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 Series Title: Textile mills, NAICS = 313: 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 95503·3
 1990 02 86500.1
 1990 03 99497.7
 1990 04 18495.8
 1990 05 51491·1
 1990 06 8491.3
 1990 07 2487.2
 1990 08 75489.3
 1990 09 49488·3
 1990 10 4489·3
 1990 11 81485·3
 1990 12 5483·0
 1991 01  38482.9
 1991 02  55477.6
 1991 03  49478·3
 1991 04  53477.4
 1991 05  94478.2
 1991 06  68478·8
 1991 07  44479·8
 1991 08  89480·3
 1991 09  18480.2
 1991 10  74483·6
 1991 11  28481·0
 1991 12  5480.5
 1992 01 34479.2
 1992 02 30479·9
 1992 03 90480·3
 1992 04 21479·5
 1992 05 94478.9
 1992 06 18478.7
 1992 07 42478·8
 1992 08 82478.1
 1992 09 73479·1
 1992 10 44478.3
 1992 11 22477·6
 1992 12 57478.9
 1993 01  71479·1
 1993 02  41480.2
 1993 03  94479·6
 1993 04  39481.2
 1993 05  13481.1
 1993 06  63479·9
 1993 07  44478.6
 1993 08  47475.9
 1993 09  50477.9
 1993 10  94477.2
 1993 11  87475.9
 1993 12  27477·3
 1994 01 57477.6
 1994 02 40475.8
 1994 03 59476·1
 1994 04 47475.2
 1994 05 35475·6
 1994 06 32476.9
 1994 07 24477.7
 1994 08 1479.1
 1994 09 9478·8
 1994 10 28480.0
 1994 11 70480.2
 1994 12 8480·4
 1995 01  30480·9
 1995 02  8480·9
 1995 03  9479·5
 1995 04  13479.6
 1995 05  72474·1
 1995 06  80470.9
 1995 07  79464·6
 1995 08  85464.7
 1995 09  36461.9
 1995 10  75457·8
 1995 11  44456.6
 1995 12  17453·2
 1996 01 48449·3
 1996 02 49448.4
 1996 03 91446·1
 1996 04 29442.8
 1996 05 58444.1
 1996 06 85443.7
 1996 07 33442·8
 1996 08 65442·4
 1996 09 41440·3
 1996 10 89441.3
 1996 11 7438.9
 1996 12 95437.9
 1997 01  98438.3
 1997 02  92436.7
 1997 03  78438.7
 1997 04  12436·6
 1997 05  55436·1
 1997 06  52436·3
 1997 07  32435.8
 1997 08  35434.6
 1997 09  60434.4
 1997 10  50435·3
 1997 11  83434.5
 1997 12  9435·6
 1998 01 91433·9
 1998 02 92433.5
 1998 03 69432.2
 1998 04 2431.4
 1998 05 47429·9
 1998 06 11426·7
 1998 07 52422·4
 1998 08 10419.4
 1998 09 54420·1
 1998 10 62417.2
 1998 11 20414·5
 1998 12 50412·0
 1999 01  62409·6
 1999 02  28406.9
 1999 03  86404.0
 1999 04  68401·5
 1999 05  46398·7
 1999 06  15396.6
 1999 07  89395·8
 1999 08  32393·1
 1999 09  7391·9
 1999 10  54390.9
 1999 11  90388.5
 1999 12  37387.1
 2000 01 71384·9
 2000 02 3384·4
 2000 03 78383·2
 2000 04 1381.7
 2000 05 87380.5
 2000 06 44380·0
 2000 07 66379.5
 2000 08 68379.5
 2000 09 31376·2
 2000 10 81373.1
 2000 11 92370·9
 2000 12 9367·5
 2001 01  4364.7
 2001 02  49353·0
 2001 03  18352.2
 2001 04  17346.5
 2001 05  31341·7
 2001 06  2335.8
 2001 07  33330·4
 2001 08  11323·7
 2001 09  61318·7
 2001 10  22314·2
 2001 11  48308·7
 2001 12  35306.3
 2002 01 72302.0
 2002 02 17298.5
 2002 03 3297·0
 2002 04 59295.2
 2002 05 62293·4
 2002 06 18291·8
 2002 07 61291.4
 2002 08 76289.5
 2002 09 58286·5
 2002 10 82283.8
 2002 11 8282.4
 2002 12 6280·4
 2003 01  9279.4
 2003 02  89276·9
 2003 03  58274·1
 2003 04  93271·2
 2003 05  92267·0
 2003 06  48264·8
 2003 07  48256.9
 2003 08  6253·7
 2003 09  6251·7
 2003 10  89249.3
 2003 11  43247·2
 2003 12  39243·4
 2004 01 78241.6
 2004 02 68239·8
 2004 03 28240.7
 2004 04 11240.4
 2004 05 56239.1
 2004 06 69237.6
 2004 07 19236.6
 2004 08 67236·0
 2004 09 18235·1
 2004 10 97233.5
 2004 11 51231·4
 2004 12 75230·1
 2005 01  62227·0
 2005 02  84225·1
 2005 03  89223.6
 2005 04  30221·0
 2005 05  15220.4
 2005 06  87219.7
 2005 07  20217.6
 2005 08  51216·0
 2005 09  27214·2
 2005 10  87212.5
 2005 11  57209.2
 2005 12  82207·9
 2006 01 74207·8
 2006 02 91206.0
 2006 03 38202.7
 2006 04 92201.7
 2006 05 55199·1
 2006 06 30196.2
 2006 07 25194.6
 2006 08 75192.1
 2006 09 96187.8
 2006 10 62186·2
 2006 11 7184.3
 2006 12 50184.0
 2007 01  47180·0
 2007 02  68177·3
 2007 03  97175·8
 2007 04  63173·2
 2007 05  85171·2
 2007 06  54170.7
 2007 07  32167·8
 2007 08  81165.5
 2007 09  8164.5
 2007 10  52164.4
 2007 11  76163.9
 2007 12  98162.6
 2008 01 44161·7
 2008 02 19161.3
 2008 03 16159.0
 2008 04 35156.1
 2008 05 41154.5
 2008 06 37151·0
 2008 07 64148.9
 2008 08 35150.0
 2008 09 76148·2
 2008 10 11146.2
 2008 11 60140.7
 2008 12 67136.8
 2009 01  48133·5
 2009 02  74130.4
 2009 03  66128·3
 2009 04  25126.5
 2009 05  84125·2
 2009 06  83123.0
 2009 07  70120.6
 2009 08  29121·0
 2009 09  34120·3
 2009 10  18119·9
 2009 11  84121.0
 2009 12  23121.1
 2010 01 72120.1
 2010 02 87119.7
 2010 03 47119.1
 2010 04 76119·3
 2010 05 0119·1
 2010 06 22119·4
 2010 07 21119.7
 2010 08 81118·1
 2010 09 43118·3
 2010 10 78118.9
 2010 11 94118·6
 2010 12 59119.4
 2011 01  50119·3
 2011 02  38120.0
 2011 03  80120·5
 2011 04  52121.0
 2011 05  99120·9
 2011 06  8120·7
 2011 07  16121.3
 2011 08  32120·9
 2011 09  88120.1
 2011 10  20119·0
 2011 11  65117.9
 2011 12  90118.4
 2012 01 44119·3
 2012 02 30118.8
 2012 03 15118·8
 2012 04 48118·6
 2012 05 16118·4
 2012 06 21118.2
 2012 07 79118.5
 2012 08 48118.5
 2012 09 80119.4
 2012 10 98118.3
 2012 11 94118·3
 2012 12 60117.4
 2013 01  37117.0
 2013 02  94117·0
 2013 03  24116·9
 2013 04  78116·7
 2013 05  12116.7
 2013 06  64117·2
 2013 07  56116.9
 2013 08  22116.9
 2013 09  56116.7
 2013 10  92118·1
 2013 11  4116.8
 2013 12  35118·2
 2014 01 42117·2
 2014 02 82117·1
 2014 03 5117·1
 2014 04 86117.4
 2014 05 73116.7
 2014 06 68116·7
 2014 07 22116.6
 2014 08 70116·9
 2014 09 74117.2
 2014 10 5116·9
 2014 11 44117.3
 2014 12 6117·3
 2015 01  94117·6
 2015 02  75117·4
 2015 03  82117·1
 2015 04  37116·9
 2015 05  9117·8
 2015 06  86116.8
 2015 07  75116·6
 2015 08  34116·0
 2015 09  21115·8
 2015 10  67115·7
 2015 11  85115·6
 2015 12  90115.7
 2016 01 53116.7
 2016 02 77115·3
 2016 03 2114.9
 2016 04 24114.4
 2016 05 56114·1
 2016 06 97113·8
 2016 07 36113·6
 2016 08 81113·3
 2016 09 7112·9


 2016 10 33112·9
 2016 11 28112·5
 2016 12 30112.2
 2017 01  4111.9
 2017 02  17111·5
 2017 03  38110·8
 2017 04  64110.0
 2017 05  74109·8
 2017 06  6109.4
 2017 07  55109.4
 2017 08  3109·8
 2017 09  68110·4
 2017 10  82110·2
 2017 11  93109·5
 2017 12  91110.3
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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 mills, NAICS = 313: 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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