Monthly Civil Aviation Survey
Detailed information for September 2022
This survey collects the main financial and operational data from the Canadian Level I air carriers.
Data release - November 24, 2022
This survey collects the main financial and operational data from the Canadian Level I air carriers. The data are used by Transport Canada and the Canadian Transportation Agency for measuring the growth and the performance of the airline industry. The information is also used by Statistics Canada as input to the Canadian System of National Accounts and by individual carriers for measuring company performance relative to their competitors. The information may also be used by Statistics Canada for other statistical and research purposes.
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.
Reference period: Month
Collection period: During the month following the reference month.
- Financial statements and performance
- Transportation by air
- Travel and tourism
Data sources and methodology
The universe of the Monthly Civil Aviation Survey consists of Canadian licensed carriers classified to level I. This includes every Canadian air carrier that, in the calendar year before the year in which information is provided, transported at least 2 million revenue passengers or at least 400 thousand tonnes of cargo.
The questionnaire collects information on main operating statistics (enplaned passengers, passenger-kilometres, available seat- kilometres and goods tonne-kilometres) and financial statistics (total operating revenue by type of service (scheduled and charter) and by sector (domestic, transborder and other international). An electronic questionnaire (EQ) replaced the paper questionnaire with the January 2017 reference month. The content of the monthly survey was reduced with the introduction of the EQ. In 2015, the proposed changes were reviewed by external (i.e. Transport Canada and the Canadian Transportation Agency, ) and internal (i.e. System of National Accounts, Industrial Organization and Finance Division) stakeholders. In 2016, Statistics Canada conducted a field test with respondents.
This survey is a census with a cross-sectional design.
Data are collected for all units of the target population, therefore no sampling is done. The carrier level and its main aviation activity are maintained on the Business Register for all Canadian licensed air companies. These specific fields are used to select carriers for each survey and to group them by homogeneous cells. Since the survey is a census, no sampling is done. So all units are selected with certainty. The final sample size is less than 10 companies.
Enterprises as a cluster of companies. So the company is the statistical unit, and the enterprise (as a cluster of companies) is the sampling unit.
Sampling strata are created using activity code (6 digits NAICS) and carrier level.
Responding to this survey is mandatory.
Data are collected directly from survey respondents.
Data are collected directly from survey respondents using an electronic questionnaire. In cases of incomplete or questionable data, the Aviation Statistics Centre contacts the air carrier by telephone or in writing to obtain missing data, corrections or explanations.
View the Questionnaire(s) and reporting guide(s) .
A lot of rules have been incorporated to the electronic questionnaire to make sure the submitted data are consistent. Inconsistencies will be corrected during the edit and imputation process. Other inconsistent data can be identified and corrected manually, after verification with the respondent.
Various manual methods for imputation, such as donor imputation, ratio analysis and trend analysis are utilized.
The survey uses the Generalized Estimation System (G-Est) developed at Statistics Canada to produce its domain estimates and quality indicators. It is a SAS based application for producing estimates for domains of a population based on a sample and auxiliary information. Estimates are computed at several levels of interest, based on the most recent classification information for the statistical entity and the survey reference period.
Population totals and population ratios of totals are calculated.
The Aviation Statistics Centre of Statistics Canada examines the data, verifies the results, does coherence analysis, studies changes across cycles, and compares the results with other sources/surveys.
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 for a specific industry or variable may be suppressed (along with that of a second industry or variable) if the number of enterprises in the population is too low.
Revisions and seasonal adjustment
Estimates are provided for the reference month and the previous 12 months are revised if necessary. The data are not seasonally adjusted.
While considerable effort is made to ensure high standards throughout all stages of collection and processing, the resulting estimates are inevitably subject to a certain degree of error. These errors can be broken down into two major types: non-sampling and sampling. Since the survey is a census of the target population, only non-sampling errors are possible.
Non-sampling errors may occur for many reasons. For example, non-response is an important source of non-sampling error. Population coverage, differences in the interpretation of questions, incorrect information from respondents, and mistakes in recording, coding and processing data are other examples of non-sampling errors.
Non-sampling errors are controlled through a careful design of the questionnaire, the use of a minimal number of simple concepts and consistency checks. Coverage error was minimized by using multiple sources to update the frame. Measures such as response rates are used as indicators of the possible extent of non-sampling errors.
The response rate for this survey is 100%.