Annual Survey of Service Industries: Real Estate Agents, Brokers, Appraisers and Other Real Estate Activities

Detailed information for 1999

Status:

Active

Frequency:

Annual

Record number:

4706

These data are aggregated with information from other sources to produce official estimates of national and provincial economic production in Canada. The estimates are used by government for national and regional programs and policy planning and by the private sector for industry performance measurement and market development.

Data release - December 20, 2001

Description

These data are aggregated with information from other sources to produce official estimates of national and provincial economic production in Canada. The estimates are used by government for national and regional programs and policy planning and by the private sector for industry performance measurement and market development.

Statistical activity

The survey is administered as part of the Unified Enterprise Survey program (UES). The UES program has been designed to integrate, gradually over time, the approximately 200 separate business surveys into a single master survey program. The UES aims at collecting more industry and product detail at the provincial level than was previously possible while avoiding overlap between different survey questionnaires. The redesigned business survey questionnaires have a consistent look, structure and content. The unified approach makes reporting easier for firms operating in different industries because they can provide similar information for each branch operation. This way they avoid having to respond to questionnaires that differ for each industry in terms of format, wording and even concepts.

This survey is part of the Service Industries Program. The survey data gathered are used to compile aggregate statistics for over thirty service industry groupings. Financial data, including revenue, expense and profit statistics are available for all of the surveys in the program. In addition, many compile and disseminate industry-specific information.

Reference period: Calendar year

Collection period: From March to August

Subjects

  • Business, consumer and property services
  • Business performance and ownership
  • Financial statements and performance
  • Rental and leasing and real estate

Data sources and methodology

Target population

The target population consists of all statistical establishments (sometimes referred to as firms or units) classified as Real Estate Agents, Brokers, Appraisers and Other Real Estate Activities according to the North American Industry Classification System (NAICS) during the reference year.

Sampling

This is a sample survey with a cross-sectional design.

Data sources

Responding to this survey is mandatory.

Data are collected directly from survey respondents and extracted from administrative files.

Data are collected through a mail-out/mail-back process, while providing respondents with the option of telephone or other electronic filing methods. The statistical establishment is used as the sampling unit, but selected establishments belonging to the same company, the same industry, and the same province are aggregated to create a collection entity. This reduces respondent burden and simplifies collection. Therefore, companies with production in more than one province are mailed one questionnaire per province and instructed to report for all Canadian operations.

View the Questionnaire(s) and reporting guide(s).

Imputation

Several checks are performed on the collected data to verify internal consistency and identify extreme values. Where information is missing, imputation is performed using either a "nearest neighbour" procedure (donor imputation), using historical data where available or finally, using administrative data as a proxy for reported data.

Estimation

As part of the production of final numbers, data for companies operating in more than one province or territory are allocated to the provincial level. Administrative data are used to estimate for the portion of the industry that was excluded from survey activity (i.e. small firms whose revenues fell below cut-off thresholds). Sampled data are then weighted to produce estimates representative of the target population.

Disclosure control

Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.

Data accuracy

While Statistics Canada uses a variety of methods to ensure high standards throughout all collection and processing operations the results are always subject to a certain degree of error.

- Sampling errors can occur due to the fact that the estimates are derived from a sample of the population as opposed to the entire population. These errors depend on factors such as sample size, sampling design and the method of estimation.

- Non-sampling errors may occur for many reasons that are unrelated to sampling. Non-response and misclassification of the business (out of scope) are the most common factors. Some examples of other non-sampling errors are incorrect or incomplete information from respondents, differences in interpretation of the questions, errors in capturing, coding and processing of reported data. Every effort was made to minimize the non-sampling error of omission, duplication, reporting and processing.

Since this survey was based on probability sampling the potential for error caused by sampling can be measured. A standard measure of sampling error is the coefficient of variation (CV). The qualities of CVs are rated as follows:

. Excellent 0.01% to 4.99%
. Very good 5.00% to 9.99%
. Good 10.00% to 14.99%
. Acceptable 15.00% to 24.99%
. Use with caution 25.00% to 34.99%
. Unreliable 35.00% or higher

A table attached as "Quality Measures Summary" shows the CVs for Total Revenue, by NAICS, by Province. This table can be accessed by the hyperlink under the title Documentation below.

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