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 Series Title: Other separations: 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 2549.
 2001 01  3857·
 2001 02  2535.
 2001 03  2637·
 2001 04  644.
 2001 05  3039·
 2001 06  6839.
 2001 07  1843·
 2001 08  5962·
 2001 09  2731.
 2001 10  1944·
 2001 11  1524·
 2001 12  3537.
 2002 01 1059·
 2002 02 8937.
 2002 03 6133.
 2002 04 944·
 2002 05 8636·
 2002 06 1739·
 2002 07 2542·
 2002 08 8244.
 2002 09 8728·
 2002 10 6748.
 2002 11 243·
 2002 12 7938.
 2003 01  6960·
 2003 02  2446·
 2003 03  1034.
 2003 04  5152·
 2003 05  1432.
 2003 06  431.
 2003 07  9338.
 2003 08  7339.
 2003 09  2935.
 2003 10  4335.
 2003 11  2225.
 2003 12  4538·
 2004 01 4439.
 2004 02 425.
 2004 03 8929.
 2004 04 9328.
 2004 05 1831·
 2004 06 7633·
 2004 07 1429.
 2004 08 6628·
 2004 09 3128.
 2004 10 7120.
 2004 11 4218·
 2004 12 4232·
 2005 01  9040·
 2005 02  2727.
 2005 03  4027.
 2005 04  1937.
 2005 05  2735.
 2005 06  725·
 2005 07  545·
 2005 08  2444.
 2005 09  9835·
 2005 10  9937.
 2005 11  5427·
 2005 12  641.
 2006 01 8650·
 2006 02 1538·
 2006 03 3134.
 2006 04 4133·
 2006 05 9629·
 2006 06 9442·
 2006 07 741.
 2006 08 3031·
 2006 09 6030·
 2006 10 9931.
 2006 11 7423·
 2006 12 9726·
 2007 01  3640·
 2007 02  1738.
 2007 03  5325·
 2007 04  9432.
 2007 05  434·
 2007 06  6138·
 2007 07  8722·
 2007 08  9527.
 2007 09  7126·
 2007 10  7021.
 2007 11  4528.
 2007 12  224.
 2008 01 6937·
 2008 02 524.
 2008 03 2233.
 2008 04 3930.
 2008 05 5527.
 2008 06 5625.
 2008 07 3725·
 2008 08 5623·
 2008 09 1029.
 2008 10 3440.
 2008 11 3419·
 2008 12 3019·
 2009 01  4034.
 2009 02  7817.
 2009 03  8123·
 2009 04  6022.
 2009 05  7822·
 2009 06  5134.
 2009 07  7418.
 2009 08  7328·
 2009 09  8128.
 2009 10  4118·
 2009 11  3111·
 2009 12  1721·
 2010 01 2929·
 2010 02 6016.
 2010 03 9721·
 2010 04 7022·
 2010 05 2919.
 2010 06 4619·
 2010 07 4023.
 2010 08 3020·
 2010 09 1314.
 2010 10 6221.
 2010 11 5414·
 2010 12 2426·
 2011 01  3825·
 2011 02  9618.
 2011 03  6019·
 2011 04  222·
 2011 05  8520·
 2011 06  6221·
 2011 07  125.
 2011 08  4023.
 2011 09  6220.
 2011 10  9623·
 2011 11  4511.
 2011 12  3720.
 2012 01 9832.
 2012 02 6224·
 2012 03 8823.
 2012 04 1925·
 2012 05 5222.
 2012 06 4818·
 2012 07 4920.
 2012 08 3625.
 2012 09 517·
 2012 10 6617.
 2012 11 7114·
 2012 12 6519.
 2013 01  6423.
 2013 02  5519.
 2013 03  2317.
 2013 04  425·
 2013 05  5930.
 2013 06  7725.
 2013 07  133·
 2013 08  8125·
 2013 09  4819.
 2013 10  2015.
 2013 11  2216·
 2013 12  4427.
 2014 01 1334·
 2014 02 9727.
 2014 03 3231.
 2014 04 7023·
 2014 05 6024·
 2014 06 4735·
 2014 07 9932·
 2014 08 5922·
 2014 09 2018.
 2014 10 3125.
 2014 11 1712.
 2014 12 3518·
 2015 01  5127·
 2015 02  3820·
 2015 03  624.
 2015 04  5125·
 2015 05  3427·
 2015 06  8125·
 2015 07  922·
 2015 08  8021·
 2015 09  7518·
 2015 10  9722.
 2015 11  9718.
 2015 12  2428.
 2016 01 727.
 2016 02 5026.
 2016 03 6230·


 2016 04 828.
 2016 05 8622.
 2016 06 2724·
 2016 07 2427.
 2016 08 8218.
 2016 09 9324·
 2016 10 4122·
 2016 11 2818·
 2016 12 2123·
 2017 01  3528·
 2017 02  3121.
 2017 03  4223·
 2017 04  2622·
 2017 05  4420.
 2017 06  5829·
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 Series Title: Other separations: 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

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

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