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 Series Title: Other separations: Retail trade: US: Level; Thousands; NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 12 4928·
 2001 01  80122.
 2001 02  3450.
 2001 03  8932.
 2001 04  4752·
 2001 05  1137·
 2001 06  8918·
 2001 07  1438.
 2001 08  531.
 2001 09  3545.
 2001 10  3850·
 2001 11  3230.
 2001 12  7438·
 2002 01 3361·
 2002 02 9534.
 2002 03 8720.
 2002 04 2947.
 2002 05 1134.
 2002 06 9740.
 2002 07 4775·
 2002 08 6960·
 2002 09 253.
 2002 10 830·
 2002 11 741·
 2002 12 2236.
 2003 01  6188.
 2003 02  1552.
 2003 03  8630·
 2003 04  3720·
 2003 05  7139·
 2003 06  3138.
 2003 07  2840·
 2003 08  8933.
 2003 09  3754.
 2003 10  9443.
 2003 11  236·
 2003 12  7830.
 2004 01 9359.
 2004 02 6721·
 2004 03 247.
 2004 04 3134.
 2004 05 9443.
 2004 06 3846·
 2004 07 4961·
 2004 08 9847·
 2004 09 2137.
 2004 10 1955·
 2004 11 8554·
 2004 12 5437·
 2005 01  8346.
 2005 02  4946·
 2005 03  7956.
 2005 04  9936.
 2005 05  925.
 2005 06  9129·
 2005 07  2743.
 2005 08  5836·
 2005 09  5836.
 2005 10  3132·
 2005 11  4729·
 2005 12  8367.
 2006 01 1049.
 2006 02 8449·
 2006 03 8351.
 2006 04 4951.
 2006 05 7274.
 2006 06 8771.
 2006 07 452·
 2006 08 5546.
 2006 09 7655·
 2006 10 447.
 2006 11 544.
 2006 12 2855.
 2007 01  7977·
 2007 02  2143.
 2007 03  563·
 2007 04  1854·
 2007 05  6133.
 2007 06  5257·
 2007 07  4747.
 2007 08  9945·
 2007 09  3146·
 2007 10  3440.
 2007 11  156·
 2007 12  7459.
 2008 01 1853.
 2008 02 3163.
 2008 03 6265.
 2008 04 66106.
 2008 05 8143·
 2008 06 3148·
 2008 07 4743.
 2008 08 2649.
 2008 09 141.
 2008 10 4644.
 2008 11 252·
 2008 12 3042·
 2009 01  8466.
 2009 02  1434·
 2009 03  9648·
 2009 04  7886·
 2009 05  6156·
 2009 06  9832.
 2009 07  2247.
 2009 08  9659.
 2009 09  9139·
 2009 10  8748.
 2009 11  028.
 2009 12  3329.
 2010 01 5346.
 2010 02 9239·
 2010 03 7424·
 2010 04 6641.
 2010 05 5654.
 2010 06 5236.
 2010 07 1337.
 2010 08 9480·
 2010 09 3035·
 2010 10 3037.
 2010 11 1133.
 2010 12 4431·
 2011 01  3255.
 2011 02  1432·
 2011 03  8726.
 2011 04  6431·
 2011 05  4450·
 2011 06  1536·
 2011 07  8651·
 2011 08  3239·
 2011 09  7242.
 2011 10  7455.
 2011 11  7739.
 2011 12  4727·
 2012 01 4866.
 2012 02 5133·
 2012 03 5339.
 2012 04 3443·
 2012 05 3050.
 2012 06 3650.
 2012 07 3560.
 2012 08 4445.
 2012 09 9755.
 2012 10 4144.
 2012 11 6537·
 2012 12 5353.
 2013 01  5867.
 2013 02  455.
 2013 03  1431·
 2013 04  6144·
 2013 05  4352.
 2013 06  8747·
 2013 07  7548·
 2013 08  9262.
 2013 09  960·
 2013 10  7948.
 2013 11  6755·
 2013 12  9852·
 2014 01 3965·
 2014 02 9372·
 2014 03 3568.
 2014 04 5471.
 2014 05 3885·
 2014 06 6767.
 2014 07 48100.
 2014 08 6193.
 2014 09 3887·
 2014 10 6368·
 2014 11 9962·
 2014 12 4398·
 2015 01  96120.
 2015 02  6970.
 2015 03  956·
 2015 04  5158·
 2015 05  9387·
 2015 06  9867.
 2015 07  2196.
 2015 08  61105·
 2015 09  3772·
 2015 10  8853.
 2015 11  464.
 2015 12  7360·


 2016 01 58104.
 2016 02 289·
 2016 03 5356·
 2016 04 1167·
 2016 05 1476.
 2016 06 2948·
 2016 07 8662·
 2016 08 2865·
 2016 09 8550.
 2016 10 7961.
 2016 11 4839.
 2016 12 9851·
 2017 01  8060·
 2017 02  9347.
 2017 03  839·
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 Series Title: Other separations: Retail trade: US: Level; Thousands; 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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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