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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 73243.5
 1990 02 53242.5
 1990 03 10241·3
 1990 04 70239.8
 1990 05 87238.0
 1990 06 14236.0
 1990 07 6233·7
 1990 08 50233.9
 1990 09 12232·9
 1990 10 16231.0
 1990 11 47228.3
 1990 12 71226.9
 1991 01  97227·3
 1991 02  43224·9
 1991 03  45224·0
 1991 04  80223.3
 1991 05  18222·7
 1991 06  0223·9
 1991 07  39224·0
 1991 08  44224.7
 1991 09  75225·8
 1991 10  20226·6
 1991 11  91226.9
 1991 12  58227·0
 1992 01 94226.4
 1992 02 58226.8
 1992 03 89226.8
 1992 04 40227.6
 1992 05 25228.2
 1992 06 96228.2
 1992 07 47228·3
 1992 08 36227·6
 1992 09 44227.8
 1992 10 42228·5
 1992 11 1229.6
 1992 12 14229.6
 1993 01  50229.8
 1993 02  26230.4
 1993 03  15230.9
 1993 04  69231.2
 1993 05  69231.9
 1993 06  6231.7
 1993 07  78231·8
 1993 08  19232.9
 1993 09  52233.9
 1993 10  62234.5
 1993 11  0235·4
 1993 12  9236.6
 1994 01 74238.0
 1994 02 3238.8
 1994 03 22239·9
 1994 04 8241.0
 1994 05 36241·6
 1994 06 58243·3
 1994 07 5244.5
 1994 08 9245·7
 1994 09 62246·2
 1994 10 86245.9
 1994 11 37245.6
 1994 12 33246·6
 1995 01  3248·3
 1995 02  66247.3
 1995 03  31246·6
 1995 04  23244·9
 1995 05  35243·2
 1995 06  8241.3
 1995 07  26240.4
 1995 08  48239·7
 1995 09  58239·0
 1995 10  41239.3
 1995 11  83238.3
 1995 12  3237·8
 1996 01 97236.7
 1996 02 22237.6
 1996 03 92236·7
 1996 04 6236·8
 1996 05 3237·0
 1996 06 34237·4
 1996 07 64237·2
 1996 08 3237.4
 1996 09 51237·1
 1996 10 82237·2
 1996 11 38237·1
 1996 12 61237.0
 1997 01  42237·8
 1997 02  99237.8
 1997 03  76237.5
 1997 04  75236.5
 1997 05  0236·5
 1997 06  40236·1
 1997 07  67236.2
 1997 08  65235·6
 1997 09  77235.7
 1997 10  89235·6
 1997 11  24235·4
 1997 12  74235·2
 1998 01 48235·5
 1998 02 50235·7
 1998 03 83235.6
 1998 04 71235·9
 1998 05 12235·7
 1998 06 57235·1
 1998 07 9232·0
 1998 08 51234·8
 1998 09 96234·7
 1998 10 65233.9
 1998 11 89232·3
 1998 12 33233.8
 1999 01  50233·7
 1999 02  57232.5
 1999 03  36232.6
 1999 04  61232·2
 1999 05  49232.5
 1999 06  38232.7
 1999 07  87232.0
 1999 08  4231.7
 1999 09  94231·9
 1999 10  41232.0
 1999 11  7232·1
 1999 12  56232.0
 2000 01 9230·9
 2000 02 22232·1
 2000 03 81232·2
 2000 04 36231.6
 2000 05 47230.6
 2000 06 63229.7
 2000 07 25229·3
 2000 08 89228.9
 2000 09 81227.9
 2000 10 70227·8
 2000 11 74227.3
 2000 12 83227.2
 2001 01  12224·9
 2001 02  76224.9
 2001 03  93222·7
 2001 04  14221.7
 2001 05  66219·4
 2001 06  36219.1
 2001 07  70217.9
 2001 08  99212·8
 2001 09  92213.9
 2001 10  32211·1
 2001 11  16207.6
 2001 12  83208·3
 2002 01 67208·6
 2002 02 71207·0
 2002 03 70206·6
 2002 04 36206.1
 2002 05 91205.9
 2002 06 85204.9
 2002 07 95204·2
 2002 08 51203.0
 2002 09 89202.3
 2002 10 31201.9
 2002 11 79200·9
 2002 12 47199.2
 2003 01  12195·8
 2003 02  89196·9
 2003 03  34195·1
 2003 04  69192·3
 2003 05  34190·5
 2003 06  67189·5
 2003 07  99186·1
 2003 08  85180.3
 2003 09  57182.2
 2003 10  96181.3
 2003 11  36181.6
 2003 12  91181.6
 2004 01 6182·8
 2004 02 33182·3
 2004 03 33184.6
 2004 04 4186·3
 2004 05 30187.7
 2004 06 59185·4
 2004 07 4183·8
 2004 08 70183·2
 2004 09 7182·2
 2004 10 82181·2
 2004 11 86180·3
 2004 12 57179.6
 2005 01  35177·6
 2005 02  32177·3
 2005 03  41178.3
 2005 04  60178.6
 2005 05  40179.7
 2005 06  67176.9
 2005 07  59176·2
 2005 08  97175.4
 2005 09  73175.7
 2005 10  67175.2
 2005 11  51173·9
 2005 12  13173.0
 2006 01 9173.1
 2006 02 41172.2
 2006 03 56169.2
 2006 04 77166.1
 2006 05 48166·5
 2006 06 18166·6
 2006 07 37167.3
 2006 08 83166.7
 2006 09 17165·2
 2006 10 57163·6
 2006 11 80162.0
 2006 12 49161·0
 2007 01  64161.7
 2007 02  38161·6
 2007 03  0160.3
 2007 04  22160·2
 2007 05  66158·4
 2007 06  69158.1
 2007 07  35157·0
 2007 08  68155·9
 2007 09  24154·3
 2007 10  80153·8
 2007 11  46154.4
 2007 12  84153.3
 2008 01 61151·6
 2008 02 29151·1
 2008 03 23152.1
 2008 04 87151.7
 2008 05 30150.4
 2008 06 97146.9
 2008 07 77146.3
 2008 08 22144.9
 2008 09 4144·8
 2008 10 91143.6
 2008 11 47142.3
 2008 12 58140.4
 2009 01  85137.7
 2009 02  43134·0
 2009 03  95128·5
 2009 04  89126.1
 2009 05  98124·9
 2009 06  8124.0
 2009 07  11122.8
 2009 08  34123·0
 2009 09  94123·4
 2009 10  69122·4
 2009 11  5121.5
 2009 12  38120.3
 2010 01 47119.8
 2010 02 33119.6
 2010 03 17118·9
 2010 04 69119·5
 2010 05 58120·3
 2010 06 30120·2
 2010 07 9120·2
 2010 08 22119·4
 2010 09 53119.9
 2010 10 19118·3
 2010 11 69116·5
 2010 12 16117.2
 2011 01  82117·1
 2011 02  79117.9
 2011 03  10118.5
 2011 04  95118·7
 2011 05  20118·8
 2011 06  19118.9
 2011 07  71119.0
 2011 08  28119.1
 2011 09  68116·8
 2011 10  69116·1
 2011 11  12116·2
 2011 12  9115·4
 2012 01 51115.3
 2012 02 86116·5
 2012 03 24116·7
 2012 04 58117·4
 2012 05 19117·7
 2012 06 52116.5
 2012 07 18116·0
 2012 08 18115·5
 2012 09 48115.4
 2012 10 74115·9
 2012 11 32115.5
 2012 12 59116.6
 2013 01  39117·0
 2013 02  83116.3
 2013 03  30115·2
 2013 04  75113.9
 2013 05  16113·6
 2013 06  35114.1
 2013 07  99113·1
 2013 08  85113.8
 2013 09  30114.1
 2013 10  13113.5
 2013 11  52114.3
 2013 12  32114·0
 2014 01 57113.4
 2014 02 23113.2
 2014 03 28114·2
 2014 04 88113.8
 2014 05 96113·7
 2014 06 97113.6
 2014 07 88116.1
 2014 08 44116.4
 2014 09 74115.8
 2014 10 91116.3
 2014 11 20116·7
 2014 12 21117·5
 2015 01  40115·7
 2015 02  87115·7
 2015 03  39115.7
 2015 04  63116.5
 2015 05  70116.4
 2015 06  92115.9
 2015 07  81116·8
 2015 08  38116.1
 2015 09  65116·1
 2015 10  37116.6
 2015 11  10116·2
 2015 12  42116·1
 2016 01 49117.0
 2016 02 79117.1
 2016 03 12116.4
 2016 04 93116.0
 2016 05 74116·3
 2016 06 99115·3


 2016 07 3114.1
 2016 08 34114·2
 2016 09 14114·5
 2016 10 5113.5
 2016 11 18113.3
 2016 12 37112.8
 2017 01  70112·9
 2017 02  27112.6
 2017 03  21112.5
 2017 04  93112·0
 2017 05  67111·7
 2017 06  23111·1
 2017 07  0110·8
 2017 08  24111·0
 2017 09  56109.5
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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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