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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 92243·5
 1990 02 2242·5
 1990 03 12241.3
 1990 04 88239·8
 1990 05 19238·0
 1990 06 96236·0
 1990 07 13233·7
 1990 08 94233·9
 1990 09 42232.9
 1990 10 20231·0
 1990 11 47228·3
 1990 12 30226.9
 1991 01  14227.3
 1991 02  55224.9
 1991 03  25224.0
 1991 04  41223·3
 1991 05  9222.7
 1991 06  8223.9
 1991 07  87224.0
 1991 08  94224.7
 1991 09  28225·8
 1991 10  10226·6
 1991 11  94226.9
 1991 12  85227·0
 1992 01 96226·4
 1992 02 19226·8
 1992 03 36226.8
 1992 04 33227.6
 1992 05 63228·2
 1992 06 16228.2
 1992 07 23228·3
 1992 08 81227.6
 1992 09 6227·8
 1992 10 8228·5
 1992 11 95229·6
 1992 12 99229.6
 1993 01  23229.8
 1993 02  26230.4
 1993 03  15230·9
 1993 04  81231.2
 1993 05  42231·9
 1993 06  26231.7
 1993 07  70231·8
 1993 08  45232.9
 1993 09  11233.9
 1993 10  91234.5
 1993 11  73235.4
 1993 12  37236·6
 1994 01 7238.0
 1994 02 27238.8
 1994 03 62239.9
 1994 04 26241.0
 1994 05 30241.6
 1994 06 66243.3
 1994 07 0244.5
 1994 08 4245·7
 1994 09 6246·2
 1994 10 65245·9
 1994 11 75245.6
 1994 12 93246.6
 1995 01  83248·3
 1995 02  4247·3
 1995 03  0246·6
 1995 04  35244.9
 1995 05  39243·2
 1995 06  91241.3
 1995 07  12240.4
 1995 08  0239.7
 1995 09  74239.0
 1995 10  57239·3
 1995 11  75238.3
 1995 12  82237.8
 1996 01 12236.7
 1996 02 60237.6
 1996 03 76236.7
 1996 04 0236·8
 1996 05 5237.0
 1996 06 80237.4
 1996 07 29237·2
 1996 08 98237.4
 1996 09 27237·1
 1996 10 24237·2
 1996 11 71237·1
 1996 12 46237.0
 1997 01  79237.8
 1997 02  24237.8
 1997 03  64237·5
 1997 04  37236.5
 1997 05  86236·5
 1997 06  37236.1
 1997 07  98236·2
 1997 08  92235.6
 1997 09  0235.7
 1997 10  43235·6
 1997 11  85235.4
 1997 12  53235.2
 1998 01 94235·5
 1998 02 51235.7
 1998 03 62235.6
 1998 04 90235.9
 1998 05 70235.7
 1998 06 91235.1
 1998 07 93232.0
 1998 08 97234.8
 1998 09 53234·7
 1998 10 20233·9
 1998 11 66232.3
 1998 12 93233.8
 1999 01  93233·7
 1999 02  20232.5
 1999 03  93232·6
 1999 04  23232.2
 1999 05  67232·5
 1999 06  97232.7
 1999 07  12232·0
 1999 08  56231.7
 1999 09  73231·9
 1999 10  84232.0
 1999 11  87232·1
 1999 12  85232.0
 2000 01 38230.9
 2000 02 36232.1
 2000 03 4232.2
 2000 04 30231.6
 2000 05 11230.6
 2000 06 35229·7
 2000 07 78229·3
 2000 08 35228.9
 2000 09 69227.9
 2000 10 88227.8
 2000 11 45227·3
 2000 12 69227.2
 2001 01  12224·9
 2001 02  27224·9
 2001 03  70222·7
 2001 04  27221.7
 2001 05  65219·4
 2001 06  8219.1
 2001 07  39217.9
 2001 08  27212·8
 2001 09  78213.9
 2001 10  12211·1
 2001 11  65207·6
 2001 12  13208.3
 2002 01 27208.6
 2002 02 48207·0
 2002 03 87206·6
 2002 04 55206·1
 2002 05 13205.9
 2002 06 45204.9
 2002 07 67204.2
 2002 08 47203.0
 2002 09 60202.3
 2002 10 61201·9
 2002 11 94200·9
 2002 12 8199.2
 2003 01  19195.8
 2003 02  78196·9
 2003 03  79195.1
 2003 04  82192·3
 2003 05  65190.5
 2003 06  2189.5
 2003 07  62186·1
 2003 08  38180.3
 2003 09  0182.2
 2003 10  64181.3
 2003 11  4181.6
 2003 12  71181·6
 2004 01 47182.8
 2004 02 22182·3
 2004 03 95184·6
 2004 04 99186.3
 2004 05 58187·7
 2004 06 57185.4
 2004 07 45183·8
 2004 08 67183·2
 2004 09 8182.2
 2004 10 75181.2
 2004 11 95180·3
 2004 12 44179·6
 2005 01  98177·6
 2005 02  9177.3
 2005 03  6178·3
 2005 04  24178·6
 2005 05  52179·7
 2005 06  14176·9
 2005 07  66176.2
 2005 08  26175.4
 2005 09  22175·7
 2005 10  73175·2
 2005 11  89173.9
 2005 12  94173·0
 2006 01 82173·1
 2006 02 93172.2
 2006 03 11169·2
 2006 04 97166.1
 2006 05 33166·5
 2006 06 4166·6
 2006 07 97167·3
 2006 08 30166·7
 2006 09 0165.2
 2006 10 63163·6
 2006 11 34162.0
 2006 12 12161.0
 2007 01  34161·7
 2007 02  53161·6
 2007 03  34160·3
 2007 04  86160·2
 2007 05  11158·4
 2007 06  79158.1
 2007 07  36157.0
 2007 08  22155.9
 2007 09  29154·3
 2007 10  74153.8
 2007 11  3154.4
 2007 12  15153·3
 2008 01 16151·6
 2008 02 94151.1
 2008 03 22152.1
 2008 04 82151.7
 2008 05 21150·4
 2008 06 21146.9
 2008 07 6146·3
 2008 08 70144.9
 2008 09 19144.8
 2008 10 60143·6
 2008 11 94142·3
 2008 12 45140.4
 2009 01  12137.7
 2009 02  45134.0
 2009 03  48128·5
 2009 04  3126·1
 2009 05  24124.9
 2009 06  32124.0
 2009 07  56122.8
 2009 08  63123.0
 2009 09  6123.4
 2009 10  1122.4
 2009 11  31121·5
 2009 12  69120.3
 2010 01 33119.8
 2010 02 61119·6
 2010 03 11118·9
 2010 04 90119.5
 2010 05 6120·3
 2010 06 42120·2
 2010 07 58120.2
 2010 08 20119·4
 2010 09 50119.9
 2010 10 1118.3
 2010 11 61116·5
 2010 12 79117.2
 2011 01  15117.1
 2011 02  20117.9
 2011 03  32118·5
 2011 04  10118·7
 2011 05  77118.8
 2011 06  5118·9
 2011 07  10119.0
 2011 08  83119.1
 2011 09  37116.8
 2011 10  89116·1
 2011 11  57116·2
 2011 12  91115.4
 2012 01 19114.8
 2012 02 27116.3
 2012 03 62116.7
 2012 04 54117.5
 2012 05 73117·5
 2012 06 1116.7
 2012 07 36115·9
 2012 08 17115·6
 2012 09 77115.3
 2012 10 19116·0
 2012 11 18115.5
 2012 12 47116·5
 2013 01  29116.6
 2013 02  11116·1
 2013 03  71115.2
 2013 04  40114·0
 2013 05  55113.5
 2013 06  35114·0
 2013 07  83113.0
 2013 08  15113·8
 2013 09  6114·1
 2013 10  71113·5
 2013 11  67114.2
 2013 12  15113·8
 2014 01 56113·4
 2014 02 27113.4
 2014 03 59114.2
 2014 04 9113.9
 2014 05 7113.8
 2014 06 34113.5
 2014 07 25115·9
 2014 08 93116·3
 2014 09 84115·9
 2014 10 49116.2
 2014 11 50116·2
 2014 12 85117·1
 2015 01  37115·8
 2015 02  54115·9
 2015 03  49115·8
 2015 04  29116.5
 2015 05  41116·7
 2015 06  54116.2
 2015 07  59117.0
 2015 08  94116.5


 2015 09  97116.7
 2015 10  82117.1
 2015 11  43116.9
 2015 12  75116·9
 2016 01 30117·9
 2016 02 95117.9
 2016 03 88117.5
 2016 04 90117·1
 2016 05 91117·2
 2016 06 74116·3
 2016 07 9115.1
 2016 08 84115.1
 2016 09 56116·8
 2016 10 26114.5
 2016 11 42114·6
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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