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Chart 2 
Residential and non-residential sectors

billions of dollars 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 Nov. 2009 2010 2011 2012 2013 Nov. 2014 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. See note to readers.
Source(s):
CANSIM table 026-0010.

Chart description

The title of the graph is "Residential and non-residential sectors."
This is a line chart.
The vertical axis is "billions of dollars."
The title of series 1 is "Residential, seasonally adjusted."
The title of series 2 is "Residential, trend cycle."
The title of series 3 is "Non-residential, seasonally adjusted."
The title of series 4 is "Non-residential, trend cycle."

Residential and non-residential sectors, billions of dollars
  Residential, seasonally adjusted Residential, trend cycle Non-residential, seasonally adjusted Non-residential, trend cycle
November 2009 3.907 3.699 2.162 2.103
December 2009 3.935 3.774 2.109 2.061
January 2010 3.886 3.812 1.721 2.062
February 2010 3.631 3.817 1.886 2.126
March 2010 4.074 3.802 2.206 2.258
April 2010 3.762 3.773 2.838 2.425
May 2010 3.653 3.732 2.481 2.578
June 2010 3.563 3.683 3.031 2.676
July 2010 3.335 3.631 2.796 2.706
August 2010 3.464 3.588 2.169 2.671
September 2010 3.750 3.554 2.771 2.587
October 2010 3.423 3.530 2.717 2.479
November 2010 3.104 3.501 2.429 2.370
December 2010 3.826 3.467 1.931 2.291
January 2011 3.622 3.438 1.697 2.268
February 2011 2.967 3.433 2.847 2.321
March 2011 4.014 3.462 2.820 2.439
April 2011 3.474 3.521 1.783 2.575
May 2011 3.694 3.594 2.934 2.681
June 2011 3.752 3.661 2.840 2.714
July 2011 3.776 3.712 2.713 2.677
August 2011 3.628 3.756 2.443 2.594
September 2011 3.545 3.800 2.064 2.496
October 2011 3.603 3.848 2.649 2.414
November 2011 3.894 3.889 2.330 2.363
December 2011 4.510 3.922 2.366 2.356
January 2012 4.126 3.952 1.872 2.385
February 2012 3.950 3.993 2.579 2.451
March 2012 4.016 4.054 2.973 2.549
April 2012 3.843 4.132 2.820 2.652
May 2012 4.150 4.207 2.811 2.732
June 2012 4.476 4.257 2.564 2.773
July 2012 4.258 4.258 2.522 2.786
August 2012 4.258 4.210 3.288 2.772
September 2012 4.282 4.121 2.325 2.732
October 2012 3.994 4.015 3.526 2.667
November 2012 3.778 3.908 2.657 2.586
December 2012 3.277 3.821 2.507 2.512
January 2013 3.764 3.774 1.966 2.467
February 2013 3.596 3.781 2.326 2.480
March 2013 3.639 3.838 2.696 2.560
April 2013 4.349 3.929 2.625 2.681
May 2013 4.542 4.031 2.877 2.801
June 2013 3.982 4.120 2.671 2.879
July 2013 4.152 4.179 3.935 2.905
August 2013 3.980 4.206 2.514 2.880
September 2013 4.198 4.200 2.571 2.816
October 2013 4.450 4.164 2.806 2.727
November 2013 4.113 4.096 2.651 2.628
December 2013 3.644 4.007 2.793 2.547
January 2014 4.593 3.922 2.362 2.500
February 2014 3.636 3.873 2.536 2.507
March 2014 3.673 3.879 2.301 2.579
April 2014 3.777 3.941 2.328 2.694
May 2014 4.172 4.041 2.871 2.823
June 2014 4.207 4.152 3.990 2.922
July 2014 4.934 4.247 4.212 2.983
August 2014 4.170 4.316 2.480 2.998
September 2014 4.480 4.355 3.000 2.971
October 2014 4.494 4.374 3.144 2.915
November 2014 4.357 4.372 2.228 2.848
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. See note to readers.
Source(s):
CANSIM table 026-0010.
Date modified: