Chart 2
Value of building permits for residential and non-residential sectors

billions of dollars 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 May 2013 2014 2015 2016 2017 May 2018 Residential, seasonally adjustedResidential, seasonally adjusted Residential, trend-cycleResidential, trend-cycle Non-residential, seasonally adjustedNon-residential, seasonally adjusted Non-residential, trend-cycleNon-residential, trend-cycle
Note(s):
The higher variability associated with the trend-cycle estimates is indicated with a dotted line on the chart for the current reference month and the three previous months. For more information, see note to readers.
Source(s):

Chart description


This is a line chart.

Value of building permits for residential and non-residential sectors, billions of dollars
  Residential, seasonally adjusted Residential, trend-cycle Non-residential, seasonally adjusted Non-residential, trend-cycle
May 2013 4.376 4.090 2.612 2.679
June 2013 3.921 4.095 2.513 2.693
July 2013 3.905 4.052 3.131 2.716
August 2013 3.993 4.055 2.501 2.717
September 2013 4.070 4.092 2.751 2.751
October 2013 4.257 4.113 2.706 2.780
November 2013 4.152 4.139 2.824 2.815
December 2013 3.875 4.148 2.773 2.810
January 2014 4.638 4.131 3.022 2.805
February 2014 4.063 4.094 3.002 2.826
March 2014 3.852 4.066 2.626 2.801
April 2014 3.827 4.061 2.417 2.813
May 2014 4.149 4.123 2.775 2.870
June 2014 4.246 4.184 3.340 2.911
July 2014 4.502 4.252 3.237 2.916
August 2014 4.128 4.310 2.475 2.891
September 2014 4.407 4.343 2.995 2.845
October 2014 4.290 4.348 2.747 2.762
November 2014 4.459 4.361 2.583 2.690
December 2014 4.432 4.349 2.722 2.629
January 2015 4.123 4.345 2.693 2.630
February 2015 4.344 4.379 2.323 2.638
March 2015 4.538 4.416 2.630 2.642
April 2015 4.591 4.454 2.911 2.680
May 2015 4.123 4.496 2.776 2.701
June 2015 4.650 4.541 2.742 2.694
July 2015 4.763 4.565 2.382 2.687
August 2015 4.671 4.555 2.730 2.675
September 2015 4.251 4.478 2.813 2.657
October 2015 4.698 4.414 2.740 2.644
November 2015 4.050 4.342 2.481 2.625
December 2015 4.548 4.293 2.569 2.644
January 2016 3.983 4.261 2.445 2.643
February 2016 4.107 4.288 3.048 2.629
March 2016 4.398 4.318 2.496 2.623
April 2016 4.708 4.336 2.703 2.612
May 2016 4.411 4.382 2.559 2.569
June 2016 4.212 4.450 2.238 2.559
July 2016 4.274 4.564 2.584 2.539
August 2016 4.601 4.713 2.985 2.527
September 2016 4.859 4.875 2.242 2.522
October 2016 5.673 5.018 2.407 2.506
November 2016 5.158 5.054 2.654 2.521
December 2016 4.756 5.030 2.401 2.545
January 2017 4.917 4.985 2.676 2.587
February 2017 5.094 4.939 2.573 2.674
March 2017 4.815 4.921 2.767 2.783
April 2017 4.476 4.929 2.856 2.868
May 2017 5.320 5.005 2.959 2.976
June 2017 5.271 5.047 3.302 3.058
July 2017 5.043 5.034 3.130 3.094
August 2017 5.010 5.008 2.799 3.123
September 2017 4.836 4.994 3.267 3.127
October 2017 5.037 4.998 3.361 3.115
November 2017 4.845 4.998 2.933 3.077
December 2017 5.028 5.072 2.942 3.011
January 2018 5.296 5.156 3.088 2.966
February 2018 5.222 5.218 2.861 2.917
March 2018 5.358 5.274 2.901 2.854
April 2018 5.122 5.303 2.748 2.812
May 2018 5.515 5.351 2.727 2.794
Note(s):
The higher variability associated with the trend-cycle estimates is indicated with a dotted line on the chart for the current reference month and the three previous months. For more information, see note to readers.
Source(s):
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