Annual Survey of Service Industries: Specialized Design
Detailed information for 2001
Status:
Active
Frequency:
Annual
Record number:
4719
The survey collects financial and operating data needed to produce statistics for the Canadian specialized design industry.
Data release - May 15, 2003
Description
This survey collects the financial and operating data needed to produce statistics on the Specialized Design Industry in Canada. 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.
The data were produced as part of Statistics Canada's Unified Enterprise Survey (UES), the main purpose of which is to ensure Statistics Canada receives consistent and integrated data from many types of surveys and sizes of businesses with enough detail to produce accurate provincial statistics.
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: November to August
Subjects
- Business, consumer and property services
- Business performance and ownership
- Financial statements and performance
- Professional, scientific and technical services
Data sources and methodology
Target population
The target population consists of all statistical establishments (sometimes referred to as firms or units) classified as Specialized Design according to the North American Industry Classification System during the reference year.
Instrument design
The survey questionnaires comprise generic modules that have been designed to cover several service industries. These modules include revenues, expenses, and employment, as well as an industry-specific module designed to ask for financial and non-financial characteristics that pertain specifically to this industry.
In order to reduce respondent burden, smaller firms receive a characteristics questionnaire (shortened version) which does not include the revenue and expense modules. For smaller firms, revenue and expense data are extracted from administrative files.
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 specialized design 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 2001 was 1,362 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.
View the Questionnaire(s) and reporting guide(s) .
Error detection
Data are examined for inconsistencies and errors using automated edits coupled with analytical review. Where possible, data will be verified using alternate sources.
Imputation
Partial records are imputed to make them complete. Data for non-respondents are imputed using 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 overall quality; in general, this includes a detailed review of individual responses (especially for the largest companies), an assessment of the general economic conditions portrayed by the data, 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 65% .
The sample of specialized design services represents 90% 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 2001 has ranged from "Acceptable" to "Excellent" for revenue, expenses and wages and salaries variables.
A table attached as "Quality Measures Summary" shows the CV's for Total Revenue, by NAICS, by Province. This table can be accessed below.
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