Record linkage results per province – 2019

Record linkage results per province
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
Tablenote 1

Linkage Rate: The linkage rate is calculated as the percentage of owner records with accepted links to the database shown. It is the denominator for the false discovery rate (FDR). While it is not a data quality indicator alone, in addition to the FDR and the false negative error rate (FNR) it provides a complete picture of the overall linkage quality.

Return to tablenote 1 referrer

Tablenote 2

False Discovery Rate (FDR): The FDR is calculated as the percentage of records with false links among records with accepted links (i.e., a record with a false link is a record that was linked incorrectly).

Return to tablenote 2 referrer

Tablenote 3

False Negative error Rate (FNR): The FNR is calculated as the percentage of records with true links which were not found in the linkage process (i.e., records that were not linked when they should have been).

Return to tablenote 3 referrer

Statistics Canada Fees Report, Fiscal year 2019-20

Catalogue no. 892600012020001
ISSN 2562-1602

PDF Version (PDF, 571.79 KB)

Table of contents

Minister's message

Photo of The Honourable Navdeep Bains

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

About this report

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:

  • Act, regulation or fees notice
    • An act of Parliament delegates the fee-setting authority to a department, minister or Governor in Council.
  • Contract
    • Ministers have the authority to enter into contracts, which are usually negotiated between the minister and an individual or organization, and which cover fees and other terms and conditions. In some cases, that authority may also be provided by an act of Parliament.
  • Market-rate or auction or both
    • The authority to set these fees is pursuant to an act of Parliament or regulation, and the minister, department or Governor in Council has no control over the fee amount.

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.

Overall totals, by fee setting mechanism

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.

Overall totals for 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

Endnotes

Linkage of the Longitudinal Administrative Databank (1982-2016) to the Discharge Abstract Database (1994/1995-2016/2017)

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.

The Data

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.

File structure, layout

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).

Request for information - Transportation

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.

Air Transportation

Canadian Air Transport Security Authority Screened Passenger Counts

What information is being requested?

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.

What personal information is included in this request?

This request does not contain any personal information.

What years of data will be requested?

Monthly data beginning with January 2019 (ongoing)

From whom will the information be requested?

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.

Why is this information being requested?

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.

Why were these organizations selected as data providers?

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.

When will this information be requested?

February 2022 and onward (monthly)

What Statistics Canada programs will primarily use these data?

When was this request published?

February 15, 2022

What information is being requested?

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.

What personal information is included in this request?

This request does not contain any personal information.

What years of data will be requested?

Monthly data beginning with January 2020 (ongoing)

From whom will the information be requested?

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.

Why is this information being requested?

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.

Why were these organizations selected as data providers?

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.

When will this information be requested?

January 2020 and onward (monthly)

What Statistics Canada programs will primarily use these data?

The aviation statistics program will use this data primarily under the following statistical program: 2715— Aircraft Movement Statistics

When was this request published?

November 19, 2021

Road Transportation

Global Positioning System (GPS) data from trucks

What information is being requested?

Information on latitude–longitude coordinates from the itineraries travelled by commercial trucks in North America for the general delivery of goods is being requested.

What personal information is included in this request?

This request does not include personal information.

What years of data will be requested?

Monthly data beginning in July 2019 (ongoing).

From whom will the information be requested?

This information is being requested from Transport Canada.

Why is this information being requested?

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.

Why were these organizations selected as data providers?

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.

When will this information be requested?

From February 2021 on (monthly).

What Statistics Canada programs will primarily use these data?

When was this request published?

February 4, 2021

Vehicle Registration data

What information is being requested?

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.

What personal information is included in this request?

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.

What years of data will be requested?

Monthly data as of November 2020 (ongoing).

From whom will the information be requested?

This information is being requested from all provincial and territorial transportation ministries/authorities.

Why is this information being requested?

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.

Why were these organizations selected as data providers?

Canada's provincial and territorial transportation authorities are currently providing vehicle registration data to Statistics Canada on a quarterly basis.

When will this information be requested?

November 2020 and onward (monthly)

When was this request published?

October 26, 2020

Information Sessions

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.

Upcoming Information Sessions

There are no events scheduled in the coming months.

Past Information Sessions

National Travel Survey: C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination, Q1 2020

National Travel Survey: C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination, Q1 2020
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
..
data not available

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:

A
c.v. between or equal to 0.00% and 5.00% and means Excellent.
B
c.v. between or equal to 5.01% and 15.00% and means Very good.
C
c.v. between or equal to 15.01% and 25.00% and means Good.
D
c.v. between or equal to 25.01% and 35.00% and means Acceptable.
E
c.v. greater than 35.00% and means Use with caution.

National Travel Survey: C.V.s for Visit-Expenditures by Duration of Visit, Main Trip Purpose and Country or Region of Expenditures, Q1 2020

National Travel Survey: C.V.s for Visit-Expenditures by Duration of Visit, Main Trip Purpose and Country or Region of Expenditures, Q1 2020 in Thousands of Dollars (x 1,000)
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
..
data not available

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:

A
c.v. between or equal to 0.00% and 5.00% and means Excellent.
B
c.v. between or equal to 5.01% and 15.00% and means Very good.
C
c.v. between or equal to 15.01% and 25.00% and means Good.
D
c.v. between or equal to 25.01% and 35.00% and means Acceptable.
E
c.v. greater than 35.00% and means Use with caution.

National Travel Survey Q1 2020: Response Rate at the estimation stage

National Travel Survey Q1 2020: Response Rate at the estimation stage
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

Weekly Rail Performance Indicators Methodology 2020

Table of Contents

Introduction

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.

Canadian National

  1. Weekly Average Train Speed by Train Type
    • Industry train speed used (as submitted to the AAR), expressed in Kilometers per hour.
    • Data is provided by AAR week (Saturday 00:01 to Friday 23:59).
    • Calculated by summing the total train miles, and dividing by the total train hours operated.
    • Includes system trains running on Company lines, and system trains operating on non-system
    • lines under trackage/running rights or as a detour (e.g. system trains operating on CP lines in the Fraser Canyon).
    • Excludes passenger, work and company service trains, yards, transfers, local trains, and road switchers. Excludes non-system trains operating on company lines under trackage/running rights or as a detour. Excludes crew change time, and other terminal time at crew change points.
    • Reported by train type (Manifest 200-400 series, I/M 100 series, Grain G800 series, Coal C700,
    • Crude Oil (specific train ids) and Ethanol (specific train ids)).
    • Cross border trains are included immediately upon crossing the border. Mileage between reporting stations, i.e. Line Segments, are split to country and province and is aggregated to calculate total train miles, and total train hours operated.
  2. Weekly Average Dwell for our 10 largest Canadian terminals
    • Industry Process Dwell used (same as used for AAR performance report), expressed in hours per car.
    • Data is provided by AAR week (Saturday 00:01 to Friday 23:59).
    • The ten terminals selected for the report are those which have the largest number of cars processed. This same list of stations will be reported each week.
    • Average elapsed time from entry to exit of cars processed at major terminals (excludes cars on through trains).
    • Entry events include train arrival, interchange receipt and customer release.
    • Exit events include train departure, interchange delivery and first placement.
    • Excludes cars placed into hold, storage or bad order, or company service cars.
    • An articulated car is counted as one regardless of the number of platforms.
  3. Weekly Average Cars On-line by Car Type
    • Weekly average of active cars online per day, calculated by averaging the daily car inventory (04:00 ET).
    • Data is provided by AAR week (Saturday 00:01 to Friday 23:59).
    • Active cars include cars on trains, in yards and at customer.
    • Includes CN owned and leased, private equipment and foreign equipment on-line.
    • Excludes stored cars including private cars in chargeable storage.
    • Excludes heavy bad order, dismantlers, company service, and passenger cars.
    • Excludes Private Cars placed on customer siding for more than 30 days.
    • An articulated car is counted as one regardless of the number of platforms.
  4. Weekly Average Dwell at Origin for Unit Train Shipments (grain, coal, auto, crude, ethanol and other unit trains)
    • Average time for cars in normal status measured from customer release to train departure.
    • Data is provided by AAR week (Saturday 00:01 to Friday 23:59).
      Excludes time for cars placed in chargeable hold.
    • Limited to B, C, G, S, U trains with more than 70 cars with same origin and destination.
    • (B-Potash, C-Coal, G-Grain, S-Sulphur and U-Other Unit trains – Crude/Ethanol).
    • Crude trains identified by specific train ids.
    • Release and train departure station must be the same.
    • Excludes time placed into chargeable hold (EX) between release and departure events.
  5. Weekly Average Trains Held Short of Destination
    • Weekly average count of late trains per day that are held at snapshot time (00:01 ET).
    • Data is provided by AAR week (Saturday 00:01 to Friday 23:59).
    • Held trains are defined as exceeding the scheduled time at the snapshot location by 1 hours.
    • Delays are broken down by cause (Crew, Locomotive Power, or Other).
    • Reported by train type (Manifest 200-400 series, I/M 100 series, Grain G800 series, Coal C700,
    • Crude Oil (specific train ids) and Ethanol (specific train ids)).
    • Delays caused by other reasons could include: disruption, weather, foreign, engineering, equipment, or passenger delays.
  6. Weekly Average Cars Unmoved for Over 48 hours
    • Weekly average count of cars per day in normal status in a yard, or tendered to CN on a customer track, that have not moved in over 48 hours.
    • Data is provided by AAR week (Saturday 00:01 to Friday 23:59).
    • Excludes cars that are placed at a customer, stored, in heavy bad order status, dismantlers and OCS cars.
    • Commodity is calculated by waybill Major Sub Group (a subset of Business Unit), except
    • Intermodal which is by Car Group, and Ethanol by STCC.
    • Uses daily snapshot at 23:50 ET.
  7. Weekly Total Grain Cars Loaded and Billed, Aggregated and by Province
    • Cars measured on waybill activation with Grain commodities (Business Unit Grain, see appendix for full STCC list).
    • Data is provided per Grain week, from Sunday 00:01 to Saturday 23:59
    • Province provided is the waybill CN origin.
    • Includes System-controlled and Private-controlled cars, and including all car types except Intermodal.
  8. Running Total Number and Average Days Late for Outstanding Grain Car Orders;
    Total New Car Orders, Filled and Cancelled During Past Week
    • Includes System-controlled covered hopper cars only.
    • Western Canada is managed by the Bulk Operations group.
    • Eastern Canada is managed by CCO as manifest orders.
    • Data is provided per Grain week, from Sunday 00:01 to Saturday 23:59
    • Western Canada orders reported are sourced from the Planned Service Report (PSR), set on the
    • Thursday prior to the order week, which excludes early customer cancelations and orders without terminal authorization. Eastern Canada orders are net orders, orders less cancellations.
    • Filled orders include add in's, and cars spotted for the following or prior weeks orders.
    • An order is considered to be overdue if a car has not been supplied by Saturday 23:59.

Canadian Pacific

 
Request Definition of Term Formula of Calculation

1. System-average train speed by the following train types for the reporting week:

  1. Intermodal
  2. Grain unit
  3. Coal unit
  4. Automotive unit
  5. Crude oil unit
  6. Ethanol unit
  7. Manifest
  8. System

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

  • Train hours does not include station time
  • Trains are grouped based on train number or symbol with the following definitions:
    • Intermodal = 100,101,112,113,118,119,142,143,198,199
    • Grain unit = All 300 series
    • Coal unit = All 800 series
    • Automotive unit = 147
    • Crude unit = 602 to 615
    • Ethanol unit = all 630 and 640 series
    • Manifest = all 200 and 400 series
    • System = all symbolled trains

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:

  1. Box
  2. Covered hopper
  3. Gondola
  4. Intermodal
  5. Multilevel (Automotive)
  6. Open hopper
  7. Tank
  8. Other
  9. Total

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

  • Trains are grouped based on train number or symbol with the following definitions:

    • Intermodal = 100,101,112,113,118,119,142,143,198,199
    • Grain unit = All 300 series
    • Coal unit = All 800 series
    • Automotive unit = 147
    • Crude unit = 602 to 615
    • Ethanol unit = all 630 and 640 series

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:

  • > 48hours

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
>90 unique car numbers billed on the same day from the same Origin to the same Destination

Other
All other

8. For the aggregated STCCs in Item 7, report by State the following:

  1. The running total number of orders placed;
  2. Running total of orders filled;
  3. The number of orders unfilled, broken into 1-10 days, and 11+ days past due.
  1. Running total orders: Number of orders placed in reporting week
  2. Running total orders filled: Number of orders filled in reporting week
  3. Number of orders unfilled: Number of car orders with an empty want date between 1-10 days old and 11+ days old
  1. Count of car orders placed in Canada in reporting week
  2. Count of car orders filled in Canada in the reporting week
  3. Count of car orders with an empty want date, measured back in time from the week end date.

BNSF

Revised Methodological Report of BNSF Railway Company

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-Train Speed: Weekly system-average train speed by train type (intermodal, grain unit, coal unit, automotive unit, crude oil unit, ethanol unit, manifest, all system)

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.

  • Data Element No. 2-Terminal Dwell Time: Weekly average terminal dwell time for the system and ten largest terminals by railcar capacity.

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-Cars Online: Weekly total cars on line by car type (box, covered hopper, gondola, intermodal, multilevel (automotive), open hopper, tank, other, total)

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.

  • Data Element No.4-Dwell Time at Origin for Unit Trains: Weekly average dwell time at origin for loaded unit trains by type (grain, coal, automotive, crude oil, ethanol and all other unit trains)

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.

  • Data Element No. 5-Trains Holding: Weekly average trains holding per day 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 and other)

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.

  • Data Element No. 6-Cars Held: Weekly average loaded and empty cars in normal movement and billed to an origin and destination that have not moved in more than 48 hours, by type (intermodal, grain, coal, crude oil, automotive, ethanol, fertilizer, and all other)

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.

  • Data Element No. 7-Grain Cars Loaded and Billed: Weekly total number of grain cars loaded and billed, reported by province, identifying totals in shuttle service versus total cars loaded in all other ordering systems

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.

  • Data Element No. 8-Grain Cars Orders: Weekly and by province, for railroad-owned and leased cars: (a) running total of car orders placed; (b) running total of orders filled; (c) for unfilled orders, number of orders that are 1-10 days past due and 11+ days past due, as measured for when the car was due for placement under the Class 1 rail carrier's governing tariff

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.

  • Definition of Unit Train: In our periodic report required by the Act, BNSF has maintained our historic train-symbol approach to identifying unit trains, which is used consistently in our company communications and tools used by our customers, and the historic informal and formal reporting provided to the STB, including the reporting required by 49 C.F.R. § 1250.2(a) on which the Act is based. To provide unit train specific metrics across the various reporting requirements, BNSF identifies unit trains by specific train symbols that reflect the specific service offerings available to our customers. For example, coal unit trains are identified by the letter at the start of the train symbol-C for loaded unit trains and E for empty unit trains. BNSF does not include intermodal trains in unit train reporting.
  • Reporting Period and Timing: Consistent with s. 77(5) of Act, each of BNSF's reports covers the period of 12:01AM Saturday to 11:59PM Friday with data being presented in the report due no later than five days after the last day of the period to which the information relates.

Conclusion

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.

CSXT

EXPLANATION OF METHODOLOGY

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.

  1. Train Speed. All CSXT trains in Canada, including cross-border trains, are operated as local trains. Local, passenger, maintenance of way trains and yard jobs are excluded from CSXT train speed measurements. As a result, CSXT anticipates no velocity to report.
  2. Terminal Dwell. CSXT has four locations in Canada with reportable dwell events (note: four additional locations have negligible car counts; due to confidentiality concerns the data at these locations have been rolled up into a larger terminal). CSXT will report weekly average terminal dwell time, in hours, for these four locations.
  3. Weekly average cars on line. CSXT will report the weekly average of cars on line.
  4. Dwell time at origin for unit trains. CSXT anticipates no dwell time at origin for unit trains to report because CSXT does not originate any of the applicable unit train types in Canada.
  5. Trains holding. CSXT anticipates no trains holding to report because CSX does not move any of the applicable unit train types in Canada.
  6. Weekly average number of cars that have not moved in 48 hours or greater. CSXT will report loaded cars and empty cars in revenue service that dwell for 48 hours or greater. Cars will be reported by the requested classification based on a combination of STCC, car type and CSXT line-of-business. CSXT will report this statistic as the weekly average of seven daily same-time snapshots.
  7. Grain cars loaded and billed by state. CSXT anticipates no grain shipments to report because CSXT does not have any grain shipments in Canada.
  8. For grain reported in (7), railroad-owned or leased cars that move in manifest service. CSXT anticipates nothing to report because CSXT does not have any grain shipments in Canada. CSXT will periodically validate that there is nothing to report for categories 1, 4, 5, 7 and 8. Reporting will commence for categories 1, 4, and 5 when four or more of an applicable train type are operated during the week. As expressed in CSXT's Explanation of Methodology to the STB, less than four trains in a given week is not viewed as statistically significant for service metric reporting purposes.

Norfolk Southern

Data Methodology

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.

  1. Average Train Speed.
    NSR calculates train speeds for its U.S. system from data capturing the total train miles in line haul movement as well as the train transit segment move days by train type. NSR's daily interchange operation with CN is performed with a local train operating out of Buffalo, NY. NSR does not include local trains in its train speed reporting or capture train speed data for local trains. As a result, NSR's average train speed for all train types in Canada is N/A.
  2. Weekly Average Terminal Dwell.
    NSR does not have any terminals in Canada. As a result, NSR's weekly average terminal dwell in Canada is N/A.
  3. Weekly Average Cars on Line.
    NSR does not have any tracks or facilities in Canada. Any NSR traffic moving into Canada is interchanged to CN upon arriving in CN's Fort Erie Yard, and any NSR traffic received in interchange from CN in CN's Fort Erie Yard is moved directly across the border and into NSR's rail system in the United States. Therefore, NSR does not have any cars on line located in Canada. As a result, NSR's weekly cars on line for all car types is Zero.
  4. Weekly Average Dwell Time at Origin.
    NSR does not originate any traffic in Canada. As a result, NSR's weekly average dwell time at origin is N/A.
  5. Weekly Average Number of Trains Holding Per Day and by Cause.
    NSR does not have any tracks or facilities in Canada, and does not have the right to hold trains on the less than two miles of CN track over which it operates to facilitate interchange. As a result, NSR's weekly average number of trains holding per day is Zero.
  6. Weekly Average of Loaded and Empty Cars Not Moving in 48 Hours.
    NSR does not have any tracks or facilities in Canada, and does not have the right to store cars on the less than two miles of CN track over which it operates to facilitate interchange. Cars being interchanged to CN in Ft. Erie go into CN's account upon delivery, and cars received from CN in interchange in Ft. Erie only enter NSR's account when NSR picks up the cars to pull to Buffalo. As a result, NSR's weekly average of loaded and unloaded cars which have not moved in 48 hours is Zero.
  7. Weekly Total Number of Grain Cars Loaded and Billed by Province.
    NSR does not originate any traffic in Canada. As a result, NSR's weekly total number of grain cars loaded and billed in each province is Zero.
  8. Grain Car Orders Placed and Filled by Province.
    NSR does not originate any traffic in Canada. As a result, NSR's weekly total number of grain car orders placed and filled in each province is Zero.

Union Pacific

Background

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.

Methodology

  1. Average Train Speed
    Average Train Speed is calculated by dividing train-miles by total hours from origin to destination, less intermediate terminal time. This measure excludes the following train categories: yard, local, passenger, foreign, and maintenance of way.
    For the purposes of reporting under Section 77 of the Transportation Modernization Act (TMA), Union Pacific's Average Train Speed is either a null quantity or "not applicable": (1) calculations should not include data from activities occurring in the United States (e.g., the portion of the movement between the U.S. origin/destination and the U.S./Canadian border); (2) the portion of the Union Pacific movement in Canada is limited to the distance sufficient to get the train over the border; (3) Union Pacific crews interchange after the last northbound car clears the border, so there is no true Canadian movement on Union Pacific to a destination; and (4) Union Pacific crews pick up southbound trains approximately 100 feet north of the U.S. border and then proceed through the VACIS machine, thus there is effectively no Canadian movement from origin.
  2. Average Terminal Dwell
    Average Terminal Dwell measures the average hours a car resides at the specified terminal location. It begins with train arrival, customer release, or interchange receipt. The measure ends with train departure, customer placement (actual or constructive), interchange offering or delivery. This measure excludes cars moving through the terminal on run-through trains, stored cars, bad ordered cars, and maintenance of way cars.
    For TMA purposes, Union Pacific's Average Terminal Dwell is a null quantity. Even assuming that the VACIS machine constitutes a "terminal," the southbound trains are run-through trains – thus no dwell. Even if there were a "dwell", the measure does not include that "dwell" during a movement by Union Pacific in Canada. For southbound movements, Union Pacific crews pick up the train approximately 100 feet north of the U.S. border and then move the train directly across the border. For southbound traffic, any dwell while on Union Pacific is south of the border, and any dwell in Canada would occur after interchange to Canadian Pacific.
  3. Weekly Average Cars
    Average Cars On Line for the Week is the average daily inventory of all freight cars in the revenue fleet regardless of location or status, and includes cars on shortline railroads, cars delivered to customer facilities, and stored cars.
    For TMA purposes, Union Pacific's Weekly Average Cars is also a null quantity or "not applicable." Union Pacific has no trackage in Canada, and thus no cars online within Canada. We expect that Union Pacific's Canadian interchange partners report any cars online in Canada that are delivered by or destined for Union Pacific on cross-border movements.
  4. Weekly Average Dwell Times at Origin
    Weekly Average Dwell measures the time from customer release to train departure at origin. The release would be measured using the last cut of five or more cars and would include both loaded and empty movements. This measure excludes trains received in interchange from another railroad and intermodal trains.
    For TMA purposes, this number for Union Pacific is either a null quantity or "not applicable." Because the statutory measure excludes trains received in interchange from another railroad, southbound cross-border movements received in interchange from Canadian Pacific are, by definition, excluded. For northbound cross-borders movements, any origin on Union Pacific is in the United States, and thus not a Canadian origin.
  5. Average Number of Train Holdings (5a Crew, 5b Power, 5c Other)
    Average Weekly Trains Held Short of Destination or Scheduled Interchange is a cumulative measure using daily snapshots of active trains held for more than six consecutive hours and excluding yard and local trains. The measure is broken down by the attributing causes: (a) crew limitations; (b) lack of locomotive power; and (3) other (e.g., track maintenance, mechanical issues). This measure excludes non-Union Pacific holds, including customer holds, holds due to other railroads, rail incidents, and weather.
    For TMA purposes, this measure for Union Pacific is a null quantity. Any holds for southbound cross-border trains are on Canadian railroads, not Union Pacific. Any holds on Union Pacific of northbound cross-border trains are in the United States, not in Canada. Moreover, such holds are excluded from reporting. For example, trains delayed when moving through the VACIS machine, because of customs activity or the lack of track space north of the border, would be excluded non-Union Pacific holds.
  6. Average Cars Not Moving (6a Loaded, 6b Empty)
    Average Weekly Total Cars in Service Not Moving is measured using a daily snapshot of in-service freight cars that have not moved for 48 or more hours. The measure starts with the pull from the customer facility or interchange pick-up and excludes cars in hold status, empty cars not billed to a specific consignee, and non-revenue movements.
    For TMA purposes, this measure for Union Pacific is a null quantity. Pulls from customer facilities by Union Pacific occur solely within the United States. For southbound cross-border movements, Union Pacific has no pulls from customer facilities in Canada. Union Pacific's pick-ups from interchange at the Canadian border involve no cars "not moving" because interchange only occurs when Union Pacific's crew arrives and actually begins to move the cars across the Canadian border into the United States.
  7. Grain Performance
    Weekly Total Grain Cars Loaded and Billed is measured by aggregating the following Standard Transportation Commodity Codes (STCCs): 01131 (barley); 01132 (corn); 01133 (oats); 01135 (rye); 01136 (sorghum grains); 01137 (wheat), 01139 (grain, not elsewhere classified), 01144 (soybeans), 01341 (beans, dry), 01342 (peas, dry), and 01343 (cowpeas, lentils, or lupines).
    For TMA purposes, Union Pacific's Weekly Total Grain Cars measure is a null quantity. Union Pacific does not load grain cars in Canada, and it does not bill for any transportation provided within Canada. All such billing is by Union Pacific's Canadian interchange partners.

Information for respondents

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I hereby authorize Statistics Canada to disclose any or all portions of the data supplied on this questionnaire that could identify this department.

  • Yes
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Section 1 - Identifying Intellectual Property (IP)

1.1 Reports and disclosures

Please indicate the number of new instances of Intellectual Property reported or disclosed during the reference year 2019/2020.

Please indicate how many instances of Intellectual Property (not necessarily new) resulted in protection activity by this organization and how many were declined for protection by this organization.

The types of Intellectual Property are defined in the Respondent Guide, Section 4.1.1.

In this question, the number of new IP reports and disclosures and the number of IP reports and disclosures (resulting in protection activity and / or declined for protection) are asked for the following categories:

  • Inventions
  • Copyrightable IP (computer software, databases, educational material, other material)
  • Industrial designs
  • Trademarks
  • Integrated circuit topographies
  • New plant varieties
  • Know-how
  • Other (please specify):

Section 2 - Protecting Intellectual Property (IP)

2.1 Patents

2.1 a) During reference year 2019/2020, how many initiating and follow-on patents were applied for and how many patents were issued with the support of this organization? Initiating patent applications include provisional or first filings.

Follow-on patent applications include any that claim priority from an initiating patent application.

International (for example, Patent Cooperation Treaty applications, PCT) and regional applications (e.g., European Patent Office applications) should be counted as single applications.

In this question, the number of New patent applications (Initiating, Follow-on, and Total) and Total patents issued are requested.

2.1 b) Patents held, commercialized and pending

In this question, the Total number are asked of each of the following categories:

  • Total patents held (including patents issued during the reference year)
  • Total patents pending
  • Patents (held or pending) licensed, assigned or otherwise commercialized during the reference year

Section 3 - Licences

3.1 New and active licences

Please report the number of new licences executed during the reference year 2019/2020 and the number of active licences at the end of the reference year 2019/2020. If detailed figures are not available, please report totals in the appropriate cells. Please see the Respondent Guide, Section 4.3.1, for detailed definitions.

In this question, the number of exclusive or sole licence, Non-exclusive or multiple licences, and total are asked of each of the following categories:

  1. New licences executed with Canadian licensees
  2. New licences executed with foreign licensees
    Total new licence (a + b)
  3. Active licences executed with Canadian licensees
  4. Active licences executed with foreign licensees
    Total active licences (c + d)

3.2 Income received from IP

Please specify the nature of the income received during the reference year 2019/2020 from IP commercialization.

In this question, Income received from IP commercialization (in thousands of Canadian dollars) are asked for the following:

  • Running royalties and milestones payments
  • One-time sale of IP (in exchange for a single payment or several payments)
  • Reimbursement of patent, legal and related costs
  • Licence income received from another Canadian institution under a revenue sharing agreement
  • Other (please specify):
  • Other (please specify):
  • Total income received from IP commercialization

Section 4 - Respondent Guide

This questionnaire, in general, covers the intellectual property generated from R&D activities. We acknowledge that commercializable IP arises from other activities as well and that it may be difficult to differentiate. Whenever possible, please report figures for IP generated from R&D activities. If this is not possible, please note that the figures include IP generated from non-R&D activities.

If exact numbers are not readily available, please provide estimates with a note indicating this.

Please do not leave any question blank. Enter zero responses with the digit «0» if the value is known to be zero. If the data are not available, enter «N/A». In cases where the question is not applicable, please indicate this.

Report all dollar amounts in thousands of Canadian dollars.

Notes on survey questions

1.1 Identifying IP – Reports and disclosures:

  • Invention: Includes any new and useful art, process, machine, manufacture or composition of matter, or any new and useful improvement in any art, process, machine, manufacture or composition of matter (Public Servants Inventions Act. R.S., c. P-31, s. 1.). Some inventions are patentable in some jurisdictions but not in others: these include novel genetically-engineered life forms, new microbial life forms, methods of medical treatment and computer software.
  • Copyrightable IP can be broken into the following:
    • Computer software or databases: As noted above, computer software can be patented but normally it is protected by copyright. Databases may also be copyrighted.
    • Educational materials: This category includes special materials that may be copyrighted but are not necessarily in the form of printed books. This could include broadcast lessons, Internet pages, booklets, posters or computer files, among others.
    • Other material: This category includes any copyrightable works other than computer software and databases and special educational materials such as literary, artistic, dramatic or musical works, books, and papers.
  • Industrial designs: These are original shapes, patterns or ornamentations applied to a manufactured article. Industrial designs are protected by registration with the Canadian Intellectual Property Office.
  • Trademarks: These are words, symbols, designs, or combinations thereof used to distinguish your wares or services from someone else's. Trademarks are registered with the Canadian Intellectual Property Office.
  • Integrated circuit topographies: This is a three-dimensional configuration of the electronic circuits used in microchips and semiconductor chips. Integrated circuit topographies can be protected by registration with the Canadian Intellectual Property Office.
  • New plant varieties: Certain plant varieties that are new, different, uniform and stable may be protected by registration with the Plant Breeders' Rights Office, Canadian Food Inspection Agency.
  • Know-how: This is practical knowledge, technique or expertise. For example, certain information is codified in the patent application but a researcher's know-how could be valuable for commercial optimization of the product. Know-how can be licensed independently of the terms of a related patent.

2.1 Patents:

  • Initiating patent applications include provisional or first filings.
  • Follow-on patent applications include any that claim priority from an initiating patent application.
  • Patents pending: A label sometimes affixed to new products informing others that the inventor has applied for a patent and that legal protection from infringement (including retroactive rights) may be forthcoming.

3.1 New and active licences:

  • "New licences executed" refers to the completion of an agreement with a client to use the institution's intellectual property for a fee or other consideration (such as equity in the company).
  • "Exclusive or Sole licences" refers to agreements allowing only one client the right to use the intellectual property.
  • "Exclusive licence" refers to one granted that is exclusive for a territory, for a field of use worldwide or otherwise. Hence, there may be multiple exclusive licences for a single patent.

3.2 Income received is in thousands of Canadian dollars:

  • Running royalties are those based on the sale of products.
  • Milestone payments are those made by a licensee at predetermined points in the commercialization process.
  • One time sales of IP includes income from assignments to commercial exploiters.
  • Other income received from IP: For example, if a potential licensee contributes the funds to apply for the patent, this could be considered another source of income. Please list all items whether or not figures are available.

Contact Person

Name of the contact person who completed this questionnaire:

  • First name
  • Last name
  • Title
  • Email address
  • Telephone number
  • Extension
  • Fax number

How long did you spend collecting the data and completing the questionnaire?

  • hour(s)
  • minutes

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