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All (37) (0 to 10 of 37 results)
- Stats in brief: 11-627-M2023056Description: This infographic highlights some results from the 2021 Survey of Household Spending, such as how much Canadian households spent on various categories of goods and services and how it differed from 2019. It also presents the effect that the COVID-19 pandemic had on expenses for pets, bicycles, home mortgages, recreational services and travel in 2021. Finally, it shows how spending on Internet services in Whitehorse and Yellowknife has changed since 2019.Release date: 2023-10-18
- Surveys and statistical programs – Documentation: 62F0026M2023001Description: This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.Release date: 2023-10-18
- 3. How Canadians spent their money in 2019 ArchivedStats in brief: 11-627-M2021006Description:
This infographic highlights some of the results of the 2019 Survey of Household Spending. It shows how Canadian households allocated their spending to various categories of goods and services. It also presents average spending on principal accommodation in selected Canadian cities. Finally, it shows how Internet access, and cell phone and landline use have changed over time.
Release date: 2021-01-22 - Surveys and statistical programs – Documentation: 62F0026M2021001Description: This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.Release date: 2021-01-22
- Stats in brief: 45-28-0001202000100060Description:
This article examines the expected changes in spending habits of Canadians after stores and businesses start re-opening and how these changes are associated with various demographic characteristics. It uses data from the third iteration (June 15, 2020 to June 21, 2020) of Statistics Canada's new Canadian Perspectives Survey Series (CPSS).
Release date: 2020-07-22 - Articles and reports: 62F0014M2020005Description:
An analysis of trends in Canadian consumer demand and sales using transaction data for grocery products amid the COVID-19 pandemic. This analysis includes Canadian grocery sales up to April 11.
Release date: 2020-05-11 - Surveys and statistical programs – Documentation: 62F0026M2018001Description:
This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.
Release date: 2018-12-12 - 8. Results from the Digital Economy Survey ArchivedStats in brief: 11-627-M2018028Description:
This infographic details the use, purchases and spending on digital products by Canadians aged 18 and older between July 2017 and June 2018. It also highlights the most common payment methods used for total personal spending.
Release date: 2018-08-29 - Surveys and statistical programs – Documentation: 62F0026M2017002Description:
This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.
Release date: 2017-12-13 - Surveys and statistical programs – Documentation: 62F0026M2017001Description:
This report describes the quality indicators produced for the 2015 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.
Release date: 2017-01-27
Data (1)
Data (1) ((1 result))
- 1. Food Expenditure in Canada ArchivedTable: 62-554-XDescription:
The Family food expenditure in Canada publication provides detailed and summary information on food expenditure by household. Food items purchased from stores and meals bought from restaurants are presented separately. Summary food items purchased from stores include: fresh and frozen meat and poultry; fish; dairy products - milk, cheese; eggs; bakery and cereal products - bread, cookies, cakes; pasta products; breakfast cereal; fresh fruit; other prepared fruit; fresh vegetables; other prepared vegetables; condiments; sugar; coffee and tea; fats and oils; other prepared foods - soups, potato chips; and non-alcoholic beverages. Also, total food purchased from stores is shown by type of store - supermarkets, food specialty stores, convenience stores and other stores. Meals purchased from restaurants are presented as follows: breakfasts, lunches, dinners and between-meals food. Food expenditures are profiled by size and type of household and other household characteristics. Discussions of food purchasing patterns over the years, who goes grocery shopping, who eats out and who buys diary products are included. Information about household income is presented by income group and income quintile.
Summary and detailed information for the provinces (excluding the North West Territories and the Yukon Territory), selected metropolitan areas (including Whitehorse and Yellowknife) and size of area of residence is presented. Detailed expenditure information and cross-classified tables for all levels of geography are available upon request.
Release date: 2003-02-21
Analysis (17)
Analysis (17) (10 to 20 of 17 results)
- Articles and reports: 11F0027M2010064Geography: CanadaDescription:
This paper estimates the implicit income generated by the home equity of working-age and retirement-age households. In so doing, it expands our understanding of Canadians' preparation for retirement by taking into account the services that homeowners realize as a result of having invested in their homes. On the basis of both the 2006 Survey of Household Spending and the 2006 Census of Population, we find that housing services make an important contribution to household income. When estimates of the services provided by the equity invested in housing are added to traditional estimates of income, the income of retirement-age households is increased by 9% to 12% for those in the 60-to-69 age class and by 12% to 15% for those in the 70-plus age class. In turn, this additional income reduces the difference in income between working-age and retirement-age households that own their own homes. According to the Survey of Household Spending, net incomes decline by about 45% between the peak household earning years and the 70-plus retirement-age class. This figure is reduced to 42% when the contribution of housing services is taken into account. The Census provides a similar picture: the gap in incomes is 38% when net income alone is considered and 35% when one accounts for housing services.
Release date: 2010-07-26 - Articles and reports: 75F0002M1992009Description:
There are many issues to consider when developing and conducting a survey. Length, complexity and timing of the survey are all factors that may influence potential respondents' likelihood to participate in a survey. One important issue that affects this decision is the extent to which a questionnaire appears to be an invasion of privacy. Information on income and finances is one type of information that many people are reluctant to share but that is important for policy and research purposes.
Collecting such information for the Survey of Consumer Finances (SCF) has proven difficult, and has resulted in higher than average non-response rate for a supplemental survey to the Labour Force Survey. Given the similarity between the SCF and an upcoming survey, the Survey of Labour and Income Dynamics (SLID), it is important to examine the reasons behind the SCF's higher non-response rate and obtain suggestions for increasing response rate and gaining commitment from respondents to the 6-year SLID.
Statistics Canada asked Price Waterhouse to conduct focus groups and in-depth interviews with respondents and non-respondents to the SCF. The objectives of these focus groups and in-depth interviews were to explore reasons for response and non-response, issues of privacy and confidentiality and understanding of the terms used in the survey, and to test reactions to the appearance of a draft SLID package.
Release date: 2008-10-21 - 13. Spending patterns in Canada and the U.S. ArchivedArticles and reports: 75-001-X200710913195Geography: CanadaDescription:
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.
Release date: 2007-12-19 - Articles and reports: 88-003-X20070019624Geography: CanadaDescription:
The Internet has changed the way many Canadians conduct their everyday activities, from viewing weather, news and sports to banking and paying bills. It has also changed the way many shop. In 2005, Canadians placed almost 50 million online orders valued at $7.9 billion. However, many of these orders were made by a relatively small group of people. In fact, Canada's top online spenders represented fewer than 7% of adult Canadians and accounted for three-quarters of total online expenditures to consumers. Who are these Canadians and what are they buying?
Release date: 2007-05-10 - 15. Does inflation vary with income? ArchivedArticles and reports: 62-001-X20050068081Description:
This study examined the inflation rate experienced by two sets of households - the 20% with the lowest incomes and the 20% with the highest incomes - between January 1992 and February 2004. The Consumer Price Index tracked closely the inflation experienced by these two groups.
Release date: 2005-07-22 - 16. Does Inflation Vary with Income? ArchivedArticles and reports: 11-621-M2005030Geography: Canada, Province or territoryDescription:
This study examines the inflation rate experienced by lower- and higher-income households from 1992 to 2004. The reasons for Canada-wide and provincial-level differences in inflation are examined.
Release date: 2005-06-17 - 17. Family income inequality, 1970-1995 ArchivedArticles and reports: 75-001-X19980044039Geography: CanadaDescription:
Income inequality among families increased between 1970 and 1995 as a result of the recessions of the early eighties and nineties. This article looks at the extend of, and changes in, family income inequality over the period. It also demonstrates the role of government transfer payments and personal income taxes in reducing inequality.
Release date: 1998-12-09
Reference (20)
Reference (20) (0 to 10 of 20 results)
- Surveys and statistical programs – Documentation: 62F0026M2023001Description: This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.Release date: 2023-10-18
- Surveys and statistical programs – Documentation: 62F0026M2021001Description: This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.Release date: 2021-01-22
- Surveys and statistical programs – Documentation: 62F0026M2018001Description:
This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.
Release date: 2018-12-12 - Surveys and statistical programs – Documentation: 62F0026M2017002Description:
This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.
Release date: 2017-12-13 - Surveys and statistical programs – Documentation: 62F0026M2017001Description:
This report describes the quality indicators produced for the 2015 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.
Release date: 2017-01-27 - Surveys and statistical programs – Documentation: 62F0026M2016001Description:
This report describes the quality indicators produced for the 2014 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.
Release date: 2016-02-12 - Surveys and statistical programs – Documentation: 62F0026M2015001Description:
This report describes the quality indicators produced for the 2013 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.
Release date: 2015-01-22 - Surveys and statistical programs – Documentation: 62F0026M2014001Geography: Province or territoryDescription:
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.
Release date: 2014-01-29 - Surveys and statistical programs – Documentation: 62F0026M2013001Geography: Province or territoryDescription:
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.
Release date: 2013-01-30 - Notices and consultations: 62F0026M2012001Geography: Province or territoryDescription:
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.
Release date: 2012-04-25
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