New Housing Price Index (NHPI)
Detailed information for April 2017
The New Housing Price Index (NHPI) is a monthly series that measures changes over time in the contractors' selling prices of new residential houses, where detailed specifications pertaining to each house remain the same between two consecutive periods.
The NHPI covers the new housing part of the Residential Property Price Index (RPPI).
A detailed methodology for the RPPI is available in the Prices Analytical Series.
Data release - June 8, 2017
The New Housing Price Index (NHPI) is a monthly series that measures changes over time in the contractors' selling prices of new residential houses, where detailed specifications pertaining to each house remain the same between two consecutive months. The survey covers the following dwelling types: single homes, semi-detached homes and townhouses. 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 current value of the structure is also independently indexed and is presented as the house series.
The NHPI is used by economists, academics and the general public to monitor trends in this important component of the construction sector. Within Statistics Canada, components of these series are used in the calculation of some elements of the Consumer Price Index. In addition, the series are used by the Canada's System of Macroeconomic Accounts for deflating the value of the national housing stock. Due to the level of geographic detail provided and the sensitivity to changes in supply and demand, the NHPI series are of particular interest to the real estate industry for comparison with the resale market. The NHPI is also used by building contractors, market analysts interested in housing policy, suppliers and manufacturers of building products, insurance companies, federal government agencies such as the Canada Mortgage and Housing Corporation (CMHC), and provincial and municipal housing agencies responsible for housing policy.
Reference period: The time period for which the NHPI equals 100; currently this is December 2016.
Collection period: The collection process occurs over a ten-day period beginning on the 16th day of the reference month or the next business day if the 16th is not a business day.
- Construction price indexes
- Prices and price indexes
- Residential construction
Data sources and methodology
The target population for the NHPI consists of all models of new single, semi-detached and row houses constructed and listed for sale or sold in Canada.
The NHPI measures price change for house models that can be priced repeatedly and whose detailed specifications remain the same over time. Consequently, the observed population for the NHPI excludes custom built houses. In addition, the observed population is limited to houses constructed in 27 metropolitan areas. These metropolitan areas represent all provinces in Canada. In addition, these areas were assessed to have enough ongoing non-custom, new house construction and sales activity to support monthly pricing of comparable house models over time. This assessment was based on measures which included population growth, dwelling counts, issued building permits and housing starts.
The New Housing Price Report (NHPR) is an electronic questionnaire which collects information on the characteristics and contractors' selling prices for new single homes, semi-detached homes and row houses. It was designed by the Producer Prices Division in consultation with the Questionnaire Design Resource Centre, the Canadian Home Builders Association as well as with residential construction contractors. The questionnaire has been field-tested with potential respondents and their comments on the design and content have been considered.
Through discussion with the builders, representative house models are selected for monthly pricing. Initially, builders are asked to identify their three top selling house models. When these models are no longer sold, builders will be asked to select replacements which will be representative of their current construction portfolio.
Separate prices are collected for the total house, as well as the land and structure components. House prices include the provincial value added taxes on materials when applicable. However, value added taxes such as the federal goods and services tax, the Quebec sales tax and the harmonized sales tax are excluded.
In addition to pricing data and the reasons for price change, detailed information is collected which describes the characteristics of each selected house model (e.g. living area, lot specifications, etc.). This information is used to determine the dollar value of changes in the characteristics or "quality" of the model for which prices have been collected. The reported model prices are adjusted for quality changes so that the NHPI will measure "pure" price change over time.
This is a sample survey with a cross-sectional design and a longitudinal follow-up.
The NHPI has a multi-stage sample design. Cut-off and judgement based sampling approaches are used to select representative units into the sample.
Responding to this survey is mandatory.
Data are collected directly from survey respondents and derived from other Statistics Canada surveys.
All new builders in sample are contacted to confirm that they are in-scope for the survey, to identify the appropriate respondent, to collect contact information for the respondent, and to request permission to pre-fill information in their electronic questionnaire. This contact is done by computer-assisted telephone interview.
Computer-assisted telephone interviews are also used to collect the first month of data from new respondents. During this initial interview, respondents are asked to identify the residential development and house models for which they will report. This information is pre-filled in the electronic questionnaires that respondents will be sent for self-completion for all subsequent monthly collections.
Respondents receive pre-filled electronic questionnaires for self-completion. Telephone follow-up is done for failed edits and non-response.
View the Questionnaire(s) and reporting guide(s) .
Error detection is an integral part of both collection and data processing activities. Automated edits are applied to data records during collection to identify missing data, as well as capture and report errors.
During data processing, subject matter specialists review the collected data to identify and resolve errors, inconsistencies and outliers. This review focuses on the behaviour of the reported price changes, both to validate them directly and to ensure they are representative of new price movements generally.
In addition, reported model prices are adjusted for changes in the quality of both the structure and land. These adjustments help ensure that the NHPI provides a measure of "pure" price change based on comparisons of prices for identical house models in consecutive periods.
Imputation is used to determine plausible values for missing data. Two methods are used to impute missing prices for the NHPI. In the case where prices are missing due to late reporting, the previous month's reported price is imputed or carried forward for use in the current period.
A second method is used to impute prices for the month prior to the one when new house models are priced for the first time. Only house models with prices in two consecutive periods are used in calculating indexes which measure price change over time. This imputation allows new house models to be used in index calculations sooner.
To impute a price for a new model for the previous month, the new model is matched to a discontinued model with characteristics that are as similar as possible. Ideally, these two models have been reported by the same builder. The final price reported for the discontinued model is adjusted for any remaining characteristics or quality differences between this model and the new one using statistical (hedonic) methods. In this way, the prices for the new model and the discontinued model can be compared to measure price change.
The price data, reported for all models from the sample of builders, are assigned equal weight in the calculation of the contractors' selling price index for each metropolitan area.
Building completions data provide the weights used to aggregate indexes for the metropolitan areas up to the regional, provincial and national levels. Separate weights are estimated annually for the house component, the land component and the total for each metropolitan area. Ratios of house to total and land to total prices are calculated for each metropolitan area based on collected NHPI data. These ratios are used to estimate the shares of building completion values attributable to the house and land components by metropolitan area. Price-adjusted three-year moving averages of the resulting house and land values are used to weight the house and the land price indexes respectively. The total weight (house and land), is then calculated using all this information.
SOURCE OF WEIGHT DATA
The weights used to aggregate indexes for the metropolitan areas up to the regional, provincial and national levels are based on annual estimates of the value of housing completions for new housing (excluding apartments) calculated by Statistics Canada's Investment, Science and Technology Division.
WEIGHT REFERENCE YEAR
The weights used in calculating the 2017 NHPI are based on building completions values for reference years 2014, 2015 and 2016.
WEIGHT UPDATE FREQUENCY
The NHPI weights are updated annually and are introduced with the release of the January reference month indexes.
The NHPI encompasses both elemental and aggregate indexes. The elemental indexes are calculated using the Jevons formula (equally weighted geometric mean) combining house model prices across builders in each CMA. The aggregate indexes are calculated using the Lowe formula (a fixed weighted Laspeyres), combining weighted city indexes to regional, provincial and national totals for each of the house, land and total selling price index series.
With the introduction of a new basket, historical estimates are linked to the new basket by maintaining the same historical period-to-period changes. This is done by calculating a link factor for each index series as the ratio of the new index series (December 2016=100) in the overlap period to the old index series (2007=100). This link factor is then applied to the old index series to bring it up or down to the level of the new index series.
The overlap period for NHPI is currently December 2016.
Prior to publication, the NHPI is analyzed for comparability with historical trends, as well as for coherence with results from related economic indicators, known current events and information from other external price index sources.
Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.
Collected data are converted to price indexes and data are released as such, so that it is not possible to identify the suppliers of raw prices.
Revisions and seasonal adjustment
The NHPI is not subject to revision and is not seasonally adjusted.
The statistical accuracy of this index depends on price and value data. Price data are obtained from a sample survey. The accuracy of the value data depends on the quality of the building completion data gathered by the Investment, Science and Technology Division of Statistics Canada. Both data sources are subject to their own errors.
Though the NHPI uses a sample survey methodology to obtain the necessary information, confidence intervals are not currently estimated, due to the longitudinal nature of price index series.
Indexes for all levels of aggregation are considered to be statistically reliable.