Keyword search

Description:

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.

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:

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).

Description:

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.

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:

Studies of pre- and post-retirement annual income have focused on the extent to which income falls at this crucial stage in life. Although these studies vary in scope and intent, the overall consensus is that the Canadian retirement income system provides income replacement rates that are in the excess of 60% to 70% for a plurality of Canadians, especially for those who had low incomes during their prime working years. However, little has been published on the extent to which retirees maintain their same levels of consumption. Using data from the Survey of Family Expenditures (FAMEX) and from the Survey of Household Spending (SHS), this study develops a synthetic cohort approach to determine how the consumption patterns of households headed by individuals in their late 40s (in the early 1980s) differ from those of a group of households headed by individuals in their early 70s (in the late 2000s). It finds that, even though the nature of consumption changes over time, the overall levels of consumption "per adult" do not decline by substantial amounts among Canadians as they age.

Description:

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.

Description:

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

Description:

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.

Description:

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.

Description:

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.

Description:

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.

Description:

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.

Description:

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.

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:

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 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:

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 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 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.

Description:

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.

Description:

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.

Description:

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.