Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Alabama: General Freight Trucking; 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
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 2002 01 8120·8
 2002 02 1020.8
 2002 03 7820·9
 2002 04 7620.7
 2002 05 1920·9
 2002 06 2121.0
 2002 07 320·9
 2002 08 1320.9
 2002 09 7920·9
 2002 10 8820·5
 2002 11 8620.4
 2002 12 420.1
 2003 01  1220·0
 2003 02  9019·7
 2003 03  3819.7
 2003 04  9519·8
 2003 05  9319·8
 2003 06  3619.8
 2003 07  9920.0
 2003 08  5319·9
 2003 09  2320.0
 2003 10  5620·0
 2003 11  3020·0
 2003 12  7420·0
 2004 01 2719·8
 2004 02 819·9
 2004 03 2020·1
 2004 04 7720.0
 2004 05 5620.2
 2004 06 7220·5
 2004 07 8120.6
 2004 08 520.6
 2004 09 8520·6
 2004 10 5620.5
 2004 11 5220·5
 2004 12 2820·6
 2005 01  1420·1
 2005 02  9220·2
 2005 03  9620·4
 2005 04  4020.5
 2005 05  6920.5
 2005 06  3520·7
 2005 07  9920·9
 2005 08  6021.0
 2005 09  021.1
 2005 10  6721·0
 2005 11  7621·0
 2005 12  3221.1
 2006 01 8221.0
 2006 02 9621·0
 2006 03 6421·1
 2006 04 2521.1
 2006 05 1621.1
 2006 06 5321·4
 2006 07 2621·4
 2006 08 3421·5
 2006 09 2821.8
 2006 10 9421.4
 2006 11 5021.4
 2006 12 7721·4
 2007 01  6721·0
 2007 02  020·9
 2007 03  4921·0
 2007 04  9920·6
 2007 05  920.8
 2007 06  8021.0
 2007 07  6020·9
 2007 08  6920.9
 2007 09  5520·9
 2007 10  6420·6
 2007 11  4620.5
 2007 12  8120·5
 2008 01 3020·3
 2008 02 920.1
 2008 03 9620.0
 2008 04 5519.9
 2008 05 8319·8
 2008 06 9719.9
 2008 07 2320·0
 2008 08 3320·0
 2008 09 9220·0
 2008 10 3319·6
 2008 11 6319.4
 2008 12 8619·1
 2009 01  5517.9
 2009 02  5117.8
 2009 03  8117.7
 2009 04  817·4
 2009 05  9917.6
 2009 06  617·5
 2009 07  6417.3
 2009 08  1717.3
 2009 09  7417.2
 2009 10  8117.0
 2009 11  2417.0
 2009 12  5816.9
 2010 01 5516·8
 2010 02 8116.8
 2010 03 016.9
 2010 04 017·3
 2010 05 4217·4
 2010 06 3817.5
 2010 07 5517.6
 2010 08 3717.6
 2010 09 6117·7
 2010 10 1017.5
 2010 11 7717·4
 2010 12 8917·4
 2011 01  6316·8
 2011 02  7816.9
 2011 03  7716·9
 2011 04  9917·1
 2011 05  2217·0
 2011 06  4717·0
 2011 07  9616·9
 2011 08  3717·1
 2011 09  4017·1
 2011 10  5116·9
 2011 11  9416.8
 2011 12  9616.7
 2012 01 4116.8
 2012 02 4616·8
 2012 03 6017.0
 2012 04 9616·9
 2012 05 7616.8
 2012 06 1316·9
 2012 07 816.8
 2012 08 8117·0
 2012 09 2017.0
 2012 10 5817.0
 2012 11 7417·0
 2012 12 2017.1
 2013 01  7416·9
 2013 02  1516·9
 2013 03  2216.9
 2013 04  816·8
 2013 05  6416.8
 2013 06  3816.9
 2013 07  4016·8
 2013 08  6316.9
 2013 09  3817.0
 2013 10  1117.0
 2013 11  4017·1
 2013 12  2917·1
 2014 01 7416.7
 2014 02 3816·8
 2014 03 6116·9
 2014 04 7717.0
 2014 05 7017.0
 2014 06 5317.1
 2014 07 6516.9
 2014 08 9917·1
 2014 09 5417.2
 2014 10 1217.0
 2014 11 4017·1
 2014 12 1517.1
 2015 01  7417.0
 2015 02  9717.0
 2015 03  017·1
 2015 04  6917·1
 2015 05  717·2
 2015 06  1317·3
 2015 07  8117.2
 2015 08  3017·3
 2015 09  5317.4
 2015 10  9317·3
 2015 11  4717.4
 2015 12  9317·4
 2016 01 3717.3
 2016 02 9317.4
 2016 03 8717.4
 2016 04 7617.4
 2016 05 917·4
 2016 06 9617.3
 2016 07 1117.4
 2016 08 2417·5
 2016 09 4617.6
 2016 10 617.6
 2016 11 6017·5
 2016 12 617.6
 2017 01  4617.3
 2017 02  5817.3
 2017 03  9417.3
 2017 04  1617·1


 2017 05  3717.2
 2017 06  617.2
 2017 07  417.0
 2017 08  7317·2
 2017 09  6817·2
 2017 10  3217.1
 2017 11  017.1
 2017 12  2117·1
 2018 01 1416.8
 2018 02 4416.8
 2018 03 2116.9
 2018 04 2916.9
 2018 05 7716·9
 2018 06 7317·1
 2018 07 3117·1
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series


Seasonally Adjusted Series

NSA = Not Seasonally Adjusted