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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 98243.5
 1990 02 4242.5
 1990 03 13241·3
 1990 04 41239·8
 1990 05 28238·0
 1990 06 14236.0
 1990 07 43233.7
 1990 08 89233.9
 1990 09 6232·9
 1990 10 4231·0
 1990 11 56228.3
 1990 12 17226.9
 1991 01  81227.3
 1991 02  56224·9
 1991 03  63224.0
 1991 04  69223·3
 1991 05  30222.7
 1991 06  75223·9
 1991 07  4224.0
 1991 08  14224·7
 1991 09  53225·8
 1991 10  94226.6
 1991 11  40226.9
 1991 12  46227·0
 1992 01 75226·4
 1992 02 70226·8
 1992 03 60226·8
 1992 04 85227.6
 1992 05 46228·2
 1992 06 83228.2
 1992 07 77228·3
 1992 08 75227·6
 1992 09 42227·8
 1992 10 41228.5
 1992 11 28229.6
 1992 12 84229.6
 1993 01  64229.8
 1993 02  75230·4
 1993 03  77230·9
 1993 04  7231.2
 1993 05  36231·9
 1993 06  42231.7
 1993 07  10231·8
 1993 08  63232·9
 1993 09  10233·9
 1993 10  24234·5
 1993 11  42235.4
 1993 12  97236.6
 1994 01 60238·0
 1994 02 26238.8
 1994 03 10239.9
 1994 04 76241.0
 1994 05 87241.6
 1994 06 81243.3
 1994 07 77244·5
 1994 08 96245.7
 1994 09 16246.2
 1994 10 46245.9
 1994 11 31245·6
 1994 12 76246.6
 1995 01  98248·3
 1995 02  2247.3
 1995 03  85246·6
 1995 04  60244·9
 1995 05  8243.2
 1995 06  55241.3
 1995 07  76240.4
 1995 08  16239.7
 1995 09  46239.0
 1995 10  38239·3
 1995 11  68238·3
 1995 12  39237.8
 1996 01 38236.7
 1996 02 7237·6
 1996 03 48236·7
 1996 04 49236.8
 1996 05 34237.0
 1996 06 43237.4
 1996 07 29237·2
 1996 08 89237·4
 1996 09 10237.1
 1996 10 54237.2
 1996 11 50237.1
 1996 12 28237.0
 1997 01  66237.8
 1997 02  70237·8
 1997 03  73237·5
 1997 04  61236·5
 1997 05  28236·5
 1997 06  49236·1
 1997 07  85236.2
 1997 08  6235.6
 1997 09  45235·7
 1997 10  73235·6
 1997 11  1235·4
 1997 12  9235.2
 1998 01 93235·5
 1998 02 47235·7
 1998 03 57235·6
 1998 04 37235·9
 1998 05 73235·7
 1998 06 3235·1
 1998 07 17232.0
 1998 08 86234·8
 1998 09 10234.7
 1998 10 99233·9
 1998 11 69232.3
 1998 12 74233·8
 1999 01  54233·7
 1999 02  15232.5
 1999 03  25232.6
 1999 04  45232·2
 1999 05  82232·5
 1999 06  59232·7
 1999 07  23232.0
 1999 08  69231·7
 1999 09  92231·9
 1999 10  61232.0
 1999 11  26232.1
 1999 12  40232.0
 2000 01 10230.9
 2000 02 80232·1
 2000 03 23232·2
 2000 04 76231.6
 2000 05 88230.6
 2000 06 95229.7
 2000 07 25229·3
 2000 08 23228·9
 2000 09 0227·9
 2000 10 15227·8
 2000 11 72227.3
 2000 12 48227.2
 2001 01  46224·9
 2001 02  70224.9
 2001 03  25222.7
 2001 04  47221·7
 2001 05  53219.4
 2001 06  17219·1
 2001 07  73217·9
 2001 08  38212.8
 2001 09  70213.9
 2001 10  38211.1
 2001 11  28207.6
 2001 12  66208·3
 2002 01 73208.6
 2002 02 40207·0
 2002 03 29206·6
 2002 04 0206·1
 2002 05 63205·9
 2002 06 54204.9
 2002 07 38204.2
 2002 08 33203·0
 2002 09 64202·3
 2002 10 37201.9
 2002 11 43200·9
 2002 12 85199.2
 2003 01  27195·8
 2003 02  70196·9
 2003 03  58195·1
 2003 04  1192·3
 2003 05  27190·5
 2003 06  60189·5
 2003 07  19186.1
 2003 08  49180·3
 2003 09  65182.2
 2003 10  39181.3
 2003 11  91181·6
 2003 12  23181·6
 2004 01 67182·8
 2004 02 63182·3
 2004 03 60184.6
 2004 04 42186·3
 2004 05 82187·7
 2004 06 14185.4
 2004 07 40183·8
 2004 08 52183·2
 2004 09 86182·2
 2004 10 99181·2
 2004 11 68180·3
 2004 12 20179.6
 2005 01  79177.6
 2005 02  49177·3
 2005 03  8178.3
 2005 04  41178·6
 2005 05  88179.7
 2005 06  21176.9
 2005 07  47176·2
 2005 08  34175·4
 2005 09  61175.7
 2005 10  96175·2
 2005 11  99173.9
 2005 12  44173·0
 2006 01 75173·1
 2006 02 82172·2
 2006 03 0169·2
 2006 04 38166·1
 2006 05 30166.5
 2006 06 10166·6
 2006 07 15167·3
 2006 08 13166.7
 2006 09 51165.2
 2006 10 36163·6
 2006 11 30162.0
 2006 12 86161.0
 2007 01  89161.7
 2007 02  42161.6
 2007 03  60160.3
 2007 04  2160.2
 2007 05  19158.4
 2007 06  34158.1
 2007 07  41157·0
 2007 08  29155.9
 2007 09  42154.3
 2007 10  46153.8
 2007 11  36154.4
 2007 12  63153.3
 2008 01 82151.6
 2008 02 32151.1
 2008 03 34152.1
 2008 04 22151·7
 2008 05 91150·4
 2008 06 75146·9
 2008 07 48146.3
 2008 08 51144.9
 2008 09 44144·8
 2008 10 81143·6
 2008 11 14142·3
 2008 12 18140.4
 2009 01  40137·7
 2009 02  82134.0
 2009 03  97128·5
 2009 04  17126.1
 2009 05  6124·9
 2009 06  35124.0
 2009 07  84122·8
 2009 08  69123.0
 2009 09  92123.4
 2009 10  21122·4
 2009 11  88121·5
 2009 12  16120.3
 2010 01 73119·8
 2010 02 47119·6
 2010 03 46118·9
 2010 04 28119.5
 2010 05 50120·3
 2010 06 44120.2
 2010 07 23120·2
 2010 08 0119·4
 2010 09 48119·9
 2010 10 70118.3
 2010 11 4116·5
 2010 12 50117·2
 2011 01  17117.1
 2011 02  5117·9
 2011 03  5118.5
 2011 04  22118·7
 2011 05  33118.8
 2011 06  57118.9
 2011 07  62119·0
 2011 08  86119·1
 2011 09  96116·8
 2011 10  57116.1
 2011 11  38116·2
 2011 12  36115·4
 2012 01 32115.3
 2012 02 62116.5
 2012 03 21116.7
 2012 04 91117·4
 2012 05 91117.7
 2012 06 52116.5
 2012 07 24116.0
 2012 08 95115·5
 2012 09 48115.4
 2012 10 36115.9
 2012 11 85115.5
 2012 12 17116.6
 2013 01  4117.0
 2013 02  45116·3
 2013 03  67115·2
 2013 04  51113.9
 2013 05  84113·6
 2013 06  35114.1
 2013 07  58113.1
 2013 08  17113·8
 2013 09  38114·1
 2013 10  88113.5
 2013 11  70114·3
 2013 12  58114·0
 2014 01 43113.4
 2014 02 10113.2
 2014 03 42114·2
 2014 04 44113.8
 2014 05 98113.7
 2014 06 34113·6
 2014 07 36116.1
 2014 08 70116.4
 2014 09 28115.8
 2014 10 15116·3
 2014 11 41116.7
 2014 12 53117·5
 2015 01  85115·7
 2015 02  36115·7
 2015 03  68115·7
 2015 04  38116.5
 2015 05  43116·4
 2015 06  3115·9
 2015 07  57116·8
 2015 08  95116.1
 2015 09  3116.1
 2015 10  48116.6
 2015 11  70116·2
 2015 12  17116·1
 2016 01 91117·0
 2016 02 27117.1
 2016 03 94116.4
 2016 04 23116.0
 2016 05 56116.3
 2016 06 22115·3
 2016 07 44114·1


 2016 08 59114.2
 2016 09 74114·5
 2016 10 40113·5
 2016 11 56113.3
 2016 12 92112.8
 2017 01  45112·9
 2017 02  12112.6
 2017 03  93112·5
 2017 04  17112·0
 2017 05  96111.7
 2017 06  95111.1
 2017 07  44110·8
 2017 08  54111.0
 2017 09  75109·6
 2017 10  71108·8
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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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