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 Series Title: US Retail Sales: Paint and wallpaper stores: NAICS 44412: NSA: Millions of dollars
   For this series:   Numerical Data  |  Source  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2001 01  59576.
 2001 02  69571·
 2001 03  23693·
 2001 04  23739·
 2001 05  96814·
 2001 06  70829·
 2001 07  78830.
 2001 08  80863·
 2001 09  17684·
 2001 10  88791·
 2001 11  53662·
 2001 12  54537·
 2002 01 73566.
 2002 02 5553.
 2002 03 60631.
 2002 04 90709.
 2002 05 41760·
 2002 06 28737·
 2002 07 38790·
 2002 08 57788.
 2002 09 20705.
 2002 10 87744.
 2002 11 49597.
 2002 12 48516·
 2003 01  35564·
 2003 02  41535.
 2003 03  81640.
 2003 04  84716.
 2003 05  37769.
 2003 06  69792.
 2003 07  48845·
 2003 08  8798·
 2003 09  2782·
 2003 10  80822·
 2003 11  86626.
 2003 12  89589.
 2004 01 30569.
 2004 02 5582·
 2004 03 60757.
 2004 04 21780·
 2004 05 46807.
 2004 06 0865·
 2004 07 56837.
 2004 08 24829.
 2004 09 0758·
 2004 10 46755.
 2004 11 87695.
 2004 12 41646·
 2005 01  69611·
 2005 02  52612·
 2005 03  93777·
 2005 04  43847.
 2005 05  52917.
 2005 06  48962·
 2005 07  35887·
 2005 08  22910·
 2005 09  75902·
 2005 10  90886.
 2005 11  1810.
 2005 12  98721.
 2006 01 87744·
 2006 02 62716·
 2006 03 4895.
 2006 04 16847.
 2006 05 66982·
 2006 06 68985.
 2006 07 83918·
 2006 08 44998.
 2006 09 10884·
 2006 10 41900.
 2006 11 99795.
 2006 12 77668·
 2007 01  46692.
 2007 02  38683.
 2007 03  42860·
 2007 04  33853.
 2007 05  23980·
 2007 06  40976.
 2007 07  23974.
 2007 08  571005.
 2007 09  18843.
 2007 10  53905.
 2007 11  81766·
 2007 12  18629·
 2008 01 30674.
 2008 02 10664·
 2008 03 78749.
 2008 04 10825·
 2008 05 85890·
 2008 06 67885·
 2008 07 3957·
 2008 08 52901.
 2008 09 33845·
 2008 10 6838·
 2008 11 69622.
 2008 12 89565·
 2009 01  50560·
 2009 02  33558.
 2009 03  12656.
 2009 04  89713·
 2009 05  36707·
 2009 06  79787.
 2009 07  97798·
 2009 08  47747.
 2009 09  17718.
 2009 10  3668·
 2009 11  11561·
 2009 12  81483.
 2010 01 42466·
 2010 02 85484.
 2010 03 67670·
 2010 04 37703.
 2010 05 87727·
 2010 06 31791·
 2010 07 2774.
 2010 08 82784.
 2010 09 54736.
 2010 10 74682.
 2010 11 80638·
 2010 12 12517.
 2011 01  66510·
 2011 02  71533·
 2011 03  89685·
 2011 04  45704.
 2011 05  75708·
 2011 06  2853·
 2011 07  42801.
 2011 08  26862.
 2011 09  55791.
 2011 10  74740.
 2011 11  75667.
 2011 12  23569.
 2012 01 8584·
 2012 02 20621.
 2012 03 53754.
 2012 04 31755·
 2012 05 58851·
 2012 06 95868.
 2012 07 63869.
 2012 08 69925.
 2012 09 56825.
 2012 10 82814·
 2012 11 19696·
 2012 12 81572.
 2013 01  78660.
 2013 02  86626.
 2013 03  57739·
 2013 04  36835·
 2013 05  23909·
 2013 06  41866·
 2013 07  41926·
 2013 08  29938·
 2013 09  18827.
 2013 10  1839.
 2013 11  58687·
 2013 12  78599·
 2014 01 12630.
 2014 02 50623·
 2014 03 23801.
 2014 04 28901.
 2014 05 81968·
 2014 06 93979.
 2014 07 711049·
 2014 08 47988·
 2014 09 25970·
 2014 10 62954·
 2014 11 68731·
 2014 12 30706·
 2015 01  70691.
 2015 02  14675·
 2015 03  99868·
 2015 04  97935.
 2015 05  66955.
 2015 06  311059.
 2015 07  791057.
 2015 08  901005·
 2015 09  89989·
 2015 10  18960·
 2015 11  44776·
 2015 12  80740·


 2016 01 38685·
 2016 02 9764·
 2016 03 59943.
 2016 04 60956·
 2016 05 40996.
 2016 06 591106.
 2016 07 111017·
 2016 08 501085.
 2016 09 451021.
 2016 10 50968·
 2016 11 12870.
 2016 12 94776·
 2017 01  27772·
 2017 02  88802.
 2017 03  11014·
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Data Headings



E-Commerce Retail Sales

US Retail Sales (Not Seasonally Adjusted): NAICS:

US Retail Sales (Seasonally Adjusted): NAICS:

US Retail Inventories (Not Seasonally Adjusted): NAICS

US Retail Inventories (Seasonally Adjusted): NAICS

US Inventory/Sales Ratios (Not Seasonally Adjusted): NAICS

US Inventory/Sales Ratios (Seasonally Adjusted): NAICS


 Series Title: US Retail Sales: Paint and wallpaper stores: NAICS 44412: NSA: Millions of dollars
   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

Similar Data:

     Retail Sales, Retail Inventory, and Personal Consumption Expenditure Data

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