Chart 2
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 June 2011 2012 2013 2014 2015 June 2016 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):
CANSIM table 026-0010.

Chart description


This is a line chart.

Residential and non-residential sectors, billions of dollars
  Residential, seasonally adjusted Residential, trend-cycle Non-residential, seasonally adjusted Non-residential, trend-cycle
June 2011 3.653 3.634 2.545 2.493
July 2011 3.773 3.652 2.548 2.474
August 2011 3.653 3.665 2.451 2.430
September 2011 3.446 3.707 2.315 2.427
October 2011 3.642 3.814 2.328 2.432
November 2011 4.024 3.932 2.479 2.459
December 2011 4.269 4.034 2.562 2.534
January 2012 4.087 4.103 2.506 2.615
February 2012 4.366 4.138 2.638 2.667
March 2012 4.019 4.133 2.926 2.714
April 2012 3.924 4.128 2.969 2.715
May 2012 4.034 4.125 2.558 2.676
June 2012 4.353 4.154 2.494 2.666
July 2012 4.099 4.145 2.279 2.669
August 2012 4.219 4.100 3.181 2.707
September 2012 4.145 4.035 2.552 2.718
October 2012 3.949 3.928 2.953 2.741
November 2012 3.825 3.823 2.695 2.727
December 2012 3.389 3.782 2.693 2.714
January 2013 3.822 3.814 2.552 2.654
February 2013 3.875 3.870 2.663 2.634
March 2013 3.922 3.963 2.623 2.646
April 2013 4.209 4.027 2.700 2.645
May 2013 4.398 4.069 2.616 2.674
June 2013 3.838 4.084 2.484 2.699
July 2013 3.930 4.049 3.188 2.731
August 2013 4.030 4.065 2.507 2.734
September 2013 4.064 4.114 2.766 2.767
October 2013 4.307 4.131 2.710 2.785
November 2013 4.205 4.151 2.878 2.810
December 2013 3.810 4.155 2.743 2.793
January 2014 4.690 4.121 2.938 2.769
February 2014 4.023 4.072 2.935 2.783
March 2014 3.715 4.034 2.598 2.767
April 2014 3.918 4.022 2.440 2.788
May 2014 4.122 4.083 2.754 2.859
June 2014 4.120 4.147 3.212 2.921
July 2014 4.463 4.226 3.376 2.948
August 2014 4.096 4.311 2.586 2.930
September 2014 4.474 4.365 3.001 2.885
October 2014 4.378 4.384 2.774 2.794
November 2014 4.485 4.408 2.600 2.719
December 2014 4.508 4.391 2.727 2.654
January 2015 4.135 4.369 2.695 2.643
February 2015 4.318 4.381 2.387 2.656
March 2015 4.560 4.393 2.630 2.671
April 2015 4.530 4.414 2.968 2.713
May 2015 4.062 4.448 2.753 2.733
June 2015 4.595 4.496 2.758 2.730
July 2015 4.678 4.538 2.508 2.713
August 2015 4.672 4.551 2.827 2.677
September 2015 4.303 4.500 2.662 2.635
October 2015 4.779 4.470 2.686 2.608
November 2015 4.121 4.405 2.442 2.582
December 2015 4.597 4.349 2.474 2.597
January 2016 4.011 4.295 2.385 2.598
February 2016 4.213 4.291 3.162 2.604
March 2016 4.426 4.291 2.486 2.582
April 2016 4.386 4.288 2.534 2.548
May 2016 4.327 4.289 2.451 2.498
June 2016 4.109 4.257 2.298 2.453
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):
CANSIM table 026-0010.
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