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Description:

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.

Description:

Survey of Household Spending (SHS), dwelling characteristics and household equipment, percentage of households reporting and estimated number of households reporting, 2012.

Description:

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.

Description: This publication brings together and analyzes a wide range of labour and income data. Topics include youth in the labour market, pensions and retirement, work arrangements, education and training, and trends in family income. One section highlights new products, surveys, research projects and conferences. Another section uses charts and text to describe a variety of subjects related to labour and income. Each winter print issue contains an index of all published articles.

To find the latest updates on labour market and household issues such as gambling, minimum wage, retirement and unionization, please visit: Topics of interest on labour and income.

Description:

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.

Description:

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.

Description:

About 1 in 6 Canadian workers is self-employed. Does taking on the responsibility of a business result in greater earning potential? More wealth? Affect spending patterns? This paper uses a variety of data sources to examine how the self-employed differ from paid employees in income level and dispersion, wealth, retirement preparation and spending.

Description:

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

Description:

This fact sheet offers brief outlines of spending on postsecondary education, based on data from three Statistics Canada data sources: the Survey of Household Spending (SHS); the Tuition and Living Accommodation Costs for Full-time Students at Canadian Degree-granting Institutions (TLAC) survey; and the Financial Information of Universities and Colleges (FIUC) survey. Information on household spending on postsecondary tuition, on university tuition fees paid by students, and on student fees as a proportion of university revenues is presented for Canada and the provinces.

Description:

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.

Description:

This survey provides expenditure data by households, as well as the household budgets for the year, including all expenditures, income, and changes in assets and debts. Other topics examined in this document include composition of household; characteristics of dwelling; household management; shelter expenses; furnishings and equipment; food and alcohol; clothing; medical and health care; travel and transportation; recreation and education; tobacco products; and miscellaneous expenses.

Description:

While spending on prescription drugs still constitutes less than 1% of the overall household budget, the average expenditure rose 71% between 1992 and 2002. Lack of universal coverage for prescription drugs could adversely affect seniors on fixed incomes and people with specific medical conditions. Spending is most affected by province of residence.

Description:

As households age and labour market attachment diminishes, income, savings and wealth generally become less. Households also become smaller as adult children leave or a spouse dies. And spending patterns change. Using 'similar' households, this study looks at changes in spending patterns for households headed by persons aged 55 or older in 1982 and 2003.

Description:

The national savings rate has been oscillating around historic lows for several years, prompting concerns about the resilience of a macro-level economy increasingly reliant on debt-financed consumer spending. Many are also troubled by the balance sheets of households, where ever-expanding debt has rapidly outpaced earnings growth. The resulting record-high, debt-to-income ratios leave households more vulnerable to interruptions in income. This article examines changes in saving and spending patterns over 20 years, and differences in the characteristics and spending patterns of saving versus spending households.

Description:

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.

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This study examines the inflation rate experienced by seniors-only households from 1992 to 2004. Their inflation rate is compared with that of all other households and the official Consumer Price Index.

Description:

This paper examines the effects of changes in consumer spending and asset holdings over the last 20 years on the economic landscape.

Description:

This article examines retail sales and household expenditures data from 1997 to 2002 to show the impact of homebuyers on furniture and appliance spending.

Description:

This report describes the quality indicators produced for the 2006 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.

Description:

This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

Description:

This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians)

Description: This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

Description:

This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

Description:

This guide presents information of interest to users of data from the Survey of Household Spending, which gathers information on the spending habits, dwelling characteristics and household equipment of Canadian households. The survey covers private households in the 10 provinces. (The territories are surveyed every second year, starting in 1999.)

This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. One section describes the various statistics that can be created using expenditure data (e.g., budget share, market share, aggregates and medians).

Description:

This report describes the quality indicators produced for the 2003 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.

Description:

This discussion paper reviews the previous research into the subject of presenting historical time series and comparisons in constant dollars for the Survey of Household Spending (SHS), and its predecessor the Family Expenditure Survey (FAMEX). It examines two principal methods of converting spending data into constant dollars. The purpose of this discussion paper is to show interested parties how the two methods differ in complexity of implementation and interpretation.

Description:

This document will provide an overview of the differences between the old and the new weighting methodologies and the effect of the new weighting system on estimations.

Description:

This paper provides some guidance to users on the use of medians and also gives some examples of situations when it can be a more appropriate measure than the average.