Residential and Non-Residential Property Assessment Values at Current Prices

Detailed information for 2021





Record number:


Residential and non-residential property assessment values at current prices are primarily intended to meet data requirements from Finance Canada for Fiscal Arrangements, as part of the property tax base.

Data release - November 24, 2022 (Data on the residential and non-residential property assessment values at current prices for the provinces and territories for the taxation years from 2017 to 2021 are available upon request.)


Residential and non-residential property assessment values at current prices are primarily intended to meet data requirements from Finance Canada for Fiscal Arrangements, as part of the property tax base.

In producing the estimates, Statistics Canada has incorporated conceptual and methodological elements that are either stipulated by or are endorsed by Finance Canada. Therefore, it is important to note that the non-residential values produced do not represent the value of total non-residential properties in Canada and the Territories, as a number of exclusions were performed to better represent the property tax base and to avoid overlap with other sources of data used in Fiscal Arrangements. For example, non-residential values exclude values of schools, churches and hospitals, as well as values of properties that are subject to provincial or municipal payments in lieu of taxes. Agriculture, Machinery and Equipment and Personal properties are also excluded from the estimates.

The aggregate estimates include residential and non-residential property values which are adjusted to reflect common valuation base date and state date in order to enhance inter-provincial/territorial comparability.

- A base date is the reference date for the valuation of all properties using a market value standard.

- A state date is the reference date for the physical state of the stock of property to be valued.

Fiscal Arrangements requires that the residential and non-residential property values reflect a base date of July 1st of the year preceding the taxation year, and a state date of January 1st of the taxation year.


  • Construction
  • Non-residential building construction
  • Residential construction

Data sources and methodology

Target population

All residential and non-residential properties in Canada, includes all land and dwellings (or structures) classified for residential or non-residential use. Examples of residential properties are single-family, mobile, cottage, semi-detached, row house and apartment building. Examples of non-residential properties are office building, hotel, restaurant and factory.

Instrument design

Not applicable.


This survey is a census with a cross-sectional design.

This methodology type does not apply to this statistical program.

Data sources

Data are extracted from administrative files and derived from other Statistics Canada surveys and/or other sources.

The main source of data is assessment values collected from provincial, territorial or municipal assessment entities and are based on assessment rolls. Data respondents provide the data on a regular basis either through formal agreements or responding per request. Data are generally reported at the municipality level.

The municipalities covered in the source data are assigned to census sub-divisions (CSD) updated annually by Statistics Canada's Standard Geographical Classification system. Some CSD types are out of scope, such as Indian Reserves. Values for such CSDs are not part of the estimates.

The assessment data source files contain the assessment values by type of property, taxation status, and other related variables, whose availability varies by jurisdiction.

The program seeks to obtain and use the most up-to-date assessment data as late in the production cycle as feasible. This is done to minimize the amount of adjustments that need to be applied to conform to the target dates for price and volume.

Auxiliary sources of data include sales of resale properties from the Canadian Real Estate Association, building permits, investment in construction, and census of population.

Error detection

Most reporting and data entry errors are corrected through computerized input and complex data review procedures. Strict quality control procedures are applied to ensure that collection, coding and data processing are as accurate as possible. Checks are also performed on totals and the magnitude of data. Reports that fail to meet the quality standards are subject to verification and are corrected as required. The fact that the assessment rolls data are extracted from municipal or provincial administrative files lowers the risk of reporting errors.


Municipalities for which values are missing are imputed either using previous year values or values based on census of population information.


This methodology type does not apply to this statistical program.

Quality evaluation

Coherence analysis is performed to compare the source data to information obtained from other sources in order to maintain consistency and quality of imputation and adjustment. More specifically, geography coverage analysis is conducted to match census sub-divisions to municipalities reported in the source data, based on which the need for imputation is determined. Within the residential category, the coherence of data on numbers and values of property is examined by comparing the source data to private dwelling counts and values registered in Statistics Canada's Census of population. Furthermore, provincial/territorial total values for residential property are compared to other sources of data. Any irregularities identified are carefully analyzed and corrections are made before the official release of the data.

Disclosure control

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.

Revisions and seasonal adjustment

Revisions could be made for several reasons. The main reasons could include: receipt of more detailed source data or data with a more updated base or state date, revisions to auxiliary data, updates to the Type of Property Classification or introduction of new information when it becomes available.

The estimates are not subject to seasonal adjustment.

Data accuracy

No direct measures of the margin of error in the estimates can be calculated. The quality of the estimates can be inferred from analysis of revisions and from a subjective assessment of the data sources and methodology used in the preparation of the estimates.


Report a problem on this page

Is something not working? Is there information outdated? Can't find what you're looking for?

Please contact us and let us know how we can help you.

Privacy notice

Date modified: