


 2017 01  2817.
 2017 02  5614·
 2017 03  8911.
 2017 04  014.
 2017 05  7510·
 2017 06  8817.
 2017 07  514·
 2017 08  710·
 2017 09  4413.
 2017 10  1211.
 2017 11  5210.
 2017 12  8012.
 2018 01 3522·
 2018 02 5810·
 2018 03 9314·
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 Series Title: Other separations: Durable goods manufacturing: US: 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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