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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 1038·
 2001 01  7540.
 2001 02  5821.
 2001 03  6228.
 2001 04  1531.
 2001 05  4430·
 2001 06  8227.
 2001 07  8833·
 2001 08  544·
 2001 09  3122·
 2001 10  2527.
 2001 11  3115.
 2001 12  3021·
 2002 01 1740.
 2002 02 126.
 2002 03 3621.
 2002 04 6627.
 2002 05 827·
 2002 06 4827·
 2002 07 7227·
 2002 08 1430.
 2002 09 3620·
 2002 10 2829·
 2002 11 3226·
 2002 12 9827.
 2003 01  5839.
 2003 02  2931.
 2003 03  3620.
 2003 04  6938.
 2003 05  5619·
 2003 06  6419·
 2003 07  2922.
 2003 08  323.
 2003 09  3621·
 2003 10  7121.
 2003 11  7817.
 2003 12  9926.
 2004 01 2925.
 2004 02 1317·
 2004 03 7922.
 2004 04 8419·
 2004 05 9222.
 2004 06 7821.
 2004 07 5121.
 2004 08 720·
 2004 09 820.
 2004 10 7912·
 2004 11 3711.
 2004 12 4516·
 2005 01  8226.
 2005 02  5318.
 2005 03  717·
 2005 04  9625.
 2005 05  4728·
 2005 06  6319.
 2005 07  5534·
 2005 08  8834·
 2005 09  5827·
 2005 10  9827·
 2005 11  121·
 2005 12  6930.
 2006 01 9831·
 2006 02 7025.
 2006 03 8723.
 2006 04 1719.
 2006 05 7320·
 2006 06 1834·
 2006 07 8431·
 2006 08 3022.
 2006 09 1518.
 2006 10 320.
 2006 11 8512·
 2006 12 3418·
 2007 01  8130.
 2007 02  1429.
 2007 03  1017·
 2007 04  8024·
 2007 05  5124·
 2007 06  6431·
 2007 07  313.
 2007 08  4419·
 2007 09  3413.
 2007 10  9111.
 2007 11  3216·
 2007 12  2414.
 2008 01 5923.
 2008 02 5713·
 2008 03 9322·
 2008 04 4818.
 2008 05 8518·
 2008 06 5114.
 2008 07 416.
 2008 08 6515·
 2008 09 9218·
 2008 10 8529·
 2008 11 1011.
 2008 12 5113·
 2009 01  8829·
 2009 02  9712.
 2009 03  7915·
 2009 04  614·
 2009 05  414·
 2009 06  5126.
 2009 07  510·
 2009 08  5521.
 2009 09  9620.
 2009 12  3311.
 2010 01 817.
 2010 02 4910·
 2010 03 4610.
 2010 04 5816.
 2010 05 3312·
 2010 06 6314·
 2010 07 6214.
 2010 08 6211·
 2010 10 4716.
 2010 12 9819·
 2011 01  7417.
 2011 02  913.
 2011 03  4610.
 2011 04  7913·
 2011 05  3913.
 2011 06  8715.
 2011 07  4816·
 2011 08  5715.
 2011 09  3814.
 2011 10  814.
 2011 12  9711.
 2012 01 622.
 2012 02 8012·
 2012 03 1016·
 2012 04 6317·
 2012 05 2715.
 2012 06 9412.
 2012 07 5710.
 2012 08 4016·
 2012 09 4612·
 2012 10 3810.
 2012 12 3611·
 2013 01  4616·
 2013 02  1312·
 2013 04  9313.
 2013 05  6016·
 2013 06  2715.
 2013 07  320·
 2013 08  6715.
 2013 09  6711.
 2013 10  5111.
 2013 12  1820.
 2014 01 9020.
 2014 02 1911·
 2014 03 1216·
 2014 04 8113.
 2014 05 1914.
 2014 06 626·
 2014 07 3016.
 2014 08 4414.
 2014 09 3611.
 2014 10 3915·
 2014 12 4912·
 2015 01  8118.
 2015 02  4811.
 2015 03  5614·
 2015 04  3714·
 2015 05  9417·
 2015 06  8615.
 2015 07  2114.
 2015 08  8914.
 2015 09  812.
 2015 10  715.
 2015 11  2212.
 2015 12  2418.
 2016 01 7318·
 2016 02 9212.
 2016 03 7021·
 2016 04 8616.
 2016 05 6413·
 2016 06 4915.
 2016 07 418.
 2016 08 4511.
 2016 09 8317.
 2016 10 813·
 2016 11 8810·
 2016 12 9416·
 2017 01  5317.
 2017 02  2714.
 2017 03  811.
 2017 04  5214·
 2017 05  2610.
 2017 06  8617·


 2017 07  7814.
 2017 08  6510·
 2017 09  7813.
 2017 10  9411·
 2017 11  3610.
 2017 12  012·
 2018 01 722·
 2018 02 8010·
 2018 03 4412·
 2018 04 5213.
 2018 05 4113·
 2018 06 315.
 2018 07 9017.
 2018 09 4111·
 2018 10 2912·
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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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