Survey of Commercial and Institutional Energy Use (SCIEU): Post-Secondary institutions and hospitals, 2019

Reporting period

For the purposes of this survey, report information for the year 2019.

What will you need to complete this questionnaire

For size of the building, you can refer to the Building Occupancy Permit, fire protection drawings, or architectural drawings.

Reporting instructions

  • Percentages should be rounded to whole numbers.
  • When precise figures are not available, provide your best estimates.
  • Enter "0" if there is no value to report.

Definitions

Post-secondary institution:
An educational institution that is attended after obtaining a high school diploma or equivalent.

Hospital:
A healthcare institution providing medical and surgical treatment and nursing care for sick or injured people.

Why have you been selected?

Statistics Canada uses a statistical method called sampling. It is an established way to determine characteristics of an entire population by surveying only part of the population.

Hospitals: Few hospitals are present in Canada and we need information from all of them to be able to produce accurate statistics on their energy use at the provincial/territorial level.

Post-secondary institutions: 98% of the post-secondary institutions in Canada were selected as part of a random sample to represent the population of post-secondary institutions.

It is important that all institutions answer to be able to produce accurate statistics on their energy use at the provincial/territorial level.

Who should complete this questionnaire?

This questionnaire should be completed by the person most knowledgeable about the energy consumption and usage of this building.

i.e., someone who has access to energy bills and knowledge about the structure and details of this building (e.g., property manager, building manager, facilities manager, building owner).

How do we protect your information?

Statistics Canada is committed to respecting the privacy of consultation participants. All personal information created, held or collected by the agency is protected in accordance with the Privacy Act.

Deadline for completing this questionnaire

Please complete this questionnaire and submit it within 15 days of receipt.

Printing your completed questionnaire

You can print this questionnaire once you have completed and submitted it.

Business or organization and contact information

1. Verify or provide the business or organization's legal and operating name and correct where needed.

Note: Legal name modifications should only be done to correct a spelling error or typo.

Legal name:

Operating name (if applicable):

2. Verify or provide the contact information of the designated business or organization contact person for this questionnaire and correct where needed.

Note: The designated contact person is the person who should receive this questionnaire. The designated contact person may not always be the one who actually completes the questionnaire.

First name:

Last name:

Title:

Preferred language of communication

  • English
  • French

Mailing address (number and street):

City:

Province, territory or state

  • Alberta
  • British Columbia
  • Manitoba
  • New Brunswick
  • Newfoundland and Labrador
  • Northwest Territories
  • Nova Scotia
  • Nunavut
  • Ontario
  • Prince Edward Island
  • Quebec
  • Saskatchewan
  • Yukon
  • Alabama
  • Alaska
  • American Samoa
  • Arizona
  • Arkansas
  • California
  • Colorado
  • Connecticut
  • Delaware
  • District of Columbia
  • Federated States of Micronesia
  • Florida
  • Georgia
  • Guam
  • Hawaii
  • Idaho
  • Illinois
  • Indiana
  • Iowa
  • Kansas
  • Kentucky
  • Louisiana
  • Maine
  • Marshall Islands
  • Maryland
  • Massachusetts
  • Michigan
  • Minnesota
  • Mississippi
  • Missouri
  • Montana
  • Nebraska
  • Nevada
  • New Hampshire
  • New Jersey
  • New Mexico
  • New York
  • North Carolina
  • North Dakota
  • Northern Mariana Islands
  • Ohio
  • Oklahoma
  • Oregon
  • Palau
  • Pennsylvania
  • Puerto Rico
  • Rhode Island
  • South Carolina
  • South Dakota
  • Tennessee
  • Texas
  • U.S. Minor Outlying Islands
  • Utah
  • Vermont
  • Virgin Islands of the U.S.
  • Virginia
  • Washington
  • West Virginia
  • Wisconsin
  • Wyoming

Postal code or ZIP code:

Example: A9A 9A9 or 12345-1234

Country

  • Canada
  • United States

Email address:
Example: user@example@example.gov.ca

Telephone number (including area code):
Example: 123-123-1234

Extension number (if applicable):

Fax number (including area code):
Example: 123-123-1234

3. Verify or provide the current operational status of the business or organization identified by the legal and operating name above.

  • Operational
  • Not currently operational
    e.g., temporarily or permanently closed, change of ownership
    • Why is this business or organization not currently operational?
    • Seasonal operations
      • When did this business or organization close for the season?
        • Date:
          Example: YYYY-MM-DD
      • When does this business or organization expect to resume operations?
        • Date:
          Example: YYYY-MM-DD
    • Ceased operations
      • When did this business or organization cease operations?
        • Date:
          Example: YYYY-MM-DD
      • Why did this business or organization cease operations?
        • Bankruptcy
        • Liquidation
        • Dissolution
        • Other
      • Specify the other reasons why the operations ceased:
    • Sold operations
      • When was this business or organization sold?
        • Date:
          Example: YYYY-MM-DD
      • What is the legal name of the buyer?
    • Amalgamated with other businesses or organizations
      • When did this business or organization amalgamate?
        • Date:
          Example: YYYY-MM-DD
      • What is the legal name of the resulting or continuing business or organization?
      • What are the legal names of the other amalgamated businesses or organizations?
    • Temporarily inactive but will re-open
      • When did this business or organization become temporarily inactive?
        • Date:
          Example: YYYY-MM-DD
      • When does this business or organization expect to resume operations?
        • Date:
          Example: YYYY-MM-DD
      • Why is this business or organization temporarily inactive?
    • No longer operating due to other reasons
      • When did this business or organization cease operations?
        • Date:
          Example: YYYY-MM-DD
      • Why did this business or organization cease operations?

4. Verify or provide the current main activity of the business or organization identified by the legal and operating name above.

Note: The described activity was assigned using the North American Industry Classification System (NAICS).

Description and examples

  • This is the current main activity
  • This is not the current main activity
    • Provide a brief but precise description of this business or organization's main activity:
      e.g., breakfast cereal manufacturing, shoe store, software development

Main activity

5. You have indicated that this is not the current main activity.

Was this business or organization's main activity ever classified as this NAICS code:

  • Yes
    • When did the main activity change?
      • Date:
        Example: YYYY-MM-DD
  • No

6. Search and select the industry classification code that best corresponds to this business or organization's main activity.

Select this business or organization's activity sector (optional)

  • Farming or logging operation
  • Construction company or general contractor
  • Manufacturer
  • Wholesaler
  • Retailer
  • Provider of passenger or freight transportation
  • Provider of investment, savings or insurance products
  • Real estate agency, real estate brokerage or leasing company
  • Provider of professional, scientific or technical services
  • Provider of health care or social services
  • Restaurant, bar, hotel, motel, or other lodging establishment
  • Other sector

7. You have indicated that the current main activity of this business or organization is:

Are there any other activities that contribute significantly (at least 10%) to this business or organization's revenue?

  • Yes, there are other activities
    • Provide a brief but precise description of this business or organization's secondary activity
      e.g., breakfast cereal manufacturing, shoe store, software development
  • No, that is the only significant activity

8. Approximately what percentage of this business or organization's revenue is generated by each of the following activities?

When precise figures are not available, provide your best estimates.

  • Main activity
    Percentage of revenue:
  • Secondary activity
    Percentage of revenue:
  • All other activities
    Percentage of revenue:

Total percentage:

Institution information

1. Verify or provide the information regarding this institution below and correct where needed.

Note: Institution information modifications should only be done to correct an error.

Institution name:

Campus name:

Mailing address (number and street):

City:

Province or territory:

  • Alberta
  • British Columbia
  • Manitoba
  • New Brunswick
  • Newfoundland and Labrador
  • Northwest Territories
  • Nova Scotia
  • Nunavut
  • Ontario
  • Prince Edward Island
  • Quebec
  • Saskatchewan
  • Yukon

Postal code:
Example: A9A 9A9

Contact information

2. Verify or provide the contact information for the designated contact person for this questionnaire and correct where needed.

Note: The designated contact person should be the person who is best suited to answer this questionnaire. This person would be someone who is knowledgeable about the energy consumption and usage of this building.

Institution or Organization:

First name:

Last name:

Title:

Preferred language:

  • English
  • French

Email address:
Example: user@example.gov.ca

Telephone number (including area code):
Example: 123-123-1234

Extension number (if applicable):

Mailing address (number and street):

City:

Province, territory or state:

  • Alberta
  • British Columbia
  • Manitoba
  • New Brunswick
  • Newfoundland and Labrador
  • Northwest Territories
  • Nova Scotia
  • Nunavut
  • Ontario
  • Prince Edward Island
  • Quebec
  • Saskatchewan
  • Yukon
  • Alabama
  • Alaska
  • American Samoa
  • Arizona
  • Arkansas
  • California
  • Colorado
  • Connecticut
  • Delaware
  • District of Columbia
  • Federated States of Micronesia
  • Florida
  • Georgia
  • Guam
  • Hawaii
  • Idaho
  • Illinois
  • Indiana
  • Iowa
  • Kansas
  • Kentucky
  • Louisiana
  • Maine
  • Marshall Islands
  • Maryland
  • Massachusetts
  • Michigan
  • Minnesota
  • Mississippi
  • Missouri
  • Montana
  • Nebraska
  • Nevada
  • New Hampshire
  • New Jersey
  • New Mexico
  • New York
  • North Carolina
  • North Dakota
  • Northern Mariana Islands
  • Ohio
  • Oklahoma
  • Oregon
  • Palau
  • Pennsylvania
  • Puerto Rico
  • Rhode Island
  • South Carolina
  • South Dakota
  • Tennessee
  • Texas
  • U.S. Minor Outlying Islands
  • Utah
  • Vermont
  • Virgin Islands of the U.S.
  • Virginia
  • Washington
  • West Virginia
  • Wisconsin
  • Wyoming

Postal code or ZIP code:
Example: A9A 9A9 or 12345-1234

Country

  • Canada
  • United States
  • Other

Institution information

3. On December 31st, 2019, which of the following categories described this institution?

Post-secondary institution: An educational institution that is attended after obtaining a high school diploma or equivalent.

Hospital: A healthcare institution providing medical and surgical treatment and nursing care for sick or injured people.

Select all that apply.

  • Post-secondary institution
  • Hospital
    OR
  • None of the above

Specify other category:

4. On December 31st, 2019, how many buildings from this institution were located on this campus or this building?

Building: A structure totally enclosed by walls extending from a foundation to a roof.

Campus: A collection of buildings belonging to one organization. The campus does not have to be contiguous, only belonging to a grouping of buildings in close proximity that is apparent to the public.
i.e., as it is represented on campus maps

Total number of buildings located on this campus or this building:

5. On December 31st, 2019, did this institution have multiple campuses?

Campus: A collection of buildings belonging to one organization. The campus does not have to be contiguous, only belonging to a grouping of buildings in close proximity that is apparent to the public.
i.e., as it is represented on campus maps

Include all campuses associated with this institution.

  • Yes
    • On December 31st, 2019, how many campuses did this institution have?
    • Total number of campuses:
  • No

Campus information

6. Please provide the names of the campuses associated with this institution.

Campus 1

Campus name:

Campus characteristics

7. On December 31st, 2019, what was the combined total indoor floor area of the building located on this campus or this building?

Include floor area of all enclosed floors, mechanical rooms, common areas, basements, and annexes, if applicable.

Exclude floor area associated with any indoor parking, partially enclosed parking, or portable structures.

When precise figures are not available, please provide your best estimate.

Unit of measure:

  • Square feet
  • Square metres

Total combined indoor floor area of the building located on this campus or this building:

Area of campus

8. On December 31st, 2019, what was the total land area of this campus or this building?

Campus: A collection of buildings belonging to one organization. The campus does not have to be contiguous, only belonging to a grouping of buildings in close proximity that is apparent to the public.
i.e., as it is represented on campus maps

When precise figures are not available, please provide your best estimate.

Unit of measure

  • Acres
  • Hectares

Total land area of this campus or this building:

Institution information

9. On December 31st, 2019, which of the following categories best described this post-secondary institution at this campus or this building?

  • University
    An establishment primarily engaged in providing academic courses and granting degrees at the bachelor or graduate levels. The requirement for admission is at least a high school diploma or equivalent general academic training for baccalaureate programs, and often a baccalaureate degree for professional or graduate programs.
  • College
    An establishment primarily engaged in providing academic or academic and technical courses and granting associates degrees, certificates and or diplomas, the requirement for admission to an associate or equivalent degree program is at least a high school diploma or equivalent general academic training.
  • Technical school
    An establishment primarily engaged in providing technical training in a variety of technical subjects and the science behind the occupation. Training often leads to non-academic certification. Correspondence schools are also included.
  • Trade or Vocational school
    An establishment primarily engaged in providing vocational training in a variety of trades focussing on hands-on application of skill. Training often leads to non-academic certification. Correspondence schools are also included.
  • Cégep (Collège d'enseignement général et professionnel)
    A publicly funded post-secondary education establishment attended after high school and before university, exclusive to the province of Quebec's education system.
  • Adult education
    An establishment primarily engaged in providing elementary, intermediate, or secondary (Kindergarten to Grade 12 or secondary 5 in Québec) education to adult students.
  • Other
    Specify other post-secondary institution type:

Hospital types

10. On December 31st, 2019, which of the following categories described the hospital at this campus or this building?

Select all that apply.

  • General medical and surgical hospital
    An institution that is primarily engaged in providing diagnostic, therapeutic, and rehabilitative services for medical diagnosis, treatment including surgery, and care to injured, disabled, by or under the supervision of physicians.
  • Long term acute care hospital
    A certified institution that provides medical acute care for extended inpatient days, defined as an average of 25 days or more.
  • Critical access hospital
    Rural community hospitals that receive cost-based reimbursement.
  • Cancer centre
    A hospital that specializes only in the care of patients with cancer.
  • Behavioural care facility
    An outpatient treatment centre for patients with psychiatric or mental disorders, such as Alzheimer's or other developmental disabilities.
    Include outpatient and psychiatric counseling for patients with a substance abuse problem.
  • Rehabilitation centre or hospital
    A recovery facility oriented toward long-term treatment and training of sick or injured persons. Rehabilitation centres specialize in physical therapy for accident, trauma or stroke victims.
  • Psychiatric hospital
    A medical institution where the primary function is to treat patients who have psychiatric related illnesses.
  • Post-acute care or skilled nursing
    A medical institution that provides non-acute medical and skilled nursing care services, therapy, and social services under the supervision of a licensed registered nurse on a 24-hour basis.
  • Veterinary
    A facility that specialized in the care of animals.
  • Other
    e.g., cardiac, orthopedic, children's or women's hospital
    Specify other specialty hospital type:

11. On December 31st, 2019, what was the percentage of floor space used for the following hospital types at this campus or this campus or this building?

Provide your best estimate rounded to the nearest percentage.

  • General medical and surgical hospital
    Percentage of floor space:
  • Long term acute care hospital
    Percentage of floor space:
  • Critical access hospital
    Percentage of floor space:
  • Cancer centre
    Percentage of floor space:
  • Behavioural care facility
    Percentage of floor space:
  • Rehabilitation centre or hospital
    Percentage of floor space:
  • Psychiatric hospital
    Percentage of floor space:
  • Post-acute care or skilled nursing
    Percentage of floor space:
  • Veterinary
    Percentage of floor space:
  • Other specialty hospital type
    Percentage of floor space:

Hospital area type

12. On December 31st, 2019, what types of hospital areas, as defined by CAN/CSA Z317, 2-15, did this campus or this building have?

CAN/CSA Z317, 2-15:
CSA developed standard with regard to special requirement for heating, ventilation and air-conditioning (HVAC) systems in health care facilities. CSA and the National Standards of Canada identified categorizations of health cares service delivery according to stringency of HVAC and environmental requirements.

Select all that apply.

  • Type I
    An area where there are stringent requirements due to the invasiveness of procedures, the level of risk of morbidity and mortality, or the level of adverse outcomes to care providers.
    • What was the total floor area of hospital categorized as Type I?
    • When precise figures are not available, please provide your best estimate.
    • Unit of measure:
      • Square feet
      • Square metres
    • Total floor area categorized as Type I:
  • Type II
    A patient care area intended to provide support services.
    e.g., lab, medical device reprocessing departments
    • What was the total floor area of hospital categorized as Type II?
    • When precise figures are not available, please provide your best estimate.
    • Unit of measure:
      • Square feet
      • Square metres
    • Total floor area categorized as Type II:
  • Type III
    An area where all support services are not designated as Type I or Type II.
    • What was the total floor area of hospital categorized as Type III?
      When precise figures are not available, please provide your best estimate.
    • Unit of measure:
      • Square feet
      • Square metres
    • Total floor area categorized as Type III:

Institution information

13. In which year was this campus or this building founded?

When the precise year this campus or this building was founded is not available, please provide your best estimate.

Year this campus or this building was founded:

14. On December 31st, 2019, which of the following categories best described the ownership of this campus or this building?

  • Corporation or partnership
  • Private individuals
  • Private organization (for profit)
  • Non-profit organization (other than religious or government)
  • Religious organization
  • Private academic institution
  • Municipal government
  • Provincial or territorial government
  • Federal government, Crown Corporation, or agency of federal government
  • First nations, Métis or Inuit
  • Other
    Specify other ownership type:
  • Do not know

15. During a typical week in the 2019 calendar year, what were the total weekly operating hours for this campus or this building?

Exclude hours during which maintenance, housekeeping, or security staff are working outside of the normal operating hours.
e.g., for a campus that is typically open from 8 am to 5 pm, Monday to Friday, the total weekly operating hours is 45 hours

If the hours vary for different parts of the campus, report the hours for the part of the campus with the largest area.

Hospital: when the hospital is providing healthcare to the public.

Post-Secondary institution: hours of classes offered in a typical week.

When precise figures are not available, please provide your best estimate.

Total weekly operating hours:

16. During the 2019 calendar year, which months was this campus or this building partially or fully in use for institutional or organizational activities? 

Hospital: when the hospital is providing healthcare to the public.

Post-Secondary institution: when classes are in session.

  • For all 12 months
  • For certain months
    • Select the months for which this campus or this building was partially or fully in use.
      Select all that apply.
      • January
      • February
      • March
      • April
      • May
      • June
      • July
      • August
      • September
      • October
      • November
      • December
  • At no time during the 2019 calendar year
    e.g., this campus or this building was entirely vacant or under construction

Post-secondary information

17. For the following semesters during the 2019 calendar year, specify the number of full-time and part-time students registered at this campus or this building.

Include international students.

When precise figures are not available, please provide your best estimate.

Winter semester (January - April 2019)

Number of full-time students for the winter semester:

Number of part-time students for the winter semester:

Spring and summer semester (May – August 2019)

Number of full-time students for the spring and summer semester:

Number of part-time students for the spring and summer semester:

Fall semester (September - December 2019)

Number of full-time students for the fall semester:

Number of part-time students for the fall semester:

Institution information

18. During its main shift, approximately how many employees and volunteers work at this campus or this building?

Main shift: The shift when the greatest number of employees are in the campus or building. If the number of employees changes depending on the season, report for a main shift during the busiest season.

Include full-time and part-time employees.

Exclude contractors.

When precise figures are not available, please provide your best estimate.

  • Number of employees:
  • Number of volunteers:
    OR
  • Do not know

Parking characteristics

19. On December 31st, 2019, which of the following types of on-site parking did this campus or this building have?

Select all that apply.

  • Indoor Parking
    A covered parking area that is fully enclosed with a door and is mechanically ventilated. It does not include partially enclosed structures.
    • Was the indoor parking heated?
      • Yes
      • No
    • What was the total area of the indoor parking?
      Unit of measure
      • Square feet
      • Square metres
    • Total area of indoor parking:
      OR
    • Do not know
      • Number of indoor parking spaces:
  • Partially enclosed parking
    A covered parking with one or more walls, fully or partially, open to the exterior.
    How would you like to provide information about your partially enclosed parking?
    • What was the total area of the partially enclosed parking?
      Unit of measure:
      • Square feet
      • Square metres
    • Total area of partially enclosed parking:
    • What was the total number of partially enclosed parking spaces?
      • Number of partially enclosed parking spaces:
    • Was the partially enclosed parking area shared with other buildings?
      • Yes
      • No
  • Outdoor parking
    Uncovered parking area without enclosed walls. Exclude partially enclosed parking areas.
    How would you like to provide information about your outdoor parking?
    • What was the total area of the outdoor parking?
      Unit of measure:
      • Square feet
      • Square metres
    • Total area of outdoor parking:
    • What was the total number of outdoor parking spaces?
      • Provide the number of outdoor parking spaces:
  • No on-site parking

Emergency services

20. On December 31st, 2019, did this campus or this building have a station dedicated to the deployment of emergency vehicles?

Emergency vehicle: A vehicle typically equipped with audible and visible warning devices that transports personnel and equipment to emergency incidents.
e.g., ambulances, paramedic vehicles, police cruisers, fire engines, fire trucks

  • Yes
    • On December 31st, 2019, how many emergency vehicles were stationed at this campus or this building?
    • When precise figures are not available, please provide your best estimate.
    • Number of emergency vehicles:
  • No

21. On December 31st, 2019, how many garage doors for emergency vehicles did this campus or this building have?

Garage door for emergency vehicles: A garage door exclusively used for emergency vehicles such as ambulances, paramedic vehicles, police cruisers, fire engines, fire trucks.

When precise figures are not available, please provide your best estimate.

Number of garage doors for emergency vehicles:

22. During the 2019 calendar year, how many incidents were responded to by emergency vehicles stationed at this campus or this building?

Incident: A natural or human caused event that requires an emergency response to aid in the protection of life.

When precise figures are not available, please provide your best estimate.

Number of incidents responded to from this campus or this building:

Hospital specific questions

23. On December 31st, 2019, what was the total bed capacity of this campus or this building?

Include licensed beds.

Exclude cots, gurneys and temporary beds.

When precise figures are not available, please provide your best estimate.

Total bed capacity:

24. During the 2019 calendar year, what was the number of inpatient days and outpatient visits at this campus or this building?

Inpatient days: Number of days for which lodging, treatment and services are provided to admitted patients at a hospital.

Outpatient visits: Number of patient visits at a medical facility, for diagnoses or treatment without formal admission, including emergency overnight visits.

When precise figures are not available, please provide your best estimate.

Inpatient days:

Outpatient visits:

Magnetic Resonance Imaging (MRI) equipment

25. On December 31st, 2019, was there Magnetic Resonance Imaging (MRI) equipment in use at this campus or this building? 

  • Yes
    • On December 31st, 2019, how many Magnetic Resonance Imaging (MRI) machines were in use at this campus or this building?
    • When precise figures are not available, please provide your best estimate.
    • Number of MRI machines:
  • No

Hospital specific questions

26. On December 31st, 2019, was there sterilization equipment in use at this campus or this building?

Sterilization equipment: Equipment dedicated to inactivate or remove all living organisms (including vegetative and spore forms) as well as viruses.

  • Yes
    • On December 31st, 2019, how many pieces of sterilization equipment were in use at this campus or this building?
    • When precise figures are not available, please provide your best estimate.
    • Number of pieces of sterilization equipment in use:
  • No

27. What was the total volume (i.e., chamber size) within the sterilization equipment reported?

Sterilization equipment: Equipment dedicated to inactivate or remove all living organisms (including vegetative and spore forms) as well as viruses.

If this campus or this building contains more than one piece of sterilization equipment, please provide the total volume of the combined pieces of sterilization equipment.

When precise figures are not available, please provide your best estimate.

Unit of measure:

  • Cubit feet
  • Cubic metres

Total volume within the sterilization equipment:

Electric vehicle charging stations

28. On December 31st, 2019, were there Electric vehicle (EV) charging stations in use at this campus or this building?

Include stations serving this campus or this building only.

  • Yes
    • On December 31st, 2019, how many Electric vehicle (EV) charging stations were in use at this campus or this building?
    • When precise figures are not available, please provide your best estimate.
    • Number of Electric vehicle (EV) charging stations in use at this campus or this building:
  • No

29. Which of the following best described the type of the electric vehicle (EV) charging station?

Include stations serving this campus or this building only.

  • Level 1 electric vehicle (EV) charger
    Level 1 charger: Uses standard electrical outlet and a 120 volt (V) alternating current (AC).
  • Level 2 electric vehicle (EV) charger
    Level 2 charger: Uses a 240 volt (V) alternating current (AC) plug.
  • Direct current fast electric vehicle (EV) charger
    Direct current fast charger: Power supplied through a 480 volt (V) direct current (DC) connection and typically a power output of 50 kW or greater.

30. Of the electric vehicle (EV) charging stations reported, what was the total number by type?

Include stations serving this campus or this building only.

  • Total number of level 1 electric vehicle (EV) chargers:
    Level 1 charger: Uses standard electrical outlet and a 120 volt (V) alternating current (AC).
  • Total number of level 2 electric vehicle (EV) chargers:
    Level 2 charger: Uses a 240 volt (V) alternating current (AC) plug.
  • Total number of direct current fast electric vehicle (EV) chargers:
    Direct current fast charger: Power supplied through a 480 volt (V) direct current (DC) connection and typically a power output of 50 kW or greater.

Post-secondary activity or function

31. On December 31st, 2019, which of the following activities or functions occurred at this campus or this building?

Select all that apply.

  • Classrooms, conference rooms, and theatres
    Include non-specialized meeting, teaching, studying and assembly space.
  • Cafeteria and food services
    Space used for cooking, food preparation, and refrigeration space.
    e.g., fast food restaurant, residence cafeteria
  • Retail
    Space designated to the sale of food and non-food goods requiring little to no cooking, refrigeration, or food preparation.
    e.g., convenience store, book store, grocery store
  • Laboratory
    Specialized instruction or research space that is not suitable for general use.
    i.e., caters to a specific program or group
  • Library
    Space used to store and manage collections of literary and artistic materials (e.g., books, periodicals, newspapers, films) that can be used for reference or lending.
    Include library study areas.
  • Office space
    Administrative office space.
    e.g., professor's offices, admin offices, student group offices, computer server rooms
  • Athletics facilities
    All indoor athletic and recreational space.
    e.g., ice rinks, gyms, weight training, curling rinks, pools
  • Warehouse
    General storage space.
    Include refrigerated and non-refrigerated warehouse space.
  • Residences
    Student living accommodations.
    Include sanitary amenities such as showers, washrooms, and laundry facilities.
  • Stadium
    Include both outdoor open-air and closed stadium.
  • Repair shops and manufacturing
    Technical area where repair, assembly, or fabrication occurs.
  • Other
    Include non-specific shared spaces.
    e.g., atriums, foyers
    • Specify other activity or function 1:
    • Specify other activity or function 2:
    • Specify other activity or function 3:

32. On December 31st, 2019, what was the percentage of floor space used for the following activities or functions at this campus or this building?

Please provide your best estimate rounded to the nearest percentage.

  • Classrooms, conference rooms, and theatres
    Include non-specialized meeting, teaching, studying and assembly space.
    Percentage of floor space:
  • Cafeteria and food services
    Space used for cooking, food preparation, and refrigeration space.
    e.g., fast food restaurant, residence cafeteria
    Percentage of floor space:
  • Retail
    Space designated to the sale of food and non-food goods requiring little to no cooking, refrigeration, or food preparation.
    e.g., convenience store, book store, grocery store
    Percentage of floor space:
  • Laboratory
    Specialized instruction or research space that is not suitable for general use.
    i.e., caters to a specific program or group
    Percentage of floor space:
  • Library
    Space used to store and manage collections of literary and artistic materials (e.g., books, periodicals, newspapers, films) that can be used for reference or lending.
    Include library study areas.
    Percentage of floor space:
  • Office space
    Administrative office space.
    e.g., professor's offices, admin offices, student group offices, computer server rooms
    Percentage of floor space:
  • Athletics facilities
    All indoor athletic and recreational space.
    e.g., ice rinks, gyms, weight training, curling rinks, pools
    Percentage of floor space:
  • Warehouse
    General storage space.
    Include refrigerated and non-refrigerated warehouse space.
    Percentage of floor space:
  • Residences
    Student living accommodations.
    Include sanitary amenities such as showers, washrooms, and laundry facilities.
    Percentage of floor space:
  • Stadium
    Include both outdoor open-air and closed stadium.
    Percentage of floor space:
  • Repair shops and manufacturing
    Technical area where repair, assembly, or fabrication occurs.
    Percentage of floor space:
  • Other activity 1
    Percentage of floor space:
  • Other activity 2
    Percentage of floor space:
  • Other activity 3
    Percentage of floor space:

Classrooms, conference rooms, and theatres

33. For the 2019 calendar year, report the maximum capacity of the classrooms, conference rooms, and theatre space at this campus or this building.

Maximum capacity: Total number of persons who can safely occupy the classrooms, conference rooms, and theatre space at one time.
i.e., maximum seats

When precise figures are not available, please provide your best estimate.

  • Classrooms
    Maximum capacity of classrooms (if not applicable enter "0"):
  • Conference rooms
    Maximum capacity of conference rooms (if not applicable enter "0"):
  • Theatre space
    Maximum capacity of theatre space (if not applicable enter "0"):

Commercial or institutional food preparation

34. On December 31st, 2019, did this campus or this building have a kitchen for commercial or institutional food preparation?

Commercial kitchen: A kitchen that is inspected by public health for large scale production of food for resale to the public.

Institutional kitchen: A kitchen that is inspected by public health for large scale production of food for distribution for employees, residents, or students.

Exclude kitchenettes, dormitory room kitchens, employee break rooms, pantries, concession stands, and service and seating areas.

  • Yes
    • On December 31st, 2019, what was the total floor area used for commercial or institutional food preparation?
    • If this campus or this building had more than one area used for commercial or institutional food preparation, please provide the combined total floor area.
    • When precise figures are not available, please provide your best estimate.
    • Unit of Measure
      • Square feet
      • Square metres
    • Total floor area for food preparation:
  • No

Food courts or cafeterias

35. On December 31st, 2019, did this campus or this building have any food courts or cafeterias?

Food court: An interior common area containing multiple food vendors surrounding tables and chairs for common use.

Cafeteria: A space where customers select food or are served at a counter. Food is generally paid for before consumption and taken to tables in surrounding area.

Exclude kitchenettes strictly for employee use.

  • Yes
  • No

36. On December 31st, 2019, did this food court or cafeteria primarily use reusable dishware?

Food court: An interior common area containing multiple food vendors surrounding tables and chairs for common use.

Cafeteria: A space where customers select food or are served at a counter. Food is generally paid for before consumption and taken to tables in surrounding area.

Exclude kitchenettes strictly for employee use.

  • Yes
  • No

37. On December 31st, 2019, what was the maximum interior seating capacity dedicated to the food courts or cafeterias at this campus or this building?

Maximum capacity: Total number of persons who can safely occupy the food courts, and cafeterias at one time.
i.e., maximum seats

When precise figures are not available, please provide your best estimate.

Maximum interior seating capacity dedicated to the food courts or cafeterias:

Dedicated computer server rooms

38. On December 31st, 2019, did this campus or this building have any computer server rooms with dedicated cooling and dedicated uninterruptable power?

Computer server room: A space specifically designed and equipped to meet the needs of high density computing equipment, such as server racks, used for data storage and processing. These typically have the following features:

  • a raised floor
  • dedicated uninterruptible power supply (UPS)
  • separate cooling system
  • humidity control
  • controlled access.
    Exclude server closets.
    • Yes
      • On December 31st, 2019, what was the total floor area of the computer server rooms with dedicated cooling and dedicated uninterruptable power at this campus or this building?
      • If this campus or this building contains more than one computer server room, please provide the combined total floor area.
      • When precise figures are not available, please provide your best estimate.
      • Unit of measure
        • Square feet
        • Square metres
      • Total floor area of computer rooms:
      • On December 31st, 2019, what was the total combined power of the computer server rooms?
        If this campus or this building contains more than one computer server, please provide the combined total power of all computer servers.
      • Unit of measure
        • Kilowatts
        • Megawatts
      • Total combined power of computer server rooms:
    • Do not know
    • No

Fitness centres

39. On December 31st, 2019, did this campus or this building have any fitness centres for weight or cardio training?

Fitness centre: A space that houses exercise equipment for the purpose of physical exercise.
e.g., individual strength training, cardiovascular exercises, group exercise classes

Exclude gymnasiums and racquet sport courts.

  • Yes
    • For the 2019 calendar year, provide the following information for the fitness centres.
      When precise figures are not available, please provide your best estimate.
    • What was the total floor area of the fitness centres?
      If this campus or this building contains more than one fitness centre, please provide the combined floor area.
    • Exclude change rooms and washrooms.
    • Unit of measure:
      • Square feet
      • Square metres
    • Total floor area of fitness centres:
    • Total number of powered fitness machines:
    • Powered fitness machines: Fitness equipment, supplied with power, used for cardiovascular exercise, weight lifting, or other.
      e.g., treadmills, stationary bicycles, rowing machines, powered ladders, powered stairs, powered weight lifting
      If there are no powered fitness machines report "0".
    • Total hours open for use per week:
  • No

Gymnasiums and racquet sport courts

40. On December 31st, 2019, did this campus or this building have any indoor gymnasiums or racquet sport courts?

Gymnasium: Space equipped for indoor sports, games and gymnastics (e.g., basketball, boxing, volleyball) but without any powered exercise equipment.

Racquet sport court: An indoor space used for various racquet sports (e.g., badminton, squash)

  • Yes
    • For the 2019 calendar year, provide the following information for the indoor gymnasiums and    racquet sport courts.
      When precise figures are not available, please provide your best estimate.
    • What was the total floor area of the indoor gymnasiums and racquet sport courts?
      If this campus or this building contains more than one gymnasium or racquet sport court, please provide the combined floor area.
    • Exclude change rooms and washrooms.
    • Unit of measure:
      • Square feet
      • Square metres
    • Total floor area of gymnasiums and racquet sport courts:
    • Number of months in operation:
    • Total hours open for use per week:
  • No

Indoor and outdoor pools

41. As of December 31st, 2019, did this campus or this building have any indoor or outdoor pools?

Include pools of all sizes and depths, such as wave pools, lane pools, diving pools, and shallow pools.

Exclude hot tubs.

  • Yes
    • As of December 31st, 2019, how many indoor and outdoor pools did this campus or this building have?
      When precise figures are not available, please provide your best estimate.
    • Number of indoor pools:
    • Number of outdoor pools:
  • No

Indoor pools

42. For the 2019 calendar year, provide the following information for the indoor pool specified below.

When precise figures are not available, please provide your best estimate.

Indoor pool 1

What was the total surface area of indoor pool 1?

If surface area is unknown, please provide volume.

Unit of measure:

  • Square feet
  • Square metres
  • Cubic feet
  • Cubic metres

Total surface area or volume of pool:

Number of months in operation:

Total hours open for use per week:

Outdoor pools

43. For the 2019 calendar year, provide the following information for the outdoor pool specified below.

When precise figures are not available, please provide your best estimate.

Outdoor pool 1

What was the total surface area of outdoor pool 1?

If surface area is unknown, please provide volume.

Unit of measure:

  • Square feet
  • Square metres
  • Cubic feet
  • Cubic metres

Total surface area or volume of pool:

Number of months in operation:

Total hours open for use per week:

Ice rinks

44. On December 31st, 2019, did this campus or this building have any indoor hockey rinks or other skating rinks?

Exclude curling rinks, outdoor hockey rinks, outdoor skating rinks, and synthetic rinks.

When precise figures are not available, please provide your best estimate.

  • Yes
    • On December 31st, 2019, how many indoor hockey rinks and other skating rinks did this campus or this building have?
    • Number of indoor hockey rinks and skating rinks:
  • No

Ice rinks

45. During the 2019, calendar year, provide the following information for each indoor hockey rink and other skating rink at this campus or this building.

Exclude curling rinks, outdoor hockey rinks, outdoor skating rinks, and synthetic rinks.

When precise figures are not available, please provide your best estimate.

Ice rink 1

What is the size of the ice rink 1?

  • Standard hockey rink
    e.g., 200ft by 85ft or 25.91m by 60.96m
  • Standard Olympic hockey rink
    e.g., 200ft by 98.4ft or 30m by 61m
  • Other
    Specify other ice rink size
    • Unit of measure
      • Square feet
      • Square metres
    • Surface area of ice:

Maximum spectator seating capacity:

Include spectator benches and seating.
Exclude viewing areas and standing room.

On December 31st, 2019, did ice rink 1 have ice refrigeration equipment?
If the ice is maintained by outdoor weather conditions alone, select "No".

  • Yes
  • No

During the 2019 calendar year, was ice present for all 12 months?

  • Yes
  • No
    • Number of months when ice was present:
    • Number of months when ice was not present:
      i.e., when rink is open, but no ice was installed
    • Average hours per week of rink use when ice was not present:
      Include ball hockey, concerts, conferences, or summer camps.

Average hours per week rink was in use when ice was present:

Include hours when the ice was in use for activities such as ice hockey, ringette, figure skating, paid spectator games, open to the public for leisure skating, or otherwise open to the public for activities where the ice was present but temporarily covered.
Exclude hours when the rink was closed.

Average hours per week rink was in use for paid spectator hockey games:
e.g., junior, semi-pro, or professional

Average hours per week rink was in use for other activities:
Include concerts and conferences when ice may be covered.

Number of ice resurfacings per week:
i.e., flooding with ice resurfacing machine after typical use

Curling sheets

46. On December 31st, 2019, did this campus or this building have any curling sheets in use?

Curling sheet: A curling sheet is an ice surface specifically for the purpose of the game of curling.

Exclude synthetic curling sheets.

  • Yes
    • Please provide the following information for the curling sheets in use at this campus or this building.
      When precise figures are not available, please provide your best estimate.
    • On December 31st, 2019, how many curling sheets were in use at this campus or this building?
      Number of curling sheets in use:
      If there are multiple sheets on a pad, please count each sheet individually.
    • During the 2019 calendar year, how many months were the curling sheets in use?
      Number of months curling sheets were in use:
    • During a typical week in the 2019 calendar year, how many hours were the curling sheets in use?
      Number of hours curling sheets were in use during a typical week:
  • No

Ice resurfacing machines

47. On December 31st, 2019, how many ice resurfacing machines were primarily in use at this campus or this building?

Exclude ice resurfacing machines used as backup only.

When precise figures are not available, please provide your best estimate.

Number of ice resurfacing primarily machines in use:

Ice-making operations

48. On December 31st, 2019, which of the following refrigerants were used in the ice-making operations at this campus or this building?

Select all that apply.

  • HFC
  • HCFC
  •  Ammonia
  • CO2
  • Other
    Specify other refrigerant:
    OR
  • Do not know

49. During the 2019 calendar year, did the ice surface on this campus or this building have any heat recovery systems installed to recover heat from the ice making equipment?

  • Yes, all ice surfaces had heat recovery systems installed.
  • Yes, some ice surfaces had heat recovery systems installed
  • No, the ice surfaces did not have any heat recovery systems
  • Do not know

Warehouse

50. On December 31st, 2019, which of the following categories described the warehouse space at this campus or this building?

Select all that apply.

  • Distribution or shipping centre
  • Refrigerated warehouse space
  • Non-refrigerated warehouse space
  • Public rental storage units (self-storage facility)
  • Other
    Specify other type of warehouse space:

51. Provide the total floor area of the refrigerated warehouse space according to temperature, as well as the total floor area for the non-refrigerated space at this campus or this building.

Exclude walk-in refrigerators, walk-in freezers, refrigerated display cases and freezer display cases.

When precise figures are not available, please provide your best estimate.

Temperature range of warehouse space

  • 10 degrees Celsius to 1 degree Celsius
    50 degrees Fahrenheit to 33.8 degrees Fahrenheit
    • Unit of measure:
      • Square feet
      • Square metre
    • Total floor area:
  • Less than 1 degree Celsius to -10 degrees Celsius
    Less than 33.8 degrees Fahrenheit to 14 degrees Fahrenheit
    • Unit of measure:
      • Square feet
      • Square metre
    • Total floor area:
  • Less than -10 degrees Celsius
    Less than 14 degrees Fahrenheit
    • Unit of measure:
      • Square feet
      • Square metre
    • Total floor area:
  • Non-refrigerated space
    • Unit of measure:
      • Square feet
      • Square metre
    • Total floor area:

Residences

52. On December 31st, 2019, what was the maximum capacity of the residence buildings at this campus or this building?

Residence building: A building present on campus providing principle accommodation.
e.g., student, employee or family residences

Maximum capacity: Total number of persons who can safely reside in a residence building at one time.

When precise figures are not available, please provide your best estimate.

  • Maximum capacity of the residence buildings:
    OR
  • Do not know

During the 2019 calendar year, what was the average annual occupancy rate of the residence buildings at this campus or this building?

Occupancy rate: Percentage derived by dividing the total number of rooms occupied during a given year by the total number of rooms available for occupancy during the year.

Provide your best estimate rounded to the nearest percentage.

Winter semester (January - April 2019)
Average annual occupancy rate for the winter semester:

Spring and summer semester (May – August 2019)
Average annual occupancy rate for the spring and summer semester:

Fall semester (September - December 2019)
Average annual occupancy rate for the fall semester:

Laboratories

53. On December 31st, 2019, which of the following categories describe the laboratory space at this campus or this building?

Select all that apply.

  • Biology
  • Chemistry
  • Vivarium
  • Physics or engineering
  • Maker or workshop
  • Other
    Specify other laboratory space:

On-site laundry

54. On December 31st, 2019, did this campus or this building have on-site laundry facilities?

  • Yes
    • What is the total square footage of the on-site laundry facilities?
      Square footage of the on-site laundry:
  • No

Institution heating

55. During the 2019 calendar year, what percentage of the indoor floor area of this campus or this building was heated to at least 10 degrees Celsius (50 degrees Fahrenheit)?

Include indoor floor area of all enclosed floors, mechanical rooms, common areas, basements, annexes, portable structures, heated pathways or patios and other temporary areas, if applicable.

Exclude floor area associated with any indoor parking, partially enclosed parking, portable structures, terraces, and outdoor spaces.

If percentage is null please indicate "0". Provide your best estimate rounded to the nearest percentage.

Percentage of floor area heated:

Institution cooling

56. During the 2019 calendar year, what percentage of the floor area of this campus or this building was cooled (air conditioned)?

Include indoor floor area of all enclosed floors, mechanical rooms, common areas, basements, annexes, portable structures, and other temporary areas, if applicable.

Exclude floor area associated with any refrigerated space, indoor parking, partially enclosed parking, portable structures, terraces, and outdoor spaces.

If percentage is null please indicate "0". Provide your best estimate rounded to the nearest percentage.

Percentage of floor area air conditioned:

Energy sources purchased

57. During the 2019 calendar year, which of the following energy sources were purchased for this campus or this building?

Include energy sourced to all enclosed floors, mechanical rooms, common areas, basements, annexes, portable structures, and other temporary areas, if applicable.

Include any energy sources purchased that were used to generate electricity, steam, hot water, or chilled water on-site, if applicable.

Exclude energy sourced only to indoor parking, partially enclosed parking, or outdoor parking areas.

Select all that apply.

  • Electricity
  • Natural gas
  • Furnace, heating or light fuel oil
  • Diesel
    Exclude diesel used for transportation.
  • Kerosene
  • Propane or bottled gas
  • District steam from an off-site plant
    Steam produced by an off-site plant (e.g., nearby facility or building) that is purchased for this campus or this building.
  • District hot water from an off-site plant
    Hot water produced by an off-site plant (e.g., nearby facility or building) that is purchased for this campus or this building.
  • District chilled water from an off-site plant
    Chilled water produced by an off-site plant (e.g., nearby facility or building) that is purchased for this campus or this building.
  • Wood
  • Other renewable sources
    • Specify other renewable source 1:
    • Specify other renewable source 2:
    • Specify other renewable source 3:
    • Specify other renewable source 4:
    • Specify other renewable source 5:
  • Other non-renewable sources
    • Specify other non-renewable source 1:
    • Specify other non-renewable source 2:
    • Specify other non-renewable source 3:
    • Specify other non-renewable source 4:
    • Specify other non-renewable source 5:

58. For the 2019 calendar year, to what extent are you able to report this campus or this building purchases of each of the following energy sources?

Electricity

  • I am able to report the total amount of electricity purchased for this campus or this building.
  • I am able to report a portion of the electricity purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the electricity purchased for this campus or this building can be reported:
  • None of the electricity purchased for this campus or this building.
    • Briefly explain why none of the electricity purchased for this campus or this building can be reported:

Natural gas

  • I am able to report the total amount of natural gas purchased for this campus or this building.
  • I am able to report a portion of the natural gas purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the natural gas purchased for this campus or this building can be reported:
  • None of the natural gas purchased for this campus or this building.
    • Briefly explain why none of the natural gas purchased for this campus or this building can be reported:

Furnace, heating or light fuel oil

  • I am able to report the total amount of furnace, heating or light fuel oil purchased for this campus or this building.
  • I am able to report a portion of the furnace, heating or light fuel oil purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the furnace, heating or light fuel oil purchased for this building or this unit can be reported:
  • None of the furnace, heating or light fuel oil purchased for this campus or this building.
    • Briefly explain why none of the furnace, heating or light fuel oil purchased for this building or this unit can be reported:

Diesel

  • I am able to report the total amount of diesel purchased for this campus or this building.
  • I am able to report a portion of the diesel purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the diesel purchased for this campus or this building can be reported:
  • None of the diesel purchased for this campus or this building.
    • Briefly explain why none of the diesel purchased for this campus or this building can be reported:

Kerosene

  • I am able to report the total amount of kerosene purchased for this campus or this building.
  • I am able to report a portion of the kerosene purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the kerosene purchased for this campus or this building can be reported:
  • None of the kerosene purchased for this campus or this building.
    • Briefly explain why none of the kerosene purchased for this campus or this building can be reported:

Propane or bottled gas

  • I am able to report the total amount of propane or bottled gas purchased for this campus or this building.
  • I am able to report a portion of the propane or bottled gas purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the propane or bottled gas purchased for this building or this unit can be reported:
  • None of the propane or bottled gas purchased for this campus or this building.
    • Briefly explain why none of the propane or bottled gas purchased for this campus or this building can be reported:

District steam from an off-site plant

  • I am able to report the total amount of district steam from an off-site plant purchased for this campus or this building.
  • I am able to report a portion of the district steam from an off-site plant purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the district steam from an off-site plant purchased for this building or this unit can be reported:
  • None of the district steam from an off-site plant purchased for this campus or this building.
    • Briefly explain why none of the district steam from an off-site plant purchased for this building or this unit can be reported:

District hot water from an off-site plant

  • I am able to report the total amount of district hot water from an off-site plant purchased for this campus or this building.
  • I am able to report a portion of the district hot water from an off-site plant purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the district hot water from an off-site plant purchased for this campus or this building can be reported:
  • None of the district hot water from an off-site plant purchased for this campus or this building.
    • Briefly explain why none of the district hot water from an off-site plant purchased for this building or this unit can be reported:

District chilled water from an off-site plant

  • I am able to report the total amount of district chilled water from an off-site plant purchased for this campus or this building.
  • I am able to report a portion of the district chilled water from an off-site plant purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the district chilled water from an off-site plant purchased   for this campus or this building can be reported:
  • None of the district chilled water from an off-site plant purchased for this campus or this building.
    • Briefly explain why none of the district chilled water from an off-site plant purchased for this building or this unit can be reported:

Wood

  • I am able to report the total amount of wood purchased for this campus or this building.
  • I am able to report a portion of the wood purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the wood purchased for this campus or this building can be reported:
  • None of the wood purchased for this campus or this building.
    • Briefly explain why none of the wood purchased for this campus or this building can be reported:

Other renewable source

  • I am able to report the total amount of the other renewable source purchased for this campus or this building.
  • I am able to report a portion of the other renewable source purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the other renewable source purchased for this building or this unit can be reported:
  • None of the other renewable source purchased for this campus or this building.
    • Briefly explain why none of the other renewable source purchased for this campus or this building can be reported:

Other non-renewable source

  • I am able to report the total amount of other non-renewable source purchased for this campus or this building.
  • I am able to report a portion of the other non-renewable source purchased for this campus or this building.
    e.g., able to report for some months of the 2019 calendar year
    • Briefly explain why only a portion of the other non-renewable source purchased for this building or this unit can be reported:
  • None of the other non-renewable source purchased for this campus or this building.
    • Briefly explain why none of the other non-renewable source purchased for this building or this unit can be reported:

59. During the 2019 calendar year, what was the quantity purchased and expenditure for this campus or this building for each energy source?

Include energy sourced to all enclosed floors, mechanical rooms, common areas, basements, annexes, portable structures, and other temporary areas.

Include quantity and expenditure for energy sources purchased that were used to generate electricity, steam, or hot water on-site, if applicable.

If possible, exclude energy sourced to indoor parking, partially enclosed parking, or outdoor parking areas.

Please report expenditures rounded to the nearest Canadian dollar.

Include taxes, service charges and any rebates (total amount on utility bill).

Exclude fuel or energy used for transportation.

If your landlord pays your energy bills, please consult landlord for values.

Electricity

  • Unit of measure
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
    • Gigajoules (GJ)
  • Quantity purchased:
  • Expenditure for electricity purchased CAN$:
  • Does the amount reported include or exclude electricity used within indoor parking areas?
    • The amount reported includes electricity used within indoor parking areas
    • The amount reported excludes electricity used within indoor parking areas
  • Does the amount reported include or exclude electricity used within partially enclosed parking areas?
    • The amount reported includes electricity used within partially enclosed parking areas
    • The amount reported excludes electricity used within partially enclosed parking areas
  • Does the amount reported include or exclude electricity used within outdoor parking areas?
    • The amount reported includes electricity used within outdoor parking areas
    • The amount reported excludes electricity used within outdoor parking areas

Natural gas

  • Unit of measure
    • Cubic metres (m3)
    • Gigajoules (GJ)
    • Litres (L)
    • Cubic feet
    • Million cubic feet (Mcf)
    • Kilo-British thermal units (kBtu)
    • Therms (thm)
    • Million British thermal units (MMBtu)
  • Quantity purchased:
  • Expenditure for natural gas purchased CAN$:
  • Does the amount reported include or exclude natural gas used to heat indoor parking areas?
    • The amount reported includes natural gas used to heat indoor parking areas
    • The amount reported excludes natural gas used to heat indoor parking areas

Furnace, heating or light fuel oil

  • Unit of measure
    • Litres (L)
    • Gigajoules (GJ)
    • Gallons (US)
    • Gallons (UK)
  • Quantity purchased:
  • Expenditure for light fuel oil purchased CAN$:
  • Does the amount reported include or exclude furnace, heating or light fuel oil used to heat indoor parking areas?
    • The amount reported includes furnace, heating or light fuel oil used to heat indoor parking areas
    • The amount reported excludes furnace, heating or light fuel oil used to heat indoor parking areas

Diesel

  • Unit of measure
    • Litres (L)
    • Gigajoules (GJ)
    • Gallons (US)
    • Gallons (UK)
  • Quantity purchased:
  • Expenditure for diesel purchased CAN$:
  • Does the amount reported include or exclude diesel used to heat indoor parking areas?
    • The amount reported includes diesel used to heat indoor parking areas
    • The amount reported excludes diesel used to heat indoor parking areas

Kerosene

  • Unit of measure
    • Litres (L)
    • Gigajoules (GJ)
    • Gallons (US)
    • Gallons (UK)
  • Quantity purchased:
  • Expenditure for kerosene purchased CAN$:
  • Does the amount reported include or exclude kerosene used to heat indoor parking areas?
    • The amount reported includes kerosene used to heat indoor parking areas
    • The amount reported excludes kerosene used to heat indoor parking areas

Propane or bottled gas

  • Unit of measure
    • Litres (L)
    • Kilograms (kg)
    • Gigajoules (GJ)
    • Pounds (lbs)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
  • Quantity purchased:
  • Expenditure for propane or bottled gas purchased CAN$:
  • Does the amount reported include or exclude propane or bottled gas used to heat indoor parking areas?
    • The amount reported includes propane or bottled gas used to heat indoor parking areas
    • The amount reported excludes propane or bottled gas used to heat indoor parking areas

District steam from an off-site plant

  • Unit of measure
    • Kilograms (kg)
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Pounds (lbs)
  • Quantity purchased:
  • Expenditure for district steam purchased CAN$:
  • Does the amount reported include or exclude district steam from an off-site plant used to heat indoor parking areas?
    • The amount reported includes district steam from an off-site plant used to heat indoor parking areas
    • The amount reported excludes district steam from an off-site plant used to heat indoor parking areas

District hot water from an off-site plant

  • Unit of measure
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
    • Cubic metres
    • Ton hours (t/hr)
  • Quantity purchased:
  • Expenditure for district hot water purchased CAN$:
  • Does the amount reported include or exclude district hot water from an off-site plant used to heat indoor parking areas?
    • The amount reported includes district hot water from an off-site plant used to heat indoor parking areas
    • The amount reported excludes district hot water from an off-site plant used to heat indoor parking areas

District chilled water from an off-site plant

  • Unit of measure
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
    • Cubic metres (m3)
    • Ton hours (t/hr)
  • Quantity purchased:
  • Expenditure for district chilled water purchased CAN$:

Wood

  • Unit of measure
    • Full cords
    • Pellets (tonnes)
    • Pounds (lbs)
  • Quantity purchased:
  • Expenditure for wood purchased CAN$:

Other renewable source

  • Unit of measure
    • Gigajoules (GJ)
    • Kilowatt-hours (kWh)
    • Cubic feet
    • Cubic metres
    • Gallons (UK)
    • Gallons (US)
    • Kilo-British thermal units (kBtu)
    • Kilograms (kg)
    • Litres (L)
    • Million British thermal units (MMBtu)
    • Pellets (tonnes)
    • Pounds (lbs)
    • Therms (thm)
    • Tonnes (metric)
  • Quantity purchased:
  • Expenditure for other renewable source purchased CAN$:
  • Does the amount reported include or exclude other renewable source used within parking areas?
    • The amount reported includes other renewable source used within parking areas
    • The amount reported excludes other renewable source used within parking areas

Other non-renewable source

  • Unit of measure
    • Gigajoules (GJ)
    • Kilowatt-hours (kWh)
    • Cubic feet
    • Cubic metres
    • Gallons (UK)
    • Gallons (US)
    • Kilo-British thermal units (kBtu)
    • Kilograms (kg)
    • Litres (L)
    • Million British thermal units (MMBtu)
    • Pellets (tonnes)
    • Pounds (lbs)
    • Therms (thm)
    • Tonnes (metric)
  • Quantity purchased:
  • Expenditure for other non-renewable source purchased CAN$:
  • Does the amount reported include or exclude non-renewable source used within parking areas?
    • The amount reported includes non-renewable source used within parking areas
    • The amount reported excludes non-renewable source used within parking areas

On-site electricity generation

60. During the 2019 calendar year, was electricity generated on-site on this campus or this building?

Select "Yes" if electricity was generated on-site regardless of whether the electricity was consumed on this campus or this building or sold to a utility company, energy provider, or other building.

Include electricity generated by an on-site backup system.

  • Yes
  • No

61. During the 2019 calendar year, which of the following sources were used for on-site electricity generation?

Select all energy sources used to generate electricity on-site regardless of whether that electricity was consumed by this campus or this building or sold to a utility company, energy provider, or other building.

Include electricity generated by an on-site backup system.

Select all that apply.

  • Natural gas
  • Furnace, heating or light fuel oil
  • Diesel
    Exclude diesel used for transportation.
  • Kerosene
  • Propane or bottled gas
  • Purchased wood
  • Wood obtained on-site
  • Solar
  • Wind
  • Other renewable sources
    • Specify other renewable source 1:
    • Specify other renewable source 2:
    • Specify other renewable source 3:
    • Specify other renewable source 4:
    • Specify other renewable source 5:
  • Other non-renewable sources
    • Specify other non-renewable source 1:
    • Specify other non-renewable source 2:
    • Specify other non-renewable source 3:
    • Specify other non-renewable source 4:
    • Specify other non-renewable source 5:

62. For the 2019 calendar year, to what extent are you able to report for the on-site electricity generation of this campus or this building from each of the following energy sources?

Natural gas

  • I am able to report the total amount of electricity generated on-site from natural gas at this campus or this building.
  • I am able to report a portion of the electricity generated on-site from natural gas at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the electricity generated on-site from natural gas at this campus or this building can be reported.
  • I am able to report none of the electricity generated on-site from natural gas at this campus or this building.
    • Briefly explain why none of the electricity generated on-site from natural gas at this campus or this building can be reported.

Furnace, heating or light fuel oil

  • I am able to report the total amount of electricity generated on-site from furnace, heating or light fuel oil at this campus or this building.
  • I am able to report a portion of the electricity generated on-site from furnace, heating or light fuel oil at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the electricity generated on-site from furnace, heating or light fuel oil at this campus or this building can be reported.
  • I am able to report none of the electricity generated on-site from furnace, heating or light fuel oil at this campus or this building.
    • Briefly explain why none of the electricity generated on-site from furnace, heating or light fuel oil at this campus or this building can be reported.

Diesel

  • I am able to report the total amount of electricity generated on-site from diesel at this campus or this building.
  • I am able to report a portion of the electricity generated on-site from diesel at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the electricity generated on-site from diesel at this campus or this building can be reported.
  • I am able to report none of the electricity generated on-site from diesel at this campus or this building.
    • Briefly explain why none of the electricity generated on-site from diesel at this campus or this building can be reported.

Kerosene

  • I am able to report the total amount of electricity generated on-site from kerosene at this campus or this building.
  • I am able to report a portion of the electricity generated on-site from kerosene at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the electricity generated on-site from kerosene at this campus or this building can be reported.
  • I am able to report none of the electricity generated on-site from kerosene at this campus or this building.
    • Briefly explain why none of the electricity generated on-site from kerosene at this campus or this building can be reported.

Propane or bottled gas

  • I am able to report the total amount of electricity generated on-site from propane or bottle gas at this campus or this building.
  • I am able to report a portion of the electricity generated on-site from propane or bottle gas at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the electricity generated on-site from propane or bottle gas at this campus or this building can be reported.
  • I am able to report none of the electricity generated on-site from propane or bottle gas at this campus or this building.
    • Briefly explain why none of the electricity generated on-site from propane or bottle gas at this campus or this building can be reported.

Purchased wood

  • I am able to report the total amount of electricity generated on-site from purchased wood at this campus or this building.
  • I am able to report a portion of the electricity generated on-site from purchased wood at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the electricity generated on-site from purchased wood at this campus or this building can be reported.
  • I am able to report none of the electricity generated on-site from purchased wood at this campus or this building.
    • Briefly explain why none of the electricity generated on-site from purchased wood at this campus or this building can be reported.

Wood obtained on-site

  • I am able to report the total amount of electricity generated on-site from wood obtained on-site at this campus or this building.
  • I am able to report a portion of the electricity generated on-site from wood obtained on-site at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the electricity generated on-site from wood obtained on-site at this campus or this building can be reported.
  • I am able to report none of the electricity generated on-site from wood obtained on-site at this campus or this building.
    • Briefly explain why none of the electricity generated on-site from wood obtained on-site at this campus or this building can be reported.

Solar

  • I am able to report the total amount of electricity generated on-site from solar at this campus or this building.
  • I am able to report a portion of the electricity generated on-site from solar at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the electricity generated on-site from solar at this campus or this building can be reported.
  • I am able to report none of the electricity generated on-site from solar at this campus or this building.
    • Briefly explain why none of the electricity generated on-site from solar at this campus or this building can be reported.

Wind

  • I am able to report the total amount of electricity generated on-site from wind at this campus or this building.
  • I am able to report a portion of the electricity generated on-site from wind at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the electricity generated on-site from wind at this campus or this building can be reported.
  • I am able to report none of the electricity generated on-site from solar at this campus or this building.
    • Briefly explain why none of the electricity generated on-site from solar at this campus or this building can be reported.

Other renewable source

  • I am able to report the total amount of electricity generated on-site from other renewable source at this campus or this building.
  • I am able to report a portion of the electricity generated on-site from other renewable source at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the electricity generated on-site from other renewable source at this campus or this building can be reported.
  • I am able to report none of the electricity generated on-site from other renewable source at this campus or this building.
    • Briefly explain why none of the electricity generated on-site from other renewable source at this campus or this building can be reported.

Other non-renewable source

  • I am able to report the total amount of electricity generated on-site from other non-renewable source at this campus or this building.
  • I am able to report a portion of the electricity generated on-site from other non-renewable source at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the electricity generated on-site from other non-renewable source at this campus or this building can be reported.
  • I am able to report none of the electricity generated on-site from other non-renewable source at this campus or this building.
    • Briefly explain why none of the electricity generated on-site from other non-renewable source at this campus or this building can be reported.

63. During the 2019 calendar year, what was the quantity of electricity generated on-site?

Report the total quantity of electricity generated regardless of whether that electricity was consumed on this campus or this building or sold to a utility company, energy provider, or other building.

Include electricity generated by an on-site backup system.

Electricity generated on-site from purchased wood or wood obtained on-site

  • Unit of measure
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
    • Gigajoules (GJ)
  • Quantity of electricity generated:
  • Was the electricity generated on-site used within indoor parking areas?
    • Yes
    • No
  • Was the electricity generated on-site used within partially enclosed parking areas?
    • Yes
    • No
  • Was the electricity generated on-site used within outdoor parking areas?
    • Yes
    • No

Electricity generated on-site from non-renewable energy sources
i.e., natural gas, furnace, heating or light fuel oil, diesel, kerosene, propane or bottled gas, and other non-renewable energy sources

Exclude purchased wood and wood obtained on-site.

  • Unit of measure
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
    • Gigajoules (GJ)
  • Was the electricity generated on-site used within indoor parking areas?
    • Yes
    • No
  • Was the electricity generated on-site used within partially enclosed parking areas?
    • Yes
    • No
  • Was the electricity generated on-site used within outdoor parking areas?
    • Yes
    • No

Electricity generated on-site from renewable energy sources
i.e., solar, wind, and other renewable energy sources

Exclude purchased wood and wood obtained on-site.

  • Unit of measure
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
    • Gigajoules (GJ)
  • Quantity of electricity generated
  • Was the electricity generated on-site used within indoor parking areas?
    • Yes
    • No
  • Was the electricity generated on-site used within partially enclosed parking areas?
    • Yes
    • No
  • Was the electricity generated on-site used within outdoor parking areas?
    • Yes
    • No

On-site steam generation

64. During the 2019 calendar year, was steam generated on-site at this campus or this building?

Select "Yes" if steam was generated on-site regardless of whether that steam was consumed by this campus or this building or sold to a utility company, energy provider, or other building.
e.g., steam generated by an on-site boiler, turbine or other source, for heating via radiators or convectors, or for non-heating purposes such as powering equipment, sterilization, or laundry

Include steam generated by an on-site backup or emergency generator.

  • Yes
  • No

65. During the 2019 calendar year, which of the following energy sources were used for on-site steam generation?

Select all energy sources used to generate steam on-site regardless of whether that steam was consumed by this campus or this building or sold to a utility company, energy provider, or other building.
e.g., steam generated by an on-site boiler, turbine or other source, for heating via radiators or convectors, or for non-heating purposes such as powering equipment, sterilization, or laundry

Include energy used by an on-site backup or emergency generator.

Select all that apply.

  • Natural gas
  • Furnace, heating or light fuel oil
  • Diesel
    Exclude diesel used for transportation.
  • Kerosene
  • Propane or bottled gas
  • Purchased wood
  • Wood obtained on-site
  • Solar
  • Wind
  • Other renewable sources
    • Specify other renewable source 1:
    • Specify other renewable source 2:
    • Specify other renewable source 3:
    • Specify other renewable source 4:
    • Specify other renewable source 5:
  • Other non-renewable sources
    • Specify other non-renewable source 1:
    • Specify other non-renewable source 2:
    • Specify other non-renewable source 3:
    • Specify other non-renewable source 4:
    • Specify other non-renewable source 5:

66. For the 2019 calendar year, to what extent are you able to report this campus or this building on-site steam generation from each of the following energy sources?

Natural gas

  • I am able to report the total amount of steam generated on-site from natural gas at this campus or this building.
  • I am able to report a portion of the steam generated on-site from natural gas at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the steam generated on-site from natural gas at this campus or this building can be reported.
  • I am able to report none of the steam generated on-site from natural gas at this campus or this building.
    • Briefly explain why none of the steam generated on-site from natural gas at this campus or this building can be reported.

Furnace, heating or light fuel oil

  • I am able to report the total amount of steam generated on-site from furnace, heating or light fuel oil at this campus or this building.
  • I am able to report a portion of the steam generated on-site from furnace, heating or light fuel oil at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the steam generated on-site from furnace, heating or light fuel oil at this campus or this building can be reported.
  • I am able to report none of the steam generated on-site from furnace, heating or light fuel oil at this campus or this building.
    • Briefly explain why none of the steam generated on-site from furnace, heating or light fuel oil at this campus or this building can be reported.

Diesel

  • I am able to report the total amount of steam generated on-site from diesel at this campus or this building.
  • I am able to report a portion of the steam generated on-site from diesel at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the steam generated on-site from diesel at this campus or this building can be reported.
  • I am able to report none of the steam generated on-site from diesel at this campus or this building.
    • Briefly explain why none of the steam generated on-site from diesel at this campus or this building can be reported.

Kerosene

  • I am able to report the total amount of steam generated on-site from kerosene at this campus or this building.
  • I am able to report a portion of the steam generated on-site from kerosene at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the steam generated on-site from kerosene at this campus or this building can be reported.
  • I am able to report none of the steam generated on-site from kerosene at this campus or this building.
    • Briefly explain why none of the steam generated on-site from kerosene at this campus or this building can be reported.

Propane or bottled gas

  • I am able to report the total amount of steam generated on-site from propane or bottle gas at this campus or this building.
  • I am able to report a portion of the steam generated on-site from propane or bottle gas at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the steam generated on-site from propane or bottle gas at this campus or this building can be reported.
  • I am able to report none of the steam generated on-site from propane or bottle gas at this campus or this building.
    • Briefly explain why none of the steam generated on-site from propane or bottle gas at this campus or this building can be reported.

Purchased wood

  • I am able to report the total amount of steam generated on-site from purchased wood at this campus or this building.
  • I am able to report a portion of the steam generated on-site from purchased wood at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the steam generated on-site from purchased wood at this campus or this building can be reported.
  • I am able to report none of the steam generated on-site from purchased wood at this campus or this building.
    • Briefly explain why none of the steam generated on-site from purchased wood at this campus or this building can be reported.

Wood obtained on-site

  • I am able to report the total amount of steam generated on-site from wood obtained on-site at this campus or this building.
  • I am able to report a portion of the steam generated on-site from wood obtained on-site at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the steam generated on-site from wood obtained on-site at this campus or this building can be reported.
  • I am able to report none of the steam generated on-site from wood obtained on-site at this campus or this building.
    • Briefly explain why none of the steam generated on-site from wood obtained on-site at this campus or this building can be reported.

Solar

  • I am able to report the total amount of steam generated on-site from solar energy at this campus or this building.
  • I am able to report a portion of the steam generated on-site from solar energy at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the steam generated on-site from solar energy at this campus or this building can be reported.
  • I am able to report none of the steam generated on-site from solar energy at this campus or this building.
    • Briefly explain why none of the steam generated on-site from solar energy at this campus or this building can be reported.

Wind

  • I am able to report the total amount of steam generated on-site from wind at this campus or this building.
  • I am able to report a portion of the steam generated on-site from wind at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the steam generated on-site from wind at this campus or this building can be reported.
  • I am able to report none of the steam generated on-site from wind at this campus or this building.
    • Briefly explain why none of the steam generated on-site from wind at this campus or this building can be reported.

Other renewable source

  • I am able to report the total amount of steam generated on-site from other renewable source at this campus or this building.
  • I am able to report a portion of the steam generated on-site from other renewable source at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the steam generated on-site from other renewable source at this campus or this building can be reported.
  • I am able to report none of the steam generated on-site from other renewable source at this campus or this building.
    • Briefly explain why none of the steam generated on-site from other renewable source at this campus or this building can be reported.

Other non-renewable source

  • I am able to report the total amount of steam generated on-site from other non-renewable source at this campus or this building.
  • I am able to report a portion of the steam generated on-site from other non-renewable source at this campus or this building.
    e.g., able to report for some months of the 2019 calendar year or unable to report for some buildings on campus
    • Briefly explain why only a portion of the steam generated on-site from other non-renewable source at this campus or this building can be reported.
  • I am able to report none of the steam generated on-site from other non-renewable source at this campus or this building.
    • Briefly explain why none of the steam generated on-site from other non-renewable source at this campus or this building can be reported.

67. During the 2019 calendar year, what was the quantity of steam generated on-site?

Report the total quantity of steam generated on-site regardless of whether that steam was consumed by this campus or this building or sold to a utility company, energy provider, or other building.
e.g., steam generated by an on-site boiler, turbine or other source, for heating via radiators or convectors, or for non-heating purposes such as powering equipment, sterilization, or laundry

Include steam generated by an on-site backup or emergency generator.

Steam generated on-site from purchased wood or wood obtained on-site

  • Unit of measure
    • 1: Kilograms (kg)
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Pounds (lbs)
  • Quantity of steam generated:
  • Was the steam generated on-site used to heat indoor parking areas?
    • Yes
    • No

Steam generated on-site from non-renewable energy sources
i.e., natural gas, furnace, heating or light fuel oil, diesel, kerosene, propane or bottle gas, and other non-renewable energy sources

Exclude purchased wood and wood obtained on-site.

  • Unit of measure
    • Kilograms (kg)
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Pounds (lbs)
  • Quantity of steam generated:
  • Was the steam generated on-site used to heat indoor parking areas?
    • Yes
    • No

Steam generated on-site from renewable energy sources
i.e., solar, wind, and other renewable energy sources

Exclude purchased wood and wood obtained on-site.

  • Unit of measure
    • Kilograms (kg)
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Pounds (lbs)
  • Quantity of steam generated:
  • Was the steam generated on-site used to heat indoor parking areas?
    • Yes
    • No

On-site hot water generation

68. During the 2019 calendar year, was hot water generated on-site exclusively for the purpose of heating?

Select "Yes" if hot water was generated on-site regardless of whether that hot water was used by this campus or this building or used elsewhere.
e.g., hot water created by an on-site boiler, turbine or other, for heating by radiators or convectors

Include hot water generated by an on-site backup system.

Exclude hot water generated for indoor or outdoor sanitary or domestic use.

  • Yes
  • No

69. During the 2019 calendar year, which of the following energy sources were used to generate hot water on-site exclusively for the purpose of heating?

Select all energy sources used to generate hot water on-site regardless of whether that hot water was used by this campus or this building or used elsewhere.
e.g., hot water created by an on-site boiler, turbine or other, for heating by radiators or convectors

Include energy used by an on-site backup system.

Exclude hot water generated for indoor or outdoor sanitary or domestic use.

Select all that apply.

  • Natural gas
  • Furnace, heating or light fuel oil
  • Diesel
    Exclude diesel used for transportation
  • Kerosene
  • Propane or bottled gas
  • Purchased wood
  • Wood obtained on-site
  • Solar
  • Wind
  • Other renewable sources
    • Specify other renewable source 1:
    • Specify other renewable source 2:
    • Specify other renewable source 3:
    • Specify other renewable source 4:
    • Specify other renewable source 5:
  • Other non-renewable sources
    • Specify other non-renewable source 1:
    • Specify other non-renewable source 2:
    • Specify other non-renewable source 3:
    • Specify other non-renewable source 4:
    • Specify other non-renewable source 5:

70. During the 2019 calendar year, was the hot water generated on-site used to heat indoor parking areas?

Include hot water generated by an on-site backup system.

  • Yes
  • No

Domestic water purchased

71. During the 2019 calendar year, was city or municipal (domestic) water purchased for this campus or this building?

City or municipal (domestic) water: Water used for indoor or outdoor sanitary or domestic use (e.g., flushing toilets, drinking, watering lawns, or gardens) but without application to an industrial, manufacturing or general heating or cooling process.

Include water used by all enclosed floors, mechanical rooms, common areas, basements, annexes, portable structures, and other temporary areas.

Exclude bottled water and water consumed in heating or cooling process such as hot water used in radiative heating or district chilled water used for cooling.

  • Yes
  • No
    i.e., if water was obtained from a well or water included in municipal tax

72. For the 2019 calendar year, what was the quantity purchased and expenditure for this campus or this building for city or municipal (domestic) water?

City or municipal (domestic) water: Water used for indoor or outdoor sanitary or domestic use (e.g., flushing toilets, drinking, watering lawns or gardens) but without application to an industrial, manufacturing or general heating process.

Include water used by all enclosed floors, mechanical rooms, common areas, basements, annexes, portable structures, and other temporary areas.

If possible, exclude domestic water used by indoor parking, partially enclosed parking, or outdoor parking areas and bottled water.

Unit of measure:

  • Liters (L)
  • Cubic metres

Quantity purchased:

Expenditure for city or municipal (domestic) water purchased in CAN$:

Cogeneration system

73. During the 2019 calendar year, was the electric power generation system also a cogeneration system?

Cogeneration: Combined heat and power (CHP) is the simultaneous generation of electricity and useful thermal energy (e.g., steam, hot water) in one process and from the same fuel source.
e.g., condensing steam turbines, combined cycle gas turbines
i.e., the electric power generation system provides useful heat to this campus or this building

  • Yes
  • No

Energy use

74. Did the amounts reported for any of the energy types purchased and electricity generated by this campus or this building include energy shared with other buildings or structures?

e.g., associated hospitals, common entrances, annex buildings, outdoor pools, sport fields, exterior bubble domes, tennis courts

Note: If this campus or this building draws energy from the same metre as other buildings and structures, select "Yes".

  • Yes
    • Was the building or structure outside of this campus or this building sub-metred?
    • Yes
    • No
  • No

75. During the 2019 calendar year, how much energy was shared with other buildings or structures outside of this campus or this building?

If not applicable please enter "0".

Electricity generated on-site

  • Unit of measure
    • Gigajoules (GJ)
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
  • Quantity shared:

District steam generated on-site

  • Unit of measure
    • Kilograms (kg)
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Pounds (lbs)
  • Quantity shared:

District hot water generated on-site

  • Unit of measure
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
    • Cubic metres (m3)
    • Ton hours (t/hr)
  • Quantity shared:

District chilled water generated on-site

  • Unit of measure
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
    • Cubic metres (m3)
    • Ton hours (t/hr)
  • Quantity shared:

76. What was the total floor area of the other buildings or structures that used this campus or this building reported energy purchased and electricity generated?

e.g., associated hospitals, common entrances, annex buildings, outdoor pools, sport fields, exterior bubble domes, tennis courts

Note: If this campus or this building draws energy from the same metre as other buildings and structures, only report the floor area of these other buildings or structures.

When precise figures are not available, please provide your best estimate.

  • Unit of measure
    • Square feet
    • Square metres
  • Total floor area of the other buildings and structures which shared this campus or this building's reported energy purchased and electricity generated:
    OR
  • Do not know

77. During the 2019 calendar year, what is the approximate floor area of this campus or this building for which energy has not been reported?

When precise figures are not available, please provide your best estimate.

  • Unit of measure
    • Square feet
    • Square metres

Total floor area for which energy has not been reported:

78. During the 2019 calendar year, indicate for which of the following reasons energy purchased was not fully reported.

Select all that apply.

  • Energy fully included in lease
  • Energy partially included in lease
  • Tenant pays energy bills
  • Metres are not on-site or accessible
  • Metres were broken or not functioning
  • Campus does not require energy
  • Other
    • Specify other reason:

79. For the 2019 calendar year, which of the following types of energy use were fully included in the reported energy purchased and electricity generated by this campus or this building?

Select all that apply.

  • Heating of space
  • Water heating
    i.e., water used for consumption
  • Cooling of space
  • Plug load
    Electricity drawn through this campus or this building's wall socket to provide power to devices, appliances and equipment (e.g., computers, printers, stoves, washers, dryers, lamps). Exclude this campus or this building’s energy such as ventilation, lighting, heating, and electric vehicle charging stations.
  • Electric lighting
    OR
  • None of the above

80. For the 2019 calendar year, indicate the extent to which energy consumption for the following floor areas was included in the reported energy purchased and electricity generated by this campus or this building.

Total floor area of this campus or this building.

Floor area occupied by commercial or institutional tenants or owners

  • Extent to which energy consumption was reported
    • Energy fully reported
    • Energy partially reported
    • Energy not reported
    • Energy not used

Common area shared by commercial or institutional tenants
Exclude common area for residential tenants.
e.g., foyers, lobbies, washrooms, elevators and stairwells

  • Extent to which energy consumption was reported
    • Energy fully reported
    • Energy partially reported
    • Energy not reported
    • Energy not used

Floor area occupied by residential tenants

  • Extent to which energy consumption was reported
    • Energy fully reported
    • Energy partially reported
    • Energy not reported
    • Energy not used

Common area shared by or for residential tenants
Exclude common area shared with businesses and areas occupied by businesses.

  • Extent to which energy consumption was reported
    • Energy fully reported
    • Energy partially reported
    • Energy not reported
    • Energy not used

Vacant or unoccupied space

  • Extent to which energy consumption was reported
    • Energy fully reported
    • Energy partially reported
    • Energy not reported
    • Energy not used

Other outdoor consumption

  • Extent to which energy consumption was reported
    • Energy fully reported
    • Energy partially reported
    • Energy not reported
    • Energy not used

Energy sales

81. During the 2019 calendar year, did this campus or this building sell, transfer, or distribute any of the following types of energy generated to a utility company, energy provider, or other buildings outside of this campus?

i.e., on-site generated electricity, steam, hot water, or chilled water

Select all that apply.

  • Electricity generated on-site
  • District steam generated on-site
  • District hot water generated on-site
  • District chilled water generated on-site
    OR
  • None of the above

82. During the 2019 calendar year, how much energy was sold, transferred, or distributed to a utility company, energy provider or other buildings outside of this campus?

If not applicable please enter "0".

Energy source

Electricity generated on-site

  • Unit of measure
    • Gigajoules (GJ)
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
  • Quantity sold, transferred, or distributed:

District steam generated on-site

  • Unit of measure
    • Kilograms (kg)
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Pounds (lbs)
  • Quantity sold, transferred, or distributed:

District hot water generated on-site

  • Unit of measure
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
    • Cubic metres (m3)
    • Ton hours (t/hr)
  • Quantity sold, transferred, or distributed:

District chilled water generated on-site

  • Unit of measure
    • Gigajoules (GJ)
    • Million British thermal units (MMBtu)
    • Kilo-British thermal units (kBtu)
    • Kilowatt-hours (kWh)
    • Megawatt-hours (MWh)
    • Cubic metres (m3)
    • Ton hours (t/hr)
  • Quantity sold, transferred, or distributed:

Principal energy source

83. During the 2019 calendar year, what was the main energy source used to heat the largest proportion of floor area in this campus or this building?

If steam or hot water was generated on-site to heat this campus or this building, please select the energy source used to heat the water (e.g., natural gas consumed in a natural gas boiler). If glycol was circulated, please select the fuel used to heat the glycol.

  • Electricity
    • What is the percentage of floor area that this energy source was used to heat?
    • Total percentage of this campus or this building's floor area:
  • Natural gas
    • What is the percentage of floor area that this energy source was used to heat?
    • Total percentage of this campus or this building's floor area:
  • Furnace, heating or light fuel oil
    • What is the percentage of floor area that this energy source was used to heat?
    • Total percentage of this campus or this building's floor area:
  • Diesel
    • What is the percentage of floor area that this energy source was used to heat?
    • Total percentage of this campus or this building's floor area:
  • Kerosene
    • What is the percentage of floor area that this energy source was used to heat?
    • Total percentage of this campus or this building's floor area:
  • Propane or other bottled gas
    • What is the percentage of floor area that this energy source was used to heat?
    • Total percentage of this campus or this building's floor area:
  • District steam
    • What is the percentage of floor area that this energy source was used to heat?
    • Total percentage of this campus or this building's floor area:
  • District hot water
    • What is the percentage of floor area that this energy source was used to heat?
    • Total percentage of this campus or this building's floor area:
  • Wood
    • What is the percentage of floor area that this energy source was used to heat?
    • Total percentage of this campus or this building's floor area:
  • Solar
    • What is the percentage of floor area that this energy source was used to heat?
    • Total percentage of this campus or this building's floor area:
  • Other
    • Specify other energy source for heating space:
    • What is the percentage of floor area that this energy source was used to heat?
    • Total percentage of this campus or this building's floor area:
  • None of the above
    i.e., this campus or this building was not heated

84. During the 2019 calendar year, what was the main energy source used to cool the largest proportion of floor area in this campus or this building?

Select all that apply.

  • Electricity
    • What is the percentage of floor area that this energy source was used to cool?
    • Total percentage of this campus or this building's floor area:
  • Natural gas
    • What is the percentage of floor area that this energy source was used to cool?
    • Total percentage of this campus or this building's floor area:
  • District chilled water
    • What is the percentage of floor area that this energy source was used to cool?
    • Total percentage of this campus or this building's floor area:
  • Other
    • Specify other energy source for heating space:
    • What is the percentage of floor area that this energy source was used to cool?
    • Total percentage of this campus or this building's floor area:
  • None of the above
    i.e., the this campus or this building was not cooled

85. During the 2019 calendar year, what was the principal energy source used for city or municipal (domestic) water heating in this campus or this building?

City or municipal (domestic) water: Water used for indoor or outdoor sanitary or domestic use (e.g., flushing toilets, drinking, watering lawns or gardens) but without application to an industrial, manufacturing or general heating process.

Include water used by all enclosed floors, mechanical rooms, common areas, basements, annexes, portable structures, and other temporary areas.

Exclude water used for heating space in this this campus or this building.

  • Electricity
  • Natural gas
  • Furnace, heating or light fuel oil
  • Diesel
  • Kerosene
  • Propane or other bottled gas
  • District steam
  • District hot water
  • Wood
  • Solar
  • Other
    Specify other energy source for domestic water heating:
  • None of the above
    i.e., the city or municipal (domestic) water was not heated

Energy conservation

86. During the 2019 calendar year, which of the following energy conservation or energy efficiency practices were adopted or undertaken in this campus or this building?

Exclude renovations and retrofits which will be reported later in the questionnaire.

Select all that apply.

  • Energy monitoring
    e.g., tracking energy use over time
  • Energy benchmarking
    e.g., comparing monthly bills
  • Employee or occupant conservation awareness program
  • Corporate energy policy
  • Recommissioning project
    i.e., a project to ensure all heating, cooling, ventilation, and lighting systems are performing at optimal levels
  • Other energy conservation or energy efficiency practices
    • Specify other energy conservation or energy efficiency practice 1:
    • Specify other energy conservation or energy efficiency practice 2:
    • Specify other energy conservation or energy efficiency practice 3:
    • Specify other energy conservation or energy efficiency practice 4:
    • Specify other energy conservation or energy efficiency practice 5:
  • OR
    None of the above

Energy tracking

87. Which of the following systems are used to track this campus or this building's energy use over time?

Select all that apply.

  • Spreadsheet developed in-house
  • Bill comparison
  • ENERGY STAR Portfolio Manager®
  • RETScreen
  • Other tracking systems
    • Specify other tracking system used 1:
    • Specify other tracking system used 2:
    • Specify other tracking system used 3:
    • Specify other tracking system used 4:
    • Specify other tracking system used 5:
  • OR
    None of the above

Energy-efficient features

88. On December 31st, 2019, which of the following energy-efficient features were present in this campus or this building?

Energy-efficient features: Devices, equipment and processes designed to use less energy to provide the same service.
e.g., LED bulb

Select all that apply.

  • Reduction of enclosed floor area
    e.g., installing a drop ceiling to reduce the volume of conditioned space
  • Energy-efficient lighting
    e.g., LED bulb
  • Lighting energy management-control system
  • Energy-efficient heating equipment
  • Heating and cooling management-control system
  • Heat recovery system
  • Energy-efficient cooling equipment
    i.e., circulating naturally-cooled air as a source of space cooling
  • Energy-efficient windows
  • Exterior window shading
  • Insulation of basement, roof, or walls
    • Other energy-efficient features
    • Specify other energy-efficient feature 1:
    • Specify other energy-efficient feature 2:
    • Specify other energy-efficient feature 3:
    • Specify other energy-efficient feature 4:
    • Specify other energy-efficient feature 5:
  • OR
    No energy-efficient features were present

Modifications

89. From January 1st, 2015 to December 31st, 2019, which of the following modifications took place on this campus or this building?

Select all that apply.

  • Retrofit
    The process of upgrading a building's energy-consuming systems or including energy efficiency measures in renovation and repair activities.
    e.g., improving or replacing lighting fixtures, ventilation systems, or windows and doors, or adding insulation
    • What was the total number of buildings that were affected by retrofits?
    • When precise figures are not available, please provide your best estimate.
      If the campus only has one building, please enter “1”.
    • Total number of buildings:
  • Renovation
    The restoration of deteriorated buildings or structures to improve physical condition.
    e.g., repair, conversion, expansion, remodeling, or reconstruction
    • What was the total number of buildings that were affected by renovations?
    • When precise figures are not available, please provide your best estimate.
      If the campus only has one building, please enter “1”
    • Total number of buildings:
  • Recommission or retrocommission
    A process of analysis to ensure all heating, cooling, ventilation, and lighting systems are performing at optimal levels.
    e.g., system tuning, operations, and maintenance training
    • What was the total number of buildings that were affected by recommission or retrocommissions?
    • When precise figures are not available, please provide your best estimate.
      If the campus only has one building, please enter “1”
    • Total number of buildings:
  • Demolition
    Removal of a building's functional space that results in a decrease of gross floor area.
    • What was the total number of buildings that were affected by demolition?
    • When precise figures are not available, please provide your best estimate.
      If the campus only has one building, please enter “1”
    • Total number of buildings:
  • OR
    None of the above

Recommissions and retrocommissions

90. In which of the following time periods was this campus or this building last recommissioned or retrocommissioned?

Recommission and retrocommission: A process of analysis to ensure heating, cooling, ventilation or lighting systems are performing at optimal levels.
e.g., system tuning, operations and maintenance training

  • Between January 1st, 2010 and December 31st, 2014
  • Between January 1st, 2005 and December 31st, 2009
  • Between December 31st, 2004 or earlier
  • This campus or this building has never been recommissioned or retrocommissioned
  • Do not know

Renovations and retrofits

91. When did this campus or this building install its last series of renovations?

Renovation: The restoration of deteriorated buildings or structures to improve physical condition.
e.g., repair, conversion, expansion, remodeling, reconstruction

  • Between January 1st, 2010 and December 31st, 2014
  • Between January 1st, 2005 and December 31st, 2009
  • Between December 31st, 2004 or earlier
  • This campus or this building has never been renovated
  • Do not know

92. When did this campus or this building install its last series of retrofits?

Retrofit: The process of upgrading a building's energy-consuming systems or including energy efficiency measures in renovation and repair activities.
e.g., improving or replacing lighting fixtures, ventilation systems, windows, doors, or adding insulation

  • Between January 1st, 2010 and December 31st, 2014
  • Between January 1st, 2005 and December 31st, 2009
  • Between December 31st, 2004 or earlier
  • This campus or this building has never been retrofitted
  • Do not know

Renovations

93. For which of the following reasons did the most recent series of renovations take place in this campus or this building?

Renovation: The restoration of deteriorated buildings or structures to improve physical condition.
e.g., repair, conversion, expansion, remodeling, reconstruction

Select all that apply.

  • Faulty equipment
  • End of life equipment
  • Improve energy efficiency
  • Improve asset value
  • Conversion of space to meet changes in operational needs
  • Voluntary application of codes and standards
  • New construction due to partial expansion
  • Other

Retrofits

94. For which of the following reasons did the most recent series of retrofits take place in this campus or this building?

Retrofit: The process of upgrading a building's energy-consuming systems or including energy efficiency measures in renovation and repair activities.
e.g., improving or replacing lighting fixtures, ventilation systems, windows, doors, or adding insulation

Select all that apply.

  • Faulty equipment
  • End of life equipment
  • Improve energy efficiency
  • Improve asset value
  • Conversion of space to meet changes in operational needs
  • Voluntary application of codes and standards
  • New construction due to partial expansion
  • Other

Recommissions or retrocommissions from January 1st, 2015 to December 31st, 2019

95. During the last 5 years, which of the following systems in this campus or this building were subject to recommissioning or retrocommissioning?

Recommission and retrocommission: A process of analysis to ensure heating, cooling, ventilation or lighting systems are performing at optimal levels.
e.g., system tuning, operations, and maintenance training

Select all that apply.

  • HVAC systems
  • Monitoring and control systems
  • Lighting systems
  • Power systems
  • Plumbing or pumping systems
  • Other systems
    • Specify other system 1:
    • Specify other system 2:
    • Specify other system 3:
    • Specify other system 4:
    • Specify other system 5:

96. As a result of all recommissioning or retrocommissioning projects undertaken in this campus or this building during the last 5 years, what was the estimated percent reduction in annual energy consumption?

Recommission and retrocommission: A process of analysis to ensure heating, cooling, ventilation or lighting systems are performing at optimal levels.
e.g., system tuning, operations and maintenance training

Please provide your best estimate.

  • 0% to less than 10% reduction in annual energy consumption
  • 10% to less than 20% reduction in annual energy consumption
  • 20% to less than 30% reduction in annual energy consumption
  • 30% or greater reduction in annual energy consumption
  • Do not know

Renovations or retrofits from January 1st, 2015 to December 31st, 2019

97. During the last 5 years, which of the following renovations or retrofits were implemented in this campus or this building?

Renovation: The restoration of deteriorated buildings or structures to improve physical condition.
e.g., repair, conversion, expansion, remodeling, or reconstruction

Retrofit: The process of upgrading a building's energy-consuming systems or including energy efficiency measures in renovation and repair activities.
e.g., improving or replacing lighting fixtures, ventilation systems, or windows and doors, or adding insulation

Select all that apply.

  • Building insulation
    Include weather stripping.
  • Windows and doors
    Include freezer strip doors.
  • Exterior window shading
  • Energy efficient lighting equipment
    e.g., LED bulbs
    Exclude lighting in parking lots.
  • Energy management control systems (EMCS)
    e.g., controls for HVAC
    Include lighting, motion detectors, and automatic shut off.
  • Space heating
    Include boilers, rooftop units, and furnaces.
  • Waste heat recovery boiler
  • Space cooling
    Include air conditioning systems and dehumidification systems.
  • Ice making equipment
    i.e., refrigeration plant
  • Reflective (low emissivity) ceiling
  • Aesthetic or structural changes
  • Other types of renovations or retrofits
    • Specify other type of renovation or retrofit 1:
    • Specify other type of renovation or retrofit 2:
    • Specify other type of renovation or retrofit 3:
    • Specify other type of renovation or retrofit 4:
    • Specify other type of renovation or retrofit 5:
  • OR
    None of the above

98. What was the total cost of all renovations or retrofits that were implemented in this campus or this building during the last 5 years?

When precise figures are not available, please provide your best estimate.

  • Total cost of all renovations during the last 5 years in CAN$:
  • Total cost of all retrofits during the last 5 years in CAN$:
    OR
  • Unable to separate total cost of all renovations and retrofits.
    • Total cost of all renovations and retrofits during the last 5 years in CAN$:

99. Provide the following details on the renovations or retrofits that were implemented in this campus or this building during the last 5 years.

When precise figures are not available, please provide your best estimate.

  • Building insulation
    Include weather stripping.
    • Percentage of total floor area affected by renovation or retrofit:
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Windows and doors
    Include freezer strip doors.
    • Percentage of total floor area affected by renovation or retrofit:
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Exterior window shading
    • Percentage of total floor area affected by renovation or retrofit:
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Energy-efficient lighting equipment
    e.g., LED bulbs
    Exclude lighting in parking lots.
    • Percentage of total floor area affected by renovation or retrofit:
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Energy management control systems (EMCS)
    e.g., controls for HVAC
    Include lighting, motion detectors, and automatic shut off.
    • Percentage of total floor area affected by renovation or retrofit:
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Space heating
    Include boilers, rooftop units, and furnaces.
    • Percentage of total floor area affected by renovation or retrofit:
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Waste heat recovery boiler
    • Percentage of total floor area affected by renovation or retrofit:
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Space cooling
    • Percentage of total floor area affected by renovation or retrofit
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Ice making equipment
    i.e., refrigeration plant
    • Percentage of total floor area affected by renovation or retrofit:
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Reflective (low emissivity) ceiling
    • Percentage of total floor area affected by renovation or retrofit:
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Aesthetic or structural changes
    • Percentage of total floor area affected by renovation or retrofit:
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Other
    • Percentage of total floor area affected by renovation or retrofit:
    • Was efficiency improved after renovation or retrofit?
      • Yes
      • No
      • No prior system
    • How was this renovation or retrofit financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other

100. As a result of all renovations or retrofits implemented on this campus or this building from January 1st, 2015 to December 31st, 2019 what was the estimated percent reduction in annual energy consumption?

When precise figures are not available, please provide your best estimate.

  • 0% to less than 10% reduction in annual energy consumption
  • 10% to less than 20% reduction in annual energy consumption
  • 20% to less than 30% reduction in annual energy consumption
  • 30% or greater reduction in annual energy consumption
  • Do not know

Renovations and retrofits planned from January 1st, 2020 to December 31st, 2024

101. From January 1st, 2020 to December 31st, 2024 which of the following renovations or retrofits are planned for?

Renovation: The restoration of deteriorated buildings and structures to improve physical condition.
e.g., repair, conversion, expansion, remodeling, reconstruction

Retrofit: The process of upgrading a building's energy-consuming systems or including energy efficiency measures in renovation and repair activities.
e.g., improving or replacing lighting fixtures, ventilation systems, windows, doors, or adding insulation

Select all that apply.

  • Building envelope
    e.g., insulation, windows, doors, exterior window shading, reflective (low emissivity) ceiling
    Include weather stripping and freezer strip doors.
  • Energy-efficient lighting equipment
    e.g., LED bulbs
    Exclude lighting in parking lots.
  • Energy management control systems (EMCS)
    e.g., controls for HVAC
    Include lighting, motion detectors, and automatic shut off.
  • Space heating or cooling, and other similar systems
    e.g., waste heat recovery boiler, ice-making equipment
    Include boilers, rooftop units, furnaces, air conditioning systems, dehumidification systems and refrigeration plants.
  • Aesthetic or structural changes
  • Other types of renovations or retrofits planned
    • Specify other type of renovation or retrofit planned 1:
    • Specify other type of renovation or retrofit planned 2:
    • Specify other type of renovation or retrofit planned 3:
    • Specify other type of renovation or retrofit planned 4:
    • Specify other type of renovation or retrofit planned 5:
  • OR
    Renovations and retrofits planned but still to be determined
  • OR
    No renovations or retrofits planned for the next 5 years

102. For the renovations and retrofits planned for this campus or this building from January 1st, 2020 to December 31st, 2024 what will be the total floor area affected and the estimated total cost?

Renovation: The restoration of deteriorated buildings and structures to improve physical condition.
e.g., repair, conversion, expansion, remodeling, reconstruction

Retrofit: The process of upgrading a building's energy-consuming systems or including energy efficiency measures in renovation and repair activities.
e.g., improving or replacing lighting fixtures, ventilation systems, windows, doors, or adding insulation

When precise figures are not available, please provide your best estimate.

  • Unit of measure:
    • Square feet
    • Square metres
  • Total floor area affected by all planned renovations and retrofits:
  • Estimated cost of all planned renovations or retrofits in CAN$:
  • OR
    Do not know

103. Provide details on the renovations or retrofits planned for this campus or this building from January 1st, 2020 to December 31st, 2024.

When precise figures are not available, please provide your best estimate.

  • Building envelope
    e.g., insulation, windows, doors, exterior window shading, reflective (low emissivity) ceiling
    Include weather stripping and freezer strip doors.
    • Year renovation or retrofit is planned:
    • Is this renovation or retrofit intended to improve efficiency?
      • Yes
      • No
      • No prior system
    • How will this planned renovation or retrofit be financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Energy-efficient lighting equipment
    e.g., LED bulbs
    Exclude lighting in parking lots.
    • Year renovation or retrofit is planned:
    • Is this renovation or retrofit intended to improve efficiency?
      • Yes
      • No
      • No prior system
    • How will this planned renovation or retrofit be financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Energy management control systems (EMCS)
    e.g., controls for HVAC
    Include lighting, motion detectors, and automatic shut off.
    • Year renovation or retrofit is planned:
    • Is this renovation or retrofit intended to improve efficiency?
      • Yes
      • No
      • No prior system
    • How will this planned renovation or retrofit be financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Space heating or cooling, and other similar systems
    e.g., waste heat recovery boiler, ice-making equipment
    Include boilers, rooftop units, furnaces, air conditioning systems, dehumidification systems and refrigeration plants.
    • Year renovation or retrofit is planned:
    • Is this renovation or retrofit intended to improve efficiency?
      • Yes
      • No
      • No prior system
    • How will this planned renovation or retrofit be financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Aesthetic or structural changes
    • Year renovation or retrofit is planned:
    • Is this renovation or retrofit intended to improve efficiency?
      • Yes
      • No
      • No prior system
    • How will this planned renovation or retrofit be financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other
  • Other planned renovations or retrofits
    • Year renovation or retrofit is planned:
    • Is this renovation or retrofit intended to improve efficiency?
      • Yes
      • No
      • No prior system
    • How will this planned renovation or retrofit be financed?
      Select all that apply.
      • Self-financed
      • Energy performance contract
      • Loan
      • Subsidized with incentives
      • Other

Share for RTRA

share-rtra.pdf (PDF, 237.25 KB)

Basic Share for RTRA

1. The RTRA Share procedure shows the relationship between two continuous variables. For example, this procedure can be used to calculate the Share of income to spending by sex. To generate a Share, call the following RTRA procedure:

%RTRAShare(
InputDataset=,
OutputName=,
ClassVarList=,
ShareOfVar=,
ByVar=,
UserWeight=);

2. %RTRAShare parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName= identify the output dataset name you want returned (maximum of 20 characters and the first character be a letter).

ClassVarList = identify a maximum of four variables for the dimensions of the Share procedure. These variable needs to be delimited by a space or asterisk. Each variable must contain more than one but no more than 500 unique values. This parameter may be left empty if you wish to calculate Shares for the entire population.

NumeratorVar = identify exactly one variable as the numerator. This variable must be of type numeric.

DenominatorVar = identify exactly one variable as the denominator. This variable must be of type numeric.

ByVar = identify exactly one variable for the Share procedure. This variable must contain more than one but no more than 500 unique values.

UserWeight = refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: This procedure can be used to calculate the Share of total income over total number of hours worked, giving an hourly wage rate. You would like this Share calculated for each "Province".

%RTRAShare(
InputDataset=work.LFS,
OutputName=Table1,
ClassVarList=,
ShareOfVar=Income,
ByVar=Province,
UserWeight=Finalwt);

The following table displays results from the example procedure above.

Table 1
Results from example procedure
Province _Share_ _Count_
    27268000
ON 0.0183 428000
QC 0.0041 115000
BC 0.028 784000
SK 0.021 628000
MB 0.197 6420000
AB 0.4 10580000
NS 0.036 955000
NL 0.034 806000
PEI 0.117 2839000
NB 0.149 3713000
Note: Output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.

The results in this table can be read as follows:

  • The total weighted population
  • associated with the calculation of this table is equal to 27,268,000.
  • Ontario's share of total income in Canada is equal to 1.83 %. The weighted population associated with this calculation is equal to 428,000.
  • Quebec's share of total income in Canada is equal to 0.41%. The weighted population associated with this calculation is equal to 115,000
  • ... etc.

L5 Share for RTRA

1. This is the RTRA procedure macro for producing Share tabulations which include a selected Level 5 statistic. For example, this procedure can be used to calculate the share of total income earned by province. To generate share tabulations, call the following RTRA procedure:

%RTRAShareL5(
InputDataset=,
OutputName=,
ClassVarList=,
ShareOfVar=,
ByVar=,,
L5Stat=,,
L5Type=,,
L5ByVar=,
L5BaseVal=,,
UserWeight=),

2. %RTRAShareL5 parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name that is to be given to the final output files corresponding to this call to RTRAShareL5. The tabulated results is assigned an internally generated name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generates name and the final output file names.

ClassVarList = identify a maximum of four variables for the dimensions of the share procedure. For RTRAShareL5, it is valid to omit this parameter or specify blank. Variables in the list can be separated by any number of spaces, asterisks or combination of spaces and asterisks.

ShareOfVar = identify exactly one variable for the share procedure. This variable must be numeric. The share will be calculated on this continuous variable.

ByVar = identify exactly one variable for the share procedure. This variable must contain more than one but no more than 500 unique values and is appended to the class variable list in CreateEngineXML.

L5Stat = identifies the name of the Level 5 statistic. Valid values are LC and ST (case insensitive).

L5Type = identifies the Level 5 statistic type. Valid values are SEQUENTIAL, BASE and GLOBAL (case insensitive).

L5ByVar = identifies the Level 5 BY variable. The specified variable must either exist in <classVarList> or be the same as <byVar>.

L5BaseVal = identifies the Level 5 base value. This parameter is only applicable if <L5Type> is BASE and must be blank if <L5Type> is SEQUENTIAL or GLOBAL. If applicable, the specified value must exist in the variable <L5ByVar> in the input data set.

UserWeight = the survey weight variable (and bootstrap weight variables if they exist) is located in a weights data set in the RTRA data library. The name of the weights data set is the same as the name of the survey weight variable that it contains.

3. Example: This procedure can be used to calculate the share of mortgage payments by family type, calculated by total income. Suppose you ran the following RTRA procedure to calculate a share of variable called "mtgpmts" which refers to "mortgage payments". You would like this share to be calculated for a variable called "Income".

%RTRAShareL5(
InputDataset=work.family1,
OutputName=Table2,
ClassVarList=,
ShareOfVar=mtgpmts,
ByVar=Income,
L5Stat=ST,
L5Type=Global,
L5ByVar=Income
UserWeight=weight);

The following table displays results from the example procedure above.

Table 2
Results from example procedure
Income _Share_ Share_STG _Count_
Less than $23,200 0.029 -1 2920500
$23,200 to $41,325 0.082 -1 2872500
$41,325 to $61,200 0.165 -1 2896000
$61,200 to $91,675 0.31 -1 2948000
More than $91,675 0.41 -1 2933000
Note: output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.

L5SOT Share for RTRA

1. This is the RTRA procedure macro for producing Share tabulations which include a selected Level 5 Sequential Over Time (L5SOT) statistic. For example, this procedure can be used to calculate the share of total income earned by province. To generate share tabulations, call the following RTRA procedure:

%RTRAShareL5SOT(
InputDataset=,
OutputName=,
ClassVarList=,
ShareOfVar=,
ByVar=,
L5Stat=,
L5YrVar=,
L5MonVar=,
L5QtrVar=
L5TimeInt=,
UserWeight=)

2. %RTRAShareL5SOT parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name that is to be given to the final output files corresponding to this call to RTRAShareL5SOT. The tabulated results is assigned an internally generated name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generates name and the final output file names.

ClassVarList = identify a maximum of four variables for the dimensions of the share procedure. These variables need to be delimited by spaces or asterisks. It is valid to omit this parameter or specify blank.

ShareOfVar = identify exactly one variable for the share procedure. This variable must be numeric. The share will be calculated on this continuous variable.

ByVar = identify exactly one variable for the share procedure. This variable must contain more than one but no more than 500 unique values and is appended to the class variable list in CreateEngineXML.

L5Stat = identifies the name of the Level 5 statistic. Valid values are LC and ST (case insensitive).

L5YrVar = identifies the Level 5 year variable.

L5MonVar = (optional) identifies the Level 5 month variable. Valid to omit this parameter or specify blank. If L5MonVar is specified then L5 QtrVar must be blank or omitted.

L5QtrVar = (optional) identifies the Level 5 quarter variable. Valid to omit this parameter or specify blank. If L5 QtrVar is specified then L5MonVar must be blank or omitted.

L5TimeInt = (optional) identifies the Level 5 time interval. Value specified must be an integer greater than 0. Valid to omit this parameter but default integer must be 1.

UserWeight = Refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: This procedure can be used to calculate the share of hours by level of education, calculated by province. Suppose you ran the following RTRA procedure to calculate a share of the hours variable called "HOURS". You would like this share to be calculated for a variable called "EDUCATION".

%RTRAShareL5SOT(
InputDataset=work.LFS,
OutputName=ShareOfHours,
ClassVarList=PROVINCE,
ShareOfVar=HOURS,
ByVar=EDUCATION,
L5Stat=LC,
L5YrVar=YEAR,
L5ByVar=MONTH,
UserWeight=FINALWT);

The following table displays results from the example procedure above.

Table 3
Results from example procedure
YEAR MONTH PROVINCE EDUCATION _SHARE_ SHARE_LC HOURS_COUNT
2015 January Ontario   1   6767750
2015 January Ontario College 0.35   2291500
2015 January Ontario High school 0.25   1806000
2015 January Ontario Less than high school 0.068   537750
2015 January Ontario University 0.33   2132500
2015 February Ontario   1 0 6802000
2015 February Ontario College 0.36 0.0048 2333000
2015 February Ontario High school 0.25 -0.0032 1788000
2015 February Ontario Less than high school 0.066 -0.0023 529250
2015 February Ontario University 0.33 0.00076 2151750
2015 March Ontario   1 0 6781250
2015 March Ontario College 0.35 -0.0028 2305750
2015 March Ontario High school 0.25 0.0034 1791500
2015 March Ontario Less than high school 0.065 -0.00062 528750
2015 March Ontario University 0.33 9.00E-06 2155250
Note: output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.
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Ratio for RTRA

Ratio for RTRA (PDF, 241.94 KB)

Basic Ratio for RTRA

1. The RTRA ratio procedure shows the relationship between two continuous variables. For example, this procedure can be used to calculate the ratio of income to spending by sex. To generate a ratio, call the following RTRA procedure:

%RTRARatio(
InputDataset=,
OutputName=,
ClassVarList=,
NumeratorVar=,
DenominatorVar=,
ByVar=,
UserWeight=);

2. %RTRARatio parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the output dataset name you want returned (maximum of 20 characters and the first character must be a letter).

ClassVarList = identify a maximum of four variables for the dimensions of the ratio procedure. These variable needs to be delimited by a space or asterisk. Each variable must contain more than one but no more than 500 unique values. This parameter may be left empty if you wish to calculate ratios for the entire population.

NumeratorVar = identify exactly one variable as the numerator. This variable must be of type numeric.

DenominatorVar = identify exactly one variable as the denominator. This variable must be of type numeric.

ByVar = identify exactly one variable for the ratio procedure. This variable must contain more than one but no more than 500 unique values.

UserWeight = refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: This procedure can be used to calculate the ratio of total income over total number of hours worked, giving an hourly wage rate. You would like this ratio calculated for each "Province".

%RTRARatio(
InputDataset=work.LFS,
OutputName=Table1,
ClassVarList=,
NumeratorVar=Income,
DenominatorVar=Hours_worked,
ByVar=Province,
UserWeight=Finalwt);

The following table displays results from the example procedure above.

Table 1
Results from example procedure
Province _Ratio_ _Count_
    27268000
ON 9.50 428000
QC 9.00 115000
BC 8.00 784000
SK 9.25 628000
MB 9.00 6420000
AB 8.80 10580000
NS 8.60 955000
NL 9.00 806000
PEI 8.40 2839000
NB 8.25 3713000
Note: Output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.

The results in this table can be read as follows:

  • The total weighted population associated with the calculation of this table is equal to 27,268,000.
  • The ratio of total income over total number of hours worked in Ontario equals to $9.50 per hour. The weighted population associated with this calculation is equal to 428,000.
  • The ratio of total income over total number of hours worked in Quebec equals to $9.00 per hour. The weighted population associated with this calculation is equal to 115,000.
  • ... etc.

L5 Percentile for RTRA

1. This is the RTRA procedure macro for producing tabulations which include a selected Level 5 statistic. It calls the macro ProcessRequest which is the processing routine common to all RTRA procedure macros. For example, this procedure can be used to calculate the ratio of income to spending by sex. To generate a ratio, call the following RTRA procedure:

%RTRARatioL5(
InputDataset=,
OutputName=,
ClassVarList=,
NumeratorVar=,
DenominatorVar=,
ByVar=,
L5Stat=,
L5Type=,
L5ByVar=,
L5BaseVal=,
UserWeight=);

2. %RTRARatioL5 parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identifies the name that is to be given to the final output files corresponding to this call to RTRARatioL5. The tabulated results output data set is assigned an internally generated name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generated name and the final output file names.

ClassVarList = identify a maximum of four variables for the dimensions of the ratio procedure. For RTRARatioL5, it is valid to omit this parameter or specify blank. Variables in the list can be separated by any number of spaces, asterisks or combination of spaces and asterisks.

NumeratorVar = identify exactly one variable as the numerator. This variable must be of type numeric.

DenominatorVar = identify exactly one variable as the denominator. This variable must be of type numeric.

ByVar = identify exactly one variable for the ratio procedure. This variable must contain more than one but no more than 500 unique values.

L5Stat = identifies the name of the Level 5 statistic. Valid values are LC, PC and ST (case insensitive).

L5Type = identifies the statistic type. Valid values are SEQUENTIAL, BASE and GLOBAL (case insensitive).

L5ByVar = identifies the Level 5 BY variable. The specified variable must either exist in <classVarList> or be the same as <byVar>.

L5BaseVal = identifies the Level 5 base value. This parameter is only applicable if <L5Type> is BASE and must be blank if <L5Type> is SEQUENTIAL or GLOBAL. If applicable, the specified value must exist in the variable <L5ByVar> in the input data set.

UserWeight = Refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: This procedure can be used to analyze the evolution of household debt in Canada. You would like this ratio calculated for each "Region".

%RTRARatioL5(
InputDataset=work.test,
OutputName=Table2,
ClassVarList=,
NumeratorVar=AD_Q12,
DenominatorVar=assets,
ByVar=Region,
L5Stat=PC,
L5Type=global,
L5ByVar=REGION,
UserWeight=WTPM);

The following table displays results from the example procedure above. Please note that this is a section of the data in the documentation and a select few entries of the actual output have been pulled for the purpose of having smaller outputs.

Table 2
Results from example procedure
Region _Ratio_ RATIO_PCG _Count_
Atlantic 0.0137 0.45 13000
Quebec 0.0157 0.66 66000
Ontario 0.075 -0.21 109000
Manitoba and Saskatchewan 0.103 0.087 22000
Alberta 0.122 0.28 56000
British Columbia 0.064 -0.33 35000
Canada 0.095 0 301000
Note: Output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.

L5SOT Percentile for RTRA

1. This is the RTRA procedure macro for producing tabulations which include a selected Level 5 sequential over time statistic. It calls the macro ProcessRequest which is the processing routine common to all RTRA procedure macros. For example, this procedure can be used to calculate the ratio of income to spending by sex. To generate a ratio, call the following RTRA procedure:

%RTRARatioL5SOT(
InputDataset=,
OutputName=,
ClassVarList=,
NumeratorVar=,
DenominatorVar=,
ByVar=,
L5Stat=,
L5YrVar=,
L5MonVar=,
L5QtrVar=,
L5TimeInt=,
UserWeight=);

2. %RTRARatioL5SOT parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identifies the name that is to be given to the final output files corresponding to this call to RTRARatioL5SOT. The tabulated results output data set is assigned an internally generated name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generated name and the final output file names.

ClassVarList = identify a maximum of four variables for the dimensions of the ratio procedure. For RTRARatioL5SOT, it is valid to omit this parameter or specify blank. Variables in the list can be separated by any number of spaces, asterisks or combination of spaces and asterisks.

NumeratorVar = identify exactly one variable as the numerator. This variable must be of type numeric.

DenominatorVar = identify exactly one variable as the denominator. This variable must be of type numeric.

ByVar = identify exactly one variable for the ratio procedure. This variable must contain more than one but no more than 500 unique values.

L5Stat = identifies the name of the Level 5 statistic. Valid values are LC, PC and ST (case insensitive).

L5YrVar = identifies the name of the Level 5 year variable.

L5MonVar = identifies the Level 5 month variable. It is valid to omit this parameter or specify blank. If L5MonVar is specified then L5QtrVar must be blank or omitted.

L5QtrVar = identifies the Level 5 quarter variable. It is valid to omit this parameter or specify blank. If L5QtrVar is specified then L5MonVar must be blank or omitted.

L5TimeInt = identifies the Level 5 time interval. The value specified must be an integer greater than 0. It is valid to omit this parameter. If omitted, the default time interval is 1.

UserWeight = Refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: This procedure can be used to analyze the change in the specific marital status of individuals in each province, based on education levels, throughout the year. You would like this ratio calculated for each "Gender".

%RTRARatioL5SOT(
InputDataset=work.LFS,
OutputName=Table3,
ClassVarList=EDUCATION PROVINCE,
NumeratorVar=NUM_MARSTAT,
DenominatorVar=NUM_PROV,
ByVar=NUM_SEX,
L5Stat=LC,
L5YrVar=NUM_SYEAR,
L5MonVar=NUM_SMTH,
UserWeight=FINALWT);

The following table displays results from the example procedure above. Please note that this is a section of the data in the documentation and a select few entries of the actual output have been pulled for the purpose of having smaller outputs. For this example we will only use responses from women in a relationship in Ontario who have obtained a College degree.

Table 3
Results from example procedure
NUM_SMTH _RATIO_ RATIO_LCS NUM_MARSTAT_COUNT
January 0.073 0 1683250
February 0.072 -0.00078 1705750
March 0.072 -0.000024 1685750
April 0.072 0.000048 1699250
May 0.074 0.00158 1746500
June 0.074 0.00086 1732750
Note: Output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.

Proportions for RTRA

proportions-rtra.pdf (PDF, 224.36 KB)

Basic Proportions for RTRA

1. The RTRA proportion procedure calculates the population distribution of a discrete variable. For example, this procedure can be used to calculate the proportion of the population living with asthma. To generate a proportion, call the following RTRA procedure:

%RTRAProportion(
InputDataset=,
OutputName=,
ClassVarList=,
ByVar=,
UserWeight=);

2. %RTRAProportion parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name of the output files you want returned (maximum of 20 characters and the first character must be a letter).

ClassVarList = identify a maximum of four variables for the dimensions of the proportion procedure. These variables need to be delimited by spaces or asterisks. Each variable must contain more than one but no more than 500 unique values. This parameter may be left empty if you wish to calculate a proportion for the entire population.

ByVar = identify exactly one variable for the proportion procedure. This variable must contain more than one but no more than 500 unique values. Your population distribution will be calculated on this discrete variable.

UserWeight= refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged to the InputDataset using the ID variable.

3. Example: This procedure can be used to calculate the proportion of population living with asthma. Suppose you ran the following RTRA procedure to calculate a proportion of a variable called "Asthma" to generate a table named "Table1". You would like to calculate this proportion for each gender using variable called "Sex".

%RTRAProportion(
InputDataset=work.CCHS,
OutputName=Table1,
ClassVarList=Sex,
ByVar=Asthma,
UserWeight=Finalwt);

The following table displays results from the example procedure above.

Table 1
Results from example procedure
Sex Asthma _Proportion_ _Count_
      200
  Yes 0.10 20
  No 0.90 180
Female     110
Female Yes 0.09 10
Female No 0.91 100
Male     90
Male Yes 0.11 10
Male No 0.89 80

L5 Proportions for RTRA

1. This is the RTRA procedure macro for producing Proportion tabulations which include a selected Level 5 statistic. The RTRA proportion procedure calculates the population distribution of a discrete variable. For example, this procedure can be used to calculate the proportion of the population living with asthma. To generate a proportion, call the following RTRA procedure:

%RTRAProportionL5(
InputDataset=,
OutputName=,
ClassVarList=,
ByVar=,
L5Stat=,
L5Type=,
L5ByVar=,
L5BaseVal=,
UserWeight=);

2. %RTRAProportionL5 parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name that is given to the final output files corresponding to this call to RTRAProportionL5. The tabulated results output data set is assigned an internally generates name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generated name and the final output file names.

ClassVarList = identify a maximum of four variables for the dimensions of the proportion procedure. For RTRAProportionL5, it is valid to omit this parameter or specify blank. Variables in the list can be separated by any number of spaces, asterisks or combination of spaces and asterisks.

ByVar = identifies the name of the BY variable and is used as the share variable. It is also appended to the class variable list in CreateEngineXML.

L5Stat = identifies the name of the Level 5 statistic. Valid values are LC and ST (case insensitive).

L5Type = identifies the Level 5 statistic type. Valid values are SEQUENTIAL, BASE and GLOBAL (case insensitive).

L5ByVar = identifies the Level 5 BY variable. The specified variable must either exist in <classVarList> or be the same as <byVar>.

L5BaseVal = identifies the Level 5 base value. This parameter is only applicable if <L5Type> is BASE and must be blank if <L5Type> is SEQUENTIAL or GLOBAL. If applicable, the specified value must exist in the variable <L5ByVar> in the input data set.

UserWeight = the survey weight variable (and bootstrap weight variables if they exist) is located in a weights data set in the RTRA data library. The name of the weights data set is the same as the name of the survey weight variable that it contains.

3. Example: This procedure can be used to calculate the proportion of the population that has had a particular medical procedure completed.

Your RTRA procedure call will look like this:

%RTRAProportionL5(
InputDataset=work.ccs_asy,
OutputName=Table2,
ClassVarList=DHH_SEX,
byVar=either_sc,
L5Stat=LC,
L5Type=sequential,
L5ByVar=either_sc,
UserWeight=wts_m);

The following table displays results from the example L5 Proportions procedure above. For this example, either_sc refers to a "yes" or "no" answer as to whether or not an individual has had the particular medical procedure. Please note that this is a section of the data in the documentation and a select few entries of the actual output have been pulled for the purpose of having smaller outputs.

Table 2
Results from example procedure
DHH_SEX EITHER_SC PROPORTION PROPORTION_LCS COUNT
Male Yes 0.52 0.044 10500
Male Yes 0.4 -0.194 50500
Male No 0.63 0 43000
Male No 0.48 0 9750
Female Yes 0.27 -0.46 21250
Female Yes 0.48 -0.041 9750
Female No 0.73 0 57250
Female No 0.52 0 10750

L5SOT Proportions for RTRA

This is the RTRA procedure macro for producing Proportion tabulations which include a selected Level 5 Sequential Over Time (L5SOT) statistic. The RTRA proportion procedure calculates the population distribution of a discrete variable. For example, this procedure can be used to calculate the proportion of the population living with asthma. To generate a proportion, call the following RTRA procedure:

%RTRAProportionL5SOT(
InputDataset=,
OutputName=,
ClassVarList=,
ByVar=,
L5Stat=,
L5YrVar=,
L5MonVar=,
L5QtrVar=,
L5TimeInt=,
UserWeight=);

2. %RTRAProportionL5SOT parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name that is given to the final output files corresponding to this call to RTRAProportionL5SOT. The tabulated results output data set is assigned an internally generates name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generated name and the final output file names.

ClassVarList = identify a maximum of four variables for the dimensions of the proportion procedure. These variables need to be delimited by spaces or asterisks. Each variable must contain more than one but no more than 500 unique values. It is valid to omit this parameter or specify blank.

ByVar = identifies the name of the BY variable and is used as the share variable. It is also appended to the class variable list in CreateEngineXML.

L5Stat = identifies the name of the Level 5 statistic. Valid values are LC, PC and ST (case insensitive).

L5YrVar= identifies the Level 5 year variable.

L5MonVar = (optional) identifies the Level 5 month variable. Valid to omit this parameter or specify blank. If L5MonVar is specified then L5 QtrVar must be blank or omitted.

L5QtrVar = (optional) identifies the Level 5 quarter variable. Valid to omit this parameter or specify blank. If L5 QtrVar is specified then L5MonVar must be blank or omitted.

L5TimeInt= (optional) identifies the Level 5 time interval. Value specified must be an integer greater than 0. Valid to omit this parameter but default integer must be 1.

UserWeight = Refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged to the InputDataset using the ID variable.

3. Example: This procedure can be used to calculate the proportion of the population that has had a particular medical procedure completed.

Your RTRA procedure call will look like this:

%RTRAProportionL5SOT(
InputDataset=work.ccs_asy,
OutputName=Table3,
ClassVarList=DHH_SEX,
L5Stat=LC,
L5YrVar=ADM_YOI,
L5MonVar=ADM_MOI,
L5TimeInt=3,
UserWeight=wts_m);

The following table displays results from the example procedure above. In particular we are able to determine the "Sequential Over Time" proportion change between months based on various Genders. Please note that this is a section of the data in the documentation and a select few entries of the actual output have been pulled for the purpose of having smaller outputs.

Table 3
Results from example procedure
ADM_YOI ADM_MOI SEX _COUNT_ PROPORTION_LCS
2012 March Male 178250  
  April Male 319000 0.151
  May Male 235000 0.021
  June Male 164750 0.058
  March Female 220000  
  April Female 251250 0.061
  May Female 276500 -0.041
  June Female 144500 0.02
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Percentiles for RTRA

percentiles-rtra.pdf (PDF, 221.41 KB)

Basic Percentiles for RTRA

1. A percentile is the value of a variable below which a certain percent of observations fall. For example, the RTRA percentile procedure can be used to find the median income for males and females. To calculate percentiles, call the following RTRA procedure:

%RTRAPercentile(
InputDataset=,
OutputName=,
ClassVarList=,
AnalysisVar=,
Percentiles=,
UserWeight=);

2. %RTRAPercentile parameter definition:

InputDataset= identify the input data set from the WORK area to be used by the procedure.

OutputName= identify the name of the output files you want returned (maximum of 20 characters and the first character must be a letter).

ClassVarList= identify a maximum of five variables for the dimensions of the percentile procedure. These variables need to be delimited by spaces or asterisks. Each variable must contain more than one but no more than 500 unique values.

AnalysisVar= identify exactly one variable for the percentile procedure. This variable must be of type numeric.

Percentiles= identify up to three percentiles from the following list: 1, 5, 10, 20, 25, 30, 40, 50, 60, 70, 75, 80, 90, 95, 99. The percentile values need to be delimited by spaces.

UserWeight= refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: This procedure can be used to calculate income percentiles. Suppose you ran the following RTRA procedure to calculate the first quartile, the median, and the third quartile of a variable called "Income" to generate a table named "Table1". You would like to calculate these percentiles for each gender using a variable called "Sex".

Your RTRA procedure call will look like this:

%RTRAPercentile(
InputDataset=work.LFS,
OutputName=Table1,
ClassVarList=Education Sex,
AnalysisVar=Income,
Percentiles=25 50 75,
UserWeight=Finalwt);

The following table displays results from the example procedure above.

Table 1
Results from example procedure
Sex Income_P25 Income_P50 Income_P75 Income_Count
  20000 45000 110000 27268000
Female 28000 50000 100000 13448000
Male 16000 38000 620000 13820000
Note: Output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.

L5 Percentile for RTRA

1. A percentile is the value of a variable below which a certain percent of observations fall. Using the L5 function on Percentiles allows the user to calculate the difference between other statistics being run. For example, the RTRA L5 percentile procedure can be used to find the median income for males and females, while identifying a Percent Change. To calculate L5 percentiles, call the following RTRA procedure:

%RTRAPercentileL5(
InputDataset=,
OutputName=,
ClassVarList=,
AnalysisVar=,
Percentiles=,
L5STAT=,
L5TYPE=,
L5BYVAR=,
USERWEIGHT=);

2. %RTRAPercentileL5 parameter definition:

InputDataset= identify the input data set from the WORK area to be used by the procedure.

OutputName= identify the name of the output files you want returned (maximum of 20 characters and the first character must not be an underscore)

ClassVarList= identify a maximum of five variables for the dimensions of the percentile procedure. These variables need to be delimited by spaces or asterisks. Each variable must contain more than one but no more than 500 unique values.

AnalysisVar= identify exactly one variable for the percentile procedure. This variable must be of type numeric.

Percentiles= identify up to three percentiles from the following list: 1, 5, 10, 20, 25, 30, 40, 50, 60, 70, 75, 80, 90, 95, 99. The percentile values need to be delimited by spaces.

L5Stat =identify which higher-order statistic you would like to use. The selection must be one of the following: LC (for Level Change), PC (for Percent Change), or ST (for Significance Test).

L5ByVar =identify the BY variable. The specified variable must also exist in the ClassVarList.

L5BaseVal =identify how the values in the table cells will compare to one another. The selection must be one of the following: Sequential, Base, or Global.

UserWeight= refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: This procedure can be used to calculate income percentiles by sex with a percentage change. Suppose you ran the following RTRA procedure to calculate the first quartile, the median, and the third quartile of a variable called "Income" to generate a table named "Table2". You would like to calculate these percentiles for each gender using a variable called "Sex".

Your RTRA procedure call will look like this:

%RTRAPercentileL5(
InputDataset=work.LFS,
OutputName=Table2,
ClassVarList=Sex,
AnalysisVar=Income,
Percentiles=25 50 75,
L5STAT=PC,
L5TYPE=global,
L5BYVAR=Sex,
USERWEIGHT=Finalwt);

The following table displays results from the example procedure above.

Table 2
Results from example procedure
Sex Income_P25 Income_P50 Income_P75 Income_P25_PCG Income_P50_PCG Income_P75_PCG Income_Count
  1640 2200 2600 0 0 0 231750
Female 1510 2200 2550 -0.08 0 -0.0192 94250
Male 1800 2250 2600 0.101 0.023 0 137500
Note:Output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.

L5SOT Percentile for RTRA

1. This is the RTRA procedure macro for producing Percentile tabulations which include a selected Level 5 Sequential Over Time (L5SOT) statistic. A percentiles is the value of a variable below which a certain percent of observations fall. For example, the RTRA percentile procedure can be used to find the median income for males and females. To calculate percentiles, call the following RTRA procedure:

%RTRAPercentileL5SOT(
InputDataset=,
OutputName=,
ClassVarList=,
AnalysisVar=,
Percentiles=,
L5Stat=,
L5YrVar=,
L5MonVar=,
L5QtrVar=,
UserWeight=);

2. %RTRAPercentileL5SOT parameter definition:

InputDataset= identify the input data set from the WORK area to be used by the procedure.

OutputName= identify the name that is to be given to the final output files corresponding to this call to RTRAPercentileL5SOT. The post-processing parameters data set defines the correspondence between the internally generated name and the final output file names.

ClassVarList= identify a maximum of five variables for the dimensions of the percentile procedure. These variables need to be delimited by spaces or asterisks.

AnalysisVar= identify exactly one variable for the percentile procedure. This variable must be of type numeric.

Percentiles= identify up to three percentiles from the following list: 1, 5, 10, 20, 25, 30, 40, 50, 60, 70, 75, 80, 90, 95, 99. The percentile values need to be delimited by spaces.

L5Stat= Valid values are LC, PC and ST (case insensitive).

L5YrVar= identifies the name of the variable used as the Level 5 year variable.

L5MonVar= (optional) identifies the Level 5 month variable. Valid to omit this parameter or specify blank. If L5MonVar is specified then L5 QtrVar must be blank or omitted

L5QtrVar= (optional) identifies the Level 5 quarter variable. Valid to omit this parameter or specify blank. If L5 QtrVar is specified then L5MonVar must be blank or omitted.

L5TimeInt= (optional) identifies the Level 5 time interval. Value specified must be an integer greater than 0. Valid to omit this parameter but default integer must be 1.

UserWeight= Refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: This procedure can be used to analyze the Percent Change in weekly earnings based on different genders throughout the year.

%RTRAPercentileL5SOT(
InputDataset=work.LFS,
OutputName=Table3,
ClassVarList=Sex,
AnalysisVar=NUM_WKLYEARN,
Percentiles = 25 50 75,
L5Stat=PC,
L5YrVar=NUM_SYEAR,
L5MonVar=NUM_MONTH,
L5TimeInt=1,
UserWeight=FINALWT);

The following table displays results from the example procedure above. Please note that this is a section of the data in the documentation and a select few entries of the actual output have been pulled for the purpose of having smaller outputs. For this example we will only use results for the first third of the year 2016 with a 25% change.

Table 3
Results from example procedure
NUM_MONTH SEX NUM_WKLYEARN_P25 NUM_WKLYEARN_P25_PCS NUM_WKLYEARN_COUNT
January Male 1500 0 6750
January Female 1730 0 12250
February Male 2100 0.4 9750
February Female 1900 0.101 15500
March Male 2000 -0.048 11750
March Female 1550 -0.184 14000
April Male 2000 0 8500
April Female 1200 -0.23 14750
Note: Output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.
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Percent Distribution for RTRA

percent-distribution-rtra.pdf (PDF, 302.19 KB)

Basic Percent Distribution for RTRA

1. Percentage Distribution is a frequency distribution in which the individual class frequencies are expressed as a percentage of the total frequency equated to 100. Also known as relative frequency distribution; relative frequency table.

The %RTRAPercentDist macro can be used for producing percentage distribution tabulations.

To generate a Percent Distribution, call the following RTRA procedure:

%RTRAPercentDist(
InputDataset=,
OutputName=,
ClassVarList=,
UserWeight=);

2. %RTRAPercentDist parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name of the output files you want returned (maximum of 20 characters and the first character must be a letter).

ClassVarList = identify a maximum of five variables for the dimensions of the Percent procedure. These variables need to be delimited by spaces or asterisks. Each variable must contain more than one but no more than 500 unique values.

UserWeight = refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Applying %RTRAPercentDist varies depending if the data has bootstrap weights.

When data has bootstrap weights applied, the output will contain quality indicators specific to the selected variables. For more information about quality indicators, please visit the RTRA Outputs page.

An example of %RTRAPercentDist using data with bootstrap weights:

Suppose you ran the following RTRA procedure to generate a percent distribution table named "Table1" with the variable called "Gender" using the Aboriginal Peoples Survey (APS) 2012.

Your RTRA procedure call will look like this:

%RTRAPercentDist(
InputDataset=work.APS,
OutputName=Table1,
ClassVarList= Gender,
UserWeight=WGHT);

Table 1
Results from example procedure
GENDER _PERCENTDIST_ PERCENTDIST_SE PERCENTDIST_CILB PERCENTDIST_CIUB PERCENTDIST_BSWCNT _COUNT_
  1 0 0.999865 1 1000 963100
Female 0.53 0.00523 0.52 0.54 1000 513640
Male 0.47 0.00523 0.46 0.48 1000 449460

L5 Percent Distribution for RTRA

1. This is the RTRA procedure macro for producing Percent Distribution tabulations which include a selected Level 5 statistic. RTRAPercentDistL5 is a wrapper macro. It calls the macro ProcessRequest which is the processing routine common to all RTRA procedure macros and can be used for producing percentage distribution tabulations.

To generate an L5 Percent Distribution, call the following RTRA procedure:

%RTRAPercentDistL5(
InputDataset=,
OutputName=,
ClassVarList=,
L5Stat=,
L5Type=,
L5ByVar=,
L5BaseVal=,
UserWeight=);

2. %RTRAPercentDistL5 parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name of the output files corresponding to this call to %RTRAPercentDistL5. Tabulated results are assigned an internally generated name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generated name and the final output file names. Post-processing is then responsible for creating the final output files name.

ClassVarList = identify a maximum of five variables to be included on the percent distribution table. Variables in the list can be separated by any number of spaces, asterisks or combination of spaces and asterisks.

L5Stat= identifies the name of the Level 5 statistic. Valid values are LC and ST (case insensitive)

L5Type = identifies the Level 5 statistic type. Valid values are SEQUENTIAL, BASE and GLOBAL (case insensitive).

L5ByVar = identifies the Level 5 BY variable. The specified variable must exist in <classVarList>.

L5BaseVal = identifies the Level 5 base value. This parameter is only applicable if <L5Type> is BASE and must be blank if <L5Type> is SEQUENTIAL or GLOBAL. If applicable, the specified value must exist in the variable <L5ByVar> in the input data set.

3. Example: Suppose you ran the following RTRA procedure to generate a percent distribution table named "Table2" with the variables called "Education" and "Province" using the Labour Force Survey.

Your RTRA procedure call will look like this:

%RTRAPercentDistL5(
InputDataset=work.LFS,
OutputName=Table2,
ClassVarList= Education Province,
L5Stat=LC,
L5Type=sequential,
L5ByVar=education,
L5BaseVal=,
UserWeight=FINALWT);

The following table displays results from the Level 5 Percent Distribution example procedure above. Please note that this is a section of the data in the documentation and a select few entries of the actual output have been pulled for the purpose of having smaller outputs.

Table 2
Results from example procedure
EDUCATION PROVINCE PERCENTDIST PERCENTDIST_LCS COUNT
College Manitoba 0.0079 0 3321500
High School Manitoba 0.0088 0.00091 3702250
University Manitoba 0.003 -0.0057 2531750
College Ontario 0.096 0 40167000
High School Ontario 0.093 -0.0031 38880000
University Ontario 0.086 -0.028 36012500

L5SOT Percent Distribution for RTRA

1. This is the RTRA procedure macro for producing Percent Distribution tabulations which include a selected Level 5 Sequential Over Time (L5SOT) statistic. RTRAPercentDistL5SOT is a wrapper macro. It calls the macro ProcessRequest which is the processing routine common to all RTRA procedure macros.

The %RTRAPercentDistL5SOT macro can be used for producing percentage distribution tabulations.

To generate an L5 Percent Distribution, call the following RTRA procedure:

%RTRAPercentDistL5SOT(
InputDataset=,
OutputName=,
ClassVarList=,
L5Stat=,
L5YrVar=,
L5MonVar=,
L5QtrVar=,
L5TimeInt=,
UserWeight=);

2. %RTRAPercentDistL5SOT parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name of the output files corresponding to this call to RTRAPercentDistL5SOT. Tabulated results are assigned an internally generated name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generated name and the final output file names. Post-processing is then responsible for creating the final output files name.

ClassVarList = identify a maximum of five variables to be included on the percent distribution table. Variables in the list can be separated by any number of spaces, asterisks or combination of spaces and asterisks.

L5Stat= identifies the name of the Level 5 statistic. Valid values are LC and ST (case insensitive).

L5YrVar= identifies the Level 5 year variable.

L5MonVar = (optional) identifies the Level 5 month variable. Valid to omit this parameter or specify blank. If L5MonVar is specified then L5 QtrVar must be blank or omitted.

L5QtrVar = (optional) identifies the Level 5 quarter variable. Valid to omit this parameter or specify blank. If L5 QtrVar is specified then L5MonVar must be blank or omitted.

L5TimeInt= (optional) identifies the Level 5 time interval. Value specified must be an integer greater than 0. Valid to omit this parameter but default integer must be 1.

UserWeight = refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Applying %RTRAPercentDistL5SOT varies depending on if the data has bootstrap weights.When data has bootstrap weights applied, the output will contain quality indicators specific to the selected variables. For more information about quality indicators, please visit the RTRA Outputs page.

An example of %RTRAPercentDistL5SOT using data with bootstrap weights:

Suppose you ran the following RTRA procedure to generate a percent distribution table named "Table3" with the variable called "Education" using the Labour Force Survey.

Your RTRA procedure call will look like this:

%RTRAPercentDistL5SOT(
InputDataset=work.LFS,
OutputName=Table3,
ClassVarList= Education,
L5Stat=LC,
L5YrVar=NUM_SYEAR,
L5MonVar=NUM_SMTH,
L5TimeInt=4,
UserWeight=FINALWT);

The following table displays results from the example procedure above. In particular we are able to determine the "Sequential Over Time" Percent Distribution between months based on various Education levels. Please note that this is a section of the data in the documentation and a select few entries of the actual output have been pulled for the purpose of having smaller outputs. For this example we will only pull results for University responses.

Table 3
Results from example procedure
NUM_SYEAR NUM_SMTH EDUCATION PERCENTDIST PERCENTDIST_LCS COUNT
2015 April University 0.194   6773500
  May University 0.195 0.00173 6799250
  June University 0.198 0.0045 6908500
  July University 0.2 0.0076 7024250
  August University 0.2 0.009 7113250
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Mean for RTRA

mean-rtra.pdf (PDF, 222.52 KB)

Basic Mean for RTRA

1. The RTRA mean procedure produces the average for a continuous variable. For example, this procedure can be used to calculate the average income of those with different education levels and gender. To generate a mean, call the following RTRA procedure:

%RTRAMean(
InputDataset=,
OutputName=,
ClassVarList=,
AnalysisVarList=,
UserWeight=);

2. %RTRAMean parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name of the output files you want returned (maximum of 20 characters and the first character must be a letter).

ClassVarList = identify a maximum of five variables for the dimensions of the mean procedure. These variables need to be delimited by spaces or asterisks. Each variable must contain more than one but no more than 500 unique values.

AnalysisVarList = identify a maximum of three variables for the mean procedure. These variables must be of type numeric. Each of these variables must contain at least four unique values. These variables need to be delimited by spaces or asterisks.

UserWeight = refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: This procedure can be used to calculate average income. Suppose you ran the following RTRA procedure to calculate the mean of a variable called "Income" for a table named "Table1". You would like to calculate this average for different education levels and gender using variables called "Education" and "Sex".

Your RTRA procedure call will look like this:

%RTRAMean(
InputDataset=work.LFS,
OutputName=Table1,
ClassVarList=Education Sex,
AnalysisVarList=Income,
UserWeight=Finalwt);

The following table displays results from the example procedure above.

Table 1
Results from example procedure
Education Sex Income_mean Income_Count
  Female 30000 100
  Male 40000 100
Above high school Female 35000 60
Above high school Male 50000 55
Below high school Female 25000 40
Below high school Male 30000 45
Note: Output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.

L5 Mean for RTRA

1. This is the RTRA procedure macro for producing Mean tabulations which include a selected Level 5 statistic. RTRAMeanL5 is a wrapper macro. It calls the macro ProcessRequest which is the processing routine common to all RTRA procedure macros. To generate a mean, call the following RTRA procedure:

%RTRAMeanL5(
InputDataset=,
OutputName=,
ClassVarList=,
AnalysisVarList=,
L5Stat=,
L5Type=,
L5ByVar=,
L5BaseVal=,
UserWeight=);

2. %RTRAMeanL5 parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name of the output files corresponding to this call to RTRAMeanL5. Tabulated results are assigned an internally generated name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generated name and the final output file names. Post-processing is then responsible for creating the final output files name.

ClassVarList = identify a maximum of five variables for the dimensions of the mean procedure. Variables in the list can be separated by any number of spaces, asterisks or combination of spaces and asterisks.

AnalysisVarList = identify a maximum of three variables for the mean procedure. These variables must be separated by spaces.

L5Stat = identifies the name of the Level 5 statistic. Valid values are LC, PC and ST (case insensitive).

L5Type = identifies the Level 5 statistic type. Valid values are SEQUENTIAL, BASE and GLOBAL (case insensitive).

L5ByVar = identifies the Level 5 BY variable. The specified variable must exist in <classVarList>.

L5BaseVal =identifies the Level 5 base value. This parameter is only applicable if <L5Type> is BASE and must be blank if <L5Type> is SEQUENTIAL or GLOBAL. If applicable, the specified value must exist in the variable <L5ByVar> in the input data set.

UserWeight = the survey weight variable (and bootstrap weight variables if they exist) is located in a weights data set in the RTRA data library. The name of the weights data set is the same as the name of the survey weight variable that it contains.

3. Example: This procedure can be used to calculate average dwelling types. Suppose you ran the following RTRA procedure to calculate the mean of a variable called "NUM_DWELCODE" for a table named "Table2". You would like to calculate this average for different education levels and by province using variables called "Education" and "Province".

%RTRAMeanL5(
InputDataset=work.LFS,
OutputName=Table2,
ClassVarList=Education Province,
AnalysisVarList=NUM_DWELCODE,
L5Stat=LC,
L5Type=global,
L5ByVar=education,
L5BaseVal=,
UserWeight=FINALWT);

The following table displays results from the Level 5 Mean example procedure above. Please note that this is a section of the data in the documentation and a select few entries of the actual output have been pulled for the purpose of having smaller outputs.

Table 2
Results from example procedure
Education Province NUM_DWELCODE Mean NUM_DWELCODE _MEAN_LCG NUM_DWELCODE Count
College Manitoba 1.82 -0.084 3319000
High School Manitoba 1.94 0.042 3699000
University Manitoba 1.93 0.035 2531500
College Ontario 2.1 -0.099 40139250
High School Ontario 2.2 0.044 38821750
University Ontario 2.3 0.164 35991000

L5SOT Mean for RTRA

1. This is the RTRA procedure macro for producing Mean tabulations which include a selected Level 5 Sequential Over Time (L5SOT) statistic. RTRAMeanL5SOT is a wrapper macro. It calls the macro ProcessRequest which is the processing routine common to all RTRA procedure macros. To generate a mean, call the following RTRA procedure:

%RTRAMeanL5SOT(
InputDataset=,
OutputName=,
ClassVarList=,
AnalysisVarList=,
L5Stat=,
L5YrVar=,
L5MonVar=,
L5QtrVar=,
UserWeight=);

2. %RTRAMeanL5SOT parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name of the output files corresponding to this call to RTRAMeanL5SOT. Tabulated results are assigned an internally generated name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generated name and the final output file names. Post-processing is then responsible for creating the final output files name.

ClassVarList = identify a maximum of five variables for the dimensions of the mean procedure. These variables need to be delimited by spaces or asterisks. Each variable must contain more than one but no more than 500 unique values.

AnalysisVarList = identify a maximum of three variables for the mean procedure. These variables must be of type numeric. A maximum of three variables can be specified and must be separated by spaces.

L5Stat = identifies the name of the Level 5 statistic. Valid values are LC, PC and ST (case insensitive).

L5YrVar= identifies the Level 5 year variable. If the L5MonVar or L5QtrVar are not used, this field should reference a variable that contains multiple years to demonstrate the "Sequential Over Time" factor.

L5MonVar = (optional) identifies the Level 5 month variable. Valid to omit this parameter or specify blank. If L5MonVar is specified then L5 QtrVar must be blank or omitted.

L5QtrVar = (optional) identifies the Level 5 quarter variable. Valid to omit this parameter or specify blank. If L5 QtrVar is specified then L5MonVar must be blank or omitted.

L5TimeInt= (optional) identifies the Level 5 time interval. Value specified must be an integer greater than 0. Valid to omit this parameter but default integer must be 1.

UserWeight = Refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: This procedure can be used to calculate average dwelling types. Suppose you ran the following RTRA procedure to calculate the mean of a variable called "NUM_DWELCODE" for a table named "Table3". You would like to calculate this average for different education levels and by province using variables called "Education" and "Province".

%RTRAMeanL5SOT(
InputDataset=work.LFS,
OutputName=Table3,
ClassVarList=Education Province,
AnalysisVarList=NUM_DWELCODE,
L5Stat=LC,
L5YrVar=NUM_SYEAR,
L5MonVar=NUM_SMTH,
L5TimeInt=2,
UserWeight=FINALWT);

The following table displays results from the example procedure above. In particular we are able to determine the "Sequential Over Time" Mean change between months based on various Education levels. Please note that this is a section of the data in the documentation and a select few entries of the actual output have been pulled for the purpose of having smaller outputs. For this example we will only pull results for University responses.

Table 3
Results from example procedure
NUM_SYEAR NUM_SMTH Education NUM_DWELCODE Mean NUM_DWELCODE _MEAN_LCS NUM_DWELCODE Count
2015 January University 2.4   6717000
  February University 2.4   6725500
  March University 2.4 0.032 6731750
  April University 2.4 0.0132 6770750
  May University 2.4 -0.021 6796750
  June University 2.4 -0.027 6905750
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Frequency for RTRA

frequency-rtra.pdf (PDF, 221.42 KB)

Basic Frequency for RTRA

1. The RTRA frequency procedure provides counts of a discrete variable. For example, this procedure can be used to calculate the number of people in the population by different education levels and gender. To generate frequency tabulations, call the following RTRA procedure:

%RTRAFreq(
InputDataset=,
OutputName=,
ClassVarList=,
UserWeight=);

2. %RTRAFreq parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name of the output files you want returned (maximum of 20 characters and the first character must be a letter).

ClassVarList = identify a maximum of five variables to be included on the frequency table. These variables need to be delimited by spaces or asterisks. Each variable must contain more than one but no more than 500 unique values.

UserWeight = refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: Suppose you ran the following RTRA procedure to generate a frequency table named "Table1" with variables called "Education" and "Sex".

Your RTRA procedure call will look like this:

%RTRAFreq(
InputDataset=work.LFS,
OutputName=Table1,
ClassVarList=Education Sex,
UserWeight=Finalwt);
The following table displays results from the example procedure above.

Table 1
Results from example procedure
Education Sex Count
  Female 100
  Male 100
Above high school Female 60
Above high school Male 55
Below high school Female 40
Below high school Male 45
Note: Output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.

L5 Frequency for RTRA

1. This is the RTRA procedure macro for producing Frequency (sum of weight) tabulations which include a selected Level 5 statistic. RTRAFreqL5 is a wrapper macro. It calls the macro ProcessRequest which is the processing routine common to all RTRA procedure macros. For example, this procedure can be used to calculate the specific L5 (Level Change) between various Educations for individuals in each Province. To generate the year frequency tabulations, call the following RTRA procedure:

%RTRAFreqL5(
InputDataset=,
OutputName=,
ClassVarList=,
L5Stat=,
L5Type=,
L5ByVar=,
L5BaseVal=,
UserWeight=);

2. %RTRAFreqL5 parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName = identify the name given to the final output files corresponding to this call to RTRAFreqL5. Tabulated results are assigned an internally generated name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generated name and the final output file names. Post-processing is then responsible for creating the final output files name.

ClassVarList = identify a maximum of five variables to be included on the frequency table. Variables in the list can be separated by any number of spaces, asterisks or combination of spaces and asterisks.

L5Stat = identifies the name of the Level 5 statistic. Valid values are LC, PC and ST (case insensitive).

L5Type = identifies the Level 5 statistic type. Valid values are SEQUENTIAL, BASE and GLOBAL (case insensitive).

L5ByVar = identifies the Level 5 BY variable. The specified variable must exist in <classVarList>.

L5BaseVal = identifies the Level 5 base value. This parameter is only applicable if <L5Type> is BASE and must be blank if <L5Type> is SEQUENTIAL or GLOBAL. If applicable, the specified value must exist in the variable <L5ByVar> in the input data set.

UserWeight = the survey weight variable (and bootstrap weight variables if they exist) is located in a weights data set in the RTRA data library. The name of the weights data set is the same as the name of the survey weight variable that it contains.

3. Example: Suppose you ran the following RTRA procedure to generate an L5 frequency table named "Table2" with variables called "Education" and "Province" using the L5YrVar.

Your RTRA procedure call will look like this:

%RTRAFreqL5(
InputDataset=work.LFS,
OutputName=Table2,
ClassVarList=province education,
L5Stat=LC,
L5Type=global,
L5ByVar=province,
L5BaseVal=,
UserWeight=FINALWT);

The following table displays results from the Level 5 Frequency example procedure above. Please note that this is a section of the data in the documentation and a select few entries of the actual output have been pulled for the purpose of having smaller outputs.

Table 2
Results from example procedure
EDUCATION PROVINCE _COUNT_ COUNT_LCG
College Manitoba 3321500 -108137000
College Ontario 40167000 -71291500
College Other 67970000 -43488500
High School Manitoba 3702250 -92634500
High School Ontario 38880000 -57456750
High School Other 53754500 -42582250
University Manitoba 2531750 -81162500
University Ontario 36012500 -47681750
University Other 45150000 -38544250
Note: Output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.

L5SOT Frequency for RTRA

1. This is the RTRA procedure macro for producing Frequency (sum of weight) tabulations which include a selected Level 5 Sequential Over Time (L5SOT) statistic. RTRAFreqL5SOT is a wrapper macro. It calls the macro ProcessRequest which is the processing routine common to all RTRA procedure macros. For example, this procedure can be used to calculate the specific L5 (Level Change) between various Educations for individuals in each Province. To generate the year frequency tabulations, call the following RTRA procedure:

%RTRAFreqL5SOT(
InputDataset=,
OutputName=,
ClassVarList=,
L5Stat=,
L5YrVar=,
L5MonVar=,
L5QtrVar=,
L5TimeInt=,
UserWeight=);

2. %RTRAFreqL5SOT parameter definition:

InputDataset = identify the input data set from the WORK area to be used by the procedure.

OutputName= identify the name of the output files corresponding to this call to RTRAFreqL5SOT. Tabulated results are assigned an internally generated name rather than the name in this parameter. The post-processing parameters data set defines the correspondence between the internally generated name and the final output file names. Post-processing is then responsible for creating the final output files name.

ClassVarList= identify a maximum of five variables to be included on the frequency table. Variables in the list can be separated by any number of spaces, asterisks or combination of spaces and asterisks.

L5Stat = identifies the name of the Level 5 statistic. Valid values are LC, PC and ST (case insensitive).

L5YrVar= identifies the Level 5 year variable. If the L5MonVar or L5QtrVar are not used, this field should reference a variable that contains multiple years to demonstrate the "Sequential Over Time" factor.

L5MonVar = (optional) identifies the Level 5 month variable. Valid to omit this parameter or specify blank. If L5MonVar is specified then L5QtrVar must be blank or omitted.

L5QtrVar = (optional) identifies the Level 5 quarter variable. Valid to omit this parameter or specify blank. If L5 QtrVar is specified then L5MonVar must be blank or omitted.

L5TimeInt= (optional) identifies the Level 5 time interval. Value specified must be an integer greater than 0. Valid to omit this parameter but default integer must be 1.

UserWeight= Refer to the RTRA parameters document to identify a survey weight. The weight variable identified will be merged onto the input data set using the ID variable.

3. Example: Suppose you ran the following RTRA procedure to generate an L5 frequency table named "Table3" with variables called "Education" and "Province" using the L5YrVar.

Your RTRA procedure call will look like this:

%RTRAFreqL5SOT(
InputDataset=work.LFS,
OutputName=Table3,
ClassVarList=Province Education,
L5Stat=LC,
L5YrVar=NUM_SYEAR,
L5MonVar=NUM_SMTH,
L5TimeInt=1,
UserWeight=FINALWT);

The following table displays results from the example procedure above. In particular we are able to determine the "Sequential Over Time" frequency change between months based on various Provinces and Education levels. Please note that this is a section of the data in the documentation and a select few entries of the actual output have been pulled for the purpose of having smaller outputs.

Table 3
Results from example procedure
NUM_SYEAR NUM_SMTH EDUCATION PROVINCE _COUNT_ COUNT_LCS
2015 January College Manitoba 275000  
  February College Manitoba 270500 -4500
  March High School Ontario 3339750  
  April High School Ontario 3316500 -23250
  May University Other 3680500  
  June University Other 3714750 34250
Note: Output for surveys with bootstrap weights will have additional information on precision measures i.e. quality indicators, standard errors, confidence intervals, etc.
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Variables and definitions

data steps
A sequence of procedures in SAS
keep
SAS procedure specifies the variables to process
libname
Associates or disassociates a SAS data library with a libref
proc freq
A SAS procedure that produces one-way to n-way frequency
proc sort
SAS procedure that orders SAS data set observations by the values of one or more character or numeric variables
SAS libref
SAS procedure that Verifies that a libref has been assigned
Tag Name
Unique name given to each survey
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Why are we conducting this survey?

This survey is conducted by Statistics Canada in order to collect the necessary information to support the Integrated Business Statistics Program (IBSP). This program combines various survey and administrative data to develop comprehensive measures of the Canadian economy.

The purpose of this survey is to obtain information on the volume of refined petroleum products distributed by secondary distributors in Canada. It supplements energy consumption data collected from the refineries in the Annual Survey of End Use of Refined Petroleum Products.

Your information may also be used by Statistics Canada for other statistical and research purposes.

Your participation in this survey is required under the authority of the Statistics Act.

Other important information

Authorization to collect this information

Data are collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.

Confidentiality

By law, Statistics Canada is prohibited from releasing any information it collects that could identify any person, business, or organization, unless consent has been given by the respondent, or as permitted by the Statistics Act. Statistics Canada will use the information from this survey for statistical purposes only.

Record linkages

To enhance the data from this survey and to reduce the reporting burden, Statistics Canada may combine the acquired data with information from other surveys or from administrative sources.

Data-sharing agreements

To reduce respondent burden, Statistics Canada has entered into data-sharing agreements with provincial and territorial statistical agencies and other government organizations, which have agreed to keep the data confidential and use them only for statistical purposes. Statistics Canada will only share data from this survey with those organizations that have demonstrated a requirement to use the data.

Section 11 of the Statistics Act provides for the sharing of information with provincial and territorial statistical agencies that meet certain conditions. These agencies must have the legislative authority to collect the same information, on a mandatory basis, and the legislation must provide substantially the same provisions for confidentiality and penalties for disclosure of confidential information as the Statistics Act. Because these agencies have the legal authority to compel businesses to provide the same information, consent is not requested and businesses may not object to the sharing of the data.

For this survey, there are Section 11 agreements with the provincial and territorial statistical agencies of Newfoundland and Labrador, Nova Scotia, New Brunswick, Québec, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia and the Yukon. The shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory. Section 12 of the Statistics Act provides for the sharing of information with federal, provincial or territorial government organizations.

Under Section 12, you may refuse to share your information with any of these organizations by writing a letter of objection to the Chief Statistician, specifying the organizations with which you do not want Statistics Canada to share your data and mailing it to the following address:

Chief Statistician of Canada
Statistics Canada
Attention of Director, Enterprise Statistics Division
150 Tunney's Pasture Driveway
Ottawa, Ontario
K1A 0T6

You may also contact us by email at Statistics Canada Help Desk or by fax at 613-951-6583.

For this survey, there are Section 12 agreements with the statistical agencies of Prince Edward Island, the Northwest Territories and Nunavut as well as with the Newfoundland and Labrador Department of Natural Resources, New Brunswick Department of Environment and Local Government, the ministère des Finances du Québec, the ministère de l'Environnement et de la Lutte contre les changements climatiques du Québec, the ministère de l'Énergie et des Ressources naturelles du Québec, Transition énergétique Québec, the Manitoba Department of Mineral Resources, the British Columbia Ministry of Energy and Mines, the British Columbia Ministry of Natural Gas Development, Canada Energy Regulator, Natural Resources Canada and Environment and Climate Change Canada.

For agreements with provincial and territorial government organizations, the shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.

Business or organization and contact information

1. Verify or provide the business or organization's legal and operating name and correct where needed.

Note: Legal name modifications should only be done to correct a spelling error or typo.

Note: Press the help button (?) for additional information.

Legal Name
The legal name is one recognized by law, thus it is the name liable for pursuit or for debts incurred by the business or organization. In the case of a corporation, it is the legal name as fixed by its charter or the statute by which the corporation was created.

Modifications to the legal name should only be done to correct a spelling error or typo.

To indicate a legal name of another legal entity you should instead indicate it in question 3 by selecting 'Not currently operational' and then choosing the applicable reason and providing the legal name of this other entity along with any other requested information.

Operating Name
The operating name is a name the business or organization is commonly known as if different from its legal name. The operating name is synonymous with trade name.

Legal name

Operating name (if applicable)

2. Verify or provide the contact information of the designated business or organization contact person for this questionnaire and correct where needed.

Note: The designated contact person is the person who should receive this questionnaire. The designated contact person may not always be the one who actually completes the questionnaire.

  • First name
  • Last name
  • Title
  • Preferred language of communication
    • English
    • French
  • Mailing address (number and street)
  • City
  • Province, territory or state
  • Postal code or ZIP code
  • Country
    • Canada
    • United States
  • Email address
  • Telephone number (including area code)
  • Extension number (if applicable)
  • The maximum number of characters is 10.
  • Fax number (including area code)

3. Verify or provide the current operational status of the business or organization identified by the legal and operating name above.

  • Operational
  • Not currently operational

Why is this business or organization not currently operational?

  • Seasonal operations
  • Ceased operations
  • Sold operations
  • Amalgamated with other businesses or organizations
  • Temporarily inactive but will re-open
  • No longer operating due to other reasons

When did this business or organization close for the season?
Date

When does this business or organization expect to resume operations?
Date

When did this business or organization cease operations?
Date

Why did this business or organization cease operations?

  • Bankruptcy
  • Liquidation
  • Dissolution
  • Other

Specify the other reasons why the operations ceased

When was this business or organization sold?
Date

What is the legal name of the buyer?

When did this business or organization amalgamate?
Date

What is the legal name of the resulting or continuing business or organization?

What are the legal names of the other amalgamated businesses or organizations?

When did this business or organization become temporarily inactive?
Date

When does this business or organization expect to resume operations?
Date

Why is this business or organization temporarily inactive?

When did this business or organization cease operations?
Date

Why did this business or organization cease operations?

4. Verify or provide the current main activity of the business or organization identified by the legal and operating name above.

Note: The described activity was assigned using the North American Industry Classification System (NAICS).

Note: Press the help button (?) for additional information, including a detailed description of this activity complete with example activities and any applicable exclusions.

This question verifies the business or organization's current main activity as classified by the North American Industry Classification System (NAICS). The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, Mexico and the United States. Created against the background of the North American Free Trade Agreement, it is designed to provide common definitions of the industrial structure of the three countries and a common statistical framework to facilitate the analysis of the three economies. NAICS is based on supply-side or production-oriented principles, to ensure that industrial data, classified to NAICS, are suitable for the analysis of production-related issues such as industrial performance.

The target entity for which NAICS is designed are businesses and other organizations engaged in the production of goods and services. They include farms, incorporated and unincorporated businesses and government business enterprises. They also include government institutions and agencies engaged in the production of marketed and non-marketed services, as well as organizations such as professional associations and unions and charitable or non-profit organizations and the employees of households.

The associated NAICS should reflect those activities conducted by the business or organizational units targeted by this questionnaire only, as identified in the 'Answering this questionnaire' section and which can be identified by the specified legal and operating name. The main activity is the activity which most defines the targeted business or organization's main purpose or reason for existence. For a business or organization that is for-profit, it is normally the activity that generates the majority of the revenue for the entity.

The NAICS classification contains a limited number of activity classifications; the associated classification might be applicable for this business or organization even if it is not exactly how you would describe this business or organization's main activity.

Please note that any modifications to the main activity through your response to this question might not necessarily be reflected prior to the transmitting of subsequent questionnaires and as a result they may not contain this updated information.

The following is the detailed description including any applicable examples or exclusions for the classification currently associated with this business or organization.

Description and examples

  • This is the current main activity
  • This is not the current main activity

Provide a brief but precise description of this business or organization's main activity

e.g., breakfast cereal manufacturing, shoe store, software development

Main activity

5. You indicated that is not the current main activity.

Was this business or organization's main activity ever classified as: ?

  • Yes
  • No

When did the main activity change?
Date

6. Search and select the industry classification code that best corresponds to this business or organization's main activity.

How to search:

  • if desired, you can filter the search results by first selecting this business or organization's activity sector
  • enter keywords or a brief description that best describes this business or organization main activity
  • press the Search button to search the database for an activity that best matches the keywords or description you provided
  • then select an activity from the list.

Select this business or organization's activity sector (optional)

  • Farming or logging operation
  • Construction company or general contractor
  • Manufacturer
  • Wholesaler
  • Retailer
  • Provider of passenger or freight transportation
  • Provider of investment, savings or insurance products
  • Real estate agency, real estate brokerage or leasing company
  • Provider of professional, scientific or technical services
  • Provider of health care or social services
  • Restaurant, bar, hotel, motel or other lodging establishment
  • Other sector

Enter keywords or a brief description, then press the Search button

7. You have indicated that the current main activity of this business or organization is:

Main activity

Are there any other activities that contribute significantly (at least 10%) to this business or organization's revenue?

  • Yes, there are other activities
  • No, that is the only significant activity

Provide a brief but precise description of this business or organization's secondary activity

e.g., breakfast cereal manufacturing, shoe store, software development

8. Approximately what percentage of this business or organization's revenue is generated by each of the following activities?

When precise figures are not available, provide your best estimates.

  Percentage of revenue
Main activity  
Secondary activity  
All other activities  
Total percentage  

Products sold

1. In 2020 , which of the following refined petroleum products were sold or distributed by this business?

Select all that apply.

Propane

i.e., all propane types including those extracted from natural gas or refinery gas steams

Motor gasoline

i.e., all gasoline-type fuels for internal combustion engines other than aircraft; this includes any ethanol/methanol and other similar additives blended

Diesel fuel oil

i.e., all grades of distillate fuel used for diesel engines (dyed/marked or clear); this includes any biodiesel blended with fuel

Light fuel oil

i.e., all distillate type fuels used for power burners

Include fuel oil number 1, fuel oil number 2, fuel oil number 3, stove oil, furnace fuel oil, gas oils and light industrial fuel; this includes any biofuel blended.

Residual and heavy fuel oil

i.e., all grades of residual type fuels including low sulphur used for steam and electric power generation and steam and diesel motors installed on large marine vessels

Include fuel oil numbers 4, 5 and 6. Sometimes referred to as bunker fuel B or C.

Business's own use

2. How many litres of refined petroleum products did this business consume for its own use?

Report all amounts of refined petroleum products purchased that were used in company operations (that is used for your vehicles or heating).

Total number of litres used for own consumption

Litres

Sales by type of customer

3. To which types of customers did this business sell?

Select all that apply.

  • Residential
  • Wholesalers and dealers of refined petroleum products
  • Retail pump sales
  • Transportation
  • Railways
  • Road transport and urban transit
  • Canadian marine
  • Foreign marine
  • Manufacturing
  • Food, beverage, tobacco manufacturing
  • Pulp and paper manufacturing
  • Iron and steel manufacturing
  • Aluminum and non-ferrous metals manufacturing
  • Cement manufacturing
  • Refined petroleum products manufacturing
  • Chemical manufacturing
  • All other manufacturing
  • Mining and oil and gas extraction
  • Iron mines
  • Oil and gas extraction
  • Other mining
  • Other customer types
  • Forestry, logging, and support activities
  • Agriculture, fishing, hunting and trapping
  • Construction
  • Public administration
  • Electric power generation and distribution
  • Commercial and other institutional

Sales by location

4. In which of the following provinces and territories did this business sell?

Select all that apply.

  • Newfoundland and Labrador
  • Prince Edward Island
  • Nova Scotia
  • New Brunswick
  • Quebec
  • Ontario
  • Manitoba
  • Saskatchewan
  • Alberta
  • British Columbia
  • Yukon
  • Northwest Territories
  • Nunavut

Sales in Newfoundland and Labrador

5. How many litres of refined petroleum products were sold to the following types of customers in Newfoundland and Labrador?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in Newfoundland and Labrador  

Sales in Prince Edward Island

6. How many litres of refined petroleum products were sold to the following types of customers in Prince Edward Island?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in Prince Edward Island  

Sales in Nova Scotia

7. How many litres of refined petroleum products were sold to the following types of customers in Nova Scotia?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in Nova Scotia  

Sales in New Brunswick

8. How many litres of refined petroleum products were sold to the following types of customers in New Brunswick?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in New Brunswick  

Sales in Quebec

9. How many litres of refined petroleum products were sold to the following types of customers in Quebec?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in Quebec  

Sales in Ontario

10. How many litres of refined petroleum products were sold to the following types of customers in Ontario?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in Ontario  

Sales in Manitoba

11. How many litres of refined petroleum products were sold to the following types of customers in Manitoba?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in Manitoba  

Sales in Saskatchewan

12. How many litres of refined petroleum products were sold to the following types of customers in Saskatchewan?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in Saskatchewan  

Sales in Alberta

13. How many litres of refined petroleum products were sold to the following types of customers in Alberta?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in Alberta  

Sales in British Columbia

14. How many litres of refined petroleum products were sold to the following types of customers in British Columbia?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in British Columbia  

Sales in Yukon

15. How many litres of refined petroleum products were sold to the following types of customers in Yukon?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in Yukon  

Sales in Northwest Territories

16. How many litres of refined petroleum products were sold to the following types of customers in Northwest Territories?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in Northwest Territories  

Sales in Nunavut

17. How many litres of refined petroleum products were sold to the following types of customers in Nunavut?

  Litres
Residential  
Wholesalers and dealers of refined petroleum products  
Retail pump sales  
Railways  
Road transport and urban transit  
Canadian marine  
Foreign marine  
Food, beverage, tobacco manufacturing  
Pulp and paper manufacturing  
Iron and steel manufacturing  
Aluminum and non-ferrous metals manufacturing  
Cement manufacturing  
Refined petroleum products manufacturing  
Chemical manufacturing  
All other manufacturing  
Iron mines  
Oil and gas extraction  
Other mining  
Forestry, logging, and support activities  
Agriculture, fishing, hunting and trapping  
Construction  
Public administration  
Electric power generation and distribution  
Commercial and other institutional  
Total litres of sold in Nunavut  

Summary of sold by province and territory

18. This is a summary of refined petroleum products sold by province and territory.

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  Total Number of Litres
Summary by Province  
Newfoundland and Labrador  
Prince Edward Island  
Nova Scotia  
New Brunswick  
Quebec  
Ontario  
Manitoba  
Saskatchewan  
Alberta  
British Columbia  
Yukon  
Northwest Territories  
Nunavut  
Total litres of sold  

Changes or events

1. Indicate any changes or events that affected the reported values for this business or organization, compared with the last reporting period.

Select all that apply.

  • Strike or lock-out
  • Exchange rate impact
  • Price changes in goods or services sold
  • Contracting out
  • Organizational change
  • Price changes in labour or raw materials
  • Natural disaster
  • Recession
  • Change in product line
  • Sold business or business units
  • Expansion
  • New or lost contract
  • Plant closures
  • Acquisition of business or business units
  • Other
    Specify the other changes or events:
  • No changes or events

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