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  • Articles and reports: 46-28-0001202100100025
    Description: This article about people in poverty, seniors, and recent immigrants is part of the "Housing Experiences in Canada" fact sheet series. This series focuses on housing indicators that provide information on the housing experiences of different population groups, with a focus on those identified in legislation that recognizes housing as a human right.
    Release date: 2023-11-22

  • Articles and reports: 36-28-0001202300800003
    Description: One in three Canadian households rent their primary residence. Rental costs are often incomparable without accounting for differences across data sources, regions and dwellings (e.g. dwelling type, size, condition). Similarly, a failure to account for differences in terms of non-financial inclusions such as utilities, parking, appliances or air conditioning can undermine the validity of cost comparisons. Using the 2021 Canadian Housing Survey (CHS), this study explores the prevalence of such rental inclusions and their potential impact on rental costs.
    Release date: 2023-08-23

  • Articles and reports: 11-621-M2023008
    Description: This is an overview of how private short-term rentals have grown and impacted the accommodation services subsector from 2017 to 2021. It includes a discussion of national, provincial, territorial and selected subprovincial trends and what changed during the COVID-19 pandemic years. This study examined results from Statistics Canada's annual accommodation services survey and AirDNA's monthly data on short-term rentals to make market share comparisons at various geographic levels.
    Release date: 2023-06-30

  • Articles and reports: 46-28-0001202300100001
    Description: In this article, the Canadian Housing Statistics Program (CHSP) is releasing new data on the profile of real estate investors and the residential properties they owned in 2020 for the provinces of Nova Scotia, New Brunswick, Ontario, Manitoba and British Columbia.
    Release date: 2023-02-03

  • Stats in brief: 11-627-M2020024
    Description:

    This infographic presents a portrait of renter households living in social and affordable housing based on the results of the 2018 Canadian Housing Survey.

    Release date: 2020-10-02

  • Articles and reports: 13-605-X201900100001
    Description:

    Statistics Canada continuously works to ensure that economic measures reflect our reality, including new and emerging activities such as the private short-term accommodation market. The Canadian Macroeconomic Accounts have developed provisional estimates of the private short-term accommodation market in Canada, the provinces and territories. This paper outlines an innovative approach to measuring this activity using web-scrapped data. In addition to providing provisional estimates of the overall market, this paper contains detailed analysis of the largest private accommodation digital platform used in Canada. Finally, it summarizes the approach taken for incorporating the data into various macroeconomic measures, such as gross domestic product (GDP).

    Release date: 2019-03-14

  • Articles and reports: 11F0027M2013083
    Geography: Canada
    Description:

    This paper examines why rates of homeownership have been increasing amongst young higher-income households, but declining among young lower-income households. For the period from 1981 to 2006, household data from the Census of Population, supplemented with information from the Survey of Financial Security, are employed to model the decision to own across the income distribution. The model assesses whether housing market conditions (e.g., the cost of renting versus owning), the financial condition of households (e.g., whether the household has sufficient wealth to make a standard down payment), and demographic factors (e.g., changing family composition) account for these diverging trends in housing demand.

    Release date: 2013-01-29

  • Articles and reports: 16-002-X200800310684
    Geography: Canada
    Description:

    Turning down the temperature by just a few degrees at night is one way Canadians can reduce their home heating expenses while also reducing their impact on the environment. Using data from the 2006 Households and the Environment survey, this study examines home heating practices and temperature controlling behaviours.

    Release date: 2008-09-25

  • Articles and reports: 89-630-X200800110647
    Geography: Canada
    Description:

    Between 1985 and 2006, the percentage of Canadians living in dwellings where someone in the household was the owner gradually increased from about 70% to 78%.

    Release date: 2008-06-19

  • 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
Reference (2)

Reference (2) ((2 results))

  • Surveys and statistical programs – Documentation: 62F0026M2002002
    Geography: Province or territory
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via paper questionnaires and personal interviews conducted in January, February and March after the reference year. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the 10 provinces and the 3 territories. (The territories are surveyed every second year, starting in 2001.) This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share and aggregates).

    Release date: 2002-12-11

  • Surveys and statistical programs – Documentation: 62F0026M2002001
    Description:

    This report describes the quality indicators produced for the 2000 Survey of Household Spending. It covers the usual quality indicators that help users interpret the data, such as coefficients of variation, non-response rates, slippage rates and imputation rates.

    Release date: 2002-06-28
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