Air Passenger Origin and Destination, Domestic Journeys
Detailed information for all quarters of 2009
This survey provides estimates of the number of passengers traveling on scheduled domestic commercial flights by directional origin and destination.
Data release - Data releases are suspended, until further notice, due to confidentiality restrictions.
This survey provides estimates of the number of passengers traveling on scheduled domestic commercial flights by directional origin and destination. The data are used by Transport Canada and the Canadian Transportation Agency for evaluating competition in the industry, developing policies for the exchange of air services with foreign countries, for airport planning and market research. The information is also used by individual carriers for evaluating market trends, measuring their own growth and planning new services, as well as by Statistics Canada as input to the Provincial accounts.
This statistical activity is part of a set of surveys measuring various aspects of activities related to the movement of people and goods. These surveys are grouped as follows:
Transportation by air includes records related to the movement of aircraft, passengers and cargo by air for both Canadian and foreign air carriers operating in Canada as well as the financial and operating characteristics of Canadian air carriers. These data are produced by the Aviation Statistics Centre.
Transportation by rail includes records relating to rail transportation in Canada, and between the United States and Canada.
Transportation by road includes records relating to all road transport in Canada. In addition to surveying carriers and owners of registered motor vehicles, certain programs rely on aggregation of provincial and territorial administrative records.
Reference period: Quarter
- Domestic travel
- Transportation by air
- Travel and tourism
Data sources and methodology
The universe covers all Canadian air carriers assigned to reporting Level I and Level II that, in each of the two years immediately preceding the reporting year, enplaned 300,000 or more scheduled revenue passengers using fixed wing aircraft.
The collection instrument has remained stable over the years, although the format and wording has been modified to maintain its relevance based on feedback from survey respondents and data users. The collection instrument collects data electronically on revenue passenger trips made in whole or in part on domestic and/or international scheduled flights. Data on airports, operating carrier, advertised carrier and fare basis code are also collected.
This is a sample survey with a cross-sectional design.
In most cases, the survey data are drawn from a 10% continuous systematic sample of flight coupons pertaining to scheduled air transportation provided by the participating Canadian air carriers. The air carriers are instructed to report data only from those flight coupons where they are the first participating carrier in the flight itinerary shown on the coupon. The air carriers are responsible for the selection and the capture of the coupons.
Responding to this survey is mandatory.
Data are collected directly from survey respondents.
Carriers must report information on domestic trips if (i) they operated one or more segments of the itineraries and (ii) no other carrier participating in the survey operated any preceding segments. Reporting is based on information obtained from lifted flight coupons (or their electronic equivalent). The complete ticket itinerary is recorded as one entry for each trip, showing the routing from the initial origin to the final ticket destination and including, in sequence, each point of intraline or interline transfer, the carrier (both operating and advertised for code shared segments) and the fare basis code on each flight coupon stage as well as the total value of the ticket in Canadian dollars.
Statistics on domestic or intra Canada traffic have been compiled using the Directional Origin and Destination (DOD) concept. This approach necessitates breaking return, symmetrical, circle, and open-jaw itineraries into one-way single direction journeys. As a general rule itineraries are broken at the farthest point from the origin. For example, an itinerary reported as Ottawa-Toronto-Ottawa would be broken at Toronto into two separate directional journeys (Ottawa-Toronto and Toronto-Ottawa).
Similarly, an itinerary reported as Montréal-Toronto-Vancouver-Calgary-Toronto-Montréal would be broken at Vancouver into two separate journeys (Montréal-Vancouver and Vancouver-Montréal). Domestic portions are derived from international journeys containing two or more adjacent Canadian points. The first and last Canadian points delimit the domestic portion. Examples, with the Domestic Portion in quotes are: "Montréal-Toronto-Vancouver"-Tokyo, New York-"Toronto-Vancouver"-Tokyo, and "Ottawa-Toronto"-New York.
View the Questionnaire(s) and reporting guide(s) .
Errors may occur at almost every phase of a survey's operations: instructions for lifting of flight coupons by the participating carriers may be misunderstood; data observed on flight coupons may be illegible; and errors may be introduced in the processing of the data. In all these cases, systems are in place to detect these errors and appropriate actions, including follow-up with the respondents, are undertaken.
This methodology does not apply.
When a 10% continuous systematic sample is drawn from flight coupons, the data collected for the survey are systematically multiplied by 10 to produce the final estimates.
The evaluation of the quality of the Air Passenger Origin and Destination - Domestic Report includes the comparison with results of other Aviation surveys conducted in the Aviation Statistics Centre. For each carrier, flight segments and number of passengers are compared to similar statistics collected from the Airport Activity Survey (survey ID 2701). The evaluation of data quality also includes comparison to data available from other sources, including the Official Airline Guides (OAG).
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
Quarterly estimates are provided for the most current quarter available. The data for the previous quarter are revised if necessary. Seasonal adjustments are not made to the data.
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.
Non-sampling error is not related to sampling and 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.
Sampling error occurs because population estimates are derived from a sample of the population rather than the entire population. Sampling error depends on factors such as sample size, sampling design, and the method of estimation. An important property of probability sampling is that sampling error can be computed from the sample itself by using a statistical measure called the coefficient of variation (CV). The assumption is that over repeated surveys, the relative difference between a sample estimate and the estimate that would have been obtained from an enumeration of all units in the universe would be less than twice the CV, 95 times out of 100. The range of acceptable data values yielded by a sample is called a confidence interval. Confidence intervals can be constructed around the estimate using the CV. First, we calculate the standard error by multiplying the sample estimate by the CV. The sample estimate plus or minus twice the standard error is then referred to as a 95% confidence interval.
It is estimated that the sampling error will be at 12.6% for estimates of 1,000 total inbound and outbound passengers; at 4.1% for estimates of 10,000 total inbound and outbound passengers and at 1.4% for estimates of 100,000 inbound and outbound passengers.