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 Series Title: Textile product mills, NAICS = 314: 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 71243·5
 1990 02 12242.5
 1990 03 43241·3
 1990 04 58239.8
 1990 05 78238·0
 1990 06 27236.0
 1990 07 29233·7
 1990 08 38233·9
 1990 09 90232.9
 1990 10 78231.0
 1990 11 54228.3
 1990 12 55226.9
 1991 01  56227.3
 1991 02  46224.9
 1991 03  30224·0
 1991 04  51223·3
 1991 05  52222.7
 1991 06  39223.9
 1991 07  95224.0
 1991 08  98224·7
 1991 09  77225.8
 1991 10  87226·6
 1991 11  12226·9
 1991 12  88227·0
 1992 01 58226.4
 1992 02 49226.8
 1992 03 69226·8
 1992 04 40227.6
 1992 05 45228.2
 1992 06 4228·2
 1992 07 79228.3
 1992 08 0227.6
 1992 09 13227.8
 1992 10 60228.5
 1992 11 80229.6
 1992 12 35229·6
 1993 01  62229·8
 1993 02  48230·4
 1993 03  35230·9
 1993 04  41231.2
 1993 05  19231.9
 1993 06  26231.7
 1993 07  31231·8
 1993 08  36232·9
 1993 09  32233·9
 1993 10  74234.5
 1993 11  81235.4
 1993 12  64236.6
 1994 01 79238·0
 1994 02 0238.8
 1994 03 24239.9
 1994 04 95241·0
 1994 05 59241.6
 1994 06 35243.3
 1994 07 22244.5
 1994 08 23245.7
 1994 09 97246.2
 1994 10 35245·9
 1994 11 63245·6
 1994 12 66246.6
 1995 01  44248·3
 1995 02  83247·3
 1995 03  60246.6
 1995 04  70244.9
 1995 05  75243.2
 1995 06  84241.3
 1995 07  51240.4
 1995 08  2239·7
 1995 09  92239.0
 1995 10  71239·3
 1995 11  98238·3
 1995 12  58237·8
 1996 01 18236.7
 1996 02 1237.6
 1996 03 91236.7
 1996 04 57236.8
 1996 05 4237.0
 1996 06 54237·4
 1996 07 41237·2
 1996 08 42237.4
 1996 09 27237·1
 1996 10 38237·2
 1996 11 86237.1
 1996 12 82237.0
 1997 01  86237.8
 1997 02  84237·8
 1997 03  90237·5
 1997 04  72236·5
 1997 05  6236·5
 1997 06  48236·1
 1997 07  40236·2
 1997 08  32235.6
 1997 09  39235.7
 1997 10  14235.6
 1997 11  49235·4
 1997 12  4235.2
 1998 01 59235·5
 1998 02 86235.7
 1998 03 55235.6
 1998 04 59235.9
 1998 05 67235.7
 1998 06 97235·1
 1998 07 21232·0
 1998 08 90234·8
 1998 09 88234.7
 1998 10 3233·9
 1998 11 34232.3
 1998 12 17233·8
 1999 01  72233.7
 1999 02  86232·5
 1999 03  9232.6
 1999 04  83232·2
 1999 05  96232.5
 1999 06  53232.7
 1999 07  82232·0
 1999 08  58231·7
 1999 09  59231·9
 1999 10  35232.0
 1999 11  16232.1
 1999 12  37232.0
 2000 01 87230.9
 2000 02 89232·1
 2000 03 0232.2
 2000 04 37231.6
 2000 05 30230.6
 2000 06 96229.7
 2000 07 46229.3
 2000 08 3228·9
 2000 09 63227·9
 2000 10 64227·8
 2000 11 92227·3
 2000 12 5227·2
 2001 01  87224·9
 2001 02  24224.9
 2001 03  1222·7
 2001 04  37221·7
 2001 05  28219·4
 2001 06  32219·1
 2001 07  61217·9
 2001 08  17212·8
 2001 09  36213·9
 2001 10  70211·1
 2001 11  85207·6
 2001 12  89208.3
 2002 01 85208.6
 2002 02 45207.0
 2002 03 10206·6
 2002 04 24206.1
 2002 05 78205.9
 2002 06 88204.9
 2002 07 0204·2
 2002 08 15203·0
 2002 09 38202·3
 2002 10 56201.9
 2002 11 43200·9
 2002 12 81199.2
 2003 01  16195.8
 2003 02  31196·9
 2003 03  51195.1
 2003 04  67192.3
 2003 05  88190.5
 2003 06  19189·5
 2003 07  62186.1
 2003 08  41180.3
 2003 09  54182·2
 2003 10  53181.3
 2003 11  39181·6
 2003 12  97181.6
 2004 01 40182.8
 2004 02 87182.3
 2004 03 71184.6
 2004 04 56186·3
 2004 05 95187·7
 2004 06 5185·4
 2004 07 69183·8
 2004 08 60183.2
 2004 09 96182·2
 2004 10 13181.2
 2004 11 72180·3
 2004 12 79179.6
 2005 01  42177·6
 2005 02  43177.3
 2005 03  43178.3
 2005 04  8178·6
 2005 05  59179·7
 2005 06  50176.9
 2005 07  69176·2
 2005 08  65175.4
 2005 09  98175.7
 2005 10  18175·2
 2005 11  64173·9
 2005 12  94173·0
 2006 01 33173·1
 2006 02 52172·2
 2006 03 66169.2
 2006 04 66166·1
 2006 05 66166.5
 2006 06 83166.6
 2006 07 36167·3
 2006 08 72166.7
 2006 09 22165·2
 2006 10 70163·6
 2006 11 64162·0
 2006 12 34161·0
 2007 01  50161·7
 2007 02  93161.6
 2007 03  62160.3
 2007 04  95160.2
 2007 05  27158.4
 2007 06  59158·1
 2007 07  67157·0
 2007 08  24155·9
 2007 09  52154·3
 2007 10  0153·8
 2007 11  44154·4
 2007 12  15153·3
 2008 01 52151.6
 2008 02 72151·1
 2008 03 79152.1
 2008 04 88151.7
 2008 05 76150.4
 2008 06 56146.9
 2008 07 86146.3
 2008 08 87144·9
 2008 09 0144.8
 2008 10 61143·6
 2008 11 2142.3
 2008 12 80140.4
 2009 01  24137·7
 2009 02  16134·0
 2009 03  91128·5
 2009 04  62126.1
 2009 05  74124.9
 2009 06  80124.0
 2009 07  40122·8
 2009 08  52123·0
 2009 09  0123·4
 2009 10  33122·4
 2009 11  62121·5
 2009 12  95120·3
 2010 01 78119.8
 2010 02 82119.6
 2010 03 96118.9
 2010 04 58119·5
 2010 05 8120.3
 2010 06 59120·2
 2010 07 3120·2
 2010 08 37119·4
 2010 09 15119.9
 2010 10 20118·3
 2010 11 72116·5
 2010 12 51117.2
 2011 01  49117.1
 2011 02  47117.9
 2011 03  16118·5
 2011 04  44118.7
 2011 05  87118·8
 2011 06  47118·9
 2011 07  72119.0
 2011 08  84119·1
 2011 09  28116·8
 2011 10  51116·1
 2011 11  4116.2
 2011 12  66115·4
 2012 01 98114·8
 2012 02 16116.3
 2012 03 0116.7
 2012 04 10117.5
 2012 05 47117·5
 2012 06 24116.7
 2012 07 71115·9
 2012 08 59115.6
 2012 09 50115·3
 2012 10 81116·0
 2012 11 57115·5
 2012 12 82116.5
 2013 01  9116·6
 2013 02  19116.1
 2013 03  20115.2
 2013 04  74114·0
 2013 05  48113.5
 2013 06  95114.0
 2013 07  48113.0
 2013 08  53113.8
 2013 09  18114.1
 2013 10  90113·5
 2013 11  54114.2
 2013 12  65113.8
 2014 01 94113·4
 2014 02 10113.4
 2014 03 75114·2
 2014 04 77113.9
 2014 05 77113·8
 2014 06 88113·5
 2014 07 76115.9
 2014 08 85116.3
 2014 09 92115·9
 2014 10 80116·2
 2014 11 42116.2
 2014 12 7117.1
 2015 01  89115·8
 2015 02  68115·9
 2015 03  88115.8
 2015 04  87116·5
 2015 05  44116·7


 2015 06  58116.2
 2015 07  52117·0
 2015 08  95116.5
 2015 09  56116·7
 2015 10  82117·1
 2015 11  96116.9
 2015 12  24116.9
 2016 01 53117.9
 2016 02 97117·9
 2016 03 7117.5
 2016 04 95117·1
 2016 05 83117.2
 2016 06 84116·3
 2016 07 0115·0
 2016 08 50114.6
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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 product mills, NAICS = 314: All Employees, Thousands, SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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