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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 12 548·
 2001 01  7397·
 2001 02  3774.
 2001 03  8752.
 2001 04  3899.
 2001 05  573·
 2001 06  885·
 2001 07  9487·
 2001 08  9358·
 2001 09  9295.
 2001 10  3673·
 2001 11  5672·
 2001 12  2235·
 2002 01 1593·
 2002 02 3351.
 2002 03 1758·
 2002 04 9897.
 2002 05 8183.
 2002 06 3981·
 2002 07 4699.
 2002 08 2469.
 2002 09 2272.
 2002 10 1666·
 2002 11 3761.
 2002 12 2352.
 2003 01  9394·
 2003 02  5170·
 2003 03  1071·
 2003 04  48116.
 2003 05  78108·
 2003 06  5890.
 2003 07  9102.
 2003 08  7279.
 2003 09  8374.
 2003 10  7481.
 2003 11  255·
 2003 12  9647·
 2004 01 3880.
 2004 02 6352·
 2004 03 8463·
 2004 04 46100.
 2004 05 2134·
 2004 06 12119·
 2004 07 74106.
 2004 08 7271.
 2004 09 5591.
 2004 10 34103·
 2004 11 1661·
 2004 12 5067.
 2005 01  4101·
 2005 02  6883.
 2005 03  8066.
 2005 04  8092.
 2005 05  80108.
 2005 06  7588·
 2005 07  5986.
 2005 08  8673.
 2005 09  4284.
 2005 10  44104.
 2005 11  7373·
 2005 12  2156·
 2006 01 6981.
 2006 02 8883·
 2006 03 6579.
 2006 04 59105·
 2006 05 6990.
 2006 06 44111.
 2006 07 6109.
 2006 08 083·
 2006 09 7382.
 2006 10 76105.
 2006 11 8883.
 2006 12 7062·
 2007 01  3873.
 2007 02  7172.
 2007 03  32100·
 2007 04  1987·
 2007 05  46121·
 2007 06  4383.
 2007 07  8089.
 2007 08  2284·
 2007 09  393.
 2007 10  2996·
 2007 11  471·
 2007 12  8163.
 2008 01 4182.
 2008 02 9269.
 2008 03 9667.
 2008 04 2096.
 2008 05 1794·
 2008 06 2098.
 2008 07 7581·
 2008 08 9077.
 2008 09 1174·
 2008 10 2675.
 2008 11 8746·
 2008 12 6643·
 2009 01  3264.
 2009 02  4746·
 2009 03  9957·
 2009 04  4975·
 2009 05  1064.
 2009 06  4785.
 2009 07  788·
 2009 08  6486·
 2009 09  261.
 2009 10  1479·
 2009 11  2939·
 2009 12  6158·
 2010 01 9064·
 2010 02 6046.
 2010 03 940.
 2010 04 1577·
 2010 05 8072·
 2010 06 2474·
 2010 07 1765·
 2010 08 2857·
 2010 09 442.
 2010 10 6752·
 2010 11 4641·
 2010 12 2553.
 2011 01  1961.
 2011 02  7941.
 2011 03  1757.
 2011 04  5559.
 2011 05  653.
 2011 06  7275·
 2011 07  7256.
 2011 08  9572·
 2011 09  7248.
 2011 10  8480·
 2011 11  8250.
 2011 12  4436·
 2012 01 4955·
 2012 02 7746.
 2012 03 4058·
 2012 04 2881.
 2012 05 9272.
 2012 06 4074·
 2012 07 6568.
 2012 08 9872.
 2012 09 8571·
 2012 10 8670·
 2012 11 257.
 2012 12 2954·
 2013 01  3377·
 2013 02  5263·
 2013 03  1957·
 2013 04  2167.
 2013 05  6976·
 2013 06  182.
 2013 07  1277·
 2013 08  072.
 2013 09  4883·
 2013 10  2278·
 2013 11  9853.
 2013 12  1645·
 2014 01 5262·
 2014 02 2645.
 2014 03 2271.
 2014 04 4484·
 2014 05 8983.
 2014 06 5376·
 2014 07 5468·
 2014 08 8583·
 2014 09 8956·
 2014 10 6565.
 2014 11 8771.
 2014 12 6441.
 2015 01  1072·
 2015 02  4943.
 2015 03  4153·
 2015 04  3283.
 2015 05  3368·
 2015 06  1967·
 2015 07  5967.
 2015 08  6461·
 2015 09  6470·
 2015 10  1378.
 2015 11  1164.
 2015 12  6053·
 2016 01 3571.
 2016 02 9352.
 2016 03 9180·
 2016 04 4684·
 2016 05 469·
 2016 06 4782.
 2016 07 1871·


 2016 08 7258.
 2016 09 5158·
 2016 10 8973·
 2016 11 3751.
 2016 12 1446·
 2017 01  8375.
 2017 02  5650·
 2017 03  1677·
 2017 04  7181.
 2017 05  3285·
 2017 06  1188·
 2017 07  4972·
 2017 08  7082·
 2017 09  5464.
 2017 10  4191·
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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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