Canada

Title: Survey of Household Spending 2002

GENERAL INFORMATION AND BASIC DEFINITIONS

1. Background

Further information is available from Statistics Canada of Ottawa, Ontario Canada, KIA 0T6, phone: 613-951-9482, fax: 613-951-0085, e-mail: sylvie.michaud@statcan.ca.
Data have been collected by household survey since 1947. 1

2. Purpose and coverage

The following purposes are considered to be very important or of some importance:

Geographic coverage: National with the following geographic areas excluded: the territories in Canada are included every second year only. .

Population coverage:
The following types of household are included in the data collection:
The following types of household are excluded in the data collection:

Units:
Dwelling units are used in the sample selection and are characterised by:2 2
Data are recorded for the household unit which is characterised by:

Unit members: Usual residents temporarily living away from the dwelling are included, if away continuously for less than 6 months. Visitors (not usual residents) temporarily living in the dwelling are not included as unit members. Domestic staff living in same dwelling/compound are included in the unit. Renters living in same dwelling/compound are included in the unit. Boarders living in same dwelling/compound are included in the unit.

Head of unit:
The concept of reference person is used in this survey and is characterised by:

3. Reference periods

The time period to which income and/or expenditure statistics refer when released/published is from 01/02 to 12/02. These data are collected in the period from 01/03 to 03/03. This survey is conducted annually. The statistics are published annually.

SURVEY METHODOLOGY

4. Sample design

The Primary, Secondary and Ultimate Sampling Units are, none and dwelling respectively.3

Stratification:
Areas/districts were stratified using the following criteria:

The sampling frames for the Primary Sampling Unit (PSU) and Ultimate Sampling Unit (USU) were the list of Census enumeration areas and a separate listing exercise respectively. Primary Sampling Units (PSU) were selected using probability proportional to size and Ultimate Sampling Units (USU) were selected using simple random sampling. The sample size was 25000 households or other units. The overall response rate for the survey was 70.5 percent. Errors/biases were minimized by using an updated sampling frame.

Enumeration procedure: Enumeration uses a single round survey design in which each reporting unit is enumerated only once. The sample is not divided into representative sub-samples.

DATA COLLECTION, CONCEPTS, DEFINITIONS AND CLASSIFICATIONS

5. Income data

Income data are collected. Receipts have to be regular and recurring to be considered as income. 4 Income excludes receipts resulting from the sale or reduction of assets and/or from incurring liabilities. Income includes receipts that are not currently available to the unit.5

The following receipts are collected separately:
The following receipts are collected but not separately:
The following receipts are not collected:
The following receipts are classified as income from paid employment:
The following receipts are classified as income from self-employment:
The following receipts are classified as property income:
The following receipts are classified as transfer income but not employment-related:
The following receipts are classified as other employment-related income:
The following receipts are classified as other income but not employment-related:
The following receipts are excluded due to measurement problems:
The following receipts are excluded for other reasons:
The reference period for:

Income data were collected separately for each person receiving income. Components of income for an individual were collected both possible . Negative values (business losses) were included when computing self-employment income.

6. Expenditure data

Data collection method:

Diaries are not used to collect expenditure data.

Interviews are used to collect expenditure data with the respondent completing the interview by a mix of recall and using documentation.

Data for the following expenditure items are collected by referring:
The following types of expenditure items are classified as 'Household consumption expenditure':
The following types of expenditure items are classified as 'Non-consumption household expenditure':
The following types of expenditure items are classified as 'Non-household expenditure':
The following types of expenditure items are classified as 'Investment/liability expenditure':
The following types of expenditure items are excluded due to measurement problems:
The following types of expenditure items are excluded for other reasons:
The following types of expenditure items are collected on an 'acquisitions' basis:
The following types of expenditure items are collected on a 'payments' basis:

Classification: A national classification that is not consistent with COICOP is used for classifying expenditure and has 258 separate categories at the finest level.

7. Other Data Collection Issues

The following other topics are covered:6

Households are requested to indicate whether durable goods are new or second-hand when their acquisition is recorded.7

Non-response: There is no substitution for non-response, whether by non-contact or by refusal.

Non-response is reduced using the following measures:8
Reporting errors are reduced using the following measures:

DATA PROCESSING, ANALYSIS AND DISSEMINATION

Answers are pre-coded on data collection forms to the extent possible.

The responses are edited by the following:

Extreme values are retained without change. Neither in-kind receipts nor consumption of own production is included in the estimates.

Treatment of owner-occupied housing: Values of owner-occupied housing are not included in the total income/expenditure estimates.

Treatment of selected groups/values in analysis: Some households/units are excluded from analysis because of incomplete response. Missing values are imputed always . Supplementary sources are used to adjust estimates for under- or over-reporting. No groups are excluded from data analysis.

Weighting:
Weighting factors are used to adjust for:9

Sampling errors: Sampling errors are computed for major aggregates and these sampling errors are published.

Tabulation and Analysis: Statistics are presented showing averages per year and statistics are analysed and tabulated for households only.

The following classifications are used for tabulation and analysis of expenditure statistics:

Documentation and Dissemination:
Published survey reports: Spending Patterns in Canada, 2002, June 2003
Published methodological information: User Guide and Methodology of the SHS, December 2003 and October 2003

Additional statistics (or special tables on request) are available for public use, free of charge (statistics Canada website) and with charges (custom table and CANSIM database). Separate tables are published for households with wages/salaries as main source of income. Files of unidentifiable unit data are available (or available on request) for public use, with charges.


(1) Comparable data since 1969, annual data since 1997. (2) If no street address available, then description is used eg. House with white siding, green roof... (3) Enumeration Area or group of EA in some stratum. Block in other stratum. (4) Tax credits or refunds received annually. Irregular money receipts go in 'Other Money Receipts'. (5) Interest accumulated in bank accounts, term deposits, saving bonds even if not received. (6) The Expenditure Survey only measures the change in savings and indebtedness. (7) For some items only (computer and vihicle). (8) Respondent relation to explain importance, confindentiality, users, users of data. (9) Reduce bias in income distribution; adjustment by number of person in wages and salaries classes.