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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 4848·
 2001 01  1597.
 2001 02  4474.
 2001 03  252.
 2001 04  7799.
 2001 05  6273.
 2001 06  4985.
 2001 07  6187·
 2001 08  458·
 2001 09  3995.
 2001 10  8573.
 2001 11  5172.
 2001 12  7935.
 2002 01 2793.
 2002 02 6751.
 2002 03 1558·
 2002 04 7797.
 2002 05 3383.
 2002 06 3281·
 2002 07 2199.
 2002 08 9969·
 2002 09 8972·
 2002 10 4266·
 2002 11 6561.
 2002 12 7052·
 2003 01  5194.
 2003 02  8770.
 2003 03  6671.
 2003 04  41116.
 2003 05  1108·
 2003 06  7790.
 2003 07  67102·
 2003 08  8679·
 2003 09  4674.
 2003 10  5381.
 2003 11  3855.
 2003 12  747·
 2004 01 1680.
 2004 02 7552·
 2004 03 7363·
 2004 04 29100.
 2004 05 70134·
 2004 06 34119.
 2004 07 91106·
 2004 08 171·
 2004 09 8891.
 2004 10 40103·
 2004 11 3661.
 2004 12 167.
 2005 01  78101.
 2005 02  3283.
 2005 03  7766·
 2005 04  2792·
 2005 05  70108·
 2005 06  7388·
 2005 07  986·
 2005 08  573·
 2005 09  2184.
 2005 10  51104·
 2005 11  5173.
 2005 12  8656·
 2006 01 1481·
 2006 02 7983·
 2006 03 4679.
 2006 04 45105.
 2006 05 5490.
 2006 06 95111·
 2006 07 64109·
 2006 08 8383.
 2006 09 7382.
 2006 10 60105.
 2006 11 9983·
 2006 12 2462.
 2007 01  2973.
 2007 02  6572·
 2007 03  70100·
 2007 04  2087.
 2007 05  2121·
 2007 06  2183.
 2007 07  2289.
 2007 08  4584·
 2007 09  9993.
 2007 10  6596.
 2007 11  2371.
 2007 12  063·
 2008 01 5282·
 2008 02 6269·
 2008 03 6767.
 2008 04 1196·
 2008 05 1894.
 2008 06 9998.
 2008 07 7581.
 2008 08 2777.
 2008 09 7874·
 2008 10 8975·
 2008 11 8946·
 2008 12 2543.
 2009 01  3964.
 2009 02  7046.
 2009 03  7957·
 2009 04  475.
 2009 05  3264·
 2009 06  485·
 2009 07  3988·
 2009 08  9086·
 2009 09  1461.
 2009 10  7979.
 2009 11  8939.
 2009 12  3458·
 2010 01 6764·
 2010 02 1046.
 2010 03 7240.
 2010 04 1077·
 2010 05 9872.
 2010 06 3274.
 2010 07 5865·
 2010 08 1957·
 2010 09 3742·
 2010 10 1052·
 2010 11 4041·
 2010 12 8753.
 2011 01  4261.
 2011 02  3041.
 2011 03  3857.
 2011 04  6459·
 2011 05  9453·
 2011 06  775.
 2011 07  9656·
 2011 08  2572.
 2011 09  148·
 2011 10  7880.
 2011 11  8450·
 2011 12  7136.
 2012 01 9355·
 2012 02 546.
 2012 03 9458.
 2012 04 2781·
 2012 05 2772.
 2012 06 7774·
 2012 07 4768.
 2012 08 4372.
 2012 09 8571·
 2012 10 770·
 2012 11 8757·
 2012 12 9554·
 2013 01  7377·
 2013 02  3263.
 2013 03  8257.
 2013 04  8467.
 2013 05  2476·
 2013 06  1582.
 2013 07  2777.
 2013 08  3472.
 2013 09  9383.
 2013 10  4578·
 2013 11  4153.
 2013 12  9645·
 2014 01 6362.
 2014 02 3345·
 2014 03 6871.
 2014 04 4684·
 2014 05 4083·
 2014 06 1976.
 2014 07 7868.
 2014 08 8383.
 2014 09 5556.
 2014 10 6565.
 2014 11 6471.
 2014 12 3441·
 2015 01  6672·
 2015 02  5843.
 2015 03  4553·
 2015 04  4883.
 2015 05  5468.
 2015 06  1267.
 2015 07  6667.
 2015 08  261.
 2015 09  2570·
 2015 10  6578·
 2015 11  9664·
 2015 12  9453.
 2016 01 1271·
 2016 02 7952.
 2016 03 2980·
 2016 04 5284·
 2016 05 7169.


 2016 06 4282.
 2016 07 8471.
 2016 08 2458·
 2016 09 8358·
 2016 10 6873.
 2016 11 551.
 2016 12 8846.
 2017 01  5575.
 2017 02  9450.
 2017 03  6177.
 2017 04  4281.
 2017 05  2085·
 2017 06  8388·
 2017 07  4772.
 2017 08  1284.
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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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