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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 Jan. 2010 2011 2012 2013 2014 Jan. 2015 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
January 2010 3.886 3.828 1.721 2.056
February 2010 3.631 3.827 1.886 2.122
March 2010 4.074 3.805 2.206 2.255
April 2010 3.762 3.770 2.838 2.422
May 2010 3.653 3.725 2.481 2.575
June 2010 3.563 3.675 3.031 2.674
July 2010 3.335 3.623 2.796 2.704
August 2010 3.464 3.582 2.169 2.671
September 2010 3.750 3.552 2.771 2.587
October 2010 3.423 3.533 2.717 2.479
November 2010 3.104 3.510 2.429 2.370
December 2010 3.826 3.480 1.931 2.292
January 2011 3.622 3.453 1.697 2.269
February 2011 2.967 3.447 2.847 2.318
March 2011 4.014 3.473 2.820 2.430
April 2011 3.474 3.528 1.783 2.561
May 2011 3.694 3.598 2.934 2.663
June 2011 3.752 3.663 2.840 2.697
July 2011 3.776 3.713 2.713 2.665
August 2011 3.628 3.758 2.443 2.590
September 2011 3.545 3.808 2.064 2.498
October 2011 3.603 3.865 2.649 2.419
November 2011 3.894 3.917 2.330 2.371
December 2011 4.510 3.959 2.366 2.365
January 2012 4.166 4.013 1.889 2.385
February 2012 4.043 4.042 2.597 2.452
March 2012 4.056 4.084 2.988 2.549
April 2012 3.864 4.140 2.895 2.650
May 2012 4.132 4.197 2.766 2.729
June 2012 4.475 4.234 2.553 2.772
July 2012 4.256 4.233 2.462 2.786
August 2012 4.216 4.190 3.319 2.775
September 2012 4.215 4.114 2.339 2.734
October 2012 3.933 4.025 3.489 2.666
November 2012 3.758 3.936 2.686 2.584
December 2012 3.293 3.863 2.459 2.511
January 2013 3.807 3.822 1.965 2.473
February 2013 3.713 3.824 2.349 2.491
March 2013 3.699 3.869 2.708 2.574
April 2013 4.377 3.945 2.701 2.690
May 2013 4.504 4.029 2.804 2.804
June 2013 3.985 4.097 2.645 2.878
July 2013 4.148 4.136 3.802 2.907
August 2013 3.953 4.147 2.549 2.893
September 2013 4.095 4.138 2.605 2.840
October 2013 4.352 4.117 2.820 2.756
November 2013 4.086 4.081 2.691 2.658
December 2013 3.690 4.030 2.792 2.577
January 2014 4.676 3.975 2.417 2.534
February 2014 3.829 3.935 2.609 2.546
March 2014 3.719 3.929 2.358 2.619
April 2014 3.791 3.965 2.399 2.732
May 2014 4.078 4.037 2.869 2.855
June 2014 4.228 4.124 3.821 2.947
July 2014 4.947 4.207 3.999 2.991
August 2014 4.066 4.275 2.492 2.977
September 2014 4.457 4.320 3.052 2.899
October 2014 4.436 4.342 3.024 2.774
November 2014 4.350 4.337 2.279 2.631
December 2014 4.414 4.307 2.621 2.510
January 2015 4.106 4.263 2.024 2.439
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: