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 Series Title: Florence-Muscle Shoals, AL, Alabama: Trade, Transportation, and Utilities; All Employees; Thousands; NSA (old benchmark 2017)
   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 01 449·2
 1990 02 439·2
 1990 03 269·2
 1990 04 469·5
 1990 05 819.5
 1990 06 79·6
 1990 07 79.6
 1990 08 929·6
 1990 09 529.6
 1990 10 389·6
 1990 11 589.8
 1990 12 59.9
 1991 01  109·5
 1991 02  199.4
 1991 03  919·6
 1991 04  299·6
 1991 05  289.7
 1991 06  549·6
 1991 07  449.7
 1991 08  349·7
 1991 09  89.6
 1991 10  779.9
 1991 11  8110·0
 1991 12  1410.1
 1992 01 749·7
 1992 02 449·7
 1992 03 899.8
 1992 04 889·9
 1992 05 779.9
 1992 06 369.9
 1992 07 8210·2
 1992 08 010.3
 1992 09 9310.2
 1992 10 6010.2
 1992 11 9610.4
 1992 12 1910.5
 1993 01  2110.0
 1993 02  4810.1
 1993 03  9510.1
 1993 04  3910·3
 1993 05  8810.3
 1993 06  5610.4
 1993 07  6710.4
 1993 08  8010.4
 1993 09  4310.4
 1993 10  6610·6
 1993 11  2410·8
 1993 12  8610·9
 1994 01 6310·3
 1994 02 8510.3
 1994 03 610·5
 1994 04 2610.6
 1994 05 4610·6
 1994 06 4410·8
 1994 07 7310·9
 1994 08 9310.9
 1994 09 2011.1
 1994 10 011·1
 1994 11 1511.4
 1994 12 811.6
 1995 01  3311.0
 1995 02  3411.1
 1995 03  4411.3
 1995 04  1411.4
 1995 05  6311·4
 1995 06  5411.7
 1995 07  9911·6
 1995 08  8011.5
 1995 09  811·6
 1995 10  9011·6
 1995 11  4111·9
 1995 12  112.1
 1996 01 9411.7
 1996 02 011.6
 1996 03 5911·8
 1996 04 9611·8
 1996 05 7211·8
 1996 06 6511·8
 1996 07 6611·9
 1996 08 811.9
 1996 09 1811.9
 1996 10 9211·9
 1996 11 012.0
 1996 12 712.2
 1997 01  3111.6
 1997 02  1211.6
 1997 03  2311.7
 1997 04  8811·7
 1997 05  3611.9
 1997 06  8311·9
 1997 07  2411·8
 1997 08  6811.8
 1997 09  8512.0
 1997 10  8511.8
 1997 11  1512·0
 1997 12  9312.1
 1998 01 5311.5
 1998 02 2511.4
 1998 03 3511·5
 1998 04 3211·6
 1998 05 4011.7
 1998 06 3511.6
 1998 07 4511·7
 1998 08 7811.6
 1998 09 7111·7
 1998 10 7211·5
 1998 11 3511·7
 1998 12 5011·8
 1999 01  9711.3
 1999 02  1711.4
 1999 03  1611.5
 1999 04  9411·5
 1999 05  9411·5
 1999 06  7711.6
 1999 07  2711·7
 1999 08  7811.7
 1999 09  6111.6
 1999 10  8311.7
 1999 11  3112.0
 1999 12  9612.1
 2000 01 2411·6
 2000 02 9311.6
 2000 03 1611.7
 2000 04 6811·6
 2000 05 3311·7
 2000 06 8711·8
 2000 07 9411.7
 2000 08 3711·7
 2000 09 6411.8
 2000 10 7311·7
 2000 11 411·9
 2000 12 7212.0
 2001 01  1811·8
 2001 02  8211.7
 2001 03  711.7
 2001 04  6811.4
 2001 05  1911·4
 2001 06  7011·5
 2001 07  9311·2
 2001 08  4511.2
 2001 09  1811·2
 2001 10  2011·1
 2001 11  7411.3
 2001 12  4511·5
 2002 01 9010·8
 2002 02 3810·7
 2002 03 8810·8
 2002 04 3810.8
 2002 05 3610.9
 2002 06 5610.8
 2002 07 9810·9
 2002 08 1910.8
 2002 09 8210.8
 2002 10 2910.9
 2002 11 9111.1
 2002 12 711·2
 2003 01  7610.7
 2003 02  4110.6
 2003 03  8110·7
 2003 04  4410.8
 2003 05  9610.9
 2003 06  9810·9
 2003 07  611.0
 2003 08  211.0
 2003 09  4111·0
 2003 10  3011.0
 2003 11  2811.2
 2003 12  7411·3
 2004 01 3710.9
 2004 02 9510.7
 2004 03 3510.9
 2004 04 7811.0
 2004 05 3411.1
 2004 06 7511·0
 2004 07 4110.9
 2004 08 6011·0
 2004 09 711·0
 2004 10 7611·2
 2004 11 8211·5
 2004 12 8811.6
 2005 01  5811.3
 2005 02  3011.2
 2005 03  2311·3
 2005 04  5711.2
 2005 05  1011.3
 2005 06  9311·3
 2005 07  5011.2
 2005 08  8511·3
 2005 09  1611.3
 2005 10  4711·1
 2005 11  7711·5
 2005 12  1711.7
 2006 01 4911.2
 2006 02 9911.2
 2006 03 4211.4
 2006 04 2211.5
 2006 05 1111·5
 2006 06 8111·5
 2006 07 711·4
 2006 08 9311.4
 2006 09 2611·6
 2006 10 4811·6
 2006 11 6011·8
 2006 12 5112·0
 2007 01  4611·5
 2007 02  8311·5
 2007 03  1511.6
 2007 04  4011·7
 2007 05  4511·8
 2007 06  9211.9
 2007 07  911.8
 2007 08  2711.8
 2007 09  2511·8
 2007 10  711.9
 2007 11  512.0
 2007 12  912·1
 2008 01 1011·8
 2008 02 8411·7
 2008 03 9211.8
 2008 04 311·5
 2008 05 5011·6
 2008 06 611.7
 2008 07 8111.6
 2008 08 5411.6
 2008 09 2211.6
 2008 10 7811.5
 2008 11 1011·7
 2008 12 3111·8
 2009 01  2611·2
 2009 02  3311·0
 2009 03  4410.9
 2009 04  2810.9
 2009 05  8610.9
 2009 06  2710·9
 2009 07  6910.8
 2009 08  6410.9
 2009 09  5410·9
 2009 10  4211·0
 2009 11  9811.2
 2009 12  8411.3
 2010 01 411·2
 2010 02 8411·0
 2010 03 7011·2
 2010 04 5611·2
 2010 05 3811.3
 2010 06 8511.2
 2010 07 4611·2
 2010 08 7511·2
 2010 09 8011·1
 2010 10 211.3
 2010 11 1611.4
 2010 12 6011.6
 2011 01  8111·1
 2011 02  1611.1
 2011 03  9211.2
 2011 04  5511·0
 2011 05  1611·1
 2011 06  3411.1
 2011 07  1211.1
 2011 08  2911·1
 2011 09  8611.1
 2011 10  8711·3
 2011 11  3911·5
 2011 12  7611.6
 2012 01 1611·2
 2012 02 3311·1
 2012 03 6011·1
 2012 04 1611·0
 2012 05 5711·0
 2012 06 5311·0
 2012 07 8911.0
 2012 08 9210·9
 2012 09 8311.0
 2012 10 5311.1
 2012 11 6311·4
 2012 12 7411·4
 2013 01  9610·9
 2013 02  6510.9
 2013 03  4610.9
 2013 04  5610·9
 2013 05  2111·0
 2013 06  4610.9
 2013 07  2511·1
 2013 08  5711·0
 2013 09  711·0
 2013 10  7810.9
 2013 11  1211·4
 2013 12  2111.5
 2014 01 3111·1
 2014 02 6611.1
 2014 03 4711·2
 2014 04 1711·2
 2014 05 9311·3
 2014 06 4411.2
 2014 07 9211·1
 2014 08 3911·2
 2014 09 1711·1
 2014 10 6611.1
 2014 11 3511.4
 2014 12 711.5
 2015 01  5611.0
 2015 02  1610.9
 2015 03  8811.0
 2015 04  6511·1
 2015 05  8311.1
 2015 06  9911·2
 2015 07  9011·1
 2015 08  8211·2
 2015 09  011·1
 2015 10  4811.3
 2015 11  311.8
 2015 12  5111.9
 2016 01 3211·3
 2016 02 1811·2
 2016 03 1611·3
 2016 04 9311.3
 2016 05 2911.4
 2016 06 9211·3
 2016 07 4111·4
 2016 08 5111.4
 2016 09 6611.7
 2016 10 7611.7
 2016 11 1612·0
 2016 12 9412·0
 2017 01  4511.5
 2017 02  211.5
 2017 03  411·5
 2017 04  1711·4
 2017 05  8911.5
 2017 06  2611·5
 2017 07  9311·4
 2017 08  3811·4
 2017 09  5111.5
 2017 10  3111·4
 2017 11  9511.7


 2017 12  311·8
 2018 01 411.5
 2018 02 2211·4
 2018 03 5011.5
 2018 04 7911.5
 2018 05 5011.6
 2018 06 3211.5
 2018 07 1911.5
 2018 08 6111·4
 2018 09 1411·5
 2018 10 1711.8
 2018 11 9012·1
 2018 12 6911·7
 2019 01  4611.3
 2019 02  5811.5
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  •  Series Title: Florence-Muscle Shoals, AL, Alabama: Trade, Transportation, and Utilities; All Employees; Thousands; NSA (old benchmark 2017)
       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

    Find out about Advanced Features such as online regressions, XY plots, and multiple series charting.

    Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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