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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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 2012 04 22119·9
 2012 03 55120·2
 2012 02 23120.3
 2012 01 78120·5
 2011 12  96119.6
 2011 11  57119·2
 2011 10  41119·4
 2011 09  60120.6
 2011 08  5121·3
 2011 07  26122·2
 2011 06  29121·2
 2011 05  11121·1
 2011 04  0121.4
 2011 03  43120·6
 2011 02  0120·2
 2011 01  72119.4
 2010 12 56119.3
 2010 11 17118.7
 2010 10 91118.8
 2010 09 15118·3
 2010 08 73118·1
 2010 07 77119.2
 2010 06 66119·3
 2010 05 32119.2
 2010 04 77119·4
 2010 03 81119·2
 2010 02 11119·9
 2010 01 44117.5
 2009 12  18121.2
 2009 11  11120.8
 2009 10  41120·0
 2009 09  93120.1
 2009 08  71121·0
 2009 07  72120.5
 2009 06  93122.8
 2009 05  50125.1
 2009 04  37126·5
 2009 03  98128·3
 2009 02  29130·4
 2009 01  8133·9
 2008 12 41136·8
 2008 11 43140·6
 2008 10 39146.2
 2008 09 86148·2
 2008 08 34149·7
 2008 07 91149.0
 2008 06 34151.2
 2008 05 30154.7
 2008 04 91156·1
 2008 03 47159·0
 2008 02 52161·2
 2008 01 7161·8
 2007 12  12162.6
 2007 11  44163.9
 2007 10  57164·4
 2007 09  12164.5
 2007 08  23165.5
 2007 07  37167·8
 2007 06  37170.7
 2007 05  64171.2
 2007 04  74173·2
 2007 03  9175.8
 2007 02  3177.3
 2007 01  8180.0
 2006 12 41184·0
 2006 11 66184·3
 2006 10 95186.2
 2006 09 11187·8
 2006 08 23192.1
 2006 07 40194·6
 2006 06 75196.2
 2006 05 70199.1
 2006 04 47201·7
 2006 03 88202·7
 2006 02 31206.0
 2006 01 2207.8
 2005 12  63207·9
 2005 11  90209.2
 2005 10  75212.5
 2005 09  52214·2
 2005 08  46216·0
 2005 07  55217.6
 2005 06  47219.7
 2005 05  88220·4
 2005 04  96221.0
 2005 03  12223·6
 2005 02  7225.1
 2005 01  6227·0
 2004 12 39230.1
 2004 11 20231.4
 2004 10 46233·5
 2004 09 24235.1
 2004 08 26236.0
 2004 07 59236.6
 2004 06 74237·6
 2004 05 87239.1
 2004 04 31240.4
 2004 03 37240.7
 2004 02 31239·8
 2004 01 63241·6
 2003 12  55243·4
 2003 11  85247.2
 2003 10  79249.3
 2003 09  46251·7
 2003 08  24253.7
 2003 07  59256·9
 2003 06  6264.8
 2003 05  57267.0
 2003 04  88271.2
 2003 03  42274·1
 2003 02  25276.9
 2003 01  38279.4
 2002 12 22280.4
 2002 11 39282·4
 2002 10 74283·8
 2002 09 59286·5
 2002 08 26289.5
 2002 07 83291·4
 2002 06 16291.8
 2002 05 15293·4
 2002 04 27295·2
 2002 03 30297.0
 2002 02 38298.5
 2002 01 24302.0
 2001 12  73306.3
 2001 11  62308·7
 2001 10  53314·2
 2001 09  30318·7
 2001 08  42323.7
 2001 07  85330·4
 2001 06  0335.8
 2001 05  3341.7
 2001 04  33346.5
 2001 03  31352.2
 2001 02  42353·0
 2001 01  37364·7
 2000 12 72367.5
 2000 11 57370.9
 2000 10 65373.1
 2000 09 51376·2
 2000 08 8379.5
 2000 07 45379.5
 2000 06 83380·0
 2000 05 88380·5
 2000 04 18381.7
 2000 03 0383.2
 2000 02 35384·4
 2000 01 19384·9
 1999 12  2387.1
 1999 11  55388.5
 1999 10  82390·9
 1999 09  38391.9
 1999 08  85393.1
 1999 07  67395.8
 1999 06  13396·6
 1999 05  63398.7
 1999 04  17401.5
 1999 03  16404.0
 1999 02  41406.9
 1999 01  38409.6
 1998 12 74412·0
 1998 11 10414·5
 1998 10 3417.2
 1998 09 33420.1
 1998 08 57419.4
 1998 07 80422.4
 1998 06 62426·7
 1998 05 42429.9
 1998 04 90431·4
 1998 03 83432.2
 1998 02 7433·5
 1998 01 84433·9
 1997 12  24435.6
 1997 11  0434.5
 1997 10  50435·3
 1997 09  4434·4
 1997 08  35434·6
 1997 07  39435.8
 1997 06  29436.3
 1997 05  69436·1
 1997 04  23436.6
 1997 03  30438·7
 1997 02  7436·7
 1997 01  75438·3
 1996 12 13437.9
 1996 11 31438.9
 1996 10 72441.3
 1996 09 41440·3
 1996 08 56442.4
 1996 07 22442·8
 1996 06 36443·7
 1996 05 10444.1
 1996 04 27442·8
 1996 03 12446.1
 1996 02 38448.4
 1996 01 53449·3
 1995 12  26453.2
 1995 11  30456·6
 1995 10  41457.8
 1995 09  62461·9
 1995 08  79464.7
 1995 07  35464·6
 1995 06  32470.9
 1995 05  57474·1
 1995 04  36479.6
 1995 03  7479.5
 1995 02  24480·9
 1995 01  83480.9
 1994 12 73480.4
 1994 11 54480·2
 1994 10 56480.0
 1994 09 8478·8
 1994 08 90479·1
 1994 07 6477·7
 1994 06 90476.9
 1994 05 27475.6
 1994 04 13475·2
 1994 03 21476·1
 1994 02 13475.8
 1994 01 59477·6
 1993 12  91477·3
 1993 11  80475·9
 1993 10  40477·2
 1993 09  47477.9
 1993 08  0475·9
 1993 07  90478.6
 1993 06  7479.9
 1993 05  62481·1
 1993 04  41481.2
 1993 03  83479·6
 1993 02  78480·2
 1993 01  96479·1
 1992 12 39478·9
 1992 11 14477.6
 1992 10 40478.3
 1992 09 70479·1
 1992 08 44478·1
 1992 07 67478.8
 1992 06 7478·7
 1992 05 27478·9
 1992 04 32479.5
 1992 03 46480.3
 1992 02 16479.9
 1992 01 37479·2
 1991 12  3480.5
 1991 11  85481.0
 1991 10  31483·6
 1991 09  94480.2
 1991 08  83480·3
 1991 07  39479·8
 1991 06  38478.8
 1991 05  16478·2
 1991 04  21477·4
 1991 03  91478.3
 1991 02  52477.6
 1991 01  48482·9
 1990 12 94483.0
 1990 11 46485.3
 1990 10 9489·3
 1990 09 60488·3
 1990 08 2489·3
 1990 07 37487.2
 1990 06 73491.3
 1990 05 45491.1
 1990 04 69495.8
 1990 03 20497·7
 1990 02 32500.1
 1990 01 22503.3
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NOTE: This is a small subset of the 4,000 series in group

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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


 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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