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 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
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Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
 1990 01 29503·3
 1990 02 0500.1
 1990 03 52497·7
 1990 04 19495.8
 1990 05 60491·1
 1990 06 34491.3
 1990 07 4487.2
 1990 08 62489·3
 1990 09 81488.3
 1990 10 91489·3
 1990 11 82485.3
 1990 12 29483·0
 1991 01  45482·9
 1991 02  54477·6
 1991 03  0478.3
 1991 04  64477·4
 1991 05  25478·2
 1991 06  29478.8
 1991 07  93479·8
 1991 08  36480.3
 1991 09  23480·2
 1991 10  46483·6
 1991 11  27481·0
 1991 12  39480·5
 1992 01 64479·2
 1992 02 64479·9
 1992 03 88480·3
 1992 04 92479.5
 1992 05 98478.9
 1992 06 64478.7
 1992 07 89478·8
 1992 08 40478·1
 1992 09 1479.1
 1992 10 52478·3
 1992 11 69477.6
 1992 12 51478·9
 1993 01  73479.1
 1993 02  60480·2
 1993 03  89479.6
 1993 04  20481·2
 1993 05  39481·1
 1993 06  44479·9
 1993 07  39478·6
 1993 08  65475·9
 1993 09  51477.9
 1993 10  87477.2
 1993 11  31475·9
 1993 12  32477.3
 1994 01 82477.6
 1994 02 94475·8
 1994 03 2476.1
 1994 04 88475·2
 1994 05 34475·6
 1994 06 98476·9
 1994 07 16477·7
 1994 08 29479·1
 1994 09 32478.8
 1994 10 56480.0
 1994 11 61480·2
 1994 12 73480.4
 1995 01  27480.9
 1995 02  47480·9
 1995 03  49479.5
 1995 04  65479.6
 1995 05  93474.1
 1995 06  81470.9
 1995 07  19464·6
 1995 08  73464·7
 1995 09  32461·9
 1995 10  87457·8
 1995 11  33456.6
 1995 12  92453·2
 1996 01 68449·3
 1996 02 24448·4
 1996 03 79446·1
 1996 04 41442.8
 1996 05 52444.1
 1996 06 71443·7
 1996 07 70442·8
 1996 08 64442.4
 1996 09 60440.3
 1996 10 37441.3
 1996 11 44438.9
 1996 12 30437·9
 1997 01  91438.3
 1997 02  52436·7
 1997 03  64438.7
 1997 04  33436·6
 1997 05  72436.1
 1997 06  74436.3
 1997 07  18435.8
 1997 08  93434.6
 1997 09  52434.4
 1997 10  83435.3
 1997 11  18434·5
 1997 12  54435·6
 1998 01 7433·9
 1998 02 87433.5
 1998 03 3432·2
 1998 04 84431.4
 1998 05 37429·9
 1998 06 17426·7
 1998 07 35422·4
 1998 08 78419.4
 1998 09 68420.1
 1998 10 30417.2
 1998 11 2414.5
 1998 12 56412·0
 1999 01  50409·6
 1999 02  8406·9
 1999 03  18404·0
 1999 04  60401·5
 1999 05  58398.7
 1999 06  56396.6
 1999 07  19395·8
 1999 08  61393·1
 1999 09  94391·9
 1999 10  8390.9
 1999 11  70388.5
 1999 12  52387.1
 2000 01 82384·9
 2000 02 19384.4
 2000 03 57383·2
 2000 04 53381·7
 2000 05 72380.5
 2000 06 71380·0
 2000 07 95379.5
 2000 08 7379·5
 2000 09 40376.2
 2000 10 70373·1
 2000 11 19370·9
 2000 12 85367.5
 2001 01  87364.7
 2001 02  49353.0
 2001 03  95352.2
 2001 04  79346·5
 2001 05  38341·7
 2001 06  64335.8
 2001 07  9330·4
 2001 08  10323.7
 2001 09  43318.7
 2001 10  96314·2
 2001 11  74308.7
 2001 12  21306.3
 2002 01 78302.0
 2002 02 53298·5
 2002 03 28297.0
 2002 04 81295·2
 2002 05 42293·4
 2002 06 66291.8
 2002 07 34291.4
 2002 08 85289·5
 2002 09 62286·5
 2002 10 91283·8
 2002 11 80282·4
 2002 12 52280.4
 2003 01  88279.4
 2003 02  10276·9
 2003 03  80274.1
 2003 04  26271·2
 2003 05  95267.0
 2003 06  30264·8
 2003 07  69256.9
 2003 08  75253.7
 2003 09  84251·7
 2003 10  83249·3
 2003 11  13247.2
 2003 12  95243·4
 2004 01 79241.6
 2004 02 24239·8
 2004 03 98240.7
 2004 04 4240.4
 2004 05 32239.1
 2004 06 37237·6
 2004 07 38236.6
 2004 08 46236·0
 2004 09 18235.1
 2004 10 26233·5
 2004 11 69231·4
 2004 12 91230·1
 2005 01  36227.0
 2005 02  25225·1
 2005 03  56223.6
 2005 04  33221.0
 2005 05  14220.4
 2005 06  90219·7
 2005 07  87217·6
 2005 08  91216·0
 2005 09  0214·2
 2005 10  1212·5
 2005 11  73209·2
 2005 12  8207.9
 2006 01 70207·8
 2006 02 67206.0
 2006 03 53202·7
 2006 04 55201.7
 2006 05 25199·1
 2006 06 18196.2
 2006 07 89194·6
 2006 08 25192.1
 2006 09 91187.8
 2006 10 12186.2
 2006 11 71184.3
 2006 12 37184.0
 2007 01  17180.0
 2007 02  29177.3
 2007 03  10175.8
 2007 04  36173.2
 2007 05  78171·2
 2007 06  77170·7
 2007 07  44167·8
 2007 08  91165.5
 2007 09  76164·5
 2007 10  87164.4
 2007 11  37163·9
 2007 12  95162·6
 2008 01 36161.8
 2008 02 16161.2
 2008 03 76159.0
 2008 04 68156.1
 2008 05 7154.7
 2008 06 45151·2
 2008 07 74149.0
 2008 08 55149·7
 2008 09 66148·2
 2008 10 81146·2
 2008 11 69140.6
 2008 12 24136.8
 2009 01  13133.9
 2009 02  56130·4
 2009 03  24128·3
 2009 04  69126·5
 2009 05  73125·1
 2009 06  26122·8
 2009 07  27120·5
 2009 08  10121·0
 2009 09  97120.1
 2009 10  73120·0
 2009 11  90120.8
 2009 12  90121·2
 2010 01 59117.5
 2010 02 4119·9
 2010 03 52119·2
 2010 04 79119.4
 2010 05 62119·2
 2010 06 50119.3
 2010 07 76119·2
 2010 08 72118.1
 2010 09 28118·3
 2010 10 68118.8
 2010 11 48118·7
 2010 12 86119·3
 2011 01  10119·4
 2011 02  40120.2
 2011 03  84120.6
 2011 04  66121.4
 2011 05  83121.1
 2011 06  72121.2
 2011 07  19122.2
 2011 08  82121.3
 2011 09  46120·6
 2011 10  95119.4
 2011 11  17119.2
 2011 12  28119.6
 2012 01 26120·3
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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


Read My Most Recent Articles

 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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