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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 Mar. 2010 2011 2012 2013 2014 Mar. 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
March 2010 4.074 3.803 2.206 2.257
April 2010 3.762 3.762 2.838 2.419
May 2010 3.653 3.719 2.481 2.573
June 2010 3.563 3.672 3.031 2.674
July 2010 3.335 3.624 2.796 2.707
August 2010 3.464 3.585 2.169 2.676
September 2010 3.750 3.557 2.771 2.593
October 2010 3.423 3.539 2.717 2.485
November 2010 3.104 3.515 2.429 2.373
December 2010 3.826 3.481 1.931 2.290
January 2011 3.622 3.449 1.697 2.263
February 2011 2.967 3.438 2.847 2.310
March 2011 4.014 3.461 2.820 2.422
April 2011 3.474 3.517 1.783 2.554
May 2011 3.694 3.590 2.934 2.659
June 2011 3.752 3.660 2.840 2.697
July 2011 3.776 3.717 2.713 2.669
August 2011 3.628 3.769 2.443 2.599
September 2011 3.545 3.822 2.064 2.510
October 2011 3.603 3.881 2.649 2.428
November 2011 3.894 3.933 2.330 2.373
December 2011 4.510 3.973 2.366 2.358
January 2012 4.166 4.001 1.889 2.384
February 2012 4.043 4.032 2.597 2.447
March 2012 4.056 4.077 2.988 2.544
April 2012 3.864 4.138 2.895 2.647
May 2012 4.132 4.199 2.766 2.728
June 2012 4.475 4.239 2.553 2.773
July 2012 4.256 4.241 2.462 2.789
August 2012 4.216 4.199 3.319 2.779
September 2012 4.215 4.122 2.339 2.739
October 2012 3.933 4.029 3.489 2.673
November 2012 3.758 3.934 2.686 2.591
December 2012 3.293 3.854 2.459 2.518
January 2013 3.807 3.808 1.965 2.478
February 2013 3.713 3.809 2.349 2.496
March 2013 3.699 3.859 2.708 2.576
April 2013 4.377 3.941 2.701 2.691
May 2013 4.504 4.032 2.804 2.801
June 2013 3.985 4.105 2.645 2.871
July 2013 4.148 4.147 3.802 2.895
August 2013 3.953 4.160 2.549 2.880
September 2013 4.095 4.150 2.605 2.828
October 2013 4.352 4.126 2.820 2.747
November 2013 4.086 4.082 2.691 2.653
December 2013 3.690 4.022 2.792 2.573
January 2014 4.676 3.958 2.417 2.531
February 2014 3.829 3.912 2.609 2.543
March 2014 3.719 3.907 2.358 2.617
April 2014 3.791 3.948 2.399 2.732
May 2014 4.078 4.028 2.869 2.857
June 2014 4.228 4.124 3.821 2.950
July 2014 4.947 4.212 3.999 2.995
August 2014 4.066 4.280 2.492 2.978
September 2014 4.457 4.323 3.052 2.891
October 2014 4.436 4.345 3.024 2.747
November 2014 4.350 4.341 2.279 2.577
December 2014 4.414 4.320 2.621 2.425
January 2015 4.056 4.294 2.112 2.325
February 2015 4.146 4.279 2.006 2.290
March 2015 4.418 4.286 2.449 2.314
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: