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 Series Title: Furniture and home furnishings stores, NAICS = 442: 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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Go to end of data set
 1990 01 11440·5
 1990 02 38440·2
 1990 03 76439·1
 1990 04 2436.4
 1990 05 19435·1
 1990 06 29432·5
 1990 07 40432.1
 1990 08 87430·6
 1990 09 86425·9
 1990 10 13424.0
 1990 11 99422.0
 1990 12 64420.9
 1991 01  65418·9
 1991 02  70415·3
 1991 03  65413·7
 1991 04  78413.6
 1991 05  29413.1
 1991 06  7413·3
 1991 07  77411.9
 1991 08  97412·3
 1991 09  79412.2
 1991 10  57411.3
 1991 11  97410.5
 1991 12  17408.0
 1992 01 41409.3
 1992 02 76409·9
 1992 03 13410·0
 1992 04 55410·4
 1992 05 65409.8
 1992 06 45410·7
 1992 07 39410·7
 1992 08 56410.5
 1992 09 26409·6
 1992 10 71410.2
 1992 11 11410·6
 1992 12 90411.2
 1993 01  25413.6
 1993 02  86414.1
 1993 03  94415.9
 1993 04  50414.8
 1993 05  88417·0
 1993 06  46417.2
 1993 07  74418·3
 1993 08  56418·7
 1993 09  64421.0
 1993 10  33422.4
 1993 11  64424·7
 1993 12  51425.6
 1994 01 29427.0
 1994 02 54429·8
 1994 03 4431.7
 1994 04 5434.8
 1994 05 83436·5
 1994 06 40438.5
 1994 07 55441.8
 1994 08 12445.2
 1994 09 52449.3
 1994 10 47452.2
 1994 11 5456·0
 1994 12 91454.7
 1995 01  86458·1
 1995 02  59459.6
 1995 03  67461·1
 1995 04  87461.4
 1995 05  61460·6
 1995 06  81461·7
 1995 07  80461·7
 1995 08  67462.4
 1995 09  77461·5
 1995 10  44461.7
 1995 11  5462·0
 1995 12  28462.6
 1996 01 59463.6
 1996 02 6465·2
 1996 03 32463.9
 1996 04 87469.3
 1996 05 58472.5
 1996 06 48477·2
 1996 07 72477·5
 1996 08 88478.9
 1996 09 49479·4
 1996 10 77480·0
 1996 11 64480.2
 1996 12 2482.6
 1997 01  33481·7
 1997 02  24481·0
 1997 03  70481.8
 1997 04  22482.8
 1997 05  34483.1
 1997 06  46482·1
 1997 07  79483·7
 1997 08  67483·6
 1997 09  4485·7
 1997 10  25487·6
 1997 11  4488.7
 1997 12  81492.9
 1998 01 18490·8
 1998 02 67491.2
 1998 03 81492·0
 1998 04 34493.1
 1998 05 75495·2
 1998 06 4497.2
 1998 07 75498.6
 1998 08 20501.3
 1998 09 2503.5
 1998 10 93505·3
 1998 11 73508.5
 1998 12 57510·9
 1999 01  49512·3
 1999 02  15515·3
 1999 03  87514·9
 1999 04  90519·2
 1999 05  91521.3
 1999 06  77524.7
 1999 07  57526·9
 1999 08  89528·9
 1999 09  29530·0
 1999 10  10531.2
 1999 11  44531.9
 1999 12  46537.2
 2000 01 87536·8
 2000 02 72538.7
 2000 03 37540.8
 2000 04 82542.2
 2000 05 17541·7
 2000 06 43544.4
 2000 07 48545.7
 2000 08 40545.6
 2000 09 94545·6
 2000 10 31545·7
 2000 11 16545.4
 2000 12 90546.3
 2001 01  18548·2
 2001 02  66547.5
 2001 03  3546·4
 2001 04  26542·1
 2001 05  15543.0
 2001 06  7541·6
 2001 07  97538.1
 2001 08  67540.1
 2001 09  35539.3
 2001 10  34537.3
 2001 11  11536·3
 2001 12  57534.7
 2002 01 53531.2
 2002 02 54532·0
 2002 03 83534·1
 2002 04 64533·8
 2002 05 70536.2
 2002 06 98536.9
 2002 07 76540.6
 2002 08 85542.4
 2002 09 11542.7
 2002 10 24545.2
 2002 11 78544·5
 2002 12 36543·8
 2003 01  26543.7
 2003 02  13547·2
 2003 03  1543.9
 2003 04  64544·9
 2003 05  92544·2
 2003 06  71547.0
 2003 07  84545·9
 2003 08  36543.8
 2003 09  8547·8
 2003 10  31550·2
 2003 11  89553.3
 2003 12  47557.0
 2004 01 99557·9
 2004 02 48557·2
 2004 03 4559·6
 2004 04 16558·1
 2004 05 17558.5
 2004 06 5561.7
 2004 07 43563·4
 2004 08 87566.7
 2004 09 36567·2
 2004 10 8568.7
 2004 11 43570·7
 2004 12 30571.6
 2005 01  57570.4
 2005 02  88571·6
 2005 03  66573.0
 2005 04  38574·8
 2005 05  5577.7
 2005 06  3575·8
 2005 07  2577·2
 2005 08  30577·5
 2005 09  31579.5
 2005 10  35578·9
 2005 11  62579·8
 2005 12  52578.3
 2006 01 10584·9
 2006 02 88586·4
 2006 03 85587·4
 2006 04 71590.3
 2006 05 43590·5
 2006 06 97591.2
 2006 07 33589.5
 2006 08 82588.2
 2006 09 54585·4
 2006 10 16585·4
 2006 11 95579·8
 2006 12 5582·1
 2007 01  94582.3
 2007 02  28583·3
 2007 03  83582.4
 2007 04  83581·8
 2007 05  39580·6
 2007 06  39575·8
 2007 07  36571·1
 2007 08  85570·0
 2007 09  90563·5
 2007 10  80562.5
 2007 11  15568.5
 2007 12  5566·9
 2008 01 70562·9
 2008 02 10558·0
 2008 03 9550·9
 2008 04 64546.8
 2008 05 32542·8
 2008 06 8537·3
 2008 07 31533·9
 2008 08 4527.1
 2008 09 49520·6
 2008 10 83509.9
 2008 11 19495·8
 2008 12 96484·4
 2009 01  23475.7
 2009 02  65466·1
 2009 03  36459.2
 2009 04  32453.6
 2009 05  79447.7
 2009 06  11444·7
 2009 07  69444·4
 2009 08  33442.6
 2009 09  68440.6
 2009 10  2438.9
 2009 11  32440.1
 2009 12  42438.6
 2010 01 64438.2
 2010 02 46439·0
 2010 03 62439.2
 2010 04 29437·4
 2010 05 68438·3
 2010 06 74439.2
 2010 07 22436·2
 2010 08 87436·0
 2010 09 6438·1
 2010 10 43440·4
 2010 11 0438.5
 2010 12 37440.5
 2011 01  28438.8
 2011 02  34439·2
 2011 03  9440·1
 2011 04  21440.2
 2011 05  9439·0
 2011 06  54438·7
 2011 07  87439·6
 2011 08  10438·1
 2011 09  49439·2
 2011 10  35440·8
 2011 11  97439.8
 2011 12  96438·7
 2012 01 75439·2
 2012 02 32437.9
 2012 03 26438.9
 2012 04 1437.2
 2012 05 37438.9
 2012 06 29437·9
 2012 07 88437.5
 2012 08 66438·6
 2012 09 9437·6
 2012 10 31438.5
 2012 11 21440·8
 2012 12 63441.0
 2013 01  92442.4
 2013 02  70444·0
 2013 03  87443.2
 2013 04  84446.0
 2013 05  12446.3
 2013 06  3445·4
 2013 07  74446.3
 2013 08  49440·9
 2013 09  19442.4
 2013 10  12445.1
 2013 11  95447·5
 2013 12  3450.8
 2014 01 89450·2
 2014 02 2451·3
 2014 03 88451.1
 2014 04 13451·7
 2014 05 21451.7
 2014 06 7452.6
 2014 07 16454·2
 2014 08 75458·3
 2014 09 42461.2
 2014 10 81463·0


 2014 11 67462·8
 2014 12 8460·2
 2015 01  1463.4
 2015 02  8469.1
 2015 03  53468·2
 2015 04  55468.7
 2015 05  74470.6
 2015 06  93472.4
 2015 07  13472·9
 2015 08  86473·4
 2015 09  62471.4
 2015 10  68468.0
 2015 11  10469·5
 2015 12  95467·7
 2016 01 89475.0
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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: Furniture and home furnishings stores, NAICS = 442: 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

Make charts for Okun's Law and Phillip's Curve

Sites of Interest: hodress.com.au * The Wall Street Examiner: Be prepared. Stay ahead of the herd

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