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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 9138.
 2001 01  8940.
 2001 02  8221·
 2001 03  3328.
 2001 04  3431·
 2001 05  7530·
 2001 06  5027·
 2001 07  8233.
 2001 08  7544·
 2001 09  9122.
 2001 10  5127·
 2001 11  6115.
 2001 12  6421.
 2002 01 1940.
 2002 02 9726.
 2002 03 1321·
 2002 04 7627.
 2002 05 6427.
 2002 06 2527.
 2002 07 927·
 2002 08 1230·
 2002 09 5920.
 2002 10 029·
 2002 11 4226.
 2002 12 9727·
 2003 01  6039.
 2003 02  831.
 2003 03  3220·
 2003 04  8238.
 2003 05  4919.
 2003 06  6319.
 2003 07  2222·
 2003 08  4223·
 2003 09  3321.
 2003 10  321·
 2003 11  8217·
 2003 12  7726·
 2004 01 4325.
 2004 02 8917.
 2004 03 622·
 2004 04 1219.
 2004 05 3522·
 2004 06 1221.
 2004 07 1321.
 2004 08 9920.
 2004 09 9320·
 2004 10 8212.
 2004 11 4711.
 2004 12 1216·
 2005 01  2126·
 2005 02  3818.
 2005 03  7817·
 2005 04  5225·
 2005 05  5228.
 2005 06  4319.
 2005 07  9934.
 2005 08  4534.
 2005 09  4227.
 2005 10  8627·
 2005 11  2921·
 2005 12  4030.
 2006 01 7431·
 2006 02 7725.
 2006 03 1323·
 2006 04 1319·
 2006 05 5320·
 2006 06 5734·
 2006 07 2031.
 2006 08 6522·
 2006 09 1218·
 2006 10 8720·
 2006 11 4512.
 2006 12 2018.
 2007 01  630.
 2007 02  5529·
 2007 03  517·
 2007 04  3024·
 2007 05  1824·
 2007 06  7531.
 2007 07  4613.
 2007 08  6919.
 2007 09  5513.
 2007 10  8411·
 2007 11  3616·
 2007 12  3814.
 2008 01 4723.
 2008 02 4513·
 2008 03 6922·
 2008 04 6318.
 2008 05 5218·
 2008 06 4614·
 2008 07 6616·
 2008 08 9315·
 2008 09 5118.
 2008 10 029·
 2008 11 6911.
 2008 12 513·
 2009 01  5129.
 2009 02  4412·
 2009 03  4815.
 2009 04  9814·
 2009 05  8314·
 2009 06  4326·
 2009 07  9810·
 2009 08  9921·
 2009 09  420·
 2009 12  8211·
 2010 01 3617·
 2010 02 5610·
 2010 03 9610·
 2010 04 7716.
 2010 05 812·
 2010 06 4614·
 2010 07 6614.
 2010 08 6311.
 2010 10 8316·
 2010 12 7019·
 2011 01  4417.
 2011 02  513.
 2011 03  5410·
 2011 04  5213·
 2011 05  8813·
 2011 06  9015.
 2011 07  4216.
 2011 08  4315.
 2011 09  8014.
 2011 10  3014·
 2011 12  8911.
 2012 01 1822·
 2012 02 2512·
 2012 03 6516.
 2012 04 6517.
 2012 05 7815.
 2012 06 5612.
 2012 07 5710·
 2012 08 6516.
 2012 09 4812.
 2012 10 2910.
 2012 12 9311·
 2013 01  716·
 2013 02  7812·
 2013 04  2613·
 2013 05  8616.
 2013 06  3615·
 2013 07  4520.
 2013 08  5415.
 2013 09  7511.
 2013 10  2011·
 2013 12  4720.
 2014 01 4320.
 2014 02 2311·
 2014 03 5416·
 2014 04 1113·
 2014 05 5214.
 2014 06 1726·
 2014 07 5716.
 2014 08 8814.
 2014 09 6111.
 2014 10 6915·
 2014 12 7312·
 2015 01  5118·
 2015 02  7711.
 2015 03  1914·
 2015 04  7214·
 2015 05  317·
 2015 06  3115·
 2015 07  2914·
 2015 08  4714·
 2015 09  6812.
 2015 10  8115.
 2015 11  8612.
 2015 12  1718·
 2016 01 9618.
 2016 02 812.
 2016 03 421.
 2016 04 2716.
 2016 05 6313.
 2016 06 1915·
 2016 07 2118.
 2016 08 4611.
 2016 09 7017.
 2016 10 4413.
 2016 11 9910·
 2016 12 6816.
 2017 01  4217·
 2017 02  4214·
 2017 03  2711·
 2017 04  1214.


 2017 05  2810·
 2017 06  9317.
 2017 07  1614.
 2017 08  2210·
 2017 09  613.
 2017 10  511.
 2017 11  610·
 2017 12  6812·
 2018 01 7422·
 2018 02 810·
 2018 03 5912·
 2018 04 4313.
 2018 05 5813·
 2018 06 6015·
 2018 07 6316.
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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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