Privacy Impact Assessment – Census Chatbot

Contents

Section 1: Overview

Responsible department: Statistics Canada

Chief Privacy Officer: Director, Office of Privacy Management and Information Coordination
Subject-matter manager: Director, Census Communications
Senior official: Assistant Chief Statistician, Corporate Strategy and Management
Legal authority: Financial Administration Act
Reference to Personal Information Bank (PIB): Standard PIB – Public Communications, PRN 939, PSU 914

Project Description:

To improve respondent services, Statistics Canada is introducing a chatbot on its Census website as a new communications method. This automated communication and service channel aims to help Census respondents anonymously submit questions and obtain more timely responses in a positive and secure online experience. This technology will improve services and assist respondents in their questionnaire needs, in addition to creating a positive and secure online experience.

While Statistics Canada already provides a Contact us formFootnote 1 where users can submit questions, the chatbot will automatically provide answers instead of waiting the general 5 to 10 business days to receive a response.

The chatbot will be of particular value when Statistics Canada conducts census activities. During the 2021 Census collection cycle, the Census Help Line (CHL) received over 2 million calls. This unprecedented volume led to 1.2M not being answered due to limited resources. Equally, Statistics Canada's Respondent Relations Unit received 63,000 emails and 7,000 pieces of mail, five times the amount received in the previous census, and the social media (Web2Social) team received numerous complaints regarding the lack of immediate response, long phone queues, or dropped calls.

The chatbot does not collect any personal information and a privacy notice (see Appendix 2) statement will be provided to users at the beginning of the chat session instructing them not to share any personal information and advising users who nevertheless include PI, that it will be manually removed from chatbot transcripts. The chatbot will use Artificial Intelligence (AI) to detect keywords to answer a user's question. If a user requires further assistance, the chatbot will transfer the conversation to a live chat agent. The chatbot was initially trained on extracted content from 2021 Census Questions and Answers (e.g., What is a census letter? Where can I find my secure access code?) and will keep training on new content that will be added as needed. As the chatbot does not make any administrative decisions on individuals, an Algorithmic Impact Assessment is not required.Footnote 2

The chatbot software and licenses have been acquired by Statistics Canada from a service provider. It has been integrated into Statistics Canada's website structure in a development environment prior to being moved to its production environment on January 15, 2024. A full security assessment was completed on January 9, 2024, with a risk management input (RMI) assessed as very low.

Section 2: Risk Area Identification and Categorization

The following table below evaluates the aggregate risk of the proposed initiative against a suit of standard dimensions applicable to most Statistics Canada's programs and activities. The numbered risk scale is presented in ascending order: level 1 represents the lowest level of potential risk for the risk dimension the fourth level (4) represents the highest level of potential risk for the given risk dimension.

Applicable risk level for each dimension is in BOLD.

a) Type of program or activity Risk scale
Program or activity that does NOT involve a decision about an identifiable individual 1
Administration of program or activity and services 2
Compliance or regulatory investigations and enforcement 3
Criminal investigation and enforcement or national security 4
b) Type of personal information involved and context Risk scale
Only personal information, with no contextual sensitivities, collected directly from the individual or provided with the consent of the individual for disclosure under an authorized program. 1
Personal information, with no contextual sensitivities after the time of collection, provided by the individual with consent to also use personal information held by another source. 2
Social Insurance Number, medical, financial or other sensitive personal information or the context surrounding the personal information is sensitive. Personal information of minors, legally incompetent individuals or a representative acting on behalf of the individual. 3
Sensitive personal information, including detailed profiles, allegations or suspicions and bodily samples, or the context surrounding the personal information is particularly sensitive. 4
c) Program or activity partners and private sector involvement Risk scale
Within the institution (among one or more programs within the same institution) 1
With other government institutions 2
With other institutions or a combination of federal, provincial or territorial, and municipal governments 3
With foreign governments, international organizations and/or private sector organizations 4
d) Duration of the program or activity Risk scale
One-time program or activity 1
Short-term program (January 16, 2024 to June 28, 2024 for Behavioral Testing and from January 2026 to August 2026 for the 2026 Census of Population collection period). 2
Long-term program (long-term date / ongoing / no end date) 3
e) Program population* Risk scale
The program's use of personal information for internal administrative purposes affects certain employees. 1
The program's use of personal information for internal administrative purposes affects all employees. 2
he program's use of personal information for external administrative purposes affects certain individuals. 3
The program's use of personal information for external administrative purposes affects all individuals for external administrative purposes. 4
* The program's use of personal information is not for administrative purposes. Information is collected for statistical purposes, under the authority of the Statistics Act. N/A
f) Personal information transmission Risk scale
The personal information is used within a closed system (i.e., no connections to the Internet, Intranet or any other system and the circulation of hardcopy documents is controlled). 1
The personal information is used in a system that has connections to at least one other system. 2
The personal information is transferred to portable devices or printed (USB key, diskette, laptop computer), transferred to a different medium or is printed. 3
The personal information is transmitted using wireless technologies. 4
g) Technology and privacy

Does the new or substantially modified program or activity involve implementation of a new electronic system or the use of a new application or software, including collaborative software (or groupware), to support the program or activity in terms of the creation, collection or handling of personal information?

Yes. Power Microsoft Agent (chatbot) from Microsoft Dynamics is being implemented to facilitate a new communication method via chatbot to improve Statistic Canada's services and promote direct communication with data users and survey respondents.

Does the new or significantly modified activity or program require changes to IT legacy systems?

Yes. Integrating Power Microsoft Agent (chatbot) from Microsoft Dynamics code into the website will require changes to our IT systems to enable integration of the code in the infrastructure.

Specific technological issues and privacy
Does the new or substantially modified program or activity involve implementation of one or more of the following technologies:

  • enhanced identification methods (e.g., biometric technology)
  • surveillance
  • automated personal information analysis, personal information comparison and knowledge discovery techniques

No.

h) Potential risk that in the event of a privacy breach, there will be an impact on the individual or employee
Users will be advised to not provide any personal information when a chat session is opened. If provided, it will not be used and will be destroyed after three months. Therefore, the risk of some personal information being disclosed without proper authorization is very low, and the impact on the individual would be low.
i) Potential risk that in the event of a privacy breach, there will be an impact on the institution.
Users will be advised to not provide any personal information. If provided, it will not be used and will be destroyed after three months. Therefore, the risk of certain personal information being disclosed without proper authorization is very low, and the impact on the institution would be low.

Section 3: Analysis of the personal information elements for the program or activity

A privacy notice will inform users to not provide personal information when the chat starts. However, users might still provide personal information voluntarily. Such information could be anonymously retained by Statistics Canada for a three-month period in the form of transcripts for the purpose of assessing quality of the service and to meet user needs.

If users voluntarily share personal information despite the privacy notice, deemed employees from Respondent Relations will manually remove personal information from the transcript before being saved on Statistics Canada servers.

Necessity and Proportionality

While the chatbot is not intended to collect or use personal information and users are advised not to include any, some personal information could inadvertently be provided. The implementation of the chatbot can be justified against Statistics Canada's Necessity and Proportionality Framework:

  1. Necessity: The chatbot will be a new communications method introduced on Statistics Canada website to improve respondent services by providing automated communication and service channels that will increase the agency's Census Program's efficiency by reducing the number of correspondence pieces to be treated by Statistics Canada employees. These improvements will also benefit Canadians by creating a positive, secure online experience and assist respondents in their 2026 Census of Population questionnaire needs.
  2. Effectiveness - Working assumptions: The chatbot will allow live agents to focus on answering more complex questions in a timely manner and improve service standards. Moreover, the chatbot will help users fulfill their legal census obligation more quickly by submitting a question anonymously to the chatbot. Then, the chatbot will detect keywords and propose answers to users without using any personal information. The chatbot will create efficiency for Canadians and the agency.
  3. Proportionality: While there is a potential for the agency to collect personal information, the benefits of having quick and efficient access to information to help Canadians complete the Census are highly valuable proportional to any privacy risks. The chatbot aims to improve and supplement the existing services provided to Canadians by creating a positive, secure online experience and assist respondents in their 2026 Census of Population questionnaire needs.
  4. Alternatives: Unfortunately, there are no alternatives to automated services such as a chatbot. The method used in the past resulted in a high number of incoming calls and emails for the 2021 Census collection cycle to the CHL and Respondent Relations Unit of many of which were left unanswered due to lack of resources and unprecedented volumes. The chatbot will enable automation of Census program's services and efficiently provide answers to Canadian users. In the event the chatbot is not able to provide users with the information they need to fulfill their obligation towards the Census program, their request will be transferred to our Live Chat (CHL) to provide them with further assistance. Requests that require research or a personalized answer, such as complaints, will be transferred to a Respondent Relations agent that will work on a personalized response.

Section 4: Flow of personal information for the program or activity

Identify the source(s) of the personal information collected and/or how the personal information will be created.

When a user opens a chat session, they will be presented with a privacy notice statement and informed not to share any personal information before being prompted to ask a question. Once the question is submitted in the conversation window, the chatbot will analyze keywords to find a suitable answer to the user's question. Although users are advised to not provide any identifying personal information, they could voluntarily provide some.

Identify the internal and external uses and disclosures. Specifically, identify the areas, groups and individuals who will have access to or handle the personal information and to whom it will be provided or disclosed.

Information that users may voluntarily provide will not be used or disclosed, either internally or externally. Only deemed employees from Respondent Relations, Census Help Line (CHL) and the social media (Web2Social) are viewing and handling the data.

Identify where the personal information will transit and will be stored or retained.

During a chatbot session, any personal information that may be provided voluntarily by the user will transit through Statistics Canada's Microsoft Dynamics portal. The exchange will then be manually striped of any personal information and be stored on Statistics Canada's Cloud for a three-month period for the purpose of assessing quality of the service and to meet user needs.

Identify where areas, groups and individuals can access the personal information

When a chatbot user is redirected to a live chat CHL, Respondent Relations, Web2Social or recruitment agent, the agent in question and their supervisor will have access to that information.

During the three-month storage period, only supervisors and managers (four to six people) who need to consult the information for evaluation purposes will have access to the data.

Section 5: Privacy compliance analysis

As recommended by the Office of the Privacy Commissioner's Guide to the Privacy Impact Assessment Process, this chatbot has been assessed against the following principles that are based on the Organization for Economic Co-operation and Development's (OECD) Guidelines on the Protection of Privacy and Transborder Flows of Personal Data.

Principle 1: Accountability

Statistics Canada is responsible for all personal confidential information collected and used under authority of the Financial Administration Act. The agency is also responsible for all personal information under its control and has designated individuals who are accountable for the agency's compliance with the obligations of federal departments to respect privacy rights as described in sections 4 to 8 of the Privacy Act.

The Director of the Office of Privacy Management and Information Coordination is Statistics Canada's Chief Privacy Officer (CPO) and is accountable for the department's compliance with the principles contained in this document. The CPO is also responsible for the development of Statistics Canada's policies related to information, including all aspects of information classification, control, and access and for providing advice, guidance, and assistance in the implementation of information security measures.

The Chief Security Officer (CSO) is responsible for the day-to-day operations of the Departmental Security Office, and for the development and administration of the security program for Statistics Canada.

The Respondent Relations, CHL and Web2Social teams and its managers, as directed by the Census Communications Director (Communications Branch), are responsible for applying all central agency and Statistics Canada policies related to the protection of privacy and personal information for this activity.

The Communications and Dissemination Branch is responsible for the entire Statistics Canada website.

An individual can address a challenge concerning compliance by Statistics Canada with the above principles.

Complaints may be addressed to:

Chief Privacy Officer
Statistics Canada
R.H. Coats Building, 2nd floor
100 Tunney's Pasture Driveway
Ottawa, Ontario K1A 0T6
Telephone: 613-951-0466
E-mail: statcan.atip-aiprp.statcan@statcan.gc.ca

In addition, under the Privacy Act, individuals may make a complaint to the Office of the Privacy Commissioner of Canada, who will undertake an investigation.

Principle 2: Limiting Collection

The authority to collect this information falls under the Financial Administration Act. Personal information will be not collected, but any that might be voluntarily provided by users will be protected under the Privacy Act. That information is included in the "Public Communications" Personal Information Bank.

The chatbot does not require the collection of personal information to provide is service to Canadians. As mentioned in previous section, users might voluntarily share personal information even if they have been informed not to at the beginning of the chat session.

Principle 3: Direct Collection and Purpose Identification

The purpose of the chatbot is to provide Canadians with a service that will increase Statistic Canada's Census Program's efficiency by helping respondents fulfill their legal census obligation more quickly and efficiently by anonymously submitting a question to the chatbot.

No personal information is asked or required from users to use the chatbot. Statistics Canada will not disclose personal information that might be provided by chatbot users. A privacy notice statement (Appendix 2) will be given to users instructing them to not share personal information when the chat session starts.

The conversation history will be used to improve Statistics Canada's services and to make information about the Census more accessible to the Canadian population. The data is used only by those individuals with a need-to-know including Respondent Relations, Social Media and recruitment agents and their supervisors to ensure the quality of the service provided and to meet user needs.

Consent will not be asked for because no personal information is collected, used or disclosed. Any personal information that might be voluntarily provided by a user will not be used, and the personal information will be manually removed from the conversation transcripts. Such transcripts will only be retained by Statistics Canada for a three-month period.

Principle 4: Retention

Personal information inputted by respondents will not be retained since the nature of the chatbot does not require the use of such information to provide users with an answer to their posed question. If users voluntarily include personal information, the information will be manually deleted from the conversation transcripts. These redacted transcripts will then be retained by Statistics Canada for a three-month period to improve services and to make information about the Census more accessible to the Canadian population.

Additionally, the Power Virtual Agent system (by Microsoft) will keep the conversation transcripts for a period of 28 days after which it will automatically be deleted. Microsoft has confirmed that it does not use the information to train, retrain, or improve their models.

Principle 5: Accuracy

Participants submit their own information electronically. Statistics Canada will not modify any of the submitted information, so inaccuracies should not occur. However, any errors that are brought to the attention of Statistics Canada by participants will be rectified immediately. If the chatbot provides the wrong answers based on faulty users' information, the chatbot will prompt the user to reformulate or specify his concerns in order to provide the proper information.

Statistics Canada will not alter any information that may be voluntarily submitted by users, and that information will be retained only for three months. Because that information is not required and will not be used or disclosed, its accuracy in the context of this activity is irrelevant.

Principle 6: Disposal

Voluntarily shared personal information will be in digital format. Disposal of such information will be done directly from the chatbot system.

Technology and privacy issues

  • There will be no change to the business requirements. The same principles and guidelines applicable to email communication via Respondent Relations, the existing communication service, will be applied to chatbot.
  • The existing communication tools, as well as the addition of chatbot, comply with privacy obligations.
  • A privacy notice before using chatbot will notify users that their information will remain protected under the Privacy Act.

Principle 7: Limiting use

The information will be used to improve Statistics Canada's services and to make data more accessible to the Canadian population. The information is used only by Respondent Relations and Social Media agents and their supervisors to ensure the quality of the service provided and to meet user needs. However, the use of personal information is not required for the chatbot to operate.

Once the chatbot is launched, an automated message will appear to inform users not to share personal information.

Principle 8: Limiting Disclosure

Statistics Canada will not disclose personal information from the chatbot, without the consent of the respondent or unless as permitted by the Statistics Act. Access to any information obtained under the authority of the Statistics Act is restricted to employees who must swear an oath of confidentiality under the Act and who also have a need-to-know as part of their job duties.

Principle 9: Safeguards

Statistics Canada takes seriously its legal obligation to safeguard the personal information of all Canadians. The agency has had in place a framework of policies, directives, procedures and practices to safeguard protected information, including personal information, against loss, theft, unauthorized access or disclosure; they are supported by physical, organizational and technological measures that protect all the personal information that Statistics Canada holds.

Access will be restricted solely to Respondent Relations, CHL and Web2Social agents and supervisors located in the National Capital Region office. The information will be protected by existing mechanisms, such as the following:

  • When logging into a work session on the computer, agents and supervisors must enter their protected, confidential username and password.
  • Personal information voluntarily received from clients will pass through the site only to measure performance, productivity, and the quality of the service provided by Respondent Relations, CHL and Web2Social agents, and to answer users' questions. Briefly, the information will help measure accuracy of answers and it will allow us to remain at the dawn of new topics emerging to rehabilitate our content.
  • The information will be stored only on Statistics Canada's internal platform; the information will not be disseminated or printed.
  • Information passing over the Internet will be secured by HTTPS. It will then be stored on Statistics Canada's Cloud that meets the stronger IT security requirements. In addition, vulnerability analyses of the Census Chatbot have been conducted by Statistics Canada's Cyber Security Division. They completed a Security Assessment and Authorization (SA&A), and an interim Authority to Operate (iATO) was granted for a one-year period (Jan 2024-Jan 2025).
  • The software used contains an option to hide the IP address, and that option will be used to prevent the storage of IP addresses.

Upon discovery of an actual or suspected privacy breach (however unlikely), the steps described in Section 8 would be taken.

Principle 10: Openness

Statistics Canada produces specific, easily accessible information about its policies and practices on the management and protection of personal information. Information on the use of personal information, in the form of a Privacy notice, can be read on the agency's website at www.statcan.gc.ca.

Summaries of approved privacy impact assessments are also available from the website, under "About Statistics Canada – Privacy Impact Assessments"

Information on the Statistics Canada website related to policies and procedures

The agency's Privacy Notice can be found under "About us – Terms and conditions and Privacy" on the Statistics Canada website, where there is also information about:

  • the agency's Privacy Framework
  • protecting confidential information and privacy at Statistics Canada;
  • privacy-related policies and practices at Statistics Canada;
  • what record linkage is and how it is used at Statistics Canada;
  • Statistics Canada's Directive on Microdata Linkage;
  • approved linkages at Statistics Canada, with their purpose, description and output

Statistics Canada's Trust Center also provides answers to questions on the security, privacy and confidentiality of personal information.

Contacts for further information

For further information about NetSupport, the contact person is:
Program Manager of the Business Integration, Collection, Planning, and Research Division
Statistics Canada
150 Tunney's Pasture Driveway
Ottawa, Ontario K1A 0T6
Telephone: 902-220-9153
Email: Patrick.Ellis@statcan.gc.ca

Principle 11: Individual Access

The collection of personal information through the Census communications chatbot is described in the Personal Information Bank (Public Communications – PSU 914), which is published in Statistics Canada's Information about Programs and Information Holdings chapter.

Upon request, Statistics Canada will provide users with access to their personal information held by the agency.

If users wish to submit a formal request for access to their personal information under the Privacy Act, the contact person at Statistics Canada is:

Access to Information and Privacy Coordinator
Statistics Canada
R.H. Coats Building, 2nd floor
100 Tunney's Pasture Driveway
Ottawa, Ontario K1A 0T6
Telephone: 613-951-0466
E-mail: statcan.atip-aiprp.statcan@statcan.gc.ca

Section 6: Threat and risk assessment

The purpose of this section is to assess the consultation for potential threats and risks that could compromise privacy. It outlines Statistics Canada's existing safeguards, the probability of occurrence of the threat, and the severity of the impact as it relates to the privacy and protection of participants' information.

Statistics Canada currently uses numerous safeguards to reduce threat probabilities. These safeguards are described in agency policies, practices, tools and/or techniques.

The ratings for threat probability, impact and residual risk are defined and presented as follows

Threat: An undesirable event with the potential to compromise privacy or breach data confidentiality.

Threat probability: The likelihood that the threat will occur, given Statistics Canada's existing safeguards. The threat probability is rated numerically.

  • Level 1: The threat can only come about through the use of very specialized knowledge and/or costly specialized facilities and/or a sustained effort. The threat is unlikely to occur.
  • Level 2: The threat requires some specialized knowledge and/or facilities and/or a special endeavour to create or take advantage of the threat opportunity. The threat is somewhat likely to occur.
  • Level 3: The threat opportunity is widely available and can occur either intentionally or accidentally with little or no specialized knowledge and/or facilities. The threat is very likely to occur.

Impact: The effect on a participant's privacy in the event that a threat comes to fruition and their information is compromised. The level or degree of impact is expressed in terms of outcome severity as it relates to individual privacy.

  • Level 1: Minor injury with no or minimal harm or embarrassment to the individual.
  • Level 2: Moderate injury causing some harm or embarrassment to the individual, but with no direct negative effects.
  • Level 3: Severe injury such as lasting harm or embarrassment that will have direct negative effects on an individual's career, reputation, financial position, safety, health or well-being.

Residual risk: A numeric rating is given following an evaluation and comparison of the threat probability and the impact on privacy.

Threat and Risk Assessment Grid

Chatbot on Statistics Canada's website

While the Chatbot does not collect personal information and users are instructed not to include any personal information in the chat, the following addresses any risks should any personal information be inadvertently or voluntarily included and compromised before it gets manually removed by deemed Respondent Relations employees.

Threats Existing Statistics Canada
Safeguards
Probability Impact Residual Risk Assessment of Residual Risk
Environment: Risk associated with users' privacy – within Statistics Canada
Activity: access to chatbot
1. There is unauthorized access to NetSupport by a non-Statistics Canada employee. Access to the Cloud on which chatbot is hosted is restricted to a small number of Statistics Canada employees and deemed employees of Shared Services Canada who provide services to Statistics Canada. IT security measures include protection by firewall, configuration and access via Statistics Canada's internal network on local Network B. Access to the system requires a username and password reserved for authorized employees of the Respondent Relations, CHL and Web2Social teams. 1 1 1 Acceptable
2. There is unauthorized access to NetSupport by a Statistics Canada employee. IT security measures include access via Statistics Canada's internal network on local Network B. Access to the system requires a username and password reserved for authorized employees of the Respondent Relations, CHL and Web2Social teams. Also, employees are trained to lock their computers before leaving their offices. 1 1 1 Acceptable
3. There is unauthorized use or disclosure of personal information Employees have been made aware of the importance of protecting personal information and must comply with the Directive on Access to Information and Privacy. They have a legal obligation to comply with the legislative requirements of the Access to Information Act and the Privacy Act. If they fail to do comply, they are subject to the penalties set out in the legislation. Any employee who uses or discloses personal information in an unauthorized manner would receive additional training and may be subject to disciplinary follow-up. 1 1 1 Acceptable

Section 7: Summary of Analysis and Recommendations

A privacy impact assessment for the chatbot was conducted to determine if there were any privacy, confidentiality and security issues associated with the program, and if so, to make recommendations for their resolution or mitigation.

This document summarizes Statistics Canada's assessment of the privacy implications of the chatbot. It includes a review of the privacy principles as they apply to the program. Also included is an assessment of the risks to the privacy, confidentiality, and security of users' information.

This assessment did not identify any privacy risks that cannot be managed using existing safeguards.

Section 8: Breach protocol

The chatbot meets agency standards for both IT and physical security. It includes password protection for access to the database/tool, configuration and use of a firewall. For this reason, the threat and risk assessment (TRA) grid rates unauthorized access by either Statistics Canada employees or individuals outside Statistics Canada as low probability.

Upon discovery of an actual or suspected privacy breach (however unlikely), the following steps, in accordance with the Statistics Canada Information and Privacy Breach Protocol, would be taken:

  • Immediate notification of the Chief Security Officer and the Chief Privacy Officer. Response could include suspending operation of the chatbot activities.
  • In collaboration with Departmental Security and IT Security, there would be an internal investigation that would include recommendations to prevent any recurrence. Any investigation would document in detail the circumstances that gave rise to the privacy breach, and determine what information may have been breached, the impact of the breach, and what measures have been introduced to eliminate the risk of any subsequent breach.
  • In the case of a "material privacy breach", in accordance with the TBS Directive on Privacy Practices, Statistics Canada would notify the Office of the Privacy Commissioner (OPC) and the Treasury Board Secretariat (TBS). "Material breaches" are those involving sensitive personal information and that could reasonably be expected to cause serious injury or harm to the individual.
  • Depending on the nature of the breach, impacted individuals would be provided with an explanation of the situation and the steps being taken to remove the information from the possession of those not authorized to have it. Individuals would also be informed that they have the right to file a complaint with the Office of the Privacy Commissioner (OPC). The OPC and TBS would be informed of the individual(s) whose information was disclosed, the investigation and what actions have been taken to prevent a re-occurrence.

Section 9: Supplementary Documents List

Appendix 1 – PIA Summary
Appendix 2 – Privacy notice

Appendix 1 – PIA Summary

Census Chatbot
Privacy Impact Assessment Summary

Introduction

To improve respondent services, Statistics Canada is introducing a chatbot on its Census website as a new communications method. This automated communication and service channel aims to help Census respondents anonymously submit questions and obtain more timely responses in a positive and secure online experience. This technology will improve services and assist respondents in their questionnaire needs, in addition to creating a positive and secure online experience.

While Statistics Canada already provides a Contact us formFootnote 3 where users can submit questions, the chatbot will automatically provide answers instead of waiting the general 5 to 10 business days to receive a response.

Objective

A privacy impact assessment for Chatbot was conducted to determine if there were any privacy, confidentiality or security issues with this program and, if so, to make recommendations for their resolution or mitigation.

Description

The chatbot will be of particular value when Statistics Canada conducts census activities. During the 2021 Census collection cycle, the Census Help Line (CHL) received over 2 million calls. This unprecedented volume led to 1.2M not being answered due to limited resources. Equally, Statistics Canada's Respondent Relations Unit received 63,000 emails and 7,000 pieces of mail, five times the amount received in the previous census, and the social media (Web2Social) team received numerous complaints regarding the lack of immediate response, long phone queues, or dropped calls.

The chatbot does not collect any personal information and a privacy notice (see Appendix 2) statement will be provided to users at the beginning of the chat session instructing them not to share any personal information and advising users who nevertheless include PI, what will happen in such instances. The chatbot will use Artificial Intelligence (AI) to detect keywords to answer a user's question. If a user requires further assistance, the chatbot will transfer the conversation to a live chat agent. The chatbot was initially trained on extracted content from 2021 Census Questions and Answers (e.g., What is a census letter? Where can I find my secure access code?) and will keep training on new content that will be added as needed. As the chatbot does not make any administrative decisions on individuals, an Algorithmic Impact Assessment is not required.

The chatbot software and licenses have been acquired by Statistics Canada from a service provider. It has been integrated into Statistics Canada's website structure in a development environment prior to being moved to its production environment on January 15, 2024. A full security assessment was completed on January 9, 2024 with a risk management input (RMI) assessed as a very low.

Risk Area Identification and Categorization

The PIA identifies the level of potential risk (level 1 is the lowest level of potential risk and level 4 is the highest) associated with the following risk areas:

a) Type of program or activity Risk scale
Program or activity that does not involve a decision about an identifiable individual. 1
b) Type of personal information involved and context
Only personal information, with no contextual sensitivities, collected directly from the individual or provided with the consent of the individual for disclosure under an authorized program. 1
c) Program or activity partners and private sector involvement
Within the institution (among one or more programs within the same institution) 1
d) Duration of the program or activity
Long-term program or activity. 3
e) Program population
The program's use of personal information for external administrative purposes affects certain individuals. 3
f) Personal information transmission
The personal information is transmitted using wireless technologies. 4
g) Technology and privacy
Power Microsoft Agent (chatbot) from Microsoft Dynamics is being implemented to facilitate a new communication method via chatbot to improve Statistic Canada's services and promote direct communication with data users and survey respondents.
Integrating Power Microsoft Agent (chatbot) from Microsoft Dynamics code into the website will require changes to our IT systems to enable integration of the code in the infrastructure.
Specific technological issues and privacy
h) Potential risk that in the event of a privacy breach, there will be an impact on the individual or employee.
Users will be advised to not provide any personal information when a chat session is opened. If provided, it will not be used and will be destroyed after three months. Therefore, the risk of some personal information being disclosed without proper authorization is very low, and the impact on the individual would be low.
i) Potential risk that in the event of a privacy breach, there will be an impact on the institution.
Users will be advised to not provide any personal information. If provided, it will not be used and will be destroyed after three months. Therefore, the risk of certain personal information being disclosed without proper authorization is very low, and the impact on the institution would be low.

Conclusion

This assessment of the Chatbot did not identify any privacy risks that cannot be managed using existing safeguards.

Appendix 2 – Privacy Notice Statement

When the chatbot box opens a privacy notice will appear in a banner at the top of the chat window.

Shorter version of Privacy Notice for chatbot banner (600-character limit (with space)):

The chatbot is designed to assist you with general inquiries related to Census. Please do not include any personal information, such as your name, address, or other identifying information.

If you have any concerns or specific issues that require personalized assistance, we recommend reaching out to our dedicated support channels, where trained professionals will be happy to help you.

For more details, visit the Privacy section of (webpage name).

Detailed Privacy Notice available to respondents on (hyperlink to StatCan webpage):

The chatbot is designed to assist you with general inquiries related to Census. Please do not include any personal information, such as your name, address, or other identifying information, as it is not required for general inquiries related to the Census.

If nevertheless users decide to share personal information, such information would be manually removed from chatbot transcripts. These transcripts could be anonymously retained for a three-month period for service evaluation purposes in the form of a compilation for the purpose of assessing quality of the service and to meet user needs.

If you have any concerns or specific issues that require personalized assistance, we recommend reaching out to our dedicated support channels, where trained professionals will be happy to help you.

If you have questions, please visit our website at www.census.gc.ca where you can also chat online with us, or contact us at 1-833-835-2024. Respondents with access to TTY (for persons who have a hearing or speech impairment) should call 1-833-830-3109. Video relay services (VRS) can also be used.

Supplement to Statistics Canada’s Generic Privacy Impact Assessment related to the Canadian Survey on the Provision of Child Care Services

Date: February 2024

Program manager: Director, Centre for Special Business Projects
Director General, Agriculture, Energy and Environment Statistics

Reference to Personal Information Bank (PIB):

In accordance with the Privacy Act, Statistics Canada is submitting an amendment to the institutional personal information bank (PIB) StatCan PPU 116, Sociodemographic Information on Business Primary Decision Makers to describe any personal information about individuals that work for, own or operate businesses, non-profits and other organizations as volunteers, employees, and/or primary decision-makers, collected in surveys or acquired administrative data for use in Statistics Canada’s Economic and Environmental Statistics programs operating under the authority of the Statistics Act.

Sociodemographic Information on Business Owners, Primary Decision Makers, Employees, and Volunteers

Description: This bank describes personal information that relates to individuals that work for, own or operate businesses, non-profits and other organizations as volunteers, employees, and/or primary decision-makers, collected in surveys or acquired administrative data for use in Statistics Canada’s Economic and Environmental Statistics programs operating under the authority of the Statistics Act. Personal information may include gender, sexual and gender diversity, First Nations (North American Indian), Métis, or Inuk (Inuit), visible minority, persons with a disability, citizenship and immigration status, education and age.
Class of Individuals: Business owners, primary decision makers, employees and volunteers of non-profits and other organizations or businesses that are included in Statistics Canada’s Economic and Environmental Statistics programs.
Purpose: The personal information is used to produce statistical data that help provide insight into various gaps in the economy for a variety of minority groups, and serves to inform evidence-based decisions on funding and support for specific groups of businesses, non-profits or other organizations. Personal information is collected pursuant to the Statistics Act (Sections 3, 7, 8).
Consistent Uses: When collected directly and with informed consent, identifiable sociodemographic personal information may be shared with provincial and territorial statistical agencies and other government organizations that have demonstrated a requirement to use the data, and as permitted under the provisions of Sections 11 or 12 of the Statistics Act.
Retention and Disposal Standards: Information is retained until it is no longer required for statistical purposes and then it is destroyed.
RDA Number: 2007/001
Related Record Number: To be assigned by Statistics Canada
TBS Registration: To be assigned by TBS
Bank Number: StatCan PPU 166

Description of statistical activity:

Under the authority of the Statistics ActFootnote 1, Statistics Canada conducts the Canadian Survey on the Provision of Child Care Services (CSPCCS). This irregular voluntary survey is funded by Employment and Social Development Canada (ESDC) and its purpose is to collect information on the provision of child care services in Canada for children ages 12 and under at the national, provincial, and territorial levels. Information about staffing levels and training, services provided, enrollment and daily fees is collected from licensed and unlicensed home-based and centre-based child care providers. 

Starting with the 2024 survey cycle, four new sociodemographic questions pertaining to only home-based child care operators will be asked: 

  • Gender
  • First Nations (North American Indian), Métis, or Inuk (Inuit)
  • Landed immigrant within the last 10 years 
  • Person with a disability

Home-based child care operators make up approximately 69% of child care providers in Canada. They are often run and operated by the same individual and thus the sociodemographic questions will typically be answered directly by the individual to whom they pertain. 

Respondents have the option to select the response “Prefer not to answer” or “Don’t know” for the questions pertaining to the gender of the home operator, whether the home operator is First Nations, Métis, or Inuk (Inuit), whether the home operator is a landed immigrant to Canada in the last 10 years, and whether the home operator is a person with a disability. Further, the respondent may leave any of these questions unanswered and continue the survey. As such, the respondent may choose to answer these questions to the best of their knowledge or not. Furthermore, the survey respondent is instructed in the beginning of the questionnaire that the owner or operator of the child care service is the best person to respond to the survey.

Reason for supplement:

While the Generic Privacy Impact Assessment (PIA) addresses most of the privacy and security risks related to statistical activities conducted by Statistics Canada, this supplement was conducted due to the potentially sensitive nature of the sociodemographic information about home child care operators. As is the case with all PIAs, Statistics Canada’s privacy framework ensures that elements of privacy protection and privacy controls are documented and applied.

Necessity and Proportionality

The collection of personal information for the Canadian Survey on the Provision of Child Care Services can be justified against Statistics Canada’s Necessity and Proportionality Framework: 

  1. Necessity: Child care was included as part of Budget 2021 to support and create more high quality, affordable child care spaces across the country. The CSPCCS is funded by the $95 million that was previously allocated to child care data collection and research in Budget 2017Footnote 2 as data gaps exist in Canada in terms of profiles of home-based child care providers. Home-based providers service a wide range of child care needs, and it is important to understand whether they reflect the demographics of the population to whom their services are being provided. It is expected that building the capacity of the national child care sector will necessitate supporting diverse groups to develop their skills to take on greater leadership roles, building the entrepreneurial capacity and business skills of under-represented groups (such as Indigenous communities, women, immigrants and persons with disabilities), facilitating the sharing of industry experience, best practices and knowledge to help under-represented groups manage transformation, and reinforcing the child care sector by incorporating the views of a more diverse set of industry players. Better data, analysis and information can highlight inequities and promote fairness and inclusion in the delivery of programs, services, and policy decisions. 

    Collecting this data allows for baseline metrics of participation by underrepresented groups (i.e., to what extent are each of the groups represented among home-based child care providers and how does this compare to representation of the children served in the population?). 

    Employment and Social Development Canada (ESDC) and other Government of Canada departments will use the resulting information to better understand the child care sector in order to make recommendations to policy departments regarding the development and support of child care programs in Canada. The information will also allow national, provincial and territorial governments as well as researchers to further support and foster collaboration in the child care sector. 

    Specifically, the sociodemographic information collected may help strengthen the sector by leading to the creation of policies that better reflect the diversity of Canadian communities, enhance collaboration across different jurisdictions, secure and support public trust in the sector, and improve client services. In addition, the data may be used to inform upcoming child care workforce strategies. 

    Questions on immigrant status and Indigenous identity of home-based child care providers contribute to an understanding of the Early Learning and Child Care Framework (ELCC) home-based workforce. The CSPCCS can provide insights into the intersection between low remuneration in this nearly entirely female field and its demographic characteristics of which nearly half are immigrants or non-permanent residents. Further, comparatively little information has been collected on Indigenous home-based child care providers. It is possible that this information may be relevant to gaining a better understanding of the supply of child care services across Canada. For example, the Indigenous Early Learning and Child Care Framework (IELCC) represents the Government of Canada and Indigenous peoples’ work to co-develop a transformative Indigenous framework that reflects the unique cultures, aspirations and needs of First Nations, Inuit and Métis children across Canada. Having information about the supply of Indigenous owned home-based child care services across Canada would be crucial to evaluate the effectiveness of the IELCC.

    Questions on gender and persons with disabilities provide a comprehensive view of the population of home-based child care operators. Understanding the gender distribution and prevalence of persons with disabilities among child care operators provides valuable insights on any disparities in the sector. For example, to what extent are each of these groups represented among home-based child care providers and how does this compare to representation of the children served in the population.

  2. Effectiveness - Working assumptions: Although the survey is voluntary and the respondents have the option to select the response “Prefer not to answer” or “Don’t know”, it is expected that those that choose to provide the information will do so as accurately as possible. Further, the survey instructions identify the owner or operator of the child care service to be the best person to respond to the survey, increasing the likelihood of direct collection of personal information. When these questions are received by proxy, the small size of daycares is a factor, as it would be reasonably expected that any others at the daycare would be aware of this information, or would decline to respond or select “Prefer not to answer” or “Don’t know” in cases where they were not. 

  3. Proportionality: The information will be collected to better understand participation in the sector by underrepresented population groups, allowing for the implementation of evidence-based policies in the child care sector to further encourage more widespread participation. The five sociodemographic variables represent the minimum required to best represent Canada’s diverse communities as determined by subject matter experts at Statistics Canada and ESDC and are only collected from home-based child care services which make up approximately 69% of child care providers in Canada. Practices in the child care sector vary significantly across the provinces and territories, necessitating good information for each jurisdiction. As such, the sample has been designed to support the production of quality estimates at the provincial and territorial level. Further, linking to Statistics Canada’s only linkable dataset that contains these types of variables – the Census of Population long-form, to which only a portion of Canadians were asked to respond – would result in a linkage rate that would be too low to meet Statistics Canada’s quality guidelines

    This effort ultimately aims to address inequalities and disparities affecting underrepresented population groups, allowing for a broader reach in participation across the child care sector and to foster future generations of child care operators. As such, the collection of the new sociodemographic information is considered proportional to the potential benefits.

  4. Alternatives: The following alternative modes of collecting the sociodemographic information were considered, and due to their limitations, the voluntary collection of sociodemographic information about operators was identified as being the most efficient and effective method to achieve the identified needs.

    Direct collection from operators through additional screening questions: Despite potentially being more accurate, the addition of screening questions to validate that the survey respondent is also the business operator could be more burdensome on respondents, limiting the response rate and compromising the program’s ability to produce statistics about these minority groups that comply with Statistics Canada’s quality guidelines

    Linking the sociodemographic variables from other surveys or administrative files: Statistics Canada’s only linkable dataset that contains these types of variables is the Census of Population long-from to which only a portion of Canadians were asked to respond. As such, the linkage rate would be too low to meet Statistics Canada’s quality guidelines.

Mitigation factors:

The overall risk of harm to the survey respondents has been deemed manageable with existing Statistics Canada safeguards that are described in Statistics Canada’s Generic Privacy Impact Assessment, such as with the following measures:

  • Respondents will be informed at the start of the questionnaire that it is voluntary, and that they have the right to refuse to provide any information. 
  • Respondents have the option to select the response “Prefer not to answer” or “Don’t know” for the questions pertaining to gender, First Nations, Métis, or Inuk (Inuit), landed immigrant to Canada in the last 10 years, and person with a disability. 
  • Respondents can leave the questions blank and proceed with the rest of the survey. 
  • Respondents are instructed at the beginning of the questionnaire that the owner or operator of the child care service is the best person to respond to the survey.
  • Statistics Canada will not attempt to re-identify any individuals from the personal information collected. 
  • Statistics Canada will not publish any information that could allow the identification of any individuals. Additional suppressions will be performed on outputs to ensure any risk of re-identification is mitigated.

Conclusion:

This assessment concludes that the overall risk of harm has been deemed manageable with the abovementioned mitigations and existing Statistics Canada safeguards described in Statistics Canada's Generic Privacy Impact Assessment.

Business Register Data Products: User Guide

Introduction and document purpose

This document is intended as a guide for external clients who use or seek to use information provided by the Data Integration Infrastructure Division (DIID) from Statistics Canada’s Business Register (BR).

These products include counts of active businesses by industry, geography and employment range, which can be obtained through statcan.gc.ca or through custom tabulations from the DIID on request.

Other products provided by DIID are the listings of businesses provided to provincial or territorial and federal departments under disclosure orders by the chief statistician authorized under the Statistics Act.

Please note that other Statistics Canada divisions also produce business demographic statistics.Notably, these include information from the Economic Analysis Division and the Centre for Special Business Projects.

DIID experts are available to provide further information on these products as well,or to refer to contacts in these divisions. However, they are not covered in this document.

Context: What is the Business Register?

The BR is Statistics Canada’s internal repository that keeps the baseline information about Canada’s businesses and institutions that is required for the agency’s statistical work.

The BR conceptualizes and maintains information for businesses and their individual operating entities as statistical units of observation. It also provides related statistical attributes, including the industrial activity classification; geographic location; and key measures of business size, such as the number of employees and annual revenues.

The BR is key to the compilation of coordinated, consistent and reliable information from Statistics Canada’s many economic data programs. It is the source of sampling frames for virtually all of the agency’s business and institutional surveys. Also, the BR provides the reference data and linkage keys needed to integrate and enable the use of business data from survey, administrative and other data sources across the Statistics Canada data ecosystem.

The BR can be used to produce business demography statistics, such as counts of active businesses, openings and closures, and other business dynamics.

Data sources and confidentiality

The BR is compiled and maintained primarily from administrative sources, through data Statistics Canada receives from the Canada Revenue Agency (CRA). Through its own processes, including statistical enterprise profiling, survey data collection and data analysis, Statistics Canada builds on the CRA-provided data to provision a fully representative and up-to-date statistical frame of business entities and their operating locations.

All BR data, whether sourced from tax information or Statistics Canada’s own processes, are obtained and maintained by Statistics Canada under the authority of the Statistics Act. Under the act,information related to individual businesses or information that can identify a specific business is strictly confidential and cannot be divulged, other than to a person employed or deemed to be employed by Statistics Canada. Under certain circumstances, specific variables are provided to federal and provincial government partners, as per the conditions outlined in the Statistics Act.

Data Integration Infrastructure Division business data products

Three categories of data products related to businesses are provided by DIID. In most cases, the coverage is restricted to businesses or government institutions meeting any of the following criteria:

  • have an employee workforce for which they submit payroll remittances to the CRA.
  • are incorporated under a federal or provincial act and have filed a federal corporate income tax form within the past three years.
  • have at least $30,000 in annual revenues.

1. Canadian business counts (formerly Canadian business patterns)

The Canadian business counts (CBCs) are produced biannually every June and December and are released in August and February. This product can be used to compare the number of businesses across North American Industry Classification System (NAICS) categories, employment size ranges, provinces and territories, and census metropolitan areas (CMAs) and the census subdivisions (CSDs) within them, as well as all CSDs in Canada with 10 or more active businesses with employees. The following data tables are available to the public on the Statistics Canada website:

  • business location counts with employees for Canada, by province, NAICS category and employment size range.
  • business location counts without employees for Canada, by province and NAICS category.
  • business location counts with employees by CMA, CSD, NAICS category and employment size range.

Website link: The Daily - In the news: Statistics Canada’s official release bulletin.

You can find all iterations of the CBC data product from the link above or through your web browser and search engine of choice using the following terms: “Canadian Business Counts” or “Canadian Business Patterns” (for historic counts).

2. Custom aggregate data tables

For all custom aggregate data table questions or orders, please email statcan.statisticalregisters-registresstatistiques.statcan@statcan.gc.ca.

Employment size ranges

  • Units: Location, establishment or enterprise counts
  • Geography: All geography
  • Industry: All levels of NAICS
  • Employment size ranges: Standard 9 ranges or custom 13 or 21 ranges
  • Confidentiality measures: None

Revenue ranges

  • Units: Location, establishment or enterprise counts
  • Geography: Province and census agglomeration (CA) or CMA
  • Industry: NAICS-2 and NAICS-3
  • Confidentiality measures: Rounding to the nearest five counts

Profit and non-profit data (December only)

  • Units: Establishment counts
  • Geography: Province
  • Industry: NAICS-2
  • Confidentiality measures: Suppression

Business type and public and private data (December only)

  • Units: Enterprise counts
  • Geography: Province and CMA (14)
  • Industry: NAICS-2
  • Confidentiality measures: Suppression

3. Business Register microdata

BR microdata files are provided to specific federal, provincial and territorial government departments or agencies under specific orders authorized by the Statistics Act. Under the terms of these orders, the use of this information is restricted to statistical or research purposes, and recipients must agree to strict protection of confidential information. Further information is available upon request.

For BR microdata questions or orders, please email statcan.statisticalregisters-registresstatistiques.statcan@statcan.gc.ca.

Other relevant information about the Business Register

Data variations caused by methodological changes, by year

Data are affected by not only business data, but also multiple conceptual and methodological factors, such as ingestion of new data sources; changes to activation, inactivation and reactivation rules; batch fixes and updates for NAICS; new NAICS classification vintages; and new geography vintages.  NAICS and geography are continuously updated, with major revisions every 5 years. These changes will take between 6-18 months to be reflected in our counts. Most recently in June 2022 counts, 2021 Census geographies replaced the 2016 geographies. NAICS 2022 replaced NAICS 2017 for the December 2022 counts.

Below is a list of major methodological changes in reverse chronological order. Please note that many smaller methodological changes occur on a regular basis.  Starting with the June 2022 counts, 2021 Census geographies replaced the 2016 geographies. NAICS 2017 was implemented with the December 2017 counts and has been replaced by NAICS 2022 for the December 2022 counts.

  • With the December 2021 counts, refinements to the geographic coding of business locations were made, which may change the geographic classification of some businesses at low levels of geography. Generally, the reclassification is to nearby zones, resulting in only minor impacts on counts for CSDs. There are no impacts on the overall counts for CMAs and CSDs and, by extension, for provinces and territories.
  • The December 2019 counts reflect a downward correction to the number of businesses, especially those without employees, because of new criteria for identifying businesses that had become inactive. Approximately 140,000 units are affected by this correction.
  • Starting in December 2014, businesses without employees now cover all enterprises that meet one of the following criteria: is incorporated or shows at least $30,000 in revenue (non-taxable or taxable). This change affects businesses that didn’t have $30,000 in taxable revenue in previous years but did have at least $30,000 combined in non-taxable and taxable revenue. These businesses will now be included and represent approximately 600,000 units. Business counts in NAICS sectors 53 (real estate and rental and leasing) and 62 (health care and social assistance) have the largest increases.
  • In December 2014, a revision of the employer status on all units of the BR resulted in approximately 70,000 businesses with employees shifting to the businesses without employees category. This change is mostly noticeable in the smaller employment size ranges. Business counts in NAICS sectors 72 (accommodation and food services), 62 (health care and social assistance), 31–33 (manufacturing) and 44–45 (retail trade) see the largest decreases.
  • There are two industrial classification categories introduced in 2014: unclassified, which is a new category for businesses that haven’t received a NAICS code, and classified, a category for businesses that have received a NAICS code. The impact of adding the unclassified category is an additional 78,718 locations with employees and 313,107 locations without employees. These counts can be easily identified, because they’re in a separate category.
  • A small portion of the increase in businesses in December 2013 is attributable to new rules regarding the acceptance of auto-coded NAICS codes, which resulted in these businesses being included in the data. The impact wasn’t as widespread as the initial NAICS auto-code increase in June 2013—it mostly affected non-employers across most sectors.
  • A large increase in the June 2013 reference period is attributable to incorporated businesses that are now required to auto-code a NAICS code to record their tax form information with the CRA. The increase represents an accumulation of about two years of auto-coding. This change affects almost every sector and accounts for most of the growth in the data from December 2012 to June 2013.
  • For the first time, the December 2010 reference period includes all unincorporated (T1) businesses with sales of at least $30,000. This integration of T1 businesses is intended to create a more comprehensive representation of the business population on our register. Specifically, this change has mainly affected the following NAICS sectors: 53 (real estate and rental and leasing), 44–45 (retail trade) and 62 (health care and social assistance). The introduction of these units hasn’t had a significant impact on total business counts and represents 1.6% of all locations in December 2010.
  • The December 2008 and June 2009 reference periods show a decrease in the number of businesses. This can be attributed to the introduction of new inactivation rules that expand the ability to identify units that aren’t reporting any economic activity.
  • The December 2008 reference period introduced the use of “statistical location” counts, besides the usual establishment counts. The use of location counts provides a better measurement of business units. Definitions of the statistical establishment and location are provided later in this document under the “Statistical establishment” and “Statistical location” sections.
  • The December 2007 reference period is based on the redesigned BR. The statistical structure (including establishments) has been simplified to better reflect the operating structure of the business. The decrease in the number of establishments is the result of our continuous efforts to detect inactive businesses as early as possible.
  • The June 2006 reference period shows an increase in the number of businesses because of a methodological change. There is a new way of identifying newcomers on the BR. The following NAICS sectors have been affected: 48–49 (transportation and warehousing), 53 (real estate and rental and leasing) and 54 (professional, scientific and technical services).
  • In December 2000 and June 2005, the number of smaller businesses declined. The BR has analyzed new administrative sources to detect business closures more rapidly and accurately. This has resulted in the use of new signals that are now part of the processes to update the BR.

Data quality and limitations

The BR is largely based on the Business Number (BN) registration source as collected by the CRA.

Time series

Changes to the BR’s methodology or to business industrial classification strategies can cause increases or decreases in the number of active businesses. As a result, the data do not represent changes in the business population over time. Statistics Canada recommends that users not use the data as a time series.

To view recent methodological changes, please refer to the Data variations caused by methodological changes, by year section above.

Creations

Generally, the creation of an entity on the BR occurs shortly after the business registers with CRA. The BN registrations are used to update the BR database weekly. Businesses with multiple locations may also be contacted or profiled to obtain the necessary information for the creation of location entities.

Inactivation

Businesses are assigned an inactive status on the BR when neither a tax payment nor payroll remittance has been made by these businesses for some time or following the closure of CRA tax accounts.

North American Industry Classification System

For newly created businesses, the primary industrial coding is initially processed using automated coding software. This software evaluates the activity description indicated by the business and assigns the appropriate industry classification coding to about 50% of new business records. Activity descriptions lacking precision are subjected to a manual coding process.

Key definitions found in Business Register Data

Statistical entities

Statistical enterprise

An enterprise is the legal operating entity at the top of the operating structure. There is only one enterprise per operating structure. It’s associated with a complete set of financial statements.

Statistical establishment

A statistical establishment is the production entity or the smallest grouping of production entities that

  1. produces a homogeneous set of goods or services.
  2. doesn’t cross provincial boundaries.
  3. provides data on the value of output, together with the cost of principal intermediate inputs used, along with the cost and quantity of labour resources used to produce the output.

Statistical location

The location is an operating entity, specifically a production entity that

  1. conducts economic activity at, or from, a single physical location or group of locations.
  2. resides within the smallest standardized geographical area.
  3. provides employment data at a minimum.

Employment

Source

Employment is based on both corporations’ payroll remittance and profiling and survey data. These data are edited and imputed before being used as input for other processes.

For simple units, attached to only one legal entity, the employment is derived from payroll deductions using the second maximum input within the last 12 months of data. For the complex units, aggregated employment, obtained from profiling, is first determined at the enterprise level. This value is then distributed at the establishment and location levels based on the profiled employment distribution from the BR.

Employment size ranges

The following are the standard employment size ranges (nine) available in the BR:

  • 0 (without employees)
  • 1 to 4
  • 5 to 9
  • 10 to 19
  • 20 to 49
  • 50 to 99
  • 100 to 199
  • 200 to 499
  • 500 and over.

Employment size ranges of 13 and 21 are also available upon request.

Employment size range 13:

  • 0 (without employees)
  • 1 to 4
  • 5 to 9
  • 10 to 19
  • 20 to 49
  • 50 to 99
  • 100 to 199
  • 200 to 499
  • 500 to 999
  • 1,000 to 1,499
  • 1,500 to 2,499
  • 2,500 to 4,999
  • 5,000 and over.

Employment size range 21:

  • 0 (without employees)
  • 1 to 4
  • 5 to 9
  • 10 to 19
  • 20 to 29
  • 30 to 49
  • 50 to 99
  • 100 to 149
  • 150 to 199
  • 200 to 249
  • 250 to 299
  • 300 to 399
  • 400 to 499
  • 500 to 999
  • 1,000 to 1,499
  • 1,500 to 1,999
  • 2,000 to 2,499
  • 2,500 to 2,999
  • 3,000 to 3,999
  • 4,000 to 4,999
  • 5,000 and over.

Locations without employees include the self-employed (i.e., those who don’t maintain an employee payroll but may have a workforce that consists of contracted workers, family members or business owners). They also include employers who didn’t report employees in the last 12 months.

Note:

BR employment data should be used with caution. The methodology on the BR used to derive the number of employees for a given business is to select the second-highest monthly value from the last 12 months to reduce volatility for survey sampling. As well, the file contains employment size ranges, which can affect the ability to compile totals. For these reasons, employment data should be used with caveats when attempting to calculate an employment total for any given NAICS category or geography. It is more straightforward to use the data to compile aggregate counts of businesses by NAICS category, geography and employment size class.

Geography

The Standard Geographical Classification (SGC) is Statistics Canada’s official classification for the geographical areas in Canada. It was developed to facilitate the analysis of statistical data using a uniform geographical area definition. It produces a range of geographical areas that are useful for analysis, data collection and compilation on this basis. It is intended primarily for the classification of statistical units such as locations.

A business is geolocated using its available address information. This geolocation process will aim to code the business at the most precise level possible. When insufficient address information exists, the postal code is used as a last resort. Since the postal code is designed by Canada Post to target the efficient delivery of the mail, there are situations where one postal code may not align exactly to the boundaries of a single SGC geographic unit. In such cases, a default SGC is selected for the business. The smaller and rural geographic units are more likely to be subject to this possibility.

For more detailed information, please visit Geographic classifications.

Structure of the Standard Geographical Classification

Each of the three sets of areas covers all of Canada. They are hierarchical: a CSD aggregates to a census division (CD), which in turn aggregates to a province or territory.

(1) Province and territory

The terms “province” and “territory” refer to the major political units of Canada. From a statistical point of view, province and territory are basic areas for which data are tabulated. Canada is divided into 10 provinces and 3 territories.

(2) Census division

“Census division” (CD) is the general term for provincially legislated areas, such as counties and regional districts, or their equivalents. CDs are intermediate geographic areas between the province or territory level and the municipality (CSD).

Usually, they are groups of neighbouring municipalities joined together for the purposes of regional planning and managing common services (such as police or ambulance services). These groupings are established under laws in certain provinces of Canada.

(3) Census subdivision

“Census subdivision” (CSD) is the general term for municipalities (as determined by provincial or territorial legislation) or areas treated as municipal equivalents for statistical purposes (e.g., Indian reserves, Indian settlements and unorganized territories).

Please take note, when using the CSD, of the volatility of the counts between the different reference periods. Units move from one CSD to another, not because of actual changes in physical location, but because of changes in linkages between a specific CSD and a postal code.

Statistical Area Classification

The Statistical Area Classification (SAC) groups CSDs according to whether they are a component of a CMA, CA, or CMA and CA influenced zone (MIZ). The MIZ categorizes all CSDs in provinces and territories that are outside CMAs and CAs. CSDs within provinces that are outside CMAs and CAs are assigned to one of four categories according to the degree of influence (strong, moderate, weak or no influence) that the CMAs or CAs have on them. CSDs within territories that are outside CAs are assigned to a separate category.

The SAC is a variant of the SGC. CSDs form the lowest level of the classification variant. The next level consists of CMAs, CAs and MIZs, including the territories. The highest level consists of two categories that cover all Canada’s land mass:

  • inside CMAs and CAs
  • outside CMAs and CAs.

The SAC provides unique numeric identification (codes) for these hierarchically related geographic areas. It was established for the purpose of reporting statistics.

Census metropolitan area and census agglomeration

A CMA or CA is formed by one or more adjacent municipalities centred on a population centre (known as the core). A CMA must have a total population of at least 100,000, of which 50,000 or more must live in the core. A CA must have a core population of at least 10,000. To be included in a CMA or CA, other adjacent municipalities must have a high degree of integration with the core as measured by commuting flows derived from previous census place of work data.

If the population of the core of a CA declines below 10,000, the CA is retired. However, once an area becomes a CMA, it is retained as a CMA even if its total population declines below 100,000 or the population of its core falls below 50,000. All areas inside the CMA or CA that aren’t population centres are deemed rural areas.

Other geographies

Economic region

An economic region is a grouping of complete CDs, with one exception in Ontario, created as a standard geographic unit for analysis of regional economic activity.

Census tract

A census tract is an area that is small and relatively stable. Census tracts usually have a population of 2,500 to 8,000. They are in large urban centres that must have an urban core population of 50,000 or more.

Federal electoral district

A federal electoral district is an area represented by a Member of Parliament elected to the House of Commons.

Dissemination area

A dissemination area is a small area composed of one or more neighbouring blocks, with a population of 400 to 700 people. All of Canada is divided into dissemination areas.

Forward sortation area

A forward sortation area is an area composed of the first three digits of the postal code, which is a six-character code defined and maintained by Canada Post for the purpose of sorting and delivering mail.

“000” residue

Please note that codes have been created for residues. They consist of the province or territory code followed by zeroes. This residual category reflects statistical units in Canada where there is insufficient information to precisely locate the locations within a CD or CSD as determined by the SGC.

Industry codes: North American Industry Classification System

NAICS is an industry classification system developed by the statistical agencies of Canada, Mexico and the United States. It’s 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 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.

For more detailed information, please visit North American Industry Classification System (NAICS) Canada.

NAICS is a system encompassing all economic activities. It has a hierarchical structure.

NAICS is a system encompassing all economic activities. It has a hierarchical structure.
North American Industry Classification System
Sectors two digits
Sub-sectors three digits
Industry groups four digits
Industries five digits
National industries six digits

Revenue

These revenues are derived mostly from administrative files from the CRA. They are based on both corporations’ income tax revenues and goods and services tax (GST) sales remittances. These data are at first edited and imputed before being used as input for other processes. For simple units, attached to only one legal entity, the revenue is derived from a regression model using the GST sales as the independent variable, the income tax revenue being the dependent variable. For the complex units, aggregated revenue is first determined at the enterprise level. This value is then distributed at the establishment and location levels based on the profiled revenue distribution from the BR.

Contact us

Dissemination Unit
Data Integration Infrastructure Division
Statistics Canada
Tunney’s Pasture
Ottawa, Ontario
K1A 0T6

statcan.statisticalregisters-registresstatistiques.statcan@statcan.gc.ca

Data to Decisions: Visualizations and ML Modeling of Rental Property Data

By: Uchenna Mgbaja, Md Mahbub Mishu, Maryam Zamani, Sumithra Balamurugan, and Aya Heba; NorQuest College

As per the 2021 census, there were 5-million rental households in Canada, which means roughly one-third of Canadian households are renters. However, much of this rental activity occurs privately, leading to limited and inconsistent data. To bridge this knowledge gap, we acquired processed, analyzed, and visualized rental listings from the stakeholder – Community Data Program, for Ontario. This dataset offers new insights into spatial trends in metropolitan and small community housing markets, which surpasses other available sources in detail and granularity. Notably, cities like Toronto, Brampton, and Mississauga exhibit high rental prices per square foot, reflecting the region's economic dynamics. We also analyzed areas in Ontario where the population is less than 10,000.

This study aims to address three main objectives:

  • interpret trends in datasets and their implications for the housing market,
  • apply ML models to the datasets so that the model can forecast future trends, and
  • deployment of the best model.

Methodology

We acquired a robust dataset from our client which comprised of 18 columns detailing the regions, bedrooms, addresses, and other pertinent information.

To extract valuable insights, we employed coding techniques and visual representations such as charts and graphs. This helps us to successfully unearth key patterns in housing dynamics, particularly identifying regions with noteworthy differences in housing expenses and density of listings.

Exploratory data analysis

For the exploratory data analysis (EDA), we selected small communities based on their population count. This approach helped us narrow our focus and gain a better understanding of the housing dynamics in these specific regions. However, the "Price" column of our dataset contained inconsistencies such as dollar signs and commas, making it difficult to analyze. To clean this, we removed special characters and converted the column to a numerical format. This enabled us to perform numerical operations and visualize the data, effectively.

Next, we identified that some records in the "Bedrooms" and "Bathroom" columns contained complex entries like "2+ Den," where the regex function only captured the numbers, ignoring the additional "Den." This led to inaccuracies in the representation of bedroom and bathroom counts. To address this issue, we created a temporary column to identify "+ Den" entries, converted 'Bedrooms' and 'Bathrooms' to numeric values, and adjusted the counts to account for the "Den" part. Afterward, we dropped the temporary column, ensuring accurate bedroom counts for each property listing.

The "Size" column contained non-numeric values such as "Not Available" which caused errors when attempting to convert the column to a float data type. To address this issue, we replaced non-numeric values like "Not Available" with NaN (Not a Number) using pandas' replace() function.

Entries in the "Size" column that were below 200 or above 9000 square feet were considered outliers and did not make sense in the context of property sizes. These outliers could skew analysis and visualization results if not addressed appropriately.

Geographical map of rental listings in Ontario

In this section, we used Google's Looker Studio to generate graphs, charts, maps etc., as well as Plotly Express in Python for the visualizations of the dataset.

Figure 1: Generating Geographical data Using Plotly.
Description - Figure 1: Generating Geographical data Using Plotly.

This image displays a geographical map of Southern Ontario, highlighting the distribution of rental listings captured in the dataset. Each listing is a distinct point on the map.

We created a scatter map (shown in Figure 1 above) using Plotly Express. Each point on the map represents a property listing. We chose an open street map style for clarity and simplicity.

Histogram representing the distribution of rental prices

The histogram (shown in Figure 2) allows users to explore the distribution of rental prices. To ensure that the visualization is intuitive, we maintained clear labels for axes, title, and provide a concise explanation of what the histogram represents.

Figure 2: A histogram depicting the distribution of rental prices from a dataset.
Description - Figure 2: A histogram depicting the distribution of rental prices from a dataset.

The x-axis represents the rental prices in dollars, ranging from 0 to $8000, while the y-axis shows the frequency of listings at various price points. The distribution appears right-skewed, indicating that most of the rental listings are concentrated in the lower price range, with fewer listings at higher prices.

Scatter plot representing the size and price with the number of bedrooms

The scatter plot (shown in Figure 3) allowed users to explore the relationship between size, price, and the number of bedrooms in a rental property. Users can identify trends, such as how prices vary with the size and numbers of bedrooms.

Figure 3: scatter plot that illustrates the relationship between the size of a property and its rental price.
Description - Figure 3: scatter plot that illustrates the relationship between the size of a property and its rental price.

This image depicts a scatter plot that illustrates the relationship between the size of a property (in square feet) and its rental price (in dollars), with a further dimension showing the number of bedrooms. The x-axis represents the size of the property, ranging from 0 to 8000 square feet, and the y-axis represents the price, from $0 to over $8000.

Box plot representing price distribution based on number of bedrooms

The boxplot (shown in Figure 4) allows users to identify trends in price distribution based on the number of bedrooms. Analyzing outliers can provide insights into exceptional properties and market trends, helping users make informed decisions regarding rental or investment properties.

Figure 4: Price distribution based on number of bedrooms.
Description - Figure 4: Price distribution based on number of bedrooms.

This image shows the variation in rental prices across different bedroom configurations. Each box plot segment shows the median, quartiles, and outliers in rental prices, providing a visual summary of how bedroom count influences rental costs. Outliers are represented as individual points above and below the boxes, indicating variations from typical rental prices for each category.

Bar charts for the top ten most expensive and least expensive regions in Ontario

The bar charts (shown in Figures 5 and 6) provide insights into regional price distributions, highlighting the top ten most expensive and least expensive regions. Users can identify trends, such as regional disparities in rental prices, and make informed decisions by targeting regions with lower average prices for investment opportunities.

Figure 5: Top ten most expensive regions
Description - Figure 5: Top ten most expensive regions

This image displays the average rental prices across various regions in Ontario. The y-axis measures the average price in dollars, showing values from $0 to $3,500+.

Figure 6: Top ten least expensive regions
Description - Figure 6: Top ten least expensive regions

This image displays the average rental prices across various regions in Ontario. The y-axis measures the average price in dollars, showing values from $0 to $1000.

Pie chart provides insights into the distribution of property types

The pie chart (shown in Figure 7) provides insights into the distribution of property types in the rental market. Users can identify the most prevalent property type, such as apartments, which accounts for the largest percentage (37.6%). This information can help users make informed decisions, such as best property types for investment or rental opportunities.

Figure 7: Pie-chart for different types of properties in Ontario.
Description - Figure 7: Pie-chart for different types of properties in Ontario.

This image displays a pie chart illustrating the distribution of different types of rental properties available in a dataset. The chart segments are colour-coded and labeled with corresponding percentages to represent each property type's proportion within the total dataset.

Applying Machine Learning to cleaned data

To predict the rental prices, we applied machine learning (ML) models to our dataset. Our data is not time series, as the listings cover various dates without a consistent reference period. Instead, we focused on predictive regression models to predict rental prices which is our target variable. These models helped us analyze and predict price movements based on various features like location, property type, and amenities.

We trained various Machine Learning Models as shown below.

  • Regression Models:
    • First, we split the dataset into training and test sets. 80% for training and remining 20% for testing. This approach ensured that the model was trained on a substantial portion of the data while retaining a significant portion for testing.
    • Next, we trained the model using Regressor models- Random Forest, Linear Regression & Gradient Boosting models to predict rental prices – which was our target variable/label.
    • Our next step was to carry out cross-validation and for this we used k-fold cross validation technique to assess model performance and generalization.
    • Finally, we evaluated the models based on the following performance metrics:
      • Root Mean Squared Error (RMSE): This metric measures the average magnitude of the errors between the predicted values and the actual values. The lower the RMSE value, the better the model.
      • R-squared (R2) Score: This metric indicates how well the regression model's predictions fit the actual data. The higher this value, the better the model's prediction.
  • Classification Models

To enhance our analysis, we transformed the regression problem into a classification problem by setting price thresholds. Specifically, we categorized rental prices into three distinct groups: low, medium, and high. The thresholds were selected based on the distribution of prices in the dataset, with bins set at 0-1500, 1500-2500, and above 2500. This categorization allowed us to apply classification models, such as Random Forest (RF) and Decision Tree (DT), to predict the rental price categories. This approach is subject to the user's perspective of what is considered a high or low price.

We also developed classification models to predict the rental property type based on the given features. The goal was to recommend a suitable property type based on the user's specifications.

Results

Regression Models

After training and evaluating multiple ML models, it was determined that based on comparative evaluation, the linear regression exhibited superior performance compared to other regression models.

Table 1: Performance from ML models.
Model name RMSE R2
Random Forest Regressor 483.05 0.6120
Linear Regression 467.54 0.6568
Gradient Boosting 488.56 0.6372
Description - Table 1: Performance from ML models.

This table compares the performance of three different ML models using two metrics: RMSE (root mean square error) and R^2 (coefficient of determination). The table lists the following models: Random Forest regressor, linear regression, and gradient boosting. The RMSE and R^2 values are provided for each model to evaluate their accuracy and predictive power, respectively. The linear regression model exhibits the lowest RMSE at 467.54 and the highest R^2 value at 0.6568, indicating it performs better compared to the others.

Classification Models

The table below provides a detailed comparison of three machine learning models—Logistic Regression, Decision Tree, and Random Forest—used to classify rental property prices into different categories based on their features. The metrics considered for comparison are the accuracy, precision, and recall scores achieved by each model. These metrics are crucial in evaluating the effectiveness and reliability of the models in predicting rental property prices.

Table 2
Model Name Accuracy Precision Recall
Logistic Regression 0.73 0.81 0.81
Decision Tree 0.73 0.77 0.80
Random Forest 0.74 0.79 0.80
Description - Table 2

This table highlights the performance of different machine learning models in classifying rental property prices. The random forest model outperformed the other models in terms of accuracy, achieving a score of 0.74. Both logistic regression and decision tree models achieved the same accuracy score of 0.73. In terms of precision and recall, the logistic regression model achieved the highest score of 0.81, making it slightly better in identifying true positive instances. This comparison provides valuable insights into the effectiveness of these models in predicting rental property prices and helps in selecting the most suitable model for this task.

Feature selection methods: P-values

The concept of p-values in statistical analysis is fundamental for determining the significance of observed results. In hypothesis testing, particularly in the context of feature selection for ML models, p-values help assess the strength of evidence against a null hypothesis. A low p-value typically indicates that the observed data is unlikely under the assumption that the null hypothesis is true, leading to the rejection of the null hypothesis in favour of an alternative hypothesis.

Table 3: P-value results.
Description - Table 3: P-value results.

This table displays p-values associated with different features from a dataset, segmented into three separate columns for clarity. Each column lists features such as geographical names, property attributes and other factors. The corresponding p-values indicate the statistical significance of each feature in relation to the target variable, price. Features with p-values close to 0 suggest strong statistical significance, whereas values closer to 1 indicate weak significance. This format helps in identifying the most influential factors affecting rental prices.

In the above output, the data frame showcases feature names alongside their corresponding p-values derived from the ANOVA F-test. This statistical technique assesses the significance of individual features concerning the target variable "Price". A smaller p-value signifies a stronger association between the feature and the target variable, indicating a higher likelihood that the feature is relevant for predicting housing prices.

Notably, features such as "Hydro_N" "Hydro_Y" "Size" and various geographical indicators exhibit extremely low p-values, underlining their substantial impact on determining housing prices.

Correlation method

Correlation analysis is a statistical technique used to measure the strength and direction of the linear relationship between two variables. In the context of feature selection for ML, correlation analysis helps identify which features are highly correlated with the target variable and have a significant impact on predicting the target. A correlation coefficient ranges from -1 to 1, where:

  • A correlation coefficient of 1 indicates a perfect positive linear relationship, meaning that as one variable increases, the other variable also increases proportionally.
  • A correlation coefficient of -1 indicates a perfect negative linear relationship, meaning that as one variable increases, the other variable decreases proportionally.
  • A correlation coefficient close to 0 suggests little to no linear relationship between the variables.
Table 4: Price correlation.
Description - Table 4: Price correlation.

This table presents the correlation coefficients between various features including geographical locations (CSDNAME), attributes of the properties and other relevant variables. The correlation values range from -1 to 1, where values close to 1 or -1 indicate a strong positive or negative correlation with rental prices, respectively, and values near 0 suggest a weak or no correlation. This type of analysis helps in understanding which factors are most strongly associated with changes in rental prices.

In above output, the correlation coefficients between the "Price" (target variable) and other features are listed. "Bedrooms" and "Bathrooms" have relatively high positive correlations with "Price" (0.63 and 0.63, respectively), indicating that as the number of bedrooms or bathrooms in a property increases, the price tends to increase as well.

"Water_N" and "Water_Y" have the same correlation coefficient of 0.35 with "Price" suggesting that the presence or absence of water access might influence property prices to some extent.

Features such as "CSDNAME_South Frontenac" "CSDNAME_Norwich" and "CSDNAME_Chatsworth" have very low positive correlations with "Price" (close to 0), indicating weak linear relationships between these geographic indicators and property prices. We made informed decisions to retain only the most relevant geographic features based on domain expertise. This meticulous feature selection process contributed to a more robust and effective machine-learning model for predicting property prices.

Creating a Rental Housing Insights Application

The creation of the Rental Housing Insights Application represents a comprehensive effort to leverage data science techniques in analysing rental housing data. This section outlines the development process, key features, and the potential impact of the application on stakeholders and the community.

Figure 8: Community App.
Description - Figure 8: Community App.

Screenshot of the Community App interface. On the left side, a sidebar with the option to "Select a Page" with multiple options listed such as Dashboard, EDA, ML Modeling, ML Modeling (Type), Community Mapping, Small Community Mapping, and Google's Looker Studio.

Application Development

The application is developed using the Streamlit framework, using Python. The development process involves several key steps:

  • Data preprocessing: Cleaning and formatting the rental housing dataset to ensure data quality and consistency.
  • Feature engineering:Creating new features and transforming existing ones to enhance model performance and interpretability.
  • ML modeling: Training and evaluating predictive models to forecast rental prices and property types.
  • User Interface Design: Designing an intuitive and user-friendly interface for seamless navigation and interaction.

Features

The Rental Housing Insights Application offers the following key features:

  • Dashboard: Provides an overview of the project objectives and key findings.
  • Exploratory data analysis (EDA): Allows users to explore rental housing data through visualizations.
    Description - Figure 9: Selection of EDA from app.
    Description - Figure 9: Selection of EDA from app.

    The image displays a bar graph titled "Average Rental Price based on Healthcare Facilities in Small Communities (<10,000 population)." The graph depicts average rental prices in various small communities, highlighting the impact of healthcare facilities on rental costs in these areas.

  • ML modeling: Enables users to predict rental prices and property types based on input parameters.
    Figure 10: Applying ML Model using the developed App.
    Description - Figure 10: Applying ML Model using the developed App.

    The interface displays a rental price prediction module. Users can input attributes such as the number of bedrooms (set to 1.0), bathrooms (also 1.0), and select the type of property from options like Apartment, House, Townhouse, Duplex/Triplex, Basement, and Condo. After entering the details, the user can click the "Predict" button to generate a rental price estimate. The screenshot captures the result of this process, displaying a predicted rental price of $1,612.46.

  • Community mapping: Displays rental housing listings on maps, providing spatial insights into market trends.
    Figure 11: Maps from the app.
    Description - Figure 11: Maps from the app.

    This image displays the "Small Community Map: Population <10000" page. The geographic map visualization represents rental property listings with population less than 10000. Each point on the map corresponds to a property listing, with the colour indicating the population size and the point size reflecting the rental price.

  • Google's Looker Studio Integration: Embeds additional insights and reports for enhanced analysis and visualization.
    Figure 12: Dashboard integration to the developed app.
    Description - Figure 12: Dashboard integration to the developed app.

    This image shows the embedded visualization from Google Looker Studio. This enables users to dive deep into the data within the app.

User Experience

The application prioritizes user experience by offering an intuitive interface, interactive features, and real-time insights. Users can easily navigate between different sections, customize input parameters, and visualize results in a dynamic and engaging manner.

Impact and Benefits of the App

The Rental Housing Insights Application has the potential to make a significant impact on stakeholders and the community by:

  • Providing valuable insights into rental housing trends and patterns.
  • Supporting informed decision-making in real estate investments and property management.
  • Empowering users with predictive analytics capabilities for strategic planning and resource allocation.
  • Enhancing transparency and accessibility of rental housing data for policymakers, researchers, and community organizations.

Future work

The study offers a comprehensive exploration into the rental housing market in Ontario, Canada. By employing an EDA and ML techniques, the authors provide valuable insights into spatial trends, housing dynamics, and rental price forecasts, benefiting both metropolitan and small community markets.

Through meticulous data cleaning, feature engineering, and the application of various ML models, the study sheds light on crucial aspects such as price distributions, geographic influences, and the impact of housing attributes on rental prices. The development of an interactive Rental Housing Insights Application further enhances data exploration, predictive modeling, and spatial visualization, thereby empowering stakeholders with actionable insights and supporting informed decision-making in the rental housing market.

Overall, the study highlights the transformative potential of data-driven approaches in addressing complex societal challenges, such as affordable housing, and emphasizes the importance of collaboration between academia, industry, and government stakeholders to drive positive change in the rental housing landscape.

References

Business or organization information

1. Which of the following categories best describes this business or organization?

  • Government agency
  • Private sector business
  • Non-profit organization
    • Who does this organization primarily serve?
      • Households or individuals
        e.g., child and youth services, community food services, food bank, women’s shelter, community housing services, emergency relief services, religious organization, grant and giving services, social advocacy group, arts and recreation group
      • Businesses
        e.g., business association, chamber of commerce, condominium association, environmental support or protection services, group benefit carriers (pensions, health, medical)
  • Don’t know

2. In what year was this business or organization first established?

Please provide the year this business or organization first began operations.

Year business or organization was first established:
OR
Don’t know

  • Approximately how long ago was this business or organization first established?
    • 2 years ago or less
      Established in 2024, 2023, or 2022.
    • 3 to 10 years ago
      Established in 2014 to 2021.
    • 11 to 20 years ago
      Established in 2004 to 2013.
    • More than 20 years ago
      Established in 2003 or earlier.
    • Don’t know

3. Over the last 12 months, which of the following international activities did this business or organization conduct?

Select all that apply.

  • Export or sell goods outside of Canada
    Include both intermediate and final goods.
  • Export or sell services outside of Canada
    Include services delivered virtually and in person.
    e.g., software, cloud services, legal services, environmental services, architectural services, digital advertising
  • Make investments outside of Canada
  • Sell goods to businesses or organizations in Canada who then resold them outside of Canada
  • Import or buy goods from outside of Canada
    Include both intermediate and final goods.
  • Import or buy services from outside of Canada
    Include services received virtually and in person.
    e.g., software, cloud services, legal services, environmental services, architectural services, digital advertising
  • Relocate any business or organizational activities or employees from another country into Canada
    Exclude temporary foreign workers.
  • Relocate any business or organizational activities or employees from Canada to another country
  • Engage in other international business or organizational activities
  • OR
  • None of the above

4. Over the next three months, how are each of the following expected to change for this business or organization?

Exclude seasonal factors or conditions.

  • Number of employees
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Vacant positions
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Sales of goods or services offered by this business or organization
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Selling price of goods or services offered by this business or organization
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Demand for goods or services offered by this business or organization
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Imports of goods or services
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Exports of goods or services
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Operating income
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Operating expenses
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Profitability
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Cash reserves
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Capital expenditures
    e.g., machinery, equipment
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Training expenditures
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Marketing and advertising budget
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know
  • Expenditures in research and development
    • Increase
    • Stay about the same
    • Decrease
    • Not applicable
    • Don’t know

Business or organization obstacles

5. Over the next three months, which of the following are expected to be obstacles for this business or organization?

Select all that apply.

  • Shortage of labour force
  • Recruiting skilled employees
  • Retaining skilled employees
  • Shortage of space or equipment
  • Rising cost of inputs
    An input is an economic resource used in a firm’s production process.
    e.g., labour, capital, energy and raw materials
  • Rising costs in real estate, leasing or property taxes
  • Rising inflation
  • Rising interest rates and debt costs
    e.g., borrowing fees, interest payments
  • Difficulty acquiring inputs, products or supplies from within Canada
  • Difficulty acquiring inputs, products or supplies from abroad
  • Maintaining inventory levels
  • Insufficient demand for goods or services offered
  • Fluctuations in consumer demand
  • Attracting new or returning customers
  • Lack of financial resources
  • Technological limitations
  • Regulatory constraints
  • Cost of insurance
  • Transportation costs
  • Obtaining financing
  • Increasing competition
  • Challenges related to exporting or selling goods and services to customers in other provinces or territories
  • Challenges related to exporting or selling goods and services outside of Canada
  • Maintaining sufficient cash flow or managing debt
  • Other obstacle
    • Specify other obstacle:
  • OR
  • None of the above

Flow condition: If at least two obstacles are selected in Q5, go to Q6. Otherwise, go to Q7.

Display condition: Display in Q6 the obstacles selected in Q5.

6. Of the obstacles selected in the previous question, which obstacle is expected to be the most challenging over the next three months?

  • Shortage of labour force
  • Recruiting skilled employees
  • Retaining skilled employees
  • Shortage of space or equipment
  • Rising cost of inputs
    An input is an economic resource used in a firm’s production process.
    e.g., labour, capital, energy and raw materials
  • Rising costs in real estate, leasing or property taxes
  • Rising inflation
  • Rising interest rates and debt costs
    e.g., borrowing fees, interest payments
  • Difficulty acquiring inputs, products or supplies from within Canada
  • Difficulty acquiring inputs, products or supplies from abroad
  • Maintaining inventory levels
  • Insufficient demand for goods or services offered
  • Fluctuations in consumer demand
  • Attracting new or returning customers
  • Lack of financial resources
  • Technological limitations
  • Regulatory constraints
  • Cost of insurance
  • Transportation costs
  • Obtaining financing
  • Increasing competition
  • Challenges related to exporting or selling goods and services to customers in other provinces or territories
  • Challenges related to exporting or selling goods and services outside of Canada
  • Maintaining sufficient cash flow or managing debt
  • Other obstacle

Flow condition: If “Difficulty acquiring inputs, products or supplies from within Canada”, “Difficulty acquiring inputs, products or supplies from abroad”, or “Maintaining inventory levels” is selected in Q5, go to Q7. Otherwise, go to Q10.

Display condition: If “Difficulty acquiring inputs, products or supplies from within Canada”, “Difficulty acquiring inputs, products or supplies from abroad”, or “Maintaining inventory levels” is selected in Q5, display in Q7.

Supply chain challenges

7. How long does this business or organization expect the following to continue to be an obstacle?

  • Difficulty acquiring inputs, products or supplies from within Canada
    • Less than 3 months
    • 3 months to less than 6 months
    • 6 months to less than 12 months
    • 12 months or more
    • Don’t know
  • Difficulty acquiring inputs, products or supplies from abroad
    • Less than 3 months
    • 3 months to less than 6 months
    • 6 months to less than 12 months
    • 12 months or more
    • Don’t know
  • Maintaining inventory levels
    • Less than 3 months
    • 3 months to less than 6 months
    • 6 months to less than 12 months
    • 12 months or more
    • Don’t know

8. Over the last three months, how have supply chain challenges experienced by this business or organization changed?

Supply chain challenges include difficulty acquiring inputs, products or supplies from within Canada or abroad and difficulty maintaining inventory levels.

Exclude seasonal factors or conditions.

  • Supply chain challenges have worsened
    • Which of the following factors have contributed to these challenges?
      Select all that apply.
      • Increased prices of inputs, products or supplies
      • Increased delays in deliveries of inputs, products or supplies
      • Supply shortages resulted in fewer inputs, products or supplies being available
      • Supply shortages resulted in no inputs, products or supplies available
      • Other factor
        • Specify other factor:
      • OR
      • Don’t know
  • Supply chain challenges have remained about the same
  • Supply chain challenges have improved

9. Over the next three months, how does this business or organization expect supply chain challenges to change?

Supply chain challenges include difficulty acquiring inputs, products or supplies from within Canada or abroad and difficulty maintaining inventory levels.

Exclude seasonal factors or conditions.

  • Supply chain challenges are expected to worsen
  • Supply chain challenges are expected to remain about the same
  • Supply chain challenges are expected to improve

Flow condition: If “Government agency” was selected in Q1, go to Q11. Otherwise, go to Q10.

Display condition: If “Non-profit organization” is selected in Q1, do not display “Transfer the business” or “Sell the business” in Q10.

Expectations for the next year

10. Over the next 12 months, does this business or organization plan to do any of the following?

Select all that apply.

  • Expand current location of this business or organization
  • Expand operations of this business or organization internationally
  • Expand operations of this business or organization into a new province or territory within Canada
  • Move operations of this business or organization to another location within the province or territory
  • Move operations of this business or organization to another province or territory within Canada entirely
  • Expand this business or organization to other locations within the same province or territory
  • Expand this business or organization without increasing physical space
    i.e., hiring more staff who will work remotely, or expanding online sales capacity
  • Restructure this business or organization
    Restructuring involves changing the financial, operational, legal or other structures of the business or organization to make it more efficient or more profitable.
  • Acquire other businesses, organizations or franchises
  • Invest in other businesses or organizations
  • Merge with other businesses or organizations
  • Reduce the physical space of this business or organization
  • Scale down operations of this business or organization to within a single province or territory within Canada
  • Transfer the business
  • Sell the business
  • OR
  • Close the business or organization
  • OR
  • Don’t know
  • OR
  • None of the above

Growth

11. Over the next three years, what is the expected average yearly revenue growth for this business or organization?

Please provide your best estimate.

Round yearly growth to the nearest whole number.

The next three years refer to 2024, 2025, and 2026.

  • Less than 0%
    i.e., negative revenue growth
  • 0%
    i.e., no growth
    • Why is this business or organization not expecting any growth?
      Select all that apply.
      • Satisfied with current level of revenue
      • Don't think economic environment can support significant growth
      • Intense competition
      • Challenging to hire staff
      • Other reason
        • Specify other reason:
      • OR
      • Don’t know
  • Between 1% and 5% per year
  • Between 6% and 10% per year
  • Between 11% and 15% per year
  • Between 16% and 19% per year
  • 20% or more per year
  • Not applicable
    • i.e., this business or organization will not exist
  • Don't know

Canada Emergency Business Account (CEBA)

12. Did this business or organization receive a repayable loan from the Canada Emergency Business Account (CEBA)?

The CEBA program offered interest-free loans of up to $60,000 to small businesses and not-for-profits.

  • Yes
  • No
  • Don't know

Flow condition: If “Yes” is selected in Q12, go to Q13. Otherwise, go to Q15.

13. Has the Canada Emergency Business Account (CEBA) loan been paid back fully by this business or organization?

  • Yes
    • Which of the following sources were used to repay the CEBA loan?
      Select all that apply.
      • Business credit from financial institutions
        e.g., CEBA refinancing product, business loans, lines of credit and credit cards from financial institutions such as chartered banks, caisses populaires or credit unions
      • Funds from within the business or organization
        e.g., business or organization profits or assets
      • Personal financing
        e.g., personal loans, lines of credit or credit cards from financial institutions
      • Personal savings of the owner
      • Other source
        • Specify other source:
    • OR
    • Don’t know
  • No
    • Does this business or organization anticipate having the liquidity available or the access to credit to repay the CEBA loan by December 31, 2026?
      • Yes
      • No
      • Don't know
  • Don't know

Flow condition: If “Yes, the CEBA loan has been paid back fully” is selected in Q13, go to Q14. Otherwise, go to Q15.

14. Did this business or organization receive partial debt forgiveness on its Canada Emergency Business Account (CEBA) loan?

Partial debt forgiveness: For eligible CEBA recipients, if the outstanding principal, other than the amount of potential debt forgiveness (up to $20,000), was repaid on or before January 18, 2024 (or March 28, 2024, if the business submitted a refinancing loan application to the financial institution that provided their CEBA loan on or before January 18, 2024), the remaining principal amount is forgiven.

  • Yes
    • Did this business or organization apply to refinance its CEBA loan at the same financial institution that originally provided its CEBA loan by January 18, 2024?
      • Yes
      • No
      • Don't know
  • No
  • Don't know

Flow condition: If business or organization is in NAICS 11, 21, 23, 31, 33, 41, 44, or 45 AND was first established in 2020 or earlier, or if “3 to 10 years ago”, “11 to 20 years ago”, “More than 20 years ago” or “Don’t know” in Q2, go to Q15. Otherwise, go to Q18.

Total sales revenue and inventory

15. Which of the following best describes this business’s or organization’s current level of total sales revenue compared to its pre-pandemic level of total sales revenue?

  • Total sales revenue is currently significantly higher than pre-pandemic levels
  • Total sales revenue is currently somewhat higher than pre-pandemic levels
  • Total sales revenue is currently about the same as pre-pandemic levels
  • Total sales revenue is currently somewhat lower than pre-pandemic levels
  • Total sales revenue is currently significantly lower than pre-pandemic levels
  • Don't know

16. Which of the following best describes this business’s or organization’s current inventory levels compared to its pre-pandemic inventory levels?

  • Inventory levels are currently significantly higher than pre-pandemic levels
  • Inventory levels are currently somewhat higher than pre-pandemic levels
  • Inventory levels are currently about the same as pre-pandemic levels
  • Inventory levels are currently somewhat lower than pre-pandemic levels
  • Inventory levels are currently significantly lower than pre-pandemic levels
  • Don't know

17. Which of the following best describes this business’s or organization’s current approach to holding inventory compared to pre-pandemic?

  • Currently keeping higher inventory levels compared to pre-pandemic
  • Currently keeping roughly similar inventory levels compared to pre-pandemic
  • Currently keeping lower inventory levels compared to pre-pandemic
  • Don't know

Flow condition: If business or organization is in NAICS 11, 21,23, 31, 32, 33, 41, 44, or 45, go to Q18. Otherwise, go to Q20.

Inventory level

18. Which of the following best describes the current level of inventories held by this business or organization?

  • Current level of inventories held is much higher than desired
  • Current level of inventories held is higher than desired
  • Current level of inventories held is at the desired level
  • Current level of inventories held is lower than desired
  • Current level of inventories held is much lower than desired
  • Don't know

Flow condition: If “Current levels of inventories held is lower than desired” or “Current levels of inventories held is much lower than desired” is selected in Q18, go to Q19. Otherwise, go to Q20.

19. Which of the following factors contribute to the lower than desired level of inventories currently held by this business or organization?

Select all that apply.

  • Plant closures
  • Port closures
  • Labour shortages
  • Warehouse or supplier shortage
  • Weather conditions or natural events
  • Transport strikes
  • Delay in timely deliveries
  • High cost of maintenance
  • Other factor
    • Specify other factor:
  • OR
  • Don’t know

Regulated occupations

20. Over the last three years, has this business or organization hired any employees in regulated occupations?

An employee is someone who would be issued a T4 from this business or organization. This excludes business owners, contract workers and other personnel who would not be issued a T4.

Regulated occupations require a licence or certificate to work in Canada.
e.g., accountants, architects, carpenters, engineers, physicians, electricians, nurses, teachers, welders, social workers, lawyers

  • Yes
    • Among these employees hired in regulated occupations, did any have foreign credentials which required formal recognition?
      Foreign credential recognition is the process of verifying that the education and job experience obtained in another country are equal to the standards established for Canadian professionals.
      • Yes
      • No
      • Don't know
  • No
  • Don't know

Flow condition: If “Yes, business or organization hired employees in regulated occupations” and “No, these employees did not have any foreign credentials which required formal recognition” were both selected in Q20, go to Q21. Otherwise, go to Q22.

21. Has this business or organization not hired any employees with foreign credentials for any of the following reasons?

Select all that apply.

  • Have not had a foreign trained applicant in the last three years
  • Preference for hiring locally educated or locally trained individuals
  • Uncertain about credibility of foreign credential recognition process results
  • Uncertain about complexity and related costs of the foreign credential recognition process
  • Other reason
    • Specify other reason:
  • OR
  • Don’t know

Cybersecurity

22. Over the next 12 months, does this business or organization plan to take any new or additional cybersecurity actions?

Cybersecurity actions include:

  • managing, monitoring, evaluating or improving the security of business networks, web presence, e-mail systems or devices;
  • patching or updating the software or operating systems used by the business or organization for security reasons;
  • completing tasks related to recovery from previous cyber security incidents.
  • Yes
  • No
    • What is the primary reason this business or organization does not plan to take any new or additional cybersecurity actions?
      • This business or organization does not need cybersecurity measures
      • This business or organization does not have the necessary financial resources
      • This business or organization has already implemented any necessary cybersecurity actions
      • Other reason
        • Specify other reason:
  • Don’t know

Flow condition: If “This business or organization does not need cybersecurity measures” is selected in Q22, go to Q24. Otherwise, go to Q23.

23. Does this business or organization have a dedicated cybersecurity budget?

  • Yes
  • No
  • Don’t know

24. In the last 12 months, has this business or organization lost a contract due to cybersecurity requirements that could not be met?

  • Yes
  • No
  • Don’t know

25. In the last 12 months, has this business or organization removed a business from its supply chain due to cybersecurity concerns?

  • Yes
  • No
  • Don’t know

Ransomware

26. Over the last 12 months, was this business or organization impacted by ransomware incidents?

Ransomware is a type of malware that restricts access to your computer or your files and displays a message that demands payment for the restriction to be removed.

  • Yes
    • Did this business or organization pay the ransom?
      • Yes
      • No
      • Don’t know
  • No
  • Don’t know

Artificial intelligence (AI)

27. Over the next 12 months, does this business or organization plan to use artificial intelligence (AI) in producing goods or delivering services?

e.g., machine learning, virtual agents, voice recognition

  • Yes
    • What types of AI applications is this business or organization planning to use in producing goods or delivering services?

      Select all that apply.

      • Machine learning
      • Natural language processing
      • Virtual agents or chat bots
      • Speech or voice recognition using AI
      • Recommendation systems based on AI
      • Large language models
      • Text analytics using AI
      • Data analytics using AI
      • Neural networks
      • Augmented reality
      • Decision making systems based on AI
      • Deep learning
      • Image or pattern recognition
      • Machine or computer vision
      • Robotics process automation
      • Biometrics
      • Marketing automation using AI
      • Other type
        • Specify other type:
      • OR
      • Don’t know
  • No
    • Why does this business or organization not plan to use AI in producing goods or delivering services over the next 12 months?

      Select all that apply.

      • Too expensive
      • AI is not a mature enough technology yet
      • Lack of knowledge on the capabilities of AI
      • Concerns about privacy or security
      • Concerns about bias
      • Lack of skilled workforce
      • Lack of required data
      • Laws and regulations prevent or restrict use of AI
      • Previous or current use of AI did not meet expectations
      • Other reason
        • Specify other reason:
      • OR
      • AI is not relevant to the goods produced or services delivered by this business or organization
      • OR
      • Don’t know
  • Don’t know

Flow condition: If “Yes” was selected in Q27, go to Q28. Otherwise, go to Q30.

28. How does this business or organization expect AI to affect total employment?

  • Increase
  • Decrease
  • No change
  • Don’t know

29. Which of the following changes will this business or organization make when using AI to produce goods or deliver services?

Select all that apply.

  • Train current staff to use AI
  • Hire staff trained in AI
  • Purchase computing power or specialized equipment
  • Purchase cloud services or cloud storage
  • Change data collection or data management practices
  • Develop new workflows
  • Use vendors or consulting services to install or integrate AI
  • Other change
    • Specify other change:
  • OR
  • Don’t know
  • OR
  • None of the above

Environmental activities

30. Which of the following environmental practices does this business or organization have currently in place?

Select all that apply.

  • Reducing waste
  • Reducing air pollution
  • Reducing energy
    e.g., sensor lights, LED lights
  • Reducing water consumption
    e.g., automated faucets
  • Encouraging employees to adopt environmentally friendly practices
    e.g., teleworking, using public transit, recycling
  • Using recycled or waste materials as inputs
  • Implement green processes
    e.g., reduce transportation impacts and building impacts
  • Using one or more clean energy sources
    e.g., hydroelectricity, solar, wind
  • Choosing suppliers based on their environmentally responsible practices or products
  • Designing products or services to have a minimal impact on the environment
    e.g., eco-design that considers the product’s lifecycle
    Performing carbon sequestration activities
    e.g., planting trees, purchasing carbon credits
  • Have a greenhouse gas (GHG) emissions reduction plan or a GHG emissions reduction target
  • Measuring the business’s or organization’s environmental footprint
  • Obtaining or maintaining one or more eco-responsible certifications
  • Being zero waste
  • Having a written environmental policy
  • Hiring an external auditor to evaluate the business’s or organization’s environmental practices
  • Other environmental practices
  • OR
  • None of the above

Flow condition: If all of “Reducing waste” to “Other environmental practices” in Q30 is selected, go to Q32. Otherwise, go to Q31.
Display condition: Display in Q31, what is not selected in Q30, from “Reducing waste” to “Other environmental practices”.

31. Which of the following environmental practices does this business or organization plan to implement over the next 12 months?

Select all that apply.

  • Reducing waste
  • Reducing air pollution
  • Reducing energy
    e.g., sensor lights, LED lights
  • Reducing water consumption
    e.g., automated faucets
  • Encouraging employees to adopt environmentally friendly practices
    e.g., teleworking, using public transit, recycling
  • Using recycled or waste materials as inputs
  • Implement green processes
    e.g., reduce transportation impacts and building impacts
  • Using one or more clean energy sources
    e.g., hydroelectricity, solar, wind
  • Choosing suppliers based on their environmentally responsible practices or products
  • Designing products or services to have a minimal impact on the environment
    e.g., eco-design that considers the product’s lifecycle
  • Performing carbon sequestration activities
    e.g., planting trees, purchasing carbon credits
  • Have a greenhouse gas (GHG) emissions reduction plan or a GHG emissions reduction target
  • Measuring the business’s or organization’s environmental footprint
  • Obtaining or maintaining one or more eco-responsible certifications
  • Being zero waste
  • Having a written environmental policy
  • Hiring an external auditor to evaluate the business’s or organization’s environmental practices
  • Other environmental practices
  • OR
  • None of the above

Liquidity

32. Does this business or organization have the cash or liquid assets required to operate for the next three months?

  • Yes
  • No
    • Will this business or organization be able to acquire the cash or liquid assets required?
      • Yes
      • No
      • Don’t know
  • Don’t know

Debt

33. Over the next three months, does this business or organization plan to apply to a financial institution for a new line of credit, a new term loan, a new non-residential mortgage, or refinancing of an existing non-residential mortgage?

Include commercial mortgages.
Exclude residential mortgages.

  • Yes
  • No
    • Does this business or organization have the ability to take on more debt?
      Answer based on this business’s or organization’s ability, even if there are no plans to take on more debt.
      • Yes
      • No
        • For which of the following reasons is this business or organization unable to take on more debt?
          Select all that apply.
          • Cash flow
          • Lack of confidence or uncertainty in future sales
          • Request would be turned down
          • Too difficult or time consuming to apply
          • Interest rates are unfavourable
          • Payment terms are unfavourable
          • Credit rating
          • Other reason
            • Specify other reason:
          • OR
          • Not applicable
          • OR
          • Don’t know
      • Don’t know
  • Don’t know

34. Over the next three months, how confident is this business or organization in its ability to make its debt payments in full and on time?

Include payments related to a line of credit, term loan or non-residential mortgage.

  • Very confident
  • Somewhat confident
  • Moderately confident
  • Not very confident
  • Not at all confident
  • Don't know

Working arrangements

35. Over the next three months, what percentage of the employees of this business or organization is anticipated to work on-site or work remotely?

Exclude employees that are primarily engaged in providing driving or delivery services or employees that primarily work at client premises, and contractors.

Working on-site refers to working from an office or job site, while working remotely refers to an employee working from home or another location of the employee’s choosing, other than their regular on-site location.

Provide your best estimate rounded to the nearest percentage.

If the percentages are unknown, leave the question blank.

  1. Work on-site exclusively
    Percentage of employees:
  2. Work on-site most hours
    Percentage of employees:
  3. Work approximately the same number of hours on-site and remotely
    Percentage of employees:
  4. Work remotely most hours
    Percentage of employees:
  5. Work remotely exclusively
    Percentage of employees:

36. Over the next 12 months, what is the future outlook for this business or organization?

  • Very optimistic
  • Somewhat optimistic
  • Somewhat pessimistic
  • Very pessimistic
  • Don’t know

Flow condition: If “Private sector business” is selected in Q1, go to Q37. Otherwise, go to “Contact person”.

Ownership

(i) The groups identified within the following questions are included in order to gain a better understanding of businesses owned by members of various communities across Canada.

37. What percentage of this business or organization is owned by each of the following groups?

Provide your best estimate rounded to the nearest percentage.
If the business or organization is not owned by anyone that falls under that group, please enter “0”.

What percentage of this business or organization is owned by women?
Percentage of business or organization owned by women:
OR
Prefer not to say
OR
Don’t know

What percentage of this business or organization is owned by First Nations, Métis or Inuit peoples?
Percentage of business or organization owned by First Nations, Métis or Inuit peoples:
OR
Prefer not to say
OR
Don’t know

What percentage of this business or organization is owned by immigrants to Canada?
Percentage of business or organization owned by immigrants to Canada:
OR
Prefer not to say
OR
Don’t know

What percentage of this business or organization is owned by persons with a disability?
Percentage of business or organization owned by persons with a disability:
OR
Prefer not to say
OR
Don’t know

What percentage of this business or organization is owned by lesbian, gay, bisexual, transgender, queer, or two-spirited (LGBTQ2) people?
Percentage of business or organization owned by LGBTQ2 people:
OR
Prefer not to say
OR
Don’t know

What percentage of this business or organization is owned by members of visible minorities?
A member of a visible minority in Canada may be defined as someone (other than an Indigenous person) who is non-white in colour or race, regardless of place of birth.
Percentage of business or organization owned by visible minorities:
OR
Prefer not to say
OR
Don’t know

Flow condition: If more than 50% of this business or organization is owned by members of visible minorities, go to Q38. Otherwise, go to “Contact person”.

38. It was indicated that at least 51% of this business or organization is owned by members of visible minorities. Please select the categories that describe the owner or owners.

Select all that apply.

  • South Asian
    e.g., East Indian, Pakistani, Sri Lankan
  • Chinese
  • Black
  • Filipino
  • Latin American
  • Arab
  • Southeast Asian
    e.g., Vietnamese, Cambodian, Laotian, Thai
  • West Asian
  • e.g., Afghan, Iranian
  • Korean
  • Japanese
  • Other group
    • Specify other group:
  • OR
  • Prefer not to say

Report and Draft Recommendations - Results of the Consultative Engagement on the Visible Minority Concept

Diversity and Sociocultural Statistics
Statistics Canada

Contents

Part 1: Introduction

1.1. Background

Canada is known for its ethnocultural and religious diversity, which is reflected in the data collected through a national census since 1871. Considering the changing and complex nature of diversity in the country, Statistics Canada has conducted extensive engagement and research to improve the collection and measurement of the ethnocultural and religious diversity of the population and the terminology used to describe it.

The term "visible minority" was first coined by African-Canadian activist Kay Livingstone in 1975, who notably worked to organize a national conference of visible minority women. The term became an organizing tool to challenge unfair institutional practices in education, policing and immigration, and it was soon picked up in the media.Footnote 1 The term gained further recognition when it was used by Justice Rosalie Silberman Abella in her report for the federal Royal Commission on Equality in Employment (1984).Footnote 2 The document explored the systemic barriers that had, "whether by design or impact, the effect of limiting an individual's or a group's right to the opportunities generally available because of attributed rather than actual characteristics."Footnote 3 Abella identified four groups that would require targeted policy measures for employment equity, notably women, Indigenous peoples, people with disabilities and visible minorities. She contended that addressing the systemic barriers experienced by "visible minorities, (…) must begin with an attack on racism."Footnote 4

The report led to the adoption of the Employment Equity Act (EEA) in 1985, which defined visible minorities as "persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour." The law was amended in 1996, but the definition for visible minority remains in effect to this day.

An interdepartmental working group led by the Labour Program at Employment and Social Development Canada (then called Employment and Immigration Canada) was tasked with developing a statistical program. To comply with the EEA, Statistics Canada was mandated to provide benchmarking data, which is collected through the national census. Groups designated as "visible minorities" were identified in 1987 by Employment and Immigration Canada and included in Employment Equity: Technical reference papers. They included, among others, South Asian, Chinese, Black, Filipino, Arab, Latin American, Southeast Asian, West Asian, Korean and Japanese.

Canadian society has evolved since the 1980s, and so have data needs. While data on visible minorities were specifically collected for the EEA, these data are also relevant for developing policies to fight racism and discrimination and to provide equal opportunities for all. They are currently used by governments, businesses, communities, health care providers, researchers and various organizations across the country.

In recent years, Statistics Canada has received feedback on the use of the term "visible minority" when disseminating data, and various stakeholders are calling for the agency to retire this term. There is also a growing demand for more detailed data on the population groups currently designated as "visible minorities" to highlight the diversity of these populations. In other words, policy and program development increasingly requires information on the different groups that make up the visible minority population.

At the same time, many data users have stressed the importance of comparability between census cycles and different data sources, as this might be affected if the census question is changed. These considerations should be taken into account when revising the current standard.

Over time, Statistics Canada has explored various ways of presenting relevant data that reflect the diversity of the population. One approach is to present data on distinct population groups and avoid presenting data on visible minorities as a whole. Furthermore, the agency is increasingly providing intersectional data and analyses to further break down population groups by ethnicity, religious affiliation, place of birth, generation status, language, gender and sexual orientation.

Several factors must be considered when changing or updating a statistical standard used with the census. These include legislative changes, new data needs, findings from consultative engagements, and the results of robust testing to assess the effect of changes to terminology and categories.

In the case of revising the visible minority standard, future amendments to the EEA should be factored in. The EEA Review Task Force (EEARTF) was established in 2021 with a mandate to review the EEA and advise the Minister of Labour on how to modernize and strengthen the federal equity framework.Footnote 5 The final report was published in December 2023, along with recommendations.Footnote 6 While Statistics Canada is catering to a vast array of stakeholders and recognizes the need to provide data that are well adapted to a range of purposes beyond employment equity, the specific recommendations of the EEARTF will be taken into serious consideration.

Furthermore, data standards used in the national census are developed to work adequately across a wide range of demographics throughout Canada, respecting the highest standards of data quality and confidentiality. The gaps in population characteristics between provinces, notable differences between rural and urban areas, and the requirements to produce and define data in both official languages pose challenges in revisiting the visible minority standard.

Statistics Canada is currently testing different options to update the visible minority data standard in preparation for the 2026 Census. In addition to this targeted engagement initiative, additional consultations were held regarding the content of the previous census (2026 Census of Population Content Consultation). This feedback was reflected in the approaches for the 2024 Census Test. Results of the census test will be used to provide recommendations for the final content included in the 2026 Census questionnaire. While Statistics Canada is following the census timeline, the overall objective is to determine the agency standard that can be used beyond the census, notably in various surveys and in other federal, provincial and municipal departments.

1.2. The engagement initiative

Statistics Canada has committed to consulting with partners, stakeholders and the general public to establish suitable terminology for describing the population, review the categories to reflect its increasing diversity, and offer adequate and flexible ways to present the data for a wide range of purposes.

Over the past several years, there has been a continuous effort to interact with data users on ethnocultural data through informal discussions with government and community stakeholders. Additionally, a focused engagement with government stakeholders took place in the spring of 2021, complemented by the establishment of the Expert Advisory Committee on Immigration and Ethnocultural Statistics.

These initiatives are led in parallel to an extensive consultation program that allows data users and interested parties across Canada to share their views on both the content and dissemination strategy of the Census. The report to the 2026 Census of population content consultation was published in May 2024.

To refine the focus on the visible minority standard and broaden the discourse to include a diverse array of stakeholders, Statistics Canada initiated a consultative engagement on the visible minority concept in October 2022 (Visible minority concept consultative engagement). The aim of this consultation was to solicit input on the visible minority data standard from a wide spectrum of participants, including data users; representatives of civil society organizations; government entities at the federal, provincial and local levels; academics; researchers; and all other interested parties, such as the general public. A range of activities was planned, comprising targeted meetings, two phases of discussion groups and a publicly accessible feedback form. The overarching goal was to leverage this collective input in proposing modifications to the visible minority standard in preparation for the 2026 Census.

The consultation was publicized through public announcements on the Statistics Canada web page and social media outlets. The announcements listed the types of input sought, provided a timeline for the consultation, and gave contact information for interested parties to make submissions or reach out to Statistics Canada with questions and comments.

In addition, stakeholders and partners, including civil society organizations and a number of researchers in the field of ethnocultural diversity, were invited by email to participate and were encouraged to share the consultation invitation with others within their network. Interested parties were invited to participate in group discussions and to submit written proposals to Statistics Canada.

The engagement focused on various aspects of the visible minority standard, notably the terminology used for dissemination, the categories, the purpose of the data, and the derivation of responses leading to the final data dissemination.

1.2.1 Activities

The engagement took place from October 2022 to November 2023. In the fall of 2022, Statistics Canada organized discussion groups comprising academics and key stakeholders in federal and provincial governments. This activity gathered 48 participants.

In May 2023, Statistics Canada organized virtual information sessions with representatives from various federal departments to share preliminary results from the engagement and to collect feedback. This activity gathered 178 participants, who were also invited to share feedback through an online form. Over 70 submissions were received.

A second phase of discussion groups was held in June 2023 to collect feedback from representatives of organizations involved in equity, diversity and inclusion initiatives, including various not-for-profit organizations supporting diverse communities. This activity gathered 57 participants.

Finally, early findings were shared with the general public in November 2023 and promoted on various social media platforms. At that time, any interested party was invited to provide feedback on these preliminary results, informing the conclusions and recommendations of the current report. Statistics Canada received over 200 responses.

In sum, over 500 people participated in the engagement activities, including academics; representatives from federal, provincial and municipal governments; not-for-profit organizations; community-based organizations; and the general public.

1.2.2 Topics

Terminology

The United Nations (UN) Committee on the Elimination of Racial Discrimination has called on Canada (in 2007, 2012 and 2017 (International Convention on the Elimination of All Forms of Racial Discrimination)) to reconsider using the term "visible minority." The committee stated that the term's "lack of precision may pose a barrier to effectively addressing the socio-economic gaps of different ethnic groups." The UN Independent Expert on Minority Issues (Statement by the United Nations Independent Expert on minority issues, Ms Gay McDougall, on the conclusion of her official visit to Canada) has also stated that Canada's use of the term "has served to obscure and dilute the differences and distinct experiences of diverse minority groups." The UN Working Group of Experts on People of African Descent (Statement to the media by the United Nations’ Working Group of Experts on People of African Descent, on the conclusion of its official visit to Canada, 17-21 October 2016) has expressed similar concerns. While some of these considerations were addressed when data were presented for distinct groups that make up the visible minority population, the term itself continues to be criticized by many stakeholders.

As previously mentioned, the Government of Canada announced in 2021 the creation of a task force to review the EEA (Government of Canada launches Task Force to review the Employment Equity Act). The terms of reference recognized some challenges to the federal employment equity framework, including renewed attention to systemic racism and "calls by stakeholders to retire the term 'visible minorities' and rethink the category."Footnote 7 In its final report, the task force recommended replacing the term "visible minority" with "racialized worker," noting that "the language of 'visible minority' has been almost universally criticized, and the task force received substantial requests to have it changed."Footnote 8 However, while the term "visible minority" is vastly criticized, the results of the current consultative engagement suggest that there is no consensus regarding the most appropriate term with which to replace it.

Categories

Is this person:

Mark "x" more than one circle or specify, if applicable.

  • White
  • South Asian (e.g., East Indian, Pakistani, Sri Lankan)
  • Chinese
  • Black
  • Filipino
  • Arab
  • Latin American
  • Southeast Asian (e.g., Vietnamese, Cambodian, Laotian, Thai)
  • West Asian (e.g., Iranian, Afghan)
  • Korean
  • Japanese
  • Other group — specify:

As previously mentioned, the current categories (Classification of visible minority) were listed in Employment Equity: Technical reference papers (1987) by Employment and Immigration Canada. While minor changes were made over the years, the categories remained mostly intact to keep comparability between census cycles.

In recent years, various stakeholders have proposed changing the response categories to ensure their coherence, collect more granular data or meet the data needs of specific communities.Footnote 9 In the end, different data users have different data needs, and no single list of categories can meet everyone's expectations.

Some stakeholders have pointed out that the current list overrepresents certain groups. For instance, some proposed reducing the number of groups to combine the "Chinese," "Korean" and "Japanese" categories into an "East Asian" category, or to include the "Filipino" category in the "Southeast Asian" category. Another common proposition was to combine the "Arab" and "West Asian" categories into a "Middle Eastern" category. Furthermore, combining categories appears preferable to some data users when the survey sample prevents the presentation of data for smaller groups.

Also, according to employment equity definitions, Indigenous peoples and visible minorities are mutually exclusive equity-deserving groups. Therefore, to avoid response burden, people who identify as Indigenous in the census and in other Statistics Canada surveys have been counted as part of the "non-visible minority" population and skip the census question altogether. Many stakeholders have mentioned that a considerable number of Indigenous people are of mixed background (i.e., Indigenous and non-Indigenous) and that this important dimension of Indigenous identity should be reflected in the data.

One final consideration is that there is currently no single definition or recommended classification for measuring ethnocultural characteristics at the international level.Footnote 10 Rather, approaches and criteria vary widely between countries. The choice of terms and classifications depends on various factors, reflecting historical and political developments and legislative requirements specific to each country.

Purpose of the data

The primary objective of the data on visible minorities collected in the Canadian census is to provide benchmarks to meet the requirements of the EEA. That said, data on visible minorities also support anti-racism strategy programs and the measurement of equity and diversity in the labour, social, health, education and justice fields.

Given the recent initiatives by federalFootnote 11 and provincialFootnote 12 governments to develop anti-racism programs and legislation, stakeholders are increasingly expressing their need for race-based data. While the EEA defines visible minorities as people "other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour," the data collected and disseminated in the census and in other surveys extend beyond racial groups (e.g., Black, White) to include ethnic (e.g., Arab, Latin American), region-based (e.g., South Asian, West Asian) and country-based (e.g., Chinese, Filipino, Korean) groups.

During the current consultative engagement, Statistics Canada gathered feedback on the data needs of participants beyond employment equity to evaluate how the future standard could be more adaptable to various research purposes, including anti-racism, health, education and justice.

Presenting the data

  • Total visible minority population
    • South Asian
    • Chinese
    • Black
    • Filipino
    • Arab
    • Latin American
    • Southeast Asian
    • West Asian
    • Korean
    • Japanese
    • Visible minority, not included elsewhere
    • Multiple visible minorities
  • Not a visible minority

The current approach to presenting the data on visible minorities collected in the census is to derive each respondent in one group, even when they select more than one category (for more information on the derivation method, see Visible minority of person). For instance, a respondent identifying as a Black and White person is included only in the "Black" population category, and a respondent identifying as a Black and Chinese person is included in the "multiple visible minorities" population category. This approach has been criticized by some stakeholders, and alternative options were presented to participants during the consultative engagement.

Another issue is that data on visible minorities divide the population into large categories that do not reflect the diversity of groups (e.g., Black, Latin American, South Asian). Statistics Canada sought feedback on options to provide more granular and flexible data to users and communities.

While the visible minority variable has been the most commonly disseminated variable from the census question since 1996, more detailed data are available through the population group variableFootnote 13 contrast to the visible minority variable, the population group variable provides data that more closely match the responses provided by respondents on the census questionnaire, including single and multiple responses. This variable includes 12 single-response categories, counting respondents who reported a single population group. Additionally, it presents a large number of multiple-response categories (67 in total), corresponding to each of the possible combinations of two population groups (e.g., "White and South Asian," "Chinese and Black"). Finally, it includes categories for those who reported three or more population groups ("White and multiple population groups" and "multiple population groups, not included elsewhere"). However, while these data offer granular detail on multiple responses, they are not always suitable for analytical purposes because of the large number of categories.

Part 2: Findings and draft recommendations

Topic 1: Terminology

During the consultative engagement, various terms were presented to participants as potential substitutes for "visible minority," including "racialized group," "population group," "Black, Indigenous and People of Colour," and "ethnocultural group." These terms were presented because they were most frequently reported by various stakeholders before the engagement. No clear consensus emerged from participants, and various considerations were raised.

Several participants preferred the term "racialized group" to replace "visible minority." They noted that the term "racialized" is already used by various federal departments, by provincial and municipal governments, and in the media. They also argued that the term more accurately presents race as a social construct by emphasizing the process of racialization.

However, the term "racialized" was also the most controversial option. Many participants were offended when they were described as belonging to a racialized group. Furthermore, most francophone participants did not think that Statistics Canada should adopt race-based terminology because it is more generally considered to be offensive in French. Regardless of their official language, many participants felt that labelling all non-White people as "racialized" reinforces the White population as the dominant group. Finally, participants also noted the various definitions of "racialization" related to skin colour, culture, religion, ethnicity, language, etc. currently in use.

"Population group" was the second most preferred term. Participants argued that it is sufficiently broad and flexible to apply to a number of situations and to be defined differently according to the needs of different organizations and programs. It was also considered to be a more neutral term that would likely have a longer lifespan, considering the sensitivity of this topic. Participants also noted that the term could include the White population, without making this population either the reference or the norm. On the other hand, some participants opposed this term because of its vagueness.

Recommendation on the terminology

1. Align the terminology in accordance with future amendments to the EEA

In its final report to the Minister of Labour, the EEARTF recommends changing the term "visible minority" to "racialized workers."Footnote 14 Because the EEA has enshrined the definition and terminology for data on visible minorities since the 1980s, the recommendation of the EEARTF weighs heavily in the balance. If the recommendation is adopted in a future amendment to the EEA, Statistics Canada should align its terminology and definitions to provide benchmarking data.

While the term "racialized" did not yield a consensus for a term to replace "visible minority," a majority of participants preferred the term over other options. It appears preferable because it acknowledges the effect of racialization on the lived experiences of many Canadians while emphasizing the social and subjective construction of racial categories.

Statistics Canada recognizes that using this term when referring to a specific set of groups is limiting. For instance, these data cannot encompass every group that experiences racialization based on its religion, language or ethnicity.

Also, while Indigenous peoples experience racialization in Canadian society, data on these populations should be separate from other racialized groups to reflect the mandate of the EEA. Similarly, the EEARTF has recommended separating the Black population from other racialized groups. A detailed communication plan will be developed to explain and define the new standard to the public and its relation to the terms and definitions of the EEA.

Topic 2: Groups measured (categories)

Option 1 (current list)

  • White
  • South Asian
  • Chinese
  • Black
  • Filipino
  • Arab
  • Latin American
  • Southeast Asian
  • West Asian
  • Korean
  • Japanese

Option 2 (used by various federal departments)

  • White
  • South Asian
  • East Asian
  • Black
  • Southeast Asian
  • Middle Eastern
  • Latin American

During the consultative engagement, no clear consensus emerged on a list of categories to measure groups. Some participants suggested that combining certain categories, as seen in option 2, would be more useful for anti-racism purposes because the resulting data would better reflect how others perceive individuals rather than the respondent's personal identity, which can often be quite specific.

Other participants argued that more detail is always preferable and saw no advantage in reducing the number of categories. Moreover, these participants noted that reducing the number of categories would mean that details for certain groups would be lost (e.g., Chinese, Japanese, Korean, Filipino, Arab, West Asian).

Various participants believed that Indigenous peoples should also be able to identify with a non-Indigenous group because this population is increasingly diverse.

One common criticism was that the categories on both lists are incoherent because they straddle race, ethnicity, nationality and geographical descent.

That said, most respondents felt that historical comparability is important for their data needs and were concerned with the potential effects caused by changing the categories in the questionnaire.

Most respondents believed that some categories are too broad and should be more granular. For instance, various participants expressed that the "Black" category should be further disaggregated. They contended that increased emphasis on this population is justified given the disproportionate effect of racism on Black people. Different subcategories were suggested (e.g., "Black Canadian," "Black Caribbean," "Black East African," "Black West African"). These comments were echoed for the Latin American and South Asian groups, which encompass diverse populations that should be further broken down.

Various participants were also in favour of changing the labels of certain categories, arguing that they should be more relevant and reflective of the self-perception of the concerned communities. Some participants asked to change the label "Latin American" to "Latino," "Latino or Latina," or "Latino, Latina or Latinx." The label "West Asian" was considered inapt to refer to the descendants of this region of Asia, as respondents would not necessarily recognize themselves as "West Asian." The term "Middle Eastern" was preferred, even if other participants denoted a colonial undertone in this terminology. Finally, the term "Arab" was criticized for not adequately representing non-Arab populations of North Africa (e.g., Berber, Coptic). The term "North African" is preferred.

Recommendation for groups measured (categories)

1. Modify the categories to ensure relevance while retaining comparability and data quality

Many participants in the consultative engagement voiced the opinion that categories should be modified to better reflect the diversity of the population. At the same time, most emphasized the importance of keeping historical comparability between census cycles. Meeting both these objectives requires a balanced and measured approach.

To keep historical comparability with past census cycles, the categories in the census questionnaire should remain the same until enough evidence is gathered regarding the effects of potential modifications. A testing strategy will be put in place to evaluate the effect of modifying certain categories, notably "West Asian," "Arab" and "Latin American."

That said, Statistics Canada is currently testing the removal of the "skip" between the Indigenous group and population group questions. If results are positive, Indigenous respondents would be able to identify with one or many non-Indigenous population groups, reflecting the increasing diversity of this population.

Even if the categories remain mostly intact on the questionnaire, different approaches can be adopted at the stage of presenting the data. For instance, a "White" category should be presented instead of the "not a visible minority" (or non-racialized) category. Furthermore, different variables can be created to accommodate a variety of data needs and to further disaggregate the data (see Topic 4: Presenting the data).

Topic 3: Purpose of the data

Participants expressed a wide range of applications for the data collected on visible minorities that are not reflected in the current emphasis on the EEA. Government organizations, academic researchers and community organizations use data on visible minorities in the fields of health, education and justice, and several participants use the current categories as a proxy for "race" data. For many users, data are used for benchmarking specific populations in a context where anti-racism policies are being developed by the federal government and by provincial and municipal governments.

Participants highlighted the need to provide data for a wide range of purposes. In this context, it was recognized that Statistics Canada will face challenges in meeting the needs of different data users. For instance, data users mentioned the challenges of fulfilling the mandates of anti-racism policies with the current standard given the discrimination experienced by certain religious communities (i.e., Muslim and Jewish). Consequently, Statistics Canada heard from various participants that data on religious groups are crucial to understanding the various dimensions of racialization in Canada.

Participants recognized the wealth of data collected through the national census, including data on ethnic and cultural origins, immigration, religion, and language. However, a recurring challenge is that the number of questions included in the census and other household surveys is limited.

Some data users called for Statistics Canada to develop a "race" data standard, with explicit reference to this concept in the question. They contended that Statistics Canada is evading the reality of racism by adopting euphemistic terminologies and has a duty as the national statistical agency to tackle the phenomenon of racism by providing reliable data. However, other participants believed this approach could potentially reinforce racism in society by reifying the concept of "race." As previously mentioned, this important debate is also reflected in conversations on the terminology and the categories.

Various participants questioned whether these data should reflect the respondents' perception of their identity or how they are being perceived by others in society. While self-identification is the primary purpose of the question, participants who are looking to evaluate the effects of racialization in society want the question to measure how people are being perceived and would prefer fewer categories (e.g., "Black," "Asian," "Latino," "Middle Eastern," "Indigenous"). At the same time, many participants advocated for a more open-ended question (i.e., a write-in field without check boxes) allowing the respondent to identify according to their self-perception.

Participants also expressed a clear need for data on racialization and the experience of racism that is not addressed by the current question in the census. Meeting this need would require the development of a larger statistical program, including a sample survey.

Recommendation for the purpose of the data

1. Expand statistical programs to measure racism and discrimination

There are still gaps in capturing the experiences, perceptions and awareness of racism and hate that cannot be addressed through current surveys and administrative data. Filling these gaps will require the development of new questions for Statistics Canada's current social surveys and the advancement of a conceptual framework for operationalizing a measure of racism and discrimination with relevant indicators to better understand equity, diversity and inclusion.

Statistics Canada aims to develop tools to understand and monitor racism, including the process of racialization and its effect on Canadians. Different means to this end are currently being considered and tested, notably new questions to better measure how a person is perceived by others in society (i.e., how the person is "racialized") and the effects experienced because of this process of racialization. While Statistics Canada collects data on experiences of discrimination in the General Social Survey, a more targeted approach could expand the understanding of racism. Also, socioeconomic indicators (labour, education, housing, health) should be factored in to understand and measure the effects of systemic racism in Canadian society.

Topic 4: Presenting the data

In general, participants in the engagement expressed a need for more flexible and disaggregated data. Different options were presented to the participants for their feedback, including multiple response variables and cross-tabulations.

One important consideration is that according to the technical guidelines from the EEA, individuals of mixed backgrounds who select more than one response category are currently derived in one category (see the detailed derivation approach (Visible minority of person)). While the detail for various combinations of multiple responses is available in large data tables (Visible minority and population group by generation status: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts), most data users rely on the visible minority variable. One way to mitigate these limitations is to present the data as a multiple response variable, displaying multiple and single responses. Most participants agreed that this approach would be useful.

Different stakeholders had previously expressed a need to obtain more details for certain groups. Alternate approaches were presented to the participants, offering more granular and flexible data. The first option was a data table cross-tabulating visible minorities by region of birth of parents. Most participants were enthusiastic with this proposition, even if some considered the level of disaggregation to be insufficient.

Recommendation for presenting the data

1. Provide more options to meet various data needs

To provide more disaggregated data, Statistics Canada should leverage the data collected in the census and provide different options to data users. To that aim, more than one variable could be derived to present the data collected through the census question and in other surveys.

While data for the purpose of the EEA would match the operational definition of the legislation (i.e., terminology and categories), a more disaggregated variable could be available to data users. Inversely, a more aggregated variable could be derived when samples are not sufficient to present data for all groups (i.e., combining Chinese, Japanese and Korean into an "East Asian" category; Filipino and Southeast Asian into a single category; and West Asian and Arab into a single category).

Also, in response to data users who want to see the total responses of certain population groups, a multiple response variable could be derived. A multiple response variable presents the sum of single and multiple responses for each group. Total response counts indicate the number of people who reported a specified group, either as their only response or in addition to one or more groups. For an example, see data for ethnic and cultural origins.

Finally, cross-tabulating data with other variables such as the region of birth of parents would provide more granular data. Other possibilities are to cross them with the ethnic and cultural origin, language, or religion variables.

Part 3: Next steps

The public consultation summarized in this report was one of several activities that informed the work involved in the development and updating of ethnocultural data. In addition to the public consultation, Statistics Canada regularly meets with an advisory committee, composed of leading researchers and academics, to discuss its data programs. Ongoing conversations with various stakeholders also inform the development and updating of the visible minority data standard.

Statistics Canada is currently undertaking 2024 Census Test, which will provide recommendations for the 2026 Census. All the comments received during this consultation and other engagement activities were considered, and many are reflected in the recommendations of this report.

Research continues in preparation for the disseminating of data from the 2026 Census and other household surveys. As previously mentioned, modifying the question is only one step toward modernizing the data standard.

Changes to the derivation method, including processing multiple responses, combining response categories when relevant and combining different variables to obtain more disaggregated data, will be investigated in preparation for the disseminating of data from the 2026 Census.

Description of assets, liabilities, equity, and financial ratios

The Canadian farm balance sheet has been designed to: record the value of farm business assets; record the value of farm business liabilities; record the value of equity for farm businesses; display standard financial ratios which are based on estimates from the balance sheet and the value-added account; be based on the establishment concept; display the information at December 31, by province.

Four different balance sheet accounts have been developed in order to separate the assets and liabilities of farm businesses from those of farm operator households and non-operator landlords. Non-operator landlords are individuals or businesses not engaged in the activity of farming who lease assets to farm operators.

In this series, data are provided only for the Balance Sheet of the Agricultural Sector (set 2). This is because set 2 most closely reflects the assets employed in the production of agricultural products. The other sets of balance sheet accounts are available on request. The four sets of aggregate balance sheets produced for Canadian agriculture are as follows:

Set 1 - The Balance Sheet of the Agricultural Sector and Farm Operator Households includes all farm sector assets and liabilities regardless of ownership. It treats the farm operator households and farm businesses as a single entity. It also includes farm real estate assets leased from non-operator landlords and the liabilities outstanding on these assets.

Set 2 - The Balance Sheet of the Agricultural Sector is designed to account for only those farm assets and liabilities used in the production of agricultural products. This set includes farm real estate assets leased from non-operator landlords and the liabilities outstanding on these assets. It also includes automobiles, trucks and farm machinery leased to farm operators. It treats the farm operator households and farm businesses as separate entities, so the personal portion of farm households’ assets and liabilities is excluded.

Set 3 - The Balance Sheet of Farm Businesses and Farm Operator Households reflects the position of farm operators and includes the assets and liabilities of both farm businesses and farm operator households. Thus, the value of farm real estate leased to farm operators by non-operator landlords is not part of this balance sheet. Similarly, the liabilities related to these leased assets are excluded.

Set 4 - The Balance Sheet of Farm Businesses of Farm Operators includes only the farm business portion of assets and liabilities. This account excludes the assets and liabilities of both non-operator landlords and farm operator households.

The layout of the balance sheet follows that recommended in the Farm Accounting Standardization Manual, published by the Farm Accounting Standardization Review Committee, Farm Credit Corporation, 1991. Some definitions and comments on the concepts and ratios have also been extracted from this manual.

Although ratio analysis can assist in managing and analyzing a business, a proper financial analysis of the business requires more tools than just ratio analysis. Consequently, complete reliance upon such financial measures is a very unsound business practice. The four major types of financial ratios which have been calculated include: liquidity, solvency, profitability, and financial efficiency.

The ratios calculated in the tables reflect an aggregate ratio for the agricultural sector. Users should note that the desired and actual value of the ratios will vary significantly according to the type of farming activity (livestock, crop, horticulture, etc.).

When developing and interpreting financial ratios, many limitations must be kept in mind, such as the method of asset valuation; the type, size, and cycle of the business; and the information used to prepare them. Ratios are most meaningful when compared between years. For further information on developing and interpreting financial ratios, refer to the Farm Accounting Standardization Manual.

Users should be especially cautious in using estimates of accounts receivable and cash, bonds and savings data in the provinces of Manitoba, Saskatchewan, Alberta and British Columbia. The estimates of cash, bonds and savings in these provinces may include the value of deferred grain receipts whereas these receipts are generally reported under "accounts receivable". This should not affect the aggregate estimates of current assets.

Current assets are assets which in the normal course of operations are expected to be converted into cash or consumed in the production process within one year. The three components include: cash, bonds and savings; accounts receivable; and inventories.

Accounts receivable are amounts owed to farm businesses, usually arising from the sale of goods or services. Examples include uncollected receipts for grain or livestock sales, or custom work performed.

Inventories are items of tangible property which are held for sale in the ordinary course of business or are in the process of production for such sale, or are to be directly consumed in the production of goods or services. The three categories of inventories are: poultry and market livestock; crops; and inputs.

Poultry and market livestock include chickens, turkeys, slaughter beef heifers, steers, calves, pigs other than boars or sows, and market lambs.

Crops include wheat excluding durum, durum wheat, oats, barley, rye, corn, flaxseed, canola, soybeans, mustard seed, canary seed, sunflower seed, dry peas, chickpeas, lentils, tobacco, and potatoes.

Inputs include feed, seed, fertilizer, chemicals, fuel, and other supplies used for farm businesses.

Prior to 1991, household contents include assets such as furniture and appliances. The farm business portion of household contents refers to office fixtures, equipment and supplies.

Quota is essentially a license, or a right, to sell a certain amount of a specific commodity. This right is regulated by marketing boards. Some quotas (such as milk) are transferable and therefore have a value associated with them. In provinces where quotas are traded, quota values reflect current market values. In provinces where quota trading is prohibited, quota values are implicitly reflected in the value of fixed assets of agricultural holdings because some of the value of quota is normally capitalized into fixed assets.

Breeding livestock consists of animals acquired or raised for the production of progeny, or for the production of a livestock product. Breeding livestock includes bulls, dairy cows, beef cows, dairy heifers, beef replacement heifers, boars, sows, rams, ewes and replacement lambs. Also included are all animals on fur farms at December 31 because all or the great majority of these are breeding stock.

There are three components of machinery: autos, trucks, and other machinery. Other machinery includes equipment for tillage, planting, fertilizing, chemical application, harvesting and haying; dairy, poultry, and other livestock equipment; and other miscellaneous items. As of 1991, computers and other office equipment used for the farm business are included with other machinery.

Farm real estate includes land, service buildings and homes (owned and leased). The value of land includes all farmland operated by farm operators. The value of service buildings includes all buildings except homes. The value of homes includes all farm dwellings occupied by farm operators.

Other long-term assets include long-term investments, as well as AgriInvest balances (beginning in 2008). Prior to the end of the programs in 2007, and the subsequent closure of all the producer accounts in 2009, Net Income Stabilization Account (NISA) balances and, in Québec, balances in the “Compte de stabilisation du revenu agricole” (CSRA), were also included. This series starts in 1991.

Total assets include all tangible and intangible items of value at December 31. It is the sum of current assets, quota, breeding livestock, machinery, farm real estate and other long-term assets.

Current liabilities are payable within the current year. Examples include accounts and notes payable within the year.

Long-term liabilities have a maturity beyond one year from the date of the balance sheet. Examples include mortgages and equipment loans owed by farm operators to various lenders. These lenders include: chartered banks; Farm Credit Canada; the Business Development Bank of Canada; credit unions; treasury branches; federal and provincial agencies; insurance, trust and loan companies; supply companies and private individuals, Veterans Affairs and advance payment programs.

Total liabilities include all obligations of a business arising from past transactions that are to be paid in the future. Total liabilities are the sum of current and long-term liabilities.

Equity refers to the ownership interest in the business. Equity equals total assets minus total liabilities and could be considered to be the owners’ claim against the assets of the business. Equity is increased by the owners’ net contribution of assets to the business and the accumulated net income of the business. As equity is derived residually, by definition any change in the value of assets and liabilities will cause a proportionately larger change in the value of equity.

Liquidity refers to the ability of a business to meet financial obligations as they come due in the ordinary course of business. Three liquidity ratios are calculated using balance sheet values: the current ratio, the acid-test or quick ratio and the debt structure ratio.

The current ratio measures a business’ ability to meet financial obligations as they come due, without disrupting normal operations. If the current ratio is greater than 1, the business is considered to be liquid. A ratio of less than 1 may indicate a potential liquidity problem. Users should note that a favourable liquidity position may be a misleading indicator of the ability of current assets to cover current liabilities because a significant portion of the current assets may be comprised of inventories which may not be easily converted to cash. Also, the value of the ratio may vary depending upon the production cycle, (eg. the ratio may obtain a significantly different result if calculated in the fall when inventories are typically high than in spring when inventories are usually depleted). The ratio is also limited in that it does not predict the timing or the adequacy of future cash flows.

The acid-test (quick) ratio is a variation of the current ratio, and is defined as the ratio of cash, marketable securities, and accounts receivable to current liabilities. The exclusion of inventories in the calculation allows for an assessment of the "immediate" liquidity position of farm businesses. An acid-test ratio of 1 indicates that there are just enough assets of a very liquid nature to cover current liabilities. The desired value of the ratio varies according to type of farming activity. For example, the desired value of the ratio for a dairy operation will be different than for a grain operation. The ratio is also limited in that it does not predict the timing or the adequacy of future cash flows.

The debt structure ratio measures the proportion of current liabilities to total liabilities. This ratio, in conjunction with the current ratio, will provide information on the relative solvency of a business. A high debt structure ratio may indicate solvency problems. However, this may not always be the case, especially for farm businesses with a relatively low value of long-term liabilities. In this case, businesses may have no solvency problems. Thus, it is important to interpret this ratio in conjunction with the value of liabilities and cash flow from farming operations.

Solvency refers to the financial measures that gauge the amount of debt of a business relative to the amount of capital invested in the business. Three solvency ratios are calculated using values from the balance sheet: leverage, equity, and debt. These ratios are indicators of the risk involved in investing in the operation: the higher the debt, the greater the risk to all investors.

The leverage ratio is the value of total liabilities per dollar of equity. The ratio is a measure of the degree to which the creditors have financed the business as compared to the owners. The higher the ratio, the greater is the financing of the farm business by creditors. A leverage ratio of 0.5, for example, indicates that the farm operators have twice as much equity as debt. The higher the value of the leverage ratio, the greater the creditors have financed the farm businesses and thus the higher the risk. The desired value of the ratio will depend upon the income variability of farm businesses and other factors such as the risk associated with production, farm businesses with high income variability or business risk would desire a lower ratio.

The equity ratio is the value of equity per dollar of total assets. The ratio measures the proportion of total assets financed by the owners, as opposed to that financed by creditors. The higher the ratio the more resources are supplied by the owners.

The debt ratio is a measure of the extent of leverage being used by a business, or the proportion of total assets financed by debt. The higher the ratio, the higher is the financial risk.

Profitability refers to the extent to which a business is able to generate profit from the utilization of the business resources. Profitability ratios are calculated using values from the balance sheet and the value-added account because the two series are conceptually and methodologically related. The three calculated profitability ratios are: capital turnover, return on assets and return on equity.

The capital turnover ratio indicates the extent to which a business efficiently utilizes its assets to generate revenue. The higher the ratio the more efficiently assets are being used to generate revenue. The desired value of the capital turnover ratio will vary significantly by type of farming activity. Users should be aware that the ratio is a comparison of flows over stocks, that is, revenues cover an accounting period while total assets refer to a specific point in time. Therefore, the ratio may be misleading in the event that total assets fluctuate significantly in one direction (either up or down) in the accounting period.

The return on assets ratio is a measure of return on investment; it reflects earnings per dollar of both owned and borrowed capital. The higher the ratio, the greater is the return on assets.

The return on equity ratio provides a measure of the return to the owner on the owner’s investment in the business, as it reflects only the return per dollar of owned capital.

Because the value of unpaid family and operator labour is not estimated, the usefulness and the interpretation of return on assets and return on equity may be influenced. Comparisons of these ratios to other return on assets and return on equity ratios should not be made unless the method of calculating the ratios is the same. These ratios do not consider the unrealized capital gains that may be present in the value of assets such as farm land. The higher the value of return on equity, the greater is the return on investment. However, a high value for this ratio may signify a highly leveraged business. Therefore, interpretation of the significance of this ratio should be made in conjunction with other ratios.

The return on assets ratio and the return on equity ratio reflect the different balance sheets. In sets 1 and 2, which include non-operator landlords, the returns include rent to non-operator landlords. In sets 1 and 3, which include the personal share of households, the returns include the family wages.

Financial efficiency refers to the extent to which a business is able to efficiently utilize the businesses resources.

The interest coverage ratio is one of the most widely used financial efficiency ratios for analyzing the ability of a business to pay the interest on debt. Similar to the return on assets or equity ratios, the interest coverage ratio reflects the inclusion or exclusion of non-operator landlords and the personal share of households.

Monthly Survey of Manufacturing: National Level CVs by Characteristic - April 2024

National Level CVs by Characteristic
Table summary
This table displays the results of Monthly Survey of Manufacturing: National Level CVs by Characteristic. The information is grouped by Month (appearing as row headers), and Sales of goods manufactured, Raw materials and components inventories, Goods / work in process inventories, Finished goods manufactured inventories and Unfilled Orders, calculated in percentage (appearing as column headers).
Month Sales of goods manufactured Raw materials and components inventories Goods / work in process inventories Finished goods manufactured inventories Unfilled Orders
%
April 2023 0.70 1.17 1.69 1.38 1.38
May 2023 0.70 1.21 1.75 1.31 1.39
June 2023 0.69 1.21 1.73 1.32 1.39
July 2023 0.70 1.07 1.66 1.23 1.46
August 2023 0.71 1.09 1.70 1.29 1.39
September 2023 0.67 1.08 1.83 1.33 1.42
October 2023 0.65 1.04 1.62 1.26 1.38
November 2023 0.65 1.03 1.64 1.29 1.36
December 2023 0.63 1.01 1.87 1.33 1.39
January 2024 0.70 1.10 2.09 1.33 1.50
February 2024 0.69 1.06 2.00 1.34 1.49
March 2024 0.66 1.06 1.81 1.32 1.51
April 2024 0.67 1.04 1.86 1.32 1.45

2023 Annual Survey of Research and Development in Canadian Industry

Why are we conducting this survey?

This survey collects information on scientific activities of Canadian businesses. The research and development expenditures and personnel information is used by federal, provincial and territorial governments and agencies, academics, trade associations and international organizations for statistical analyses and policy purposes. These data also contribute to national totals of research and development activities. The payments and receipts information is used by these agencies to monitor knowledge flows across international borders and between Canadian businesses.

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.

Provincial and territorial statistical agencies

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, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, British Columbia and the Yukon. The shared data will be limited to information on in-house research and development expenditures (Question 14) and in-house research and development personnel (Question 72) 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 statcan.esdhelpdesk-dsebureaudedepannage.statcan@statcan.gc.ca or by fax at 613-951-6583.

Other data-sharing agreement

For this survey, there are Section 12 agreements with the statistical agencies of Prince Edward Island, the Northwest Territories and Nunavut. The shared data will be limited to information on in-house research and development expenditures (Question 14) and in-house research and development personnel (Question 72) pertaining to business establishments located within the jurisdiction of the respective province or territory.

Innovation, Science and Economic Development Canada

For this survey, Statistics Canada will share survey data with Innovation, Science and Economic Development Canada. The shared data will be limited to information on research and development expenditures (Questions 4 to 21) and in-house research and development personnel (Questions 70 to 72).

Natural Resources Canada

For respondents with expenditures on energy-related research and development in technology (fossil fuels, renewable energy resources, nuclear fission and fusion, electric power, hydrogen and fuel cells, energy efficiency, other energy-related technologies), Statistics Canada will also share survey data with the Office of Energy Research and Development (OERD) of Natural Resources Canada. The shared data will be limited to information on Energy Research and Development Expenditures by Area of Technology (Questions 22 to 69).

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

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
      • When did this business or organization close for the season?
        • Date
      • When does this business or organization expect to resume operations?
        • Date
    • Ceased operations
      • 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 for ceased operations
    • Sold operations
      • When was this business or organization sold?
        • Date
      • What is the legal name of the buyer?
    • Amalgamated with other businesses or organizations
      • 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?
    • Temporarily inactive but will re-open
      • 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?
    • No longer operating due to other reasons
      • 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).

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

Main activity

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

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

  • Yes
    • When did the main activity change?
      Date
  • No

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

Additional reporting instructions

1. Throughout this questionnaire, please report financial information in thousands of Canadian dollars.

For example, an amount of $763,880.25 should be reported as: 764, CAN$ '000

I will report in the format above

Reporting period

1. What is the end date of this business's fiscal year?

Note: For this survey, this business's fiscal year end date should fall on or before March 31, 2024.

Here are some examples of fiscal periods that fall within the targeted dates:

  • May 1, 2022 to April 30, 2023
  • July 1, 2022 to June 30, 2023
  • October 1, 2022 to September 30, 2023
  • January 1, 2023 to December 31, 2023
  • February 1, 2023 to January 31, 2024
  • April 1, 2023 to March 31, 2024

Fiscal Year-End date

This fiscal year will be referred to as 2023 throughout the questionnaire

Business status

2. What is this business's GST number (9-digit business number)?

GST number (9-digit business number)

In-house research and development (R&D) expenditures

Before you begin, differences between Scientific Research and Experimental Development (SR&ED) tax incentive program and this survey

Include the following expenditures in this survey:

  • capital R&D expenditures
  • R&D expenditures in the social sciences and humanities
  • payments for R&D performed by other organizations outside Canada.

Definitions for this survey

'In-house R&D ' refers to
Expenditures within Canada for R&D performed within this business by:

  • employees (permanent, temporary or casual)
  • self-employed individuals or contractors who are working on-site on this business's R&D projects.

'Outsourced R&D ' refers to
Payments made within or outside Canada to other businesses, organizations or individuals to fund R&D performance:

  • grants
  • fellowships
  • contracts.

In-house research and development ( R&D ) expenditures

3. In 2023, did this business have expenditures for R&D performed in-house within Canada?

Exclude payments for outsourced (contracted out or granted) R&D, which should be reported in question 9.

In-house refers to R&D which is performed on-site or within the business's establishment. Exclude R&D expenses performed by other companies or organizations. A later question will collect these data.

Research and experimental development ( R&D ) comprise creative and systematic work undertaken in order to increase the stock of knowledge - including knowledge of humankind, culture and society - and to devise new applications of available knowledge.

R&D is performed in the natural sciences, engineering, social sciences and humanities. There are three types of R&D activities: basic research, applied research and experimental development.

Research work in the social sciences

Include if projects are employing new or significantly different modelling techniques or developing new formulae, analyzing data not previously available or applying new research techniques, development of community strategies for disease prevention, or health education.

Exclude:

  • routine analytical projects using standard techniques and existing data
  • routine market research
  • routine statistical analysis intended for on-going monitoring of an activity.
    • Yes
    • No

4. In 2023, what were this business's expenditures for R&D performed in-house within Canada?

Exclude payments for outsourced (contracted out or granted) R&D, which should be reported in question 9.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

In-house R&D expenditures are composed of current in-house R&D expenditures and capital in-house R&D expenditures.

Current in-house R&D expenditures

Include:

  • wages, salaries, benefits and fringe benefits, materials and supplies
  • services to support R&D, including on-site R&D consultants and contractors
  • necessary background literature
  • minor scientific equipment
  • associated administrative overhead costs.

a. Wages, salaries of permanent, temporary and casual R&D employees

Include benefits and fringe benefits of employees engaged in R&D activities. Benefits and fringe benefits include bonus payments, holiday or vacation pay, pension fund contributions, other social security payments, payroll taxes, etc.

b. Services to support R&D

Include:

  • payments to on-site R&D consultants and contractors working under the direct control of your business
  • other services including indirect services purchased to support in-house R&D such as security, storage, repair, maintenance and use of buildings and equipment
  • computer services, software licensing fees and dissemination of R&D findings.

c. R&D materials

Include:

  • water, fuel, gas and electricity
  • materials for creation of prototypes
  • reference materials (books, journals, etc.)
  • subscriptions to libraries and data bases, memberships to scientific societies, etc.
  • cost of outsourced (contracted out or granted) small R&D prototypes or R&D models
  • materials for laboratories (chemicals, animal, etc.)
  • all other R&D -related materials.

d. All other current R&D costs including overhead

Include administrative and overhead costs (e.g., office, lease/rent, post and telecommunications, internet, legal expenditures, insurance), prorated if necessary to allow for non- R&D activities within the business.

Exclude:

  • interest charges
  • value-added taxes (goods and services tax (GST) or harmonized sales tax (HST)).

Capital in-house expenditures are the annual gross amount paid for the acquisition of fixed assets that are used repeatedly, or continuously in the performance of R&D for more than one year. Report capital in-house expenditures in full for the period when they occurred.

Include costs for software, land, buildings and structures, equipment, machinery and other capital costs.

Exclude capital depreciation.

e. Software

Include applications and systems software (original, customized and off-the-shelf software), supporting documentation and other software-related acquisitions.

f. Land acquired for R&D including testing grounds, sites for laboratories and pilot plants.

g. Buildings and structures that are constructed or purchased for R&D activities or that have undergone major improvements, modifications, renovations and repairs for R&D activities.

h. Equipment, machinery and all other capital

Include major equipment, machinery and instruments, including embedded software, acquired for R&D activities.

In 2023, what were this business's expenditures for R&D performed in-house within Canada?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
2023 — Current in-house R&D expenditures within Canada  
Wages, salaries of permanent, temporary and casual R&D employees
Include fringe benefits.
 
Services to support R&D
Include services of self-employed individuals or contractors who are working on-site on this business's R&D projects.
Exclude contracted out or granted expenditures to other organizations to perform R&D (report in question 9).
 
R&D materials  
All other current R&D costs
Include overhead costs.
 
2023 — Total current in-house R&D expenditures within Canada  
2023 — Capital in-house R&D expenditures within Canada  
Software
Exclude capital depreciation.
 
Land
Exclude capital depreciation.
 
Buildings and structures
Exclude capital depreciation.
 
Equipment, machinery and all other capital
Exclude capital depreciation.
 
2023 — Total capital in-house R&D expenditures within Canada  
2023 — Total in-house R&D expenditures within Canada  

5. In 2024 and 2025, does this business plan to have expenditures for R&D performed in-house within Canada?

Exclude payments for outsourced (contracted out or granted) R&D, which should be reported in question 11.

Select all that apply

In-house R&D expenditures are composed of current in-house R&D expenditures and capital in-house R&D expenditures.

Research and experimental development ( R&D ) comprise creative and systematic work undertaken in order to increase the stock of knowledge - including knowledge of humankind, culture and society - and to devise new applications of available knowledge

Inclusions

Prototypes
Include design, construction and operation of prototypes, provided that the primary objective is to make further improvements or to undertake technical testing.
Exclude if the prototype is for commercial purposes.

Clinical Trials
Include clinical trial phases 1, 2, and 3. Include clinical trial phase 4 only if it brings about a further scientific or technological advance.

Pilot plants
Include construction and operation of pilot plants, provided that the primary objective is to make further improvements or to undertake technical testing.
Exclude if the pilot plant is intended to be operated for commercial purposes.

New computer software or significant improvements/modifications to existing computer software
Includes technological or scientific advances in theoretical computer sciences; operating systems e.g., improvement in interface management, developing new operating system of converting an existing operating system to a significantly different hardware environment; programming languages; and applications if a significant technological change occurs.

Contracts
Include all contracts which require R&D. For contracts which include other work, report only the R&D costs.

Research work in the social sciences
Include if projects are employing new or significantly different modelling techniques or developing new formulae, analyzing data not previously available or applying new research techniques, development of community strategies for disease prevention, analysis of the effectiveness of health interventions, or health education.

Exclusions

Routine analysis in the social sciences including policy-related studies, management studies and efficiency studies
Exclude analytical projects of a routine nature, with established methodologies, principles and models of the related social sciences to bear on a particular problem (e.g., commentary on the probable economic effects of a change in the tax structure, using existing economic data; use of standard techniques in applied psychology to select and classify industrial and military personnel, students, etc., and to test children with reading or other disabilities).

Consumer surveys, advertising, market research
Exclude projects of a routine nature, with established methodologies intended for commercialization of the results of R&D.

Routine quality control and testing
Exclude projects of a routine nature, with established methodologies not intended to create new knowledge, even if carried out by personnel normally engaged in R&D.

Pre-production activities such as demonstration of commercial viability, tooling up, trial production, trouble shooting
Although R&D may be required as a result of these steps, these activities are excluded.

Prospecting, exploratory drilling, development of mines, oil or gas wells
Include only if for R&D projects concerned with new equipment or techniques in these activities, such as in-situ and tertiary recovery research.

Engineering
Exclude engineering unless it is in direct support of R&D.

Design and drawing
Exclude design and drawing unless it is in direct support of R&D.

Patent and licence work
Exclude all administrative and legal work connected with patents and licences.

Cosmetic modifications or style changes to existing products
Exclude if no significant technical improvement or modification to the existing products has occurred.

General purpose or routine data collection
Exclude projects of a routine nature, with established methodologies intended for on-going monitoring of an activity.

Routine computer programming, systems maintenance or software application
Exclude projects of a routine nature, with established methodologies intended to support on-going operations.

Routine mathematical or statistical analysis or operations analysis
Exclude projects of a routine nature, with established methodologies intended for on-going monitoring of an activity.

Activities associated with standards compliance
Exclude projects of a routine nature, with established methodologies intended to support standards compliance.

Specialized routine medical care such as routine pathology services
Exclude projects of a routine nature, with established methodologies intended for on-going monitoring of an activity where results do not further scientific, technological advance, or understanding of the effectiveness of a technology.

  • In 2024
  • In 2025
  • No planned in-house R&D expenditures

6. In 2024, what are this business's planned expenditures for R&D performed in-house within Canada?

Exclude payments for outsourced (contracted out or granted) R&D, which should be reported in question 11.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

In 2024, what are this business's planned expenditures for R&D performed in-house within Canada?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
2024 — Total current in-house R&D expenditures within Canada  
2024 — Total capital in-house R&D expenditures within Canada  

7. In 2025, what are this business's planned expenditures for R&D performed in-house within Canada?

Exclude payments for outsourced (contracted out or granted) R&D, which should be reported in question 11.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

In 2025, what are this business's planned expenditures for R&D performed in-house within Canada?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
2025 — Total current in-house R&D expenditures within Canada  
2025 — Total capital in-house R&D expenditures within Canada  

Outsourced (contracted out or granted) R&D expenditures

8. In 2023, did this business have outsourced (contracted out or granted) R&D expenditures within Canada or outside Canada?

Include:

  • funding or grants provided to other organizations to perform R&D
  • contracted out expenditures for R&D.

Exclude services of self-employed individuals or contractors who are working on-site on this business's R&D projects, which should be reported in question 4.

Select all that apply.

Outsourced (contracted out or granted) R&D expenditures are payments made through contracts, grants and fellowships to another company, organization or individual to purchase R&D activities.

  • Within Canada
  • Outside Canada
  • No payment made to others to perform R&D

9. In 2023, what were this business's outsourced (contracted out or granted) R&D expenditures within Canada or outside Canada?

Include:

  • funding or grants provided to other organizations to perform R&D
  • contracted out expenditures for R&D.

Exclude services of self-employed individuals or contractors who are working on-site on this business's R&D projects, which should be reported in question 4.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Include payments made through contracts, grants, donations and fellowships to another company, organization or individual to purchase or fund R&D activities.

Exclude expenditures for on-site R&D contractors.

Parent and subsidiary companies are companies connected to each other through majority ownership of the subsidiary company by the parent company. Affiliated companies are companies connected to a parent through minority ownership of the affiliated companies by the parent.

Companies include all incorporated for-profit businesses and government business enterprises providing products in the market at market rates.

Private non-profit organizations include voluntary health organizations, private philanthropic foundations, associations, consortia, accelerators, and societies and research institutes. They are not-for-profit organizations that serve the public interest by supporting activities related to public welfare (such as health, education, the environment).

Industrial research institutes or associations include all non-profit organizations that serve the business sector, with industrial associations frequently consisting of their membership.

Universities include hospitals and clinics when they are affiliated with a university and provide education services or when R&D activity is under the direct control of a university.

Federal government includes all federal government departments and agencies. It excludes federal government business enterprises providing products in the market.

Provincial or territorial governments include all provincial or territorial government ministries, departments and agencies. It excludes provincial or territorial government business enterprises providing products in the market.

Provincial or territorial research organizations are organizations created under provincial or territorial law which conduct or facilitate research on behalf of the province or territory.

Other organizations - individuals, non-university educational institutions, for profit accelerators and incubators, foreign governments including ministries, departments and agencies of foreign governments.

In 2023, what were this business's outsourced (contracted out or granted) R&D expenditures within Canada or outside Canada?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Within Canada
CAN$ '000
Outside Canada
CAN$ '000
Parent, affiliated and subsidiary companies    
Other companies    
Private non-profit organizations    
Industrial research institutes or associations    
Hospitals    
Universities    
Federal government departments and agencies    
Provincial or territorial government departments, ministries and agencies    
Provincial or territorial research organizations    
Other organizations e.g., individuals, non-university educational institutions, foreign governments    
2023 — Total outsourced (contracted out or granted) R&D expenditures    

10. In 2024 and 2025, does this business plan to outsource (contract out or grant) R&D expenditures within Canada or outside Canada?

Include:

  • funding or grants provided to other organizations to perform R&D
  • contracted out expenditures for R&D.

Exclude services of self-employed individuals or contractors who are working on-site on this business's R&D projects, which should be reported in questions 6 and 7.

Select all that apply.

Outsourced (contracted out or granted) R&D expenditures are payments made through contracts, grants and fellowships to another company, organization or individual to purchase R&D activities.

  • In 2024
  • In 2025
  • No planned payments to others to perform R&D

11. In 2024 and 2025, what are this business's planned outsourced (contracted out or granted) R&D expenditures within Canada or outside Canada?

Include:

  • funding or grants provided to other organizations to perform R&D
  • contracted out expenditures for R&D.

Exclude services of self-employed individuals or contractors who are working on-site on this business's R&D projects, which should be reported in questions 6 and 7.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Include payments made through contracts, licenses, grants, donations, endowments and fellowships to another company, university, hospital, consortia, organization or individual to purchase or fund R&D activities.

Exclude expenditures for on-site R&D contractors.

In 2024 and 2025, what are this business's planned outsourced (contracted out or granted) R&D expenditures within Canada or outside Canada?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Within Canada
CAN$ '000
Outside Canada
CAN$ '000
a. 2024    
b. 2025    

In-house and Outsourced (contracted out or granted) R&D expenditures from 2023 to 2025

12. Summary of total R&D expenditures from 2023 to 2025

12. Summary of total R&D expenditures from 2023 to 2025
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  2023
CAN$ '000
2024
CAN$ '000
2025
CAN$ '000
Total current in-house R&D expenditures within Canada      
Total capital in-house R&D expenditures within Canada      
Total in-house R&D expenditures within Canada      
Total outsourced (contracted out or granted) R&D expenditures      
Total R&D expenditures      

Geographic distribution of in-house R&D expenditures within Canada in 2023

13. In 2023, in which provinces or territories did this business have expenditures for R&D performed in-house?

Exclude:

  • payments for outsourced (contracted out or granted) R&D, which should be reported in question 9
  • capital depreciation.

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

14. In 2023, how were this business's total expenditures for R&D performed in-house distributed by province or territory?

Exclude:

  • payments for outsourced (contracted out or granted) R&D, which should be reported in question 9
  • capital depreciation.

Please report all amounts in thousands of Canadian dollars.

For in-house R&D activities on federal lands, please include in the closest province or territory.

In 2023, how were this business's total expenditures for R&D performed in-house distributed by province or territory?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Current in-house R&D expenditures
CAN$ '000
Capital in-house R&D expenditures
CAN$ '000
Newfoundland and Labrador    
Prince Edward Island    
Nova Scotia    
New Brunswick    
Quebec    
Ontario    
Manitoba    
Saskatchewan    
Alberta    
British Columbia    
Yukon    
Northwest Territories    
Nunavut    
2023 — Total current and capital in-house R&D expenditures    
2023 — Total current and capital in-house R&D expenditures previously reported from question 4    

Sources of funds for in-house R&D expenditures in 2023

15. In 2023, what were the sources of funds for this business's total expenditures for R&D performed in-house?

Include Canadian and foreign sources.

Exclude:

  • payments for outsourced (contracted out or granted) R&D, which should be reported in question 9.
  • capital depreciation.

Select all that apply.

Funds from this business
Amount contributed by this business to R&D performed within Canada (include amounts eligible for income tax purposes, e.g., Scientific Research and Experimental Development (SR-ED) program, other amounts spent for projects not claimed through SR-ED, and funds for land, buildings, machinery and equipment (capital expenditures) purchased for R&D).

Funds from parent, affiliated and subsidiary companies
Amount received from parent, affiliated and subsidiary companies used to perform R&D within Canada (include amounts eligible for income tax purposes, e.g., Scientific Research and Experimental Development (SR-ED) program, other amounts spent for projects not claimed through SR-ED, and funds for land, buildings, machinery and equipment (capital expenditures) purchased for R&D).

R&D contract work for other companies
Funds received from other companies to perform R&D on their behalf.

Federal government grants or funding
Grants or funds received from the federal government in support of R&D activities not connected to a specific contractual deliverable.

Federal government contracts
Funds received from the federal government in support of R&D activities connected to a specific contractual deliverable.

Provincial or territorial government grants or funding
Grants or funds received from the provincial or territorial government in support of R&D activities not connected to a specific contractual deliverable.

Provincial or territorial government contracts
Funds received from the provincial or territorial government in support of R&D activities connected to a specific contractual deliverable.

R&D contract work for private non-profit organizations
Funds received from non-profit organizations to perform R&D on their behalf.

Other sources
Funds received from all other sources not previously classified.

  • Funds from this business
    Include interest payments, other income and funding or tax credits from tax incentives.
  • Funds from parent, affiliated and subsidiary companies
  • Federal government grants or funding
    Include R&D grants or funding or R&D portion only of other grants or funding. Do not include funds or tax credits from SR&ED tax incentives.
  • Federal government contracts
    Include R&D contracts or R&D portion only of other contracts.
  • R&D contract work for other companies
  • Provincial or territorial government grants or funding
    Include R&D grants or funding or R&D portion only of other grants or funding.
  • From which province or territory did this business receive provincial or territorial government R&D grants or funding?
    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
  • Provincial or territorial government contracts
    Include R&D contracts or R&D portion only of other contracts.
  • From which province or territory did this business receive provincial or territorial government R&D contracts?
    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
  • R&D contract work for private non-profit organizations
  • Other sources -e.g., universities, foreign governments, individuals

16. In 2023, what were the sources of funds for this business's total expenditures of $ [Amount] for R&D performed in-house?

Exclude:

  • payments for outsourced (contracted out or granted) R&D, which should be reported in question 9
  • capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Funds from this business
Amount contributed by this business to R&D performed within Canada (include amounts eligible for income tax purposes, e.g., Scientific Research and Experimental Development ( SR-ED ) program, other amounts spent for projects not claimed through SR-ED, and funds for land, buildings, machinery and equipment (capital expenditures) purchased for R&D ).

Funds from parent, affiliated and subsidiary companies
Amount received from parent, affiliated and subsidiary companies used to perform R&D within Canada (include amounts eligible for income tax purposes, e.g., Scientific Research and Experimental Development ( SR-ED ) program, other amounts spent for projects not claimed through SR-ED, and funds for land, buildings, machinery and equipment (capital expenditures) purchased for R&D ).

R&D contract work for other companies
Funds received from other companies to perform R&D on their behalf.

Federal government grants or funding
Grants or funds received from the federal government in support of R&D activities not connected to a specific contractual deliverable.

Federal government contracts
Funds received from the federal government in support of R&D activities connected to a specific contractual deliverable.

Provincial or territorial government grants or funding
Grants or funds received from the provincial or territorial government in support of R&D activities not connected to a specific contractual deliverable.

Provincial or territorial government contracts
Funds received from the provincial or territorial government in support of R&D activities connected to a specific contractual deliverable.

R&D contract work for private non-profit organizations
Funds received from non-profit organizations to perform R&D on their behalf.

Other sources
Funds received from all other sources not previously classified.

In 2023, what were the sources of funds for this business's total expenditures of $ [Amount] for R&D performed in-house?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  From within Canada
CAN$ '000
From outside Canada
CAN$ '000
Funds from this business
Include interest payments, other income and funding or tax credits from tax incentives.
   
Funds from parent, affiliated and subsidiary companies    
Federal government grants or funding
Include R&D grants or funding or R&D portion only of other grants or funding.
   
Federal government contracts
Include R&D contracts or R&D portion only of other contracts.
   
R&D contract work for other companies
Business 1
GST number (9-digit business number (BN) or charitable registration number)
Legal name
   
Business 2
GST number (9-digit business number (BN) or charitable registration number)
Legal name
   
Business 3
GST number (9-digit business number (BN) or charitable registration number)
Legal name
   
Business 4
GST number (9-digit business number (BN) or charitable registration number)
Legal name
   
Other contracts not listed above    
Provincial or territorial government grants or funding
Include R&D grants or funding or R&D portion only of other grants or funding.
Newfoundland and Labrador    
Prince Edward Island    
Nova Scotia    
New Brunswick    
Quebec    
Ontario    
Manitoba    
Saskatchewan    
Alberta    
British Columbia    
Yukon    
Northwest Territories    
Nunavut    
Provincial or territorial government contracts
Include R&D contracts or R&D portion only of other contracts.
Newfoundland and Labrador    
Prince Edward Island    
Nova Scotia    
New Brunswick    
Quebec    
ab. Ontario    
ac. Manitoba    
ad. Saskatchewan    
ae. Alberta    
af. British Columbia    
ag. Yukon    
ah. Northwest Territories    
ai. Nunavut    
R&D contract work for private non-profit organizations 
aj. Organization 1
GST number (9-digit business number (BN) or charitable registration number)
Legal name
   
ak. Organization 2
GST number (9-digit business number (BN) or charitable registration number)
Legal name
   
al. Organization 3
GST number (9-digit business number (BN) or charitable registration number)
Legal name
   
am. Other sources
e.g., universities, foreign governments, individuals
   
2023 — Total in-house R&D expenditures by sources of funds by origin    
2023 — Total in-house R&D expenditures (Canadian and foreign sources)    
Total in-house R&D expenditures previously reported from question 4    

Fields of R&D for in-house R&D expenditures within Canada in 2023

17. In 2023, in which field(s) of research and development did this business have R&D performed in-house within Canada?
Exclude:

  • payments for outsourced (contracted out or granted) R&D, which should be reported in question 9
  • capital depreciation.

Select all that apply.

Natural and formal sciences: physical sciences, chemical sciences, earth and related environmental sciences, biological sciences, other natural sciences.

Engineering and technology: civil engineering, electrical engineering, electronic engineering and communications technology, mechanical engineering, chemical engineering, materials engineering, medical engineering, environmental engineering, environmental biotechnology, industrial biotechnology, nanotechnology, other engineering and technologies.

Software-related sciences and technology: software engineering and technology, computer sciences, information technology and bioinformatics.

Medical and health sciences: basic medicine, clinical medicine, health sciences, medical biotechnology, other medical sciences.

Agricultural sciences: agriculture, forestry and fisheries sciences, animal and dairy sciences, veterinary sciences, agricultural biotechnology, other agricultural sciences.

Social sciences and humanities: psychology, educational sciences, economics and business, other social sciences, humanities.

  • Natural and formal sciences
    Exclude computer sciences, information sciences and bioinformatics.
  • Engineering and technology
    Exclude software engineering and technology.
  • Software-related sciences and technology
  • Medical and health sciences
  • Agricultural sciences
  • Social sciences and humanities

18. In 2023, how were this business's total expenditures of $ [Amount] for R&D performed in-house within Canada distributed by field(s) of research and development?

Exclude:

  • payments for outsourced (contracted out or granted) R&D, which should be reported in question 9
  • capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Natural and formal sciences

Mathematics: pure mathematics, applied mathematics, statistics and probability.

Physical sciences: atomic, molecular and chemical physics, interaction with radiation, magnetic resonances, condensed matter physics, solid state physics and superconductivity, particles and fields physics, nuclear physics, fluids and plasma physics (including surface physics), optics (including laser optics and quantum optics), acoustics, astronomy (including astrophysics, space science).

Chemical sciences: organic chemistry, inorganic and nuclear chemistry, physical chemistry, polymer science and plastics, electrochemistry (dry cells, batteries, fuel cells, metal corrosion, electrolysis), colloid chemistry, analytical chemistry.

Earth and related environmental sciences: geosciences, geophysics, mineralogy and palaeontology, geochemistry and geophysics, physical geography, geology and volcanology, environmental sciences, meteorology, atmospheric sciences and climatic research, oceanography, hydrology and water resources.

Biological sciences: cell biology, microbiology and virology, biochemistry, molecular biology and biochemical research, mycology, biophysics, genetics and heredity (medical genetics under medical biotechnology), reproductive biology (medical aspects under medical biotechnology), developmental biology, plant sciences and botany, zoology, ornithology, entomology and behavioural sciences biology, marine biology, freshwater biology and limnology, ecology and biodiversity conservation, biology (theoretical, thermal, cryobiology, biological rhythm), evolutionary biology.

Other natural sciences: other natural sciences.

Engineering and technology

Civil engineering: civil engineering, architecture engineering, municipal and structural engineering, transport engineering.

Electrical engineering, electronic engineering and communications technology: electrical and electronic engineering, robotics and automatic control, micro-electronics, semiconductors, automation and control systems, communication engineering and systems, telecommunications, computer hardware and architecture.

Mechanical engineering: mechanical engineering, applied mechanics, thermodynamics, aerospace engineering, nuclear-related engineering (nuclear physics under Physical sciences), acoustical engineering, reliability analysis and non-destructive testing, automotive and transportation engineering and manufacturing, tooling, machinery and equipment engineering and manufacturing, heating, ventilation and air conditioning engineering and manufacturing.

Chemical engineering: chemical engineering (plants, products), chemical process engineering.

Materials engineering: materials engineering and metallurgy, ceramics, coating and films (including packaging and printing), plastics, rubber and composites (including laminates and reinforced plastics), paper and wood and textiles, construction materials (organic and inorganic).

Medical engineering: medical and biomedical engineering, medical laboratory technology (excluding biomaterials which should be reported under Industrial biotechnology).

Environmental engineering: environmental and geological engineering, petroleum engineering (fuel, oils), energy and fuels, remote sensing, mining and mineral processing, marine engineering, sea vessels and ocean engineering.

Environmental biotechnology: environmental biotechnology, bioremediation, diagnostic biotechnologies in environmental management (DNA chips and bio-sensing devices).

Industrial biotechnology: industrial biotechnology, bioprocessing technologies, biocatalysis and fermentation bioproducts (products that are manufactured using biological material as feedstock), biomaterials (bioplastics, biofuels, bio-derived bulk and fine chemicals, bio-derived materials).

Nanotechnology: nano-materials (production and properties), nano-processes (applications on nano-scale).

Other engineering and technologies: food and beverages, oenology, other engineering and technologies.

Software-related sciences and technologies

Software engineering and technology: computer software engineering, computer software technology, and other related computer software engineering and technologies.

Computer sciences: computer science, artificial intelligence, cryptography, and other related computer sciences.

Information technology and bioinformatics: information technology, informatics, bioinformatics, biomathematics, and other related information technologies.

Medical and health sciences

Basic medicine: anatomy and morphology (plant science under Biological science), human genetics, immunology, neurosciences, pharmacology and pharmacy and medicinal chemistry, toxicology, physiology and cytology, pathology.

Clinical medicine: andrology, obstetrics and gynaecology, paediatrics, cardiac and cardiovascular systems, haematology, anaesthesiology, orthopaedics, radiology and nuclear medicine, dentistry, oral surgery and medicine, dermatology, venereal diseases and allergy, rheumatology, endocrinology and metabolism and gastroenterology, urology and nephrology, and oncology.

Health sciences: health care sciences and nursing, nutrition and dietetics, parasitology, infectious diseases and epidemiology, occupational health.

Medical biotechnology: health-related biotechnology, technologies involving the manipulation of cells, tissues, organs or the whole organism, technologies involving identifying the functioning of DNA, proteins and enzymes, pharmacogenomics, gene-based therapeutics, biomaterials (related to medical implants, devices, sensors).

Other medical sciences: forensic science, other medical sciences.

Other medical sciences: forensic science, other medical sciences.

Agricultural sciences

Agriculture, forestry and fisheries sciences: agriculture, forestry, fisheries and aquaculture, soil science, horticulture, viticulture, agronomy, plant breeding and plant protection.

Animal and dairy sciences: animal and dairy science, animal husbandry.

Veterinary sciences: veterinary science (all).

Agricultural biotechnology: agricultural biotechnology and food biotechnology, genetically modified (GM) organism technology and livestock cloning, diagnostics (DNA chips and biosensing devices), biomass feedstock production technologies and biopharming.

Other agricultural sciences: other agricultural sciences.

Social sciences and humanities

Psychology: cognitive psychology and psycholinguistics, experimental psychology, psychometrics and quantitative psychology, and other fields of psychology.

Educational sciences: education, training and other related educational sciences.

Economics and business: micro-economics, macro-economics, econometrics, labour economics, financial economics, business economics, entrepreneurial and business administration, management and operations, management sciences, finance, pharmacoeconomics, and all other related fields of economics and business.

Other social sciences: anthropology (social and cultural) and ethnology, demography, geography (human, economic and social), planning (town, city and country), management, organisation and methods (excluding market research unless new methods/techniques are developed), law, linguistics, political sciences, sociology, miscellaneous social sciences and interdisciplinary, and methodological and historical science and technology activities relating to subjects in this group.

Humanities: history (history, prehistory and history, together with auxiliary historical disciplines such as archaeology, numismatics, palaeography, genealogy, etc.), languages and literature (ancient and modern), other humanities (philosophy (including the history of science and technology)), arts (history of art, art criticism, painting, sculpture, musicology, dramatic art excluding artistic "research" of any kind), religion, theology, other fields and subjects pertaining to the humanities, and methodological, historical and other science and technology activities relating to the subjects in this group.

In 2023, how were this business's total expenditures of $ [Amount] for R&D performed in-house within Canada distributed by field(s) of research and development?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Natural and formal sciences
Exclude computer sciences, information technology and bioinformatics (to be reported at lines s. and t.)
Mathematics  
Physical sciences  
Chemical sciences  
Earth and related environmental sciences  
Biological sciences  
Other natural sciences  
Total natural and formal sciences  
Engineering and technology
Exclude: software engineering and technology (to be reported at line r.)
Civil engineering  
Electrical engineering, electronic engineering and communications technology  
Mechanical engineering  
Chemical engineering  
Materials engineering  
Medical engineering  
Environmental engineering  
Environmental biotechnology  
Industrial biotechnology  
Nanotechnology  
Other engineering and technologies  
Total engineering and technology  
Software-related sciences and technology
Software engineering and technology  
Computer sciences  
Information technology and bioinformatics  
Total software-related sciences and technology  
Medical and health sciences
Basic medicine  
Clinical medicine  
Health sciences  
Medical biotechnology  
Other medical sciences  
Total medical and health sciences  
Agricultural sciences
Agriculture, forestry and fisheries sciences  
Animal and dairy sciences  
ab. Veterinary sciences  
ac. Agricultural biotechnology  
ad. Other agricultural sciences  
Total agricultural sciences  
Social sciences and humanities
ae. Psychology  
af. Educational sciences  
ag. Economics and business  
ah. Other social sciences  
ai. Humanities  
Total social sciences and humanities  
2023 — Total in-house R&D expenditures within Canada by field of research and development  
Total in-house R&D expenditures previously reported from question 4  
   

19. Summary of 2023 total in-house R&D expenditures within Canada distributed by field(s) of research and development.

19. Summary of 2023 total in-house R&D expenditures within Canada distributed by field(s) of research and development.
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Total natural and formal sciences  
Total engineering and technology  
Total software-related sciences and technology  
Total medical and health sciences  
Total agricultural sciences  
Total social sciences and humanities  
Total in-house R&D expenditures within Canada by fields of research and development  

Nature of R&D for in-house R&D expenditures within Canada in 2023

20. In 2023, how were this business's total expenditures for R&D performed in-house within Canada of $ [Amount] distributed by nature of R&D?

Basic research is experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundation of phenomena and observable facts, without any particular application or use in view.

Applied research is original investigation undertaken in order to acquire new knowledge. It is, however, directed primarily towards a specific, practical aim or objective.

Experimental development is systematic work, drawing on knowledge gained from research and practical experience and producing additional knowledge, which is directed to producing new products or processes or to improving existing products or processes.
(OECD. Frascati Manual: Proposed Standard for Surveys on Research and Experimental Development, 2015)

In 2023, how were this business's total expenditures for R&D performed in-house within Canada of $ [Amount] distributed by nature of R&D?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Percentage of total in-house R&D expenditures
Basic research  
Applied research  
Experimental development  
Total percentage  

Results of R&D expenditures from 2021 to 2023

21. During the three (3) years 2021, 2022 and 2023, did this business's total expenditures for R&D performed in-house and outsourced (contracted out or granted) within Canada or outside Canada lead to new or significant improvements to the following?

Goods
Goods developed through new knowledge from research discoveries include determination of effectiveness of existing treatment protocols, establishment of new treatment protocols (including diagnostic procedures, tests and protocols), and creation of new service delivery models and reference tools (including electronic applications).

During the three (3) years 2021, 2022 and 2023, did this business's total expenditures for R&D performed in-house and outsourced (contracted out or granted) within Canada or outside Canada lead to new or significant improvements to the following?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Yes No
Goods
Include goods developed through new knowledge from research discoveries
   
Services
Include on-going knowledge transfer to physicians, first responders, patients and the general public.
   
Methods of manufacturing or producing goods and services    
Logistics, delivery or distribution methods for this business's inputs, goods or services    
Supporting activities for this business's processes, such as maintenance systems or operations for purchasing, accounting or computing    

Energy-related R&D by area of technology

22. In 2023, did this business's total in-house and outsourced (contracted out or granted) R&D expenditures include energy-related R&D in the following categories?

  1. Fossil fuels: crude oils and natural gas exploration, crude oils and natural gas production, oil sands and heavy crude oils surface and sub-surface production and separation of the bitumen, tailings management, refining, processing and upgrading, coal production, separation and processing, transportation of fossil fuels.
  2. Renewable energy resources: solar photovoltaics (PV), solar thermal-power and high-temperature applications, solar heating and cooling, wind energy, bio-energy - biomass production, bio-energy - biomass conversion to fuels, bio-energy - biomass conversion to heat and electricity, and other bio-energy, small hydro (less than 10 MW), large hydro (greater than or equal to 10 MW), other renewable energy.
  3. Nuclear: materials exploration, mining and preparation, tailings management, nuclear reactors, other fission, fusion.
  4. Electric power: generation in utility sector, combined heat and power in industry and in buildings, electricity transmission, distribution and storage of electricity.
  5. Hydrogen and fuel cells: hydrogen production for process applications, hydrogen production for transportation applications, hydrogen transport and storage, other hydrogen, fuel cells, both stationary and mobile.
  6. Energy efficiency: industry, residential and commercial, transportation, other energy efficiency.
  7. Other energy-related technologies: carbon capture, transportation and storage for fossil fuel production and processing, electric power generation, industry in end-use sector, energy systems analysis, all other energy-related technologies.
In 2023, did this business's total in-house and outsourced (contracted out or granted) R&D expenditures include energy-related R&D in the following categories?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Yes No
Fossil fuels    
Renewable energy resources    
Nuclear fission and fusion    
Electric power    
Hydrogen and fuel cells    
Energy efficiency    
Other energy-related technologies    

Energy-related R&D by area of technology — Fossil fuels

23. In 2023, did this business's total in-house and outsourced (contracted out or granted) R&D expenditures include fossil fuels-related R&D in the following categories?

Select all that apply.

Crude oils and natural gas exploration:
Includes development of advanced exploration methods (geophysical, geochemical, seismic, magnetic) for on-shore and off-shore prospecting.

Crude oil and natural gas production (including enhanced recovery) and storage:
Includes on-shore and off-shore deep drilling equipment and techniques for conventional oil and gas, secondary and tertiary recovery of oil and gas, hydro fracturing techniques, processing and cleaning of raw product, storage on remote platforms (e.g., Arctic, off-shore), safety aspects of off-shore platforms.

Oil sands and heavy crude oils surface and sub-surface production and separation of the bitumen, tailings management:
Includes surface and in-situ production (e.g., SAGD), tailings management.

Refining, processing and upgrading:
Includes processing of natural gas to pipeline specifications, and refining of conventional crude oils to refined petroleum products (RPPs), and the upgrading of bitumen and heavy oils either to synthetic crude oil or to RPPs. Upgrading may be done at an oil sands plant, regional merchant upgraders or integrated into a refinery producing RPPs.

Coal production, separation and processing:
Includes coal, lignite and peat exploration, deposit evaluation techniques, mining techniques, separation techniques, coking and blending, other processing such as coal to liquids, underground (in-situ) gasification.

Transportation of fossil fuels:
Includes transport of gaseous, liquid and solid hydrocarbons via pipelines (land and submarine) and their network evaluation, safety aspects of LNG transport and storage.

  • Crude oils and natural gas exploration
  • Crude oils and natural gas production and storage

Include enhanced recovery natural gas production.

  • Oil sands and heavy crude oil surface and sub-surface production and separation of bitumen, tailings management
  • Refining, processing and upgrading of fossil fuels
  • Coal production, separation and processing
  • Transportation of fossil fuels
  • None of the above

Energy-related R&D by area of technology

Report all 2023 R&D expenditures for fossil fuels within this reporting unit.

24. In 2023, what were this business's energy R&D expenditures on crude oils and natural gas exploration?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Crude oils and natural gas exploration:

Include development of advanced exploration methods (geophysical, geochemical, seismic, magnetic) for on-shore and off-shore prospecting.

In 2023, what were this business's energy R&D expenditures on crude oils and natural gas exploration?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for fossil fuels within this reporting unit.

25. In 2023, what were this business's energy R&D expenditures on crude oils and natural gas production and storage?

Include enhanced recovery.

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Crude oil and natural gas production (including enhanced recovery) and storage:

Include on-shore and off-shore deep drilling equipment and techniques for conventional oil and gas, secondary and tertiary recovery of oil and gas, hydro fracturing techniques, processing and cleaning of raw product, storage on remote platforms (e.g., Arctic, off-shore), safety aspects of off-shore platforms.

In 2023, what were this business's energy R&D expenditures on crude oils and natural gas production and storage?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for fossil fuels within this reporting unit.

26. In 2023, what were this business's energy R&D expenditures on oil sands and heavy crude oil surface and sub-surface production and separation of bitumen, tailings management?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Oil sands and heavy crude oils surface and sub-surface production and separation of the bitumen, tailings management:

Include surface and in-situ production (e.g., SAGD), tailings management.

In 2023, what were this business's energy R&D expenditures on oil sands and heavy crude oil surface and sub-surface production and separation of bitumen, tailings management?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for fossil fuels within this reporting unit.

27. In 2023, what were this business's energy R&D expenditures on refining, processing and upgrading of fossil fuels?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Refining, processing and upgrading:

Include processing of natural gas to pipeline specifications, and refining of conventional crude oils to refined petroleum products (RPPs), and the upgrading of bitumen and heavy oils either to synthetic crude oil or to RPPs. Upgrading may be done at an oil sands plant, regional merchant upgraders or integrated into a refinery producing RPPs.

In 2023, what were this business's energy R&D expenditures on refining, processing and upgrading of fossil fuels?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for fossil fuels within this reporting unit.

28. In 2023, what were this business's energy R&D expenditures on coal production, separation and processing?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Coal production, separation and processing:

Include coal, lignite and peat exploration, deposit evaluation techniques, mining techniques, separation techniques, coking and blending, other processing such as coal to liquids, underground (in-situ) gasification.

In 2023, what were this business's energy R&D expenditures on coal production, separation and processing?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for fossil fuels within this reporting unit.

29. In 2023, what were this business's energy R&D expenditures on transportation of fossil fuels?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Transportation of fossil fuels:

Include transport of gaseous, liquid and solid hydrocarbons via pipelines (land and submarine) and their network evaluation, safety aspects of LNG transport and storage.

In 2023, what were this business's energy R&D expenditures on transportation of fossil fuels?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Energy-related R&D by area of technology — Renewable energy resources

30. In 2023, did this business's total in-house and outsourced (contracted out or granted) R&D expenditures include renewable energy resources-related R&D in the following categories?

Select all that apply.

Solar photovoltaics (PV):
Include solar cell development, PV-module development, PV-inverter development, building-integrated PV-modules, PV-system development, other.

Solar thermal-power and high-temperature applications:
Include solar chemistry, concentrating collector development, solar thermal power plants, high-temperature applications for heat and power.

Solar heating and cooling:
Include daylighting, passive and active solar heating and cooling, collector development, hot water preparation, combined-space heating, solar architecture, solar drying, solar-assisted ventilation, swimming pool heating, low-temperature process heating, other.

Wind energy:
Include technology development, such as blades, turbines, converters structures, system integration, other.

Bio-energy - Biomass production/supply and transport:
Include improvement of energy crops, research on bio-energy production potential and associated land-use effects, supply and transport of bio-solids, bio-liquids, biogas and bio-derived energy products (e.g., ethanol, biodiesel), compacting and baling, other.

Bio-energy - Biomass conversion to fuels:
Include conventional bio-fuels, cellulosic-derived alcohols, biomass gas-to-liquids, other energy-related products and by-products.

Bio-energy - Biomass conversion to heat and electricity:
Include bio-based heat, electricity and combined heat and power (CHP).
Exclude multi-firing with fossil fuels.

Other bio-energy:
Include recycling and the use of municipal, industrial and agricultural waste as energy not covered elsewhere.

Small hydro - (less than 10 MW):
Include plants with capacity below 10 MW.

Large hydro - (greater than or equal to 10 MW):
Include plants with capacity of 10 MW and above.

Other renewable energy:
Include hot dry rock, hydro-thermal, geothermal heat applications (including agriculture), tidal power, wave energy, ocean current power, ocean thermal power, other.

  • Solar photovoltaics (PV)
  • Solar thermal-power and high-temperature applications
  • Solar heating and cooling
  • Wind energy
  • Bio-energy - biomass production and transportation
  • Bio-energy - biomass conversion to transportation fuel
  • Bio-energy - biomass conversion to heat and electricity
  • Other bio-energy
  • Small hydro (less than 10 MW)
  • Large hydro (greater than or equal to 10 MW)
  • Other renewable energy
    Include ocean and geothermal.
  • None of the above

Energy-related R&D by area of technology

Report all 2023 R&D expenditures for renewable energy resources within this reporting unit.

31. In 2023, what were this business's energy R&D expenditures on solar photovoltaics (PV)?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Solar photovoltaics (PV):

Include solar cell development, PV-module development, PV-inverter development, building-integrated PV-modules, PV-system development, other.

In 2023, what were this business's energy R&D expenditures on solar photovoltaics (PV)?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for renewable energy resources within this reporting unit.

32. In 2023, what were this business's energy R&D expenditures on solar thermal-power and high-temperature applications?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Solar thermal-power and high-temperature applications:

Include solar chemistry, concentrating collector development, solar thermal power plants, high-temperature applications for heat and power.

In 2023, what were this business's energy R&D expenditures on solar thermal-power and high-temperature applications?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for renewable energy resources within this reporting unit.

33. In 2023, what were this business's energy R&D expenditures on solar heating and cooling?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Solar heating and cooling:

Include daylighting, passive and active solar heating and cooling, collector development, hot water preparation, combined-space heating, solar architecture, solar drying, solar-assisted ventilation, swimming pool heating, low-temperature process heating, other.

In 2023, what were this business's energy R&D expenditures on solar heating and cooling?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for renewable energy resources within this reporting unit.

34. In 2023, what were this business's energy R&D expenditures on wind energy?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Wind energy:

Include technology development, such as blades, turbines, converters structures, system integration, other.

In 2023, what were this business's energy R&D expenditures on wind energy?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for renewable energy resources within this reporting unit.

35. In 2023, what were this business's energy R&D expenditures on bio-energy - biomass production and transport?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Bio-energy - Biomass production/supply and transport:

Include improvement of energy crops, research on bio-energy production potential and associated land-use effects, supply and transport of bio-solids, bio-liquids, biogas and bio-derived energy products (e.g., ethanol, biodiesel), compacting and baling, other.

In 2023, what were this business's energy R&D expenditures on bio-energy - biomass production and transport?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for renewable energy resources within this reporting unit.

36. In 2023, what were this business's energy R&D expenditures on bio-energy - biomass conversion to transportation fuel?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Bio-energy - Biomass conversion to transportation fuel:

Include conventional bio-fuels, cellulosic-derived alcohols, biomass gas-to-liquids, other energy-related products and by-products.

In 2023, what were this business's energy R&D expenditures on bio-energy - biomass conversion to transportation fuel?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for renewable energy resources within this reporting unit.

37. In 2023, what were this business's energy R&D expenditures on bio-energy - biomass conversion to heat and electricity?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Bio-energy - Biomass conversion to heat and electricity:

Include bio-based heat, electricity and combined heat and power (CHP).

Exclude multi-firing with fossil fuels.

In 2023, what were this business's energy R&D expenditures on bio-energy - biomass conversion to heat and electricity?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for renewable energy resources within this reporting unit.

38. In 2023, what were this business's energy R&D expenditures on other bio-energy?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Other bio-energy:

Include recycling and the use of municipal, industrial and agricultural waste as energy not covered elsewhere.

In 2023, what were this business's energy R&D expenditures on other bio-energy?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for renewable energy resources within this reporting unit.

39. In 2023, what were this business's energy R&D expenditures on small hydro (less than 10 MW)?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Small hydro - (less than 10 MW):

Include plants with capacity below 10 MW.

In 2023, what were this business's energy R&D expenditures on small hydro (less than 10 MW)?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for renewable energy resources within this reporting unit.

40. In 2023, what were this business's energy R&D expenditures on large hydro (greater than or equal to 10 MW)?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Large hydro - (greater than or equal to 10 MW):

Include plants with capacity of 10 MW or greater.

In 2023, what were this business's energy R&D expenditures on large hydro (greater than or equal to 10 MW)?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for renewable energy resources within this reporting unit.

41. In 2023, what were this business's energy R&D expenditures on other renewable energy?

Include ocean and geothermal.

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Other renewable energy:

Include hot dry rock, hydro-thermal, geothermal heat applications (including agriculture), tidal power, wave energy, ocean current power, ocean thermal power, other.

In 2023, what were this business's energy R&D expenditures on other renewable energy?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Energy-related R&D by area of technology — Nuclear fission and fusion

42. In 2023, did this business's total in-house and outsourced (contracted out or granted) R&D expenditures include nuclear fission and fusion-related R&D in the following categories?

Select all that apply.

Exploration, mining and preparation, tailings management:
Include development of advanced exploration methods (geophysical, geochemical) for prospecting, ore surface and in-situ production, uranium and thorium extraction and conversion, enrichment, handling of tailings and remediation.

Nuclear reactors:
Include nuclear reactors of all types and related system components.

Other fission:
Include nuclear safety, environmental protection (emission reduction or avoidance), radiation protection and decommissioning of power plants and related nuclear fuel cycle installations, nuclear waste treatment, disposal and storage, fissile material recycling, fissile materials control, transport of radioactive materials.

Fusion:
Include all types (e.g., magnetic confinement, laser applications).

  • Nuclear materials exploration, mining and preparation, tailings management
  • Nuclear reactors
  • Other fission
  • Fusion
  • None of the above

Energy-related R&D by area of technology

Report all 2023 R&D expenditures for nuclear fission and fusion within this reporting unit.

43. In 2023, what were this business's energy R&D expenditures on nuclear materials exploration, mining and preparation, tailings management?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Exploration, mining and preparation, tailings management:

Include development of advanced exploration methods (geophysical, geochemical) for prospecting, ore surface and in-situ production, uranium and thorium extraction and conversion, enrichment, handling of tailings and remediation.

In 2023, what were this business's energy R&D expenditures on nuclear materials exploration, mining and preparation, tailings management?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for nuclear fission and fusion within this reporting unit.

44. In 2023, what were this business's energy R&D expenditures on nuclear reactors?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Nuclear reactors:

Include nuclear reactors of all types and related system components.

In 2023, what were this business's energy R&D expenditures on nuclear reactors?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for nuclear fission and fusion within this reporting unit.

45. In 2023, what were this business's energy R&D expenditures on other fission?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Other fission:

Include nuclear safety, environmental protection (emission reduction or avoidance), radiation protection and decommissioning of power plants and related nuclear fuel cycle installations, nuclear waste treatment, disposal and storage, fissile material recycling, fissile materials control, transport of radioactive materials.

In 2023, what were this business's energy R&D expenditures on other fission?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for nuclear fission and fusion within this reporting unit.

46. In 2023, what were this business's energy R&D expenditures on fusion?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Fusion:

Include all types (e.g., magnetic confinement, laser applications).

In 2023, what were this business's energy R&D expenditures on fusion?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Energy-related R&D by area of technology — Electric power

47. In 2023, did this business's total in-house and outsourced (contracted out or granted) R&D expenditures include electric power-related R&D in the following categories?

Select all that apply.

Electric power generation in utility sector:
Include conventional and non-conventional technology (e.g., pulverised coal, fluidised bed, gasification-combined cycle, supercritical), re-powering, retrofitting, life extensions and upgrading of power plants, generators and components, super-conductivity, magneto hydrodynamic, dry cooling towers, co-firing (e.g., with biomass), air and thermal pollution reduction or avoidance, flue gas cleanup (excluding CO2 removal), CHP (combined heat and power) not covered elsewhere.

Electric power - combined heat and power in industry, buildings:
Include industrial applications, small scale applications for buildings.

Electricity transmission, distribution and storage:
Include solid state power electronics, load management and control systems, network problems, super-conducting cables, AC and DC high voltage cables, HVDC transmission, other transmission and distribution related to integrating distributed and intermittent generating sources into networks, all storage (e.g., batteries, hydro reservoirs, fly wheels), other.

  • Electric power generation in utility sector
  • Electric power - combined heat and power in industry, buildings
  • Electricity transmission, distribution and storage
  • None of the above

Energy-related R&D by area of technology

Report all 2023 R&D expenditures for electric power within this reporting unit.

48. In 2023, what were this business's energy R&D expenditures on electric power generation in utility sector?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Electric power generation in utility sector:

Include conventional and non-conventional technology (e.g., pulverised coal, fluidised bed, gasification-combined cycle, supercritical), re-powering, retrofitting, life extensions and upgrading of power plants, generators and components, super-conductivity, magneto hydrodynamic, dry cooling towers, co-firing (e.g., with biomass), air and thermal pollution reduction or avoidance, flue gas cleanup (excluding CO2 removal), CHP (combined heat and power) not covered elsewhere.

In 2023, what were this business's energy R&D expenditures on electric power generation in utility sector?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for electric power within this reporting unit.

49. In 2023, what were this business's energy R&D expenditures on electric power - combined heat and power in industry, buildings?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Electric power - combined heat and power in industry, buildings:

Include industrial applications, small scale applications for buildings.

In 2023, what were this business's energy R&D expenditures on electric power - combined heat and power in industry, buildings?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for electric power within this reporting unit.

50. In 2023, what were this business's energy R&D expenditures on electricity transmission, distribution and storage?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Electricity transmission, distribution and storage:

Include solid state power electronics, load management and control systems, network problems, super-conducting cables, AC and DC high voltage cables, HVDC transmission, other transmission and distribution related to integrating distributed and intermittent generating sources into networks, all storage (e.g., batteries, hydro reservoirs, fly wheels), other.

In 2023, what were this business's energy R&D expenditures on electricity transmission, distribution and storage?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Energy-related R&D by area of technology — Hydrogen and fuel cells

51. In 2023, did this business's total in-house and outsourced (contracted out or granted) R&D expenditures include hydrogen and fuel cells-related R&D in the following categories?

Select all that apply.

Other hydrogen:
Include end uses (e.g., combustion), other infrastructure and systems R&D (refuelling stations).

Stationary fuel cells:
Include electricity generation, other stationary end-use.

Mobile fuel cells:
Include portable applications.

  • Hydrogen production for process applications
  • Hydrogen production for transportation applications
  • Hydrogen transport and storage
  • Other hydrogen
  • Stationary fuel cells
  • Mobile fuel cells
  • None of the above

Energy-related R&D by area of technology

Report all 2023 R&D expenditures for hydrogen and fuel cells within this reporting unit.

52. In 2023, what were this business's energy R&D expenditures on hydrogen production for process applications?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

In 2023, what were this business's energy R&D expenditures on hydrogen production for process applications?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for hydrogen and fuel cells within this reporting unit.

53. In 2023, what were this business's energy R&D expenditures on hydrogen production for transportation applications?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

In 2023, what were this business's energy R&D expenditures on hydrogen production for transportation applications?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for hydrogen and fuel cells within this reporting unit.

54. In 2023, what were this business's energy R&D expenditures on hydrogen transport and storage?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

In 2023, what were this business's energy R&D expenditures on hydrogen transport and storage?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for hydrogen and fuel cells within this reporting unit.

55. In 2023, what were this business's energy R&D expenditures on other hydrogen?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Other hydrogen:

Include end uses (e.g., combustion), other infrastructure and systems R&D (refuelling stations).

In 2023, what were this business's energy R&D expenditures on other hydrogen?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for hydrogen and fuel cells within this reporting unit.

56. In 2023, what were this business's energy R&D expenditures on stationary fuel cells?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Stationary fuel cells:

Include electricity generation, other stationary end-use.

In 2023, what were this business's energy R&D expenditures on stationary fuel cells?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for hydrogen and fuel cells within this reporting unit.

57. In 2023, what were this business's energy R&D expenditures on mobile fuel cells?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Mobile fuel cells:

Include portable applications.

In 2023, what were this business's energy R&D expenditures on mobile fuel cells?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Energy-related R&D by area of technology — Energy efficiency

58. In 2023, did this business's total in-house and outsourced (contracted out or granted) R&D expenditures include energy efficiency-related R&D in the following categories?

Select all that apply.

Energy efficiency for industry:
Include reduction of energy consumption through improved use of energy and/or reduction or avoidance of air and other emissions related to the use of energy in industrial systems and processes (excluding bio-energy-related) through the development of new techniques, new processes and new equipment, other.

Energy efficiency for residential, institutional and commercial:
Include space heating and cooling, ventilation and lighting control systems other than solar technologies, low energy housing design and performance other than solar technologies, new insulation and building materials, thermal performance of buildings, domestic appliances, other.

Energy efficiency for transportation:
Include analysis and optimisation of energy consumption in the transport sector, efficiency improvements in light-duty vehicles, heavy-duty vehicles, non-road vehicles, public transport systems, engine-fuel optimisation, use of alternative fuels (liquid and gaseous, other than hydrogen), fuel additives, diesel engines, Stirling motors, electric cars, hybrid cars, air emission reduction, other.

Other energy efficiency:
Include waste heat utilisation (heat maps, process integration, total energy systems, low temperature thermodynamic cycles), district heating, heat pump development, reduction of energy consumption in the agricultural sector.

  • Energy efficiency applications for industry
  • Energy efficiency for residential, institutional and commercial sectors
  • Energy efficiency for transportation
  • Other energy efficiency
  • None of the above

Energy-related R&D by area of technology

Report all 2023 R&D expenditures for energy efficiency within this reporting unit.

59. In 2023, what were this business's energy R&D expenditures on energy efficiency applications for industry?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Energy efficiency for industry:

Include reduction of energy consumption through improved use of energy and/or reduction or avoidance of air and other emissions related to the use of energy in industrial systems and processes (excluding bio-energy-related) through the development of new techniques, new processes and new equipment, other.

In 2023, what were this business's energy R&D expenditures on energy efficiency applications for industry?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for energy efficiency within this reporting unit.

60. In 2023, what were this business's energy R&D expenditures on energy efficiency for residential, institutional and commercial sectors?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Energy efficiency for residential, institutional and commercial:

Include space heating and cooling, ventilation and lighting control systems other than solar technologies, low energy housing design and performance other than solar technologies, new insulation and building materials, thermal performance of buildings, domestic appliances, other.

In 2023, what were this business's energy R&D expenditures on energy efficiency for residential, institutional and commercial sectors?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for energy efficiency within this reporting unit.

61. In 2023, what were this business's energy R&D expenditures on energy efficiency for transportation?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Energy efficiency for transportation:

Include analysis and optimisation of energy consumption in the transport sector, efficiency improvements in light-duty vehicles, heavy-duty vehicles, non-road vehicles, public transport systems, engine-fuel optimisation, use of alternative fuels (liquid and gaseous, other than hydrogen), fuel additives, diesel engines, Stirling motors, electric cars, hybrid cars, air emission reduction, other.

In 2023, what were this business's energy R&D expenditures on energy efficiency for transportation?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for energy efficiency within this reporting unit.

62. In 2023, what were this business's energy R&D expenditures on other energy efficiency?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Other energy efficiency:

Include waste heat utilisation (heat maps, process integration, total energy systems, low temperature thermodynamic cycles), district heating, heat pump development, reduction of energy consumption in the agricultural sector.

In 2023, what were this business's energy R&D expenditures on other energy efficiency?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Energy-related R&D by area of technology — Other energy-related technologies

63. In 2023, did this business's total in-house and outsourced (contracted out or granted) R&D expenditures include other energy-related R&D in the following categories?

Select all that apply.

Carbon capture end-use:
Include industry in the end-use sector, such as steel production, manufacturing, etc. (exclude fossil fuel production and processing and electric power production).

Energy system analysis:
Include system analysis related to energy R&D not covered elsewhere, sociological, economical and environmental impact of energy which are not specifically related to one technology area listed in the sections above.

All other energy technologies:
Include energy technology information dissemination, studies not related to a specific technology area listed above.

  • Carbon capture, transport and storage related to fossil fuel production and processing
  • Carbon capture, transport and storage related to electric power production
  • Carbon capture, transport and storage related to industry in end-use sector
  • Energy system analysis
  • All other energy-related technologies
  • None of the above

Energy-related R&D by area of technology

Report all 2023 R&D expenditures for other energy-related technologies within this reporting unit.

64. In 2023, what were this business's energy R&D expenditures on carbon capture, transport and storage related to fossil fuel production and processing?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

In 2023, what were this business's energy R&D expenditures on carbon capture, transport and storage related to fossil fuel production and processing?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for other energy-related technologies within this reporting unit.

65. In 2023, what were this business's energy R&D expenditures on carbon capture, transport and storage related to electric power production?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

In 2023, what were this business's energy R&D expenditures on carbon capture, transport and storage related to electric power production?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for other energy-related technologies within this reporting unit.

66. In 2023, what were this business's energy R&D expenditures on carbon capture, transport and storage related to industry in end-use sector?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Carbon capture end-use:

Include industry in the end-use sector, such as steel production, manufacturing, etc. (exclude fossil fuel production and processing and electric power production).

In 2023, what were this business's energy R&D expenditures on carbon capture, transport and storage related to industry in end-use sector?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for other energy-related technologies within this reporting unit.

67. In 2023, what were this business's energy R&D expenditures on energy system analysis?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Energy system analysis:

Include system analysis related to energy R&D not covered elsewhere, sociological, economical and environmental impact of energy which are not specifically related to one technology area listed in the sections above.

In 2023, what were this business's energy R&D expenditures on energy system analysis?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

Report all 2023 R&D expenditures for other energy-related technologies within this reporting unit.

68. In 2023, what were this business's energy R&D expenditures on other energy-related technologies?

Exclude capital depreciation.

Please report all amounts in thousands of Canadian dollars.

Report '0' for no R&D expenditures.

Other energy-related technologies:

Include energy technology information dissemination, studies not related to a specific technology area listed above.

In 2023, what were this business's energy R&D expenditures on other energy-related technologies?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  CAN$ '000
Funds from this business  
Funds from federal, provincial or territorial government(s)  
All other Canadian sources of funds  
All foreign sources of funds  
Total in-house R&D  
Outsourced (contracted out or granted) within Canada  
Outsourced (contracted out or granted) outside Canada  
Total outsourced R&D  

69. Summary of total 2023 energy-related and total R&D expenditures

69. Summary of total 2023 energy-related R&D and total R&D expenditures
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Total energy-related R&D Total R&D
Total funds from this business    
Total funds from federal, provincial or territorial government(s)    
Total all other Canadian sources of funds    
Total all foreign sources of funds    
Total in-house R&D expenditures    
Total outsourced (contracted out or granted) within Canada    
Total outsourced (contracted out or granted) outside Canada    
Total outsourced (contracted out or granted) R&D expenditures    
Total R&D expenditures    

In-house R&D personnel in 2023

70. In 2023, how many in-house R&D personnel within Canada did this business have in the following R&D occupations?

Full-time equivalent (FTE)

R&D may be carried out by persons who work solely on R&D projects or by persons who devote only part of their time to R&D and the balance to other activities such as testing, quality control and production engineering. To arrive at the total effort devoted to R&D in terms of personnel, it is necessary to estimate the full-time equivalent of these persons working only part-time in R&D.

Full-time equivalent (FTE) = Number of persons who work solely on R&D projects + the time of persons working only part of their time on R&D.

Example calculation: If out of four scientists engaged in R&D work, one works solely on R&D projects and the remaining three devote only one quarter of their working time to R&D, then: FTE = 1 + 1/4 + 1/4 + 1/4 = 1.75 scientists.

R&D personnel

Include:

  • permanent, temporary and casual R&D employees
  • independent on-site R&D consultants and contractors working in your business's offices, laboratories, or other facilities
  • employees engaged in R&D -related support activities.

Researchers and research managers are composed of:

  • Scientists, social scientists, engineers and researchers are professionals engaged in the conception or creation of new knowledge. They conduct research and improve or develop concepts, theories, models, techniques instrumentation, software or operational methods. They may be certified by provincial or territorial educational authorities, provincial, territorial or national scientific or engineering associations.
  • Senior research managers plan or manage R&D projects and programs. They may be certified by provincial or territorial educational authorities, provincial, territorial or national scientific or engineering associations.

R&D technical, administrative and support staff are composed of:

  • Technicians and technologists and research assistants are persons whose main tasks require technical knowledge and experience in one or more fields of engineering, the physical and life sciences, or the social sciences, humanities and the arts. They participate in R&D by performing scientific and technical tasks involving the application of concepts, operational methods and the use of research equipment, normally under the supervision of researchers. They may be certified by provincial or territorial educational authorities, provincial, territorial or national scientific or engineering associations.
  • Other R&D technical, administrative support staff include skilled and unskilled craftsmen, and administrative, secretarial and clerical staff participating in R&D projects or directly associated with such projects.

On-site R&D consultants and contractors are individuals hired 1) to perform project-based work or to provide goods at a fixed or ascertained price or within a certain time or 2) to provide advice or services in a specialized field for a fee and, in both cases, work at the location specified and controlled by the contracting company or organization.

In 2023, how many in-house R&D personnel within Canada did this business have in the following R&D occupations?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Men (FTEs) Women (FTRs) Non-binary persons (FTEs) Total (FTEs)
Researchers and research managers 
Scientists, social scientists, engineers and researchers
Include software developers and programmers.
       
Senior research managers        
Total researchers and research managers        
R&D technical, administrative and support staff 
Technicians, technologists and research assistants
Include software technicians.
       
Other R&D technical, administrative and support staff        
Total R&D technical, administrative and support staff        
Other R&D occupations 
On-site R&D consultants and contractors        
Total in-house R&D personnel within Canada        

71. Of this business's total in-house R&D personnel reported above, what percentage performed software-related activities?

Software-related sciences and technologies

  • Software engineering and technology: computer software engineering, computer software technology and other related computer software engineering and technologies.
  • Computer sciences: computer science, artificial intelligence, cryptography and other related computer sciences.
  • Information technology and bioinformatics: information technology, informatics, bioinformatics, biomathematics and other related information technologies.

Percentage of software-related activities

72. In 2023, how were the [Amount] total in-house R&D personnel distributed by province or territory?

Please report in full time equivalents (FTE).

R&D personnel

Include:

  • permanent, temporary and casual R&D employees
  • independent on-site R&D consultants and contractors working in your business's offices, laboratories, or other facilities
  • employees engaged in R&D -related support activities.

Researchers and research managers are composed of:

  • Scientists, social scientists, engineers and researchers are professionals engaged in the conception or creation of new knowledge. They conduct research and improve or develop concepts, theories, models, techniques instrumentation, software or operational methods. They may be certified by provincial or territorial educational authorities, provincial, territorial or national scientific or engineering associations.
  • Senior research managers plan or manage R&D projects and programs. They may be certified by provincial or territorial educational authorities, provincial, territorial or national scientific or engineering associations.

R&D technical, administrative and support staff are composed of:

  • Technicians and technologists and research assistants are persons whose main tasks require technical knowledge and experience in one or more fields of engineering, the physical and life sciences, or the social sciences, humanities and the arts. They participate in R&D by performing scientific and technical tasks involving the application of concepts, operational methods and the use of research equipment, normally under the supervision of researchers. They may be certified by provincial or territorial educational authorities, provincial, territorial or national scientific or engineering associations.
  • Other R&D technical, administrative support staff include skilled and unskilled craftsmen, and administrative, secretarial and clerical staff participating in R&D projects or directly associated with such projects.

On-site R&D consultants and contractors are individuals hired 1) to perform project-based work or to provide goods at a fixed or ascertained price or within a certain time or 2) to provide advice or services in a specialized field for a fee and, in both cases, work at the location specified and controlled by the contracting company or organization.

Full-time equivalent (FTE)

R&D may be carried out by persons who work solely on R&D projects or by persons who devote only part of their time to R&D, and the balance to other activities such as testing, quality control and production engineering. To arrive at the total effort devoted to R&D in terms of personnel, it is necessary to estimate the full-time equivalent of these persons working only part-time in R&D.

Full-time equivalent (FTE): Number of persons who work solely on R&D projects + the time of persons working only part of their time on R&D.

Example calculation: If out of four scientists engaged in R&D work, one works solely on R&D projects and the remaining three devote only one quarter of their working time to R&D, then: FTE = 1 + 1/4 + 1/4 + 1/4 = 1.75 scientists.

In 2023, how were the [Amount] total in-house R&D personnel distributed by province or territory?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Number of researchers and research managers Number of R&D technical, administrative and support staff Number of on-site R&D consultants and contractors
Newfoundland and Labrador      
Prince Edward Island      
Nova Scotia      
New Brunswick      
Quebec      
Ontario      
Manitoba      
Saskatchewan      
Alberta      
British Columbia      
Yukon      
Northwest Territories      
Nunavut      
Total in-house R&D personnel within Canada      
Total R&D personnel previously reported from question 70      

Technology and technical assistance payments in 2023

73. In 2023, did this business make or receive payments inside or outside Canada for the following technology and technical assistance?

Technology and technical assistance payments

Definitions (equivalent to the Canadian Intellectual Property Office - opens in a new browser window)

  1. Patent
    Government grant giving the right to exclude others from making, using or selling an invention.
  2. Copyright
    Legal protection for literary, artistic, dramatic or musical works, computer programs, performer's performances, sound recordings, and communication signals.
  3. Trademark
    A word, symbol or design, or combination of these, used to distinguish goods or services of one person or organization from those of others in the marketplace.
  4. Industrial design
    Legal protection against imitation of the shape, pattern, or ornamentation of an object.
  5. Integrated circuit topography
    Three-dimensional configurations of the elements and interconnections embodied in an integrated circuit product.
  6. Original software
    Computer programs and descriptive materials for both systems and applications. Original software can be created in-house or outsourced and includes packaged software with customization.
  7. Packaged or off-the-shelf software
    Packaged software purchased for organizational use and excludes software with customization.
  8. Databases
    Data files organized to permit effective access and use of the data including access clinical trial registries and administrative health data for research purposes. Includes partnerships supporting the development of databases, such as patient or clinical trial registries or biobanks, to be used for research purposes (e.g., developing a national bladder cancer patient registry with Bladder Cancer Canada for future research).
  9. Other technology and technical assistance
    Technical assistance, industrial processes and know-how including technology transfer and know how such as batch pilot production, method develop, and validation related to technology or manufacturing transfer.
In 2023, did this business make or receive payments inside or outside Canada for the following technology and technical assistance?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Made Payments Received Payments Both made and received payments Not applicable
Patents        
Copyrights        
Trademarks        
Industrial designs        
Integrated circuit topography        
Original software        
Packaged or off-the-shelf software        
Databases
Useful life exceeding one year.
       
Other technology and technical assistance
Include technical assistance, industrial processes and know-how.
       

74. In 2023, how much did this business pay to other organizations for technology and technical assistance?

Please report all amounts in thousands of Canadian dollars.

Report '1' for payments made between $1 and $999.

Technology and technical assistance payments

Definitions (equivalent to the Canadian Intellectual Property Office - opens in a new browser window)

  1. Patent
    Government grant giving the right to exclude others from making, using or selling an invention.
  2. Copyright
    Legal protection for literary, artistic, dramatic or musical works, computer programs, performer's performances, sound recordings, and communication signals.
  3. Trademark
    A word, symbol or design, or combination of these, used to distinguish goods or services of one person or organization from those of others in the marketplace.
  4. Industrial design
    Legal protection against imitation of the shape, pattern, or ornamentation of an object.
  5. Integrated circuit topography
    Three-dimensional configurations of the elements and interconnections embodied in an integrated circuit product.
  6. Original software
    Computer programs and descriptive materials for both systems and applications. Original software can be created in-house or outsourced and includes packaged software with customization.
  7. Packaged or off-the-shelf software
    Packaged software purchased for organizational use and excludes software with customization.
  8. Databases
    Data files organized to permit effective access and use of the data including access clinical trial registries and administrative health data for research purposes. Includes partnerships supporting the development of databases, such as patient or clinical trial registries or biobanks, to be used for research purposes (e.g., developing a national bladder cancer patient registry with Bladder Cancer Canada for future research).
  9. Other
    Technical assistance, industrial processes and know-how including technology transfer and know how such as batch pilot production, method develop, and validation related to technology or manufacturing transfer.
In 2023, how much did this business pay to other organizations for technology and technical assistance?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Payments made within Canada
CAN$ '000
Payments made outside Canada
CAN$ '000
Payments made to parent, affiliated or subsidiary companies 
Patents    
Copyrights    
Trademarks    
Industrial designs    
Integrated circuit topography    
Original software    
Packaged or off-the-shelf software    
Databases
Useful life exceeding one year.
   
Other technology and technical assistance
Include technical assistance, industrial processes and know-how.
   
Total payments made to parent, affiliated or subsidiary companies    
Payments made to other companies, organizations or individuals 
Patents    
Copyrights    
Trademarks    
Industrial designs    
Integrated circuit topography    
Original software    
Packaged or off-the-shelf software    
Databases
Useful life exceeding one year.
   
Other technology and technical assistance
Include technical assistance, industrial processes and know-how.
   
Total payments made to other companies, organizations or individuals    
Total payments made to other organizations for technology and technical assistance    

75. In 2023, how much did this business receive from other organizations for technology and technical assistance?

Please report all amounts in thousands of Canadian dollars.

Report '1' for payments received between $1 and $999.

Technology and technical assistance payments

Definitions (equivalent to the Canadian Intellectual Property Office - opens in a new browser window)

  1. Patent
    Government grant giving the right to exclude others from making, using or selling an invention.
  2. Copyright
    Legal protection for literary, artistic, dramatic or musical works, computer programs, performer's performances, sound recordings, and communication signals.
  3. Trademark
    A word, symbol or design, or combination of these, used to distinguish goods or services of one person or organization from those of others in the marketplace.
  4. Industrial design
    Legal protection against imitation of the shape, pattern, or ornamentation of an object.
  5. Integrated circuit topography
    Three-dimensional configurations of the elements and interconnections embodied in an integrated circuit product.
  6. Original software
    Computer programs and descriptive materials for both systems and applications. Original software can be created in-house or outsourced and includes packaged software with customization.
  7. Packaged or off-the-shelf software
    Packaged software purchased for organizational use and excludes software with customization.
  8. Databases
    Data files organized to permit effective access and use of the data including access clinical trial registries and administrative health data for research purposes. Includes partnerships supporting the development of databases, such as patient or clinical trial registries or biobanks, to be used for research purposes (e.g., developing a national bladder cancer patient registry with Bladder Cancer Canada for future research).
  9. Other
    Technical assistance, industrial processes and know-how including technology transfer and know how such as batch pilot production, method develop, and validation related to technology or manufacturing transfer.
In 2023, how much did this business receive from other organizations for technology and technical assistance?
Table summary
This table contains no data. It is an example of an empty data table used by respondents to provide data to Statistics Canada.
  Payments received from within Canada
CAN$ '000
Payments received from outside Canada
CAN$ '000
Payments received from parent, affiliated or subsidiary companies
Patents    
Copyrights    
Trademarks    
Industrial designs    
Integrated circuit topography    
Original software    
Packaged or off-the-shelf software    
Databases
Useful life exceeding one year.
   
Other technology and technical assistance
Include technical assistance, industrial processes and know-how.
   
Total payments received from parent, affiliated or subsidiary companies    
Payments received from other companies, organizations or individuals
Patents    
Copyrights    
Trademarks    
Industrial designs    
Integrated circuit topography    
Original software    
Packaged or off-the-shelf software    
Databases
Useful life exceeding one year.
   
Other technology and technical assistance
Include technical assistance, industrial processes and know-how.
   
Total payments received from other companies, organizations or individuals    
Total payments received from other organizations for technology and technical assistance    

Environmental and clean technology R&D expenditures in 2023

76. In 2023, what percentage of this business's total expenditures of $ [Amount] for R&D performed in-house within Canada was related to research and development of environmental and clean technologies?

Environmental and clean technology is defined as any process, product, or service that reduces environmental impacts: through environmental protection activities that prevent, reduce or eliminate pollution or any other degradation of the environment, resource management activities that result in the more efficient use of natural resources, thus safeguarding against their depletion; or the use of goods that have been adapted to be significantly less energy- or resource-intensive than the industry standard.

Report '0' for no environmental and clean technology R&D expenditures.

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

Percentage of environmental and clean technology R&D

77. In 2023, in which of the following categories of environmental and clean technology did this business perform R&D activities?

Select all that apply.

Air pollution management: Activities aimed at reducing the emissions of pollutants (including greenhouse gases) to the atmosphere. Include pollution abatement and control (e.g., end-of-pipe processes) and pollution prevention (e.g., integrated processes), as well as related measurement, control, laboratories and the like.

Solid waste management: Activities related to the collection, treatment, storage, disposal, and recycling of all domestic, industrial, non-hazardous and hazardous waste (including low-level radioactive waste). Include monitoring activities. Exclude radioactive waste and mine tailings handling and treatment (to be reported under Protection against radiation and Wastewater management, respectively).

Wastewater management: Activities aimed at pollution reduction or prevention through the abatement of pollutants or the reduction of the release of wastewater. Include measures aimed at reducing pollutants before discharge, reducing the release of wastewater, septic tanks, treatment of cooling water, handling and treatment of mine tailings, etc.

Protection and remediation of soil, groundwater and surface water: Activities aimed at the prevention of pollution infiltration: remediation or cleaning up of soils and water bodies; protection of soil from erosion, salinization and physical degradation; monitoring, control, laboratories and the like. Exclude management of wastewater released to surface waters, municipal sewer systems or soil, or injected underground (to be reported under Wastewater management) and protection of biodiversity and habitat (to be reported under Protection of biodiversity and habitat).

Protection of biodiversity and habitat: Activities related to protecting wildlife and habitat from the effects of economic activity, and to restoring wildlife or habitat that has been adversely affected by such activity. Include related environmental measurements, monitoring, control, laboratories and the like.

Noise and vibration abatement: Activities aimed at controlling or reducing industrial and transport noise and vibration for the sole purpose of protecting the environment. Include preventive in-process modifications at the source, construction of anti-noise/vibration facilities, measurement, control, laboratories and the like.

Protection against radiation: Activities aimed at preventing, reducing, or eliminating the negative consequences of radiation on the environment. This includes all handling, transportation, and treatment of radioactive waste (i.e. waste that requires shielding during normal handling and transportation due to high radionuclide content), the protection of ambient media, measurement, control, laboratories and the like, as well as any other activities related to the containment of radioactive waste. Exclude activities and measures related to low-level radioactive waste (to be reported under Solid waste management), the prevention of technological hazards (e.g., external safety of nuclear power plants), and measures taken to protect workers.

Heat or energy savings and management: Activities aimed at reducing the intake of energy through in-process modifications (such as adjustment of production processes or heat and electricity co-generation), as well as reducing heat and energy losses. This includes insulation activities, energy recovery, measurement, control, laboratories and the like.

Renewable energy: Energy obtained from resources that naturally replenish or renew within a human lifespan (i.e. the resource is a sustainable source of energy). This includes wind, solar, aero-thermal, geothermal, hydrothermal and ocean energy, hydropower, biomass, landfill gas, sewage treatment plant gas and biogases.

  • Air pollution management
    e.g., greenhouse gas control technologies or management services, physical or chemical treatment technologies, air pollution modeling and mapping services
  • Solid waste management
    e.g., collection of waste, recycling and organics, compaction-related technologies, landfill leachate collection and containment technologies
  • Wastewater management
    e.g., physical or chemical treatments of industrial wastewater, mine tailing handling and treatment, biological treatments of sewage
  • Protection and remediation of soil, groundwater and surface water
    e.g., in situ and ex situ biological, physical, chemical, thermal treatments, containment
  • Protection of biodiversity and habitat
  • Noise and vibration abatement
    Exclude R&D related to workers' health and safety.
  • Protection against radiation
    Exclude R&D related to workers' health and safety.
  • Heat and energy savings and management
    e.g., efficient equipment (advance insulation, high efficiency pumps or burners (Energy Star certified), etc.), energy storage technologies (flywheels, fuel cells, etc.), lighting upgrades, smart grid services and associated technologies
  • Fuel efficient vehicles and transportation goods or technologies
    e.g., electric and hybrid vehicles, vehicles using alternative fuels, alternative fuel retrofits on existing vehicles, low-rolling resistance tires
  • Production of energy from renewable sources
    e.g., equipment, services, and technologies used to produce electricity or heat from renewable sources
  • Production of nuclear energy
    e.g., equipment, services, and technologies used to produce electricity or heat from nuclear energy
    Exclude the R&D on feedstock used to produce energy (such as uranium).
  • Other environmental protection or resource management activities
    Specify the other environmental protection or resource management activities

Notification of intent to extract web data

79. Does this business have a website?

Notification of intent to extract web data

Statistics Canada engages in web-data extraction, also known as web scraping, which is a process by which information is gathered and copied from the Web using automated scripts or robots, for retrieval and analysis. As a result, we may visit the website for this business to search for and compile additional information. The use of web scraping is part of a broader effort to reduce the response burden on businesses, as well as produce additional statistical indicators to ensure that our data remain accurate and relevant.
We will strive to ensure that the data collection does not interfere with the functionality of the website. Any data collected will be used by Statistics Canada for statistical and research purposes only, in accordance with the agency's privacy and confidentiality mandate. All information collected by Statistics Canada is strictly protected.

More information regarding Statistics Canada's web scraping initiative.

Learn more about Statistics Canada's transparency and accountability.

If you have any questions or concerns, please contact Statistics Canada Client Services, toll-free at 1-877-949-9492 (TTY: 1-800-363-7629) or by email at infostats@statcan.gc.ca- this link will open in a new window. Additional information about this survey can be found by selecting the following link: Information for survey participants (ISP).

Changes or events

80. Indicate any changes or events that affected the reported values for this business, compared with the last reporting period.

Select all that apply.

  • Outsourcing of R&D project(s)
  • Initiation of new R&D project(s)
  • Completion of existing R&D project(s)
  • Major change in funding of R&D project(s) (loss of funding)
  • Major change in funding of R&D project(s) (increase in funding)
  • Organizational change that affected R&D activities (expansion, reduction, restructuring)
  • Economic change that affected R&D activities
  • Lack of availability of qualified R&D personnel
  • Other
    Specify the other changes or events:
  • No changes or events

Contact person

81. Statistics Canada may need to contact the person who completed this questionnaire for further information.

Is the provided given names and the provided family name the best person to contact?

  • Yes
  • No

Who is the best person to contact about this questionnaire?

  • First name:
  • Last name:
  • Title:
  • Email address:
  • Telephone number (including area code):
  • Extension number (if applicable):
    The maximum number of characters is 5.
  • Fax number (including area code):

Feedback

82. How long did it take to complete this questionnaire?

Include the time spent gathering the necessary information.

  • Hours:
  • Minutes:

83. Do you have any comments about this questionnaire?