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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 Oct. 2009 2010 2011 2012 2013 Oct. 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
October 2009 3.561 3.559 2.588 2.157
November 2009 3.907 3.699 2.162 2.103
December 2009 3.935 3.779 2.109 2.065
January 2010 3.886 3.814 1.721 2.064
February 2010 3.631 3.817 1.886 2.127
March 2010 4.074 3.802 2.206 2.258
April 2010 3.762 3.774 2.838 2.425
May 2010 3.653 3.733 2.481 2.580
June 2010 3.563 3.685 3.031 2.679
July 2010 3.335 3.634 2.796 2.709
August 2010 3.464 3.591 2.169 2.675
September 2010 3.750 3.557 2.771 2.590
October 2010 3.423 3.531 2.717 2.482
November 2010 3.104 3.500 2.429 2.370
December 2010 3.826 3.463 1.931 2.289
January 2011 3.622 3.434 1.697 2.263
February 2011 2.967 3.429 2.847 2.312
March 2011 4.014 3.460 2.820 2.427
April 2011 3.474 3.520 1.783 2.562
May 2011 3.694 3.594 2.934 2.669
June 2011 3.752 3.662 2.840 2.705
July 2011 3.776 3.713 2.713 2.673
August 2011 3.628 3.757 2.443 2.595
September 2011 3.545 3.800 2.064 2.499
October 2011 3.603 3.848 2.649 2.416
November 2011 3.894 3.888 2.330 2.362
December 2011 4.510 3.921 2.366 2.349
January 2012 4.126 3.952 1.872 2.375
February 2012 3.950 3.993 2.579 2.441
March 2012 4.016 4.055 2.973 2.541
April 2012 3.843 4.133 2.820 2.647
May 2012 4.150 4.208 2.811 2.732
June 2012 4.476 4.258 2.564 2.776
July 2012 4.258 4.262 2.522 2.788
August 2012 4.258 4.216 3.288 2.772
September 2012 4.282 4.128 2.325 2.730
October 2012 3.994 4.021 3.526 2.665
November 2012 3.778 3.911 2.657 2.586
December 2012 3.277 3.822 2.507 2.515
January 2013 3.764 3.773 1.966 2.473
February 2013 3.596 3.778 2.326 2.488
March 2013 3.639 3.835 2.696 2.570
April 2013 4.349 3.928 2.625 2.691
May 2013 4.542 4.031 2.877 2.811
June 2013 3.982 4.120 2.671 2.889
July 2013 4.152 4.177 3.935 2.914
August 2013 3.980 4.203 2.514 2.889
September 2013 4.198 4.194 2.571 2.821
October 2013 4.450 4.158 2.806 2.725
November 2013 4.113 4.089 2.651 2.617
December 2013 3.644 4.001 2.793 2.527
January 2014 4.593 3.917 2.362 2.475
February 2014 3.636 3.868 2.536 2.480
March 2014 3.673 3.874 2.301 2.552
April 2014 3.777 3.935 2.328 2.675
May 2014 4.172 4.035 2.871 2.823
June 2014 4.207 4.150 3.990 2.955
July 2014 4.934 4.253 4.212 3.056
August 2014 4.170 4.335 2.480 3.113
September 2014 4.480 4.391 3.000 3.119
October 2014 4.461 4.425 3.073 3.079
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: