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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 1548·
 2001 01  8897·
 2001 02  3274.
 2001 03  3752·
 2001 04  1799·
 2001 05  8973·
 2001 06  7185.
 2001 07  1287·
 2001 08  4158·
 2001 09  4495.
 2001 10  6873·
 2001 11  4372·
 2001 12  3835.
 2002 01 3693.
 2002 02 3451·
 2002 03 7258·
 2002 04 8397.
 2002 05 7183.
 2002 06 981·
 2002 07 7099·
 2002 08 7869·
 2002 09 8072·
 2002 10 5466·
 2002 11 3061·
 2002 12 4652.
 2003 01  2194.
 2003 02  5870.
 2003 03  7271·
 2003 04  39116·
 2003 05  74108.
 2003 06  3490.
 2003 07  39102·
 2003 08  3279.
 2003 09  4774.
 2003 10  1981·
 2003 11  155·
 2003 12  2547·
 2004 01 7280·
 2004 02 7652·
 2004 03 5263.
 2004 04 44100·
 2004 05 4134.
 2004 06 94119·
 2004 07 11106.
 2004 08 3971.
 2004 09 2691.
 2004 10 85103·
 2004 11 2261·
 2004 12 8567·
 2005 01  43101·
 2005 02  8783·
 2005 03  5466·
 2005 04  8392.
 2005 05  89108.
 2005 06  6388·
 2005 07  286.
 2005 08  5973·
 2005 09  1984·
 2005 10  1104.
 2005 11  8573·
 2005 12  6256.
 2006 01 1581·
 2006 02 1383.
 2006 03 4679.
 2006 04 69105.
 2006 05 8490·
 2006 06 39111·
 2006 07 55109·
 2006 08 7883·
 2006 09 5782.
 2006 10 39105·
 2006 11 683.
 2006 12 1762.
 2007 01  9173.
 2007 02  372.
 2007 03  18100.
 2007 04  3587.
 2007 05  67121.
 2007 06  4483.
 2007 07  3689·
 2007 08  784·
 2007 09  9393.
 2007 10  9896·
 2007 11  2871.
 2007 12  3563·
 2008 01 082·
 2008 02 3069·
 2008 03 8867.
 2008 04 4396.
 2008 05 4494·
 2008 06 2798·
 2008 07 3781·
 2008 08 8177·
 2008 09 774·
 2008 10 175.
 2008 11 1746.
 2008 12 2643·
 2009 01  9764·
 2009 02  9246.
 2009 03  9857·
 2009 04  7875.
 2009 05  4364·
 2009 06  6185.
 2009 07  7588.
 2009 08  6186.
 2009 09  461·
 2009 10  9679·
 2009 11  6539.
 2009 12  2758.
 2010 01 6164·
 2010 02 1146.
 2010 03 1440·
 2010 04 5077.
 2010 05 2072.
 2010 06 4374.
 2010 07 9165.
 2010 08 3257·
 2010 09 1342.
 2010 10 5652.
 2010 11 8941.
 2010 12 9753·
 2011 01  9661·
 2011 02  3641.
 2011 03  2857·
 2011 04  9659.
 2011 05  5253·
 2011 06  9875.
 2011 07  5356.
 2011 08  572·
 2011 09  8748.
 2011 10  7880·
 2011 11  3150·
 2011 12  2336·
 2012 01 3255·
 2012 02 4046.
 2012 03 5858·
 2012 04 7681·
 2012 05 4572·
 2012 06 7274·
 2012 07 5268.
 2012 08 1572·
 2012 09 671.
 2012 10 8670·
 2012 11 5757.
 2012 12 1454·
 2013 01  2376·
 2013 02  2164·
 2013 03  4358·
 2013 04  7569·
 2013 05  2775·
 2013 06  3980.
 2013 07  475.
 2013 08  2271.
 2013 09  7582.
 2013 10  2977·
 2013 11  6055.
 2013 12  745·
 2014 01 4863.
 2014 02 246.
 2014 03 5371·
 2014 04 487·
 2014 05 5482.
 2014 06 9874.
 2014 07 5367·
 2014 08 1482·
 2014 09 2355.
 2014 10 7866.
 2014 11 5573.
 2014 12 6240.
 2015 01  1275.
 2015 02  3143·
 2015 03  7752·
 2015 04  9884.
 2015 05  468·
 2015 06  7066·
 2015 07  6466.
 2015 08  9960.
 2015 09  467.
 2015 10  3277.
 2015 11  8566.
 2015 12  6452·
 2016 01 4474.
 2016 02 8152·
 2016 03 3479.
 2016 04 1890.
 2016 05 8172.
 2016 06 483·
 2016 07 3072.
 2016 08 1354.
 2016 09 9755·
 2016 10 1569.
 2016 11 1753.
 2016 12 2445.


 2017 01  9878·
 2017 02  5048·
 2017 03  6576.
 2017 04  5088·
 2017 05  1586.
 2017 06  7490.
 2017 07  6769.
 2017 08  1877·
 2017 09  761·
 2017 10  7384·
 2017 11  4357·
 2017 12  7742·
 2018 01 5376·
 2018 02 6256.
 2018 03 3668·
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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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