Housing

Description: Data on resident buyers who are persons that purchased a residential property in a market sale and filed their T1 tax return form: number of and incomes of residential property buyers, sale price, price-to-income ratio by the number of buyers as part of a sale, age groups, first-time home buyer status, buyer characteristics (sex, family type, immigration status, period of immigration, admission category).

Description: This analysis is divided into three sections. Section 1 looks at the principal components of non-mortgage loans, while section 2 looks at mortgage loans and the breakdown of insured and uninsured mortgages. Section 3 looks at both mortgage and non-mortgage loans and highlights indicators related to household indebtedness and financial stability.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Building construction price indexes weights by census metropolitan area. Annual weights are available from 2017.

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New condominium apartment price indexes (NCAPI), relative importance by census metropolitan area. Annual weights are available from 2017.

Description: The paper focuses on the subset of short-term rentals (STRs) that could potentially serve as long-term housing. This subset of STRs, referred to as potential long-term dwellings (PLTDs), is intended to capture STR units that are not serving as anyone’s primary residence, but could potentially function as long-term housing (either as owner-occupied or rental units). The PLTD subset is compared with total housing units (owned or rented) at the national, provincial and territorial levels, as well as in major census metropolitan areas and in tourist areas.

Description: This infographic is a visual representation of short-term rental (STR) activity across Canada, focusing particularly on the subset of STRs that could potentially be used for long-term housing. This subset of STRs is referred to as potential long-term dwellings (PLTDs), it comprises entire units listed for more than 180 days a year, excluding vacation-type properties.

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Data on the number and assessment value of residential properties owned by businesses and governments, by property type, legal type and industry.

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Residential property estimates by geography, property type, period of construction and residency participation.

Description: The National Address Register (NAR) is a list of commercial and residential addresses in Canada that are extracted from Statistics Canada's Building Register and deemed non-confidential.

Description: Housing indicators, including dwelling characteristics (as well as condominium status and structural type of dwelling), level of dwelling and neighbourhood satisfaction reported by the reference person (the person responsible for housing decisions), reasons for moving from previous dwelling, by tenure including first-time homebuyer status, Canada, provinces, populations centres, select census metropolitan areas (CMAs) and census agglomerations (CAs).

Description: Core housing need, by tenure including first-time homebuyer and social and affordable housing status, Canada, provinces, populations centres, select census metropolitan areas (CMAs) and census agglomerations (CAs).

Description: Dimensions of core housing need, by tenure including first-time homebuyer and social and affordable housing status, Canada, provinces, populations centres, select census metropolitan areas (CMAs) and census agglomerations (CAs).

Description: This table contains 1812 series, with data for years 2009 – 2018 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; New Brunswick;… ) Prices (3 items: Current prices; 2017 constant prices; Chained (2017) dollars) Sector (4 items: Total all sectors; Business sector; Government sector; Non-profit institutions serving households sector) Flows and stocks (3 items: Investment; Geometric depreciation; Geometric end-year net stock) Assets (7 items: Total assets; Total non-residential; Non-residential buildings; Engineering construction; ...).

Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.

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Data on the number of residential property owners and their assessment value by ownership type, residency status and number of properties owned. As well as data on the number of resident buyers of properties sold in a market and a non-market sale, during the previous reference period, and data on the sale price of those properties sold in a market sale.

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Data on the number of business and government owners of residential property, and the total assessment value of the properties they own, by legal type, industry and the number of properties owned.

Description: Data on resident owners who are persons occupying one of their residential properties: sex, age, total income, the type and the assessment value of the owner-occupied property, as well as the number and the total assessment value of residential properties owned.

Description: Data on total family income and characteristics of resident owners who are persons occupying one of their residential properties and filed their T1 tax return form: sex, age, family type and size, employment status, claimant status of the home buyers' amount for the purchase of a home and the total assessment value of residential properties owned.

Description: Data on resident owners who are persons occupying one of their residential properties: immigration characteristics (immigration status, period of immigration, admission category, place of birth), age, total family income, the number and the total assessment value of residential properties owned.

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Local government revenues are increasingly perceived as inadequate to fund the program responsibilities of municipalities. Property taxes (residential and non-residential) are by far the most important revenue source, accounting for 35% in 2003 (up from 30% in 1988). But, residential property taxes are commonly viewed as regressive in relation to income. This study uses the 2001 Census of Population to quantify the regressiveness of residential property taxes in Canadian municipalities, and to examine whether regressive taxes are generally attributable to lower-income seniors living in high-priced homes.

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This article summarizes findings from the research paper entitled Are immigrants buying to get in? The role of ethnic clustering on the homeownership propensities of 12 Toronto immigrant groups, 1996-2001. Spatial assimilation theory is a model of status attainment that links the spatial and social positions of minority group members (Massey and Denton 1985). If applied to immigrants, the model would suggest that immigrants would first cluster in typically poor neighbourhoods with high concentrations of co-ethnics, but that ethnic concentration should be temporary and of declining utility. Once an immigrant family's socioeconomic status improves, they should merge into the residential 'mainstream' by moving to a better, and typically less segregated, neighbourhood (Massey and Denton 1985). Further, although housing tenure is not an explicit dimension of spatial assimilation theory, given the well-established relationship between income, human capital and homeownership (Balakrishnan and Wu 1992; Laryea 1999), and the importance of homeownership as an indicator of well-being and residential assimilation (Myers and Lee 1998), part of an immigrant family's socioeconomic ascent should be a shift from tenant to homeowner (Alba and Logan 1992). Spatial assimilation theory would further predict that same-group concentration should be inversely related to homeownership since ethnic enclaves are typically conceived of as poor rental zones (Fong and Gulia 1999; Myles and Hou 2004).

Recent research (Alba and Nee 2003; Logan, Alba, and Zhang 2002), however, finds that some immigrant groups may be choosing against spatial assimilation to form more durable 'ethnic communities' (Logan, Alba, and Zhang 2002), giving rise to a positive and growing 'enclave effect' on homeownership (Borjas 2002). In this paper, an enclave effect is evaluated as an explanation for the 1996-2001 homeownership patterns of Toronto's 12 largest recent immigrant groups. Using longitudinally-consistent and temporally-antecedent 1996 neighbourhood ethnic composition data this paper aims to determine if immigrants buy homes outside their enclaves or prefer an owner-occupied neighbourhood of same-group members. To this end, the paper discusses the potential benefits of living and buying in an enclave; it develops a predictive framework for determining which groups might benefit from owner-occupied ethnic communities; it also examines the issue of 'neighbourhood disequilibrium' and evaluates the enclave effect on homeownership using a sample of recent (1996-2001) movers, their 1996 neighbourhood ethnic characteristics, and bivariate probit models with sample selection corrections (Van de Ven and Van Praag 1981).

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In the past, working-age immigrant families in Canada's large urban centres had higher homeownership rates than the Canadian-born. Over the past twenty years however, this advantage has reversed, due jointly to a drop in immigrant rates and a rise in the popularity of homeownership among the Canadian-born. This paper assesses the efficacy of standard consumer choice models, which include indicators for age, income, education, family type, plus several immigrant characteristics, to explain these changes. The main findings are that the standard model almost completely explains the immigrant homeownership advantage in 1981, as well as the rise over time among the Canadian-born, but even after accounting for the well-known decline in immigrant economic fortunes, only about one-third of the 1981-2001 immigrant change in homeownership rates is explained. The implications of this inability are discussed and several suggestions for further research are made.

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The report examines housing market trends and housing adequacy, suitability, affordability, and core housing need in Canada's census metropolitan areas (CMAs) from 1991 to 2001.

It begins with a review of demographic and housing market trends, including changes in house prices, rents, and incomes during the 1990s and of factors underlying increasing housing demand late in the decade. Against this backdrop, subsequent chapters examine how well households living in CMAs were housed in 1991, 1996, and 2001. Households that do not live in acceptable housing and do not have sufficient income to afford such housing are deemed to be in core housing need. The last chapter of the report explores the spatial distribution of core housing need in CMAs in 2001 and the characteristics of neighbourhoods in which core housing need was most prevalent.

This publication is not available. For more information, contact Andrew Heisz at 613-951-3748 or Sébastien Larochelle-Côté at 613-951-0803.

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This article examines housing costs within the context of income and assets, focusing on elderly homeowners but including younger families and renters for comparison. The low-income dimension is also explored.

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This product includes a data quality note and two data tables on collective dwellings in the 2001 Census.

This series includes a number of comprehensive articles that supplement the day-of-release information launched through The Daily. These catalogued articles provide an analytical perspective on the 2001 Census release topics. The number and length of these articles vary for each census release and are based on the 21 census release topics disseminated over 8 major release dates.

More focused articles were disseminated as major releases in The Dailyin the weeks following the official release of the data. Other more specialized articles were also announced in The Daily. The articles in the 2001 Census Analysis Series are available free of charge via the Internet.

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This article examines how Canadians were housed in 2000. What percentage lived in owner-occupied homes? Were their homes in good condition? Was the size suitable for their needs? And, what proportion of their income was spent on housing?

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This paper examines whether long-run labour market outcomes depend on residential environment among adults who grew up in subsidized housing in Toronto. The housing program in Toronto provides a full spectrum of neighbourhood quality types to measure outcome differences, and offers a real-life example of large scale neighbourhood quality reform. A primary advantage with this approach is that, conditional on participation in public housing, residential choice is substantially limited. Families that applied for public housing could not specify which project they wished to be housed in and were constrained to what was offered based on availability at the time they applied and by family size. Unlike previous housing mobility experiments, the availability of administrative tax records are used to measure both short and long run outcomes. The results indicate almost no difference in educational attainment, adult earnings, income, and social assistance participation between children from different public housing types. Average outcomes, estimated wage distributions, and outcome correlations among unrelated project neighbours show no significant neighbourhood impact. In contrast, family differences seem to matter a great deal.

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The Canadian Consumer Price Index (CPI) applies a version of the user cost approach to measure the cost of home ownership. Because this approach specifically estimates the costs of using owned accommodation and not those faced by tenants, the measure includes a "replacement cost" (or depreciation) component. Depreciation is the only component in the CPI that is not an out-of-pocket expense. Consequently, economists face a unique set of methodological challenges when measuring depreciation.

Between 1949 and 1997, the annual housing depreciation rate used in the CPI was 2%. Statistics Canada adopted the rate from a study that analysed U.S. Federal Housing Administration field appraisal data from 1939.

This study argues that there is evidence that the 2% depreciation rate is too high to continue to use in the future. Consider that: 1) other Canadian studies show an upper bound of 1.7%, with a median estimate of 1.5%; 2) other statistical agencies use lower rates; and 3) every academic study over the past 40 years has arrived at a lower rate. As a consequence of this study and the existing supporting evidence, the depreciation rate in the Canadian CPI was lowered to 1.5% effective January 1998.

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This article examines the characteristics of people living in mobile homes, with special emphasis on the differences between rural and urban households.

Description: Data collected by the Census of Population are used to create different household indicators to help governments and organizations assess housing needs in Canada. This video focuses on six key household indicators that help governments and organizations manage the state of housing in Canada, namely, shelter costs, shelter-cost-to-income ratio, housing adequacy, housing suitability, housing affordability and core housing need.

Description: This reference guide provides information to help users effectively use and interpret housing characteristics data from the 2021 Census. This guide contains definitions and explanations of concepts, questions, classifications, data quality and comparability with other sources for this topic.

Description: The objective of this video is to offer insights into housing variables and key household indicators like housing adequacy, suitability and affordability. It explains where housing questions are found on the Census of Population questionnaire, the importance of housing data and how housing data are used by governments, businesses and social service agencies.

Description: This video introduces household and dwelling characteristics and their use in dissemination and analysis. It also presents the housing variables that are commonly used in analyses such as household maintainer, tenure, total income of household, household size and household type. In addition, the video shows the dwelling characteristics that describe the physical attributes of the living quarters occupied by the household, such as number of rooms, number of bedrooms, period of construction, dwelling condition, condominium status and value (owner estimated).

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This reference guide provides information to help users effectively use and interpret type of dwelling data from the 2021 Census. This guide contains definitions and explanations of concepts, questions, classifications, data quality and comparability with other sources for this topic.

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The Geographic Attribute File contains information at the dissemination block level, based Census standard geographic areas. The data available include population counts, dwelling counts, and land area. In addition, the Geographic Attribute File contains higher level standard geographic codes, names and, where applicable, types and classes. Data for higher level standard geographic areas can be derived by aggregating dissemination block level data. The dissemination area representative point coordinates are also included in the Geographic Attribute File.

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This fact sheet offers a concise overview of updated—new or modified—content for the 2021 Census of Population that is specific to the theme of income and expenditures, and housing, which includes the following topics: income and expenditures, and housing. The changes considered for these topics are explained, along with the resulting approach for 2021.

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This note provides the definition of a first-time homebuyer concept used in the 2018 Canadian Housing Survey (CHS). It also includes the methodology used to identify first-time homebuyers and provides sensitivity analysis under alternative methodologies.

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This product presents 2016 Census highlights on core housing need. Tables and a figure feature distributions, rates and multiple dimensions of core housing need from current and previous censuses for various levels of geography. A short explanation of the indicator and references to other resources as well as downloadable materials are also provided.

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This guide focuses on the following topic: housing.This reference guide provides information that enables users to effectively use, apply and interpret data from the 2016 Census. This guide contains definitions and explanations of concepts, classifications, data quality and comparability to other sources. Additional information is included for specific variables to help general users better understand the concepts and questions used in the Census.