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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 32503.3
 1990 02 80500·1
 1990 03 18497.7
 1990 04 0495·8
 1990 05 1491·1
 1990 06 2491.3
 1990 07 82487.2
 1990 08 53489.3
 1990 09 6488·3
 1990 10 91489.3
 1990 11 15485·3
 1990 12 74483.0
 1991 01  96482·9
 1991 02  29477·6
 1991 03  31478.3
 1991 04  6477·4
 1991 05  48478.2
 1991 06  22478.8
 1991 07  68479·8
 1991 08  19480.3
 1991 09  60480.2
 1991 10  3483·6
 1991 11  87481·0
 1991 12  6480.5
 1992 01 59479·2
 1992 02 28479.9
 1992 03 78480.3
 1992 04 88479·5
 1992 05 95478.9
 1992 06 77478.7
 1992 07 53478.8
 1992 08 8478·1
 1992 09 43479·1
 1992 10 59478.3
 1992 11 50477.6
 1992 12 35478.9
 1993 01  5479·1
 1993 02  5480.2
 1993 03  32479·6
 1993 04  63481·2
 1993 05  4481·1
 1993 06  71479.9
 1993 07  87478·6
 1993 08  12475.9
 1993 09  92477·9
 1993 10  39477.2
 1993 11  27475·9
 1993 12  26477·3
 1994 01 44477·6
 1994 02 15475·8
 1994 03 91476·1
 1994 04 73475.2
 1994 05 61475·6
 1994 06 32476·9
 1994 07 42477·7
 1994 08 48479.1
 1994 09 67478.8
 1994 10 46480·0
 1994 11 66480·2
 1994 12 71480.4
 1995 01  14480·9
 1995 02  38480.9
 1995 03  78479·5
 1995 04  85479·6
 1995 05  76474·1
 1995 06  16470.9
 1995 07  16464·6
 1995 08  59464.7
 1995 09  54461.9
 1995 10  10457.8
 1995 11  41456.6
 1995 12  87453.2
 1996 01 73449·3
 1996 02 78448·4
 1996 03 42446.1
 1996 04 90442.8
 1996 05 84444·1
 1996 06 1443.7
 1996 07 32442.8
 1996 08 10442.4
 1996 09 62440·3
 1996 10 85441·3
 1996 11 48438·9
 1996 12 17437.9
 1997 01  8438.3
 1997 02  63436.7
 1997 03  54438.7
 1997 04  5436·6
 1997 05  46436·1
 1997 06  92436.3
 1997 07  38435·8
 1997 08  93434.6
 1997 09  28434.4
 1997 10  51435·3
 1997 11  12434·5
 1997 12  26435·6
 1998 01 29433.9
 1998 02 49433·5
 1998 03 14432.2
 1998 04 72431·4
 1998 05 48429·9
 1998 06 17426·7
 1998 07 7422.4
 1998 08 26419.4
 1998 09 12420.1
 1998 10 12417·2
 1998 11 80414·5
 1998 12 7412.0
 1999 01  71409·6
 1999 02  15406.9
 1999 03  44404.0
 1999 04  59401.5
 1999 05  0398.7
 1999 06  32396.6
 1999 07  38395.8
 1999 08  50393.1
 1999 09  0391·9
 1999 10  97390.9
 1999 11  25388.5
 1999 12  76387·1
 2000 01 96384.9
 2000 02 64384.4
 2000 03 92383·2
 2000 04 55381·7
 2000 05 38380·5
 2000 06 16380·0
 2000 07 53379.5
 2000 08 32379.5
 2000 09 2376.2
 2000 10 60373.1
 2000 11 46370·9
 2000 12 75367·5
 2001 01  89364.7
 2001 02  26353.0
 2001 03  32352·2
 2001 04  80346.5
 2001 05  23341·7
 2001 06  73335.8
 2001 07  1330·4
 2001 08  64323·7
 2001 09  54318·7
 2001 10  80314·2
 2001 11  65308·7
 2001 12  72306.3
 2002 01 60302·0
 2002 02 56298·5
 2002 03 61297·0
 2002 04 73295.2
 2002 05 38293·4
 2002 06 32291.8
 2002 07 54291·4
 2002 08 62289·5
 2002 09 17286·5
 2002 10 63283.8
 2002 11 30282·4
 2002 12 57280.4
 2003 01  44279·4
 2003 02  33276·9
 2003 03  3274·1
 2003 04  2271·2
 2003 05  97267.0
 2003 06  47264.8
 2003 07  11256·9
 2003 08  68253·7
 2003 09  75251·7
 2003 10  37249·3
 2003 11  15247·2
 2003 12  47243·4
 2004 01 3241.6
 2004 02 61239.8
 2004 03 5240·7
 2004 04 60240.4
 2004 05 33239·1
 2004 06 98237·6
 2004 07 94236·6
 2004 08 49236.0
 2004 09 39235.1
 2004 10 57233·5
 2004 11 18231·4
 2004 12 85230.1
 2005 01  22227·0
 2005 02  69225·1
 2005 03  41223.6
 2005 04  62221.0
 2005 05  8220·4
 2005 06  90219.7
 2005 07  51217.6
 2005 08  98216·0
 2005 09  46214·2
 2005 10  2212.5
 2005 11  61209·2
 2005 12  37207.9
 2006 01 12207.8
 2006 02 11206.0
 2006 03 9202·7
 2006 04 50201·7
 2006 05 6199·1
 2006 06 50196·2
 2006 07 57194.6
 2006 08 30192.1
 2006 09 55187·8
 2006 10 75186·2
 2006 11 93184.3
 2006 12 95184·0
 2007 01  7180·0
 2007 02  68177·3
 2007 03  31175.8
 2007 04  91173.2
 2007 05  40171·2
 2007 06  35170.7
 2007 07  8167.8
 2007 08  87165·5
 2007 09  52164.5
 2007 10  8164·4
 2007 11  86163·9
 2007 12  76162·6
 2008 01 70161.7
 2008 02 43161.3
 2008 03 55159.0
 2008 04 78156.1
 2008 05 43154.5
 2008 06 22151.0
 2008 07 27148.9
 2008 08 37150.0
 2008 09 48148.2
 2008 10 53146.2
 2008 11 40140.7
 2008 12 21136·8
 2009 01  84133·5
 2009 02  65130·4
 2009 03  56128.3
 2009 04  26126·5
 2009 05  77125.2
 2009 06  17123·0
 2009 07  64120.6
 2009 08  70121.0
 2009 09  78120·3
 2009 10  90119·9
 2009 11  76121.0
 2009 12  98121.1
 2010 01 61120·1
 2010 02 90119.7
 2010 03 30119.1
 2010 04 78119·3
 2010 05 27119.1
 2010 06 48119·4
 2010 07 90119·7
 2010 08 5118·1
 2010 09 2118.3
 2010 10 23118.9
 2010 11 43118.6
 2010 12 98119·4
 2011 01  36119.3
 2011 02  95120.0
 2011 03  2120·5
 2011 04  0121.0
 2011 05  4120·9
 2011 06  71120.7
 2011 07  4121·3
 2011 08  82120·9
 2011 09  7120·1
 2011 10  82119·0
 2011 11  14117·9
 2011 12  37118·4
 2012 01 70119.3
 2012 02 86118.8
 2012 03 18118.8
 2012 04 85118·6
 2012 05 43118·4
 2012 06 63118.2
 2012 07 29118.5
 2012 08 69118.5
 2012 09 3119.4
 2012 10 21118·3
 2012 11 86118.3
 2012 12 59117.4
 2013 01  48117·0
 2013 02  91117.0
 2013 03  52116·9
 2013 04  48116.7
 2013 05  6116.7
 2013 06  30117·2
 2013 07  13116·9
 2013 08  57116.9
 2013 09  25116·7
 2013 10  19118.1
 2013 11  84116.8
 2013 12  29118·2
 2014 01 81117.2
 2014 02 66117.1
 2014 03 2117·1
 2014 04 33117·4
 2014 05 76116.7
 2014 06 1116.7
 2014 07 30116·6
 2014 08 63116.9
 2014 09 34117·2
 2014 10 81116·9
 2014 11 55117.3
 2014 12 39117.3
 2015 01  5117·6
 2015 02  89117·4
 2015 03  91117·1
 2015 04  4116·9
 2015 05  65117·8
 2015 06  30116.8
 2015 07  76116.6
 2015 08  29116.0
 2015 09  15115.8
 2015 10  36115.7
 2015 11  72115·6
 2015 12  6115·7
 2016 01 80116·7
 2016 02 64115·3
 2016 03 67114·9


 2016 04 56114.4
 2016 05 9114.1
 2016 06 96113·8
 2016 07 75113·6
 2016 08 21113.3
 2016 09 79112·9
 2016 10 38112.9
 2016 11 33112·5
 2016 12 72112·2
 2017 01  91111·9
 2017 02  22111.5
 2017 03  4110.8
 2017 04  3110.0
 2017 05  68109·8
 2017 06  4109.2
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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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