|Unit||Index Dec2016=100, SA|
|Housing Starts||Oct 2019||201.97||221.14||Ths. #, SAAR||Monthly|
|Building Completions||2019 Q3||51,865||48,526||#, NSA||Quarterly|
|Building Permits||Sep 2019||8,339,580||8,920,465||Ths. CAD, SA||Monthly|
|House Price Index||Sep 2019||103.08||102.86||Index Dec2016=100, SA||Monthly|
|House Price Index for New Homes||Sep 2019||103.2||103||Index Dec2016=100, NSA||Monthly|
|House Price Value for Existing Homes||Sep 2019||227.72||227.51||Index Jun 2005=100, NSA||Monthly|
|Residential Building Permits||Sep 2019||19,087||20,389||#, SA||Monthly|
The New Housing Price Index (NHPI) measures changes over time in the contractors' selling prices of new residential houses. The survey also collects contractors' estimates of the current value (evaluated at market price) of the land. These estimates are independently indexed to provide the published series for land. The residual, (total selling price less land value), which mainly relates to the current cost of the structure is also independently indexed and is presented as the estimated house series.
For the NHPI, the universe consists of builders in 21 metropolitan areas who mainly build single unit houses in such volume or in such a fashion that they can report selling prices for comparable transactions.
This is a sample survey with a longitudinal design. The sample of builders for each metropolitan area is determined through the use of local market intelligence and verified against relevant building permit data. Where possible, prices are collected from builders who develop entire subdivisions, usually on large tracts of land. However, builders producing fewer units are frequently included where comparable models can be priced over a period of time. The sample for a given builder is structured in such a way that the price changes of the sample are representative of the price changes of the builder's total sales of housing units.
Responding to this survey is mandatory. Data are collected directly from survey respondents and derived from other surveys. The collection of house model and price information is conducted through the use of personal interviews carried out by interviewers who are based in the regional offices of Statistics Canada. Face-to-face interviews are conducted quarterly while telephone interviews are used in the intervening months.
Through discussion with the builders, models are selected and tracked which are identified as representative of the current construction portfolio of each builder. In addition to pricing data, detailed information is obtained describing physical and non-physical characteristics of each model home. This is considered to be an important data source which assists the assessment of quality changes in terms of dollars and cents. In the new housing price survey reported prices are adjusted for changes in quality of structure and land. This is important because the NHPI attempts to measure changes in price over time of identical houses in consecutive periods. Most often the estimate of the value of the quality change provided by the respondent is used to adjust the reported price to an estimate of "pure" price, unaffected by quality change.
Data is final when initially published and not generally subject to revision.
Data is subject to ND datapoint where confidentiality laws prohibit the source from releasing data.
Previously, the geo code for Toronto and Oshawa, Ontario was ICAN_MTRN. It has been recoded to ICAN_TRO to be more in line with the geographic definition presented by the source.
The HPI for the Ottawa-Gatnieau CMA has been calculated using the weighted average of its component series beginning in the year 2017.
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