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 Series Title: Textile mills, NAICS = 313: All Employees, Thousands, SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1990 01 0503.3
 1990 02 42500·1
 1990 03 28497.7
 1990 04 28495·8
 1990 05 38491.1
 1990 06 56491.3
 1990 07 82487.2
 1990 08 45489·3
 1990 09 56488·3
 1990 10 82489.3
 1990 11 50485·3
 1990 12 74483·0
 1991 01  3482·9
 1991 02  0477.6
 1991 03  45478·3
 1991 04  58477·4
 1991 05  54478.2
 1991 06  17478·8
 1991 07  3479·8
 1991 08  66480.3
 1991 09  10480.2
 1991 10  65483·6
 1991 11  89481.0
 1991 12  93480·5
 1992 01 97479.2
 1992 02 1479.9
 1992 03 89480·3
 1992 04 58479.5
 1992 05 65478.9
 1992 06 6478·7
 1992 07 18478.8
 1992 08 5478.1
 1992 09 89479.1
 1992 10 86478.3
 1992 11 12477·6
 1992 12 2478·9
 1993 01  69479.1
 1993 02  75480.2
 1993 03  35479.6
 1993 04  45481·2
 1993 05  31481·1
 1993 06  27479.9
 1993 07  74478.6
 1993 08  52475·9
 1993 09  26477·9
 1993 10  25477.2
 1993 11  43475.9
 1993 12  68477.3
 1994 01 28477.6
 1994 02 75475·8
 1994 03 79476.1
 1994 04 61475.2
 1994 05 39475.6
 1994 06 9476·9
 1994 07 46477·7
 1994 08 25479.1
 1994 09 83478.8
 1994 10 84480·0
 1994 11 30480·2
 1994 12 81480·4
 1995 01  11480.9
 1995 02  82480.9
 1995 03  45479·5
 1995 04  72479·6
 1995 05  98474.1
 1995 06  8470.9
 1995 07  30464.6
 1995 08  66464.7
 1995 09  45461.9
 1995 10  95457·8
 1995 11  46456.6
 1995 12  59453·2
 1996 01 77449·3
 1996 02 99448·4
 1996 03 81446.1
 1996 04 70442.8
 1996 05 45444.1
 1996 06 1443.7
 1996 07 50442·8
 1996 08 42442.4
 1996 09 23440.3
 1996 10 10441·3
 1996 11 88438·9
 1996 12 44437.9
 1997 01  13438·3
 1997 02  55436.7
 1997 03  60438.7
 1997 04  72436.6
 1997 05  39436·1
 1997 06  95436.3
 1997 07  54435·8
 1997 08  43434·6
 1997 09  53434·4
 1997 10  9435.3
 1997 11  81434.5
 1997 12  3435·6
 1998 01 29433.9
 1998 02 6433·5
 1998 03 80432.2
 1998 04 20431·4
 1998 05 67429.9
 1998 06 17426.7
 1998 07 15422.4
 1998 08 88419·4
 1998 09 94420·1
 1998 10 97417·2
 1998 11 72414.5
 1998 12 27412.0
 1999 01  60409.6
 1999 02  30406·9
 1999 03  64404·0
 1999 04  80401.5
 1999 05  39398.7
 1999 06  22396·6
 1999 07  31395·8
 1999 08  18393.1
 1999 09  33391.9
 1999 10  3390·9
 1999 11  34388.5
 1999 12  33387.1
 2000 01 66384·9
 2000 02 32384·4
 2000 03 61383.2
 2000 04 45381.7
 2000 05 90380.5
 2000 06 89380.0
 2000 07 25379·5
 2000 08 99379·5
 2000 09 80376.2
 2000 10 81373·1
 2000 11 64370·9
 2000 12 63367·5
 2001 01  35364·7
 2001 02  40353·0
 2001 03  42352·2
 2001 04  31346.5
 2001 05  82341·7
 2001 06  23335·8
 2001 07  45330·4
 2001 08  23323·7
 2001 09  70318.7
 2001 10  11314·2
 2001 11  87308.7
 2001 12  83306.3
 2002 01 75302.0
 2002 02 10298·5
 2002 03 6297·0
 2002 04 80295·2
 2002 05 98293·4
 2002 06 53291.8
 2002 07 65291·4
 2002 08 8289·5
 2002 09 64286.5
 2002 10 96283·8
 2002 11 51282.4
 2002 12 87280.4
 2003 01  23279·4
 2003 02  21276.9
 2003 03  77274.1
 2003 04  59271·2
 2003 05  51267·0
 2003 06  33264.8
 2003 07  82256.9
 2003 08  95253.7
 2003 09  48251.7
 2003 10  66249.3
 2003 11  27247·2
 2003 12  89243.4
 2004 01 40241·6
 2004 02 76239·8
 2004 03 2240.7
 2004 04 59240·4
 2004 05 76239.1
 2004 06 43237.6
 2004 07 19236.6
 2004 08 51236.0
 2004 09 32235·1
 2004 10 76233·5
 2004 11 15231.4
 2004 12 32230.1
 2005 01  10227.0
 2005 02  5225.1
 2005 03  54223·6
 2005 04  98221.0
 2005 05  33220·4
 2005 06  87219·7
 2005 07  24217.6
 2005 08  67216.0
 2005 09  52214.2
 2005 10  4212·5
 2005 11  37209·2
 2005 12  84207.9
 2006 01 44207·8
 2006 02 63206·0
 2006 03 32202·7
 2006 04 17201.7
 2006 05 7199·1
 2006 06 94196·2
 2006 07 71194.6
 2006 08 61192.1
 2006 09 69187.8
 2006 10 55186·2
 2006 11 42184.3
 2006 12 35184.0
 2007 01  78180·0
 2007 02  28177.3
 2007 03  58175.8
 2007 04  83173·2
 2007 05  10171.2
 2007 06  19170·7
 2007 07  57167.8
 2007 08  74165.5
 2007 09  67164.5
 2007 10  59164.4
 2007 11  2163.9
 2007 12  2162.6
 2008 01 72161.7
 2008 02 5161·3
 2008 03 81159·0
 2008 04 87156.1
 2008 05 77154·5
 2008 06 40151.0
 2008 07 6148.9
 2008 08 73150·0
 2008 09 57148·2
 2008 10 69146·2
 2008 11 16140·7
 2008 12 28136.8
 2009 01  12133.5
 2009 02  24130.4
 2009 03  73128.3
 2009 04  48126·5
 2009 05  68125·2
 2009 06  62123.0
 2009 07  65120·6
 2009 08  50121·0
 2009 09  75120.3
 2009 10  64119·9
 2009 11  6121·0
 2009 12  79121·1
 2010 01 9120·1
 2010 02 38119·7
 2010 03 32119·1
 2010 04 5119.3
 2010 05 69119·1
 2010 06 14119·4
 2010 07 8119.7
 2010 08 21118·1
 2010 09 82118.3
 2010 10 50118·9
 2010 11 20118.6
 2010 12 47119·4
 2011 01  97119.3
 2011 02  27120·0
 2011 03  83120·5
 2011 04  27121·0
 2011 05  91120·9
 2011 06  52120.7
 2011 07  32121·3
 2011 08  29120·9
 2011 09  63120.1
 2011 10  56119.0
 2011 11  33117·9
 2011 12  49118·4
 2012 01 38119.3
 2012 02 95118.8
 2012 03 71118.8
 2012 04 4118.6
 2012 05 68118·4
 2012 06 53118·2
 2012 07 61118·5
 2012 08 40118·5
 2012 09 28119.4
 2012 10 35118.3
 2012 11 41118.3
 2012 12 25117.4
 2013 01  18117·0
 2013 02  72117·0
 2013 03  72116·9
 2013 04  54116.7
 2013 05  63116·7
 2013 06  22117·2
 2013 07  43116.9
 2013 08  46116.9
 2013 09  13116·7
 2013 10  67118·1
 2013 11  67116.8
 2013 12  45118·2
 2014 01 45117·2
 2014 02 12117.1
 2014 03 82117.1
 2014 04 19117·4
 2014 05 59116.7
 2014 06 89116.7
 2014 07 51116·6
 2014 08 64116·9
 2014 09 79117·2
 2014 10 56116·9
 2014 11 61117·3
 2014 12 98117·3
 2015 01  57117·6
 2015 02  93117.4
 2015 03  25117·1
 2015 04  65116.9
 2015 05  68117.8
 2015 06  8116.8
 2015 07  82116·6
 2015 08  35116.0
 2015 09  12115.8
 2015 10  32115·7
 2015 11  94115·6
 2015 12  2115.7
 2016 01 14116·7
 2016 02 21115·3
 2016 03 49114.9
 2016 04 85114·4
 2016 05 25114.1
 2016 06 58113·8
 2016 07 61113.6


 2016 08 27113·3
 2016 09 21112.9
 2016 10 49112·9
 2016 11 66112·5
 2016 12 99112·2
 2017 01  1111·9
 2017 02  25111.5
 2017 03  27110.8
 2017 04  94110·0
 2017 05  91109.8
 2017 06  43109.4
 2017 07  34109.4
 2017 08  31109.8
 2017 09  42110.7
 2017 10  86111.1
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NOTE: This is a small subset of the 4,000 series in group

Go here to search for other US employment data

Other than Total Employment by some 660 Industry Groupings, there is data on

Total Employment, Seasonally Adjusted

NOTE: This is a small subset of the 4,000 series in this group

Go here to search for other US employment data

Other than Total Employment by some 660 Industry Groupings, there is data on

  • Employment of Women
  • Employment of Production Workers; and
  • Average Weekly Hours and Earnings of All Employed, or Production Workers


 Series Title: Textile mills, NAICS = 313: All Employees, 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

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

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