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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 25243·5
 1990 02 79242·5
 1990 03 8241·3
 1990 04 14239·8
 1990 05 25238·0
 1990 06 69236·0
 1990 07 77233.7
 1990 08 10233·9
 1990 09 10232.9
 1990 10 76231.0
 1990 11 66228·3
 1990 12 24226·9
 1991 01  31227.3
 1991 02  82224·9
 1991 03  87224.0
 1991 04  99223·3
 1991 05  63222.7
 1991 06  94223.9
 1991 07  79224.0
 1991 08  5224.7
 1991 09  5225.8
 1991 10  42226·6
 1991 11  4226.9
 1991 12  35227·0
 1992 01 85226·4
 1992 02 85226.8
 1992 03 51226·8
 1992 04 10227.6
 1992 05 51228.2
 1992 06 2228.2
 1992 07 31228·3
 1992 08 73227·6
 1992 09 80227.8
 1992 10 2228.5
 1992 11 84229·6
 1992 12 93229.6
 1993 01  72229.8
 1993 02  16230.4
 1993 03  71230·9
 1993 04  64231.2
 1993 05  52231·9
 1993 06  0231·7
 1993 07  81231.8
 1993 08  6232.9
 1993 09  71233.9
 1993 10  36234.5
 1993 11  27235·4
 1993 12  63236·6
 1994 01 3238·0
 1994 02 30238.8
 1994 03 47239.9
 1994 04 3241.0
 1994 05 50241·6
 1994 06 15243·3
 1994 07 3244.5
 1994 08 21245.7
 1994 09 37246.2
 1994 10 47245.9
 1994 11 83245·6
 1994 12 37246·6
 1995 01  14248.3
 1995 02  7247.3
 1995 03  0246·6
 1995 04  94244.9
 1995 05  56243.2
 1995 06  3241·3
 1995 07  93240.4
 1995 08  61239.7
 1995 09  65239·0
 1995 10  65239.3
 1995 11  23238·3
 1995 12  32237·8
 1996 01 65236·7
 1996 02 51237·6
 1996 03 80236·7
 1996 04 28236·8
 1996 05 6237·0
 1996 06 41237·4
 1996 07 75237.2
 1996 08 91237·4
 1996 09 65237·1
 1996 10 44237.2
 1996 11 47237·1
 1996 12 91237.0
 1997 01  41237·8
 1997 02  90237.8
 1997 03  59237.5
 1997 04  22236·5
 1997 05  60236.5
 1997 06  36236.1
 1997 07  98236.2
 1997 08  3235.6
 1997 09  72235·7
 1997 10  64235·6
 1997 11  77235.4
 1997 12  79235.2
 1998 01 53235.5
 1998 02 80235.7
 1998 03 35235.6
 1998 04 18235.9
 1998 05 3235·7
 1998 06 16235.1
 1998 07 34232·0
 1998 08 15234.8
 1998 09 48234.7
 1998 10 28233.9
 1998 11 62232.3
 1998 12 89233.8
 1999 01  37233·7
 1999 02  99232.5
 1999 03  31232·6
 1999 04  83232·2
 1999 05  47232·5
 1999 06  35232·7
 1999 07  81232·0
 1999 08  68231·7
 1999 09  77231·9
 1999 10  67232·0
 1999 11  73232·1
 1999 12  37232·0
 2000 01 53230·9
 2000 02 52232·1
 2000 03 96232.2
 2000 04 9231.6
 2000 05 26230.6
 2000 06 72229.7
 2000 07 63229·3
 2000 08 29228.9
 2000 09 71227.9
 2000 10 34227.8
 2000 11 10227·3
 2000 12 65227·2
 2001 01  87224.9
 2001 02  69224·9
 2001 03  2222·7
 2001 04  12221.7
 2001 05  2219·4
 2001 06  33219.1
 2001 07  27217·9
 2001 08  89212.8
 2001 09  64213·9
 2001 10  9211.1
 2001 11  96207.6
 2001 12  40208.3
 2002 01 50208.6
 2002 02 2207·0
 2002 03 48206.6
 2002 04 34206.1
 2002 05 59205.9
 2002 06 46204·9
 2002 07 46204.2
 2002 08 66203.0
 2002 09 18202·3
 2002 10 95201.9
 2002 11 78200.9
 2002 12 54199.2
 2003 01  76195.8
 2003 02  33196.9
 2003 03  56195·1
 2003 04  43192·3
 2003 05  9190.5
 2003 06  65189.5
 2003 07  19186.1
 2003 08  1180·3
 2003 09  17182·2
 2003 10  23181·3
 2003 11  29181·6
 2003 12  24181.6
 2004 01 26182·8
 2004 02 64182.3
 2004 03 75184·6
 2004 04 29186·3
 2004 05 86187.7
 2004 06 70185.4
 2004 07 68183·8
 2004 08 62183.2
 2004 09 73182.2
 2004 10 47181·2
 2004 11 48180·3
 2004 12 90179.6
 2005 01  87177.6
 2005 02  26177.3
 2005 03  77178·3
 2005 04  10178·6
 2005 05  53179·7
 2005 06  65176.9
 2005 07  42176·2
 2005 08  39175.4
 2005 09  21175·7
 2005 10  45175.2
 2005 11  58173.9
 2005 12  21173.0
 2006 01 68173·1
 2006 02 73172.2
 2006 03 61169.2
 2006 04 27166·1
 2006 05 93166.5
 2006 06 80166.6
 2006 07 14167·3
 2006 08 50166.7
 2006 09 22165.2
 2006 10 23163.6
 2006 11 6162.0
 2006 12 8161.0
 2007 01  5161.7
 2007 02  84161·6
 2007 03  49160·3
 2007 04  47160.2
 2007 05  17158·4
 2007 06  68158·1
 2007 07  82157.0
 2007 08  36155·9
 2007 09  60154.3
 2007 10  9153·8
 2007 11  66154.4
 2007 12  68153.3
 2008 01 58151·6
 2008 02 62151·1
 2008 03 90152.1
 2008 04 63151·7
 2008 05 62150·4
 2008 06 10146.9
 2008 07 68146·3
 2008 08 64144.9
 2008 09 47144.8
 2008 10 58143.6
 2008 11 36142·3
 2008 12 42140·4
 2009 01  14137.7
 2009 02  39134·0
 2009 03  57128·5
 2009 04  90126.1
 2009 05  87124.9
 2009 06  8124·0
 2009 07  21122·8
 2009 08  27123·0
 2009 09  18123.4
 2009 10  49122.4
 2009 11  38121.5
 2009 12  98120.3
 2010 01 82119·8
 2010 02 67119·6
 2010 03 48118.7
 2010 04 71119.5
 2010 05 79120.2
 2010 06 94119·9
 2010 07 13120.1
 2010 08 41119·3
 2010 09 35120·0
 2010 10 86118·3
 2010 11 22116.8
 2010 12 26117·2
 2011 01  99117·0
 2011 02  26117.8
 2011 03  86118·3
 2011 04  72118.6
 2011 05  47118·8
 2011 06  20119·0
 2011 07  44119·1
 2011 08  47119.2
 2011 09  81116.8
 2011 10  99116·1
 2011 11  59116.5
 2011 12  45115·7
 2012 01 24114.6
 2012 02 21116·0
 2012 03 18116.5
 2012 04 85117·3
 2012 05 28117·5
 2012 06 66116·8
 2012 07 35116·2
 2012 08 12115·9
 2012 09 68115·3
 2012 10 42116.0
 2012 11 48116·2
 2012 12 95116·6
 2013 01  44116·4
 2013 02  80115.7
 2013 03  19115.0


 2013 04  28113.5
 2013 05  82112.7
 2013 06  37112·9
 2013 07  36112·6
 2013 08  29113.0
 2013 09  31112.8
 2013 10  95112·1
 2013 11  12113.0
 2013 12  44111.8
 2014 01 68111.0
 2014 02 59111·0
 2014 03 85111·1
 2014 04 41110.8
 2014 05 93110.5
 2014 06 62110·1
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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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