Current reference years of the assessment values by province, 2019
Province | Assessment values |
---|---|
Nova Scotia | 2019 |
New Brunswick | 2018 |
Ontario | 2016 |
British Columbia | 2019 |
Province | Assessment values |
---|---|
Nova Scotia | 2019 |
New Brunswick | 2018 |
Ontario | 2016 |
British Columbia | 2019 |
Linkage | October 2020 Release | |||
---|---|---|---|---|
Linkage RateTablenote 1 | False Discovery RateTablenote 2 | False Negative error RateTablenote 3 | ||
% | ||||
Nova Scotia | Census (individuals) | 87.80 | < 0.5 | < 1.0 |
Tax & Social Insurance Registry (individuals) | 94.20 | < 0.5 | < 2.5 | |
Business Register (non-individuals) | 95.60 | < 0.5 | < 2.0 | |
New Brunswick | Census (individuals) | 84.90 | < 3.0 | < 3.0 |
Tax & Social Insurance Registry (individuals) | 92.30 | < 2.5 | < 6.0 | |
Business Register (non-individuals) | 95.30 | < 2.0 | < 2.0 | |
Ontario | Census (individuals) | 93.20 | < 1.0 | < 0.5 |
Tax & Social Insurance Registry (individuals) | 98.20 | < 0.5 | < 0.5 | |
Business Register (non-individuals) | 97.40 | < 2.0 | < 1.0 | |
British Columbia | Census (individuals) | 90.50 | < 1.0 | < 2.0 |
Tax & Social Insurance Registry (individuals) | 96.80 | < 1.0 | < 1.5 | |
Business Register (non-individuals) | 97.30 | < 6.0 | < 1.5 | |
|
Catalogue no. 892600012020001
ISSN 2562-1602
On behalf of Statistics Canada, I am pleased to present our report on fees for 2019–20.
The Service Fees Act provides a modern legislative framework that enables cost-effective delivery of services and, through better reporting to Parliament, improves transparency and oversight.
As part of the Innovation, Science and Economic Development portfolio, Statistics Canada collects fees set by contract from external clients for cost-recovered statistical services.
The Honourable Navdeep Bains, P.C., M.P.
Minister of Innovation, Science and Economic Development
This report, which is tabled under section 20 of the Service Fees Act and subsection 4.2.8 of the Directive on Charging and Special Financial Authorities, contains information about the fees that Statistics Canada had the authority to set in 2019–20.
Government of Canada departments may set fees for services, licences, permits, products, the use of facilities; for other authorizations of rights or privileges; or to recover, in whole or in part, costs incurred in relation to a regulatory scheme.
For reporting purposes, fees must be categorized under the following three fee setting mechanisms:
This report contains information about fees that are under Statistics Canada's authority, including any that are collected by another department. No fees under Statistics Canada's authority are set by act, regulation or fees notice. This report therefore only covers fees set by contract. It provides total revenue and costs only.
Although the fees charged by Statistics Canada under the Access to Information Act are subject to the Service Fees Act, they are not included in this report. Information on Statistics Canada's access to information fees for 2019–20 can be found in our access to information report, which is posted on our Corporate Management Reporting web page.
The following table presents the total revenue and total cost for all fees that Statistics Canada had the authority to set in 2019–20, by fee setting mechanism.
Fee setting mechanism | Revenue ($) | Cost ($) |
---|---|---|
Fees set by contract | 18,921,362 | 18,921,362 |
Fees set by market-rate, auction or both | 0 | 0 |
Total | 18,921,362 | 18,921,362 |
This project creates a LAD – DAD linkage key that allows users to link data on acute inpatient hospitalizations from the Discharge Abstract Database (DAD) with data on income and employment from the Longitudinal Administrative Databank (LAD). The resulting analytical files will allow for the study of relationships between income and hospitalizations such as the study of labour market and financial outcomes experienced by individuals and their families following hospitalizations resulting from acute illness and injuries for example.
The LAD – DAD linkage key allows users to link the Longitudinal Administrative Databank (LAD) with the hospital discharge events obtained from the Discharge Abstract Database (DAD) for all provinces and territories (excluding Quebec). LAD records contain information for a 20% longitudinal sample of Canadian tax filers between 1982 and 2016 and can be linked to the DAD hospitalization records for fiscal years 1994/1995 through 2016/17 via the linkage key.
Longitudinal Administrative Databank (LAD)
The LAD is a random, 20% sample of the T1 Family File (T1FF) tax database. Selection for LAD is based on an individual's social insurance number (SIN). There is no age restriction, but people without a SIN can only be included in the family component. Once a person is selected for the LAD, the individual remains in the sample and is picked up each year from the T1FF if he or she appears on the T1 that year. Individuals selected for the LAD are linked across years by a unique non-confidential LAD identification number (LIN__I) generated from the SIN, to create a longitudinal profile of each individual.
The LAD is augmented each year with a sample of new tax filers so that it consists of approximately 20% of tax filers for every year. The 20% sample has increased from 3,227,485 people in 1982 to 5,579,280 in 2016 (an increase of 73%). This increase reflects increases in the Canadian population and increases in the incidence of tax filing as a result of the introduction of the Federal sales tax credit in 1986 and the Goods and Services Tax credit in 1989.
For more information regarding the LAD, please refer to the LAD Data Dictionary available from your RDC analyst.
Discharge Abstract Database (DAD)
The Discharge Abstract Database (DAD) captures administrative, clinical and demographic information on hospital discharges (including in-hospital deaths, sign-outs and transfers) from all provinces and territoriesFootnote 1, except Quebec. Over time, the DAD has also been used to capture data on day surgery procedures, long-term care, rehabilitation and other types of care. Hospitals in Manitoba started submitting their records to DAD from April 1, 2004. Throughout the fiscal years that are covered in the linkage, there were openings, closure and mergers of institutions.
In the DAD, jurisdiction-specific instructions for collection of data elements evolve over time. Collection of each data element may be mandatory, mandatory if applicable, optional or not applicable. Collection requirements can vary by jurisdiction and by data year.
Researchers will find the listings of DAD data elements under the heading "Data Elements" at the DAD Metadata website. Please note that not all DAD data elements are included in the RDC DAD datasets for this linkage project. A list of available DAD variables is contained in user guide for the linked dataset. The documents on the website include information on mandatory versus optional collection status for each data element by jurisdiction, which is key to understanding coverage of data elements in the DAD.
For this record linkage, DAD records that linked to LAD cohort members from fiscal years 1994/1995 through 2016/17 were included.
All variables from the LAD are available for analysis. Please see appropriate data dictionaries, available from your RDC analyst.
The DAD is an event based file, meaning that there will be more than one record for a person who was hospitalized more than once in the same fiscal year. During the linkage process, all DAD records belonging to the same LAD cohort member were identified using their LIN__I. Researchers can then choose to use the DAD file as an event based file (each row of data represents a hospitalization) or a person based file (each row of data represents an individual).
In order to use the file as a person based file, the researcher must transform the data to include all hospital information for one person as one record (one row on the data file).
Under the authority of the Statistics Act, Statistics Canada is hereby requesting the following information, which will be used solely for statistical and research purposes and will be protected in accordance with the provisions of the Statistics Act and any other applicable law. This is a mandatory request for data.
Statistics Canada is requesting the number of air passengers screened by the Canadian Air Transport Security Authority. Variables being requested include: date, airport code, sector (domestic, transborder, international), and the total count of screened passengers.
This request does not contain any personal information.
Monthly data beginning with January 2019 (ongoing)
This information is being requested from the Canadian Air Transport Security Authority; a Crown corporation responsible for securing specific elements of the air transportation system – from passenger and baggage screening to screening airport workers.
Statistics Canada requires this information to create and publish statistics on outbound air passenger traffic in Canada. These statistics can help improve the coverage and timeliness of air passenger data and can be used by policy makers, researchers, and industry stakeholders to make informed decisions based on the movement of people by air.
Statistics Canada may also use the information for other statistical and research purposes.
The Canadian Air Transport Security Authority was selected as a data provider because the corporation collects information on screened passengers in order to manage security of the air transportation system.
February 2022 and onward (monthly)
February 15, 2022
Statistics Canada is requesting NAV Canada flight data. The purpose of this amendment is to expand the data currently collected to include more flights from over 1600 Canadian airports. The aviation program has collected aircraft flight data for 100 major Canadian airports from NAV CANADA since the not-for-profit corporation was founded.
Variables being requested include: Flight ID, departure date and time, flight number, aircraft registration, aircraft type, air carrier code, aerodrome code, latitude of the point in which the flight entered/exited Canadian controlled airspace, and longitude of the point in which the flight entered/exited Canadian controlled airspace.
This request does not contain any personal information.
Monthly data beginning with January 2020 (ongoing)
This information is being requested from NAV CANADA; a not-for-profit corporation responsible for air traffic services that help ensure the safe movement of aircraft in Canada.
Statistics Canada requires this information to create and publish statistics on flight data in Canada. These statistics will help expand our current coverage of aircraft activity data from NAV CANADA and can be used by policy makers, researchers and industry stakeholders to make informed decisions based on access to timely flight data from more airports across the regions, provinces, territories.
Statistics Canada may also use the information for other statistical and research purposes.
NAV CANADA was selected as a data provider because the corporation collects information on flight data and aircraft movements in order to manage air traffic services.
January 2020 and onward (monthly)
The aviation statistics program will use this data primarily under the following statistical program: 2715— Aircraft Movement Statistics
November 19, 2021
Statistics Canada is requesting detailed information about rail freight movements in Canada, such as data on the volume of freight, the types of goods transported, the equipment used, the distance covered within Canada (origin and destination cities), and the revenue generated from freight services within Canada provided by the Canadian railway companies from Transport Canada.
This request does not contain any personal information.
Monthly data as of January 2018 (ongoing) will be requested. Subsequent monthly data are requested to be sent twice a year.
This information is being requested from Transport Canada.
Statistics Canada requires this information to conduct an internal analysis with threefold objectives. First, to gain a better understanding of price trends within the freight rail industry; second, to validate the Freight Rail Services Price Index (FRSPI) that Statistics Canada produces and releases to the public on a monthly basis; and third, to perform a feasibility evaluation aimed at assessing the potential to enhance the FRSPI, which in turn may benefit Canadian businesses and researchers to make informed decisions regarding resource allocation, market focus, timing for using freight rail services, and other strategic considerations.
Transport Canada collects and maintains detailed and up-to-date data on Canadian freight rail services. These data are essential for internal analysis, data consolidation, and for potential to construct a comprehensive price index within this sector. It is the only known source for these data.
May 2024 and onward.
Rail Service Price Index FRSPI: will make use of the data being requested, however the use of data is strictly internal only, and the data will not be used in the production of FRSPI.
May 14, 2024
Information on latitude–longitude coordinates from the itineraries travelled by commercial trucks in North America for the general delivery of goods is being requested.
This request does not include personal information.
Monthly data beginning in July 2019 (ongoing).
This information is being requested from Transport Canada.
Statistics Canada is requesting this administrative information to better fulfil the objective of its Freight Trucking Statistics Program, which is to measure the commodity movements and the outputs of the Canadian trucking industry. The survey data are then used by federal and provincial governments, trucking associations, members of the industry, universities and research institutions to assess the industry's growth rate and contribution to the Canadian economy, and to measure the volume of provincial and inter-provincial trade transported by trucking companies. The statistics are also used by planning boards to help determine the volume of traffic on highways and by trucking companies that are investigating expansion opportunities. Adding this GPS administrative data to survey data already being collected will improve coverage, and lead to better-quality statistics overall. In addition, these data are likely to reduce response burden for survey respondents and industry stakeholders, and lower data collection costs for the government as a whole.
Statistics Canada may also use the information for other statistical and research purposes.
Transport Canada is responsible for developing policies and conducting research on different modes of transportation in Canada. These data will help Statistics Canada produce aggregate statistics for the benefit of all Canadians and the industry.
From February 2021 on (monthly).
February 4, 2021
Information on vehicle registration data including the full, six-digit postal code, the Odometer reading, date of registration and the Vehicle Identification Number (VIN) is being requested.
These data will be added to the vehicle registration information currently provided to Statistics Canada.
The vehicle registration information currently provided to Statistics Canada contains personal information, including name, address, date of birth, driver's license number and phone number. This request does not include additional personal information.
Monthly data as of November 2020 (ongoing).
This information is being requested from all provincial and territorial transportation ministries/authorities.
Many data gaps still exist for the new motor vehicle industry, including: how far are Canadians driving? Do these patterns differ by fuel type, vehicle type, geographic location, and month? Statistics Canada is requesting this information in order to fill these data gaps. Data will be used by policy makers, researchers, and industry stakeholders to measure the growth of zero-emission vehicles in Canada.
Statistics Canada may also use the information for other statistical and research purposes.
Canada's provincial and territorial transportation authorities are currently providing vehicle registration data to Statistics Canada on a quarterly basis.
November 2020 and onward (monthly)
October 26, 2020
The information session series covers a variety of topics including graphs and charts and statistical and methodological concepts suitable for the beginner level. The information sessions are usually 60 to 90 minutes in length and may include interactive components during the session. All information sessions will conclude with a question and answer period, inviting participants to ask specific questions. They include an electronic copy of the presentation, which is shared with participants. This important learning opportunity assists businesses, governments, and individuals to understand and use data more efficiently.
There are no events scheduled in the coming months.
Duration of Trip | Main Trip Purpose | Country or Region of Trip Destination | |||||||
---|---|---|---|---|---|---|---|---|---|
Total | Canada | United States | Overseas | ||||||
Person-Trips (x 1,000) | C.V. | Person-Trips (x 1,000) | C.V. | Person-Trips (x 1,000) | C.V. | Person-Trips (x 1,000) | C.V. | ||
Total Duration | Total Main Trip Purpose | 44,554 | A | 38,639 | A | 3,710 | A | 2,204 | A |
Holiday, leisure or recreation | 14,946 | A | 11,730 | A | 1,709 | B | 1,507 | A | |
Visit friends or relatives | 17,654 | A | 16,435 | A | 737 | B | 483 | B | |
Personal conference, convention or trade show | 1,264 | D | 1,183 | D | 81 | D | 0 | E | |
Shopping, non-routine | 2,241 | B | 1,708 | B | 529 | B | 4 | E | |
Other personal reasons | 3,112 | B | 2,937 | B | 136 | D | 38 | E | |
Business conference, convention or trade show | 1,401 | B | 1,120 | C | 191 | C | 89 | D | |
Other business | 3,936 | B | 3,526 | B | 327 | C | 83 | C | |
Same-Day | Total Main Trip Purpose | 28,233 | A | 26,738 | A | 1,495 | B | .. | |
Holiday, leisure or recreation | 8,357 | B | 7,905 | B | 452 | C | .. | ||
Visit friends or relatives | 11,114 | A | 10,790 | A | 324 | C | .. | ||
Personal conference, convention or trade show | 944 | E | 919 | E | 26 | E | .. | ||
Shopping, non-routine | 2,083 | B | 1,589 | B | 495 | B | .. | ||
Other personal reasons | 2,301 | B | 2,262 | B | 39 | E | .. | ||
Business conference, convention or trade show | 607 | D | 603 | D | 5 | E | .. | ||
Other business | 2,826 | B | 2,671 | B | 155 | E | .. | ||
Overnight | Total Main Trip Purpose | 16,321 | A | 11,901 | A | 2,215 | A | 2,204 | A |
Holiday, leisure or recreation | 6,588 | A | 3,825 | B | 1,257 | B | 1,507 | A | |
Visit friends or relatives | 6,540 | A | 5,645 | B | 413 | B | 483 | B | |
Personal conference, convention or trade show | 320 | C | 264 | D | 55 | D | 0 | E | |
Shopping, non-routine | 158 | C | 120 | C | 35 | D | 4 | E | |
Other personal reasons | 811 | B | 675 | B | 98 | D | 38 | E | |
Business conference, convention or trade show | 793 | B | 518 | B | 187 | C | 89 | D | |
Other business | 1,110 | B | 855 | B | 172 | C | 83 | C | |
Estimates contained in this table have been assigned a letter to indicate their coefficient of variation (c.v.) (expressed as a percentage). The letter grades represent the following coefficients of variation:
|
Duration of Visit | Main Trip Purpose | Country or Region of Expenditures | |||||||
---|---|---|---|---|---|---|---|---|---|
Total | Canada | United States | Overseas | ||||||
$ '000 | C.V. | $ '000 | C.V. | $ '000 | C.V. | $ '000 | C.V. | ||
Total Duration | Total Main Trip Purpose | 13,834,568 | A | 5,940,878 | A | 3,842,638 | B | 4,051,052 | B |
Holiday, leisure or recreation | 7,748,038 | A | 2,441,222 | B | 2,694,134 | B | 2,612,682 | B | |
Visit friends or relatives | 2,788,591 | B | 1,537,981 | A | 486,935 | C | 763,674 | C | |
Personal conference, convention or trade show | 214,552 | C | 160,818 | C | 52,850 | E | 884 | E | |
Shopping, non-routine | 360,790 | B | 281,721 | B | 75,295 | C | 3,773 | E | |
Other personal reasons | 599,697 | B | 422,981 | B | 73,388 | D | 103,328 | E | |
Business conference, convention or trade show | 991,166 | C | 382,123 | B | 239,621 | C | 369,422 | E | |
Other business | 1,131,735 | B | 714,031 | B | 220,415 | C | 197,289 | D | |
Same-Day | Total Main Trip Purpose | 2,306,038 | A | 1,998,199 | A | 293,647 | C | 14,193 | E |
Holiday, leisure or recreation | 861,025 | B | 726,266 | B | 120,702 | D | 14,057 | E | |
Visit friends or relatives | 628,154 | B | 535,017 | B | 93,001 | E | 136 | E | |
Personal conference, convention or trade show | 43,567 | D | 39,886 | D | 3,681 | E | .. | ||
Shopping, non-routine | 275,530 | B | 219,884 | B | 55,646 | C | .. | ||
Other personal reasons | 208,126 | B | 202,860 | B | 5,266 | E | .. | ||
Business conference, convention or trade show | 41,216 | C | 39,762 | C | 1,455 | E | .. | ||
Other business | 248,420 | C | 234,523 | C | 13,896 | E | .. | ||
Overnight | Total Main Trip Purpose | 11,528,530 | A | 3,942,679 | A | 3,548,991 | B | 4,036,860 | B |
Holiday, leisure or recreation | 6,887,014 | A | 1,714,956 | B | 2,573,432 | B | 2,598,625 | B | |
Visit friends or relatives | 2,160,437 | B | 1,002,964 | B | 393,934 | C | 763,538 | C | |
Personal conference, convention or trade show | 170,984 | C | 120,931 | D | 49,169 | E | 884 | E | |
Shopping, non-routine | 85,260 | C | 61,837 | D | 19,649 | E | 3,773 | E | |
Other personal reasons | 391,570 | C | 220,120 | B | 68,122 | D | 103,328 | E | |
Business conference, convention or trade show | 949,950 | C | 342,362 | B | 238,166 | C | 369,422 | E | |
Other business | 883,316 | B | 479,508 | B | 206,518 | D | 197,289 | D | |
Estimates contained in this table have been assigned a letter to indicate their coefficient of variation (c.v.) (expressed as a percentage). The letter grades represent the following coefficients of variation:
|
Province of residence | Unweighted | Weighted |
---|---|---|
Percentage | ||
Newfoundland and Labrador | 4.9 | 5.9 |
Prince Edward Island | 5.7 | 5.7 |
Nova Scotia | 12.3 | 11.7 |
New Brunswick | 11.5 | 11.5 |
Quebec | 17.3 | 15.3 |
Ontario | 16.8 | 15.9 |
Manitoba | 9.6 | 10.4 |
Saskatchewan | 7.7 | 8.6 |
Alberta | 11.6 | 12.9 |
British Columbia | 15.0 | 14.5 |
Canada | 13.0 | 14.4 |
These methodologies have been prepared by the various railways and reflect how the various performance indicators have been calculated. Neither Transport Canada nor Statistics Canada are responsible for the contents of this document.
Request | Definition of Term | Formula of Calculation |
---|---|---|
1. System-average train speed by the following train types for the reporting week:
|
The average speed measures the line-haul movement from origin to destination excluding terminal dwell hours calculated by dividing the total train kilometers traveled by the total hours operated. This calculation does not include the travel time or the distance traveled by: i) trains used in or around CP's yards; ii) passenger trains; and iii) trains used for repairing track. Only Canadian movements are recorded in the metric. In the instance of cross-border trains the measurement will begin at the border for trains entering Canada, or end at the border for trains leaving Canada. |
Sum of total train miles / sum of total train hours
|
2. Weekly average terminal dwell time, measured in hours, excluding cars on run-through trains (i.e. cars that arrive at, and depart from, a terminal on the same through train) for that carrier's system and its 10 largest terminals in terms of railcar capacity. |
The average time a freight car resides within the yard boundaries of our 10 largest Yards in Canada based on volume, expressed in hours. The timing starts with a car arriving in the Yard, a customer releasing the car to the Company, or a car arriving that is to be transferred to another railway. The timing ends when the car departs, a customer receives the car from CP or the freight car is transferred to another railway. Freight cars are excluded if they are being stored at the terminal, used in track repairs, or travelling on a run-through train which does not require any processing. System calculation includes all yards for which data is available in Canada (17 yards). |
Sum of total dwell hours / sum of total cars handled Top 10 includes the following: Alyth, Brandon, Clover Bar, Coquitlam, Moose Jaw, Regina, St Luc, Thunder Bay, Toronto Yard and Winnipeg (based on cars processed). System calculation includes all yards for which data is available in Canada (17 yards). Includes the ten listed above plus: Hochelaga, Kamloops, Lethbridge, Red Deer, Sutherland, Vancouver, West Toronto. |
3. Total cars on line by the following car types for the reporting week:
|
Average total cars online CP's Canadian network for the seven (7) daily "snapshots" from the week. Excludes Locomotives, Containers and miscellaneous cars on company service. |
Sum of (Monday Snapshot Count+ Tuesday Snapshot Count……. + Friday Snapshot Count) / divided by # of days in the week (7) Cars are grouped into Car Types using their AAR Car Codes from UMLER. Snapshots taken between 00:01 – 02:00 every day. Rounded to the closest whole number. |
4. Weekly average dwell time at origin for unit train shipments sorted by grain, coal, automotive, crude oil, ethanol, and all other unit trains. (Dwell time refers to the time period from billing and release of a unit train at origin until actual movement by the carrier.) |
Time (in hours) between the release of a car by a customer (empty or loaded) to the first movement of the car by CP. Includes only cars that travelled on designated unit trains. Excludes cars with offline origins. |
Average (First Movement by CP Timestamp minus Release Loaded Event Timestamp) Captures cars where the first movement by CP occurred within the given week. Grouped by the planned commodity to be moved on the designated unit train. |
5. The weekly daily average number of trains held short of destination or scheduled interchange for longer than six hours sorted by train type (intermodal, grain unit, coal unit, automotive unit, crude oil unit, ethanol unit, other unit, and manifest) and by cause (crew, locomotive power, or other). |
The weekly daily average of trains delayed by 6 or more hours in a single location. When more than one cause is present at the location, the main cause will be established based on the delay cause with the greatest amount of time at that location. |
If sum of delay hours grouped by station >= 6 include, else exclude
|
6. The weekly daily average of loaded and empty cars, stated separately, in revenue service that have not moved in more than 48 hours, sorted by the following classifications (intermodal, grain, coal, crude oil, automotive, ethanol, or all other). For purposes of this item, "moved" refers to making a train movement (departure) or a spot or pull from a customer location. |
Average total cars online CP's Canadian network dwelling over 48 hours for the seven (7) daily "snapshots" from the week. Dwelling defined as the time (in hours) from the last movement event (i.e. Departure/Arrival or Spot/Pull from Customer). Excludes Locomotives, Containers and miscellaneous cars on company service. Excludes cars in Storage, in Placed Constructive status, in bad order status or Placed on a Customer's track. |
Sum of (Monday Snapshot Count+ Tuesday Snapshot Count……. + Friday Snapshot Count) / dived by # of days in the week (7) Grouped by:
Snapshots taken between 00:01 – 02:00 every day. Rounded to the closest whole number. |
7. The weekly total number of grain cars loaded and billed, reported by State, aggregated for the following Standard Transportation Commodity Codes Grain will be defined by the Canada Transportation Act (S.C. 1996, c. 10), Schedule II (Sections 147 and 155), Grain, Crop or Product. Total grain cars loaded and billed" includes cars in shuttle service; dedicated train service; reservation, lottery, open and other ordering systems; and, private cars. Additionally, please separately report the total cars loaded and billed in shuttle service (or dedicated train service) versus total cars loaded and billed in all other ordering systems, including private cars. |
Total number of Grain cars billed on CP's Canadian network during the week with a commodity code of: Please refer to Appendix A for STCCs list |
Sum of cars billed. Shuttle/Dedicated Other |
8. For the aggregated STCCs in Item 7, report by State the following:
|
|
|
Pursuant to s. 77(4) of the Transportation Modernization Act, S.C. 2018, c.10 (the "Act"), BNSF Railway Company ("BNSF") provides the following explanation of the methodology used to generate the periodic reporting required under ss. 77(2)-(3) of the Act. Pursuant s. 77(2), Class 1 rail carriers are required to provide to the Minister of Transport information on specified service and performance indicators for that carrier's network in Canada for each period of seven days. While the Governor in Council is authorized pursuant to paragraph 50(1.01)(b) of the Canadian Transportation Act to make regulations requiring Class 1 rail carriers to provide information for the purposes of communicating service and performance indicators to the public, ss. 77(1)-(2) of the Act provides that until such regulations come into force, Class 1 rail carriers are to submit a report containing the information specified in 49 C.F.R. § 1250.2(a)(l)-(8), as adapted by s. 77(3) of the Act. Further, Transport Canada has provided instruction that reports provided pursuant to s. 77 of the Act must be limited to traffic the reporting Class 1 rail carrier moves through Canada. Consistent with the Act, BNSF's report reflects the requirements and guidance promulgated by the Surface Transportation Board of the United States (the "STB") relating to 49 C.F.R. § 1250.2(a), including Orders in STB Ex Parte No. 724, United States Rail Service Issues-Performance Data Reporting. Covered parties were required to submit their first report under the Act on December 5, 2018. The Act further provides that each Class 1 rail carrier shall, in its first report, provide an explanation of the methodology it used to derive the data contained therein, including the definition of unit train used for reporting purposes. Accordingly, BNSF provides the following information about the methodology employed to generate the data included with BNSF's data reports:
Data Element No. 1 reflects data that was historically provided by BNSF and other rail carriers through the AAR's public Weekly Performance Reports. Average speed is calculated by dividing train-kilometers by total hours operated, excluding yard and local trains, passenger trains, maintenance of way trains, and terminal time. BNSF's report (i) includes the two additional categories of "Crude oil unit" and "Ethanol unit" required by 49 C.F.R. § 1250.2(a)(l) that were not separately isolated in the AAR Weekly Performance Report, and (ii) is limited to our operations in Canada.
Consistent with the Act and BNSF's reporting obligations to the STB, terminal dwell has been measured as the average time a car resides at the specified terminal location expressed in hours, beginning with a customer release, received interchange, or train arrival event and ending with customer placement (actual or constructive), delivered or offered in interchange, or train departure event. Cars that move through a terminal on a run-through train are excluded, as are stored, bad ordered, and maintenance of way cars. Please note that BNSF's reporting pursuant to the Act lists only two terminals, Vancouver, BC and Winnipeg, MB, which are BNSF's only terminals in Canada. Further, Winnipeg experiences a limited volume of the car events that mark the measurement points for terminal dwell and will have no reportable events during many seven-day periods. For periods with reportable data, the reported dwell time may vary widely between periods due to the small number of events in each period. For this reason, BNSF believes that dwell time reported for Winnipeg is not likely to be an accurate indicator of operating performance at that location and cautions Transport Canada to consider this factor when reviewing the data provided in this Data Element.
Data Element No. 3 also reflects data that was historically provided through the AAR's public Weekly Performance Reports. BNSF's report reflects the average of the daily on-line inventory of freight cars on our Canadian network. Articulated cars are counted as a single unit and cars on private tracks (e.g., at a customer's facility) are counted on the last Class 1 rail carrier on which they were located. Maintenance of way cars are also excluded.
BNSF has populated our report with data extracted from existing internal reports identifying the time between release of a loaded unit train by a customer at origin and the departure of the train from the facility for our traffic in Canada. This approach is consistent with the definition of dwell time provided in the STB's requirements on which the Act is based. The data is sorted by the individual unit train categories identified in 49 C.F.R. § 1250.2(a)(4), as referenced by the Act; "All Other Unit Trains" includes remaining categories of unit train shipments, including rock, sand, taconite, and government unit trains. BNSF has also isolated non-origin interchange dwell and empty units from the periodic reporting.
BNSF has populated Data Element No. 5 with data extracted from a different internal source using the snapshot approach required by 49 C.F.R. § 1250.2(a)(5), as referenced by the Act (e.g., running a daily same-time snapshot of trains held in Canada and calculating the daily average for the seven-day period by adding up the number of trains holding from each daily snapshot and then dividing that number by seven). As BNSF has explained in the record relating to the STB requirements to which the Act refers, this Data Element captures trains held at a point on BNSF's Canadian network for numerous reasons entirely separate from railroad performance, including trains that are held as part of their routine operating plan, informed by the needs of shippers, receivers and/or connecting carriers. In addition, BNSF causation flags of "crew," "locomotive power" and "other" will continue to be applied manually by dispatchers and other operating personnel based on information available to them. Delay on a single train can be the result of several causes, but the dispatcher or operator may not be fully aware of all contributing causes and, in any event, manually selects only a single cause code, which becomes the only cause subsequently reflected in this Data Element.
BNSF has populated Data Element No. 6 using the snapshot approach required in 49 C.F.R. § 1250.2(a)(6), as referenced by the Act, by running a daily same-time snapshot of all loaded and empty cars being used in commercial service in Canada (excluding cars that have been placed in storage, constructively placed or bad ordered, and cars being used in railroad service such as ballast and other maintenance of way trains) and calculating the daily average for the week. In populating the fertilizer metric, BNSF has used the following fifteen fertilizer Standard Transportation Commodity Codes (STCCs): 2871236, 2871235, 2871238, 2819454, 2812534, 2818426, 2819815, 2818170, 2871315, 2818142, 2818146, 2871244, 2819173, 2871313, and 2871451. Chemicals and plastics (STCC 28, except fertilizer) are included as a distinct reporting category. Cars have been counted by reference to the underlying rail equipment without accounting for how many individual units may be carried on a single piece of rail equipment. For example, an intermodal railcar will count as a single car even though it may carry multiple units (e.g., containers) at various points along the route. As with Data Element No. 5, BNSF has calculated the daily average for the week by adding up the number of qualifying cars holding from each daily snapshot and then divided that number by seven. It should also be noted that just because a car has been held at a point on the BNSF network for more than 48 hours does not mean that the car will not be delivered in a timely manner or even within the initial service plan - many cars are held in terminals and other locations on our network as part of the service design for the movement or for the convenience of a shipper or receiver. As with Data Element No. 5, potentially significant numbers of delays that are not linked to BNSF's own service performance will be captured as BNSF delays in the data reported pursuant to this Data Element.
BNSF has populated Data Element No. 7 with total loaded and billed grain cars by province in a manner consistent with the way BNSF reports the number of cars loaded in the CS54 data submitted weekly to the AAR for public reporting. Total loaded and billed cars include cars in shuttle service, dedicated train service, reservation, lottery, open and other ordering systems, and private cars with active waybills. For purposes of this Data Element, grain includes canola, barley, corn, oats, rye, sorghum, wheat, other grain, soybeans, dry beans, dry peas, lentils, cowpeas and lupines.
BNSF has collected the data responsive to 49 C.F.R. § 1250.2(a)(8), as referenced by the Act, in a manner consistent with our prior reporting to the STB and our communications to our customers. To identify the running total of orders placed, we report the total number of new car orders placed during the seven-day reporting period. The running total of orders filled is the number of that have been placed for loading over the seven-day period. Under BNSF's governing tariffs, a pending car order is classified as past due when the shipment is more than three days past the shipper's want date. Any order with a want date that is more than three days old is considered a "Past Due" and any shipment that is Past Due on the Sunday during the current reporting period is allocated either into the 1-10 Day column or the 11+Day column, depending on its age. Consistent with the Act, the data responsive to this Data Element is limited to traffic moving through Canada.
Consistent with the Act, BNSF will provide an update to the Minister of Transport in the event that BNSF changes the methodology used to generate the periodic report or changes the definition used to identify unit train traffic.
Under the Transportation Modernization, Act, railways have been requested to report the below eight service metrics for Canadian operations, adopting a subset of current reporting to the U.S. Surface Transportation Board pursuant to 49 CFR 1250.2(a)(1)-(8). The explanations for each category below relate to CSXT's reporting of these service metrics for its Canadian operations. For further context and clarification on terms and definitions, CSXT adopts as applicable the Explanation of Methodology submitted for CSXT's regular STB reporting, which can be found on the STB's website.
Overview:
Section 77 of the Transportation Modernization Act ("Act") requires Class I rail carriers as defined in the Act, which includes Norfolk Southern Railway Company ("NSR"), to report certain service and performance indicators for their operations in Canada until regulations are issued by Transport Canada.
NSR's only operation within Canada is one train a day that moves over less than two miles of a line of Canadian National Railway Company ("CN") from the border crossing at Buffalo, New York, into CN's yard in Fort Erie, Ontario. However, NSR is not the waybill carrier and does not receive any revenue for the Canadian portion of the move. Rather, such movement is purely for operational convenience of the parties to facilitate interchange of traffic between NSR and CN at Buffalo. The train is dispatched at the direction of CN and operated in accordance with CN's rules and regulations. Consequently, NSR does not currently have any revenue operations or traffic in Canada
As a result, NSR does not have data to report for the interim service and performance indicators contained in the Act. Information on NSR's system performance in the United States is collected by the Surface Transportation Board and can be accessed via the following website:
EP 724 - Rail Service Issues Reports
NSR provides a detailed explanation of the application of each of the service and performance indicators required under the Act to NSR's Canadian operations below.
Union Pacific does not own any rail lines in Canada. Nor does Union Pacific conduct any revenue operations in Canada. Union Pacific's participation in cross-border rail transportation shipments is limited to the portion of the transportation south of the U.S.-Canada border, with the transportation north of the border provided by connecting railroads operating in Canada. As a result, the revenue Union Pacific receives from shippers is solely for that portion of transportation movements occurring within the United States.
There is one location on the U.S.-Canada border where Union Pacific's train crews cross a short distance into Canada. At the border crossing between Eastport, Idaho, and Kingsgate, British Columbia, the trains Union Pacific interchanges with Canadian Pacific Railway for southbound movements must be scanned by United States Customs and Border Protection using a Vehicle and Cargo Inspection System (VACIS) machine. This machine uses electronic imaging to scan the train and is located approximately 100 feet south of the border. On those movements, a Canadian Pacific crew stops the train approximately 100 feet north of the border. A Union Pacific crew then moves the train across the border and through the VACIS machine. On northbound train movements, the Union Pacific train crew pulls the train north of the border, beyond the end of Union Pacific's tracks (which terminate at the border), onto the tracks of Canadian Pacific, and far enough north for the last car on the train to clear the VACIS machine. This maneuver means the Union Pacific train crews travel north into Canada only as far as one train length (approximately one mile) before Canadian Pacific takes over operation of the train.