Annual Survey of Personal Services

Detailed information for 2003

Status:

Inactive

Frequency:

Annual

Record number:

2424

The survey objective is the collection and dissemination of data necessary for the statistical analysis of personal and laundry services industries.

Data release - March 18, 2005

Description

The survey objective is the collection and dissemination of data necessary for the statistical analysis of personal and laundry services industries.

The information from the survey can be used by businesses for market analysis, by trade associations to study performance and other characteristics of their industries, by government to develop national and regional economics policies, and by other users involved in research and policy making.

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

Subjects

  • Business, consumer and property services
  • Business performance and ownership
  • Financial statements and performance
  • Personal services

Data sources and methodology

Target population

The target population consists of all establishments classified to the Personal Services industry (NAICS 812) according to the North American Industry Classification System (NAICS) during the reference year. This industry comprises establishments primarily engaged in Personal Services

Instrument design

The survey questionnaire contains generic modules designed to cover several service industries. These include revenue and expense modules. In order to reduce respondent burden, revenue and expense data are extracted from administrative files for smaller firms.

Sampling

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

The survey design was based on probability sampling and only covered the portion of the frame subject to direct data collection.

The target population consists of all statistical establishments (sometimes referred to as firms or units) classified as Personal and Laundry Services according to the North American Industry Classification System (NAICS) during the reference year observed.

The basic objective of the survey is to produce estimates for the whole industry - incorporated and unincorporated businesses. The data come from two different sources: a sample of all businesses with revenue above or equal to a certain threshold (Note: the threshold varies between surveys and sometimes between provinces in the same survey) and administrative data for businesses with revenue below the specified threshold. It should be noted that only financial information is obtained from administrative sources; e.g., revenue, expenses such as depreciation and salaries, wages and benefits. Characteristics such as client base and revenue by type of service are collected only for surveyed establishments.

The frame is the list of establishments from which the portion eligible for sampling is determined and the sample is taken. The frame provides basic information about each firm including: address, industry classification and information from administrative data sources. The frame is maintained by Statistics Canada's Business Register and is updated using administrative data.

Prior to the selection of a random sample, establishments are classified into homogeneous groups (i.e., groups with the same NAICS codes and same geography (province/territory)). Quality requirements are targeted, and then each group is divided into sub-groups called strata: take-all, must-take, and take-some.

The take-all stratum represents the largest firms in terms of performance (based on revenue) in an industry. The must-take stratum is comprised of units selected on the basis of complex structure characteristics (multi-establishment, multi-legal, multi-NAICS, or multi-province enterprises). All take-all and must-take firms are selected to the sample. Units in the take-some strata are subject to simple random sampling.

The sample size for reference year 2003 was 1605 collection entities.

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.

Follow-up procedures are applied when a questionnaire has not been received after a pre-specified period of time.

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

Error detection

Data are examined for inconsistencies and errors using automated edits coupled with analytical review. Several checks are performed on the collected data. These checks look for internal consistency such as: section totals must be equal to the components; if employees are reported, wages and salaries must be greater than zero; the main source of income must be consistent with the assigned NAICS code.

Imputation

Partial records were imputed to make them complete. Data for non-respondents were imputed using either donor imputation, administrative data or historical data.

Estimation

As part of the estimation process survey data are weighted and combined with administrative data to produce final industry estimates.

Quality evaluation

Prior to dissemination, combined survey results are analyzed for comparability; in general, this includes a detailed review of individual responses (especially for the largest companies), general economic conditions, historic trends, and comparisons with other data sources.

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

Of the sampled units contributing to the estimate the weighted response rate was 70.5%.

The sample of Personal Services represents 89.2% of the estimated industry revenues. The remainder of the estimate was derived from administrative data sources. 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

The CV for this survey for reference year 2003 ranged from "acceptable" to "excellent" for revenue, expenses and wages and salaries variables.

Documentation

Report a problem on this page

Is something not working? Is there information outdated? Can't find what you're looking for?

Please contact us and let us know how we can help you.

Privacy notice

Date modified: