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This report describes the quality indicators produced for the 2001 Survey of Household Spending. It covers the usual quality indicators that help users interpret the data, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates.

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.

This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. 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 ten provinces. (The three 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).

This document provides a detailed description of the methodology of the Survey of Household Spending. Topics covered include: target population; sample design; data collection; data processing; weighting and estimation; estimation of sampling error; and data suppression and confidentiality.

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.

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.

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.

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.

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.

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.

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

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.