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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.

The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.

The FES, like all surveys, is subject to error despite all the precautions taken at the various stages of the survey to control them. Although there is no exhaustive measure of a survey's data quality, certain quality measures taken at various stages of the survey can provide the user with relevant information to ensure sound data interpretation.

This paper presents, for the 2001 FES, the following quality indicators the coefficients of variation, the non-response rates, the vacancy rates, the slippage rates, the imputation rates as well the impacts of imputation on the estimates.

The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.

This paper presents a detailed description of the methodology of this survey. First, we briefly described the sample design which is mainly based on the plan of the Labour Force Survey. Then we present the methods of collection, data processing, weighting, and variance estimation, as well as the suppression of unreliable data in the tables of estimates.

This survey provides household estimates of food expenditures and quantities. Throughout the year members of selected households were asked to record expenditures on food and beverages for a period of two weeks. Topics include: household characteristics, food purchased from stores, food purchased from restaurants, food purchased locally and on day trips, food purchased while on trips overnight or longer, type of store and type of restaurant.

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.

This survey provides household estimates of food expenditures and quantities. Throughout the year members of selected households were asked to record expenditures on food and beverages for a period of two weeks. Topics include: household characteristics, food purchased from stores, food purchased from restaurants, food purchased locally and on day trips, food purchased while on trips overnight or longer, type of store and type of restaurant.

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.

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.

The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.

The FES, like all surveys, is subject to error despite all the precautions taken at the various stages of the survey to control them. Although there is no exhaustive measure of a survey's data quality, certain quality measures taken at various stages of the survey can provide the user with relevant information to ensure sound data interpretation.

This paper presents, for the 2001 FES, the following quality indicators the coefficients of variation, the non-response rates, the vacancy rates, the slippage rates, the imputation rates as well the impacts of imputation on the estimates.

The Food Expenditure Survey (FES) is a periodic survey collecting data from households on food spending habits. Data are collected mainly using weekly diaries of purchases that the respondents must fill in daily during two consecutive weeks.

This paper presents a detailed description of the methodology of this survey. First, we briefly described the sample design which is mainly based on the plan of the Labour Force Survey. Then we present the methods of collection, data processing, weighting, and variance estimation, as well as the suppression of unreliable data in the tables of estimates.