Survey of Service Industries: Periodical Publishers (PERI)

Detailed information for 2023

Status:

Active

Frequency:

Every 2 years

Record number:

5091

This survey collects the financial and operating data needed to develop national and regional economic policies and programs.

Description

This survey collects data required to produce economic statistics for the periodical publishing industry in Canada.

Statistical activity

The survey is administered as part of the Integrated Business Statistics Program (IBSP). The IBSP has been designed to integrate approximately 200 separate business surveys into a single master survey program. The IBSP aims at collecting industry and product detail at the provincial level while minimizing overlap between different survey questionnaires. The redesigned business survey questionnaires have a consistent look, structure, and content.

The integrated 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. The combined results produce more coherent and accurate statistics on the economy.

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
  • Culture and leisure
  • Financial statements and performance
  • Information and culture
  • Publishing

Data sources and methodology

Target population

The target population consists of all statistical establishments classified as Periodical Publishers (NAICS 511120) according to the North American Industry Classification System (NAICS) 2017 during the reference year.

The observed population consists of all establishments classified to the Periodical Publishers industry (NAICS 511120) according to the North American Industry Classification System (NAICS) 2017 found on Statistics Canada Business Register as of the last day of the reference year (including establishments active for a part of the reference year).

Instrument design

The survey questionnaire contains generic modules designed to cover several service industries. These include revenue and expense modules.

In order to reduce response burden, most of the firms receive a characteristic questionnaire (shortened version) that is industry-specific which does not include the revenue and expense modules. This shortened version is designed to collect both financial and non-financial characteristics, while revenue and expense data are extracted from administrative files.

Sampling

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

The Business Register is a repository of information reflecting the Canadian business population and exists primarily for the purpose of supplying frames for all economic surveys in Statistics Canada. It is designed to provide a means of coordinating the coverage of business surveys and of achieving consistent classification of statistical reporting units. It also serves as a data source for the compilation of business demographic information.

The major sources of information for the Business Register are updates from the Statistics Canada survey program and from Canada Revenue Agency's (CRA) Business Number account files. This CRA administrative data source allows for the creation of a universe of all business entities.

The data provided in our products reflects counts of statistical locations by industrial activity (North American Industry Classification System), geography codes, and employment size ranges.

SAMPLING UNIT
The sampling unit is the enterprise, as defined on the Business Register.

STRATIFICATION METHOD
Prior to the selection of a random sample, enterprises are classified into homogeneous groups (i.e., groups with the same NAICS codes and same geography) based on the characteristics of their establishments. Then, each group is divided into sub-groups (i.e. small, medium, large) called strata based on the annual revenue of the enterprise.

SAMPLING AND SUB-SAMPLING
Following stratification, a sample, of a predetermined size, is allocated into each stratum, with the objective of optimizing the overall quality of the survey while respecting the available resources. The sample allocation can result in two kinds of strata: take-all strata where all units are sampled with certainty, and take-some strata where a sample of units are randomly selected.

The total sample size for this survey is approximately 350 enterprises.

Data sources

Data collection for this reference period: 2024-03-13 to 2024-07-17

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

Data are collected primarily through electronic questionnaire, while providing respondents with the option of receiving a paper questionnaire, replying by telephone interview or using other electronic filing methods. Follow-up for non-response and for data validation is conducted by email, telephone or fax.

Data integration combines data from multiple data sources including survey data collected from respondents, administrative data from the Canadian revenue agency or other forms of auxiliary data when applicable. During the data integration process, data are imported, transformed, validated, aggregated and linked from the different data source providers into the formats, structures and levels required for IBSP processing. Administrative data are used in a data replacement strategy for a large number of financial variables for most small and medium enterprises and a select group of large enterprises to avoid collection of these variables. Administrative data are also used as an auxiliary source of data for editing and imputation when respondent data is not available.

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

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