Property Tax Base Project - Residential Property Values
Detailed information for 2007
Status:
Active
Frequency:
Annual
Record number:
5191
The Property Tax Base Project is primarily intended to meet data requirements from Finance Canada for the Federal Equalization Program, in which the property tax base (residential and non-residential property combined) is one of the important components. These data requirements include property values at market price and population estimates.
Data release - December 20, 2011 (data availability announced in The Daily release entitled "Fiscal Arrangements Certificates: Federal Equalization Program")
Description
The Property Tax Base Project is primarily intended to meet data requirements from Finance Canada for the Federal Equalization Program, in which the property tax base (residential and non-residential combined) is one of the important components. These data requirements include property values at market price and population estimates.
For the time being, the property value component of the project focuses entirely on residential property assessment. In producing the estimates, Statistics Canada has incorporated conceptual and methodological elements that are either stipulated by or are endorsed by Finance Canada.
The property value component refers to annual aggregated property values at the provincial and municipal level, stratified by general property groupings that include residential, non-residential, agricultural, engineering, and other category. The current estimates are limited to residential property values which are adjusted to reflect common valuation base date and state date in order to enhance inter-provincial comparability.
- A base date is the reference date for the valuation of all properties using a market value standard.
- A state date is the date that refers to the physical state of the property to be valued.
The Equalization program requires that, for taxation year t, the residential values reflect a base date on July 1 in year t-1, and that they correspond to a state date on January 1 in year t where all residential properties are reflected in the inventory.
The values are also broken down by their taxation status, including taxable, exempt, and where applicable, provincial, municipal and federal grants-in-lieu.
Subjects
- Construction
- Government
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.
For the time being, the property value component of the project focuses entirely on residential property assessment.
Instrument design
This methodology does not apply.
Sampling
This methodology type does not apply to this statistical program.
Data sources
Data are extracted from administrative files.
Data are collected from provincial/municipal assessment entities and are based on their assessment rolls. Data respondents have agreed to 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 by original data are matched to census sub-divisions (CSD) updated annually by Statistics Canada's Standard Geographical Classification system.
Some CSD types are out of scope according to Finance Canada and property assessment values for such CSD are not part of the estimates. The out-of-scope types include IGD (Indian government district), IRI (Indian reserve), NL (Nisga'a land), NV (Northern village), NVL (Nisga'a village), S-É (Indian settlement), SÉ (Settlement), TC (Terres réservées aux Cris), TI (Terre inuite), TK (Terres réservées aux Naskapis), TL (Teslin land), TR (Terres réservées), VC (Village cri), VK (Village naskapi) and VN (Village nordique). Also excluded from the database are some specific CSDs which are treated as Indian reserves although their types are not in the out-of-scope list.
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.
Imputation
Municipalities for which values are missing are imputed either using previous year values or based on census population data information.
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 need of 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 2006 Census of population. Furthermore, provincial 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 that 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.
In order to prevent any data disclosure, confidentiality analysis is done using the Statistics Canada Generalized Disclosure Control System (G-Confid). G-Confid is used for primary suppression (direct disclosure) as well as for secondary suppression (residual disclosure). Direct disclosure occurs when the value in a tabulation cell is composed of or dominated by few enterprises while residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.
Revisions and seasonal adjustment
Revisions could be made for several reasons. The main reasons may include: receipt of data from a respondent with a more updated base or state date, revisions to auxiliary data used, e.g., Multiple Listing Services (MLS), introduction of information, when it becomes available, from the most recent census of population, etc.
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.
Documentation
- National Database of Residential Property Value Assessment
This is internal documentation only.
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