Housing

Key indicators

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All (666) (0 to 10 of 666 results)

  • Stats in brief: 11-001-X20202133592
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-07-31

  • Table: 18-10-0169-01
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Quarterly
    Description:

    Residential property price index (RPPI). Quarterly data are available from the first quarter of 2017. The table presents data for the most recent reference period and the last four periods. The base period of the index is 2017=100.

    Release date: 2020-07-30

  • Table: 18-10-0169-02
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Quarterly
    Description:

    Residential property price index (RPPI). Quarterly data are available from the first quarter of 2017. The table presents quarter-over-quarter and year-over-year percentage changes for various aggregation levels. The base period of the index is 2017=100.

    Release date: 2020-07-30

  • Table: 18-10-0171-01
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Annual
    Description:

    Residential Property Price Index annual weights are presented in terms of the relative importance of the sales values of each Census Metropolitan Area (CMA), building type and construction type. The relative importance is calculated by dividing the weight of each of the six CMAs by the sum of the weights of those six CMAs. The weights correspond to a three-year average of the value of sales of residential properties. Annual weights are available from 2017.

    Release date: 2020-07-30

  • Stats in brief: 11-001-X202021118843
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-07-29

  • Table: 18-10-0135-01
    (formerly: CANSIM 327-0058)
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Quarterly
    Description:

    Building construction price indexes (BCPI) by type of building. Quarterly data are available from the first quarter of 1982. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2017=100).

    Release date: 2020-07-29

  • Table: 18-10-0135-02
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Quarterly
    Description:

    Building construction price indexes (BCPI) by type of building. Quarterly data are available from the second quarter of 1982. The table presents quarter-over-quarter and year-over-year percentage changes for various aggregation levels. The base period for the index is (2017=100).

    Release date: 2020-07-29

  • Stats in brief: 45-28-0001202000100053
    Description:

    This article examines key housing markets in Canada prior to COVID-19 and offers an outlook of the impacts of the pandemic on the real estate market over the next few months. Price trends for four property types, such as new houses, new condominiums, resale houses and resale condominiums are explored. Prior to COVID-19, the price of condominium apartments increased at a faster pace than singles, semi-detached and row homes. The global pandemic may cause a shift of preferences for larger homes instead of condominiums as future home buyers may prefer larger homes in the suburbs as working from home becomes more prevalent.

    Release date: 2020-07-21

  • Stats in brief: 11-001-X202020319277
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-07-21

  • Stats in brief: 11-001-X202020325344
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-07-21
Data (544)

Data (544) (0 to 10 of 544 results)

  • Table: 18-10-0169-01
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Quarterly
    Description:

    Residential property price index (RPPI). Quarterly data are available from the first quarter of 2017. The table presents data for the most recent reference period and the last four periods. The base period of the index is 2017=100.

    Release date: 2020-07-30

  • Table: 18-10-0169-02
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Quarterly
    Description:

    Residential property price index (RPPI). Quarterly data are available from the first quarter of 2017. The table presents quarter-over-quarter and year-over-year percentage changes for various aggregation levels. The base period of the index is 2017=100.

    Release date: 2020-07-30

  • Table: 18-10-0171-01
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Annual
    Description:

    Residential Property Price Index annual weights are presented in terms of the relative importance of the sales values of each Census Metropolitan Area (CMA), building type and construction type. The relative importance is calculated by dividing the weight of each of the six CMAs by the sum of the weights of those six CMAs. The weights correspond to a three-year average of the value of sales of residential properties. Annual weights are available from 2017.

    Release date: 2020-07-30

  • Table: 18-10-0135-01
    (formerly: CANSIM 327-0058)
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Quarterly
    Description:

    Building construction price indexes (BCPI) by type of building. Quarterly data are available from the first quarter of 1982. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2017=100).

    Release date: 2020-07-29

  • Table: 18-10-0135-02
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Quarterly
    Description:

    Building construction price indexes (BCPI) by type of building. Quarterly data are available from the second quarter of 1982. The table presents quarter-over-quarter and year-over-year percentage changes for various aggregation levels. The base period for the index is (2017=100).

    Release date: 2020-07-29

  • Table: 18-10-0205-01
    (formerly: CANSIM 327-0056)
    Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census agglomeration
    Frequency: Monthly
    Description:

    New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

    Release date: 2020-07-21

  • Table: 18-10-0205-02
    Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census agglomeration
    Frequency: Monthly
    Description:

    New housing price index (NHPI). Monthly data are available from February 1981. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (201612=100).

    Release date: 2020-07-21

  • Table: 34-10-0175-01
    Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area part
    Frequency: Monthly
    Description:

    The investment in residential and non-residential building construction represents the spending value of building construction by households, enterprises and governments for buildings, excluding the value of land. The investment data for residential and non-residential building construction gives a detailed statistical image of this activity across Canada, including the provinces and territories, and census metropolitan areas (CMA). Non-residential building construction excludes expenditure on engineering work (bridges, roads, hydroelectric power plants, etc.). The statistics are used by a wide range of economists and analysts from the public and private sectors.

    Release date: 2020-07-21

  • Table: 34-10-0139-01
    (formerly: CANSIM 027-0047)
    Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area
    Frequency: Quarterly
    Description:

    This table contains data described by the following dimensions (Not all combinations are available): Geography (20 items: Canada; Atlantic provinces; Prince Edward Island; Newfoundland and Labrador ...).

    Release date: 2020-07-20

  • Table: 34-10-0149-01
    (formerly: CANSIM 027-0038)
    Geography: Census metropolitan area, Census metropolitan area part
    Frequency: Monthly
    Description:

    This table contains data described by the following dimensions (Not all combinations are available): Geography (37 items: Census metropolitan areas; Abbotsford-Mission, British Columbia; Barrie, Ontario; Brantford, Ontario; ...);  Completed dwelling units (2 items: Absorptions; Unabsorbed inventory);  Type of dwelling unit (3 items: Total units; Single detached units; Semi-detached units).

    Release date: 2020-07-20
Analysis (93)

Analysis (93) (70 to 80 of 93 results)

  • Stats in brief: 97-554-X2006001
    Description:

    This report provides information on homeownership and shelter costs in Canada from the 2006 Census. Topics include homeownership, the presence of a mortgage, condominium status, housing life cycle (or housing career), shelter costs and housing affordability. The report looks at the impact on several key groups: households in lower income groups, persons living alone, lone-parent households, seniors, immigrants and recent immigrants. Geographical differences are considered for provinces, territories and selected census metropolitan areas. The 2006 Census data showed that homeownership rose between 2001 and 2006, continuing an upward trend that began in 1991.

    Release date: 2008-06-11

  • Articles and reports: 75-001-X200810113202
    Geography: Canada
    Description:

    Since shelter is the biggest expenditure most households make, its affordability can have a big impact on their wellbeing. Measuring affordability involves comparing housing costs with a household's ability to meet them. Up to now, affordability has been measured at a particular time. New information enables a first-ever longitudinal review of housing affordability. This article examines the likelihood of spending 30% or more of household income on shelter, how often this occurs and whether it is occasional or persistent.

    Release date: 2008-03-18

  • Articles and reports: 75F0002M2008001
    Description:

    Shelter is the biggest expenditure most households make and its affordability can have an impact on the wellbeing of household members. For this reason, housing affordability is closely watched by a wide range of stakeholders - from housing advocates to policy analysts - interested in the welfare of Canadians. Measuring affordability involves comparing housing costs to a household's ability to meet them. One common measure is the shelter-cost-to-income-ratio (STIR). The 30% level is commonly accepted as the upper limit for affordable housing. Housing affordability is also a critical input to Canada Mortgage and Housing Corporation's core housing need indicator which is used by governments to help design, deliver, fund and evaluate social housing programs. This report, jointly authored by Statistics Canada and CMHC, focuses purely on the dynamics of housing affordability, not on core housing need. It examines the likelihood of spending 30% or more of household income on shelter, how often this occurs, whether it is occasional or persistent, and contrasts those spending 30% or more to those spending less. Cross-sectional estimates indicate that around 19% of Canadians lived in households spending more than the affordability benchmark in 2002. Longitudinally however, less than 9% lived in households that spent above the benchmark in each year between 2002 and 2004, while another 19% lived in households spending above the benchmark for either one or two years. The attributes associated with the highest probabilities of living in a household spending above the affordability benchmark were: living alone, being a female lone parent, renting, being an immigrant, or living in Vancouver or Toronto. In addition, those living in households experiencing some kind of transition between 2002 and 2004 period had a higher probability of exceeding the benchmark at least once during the period. Such transitions included renters with a change in rent-subsidy status, those who changed from owner to renter or vice versa, those who changed family type (for example, marrying or divorcing), and those who moved between cities. Notably, those experiencing these transitions did not exceed the benchmark persistently.

    Release date: 2008-01-25

  • Articles and reports: 11-008-X200700510314
    Geography: Canada
    Description:

    Home ownership is very important to the vast majority of Canadians. Young adults are no different from the general population in this respect. To what extent do young adults succeed in making this desire a reality? What are the characteristics of those young people who own their home, and what are the obstacles to home ownership? Using data from the 2006 General Social Survey on family transitions, this article answers these questions by identifying the different factors associated with home ownership among young people aged 25 to 39 who no longer live with their parents.

    Release date: 2007-12-11

  • Articles and reports: 75-001-X200611113174
    Geography: Canada
    Description:

    A household's ability to afford housing has traditionally been measured using income information derived from the census. A household spending 30% or more of its income on shelter was considered to have a shelter-cost burden. The Survey of Household Spending provides an alternative denominator based on total household spending.

    Release date: 2006-12-20

  • Articles and reports: 75F0002M2006007
    Description:

    This paper summarizes the data available from SLID on housing characteristics and shelter costs, with a special focus on the imputation methods used for this data. From 1994 to 2001, the survey covered only a few housing characteristics, primarily ownership status and dwelling type. In 2002, with the start of sponsorship from Canada Mortgage and Housing Corporation (CMHC), several other characteristics and detailed shelter costs were added to the survey. Several imputation methods were also introduced at that time, in order to replace missing values due to survey non-response and to provide utility costs, which contribute to total shelter costs. These methods take advantage of SLID's longitudinal design and also use data from other sources such as the Labour Force Survey and the Census. In June 2006, further improvements in the imputation methods were introduced for 2004 and applied to past years in a historical revision. This report also documents that revision.

    Release date: 2006-07-26

  • Articles and reports: 11-010-X20050108758
    Geography: Canada
    Description:

    The current boom in housing reflects not just low interest rates, but also a number of factors such as population changes, migration and household formation. These will continue to support housing even if interest rates rise.

    Release date: 2005-10-13

  • Articles and reports: 11-008-X20050028451
    Geography: Canada
    Description:

    Age brings limitations that affect where, how and with whom people live. One of the concerns that seniors may face is affordable housing. This may be a particular concern for those seniors who lose a spouse and are faced with reduced household income while shelter costs remain unchanged. Using data from the 2001 Census of Population and the 2002 General Social Survey (GSS), this article looks at who seniors live with and the affordability of their homes.

    Release date: 2005-09-13

  • Articles and reports: 75F0002M2005010
    Description:

    For some time, Canada Mortgage and Housing Corporation (CMHC) has used data on housing characteristics and housing-related expenditures from the Census of Population. Although the Census data source serves CMHC's purposes to a large extent, the federal government agency turned to the annual household surveys of Statistics Canada to provide information on a more frequent basis. This would allow them to have a better picture of annual trends, and perhaps have a greater choice of other characteristics with which to cross housing data on Canadian households. In 2001, CMHC began to sponsor additional content in both the Survey of Labour and Income Dynamics (SLID) and the Survey of Household Spending (SHS), starting with reference year 2002.

    Release date: 2005-07-22

  • Articles and reports: 75-001-X200510313137
    Geography: Canada
    Description:

    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.

    Release date: 2005-06-20
Reference (28)

Reference (28) (0 to 10 of 28 results)

  • Surveys and statistical programs – Documentation: 98-20-00012020005
    Description:

    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.

    Release date: 2020-07-20

  • Surveys and statistical programs – Documentation: 75F0002M2020001
    Description:

    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.

    Release date: 2020-01-15

  • Surveys and statistical programs – Documentation: 98-509-X
    Description:

    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.

    Release date: 2017-11-15

  • Surveys and statistical programs – Documentation: 98-500-X2016005
    Description:

    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.

    Release date: 2017-10-25

  • Surveys and statistical programs – Documentation: 98-501-X2016007
    Description:

    The Housing Release and concepts overview provides an overview of the concepts, definitions and key measures used in the 2016 Census of Population Housing release, as well as the products which will be available on release day and later.

    Release date: 2017-08-31

  • Surveys and statistical programs – Documentation: 98-500-X2016001
    Description:

    This guide focuses on the following topic: Structural Type of Dwelling and Collectives variables. Provides information that enables users to effectively use, apply and interpret data from the 2016 Census. Each guide contains definitions and explanations on census concepts, talks about changes made to the 2016 Census, data quality and historical comparability, as well as comparison with other data sources. Additional information will be included for specific variables to help general users better understand the concepts and questions used in the census.

    Release date: 2017-05-03

  • Surveys and statistical programs – Documentation: 98-501-X2016003
    Description:

    The Type of dwelling Release and concepts overview provides an overview of the concepts, definitions and key measures used in the 2016 Census of Population Type of dwelling release, as well as the products which will be available on release day and later.

    Release date: 2017-03-15

  • Geographic files and documentation: 92-151-X
    Description:

    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.

    Release date: 2017-02-08

  • Surveys and statistical programs – Documentation: 12-001-X201300211869
    Description:

    The house price index compiled by Statistics Netherlands relies on the Sale Price Appraisal Ratio (SPAR) method. The SPAR method combines selling prices with prior government assessments of properties. This paper outlines an alternative approach where the appraisals serve as auxiliary information in a generalized regression (GREG) framework. An application on Dutch data demonstrates that, although the GREG index is much smoother than the ratio of sample means, it is very similar to the SPAR series. To explain this result we show that the SPAR index is an estimator of our more general GREG index and in practice almost as efficient.

    Release date: 2014-01-15

  • Surveys and statistical programs – Documentation: 99-014-X2011007
    Description:

    This reference guide provides information that enables users to effectively use, apply and interpret data from the 2011 National Household Survey (NHS). 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 NHS.

    Release date: 2013-09-11

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