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 Series Title: Hires: Real estate and rental and leasing: 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 3948·
 2001 01  7397·
 2001 02  7874.
 2001 03  7652·
 2001 04  1399·
 2001 05  3573·
 2001 06  9385.
 2001 07  6687.
 2001 08  1558.
 2001 09  5895.
 2001 10  7173·
 2001 11  1872·
 2001 12  9735.
 2002 01 2493.
 2002 02 2651·
 2002 03 7458.
 2002 04 3497.
 2002 05 3983·
 2002 06 9481.
 2002 07 699·
 2002 08 2569.
 2002 09 3472·
 2002 10 4066.
 2002 11 561.
 2002 12 9752.
 2003 01  6894·
 2003 02  5170.
 2003 03  9371.
 2003 04  0116.
 2003 05  20108·
 2003 06  4090·
 2003 07  12102·
 2003 08  979·
 2003 09  9974.
 2003 10  4481·
 2003 11  3255.
 2003 12  2547·
 2004 01 3480·
 2004 02 2752·
 2004 03 4863.
 2004 04 72100.
 2004 05 84134·
 2004 06 76119.
 2004 07 77106·
 2004 08 271·
 2004 09 3091.
 2004 10 5103.
 2004 11 6561·
 2004 12 8967.
 2005 01  78101.
 2005 02  5283.
 2005 03  8166·
 2005 04  3592.
 2005 05  60108.
 2005 06  7888.
 2005 07  1886·
 2005 08  6473·
 2005 09  3284.
 2005 10  73104.
 2005 11  9773·
 2005 12  2856.
 2006 01 7781.
 2006 02 4883.
 2006 03 6079.
 2006 04 0105·
 2006 05 190.
 2006 06 43111·
 2006 07 77109.
 2006 08 8283·
 2006 09 3682.
 2006 10 19105.
 2006 11 4383.
 2006 12 9962.
 2007 01  3773.
 2007 02  6572.
 2007 03  76100.
 2007 04  287.
 2007 05  88121.
 2007 06  9383·
 2007 07  2189.
 2007 08  6684.
 2007 09  9493.
 2007 10  4296.
 2007 11  4671·
 2007 12  9163·
 2008 01 8782·
 2008 02 7469·
 2008 03 4667·
 2008 04 296·
 2008 05 2494·
 2008 06 7898.
 2008 07 4081·
 2008 08 5177·
 2008 09 8674.
 2008 10 6575.
 2008 11 7346·
 2008 12 1243.
 2009 01  8164·
 2009 02  7546·
 2009 03  1257·
 2009 04  8575·
 2009 05  3964·
 2009 06  6985.
 2009 07  5388·
 2009 08  9786.
 2009 09  1761.
 2009 10  3679.
 2009 11  1439.
 2009 12  9858.
 2010 01 9864·
 2010 02 8946·
 2010 03 4140·
 2010 04 6377·
 2010 05 8772·
 2010 06 6674·
 2010 07 065·
 2010 08 9257.
 2010 09 1642.
 2010 10 2952.
 2010 11 8841·
 2010 12 1053.
 2011 01  4261.
 2011 02  6641·
 2011 03  2357.
 2011 04  6959·
 2011 05  4753.
 2011 06  9075·
 2011 07  5056·
 2011 08  4472.
 2011 09  3748·
 2011 10  4080·
 2011 11  3650·
 2011 12  3436.
 2012 01 4455.
 2012 02 7846.
 2012 03 7758.
 2012 04 6681·
 2012 05 2472.
 2012 06 9174·
 2012 07 9268·
 2012 08 9072.
 2012 09 6071·
 2012 10 9470.
 2012 11 2557·
 2012 12 8054·
 2013 01  5776·
 2013 02  2364.
 2013 03  4458·
 2013 04  3869·
 2013 05  4775·
 2013 06  4180·
 2013 07  4575.
 2013 08  8971·
 2013 09  8882.
 2013 10  3777·
 2013 11  4655.
 2013 12  8445·
 2014 01 6063·
 2014 02 2446.
 2014 03 9171·
 2014 04 9787·
 2014 05 7182.
 2014 06 3874.
 2014 07 5067.
 2014 08 2982.
 2014 09 5155.
 2014 10 4466.
 2014 11 1673.
 2014 12 640·
 2015 01  5875.
 2015 02  2943.
 2015 03  952·
 2015 04  7784·
 2015 05  7368.
 2015 06  666·
 2015 07  7466.
 2015 08  1960.
 2015 09  467.
 2015 10  1377.
 2015 11  7866.
 2015 12  3152.
 2016 01 8074.
 2016 02 1252·
 2016 03 1679.
 2016 04 3990.
 2016 05 6072·
 2016 06 9283·
 2016 07 872.
 2016 08 9454.
 2016 09 2555·
 2016 10 6569·
 2016 11 9753.
 2016 12 7145·
 2017 01  8178·
 2017 02  7048.
 2017 03  5376.
 2017 04  6988.


 2017 05  6086.
 2017 06  6990·
 2017 07  7069.
 2017 08  1677.
 2017 09  1961.
 2017 10  5084.
 2017 11  6657·
 2017 12  6042·
 2018 01 3976.
 2018 02 2756·
 2018 03 8768·
 2018 04 7885.
 2018 05 2782·
 2018 06 3692.
 2018 07 184.
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 Series Title: Hires: Real estate and rental and leasing: 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

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