Monthly Railway Carloadings Survey
Detailed information for September 2022
This survey collects data from common carrier railways operating in Canada which are essential for the analysis of the Railway Transport Industry and the assessment of its contribution to the Canadian economy. These data provide input into the Canadian System of National Accounts for the calculation of the gross domestic product and are used by various government departments to develop policy and to monitor the industry.
Data release - November 25, 2022
The survey presents essential data for timely analysis of the Rail Transport Industry and its contribution to the Canadian economy.
The data are used by Statistics Canada as input to the System of National Accounts, by Transport Canada and other federal and provincial departments, by transportation companies, consulting firms, universities and foreign governments. The information is used for the analysis of transportation activity, for marketing and economic studies, as well as industry performance measures.
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.
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: Month
- Transportation by rail
Data sources and methodology
Common carrier railways operating in Canada and providing for-hire freight service.
The questionnaire for this survey has remained stable over the years, although the format and wording have been modified to maintain its relevance based on feedback from survey respondents and data users.
This is a sample survey with a cross-sectional design. The sampling design of this survey is a census of carrier railways selected from a panel with a monthly follow-up.
Responding to this survey is mandatory.
Data are collected directly from survey respondents.
Approximately 21 rail carriers report each month on their total intermodal and non-intermodal traffic of the previous month.
Non-intermodal operations involve the movement of goods on the rail network only, excluding movements on switch tracks. They include goods transported by rail cars on ferries or barges when these are connected to railway tracks and form an integral part of the line route. The carriers report the number of cars and tonnes by commodity of revenue-generating freight that they have loaded in Canada
Intermodal operations involve more than one mode of transportation. Goods are carried in a highway trailer or freight container that is transferred between a rail car and some other mode of transportation, usually a truck or a ship. The carriers report the number of cars and tonnes by commodity of revenue-generating freight that they have loaded in Canada. For intermodal freight, the carriers report the number of units and tonnes for containers-on-flat-cars and trailers-on-flat-cars, with no commodity specification. The carriers also report the total tonnage of revenue freight received from United States connections.
The data are collected via electronic questionnaires that are submitted by respondents eight working days after the reference month. These questionnaires are captured and edited and the data are then aggregated to produce tables for all of Canada and the Eastern and Western divisions of Canada. For statistical purposes, cargo loadings from Thunder Bay, Ontario, to the Pacific Coast are classified to the western division, while loadings from Armstrong, Ontario, to the Atlantic Coast are classified to the eastern division.
View the Questionnaire(s) and reporting guide(s) .
At the micro level, several checks are performed on the data to verify internal consistency and identify extreme values. At the macro level, the data are subjected to a detailed quality review process, including a comparative analysis to prior year. Material errors are thereby identified and corrected.
No imputation is done for this statistical program.
This methodology type does not apply to this statistical program.
The combined survey results are analyzed before dissemination. In general, this includes a detailed review of the individual responses, a review of general economic conditions as well as historic trends and comparisons with other data sources.
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 has been slightly above 95% for the last several years.