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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 97243.5
 1990 02 71242.5
 1990 03 77241.3
 1990 04 17239·8
 1990 05 17238.0
 1990 06 7236·0
 1990 07 17233.7
 1990 08 8233·9
 1990 09 22232·9
 1990 10 59231·0
 1990 11 76228.3
 1990 12 17226·9
 1991 01  63227·3
 1991 02  10224·9
 1991 03  68224.0
 1991 04  87223·3
 1991 05  15222.7
 1991 06  67223·9
 1991 07  30224.0
 1991 08  88224.7
 1991 09  79225.8
 1991 10  61226·6
 1991 11  25226·9
 1991 12  14227·0
 1992 01 78226.4
 1992 02 49226·8
 1992 03 42226.8
 1992 04 84227.6
 1992 05 65228·2
 1992 06 12228.2
 1992 07 93228·3
 1992 08 42227.6
 1992 09 14227.8
 1992 10 57228.5
 1992 11 15229·6
 1992 12 58229·6
 1993 01  26229.8
 1993 02  16230.4
 1993 03  73230.9
 1993 04  24231.2
 1993 05  27231.9
 1993 06  45231.7
 1993 07  54231·8
 1993 08  62232.9
 1993 09  66233.9
 1993 10  26234.5
 1993 11  70235.4
 1993 12  13236.6
 1994 01 19238·0
 1994 02 66238·8
 1994 03 60239.9
 1994 04 49241.0
 1994 05 86241.6
 1994 06 96243·3
 1994 07 86244.5
 1994 08 63245.7
 1994 09 93246.2
 1994 10 73245·9
 1994 11 36245.6
 1994 12 74246.6
 1995 01  90248.3
 1995 02  79247·3
 1995 03  24246·6
 1995 04  26244.9
 1995 05  53243.2
 1995 06  20241.3
 1995 07  87240.4
 1995 08  88239·7
 1995 09  82239.0
 1995 10  27239·3
 1995 11  88238.3
 1995 12  55237.8
 1996 01 2236·7
 1996 02 58237·6
 1996 03 15236·7
 1996 04 46236.8
 1996 05 64237·0
 1996 06 95237·4
 1996 07 80237·2
 1996 08 4237.4
 1996 09 42237.1
 1996 10 43237·2
 1996 11 23237.1
 1996 12 99237·0
 1997 01  39237·8
 1997 02  34237·8
 1997 03  5237.5
 1997 04  26236.5
 1997 05  78236·5
 1997 06  25236.1
 1997 07  14236·2
 1997 08  2235·6
 1997 09  11235·7
 1997 10  98235.6
 1997 11  64235·4
 1997 12  73235·2
 1998 01 12235.5
 1998 02 59235·7
 1998 03 92235.6
 1998 04 8235·9
 1998 05 83235.7
 1998 06 41235.1
 1998 07 61232·0
 1998 08 0234·8
 1998 09 47234.7
 1998 10 99233·9
 1998 11 59232.3
 1998 12 69233·8
 1999 01  57233·7
 1999 02  15232·5
 1999 03  99232.6
 1999 04  59232.2
 1999 05  87232.5
 1999 06  96232·7
 1999 07  19232.0
 1999 08  39231.7
 1999 09  38231·9
 1999 10  73232.0
 1999 11  82232·1
 1999 12  3232.0
 2000 01 34230·9
 2000 02 4232·1
 2000 03 75232.2
 2000 04 71231·6
 2000 05 27230.6
 2000 06 69229·7
 2000 07 11229·3
 2000 08 86228·9
 2000 09 92227·9
 2000 10 76227·8
 2000 11 30227.3
 2000 12 17227.2
 2001 01  29224.9
 2001 02  56224.9
 2001 03  92222·7
 2001 04  60221.7
 2001 05  64219·4
 2001 06  66219.1
 2001 07  86217·9
 2001 08  32212·8
 2001 09  46213·9
 2001 10  87211·1
 2001 11  26207·6
 2001 12  78208·3
 2002 01 52208·6
 2002 02 26207·0
 2002 03 48206·6
 2002 04 68206·1
 2002 05 82205·9
 2002 06 14204.9
 2002 07 17204.2
 2002 08 95203·0
 2002 09 61202·3
 2002 10 9201.9
 2002 11 19200.9
 2002 12 78199.2
 2003 01  39195·8
 2003 02  92196·9
 2003 03  67195.1
 2003 04  62192.3
 2003 05  93190·5
 2003 06  70189.5
 2003 07  1186·1
 2003 08  16180.3
 2003 09  21182·2
 2003 10  73181.3
 2003 11  81181.6
 2003 12  34181·6
 2004 01 51182·8
 2004 02 60182.3
 2004 03 97184·6
 2004 04 34186.3
 2004 05 31187·7
 2004 06 11185·4
 2004 07 61183.8
 2004 08 62183.2
 2004 09 38182·2
 2004 10 33181·2
 2004 11 11180.3
 2004 12 87179.6
 2005 01  72177.6
 2005 02  58177.3
 2005 03  10178·3
 2005 04  1178.6
 2005 05  58179·7
 2005 06  42176·9
 2005 07  46176·2
 2005 08  25175.4
 2005 09  47175.7
 2005 10  67175·2
 2005 11  32173.9
 2005 12  3173·0
 2006 01 14173.1
 2006 02 40172.2
 2006 03 5169.2
 2006 04 4166·1
 2006 05 59166.5
 2006 06 93166.6
 2006 07 29167·3
 2006 08 22166·7
 2006 09 9165.2
 2006 10 81163.6
 2006 11 91162·0
 2006 12 76161.0
 2007 01  12161·7
 2007 02  87161.6
 2007 03  4160·3
 2007 04  11160.2
 2007 05  45158.4
 2007 06  17158·1
 2007 07  7157.0
 2007 08  94155·9
 2007 09  8154.3
 2007 10  3153·8
 2007 11  62154·4
 2007 12  22153.3
 2008 01 27151·6
 2008 02 1151·1
 2008 03 56152.1
 2008 04 12151·7
 2008 05 51150.4
 2008 06 94146·9
 2008 07 4146·3
 2008 08 9144.9
 2008 09 56144·8
 2008 10 88143·6
 2008 11 42142·3
 2008 12 82140·4
 2009 01  43137.7
 2009 02  14134·0
 2009 03  34128.5
 2009 04  25126.1
 2009 05  37124.9
 2009 06  29124.0
 2009 07  68122.8
 2009 08  58123·0
 2009 09  88123·4
 2009 10  15122·4
 2009 11  56121.5
 2009 12  23120.3
 2010 01 72119·8
 2010 02 78119.6
 2010 03 36118.9
 2010 04 92119.5
 2010 05 90120.3
 2010 06 50120·2
 2010 07 72120·2
 2010 08 57119·4
 2010 09 65119.9
 2010 10 88118·3
 2010 11 50116.5
 2010 12 38117·2
 2011 01  50117.1
 2011 02  73117.9
 2011 03  85118·5
 2011 04  79118.7
 2011 05  19118·8
 2011 06  12118.9
 2011 07  13119·0
 2011 08  49119.1
 2011 09  73116.8
 2011 10  37116·1
 2011 11  98116.2
 2011 12  43115·4
 2012 01 36115·3
 2012 02 4116.5
 2012 03 28116.7
 2012 04 78117.4
 2012 05 61117·7
 2012 06 95116·5
 2012 07 16116·0
 2012 08 1115.5
 2012 09 21115·4
 2012 10 16115·9
 2012 11 98115.5
 2012 12 79116·6
 2013 01  17117.2
 2013 02  99116.4
 2013 03  40115·2
 2013 04  7114.0
 2013 05  75113·5
 2013 06  1114.0
 2013 07  27113.0
 2013 08  4113·7
 2013 09  45114·1
 2013 10  4113·6
 2013 11  73114.3
 2013 12  14114.0
 2014 01 2113.4
 2014 02 14113.1
 2014 03 17114·1
 2014 04 6113.8
 2014 05 48113.7
 2014 06 62113·5
 2014 07 20115.9
 2014 08 74116·4
 2014 09 6115·8
 2014 10 6116·3
 2014 11 72116.6
 2014 12 39117·6
 2015 01  28115·7
 2015 02  26115.6
 2015 03  83115.6
 2015 04  42116·3
 2015 05  89116.2
 2015 06  31115·9
 2015 07  94116·4
 2015 08  55115.9
 2015 09  90116·1
 2015 10  50116·7
 2015 11  66116·3
 2015 12  71116.3
 2016 01 55117.0
 2016 02 42117.0
 2016 03 87116·3
 2016 04 8116·2
 2016 05 36116·7
 2016 06 87116·3
 2016 07 70115·0
 2016 08 12115.5
 2016 09 7117.1
 2016 10 92115·9
 2016 11 54115.9
 2016 12 52115·7
 2017 01  69116.4


 2017 02  89116.3
 2017 03  1116·4
 2017 04  21116.0
 2017 05  47115·2
 2017 06  34114·5
 2017 07  98114.6
 2017 08  38114·8
 2017 09  92113·7
 2017 10  10112.4
 2017 11  60112·6
 2017 12  49112·8
 2018 01 79112.7
 2018 02 22112.1
 2018 03 23111·9
 2018 04 21110.9
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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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