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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 Feb. 2010 2011 2012 2013 2014 Feb. 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
February 2010 3.631 3.827 1.886 2.122
March 2010 4.074 3.803 2.206 2.257
April 2010 3.762 3.764 2.838 2.423
May 2010 3.653 3.718 2.481 2.577
June 2010 3.563 3.668 3.031 2.677
July 2010 3.335 3.620 2.796 2.710
August 2010 3.464 3.581 2.169 2.678
September 2010 3.750 3.554 2.771 2.594
October 2010 3.423 3.537 2.717 2.484
November 2010 3.104 3.515 2.429 2.371
December 2010 3.826 3.485 1.931 2.288
January 2011 3.622 3.458 1.697 2.262
February 2011 2.967 3.450 2.847 2.311
March 2011 4.014 3.474 2.820 2.424
April 2011 3.474 3.528 1.783 2.557
May 2011 3.694 3.597 2.934 2.661
June 2011 3.752 3.662 2.840 2.697
July 2011 3.776 3.715 2.713 2.667
August 2011 3.628 3.766 2.443 2.594
September 2011 3.545 3.822 2.064 2.503
October 2011 3.603 3.884 2.649 2.422
November 2011 3.894 3.940 2.330 2.367
December 2011 4.510 3.982 2.366 2.354
January 2012 4.166 4.011 1.889 2.383
February 2012 4.043 4.040 2.597 2.451
March 2012 4.056 4.081 2.988 2.550
April 2012 3.864 4.137 2.895 2.653
May 2012 4.132 4.195 2.766 2.732
June 2012 4.475 4.234 2.553 2.773
July 2012 4.256 4.235 2.462 2.785
August 2012 4.216 4.194 3.319 2.771
September 2012 4.215 4.120 2.339 2.731
October 2012 3.933 4.030 3.489 2.666
November 2012 3.758 3.940 2.686 2.586
December 2012 3.293 3.866 2.459 2.516
January 2013 3.807 3.823 1.965 2.479
February 2013 3.713 3.824 2.349 2.497
March 2013 3.699 3.869 2.708 2.578
April 2013 4.377 3.944 2.701 2.692
May 2013 4.504 4.027 2.804 2.803
June 2013 3.985 4.095 2.645 2.873
July 2013 4.148 4.135 3.802 2.897
August 2013 3.953 4.147 2.549 2.882
September 2013 4.095 4.139 2.605 2.829
October 2013 4.352 4.118 2.820 2.746
November 2013 4.086 4.082 2.691 2.650
December 2013 3.690 4.031 2.792 2.572
January 2014 4.676 3.977 2.417 2.533
February 2014 3.829 3.937 2.609 2.549
March 2014 3.719 3.931 2.358 2.628
April 2014 3.791 3.968 2.399 2.744
May 2014 4.078 4.040 2.869 2.868
June 2014 4.228 4.127 3.821 2.957
July 2014 4.947 4.212 3.999 2.996
August 2014 4.066 4.279 2.492 2.975
September 2014 4.457 4.323 3.052 2.886
October 2014 4.436 4.343 3.024 2.741
November 2014 4.350 4.334 2.279 2.568
December 2014 4.414 4.298 2.621 2.413
January 2015 4.056 4.244 2.112 2.310
February 2015 4.116 4.190 1.998 2.274
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: