Keyword search

Sort Help


All (54)

All (54) (0 to 10 of 54 results)

Data (36)

Data (36) (0 to 10 of 36 results)

Analysis (16)

Analysis (16) (0 to 10 of 16 results)

  • Stats in brief: 11-627-M2020024

    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

    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

    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

    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

    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

    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

    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: 75-001-X200611113174
    Geography: Canada

    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: 11-008-X20050038969
    Geography: Canada

    The housing transition patterns of seniors had been the focus of some attention in 2004 against a backdrop of concerns about the dwindling demand for rental properties. This article takes a closer look at seniors who downsize, those who upsize and others who move for lifestyle reasons. It identifies the characteristics of senior movers, the life events associated with their move, and the various types of housing transitions they made.

    Release date: 2005-12-06

  • Articles and reports: 75F0002M2005010

    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
Reference (2)

Reference (2) ((2 results))

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

    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

    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
Date modified: