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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 55503·3
 1990 02 61500.1
 1990 03 41497·7
 1990 04 66495.8
 1990 05 33491·1
 1990 06 39491·3
 1990 07 84487·2
 1990 08 98489.3
 1990 09 90488.3
 1990 10 29489·3
 1990 11 41485·3
 1990 12 40483·0
 1991 01  76482·9
 1991 02  11477.6
 1991 03  25478·3
 1991 04  38477.4
 1991 05  66478.2
 1991 06  92478.8
 1991 07  72479.8
 1991 08  61480.3
 1991 09  62480·2
 1991 10  4483.6
 1991 11  47481·0
 1991 12  2480·5
 1992 01 87479·2
 1992 02 4479·9
 1992 03 37480·3
 1992 04 81479.5
 1992 05 94478·9
 1992 06 73478·7
 1992 07 54478·8
 1992 08 41478.1
 1992 09 57479.1
 1992 10 18478·3
 1992 11 37477·6
 1992 12 53478.9
 1993 01  76479.1
 1993 02  70480.2
 1993 03  49479.6
 1993 04  10481·2
 1993 05  78481·1
 1993 06  86479·9
 1993 07  78478·6
 1993 08  31475·9
 1993 09  11477.9
 1993 10  48477·2
 1993 11  36475·9
 1993 12  61477.3
 1994 01 53477.6
 1994 02 62475·8
 1994 03 61476·1
 1994 04 68475·2
 1994 05 2475.6
 1994 06 61476·9
 1994 07 16477.7
 1994 08 46479·1
 1994 09 86478.8
 1994 10 0480·0
 1994 11 90480·2
 1994 12 16480·4
 1995 01  53480·9
 1995 02  61480·9
 1995 03  94479.5
 1995 04  21479.6
 1995 05  79474·1
 1995 06  51470.9
 1995 07  67464.6
 1995 08  30464·7
 1995 09  65461.9
 1995 10  2457.8
 1995 11  73456·6
 1995 12  37453.2
 1996 01 36449.3
 1996 02 70448·4
 1996 03 97446·1
 1996 04 61442·8
 1996 05 43444·1
 1996 06 37443·7
 1996 07 55442·8
 1996 08 47442·4
 1996 09 60440.3
 1996 10 10441.3
 1996 11 82438.9
 1996 12 64437.9
 1997 01  89438.3
 1997 02  19436.7
 1997 03  44438·7
 1997 04  5436.6
 1997 05  55436.1
 1997 06  23436·3
 1997 07  26435·8
 1997 08  91434.6
 1997 09  7434·4
 1997 10  1435.3
 1997 11  42434.5
 1997 12  65435.6
 1998 01 22433·9
 1998 02 62433.5
 1998 03 31432·2
 1998 04 96431.4
 1998 05 0429·9
 1998 06 37426.7
 1998 07 54422.4
 1998 08 78419.4
 1998 09 65420.1
 1998 10 82417.2
 1998 11 0414.5
 1998 12 31412.0
 1999 01  70409·6
 1999 02  78406.9
 1999 03  82404.0
 1999 04  98401.5
 1999 05  89398.7
 1999 06  34396.6
 1999 07  37395.8
 1999 08  50393·1
 1999 09  21391·9
 1999 10  80390·9
 1999 11  29388.5
 1999 12  79387.1
 2000 01 94384.9
 2000 02 72384·4
 2000 03 45383.2
 2000 04 5381.7
 2000 05 57380·5
 2000 06 94380.0
 2000 07 99379.5
 2000 08 73379·5
 2000 09 85376.2
 2000 10 50373·1
 2000 11 27370·9
 2000 12 51367.5
 2001 01  80364·7
 2001 02  73353·0
 2001 03  94352·2
 2001 04  34346.5
 2001 05  65341·7
 2001 06  20335·8
 2001 07  86330.4
 2001 08  40323.7
 2001 09  93318·7
 2001 10  72314.2
 2001 11  17308.7
 2001 12  14306·3
 2002 01 37302·0
 2002 02 35298·5
 2002 03 25297·0
 2002 04 25295·2
 2002 05 99293·4
 2002 06 42291·8
 2002 07 73291.4
 2002 08 67289.5
 2002 09 4286.5
 2002 10 49283·8
 2002 11 48282·4
 2002 12 59280·4
 2003 01  3279·4
 2003 02  38276·9
 2003 03  63274·1
 2003 04  46271.2
 2003 05  70267.0
 2003 06  15264·8
 2003 07  57256·9
 2003 08  96253·7
 2003 09  6251.7
 2003 10  12249·3
 2003 11  92247.2
 2003 12  4243·4
 2004 01 36241·6
 2004 02 85239.8
 2004 03 55240.7
 2004 04 88240.4
 2004 05 11239.1
 2004 06 17237·6
 2004 07 61236.6
 2004 08 94236·0
 2004 09 7235.1
 2004 10 13233·5
 2004 11 47231·4
 2004 12 89230.1
 2005 01  23227.0
 2005 02  6225·1
 2005 03  75223.6
 2005 04  69221·0
 2005 05  85220.4
 2005 06  53219.7
 2005 07  34217.6
 2005 08  52216.0
 2005 09  44214·2
 2005 10  34212·5
 2005 11  36209·2
 2005 12  83207.9
 2006 01 75207·8
 2006 02 56206.0
 2006 03 20202.7
 2006 04 30201.7
 2006 05 77199.1
 2006 06 52196·2
 2006 07 48194.6
 2006 08 88192.1
 2006 09 78187·8
 2006 10 77186·2
 2006 11 8184.3
 2006 12 76184.0
 2007 01  26180·0
 2007 02  14177·3
 2007 03  13175.8
 2007 04  38173·2
 2007 05  97171·2
 2007 06  68170·7
 2007 07  1167·8
 2007 08  43165·5
 2007 09  93164.5
 2007 10  73164·4
 2007 11  35163.9
 2007 12  86162.6
 2008 01 37161·7
 2008 02 83161.3
 2008 03 3159·0
 2008 04 85156·1
 2008 05 81154.5
 2008 06 82151·0
 2008 07 17148·9
 2008 08 85150·0
 2008 09 0148.2
 2008 10 75146·2
 2008 11 16140·7
 2008 12 54136·8
 2009 01  95133·5
 2009 02  94130.4
 2009 03  62128·3
 2009 04  87126.5
 2009 05  90125·2
 2009 06  96123.0
 2009 07  44120.6
 2009 08  4121.0
 2009 09  36120.3
 2009 10  63119.9
 2009 11  73121·0
 2009 12  47121.1
 2010 01 8120.1
 2010 02 0119·7
 2010 03 89119.1
 2010 04 87119·3
 2010 05 8119·1
 2010 06 41119·4
 2010 07 54119·7
 2010 08 17118.1
 2010 09 60118·3
 2010 10 41118·9
 2010 11 55118·6
 2010 12 57119.4
 2011 01  14119.3
 2011 02  82120.0
 2011 03  6120·5
 2011 04  51121.0
 2011 05  47120.9
 2011 06  70120.7
 2011 07  45121.3
 2011 08  67120.9
 2011 09  58120·1
 2011 10  38119.0
 2011 11  35117.9
 2011 12  1118·4
 2012 01 72119·3
 2012 02 42118·8
 2012 03 62118.8
 2012 04 70118.6
 2012 05 41118·4
 2012 06 64118·2
 2012 07 41118·5
 2012 08 20118·5
 2012 09 40119.4
 2012 10 10118·3
 2012 11 10118·3
 2012 12 20117.4
 2013 01  69117·0
 2013 02  11116·9
 2013 03  30116·9
 2013 04  63116.8
 2013 05  53116.8
 2013 06  25117.1
 2013 07  91117.0
 2013 08  69117.0
 2013 09  43116.8
 2013 10  34118·0
 2013 11  4117·0
 2013 12  81118·2
 2014 01 14116·3
 2014 02 43117·1
 2014 03 8117.1
 2014 04 70117·5
 2014 05 66116.9
 2014 06 84116·7
 2014 07 65116·7
 2014 08 29117.0
 2014 09 26117·2
 2014 10 15117·0
 2014 11 64117.2
 2014 12 77117.2
 2015 01  43116.7
 2015 02  17117·3
 2015 03  18117.0
 2015 04  58117.0
 2015 05  92117·9
 2015 06  95116.9
 2015 07  64116·4
 2015 08  42116.1
 2015 09  75115.7
 2015 10  83115.7
 2015 11  65115.5
 2015 12  23115·6
 2016 01 17115·7
 2016 02 37115·2
 2016 03 9114·9
 2016 04 20114.7
 2016 05 67114·7
 2016 06 38114.9
 2016 07 9114·5
 2016 08 76114.2
 2016 09 1113·7
 2016 10 92113·8
 2016 11 3113·8
 2016 12 62113.5
 2017 01  21113·4
 2017 02  33113.0
 2017 03  54112·7
 2017 04  71112.0
 2017 05  50112.1
 2017 06  15111·8


 2017 07  50111·3
 2017 08  23112·0
 2017 09  40113.0
 2017 10  22112·5
 2017 11  3111.7
 2017 12  61111.5
 2018 01 66111·4
 2018 02 58111.3
 2018 03 51111.3
 2018 04 54111.5
 2018 05 28111.6
 2018 06 57111.8
 2018 07 58111.7
 2018 08 98112·4
 2018 09 51111·6
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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

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