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 Series Title: Employees on Nonfarm Payrolls in Binghamton, NY (MSA): Thousands of Persons: NSA
   For this series:   Numerical Data  |  Source  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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Data from previous publication dates
 2012 04 39111.1
 2012 03 34109·8
 2012 02 54108·6
 2012 01 0107.3
 2011 12  2110·5
 2011 11  86111.8
 2011 10  85111·8
 2011 09  59109.9
 2011 08  50108.4
 2011 07  56108·0
 2011 06  37110.4
 2011 05  35110·0
 2011 04  33108.8
 2011 03  25107.3
 2011 02  20107·2
 2011 01  73106·8
 2010 12 27109.6
 2010 11 99110.7
 2010 10 75110.9
 2010 09 41109.8
 2010 08 32107.4
 2010 07 10107.8
 2010 06 62110·8
 2010 05 34111.4
 2010 04 74110.3
 2010 03 15108.3
 2010 02 71108·1
 2010 01 71107·2
 2009 12  3111·0
 2009 11  95111.5
 2009 10  14112·2
 2009 09  96111.3
 2009 08  95110·1
 2009 07  57110·2
 2009 06  29112.8
 2009 05  79113.2
 2009 04  49111·7
 2009 03  33111.1
 2009 02  79111.2
 2009 01  13110·3
 2008 12 91114.9
 2008 11 80115.5
 2008 10 52116.0
 2008 09 17115.3
 2008 08 72113.7
 2008 07 78114·2
 2008 06 60117.0
 2008 05 36116·6
 2008 04 68115·3
 2008 03 35113·8
 2008 02 42113·4
 2008 01 39112.8
 2007 12  77115.7
 2007 11  83116.5
 2007 10  61116.5
 2007 09  20115.4
 2007 08  26113·1
 2007 07  77113·5
 2007 06  3116·4
 2007 05  98115.8
 2007 04  66113·8
 2007 03  0112.9
 2007 02  83112·4
 2007 01  17112·3
 2006 12 71115·6
 2006 11 57115·7
 2006 10 38115·2
 2006 09 47113.8
 2006 08 42111·8
 2006 07 82110·8
 2006 06 31115·1
 2006 05 81114·7
 2006 04 4113·6
 2006 03 31111.5
 2006 02 50111.8
 2006 01 39110·8
 2005 12  8114·3
 2005 11  84114.8
 2005 10  8114·4
 2005 09  64113·6
 2005 08  29111.0
 2005 07  49110·4
 2005 06  43114·1
 2005 05  27113·6
 2005 04  68112·7
 2005 03  57110.6
 2005 02  17110.0
 2005 01  20109.4
 2004 12 49114.2
 2004 11 66114.6
 2004 10 18114·6
 2004 09 64113·3
 2004 08 24110.7
 2004 07 56110·6
 2004 06 60114.7
 2004 05 3114·4
 2004 04 67112·6
 2004 03 35112.1
 2004 02 80111.1
 2004 01 4109.4
 2003 12  80113·9
 2003 11  33114.0
 2003 10  42113.7
 2003 09  64113·6
 2003 08  87110.7
 2003 07  8110.5
 2003 06  32114·4
 2003 05  0114.5
 2003 04  39113·2
 2003 03  41112·0
 2003 02  64112.0
 2003 01  57111·1
 2002 12 11116·0
 2002 11 40116.2
 2002 10 77115·9
 2002 09 4115·6
 2002 08 4113.5
 2002 07 34112·9
 2002 06 31116.6
 2002 05 35117.2
 2002 04 43115.4
 2002 03 82115·8
 2002 02 17115.0
 2002 01 70114·3
 2001 12  78117·3
 2001 11  65118.4
 2001 10  46118.2
 2001 09  52118·3
 2001 08  85115.8
 2001 07  89116.1
 2001 06  56120.6
 2001 05  51121.6
 2001 04  64120.5
 2001 03  86119·9
 2001 02  10119·0
 2001 01  61117.7
 2000 12 41121·4
 2000 11 13121·7
 2000 10 97120.5
 2000 09 0120.3
 2000 08 66117·2
 2000 07 51116·7
 2000 06 29120·3
 2000 05 14120.1
 2000 04 14118.0
 2000 03 7117.8
 2000 02 44117·3
 2000 01 71116.3
 1999 12  86120·2
 1999 11  13120·4
 1999 10  4119.3
 1999 09  65118.8
 1999 08  7116.1
 1999 07  25115.6
 1999 06  98117.9
 1999 05  15118·3
 1999 04  27117·5
 1999 03  25116.4
 1999 02  39116·1
 1999 01  66114.2
 1998 12 23117·1
 1998 11 20117·8
 1998 10 64117.0
 1998 09 87115.4
 1998 08 94112·8
 1998 07 41112·6
 1998 06 37115.1
 1998 05 72115·9
 1998 04 65113.5
 1998 03 44113·0
 1998 02 45112.4
 1998 01 40111.2
 1997 12  88116.7
 1997 11  13117·4
 1997 10  1117.0
 1997 09  35114.8
 1997 08  37111.7
 1997 07  52111.1
 1997 06  44114.2
 1997 05  27114·2
 1997 04  13112·2
 1997 03  94110.8
 1997 02  35110.5
 1997 01  8108·9
 1996 12 42112.9
 1996 11 95113.5
 1996 10 63112·8
 1996 09 0112·0
 1996 08 73107.6
 1996 07 38107.7
 1996 06 41110.8
 1996 05 45111·2
 1996 04 82109·6
 1996 03 28109.5
 1996 02 6108·8
 1996 01 13107.1
 1995 12  69112·9
 1995 11  97113·0
 1995 10  22112·9
 1995 09  98112·4
 1995 08  61109.7
 1995 07  3109·4
 1995 06  77112·5
 1995 05  19112.5
 1995 04  6111.5
 1995 03  26111.3
 1995 02  82111·1
 1995 01  21110·3
 1994 12 82113·6
 1994 11 73114.3
 1994 10 77113.5
 1994 09 72113·7
 1994 08 87111·6
 1994 07 77110·8
 1994 06 24113.8
 1994 05 67113·8
 1994 04 47112.2
 1994 03 92111.5
 1994 02 11111·2
 1994 01 24109.6
 1993 12  14114.8
 1993 11  2115.0
 1993 10  51114·4
 1993 09  88113·8
 1993 08  61112·6
 1993 07  13112.6
 1993 06  81115.1
 1993 05  28114·9
 1993 04  91112.8
 1993 03  56112.0
 1993 02  65111.7
 1993 01  39110.9
 1992 12 27114.5
 1992 11 88115.0
 1992 10 91115.9
 1992 09 38116·2
 1992 08 20113.9
 1992 07 91113·4
 1992 06 71115·6
 1992 05 71115.3
 1992 04 46114.5
 1992 03 72113.3
 1992 02 44113.3
 1992 01 7112.9
 1991 12  6117·2
 1991 11  61117·4
 1991 10  71117.2
 1991 09  39116·3
 1991 08  24114.9
 1991 07  16114.3
 1991 06  42117.8
 1991 05  87117.3
 1991 04  51116.0
 1991 03  19116.0
 1991 02  69115·3
 1991 01  96115·3
 1990 12 62119.3
 1990 11 75119.4
 1990 10 89120·0
 1990 09 33120·4
 1990 08 58118.6
 1990 07 17118.2
 1990 06 67120·6
 1990 05 94120·4
 1990 04 63118.5
 1990 03 1119.3
 1990 02 89118.5
 1990 01 96118·4
 1989 12  30121·7
 1989 11  9121.5
 1989 10  68121.7
 1989 09  86121.0
 1989 08  32120·1
 1989 07  47119·9
 1989 06  43122.5
 1989 05  31121·8
 1989 04  71121.2
 1989 03  48120.9
 1989 02  77120·6
 1989 01  26119.7
 1988 12 71124·3
 1988 11 67124.6
 1988 10 56124·2
 1988 09 90123·4
 1988 08 83122·4
 1988 07 87122·6
 1988 06 95124.1
 1988 05 68123·4
 1988 04 83122·8
 1988 03 14121.9
 1988 02 31121·3
 1988 01 27121·0
 1987 12  70122·5
 1987 11  79122·9
 1987 10  26122·1
 1987 09  63120.4
 1987 08  71118.7
 1987 07  40118·5
 1987 06  70120.7
 1987 05  94119.5
 1987 04  35118·7
 1987 03  78117·4
 1987 02  74116·8
 1987 01  65116.6
 1986 12 38120.3
 1986 11 0120·5
 1986 10 76119·9
 1986 09 45119.2
 1986 08 81118·2
 1986 07 36117·8
 1986 06 41118·5
 1986 05 28118.0
 1986 04 89117·0
 1986 03 45116.4
 1986 02 54116.1
 1986 01 33115·9
 1985 12  11119·1
 1985 11  7119.3
 1985 10  30119·0
 1985 09  4118.0
 1985 08  24118·2
 1985 07  30118.1
 1985 06  5120.1
 1985 05  11119.1
 1985 04  28117·7
 1985 03  44117.1
 1985 02  44117.3
 1985 01  47117·1
 1984 12 49119.7
 1984 11 7120.3
 1984 10 34119·5
 1984 09 31118·4
 1984 08 36118.2
 1984 07 99116·2
 1984 06 87117·4
 1984 05 9115·2
 1984 04 65113.6
 1984 03 29112.2
 1984 02 43111.7
 1984 01 48111·3
 1983 12  37114.0
 1983 11  27113·6
 1983 10  62112·5
 1983 09  44111.7
 1983 08  77109.8
 1983 07  50109.6
 1983 06  35111·5
 1983 05  15110.1
 1983 04  35108·6
 1983 03  79108.0
 1983 02  72108.0
 1983 01  5107·8
 1982 12 87110.3
 1982 11 22110.8
 1982 10 13110·9
 1982 09 84111·0
 1982 08 32111.2
 1982 07 10111.1
 1982 06 20111·6
 1982 05 45111·0
 1982 04 98109.9
 1982 03 0110·4
 1982 02 81110.1
 1982 01 8110.5
 1981 12  33113·1
 1981 11  73113·3
 1981 10  9113.8
 1981 09  17112·5
 1981 08  13111·4
 1981 07  35110·3
 1981 06  42112.7
 1981 05  41111.3
 1981 04  39110.5
 1981 03  19109.0
 1981 02  43108·8
 1981 01  74107.9
 1980 12 36110·4
 1980 11 82110·6
 1980 10 99110.5
 1980 09 36108·9
 1980 08 55108.5
 1980 07 4108·8
 1980 06 23111·8
 1980 05 70111·4
 1980 04 70110.4
 1980 03 92110.4
 1980 02 54109.9
 1980 01 46109·3
 1979 12  82113·0
 1979 11  79112.2
 1979 10  54112.5
 1979 09  58111·4
 1979 08  17110·9
 1979 07  20110.0
 1979 06  12113.0
 1979 05  24111.5
 1979 04  25110·8
 1979 03  98110·1
 1979 02  39109.0
 1979 01  90109.0
 1978 12 82111·9
 1978 11 18112.0
 1978 10 75111.7
 1978 09 23110.8
 1978 08 87110.2
 1978 07 14108.8
 1978 06 81112.2
 1978 05 19110·8
 1978 04 66108·5
 1978 03 40106.8
 1978 02 46105.9
 1978 01 97105.0
 1977 12  70109.2
 1977 11  80109·0
 1977 10  82108.4
 1977 09  0106·7
 1977 08  74106.4
 1977 07  39105.6
 1977 06  28107.9
 1977 05  98106.8
 1977 04  78104·8
 1977 03  49104·0
 1977 02  47103.1
 1977 01  85102.8
 1976 12 7104.9
 1976 11 67105.4
 1976 10 26105.1
 1976 09 80104·3
 1976 08 13103·2
 1976 07 75102.0
 1976 06 78103·1
 1976 05 27102.4
 1976 04 71101·5
 1976 03 79100·3
 1976 02 4199.6
 1976 01 9599·6
 1975 12  80102.0
 1975 11  10101.9
 1975 10  77102.0
 1975 09  79100·7
 1975 08  6799.8
 1975 07  2699·7
 1975 06  76100·5
 1975 05  97101.3
 1975 04  8199.8
 1975 03  899.9
 1975 02  50100·2
 1975 01  94100·4
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 Series Title: Employees on Nonfarm Payrolls in Binghamton, NY (MSA): Thousands of Persons: NSA
   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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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