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Survey of Household Spending (SHS), average household spending by household income quintile.

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Survey of Household Spending (SHS), average household spending by household type.

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Survey of Household Spending (SHS), average household spending by household tenure.

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Survey of Household Spending (SHS), average household spending by size of area of residence.

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Survey of Household Spending (SHS), average household spending by age of reference person.

Description: Survey of Household Spending (SHS), dwelling characteristics and household equipment, percentage of households reporting and estimated number of households reporting.

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Survey of Household Spending (SHS), average household spending, three territorial capitals.

Description: Survey of Household Spending (SHS), dwelling characteristics and household equipment, percentage of households reporting and estimated number of households reporting.

Description: This infographic highlights some results from the 2023 Survey of Household Spending, such as how much Canadian households spent on various categories of goods and services and how it differed from 2021 and 2019.

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

Description: The Pan-Canadian Education Indicators Program (PCEIP) draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes.

PCEIP products include data tables, fact sheets, an interactive dashboard, a data explorer, and a handbook. They present indicators for all of Canada, the provinces, the territories, and include year over year comparisons.

The PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.

Description: The Public-Use Microdata File (PUMF) for the Survey of Household Spending (SHS) provides information on household expenditures as well as selected information on dwelling characteristics and household equipment. The production of this file includes many safeguards to prevent the identification of any one person or household.

PUMFs were produced on an annual basis for SHS 1997 to 2009, before a redesigned survey was introduced with the 2010 reference year. The SHS 2017 PUMF is the first SHS PUMF based on data collected after the 2010 survey redesign.

Due to changes to data collection, processing and estimation methods introduced with the 2010 redesign, users are advised not to compare data from SHS 1997 to 2009 with data from any subsequent years, unless otherwise noted.

Description: This dashboard displays average expenditure per household estimates by geography (Canada, regions, provinces; the three territorial capitals), household tenure, household type and household income quintile. For each domain, users can view, compare and download expenditure estimates for a number of spending categories, both as a time-series and for a specific reference year. Data are updated following the release of a Survey of Household Spending (SHS) cycle.

Description: A novel index for estimating the expense of housing and transportation in Canada has been developed, based on the Center for Neighborhood Technology’s Housing + Transportation (H+T®) Affordability Index. By combining census data and data from other statistical programs we obtain a composite index (the H+T Index) for all aggregate dissemination areas of Canada, except for territories and First Nations.

Description: A novel index for estimating the expense of housing and transportation in Canada has been developed, based on the Center for Neighborhood Technology’s Housing + Transportation (H+T®) Affordability Index. By combining Census data and data from other statistical programs we obtain a composite index (the H+T Index) for all Aggregate Dissemination Areas of Canada, except for Territories and First Nations. This table uses the methodology of table 46100090, calculated on Aggregate Dissemination Areas.

Description: Survey of Household Spending (SHS), average household spending on detailed food categories.

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Survey of Household Spending (SHS), average household spending, Canada, regions and provinces.

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Survey of Household Spending (SHS), average household spending by household income quintile.

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Survey of Household Spending (SHS), average household spending by household type.

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Survey of Household Spending (SHS), average household spending by household tenure.

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Previous studies of older Canadians well-being have focused on changes in income as individuals age and leave the workforce. However, little has been published on the extent to which consumption levels change in this transitional period. This study uses data from the Survey of Family Expenditures and the Survey of Household Spending to develop a synthetic cohort approach to determine how the consumption patterns of households headed by those born in the late 1930s changed from middle age (in the early 1980s) to retirement (in the late 2000s).

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Using data from the Survey of Household Spending and from its predecessor, the Survey of Family Expenditures, this paper investigates the relative incomes of retirement-age and working-age Canadians from 1969 to 2006, taking into account both explicit household income and the implicit income generated by owner-occupied housing. Over this 37-year period, the explicit incomes of retirement-age households increased at a more rapid pace than those of working-age households. Implicit income from owner-occupied housing also increased rapidly during this time, matching the rate at which the explicit income of retirement-age households increased. On average, this implicit source of earnings raised the incomes of retirement-age households (aged 70 and over) by 16%. Taking both forms of income into account, the incomes of retirement-age households (aged 70 and over), relative to the incomes of working-age households (aged 40 to 49), increased from 45% in 1969 to 59% in 2006. During this period, Canadians invested in housing assets that provided additional income upon retirement.

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This product presents the latest facts and figures on gambling in Canada.

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This fact sheet provides an overview of household spending related to education between 1997 and 2007. The text and accompanying charts summarize data at the Canadian and provincial levels from the Survey of Household Spending.

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In addition to sharing a border, Canada and the United States share many demographic and economic characteristics. Both countries have aging populations and low unemployment rates. Consumer spending has also been similar, although differences exist in certain areas. A comparison of spending patterns in Canada and the U.S. between the early 1980s and 2003.

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This paper shows how peoples decisions on whether to own or rent their residences impacted residential landlords and their market. It will also examine how the characteristics of renters have changed since 1986, and offer a brief profile of the residential real estate lessors industry.

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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.

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Using data from the Survey of Household Spending (SHS), this article explores household spending on culture goods and services over a five year period, from 1999 to 2004, and examines differences in average spending by household type.

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The division of labour between men and women continues to evolve. Today's couples have a much more equal partnership in sharing financial, child care and household responsibilities. This has been brought about in large part by the expanding economic role of women, which has helped erode the idea that men should be primarily responsible for paid work while women look after unpaid household and family duties.

Description: Since the early 1990s, increased attention has been focused on the possibility that the rate of inflation may be being overstated as a result of measurement biases in the estimation of the Consumer Price Index (CPI). One source of this possible error is caused by outlet substitution bias. This type of distortion can result when consumers shift their patronage from one retail outlet to another. As superstores and warehouse type stores continue to open and capture a larger share of the market, the existing CPI sample could become increasingly unrepresentative. If the prices are lower at the new outlets and this decrease in costs is not accurately captured in the CPI, the index will exhibit an upward bias.

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This report describes the quality indicators produced for the 2012 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

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This report describes the quality indicators produced for the 2011 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

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This report describes the quality indicators produced for the 2010 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

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Starting with the 2010 survey year, the Survey of Household Spending (SHS) has used a different collection methodology from previous surveys. The new methodology combines a questionnaire and a diary of expenses. Also, data collection is now continuous throughout the year. This note provides information to users and prospective users of data from the SHS about the methodological differences between the redesigned SHS and the former SHS.

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This report describes the quality indicators produced for the 2009 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

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This report describes the quality indicators produced for the 2009 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

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This report describes the quality indicators produced for the 2007 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

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This report describes the quality indicators produced for the 2008 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

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This report describes the quality indicators produced for the 2004 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

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This report describes the quality indicators produced for the 2005 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.