| Province of residence | Unweighted | Weighted |
|---|---|---|
| Percentage | ||
| Newfoundland and Labrador | 21.0 | 14.7 |
| Prince Edward Island | 20.9 | 19.6 |
| Nova Scotia | 25.6 | 22.3 |
| New Brunswick | 24.3 | 20.9 |
| Quebec | 26.0 | 22.7 |
| Ontario | 27.0 | 25.0 |
| Manitoba | 28.7 | 25.2 |
| Saskatchewan | 26.3 | 23.4 |
| Alberta | 24.0 | 21.3 |
| British Columbia | 28.2 | 26.5 |
| Canada | 26.0 | 23.8 |
| Calibration groups | Number of groups |
|---|---|
| Region/Province of entry by duration of stay | 18 |
| Calibration groups | Number of groups |
|---|---|
| Country of residence | 24 |
| Country of residence by duration | 48 |
| Region by duration | 10 |
In December 2025, questions measuring the Labour Market Indicators were added to the Labour Force Survey as a supplement.
Questionnaire flow within the collection application is controlled dynamically based on responses provided throughout the survey. Therefore, some respondents will not receive all questions, and there is a small chance that some households will not receive any questions at all. This is based on their answers to certain LFS questions.
ENTRY_Q01 / EQ 1 - From the following list, please select the household member that will be completing this questionnaire on behalf of the entire household.
DPE_Q01 / EQ 2 - In the last 12 months, did you use an Internet platform or an app to provide paid taxi or ride services in order to earn income?
DPE_Q02 / EQ 3 - What platforms or apps did you use to provide taxi or ride services in the last 12 months?
DPE_Q03 / EQ 4 - In the last 12 months, did you use an Internet platform or an app to carry out the delivery of food or other goods, in order to earn income?
DPE_Q04 / EQ 5 - What platforms or apps did you use to carry out the delivery of food or other goods in the last 12 months?
DPE_Q05 / EQ 6 - In the last 12 months, did you use an Internet platform or an app to sell goods or advertise them for sale in order to earn income for yourself?
DPE_Q06 / EQ 7 - What platforms or apps did you use to sell goods or advertise them for sale in the last 12 months?
DPE_Q07 / EQ 8 - In the last 12 months, did you use an Internet platform or an app to provide any of the following services in order to earn income?
DPE_Q17 / EQ 9 - In the last 12 months, did you use an Internet platform or an app to rent out something that you own in order to earn income?
DPE_Q18 / EQ 10 - Did you spend any time working as part of renting out the room, house or accommodation?
DPE_Q15 / EQ 11 - In the last 12 months, how were you paid for the work you carried out through these Internet platforms or apps?
| The clients always paid you directly | You were always paid through the platform or app | Sometimes the client paid you, sometimes the platform or app | Other | |
|---|---|---|---|---|
| Taxi or ride services | ||||
| Delivery of food or other goods | ||||
| Selling goods or advertising them for sale | ||||
| Cleaning or handiwork | ||||
| Pet or house sitting | ||||
| Child or elderly care | ||||
| Medical, mental health or other health care services | ||||
| Tutoring, teaching or training | ||||
| Programming, coding or data analysis | ||||
| Web, graphic design or video editing | ||||
| Text editing, proofreading or translation | ||||
| Data or text entry, transcription | ||||
| Tagging or rating pictures or videos | ||||
| Creating content such as videos, blogs or podcasts | ||||
| Professional services | ||||
| Other services | ||||
| Renting out a room, a house, or any accommodation | ||||
| Renting out a car, truck or van | ||||
| Renting out something else |
DPE_Q19 / EQ 12 - Did the apps or platforms you used in the last 12 months to earn income exercise control over any aspects of your work?
Is it:
| Controlled many aspects of your work | Controlled some aspects of your work |
Controlled few or no aspects of your work e.g. Zoom, MS teams, personal website |
|
|---|---|---|---|
| Taxi or ride services | |||
| Delivery of food or other goods | |||
| Selling goods or advertising them for sale | |||
| Cleaning or handiwork | |||
| Pet or house sitting | |||
| Child or elderly care | |||
| Medical, mental health or other health care services | |||
| Tutoring, teaching or training | |||
| Programming, coding or data analysis | |||
| Web, graphic design or video editing | |||
| Text editing, proofreading or translation | |||
| Data or text entry, transcription | |||
| Tagging or rating pictures or videos | |||
| Creating content such as videos, blogs or podcasts | |||
| Professional services | |||
| Other services | |||
| Renting out a room, a house, or any accommodation | |||
| Renting out a car, truck or van | |||
| Renting out something else |
DPE_Q16 / EQ 13 - Did you work for income or profit using any of these Internet platforms or apps last week?
DPE_Q20 / Q14 - What is the main reason why you started working through an Internet platform or app?
The Health Statistics Program at Statistics Canada is pleased to introduce a new webinar series tailored for health data users. These 1-hour sessions held every 2–3 months, will be customized based on your feedback to reflect your needs and interests.
Date: November 21, 2025
French session: 11:00 a.m. (EST)
English session: 1:00 p.m. (EST)
Register now: Complete the registration form to secure your spot.
This first session in the series is designed to guide you through Statistics Canada’s rich and diverse collection of health data.
Researchers, analysts, policymakers, and health professionals interested in leveraging Statistics Canada’s health data for research and decision-making.
For questions, contact: statcan.hspoutreach-sensibilisationpss.statcan@statcan.gc.ca
Use filters to below to change the focus of your results in the consultation catalogue.
| Title | Sorting date | Release date | Video category | Description |
|---|---|---|---|---|
| [Video title] | [release-date] | Release date: [release-date] | [video-category] | [teaser] |
| Celebrating 25 Years of Partnership | 2025-10-10 | Release date: October 10, 2025 | About Statistics Canada | This video shares reflections of some important contributions that the Research Data Centres (RDCs) have had on the research careers of our academic community in Canada. |
Why are we conducting this survey?
The Survey on Health Care Access and Experiences - Primary, Emergency and Hospital Care (SHCAE-PEHC) aims to better understand how Canadians navigate the health care system, including any challenges or barriers they may face. The survey covers various topics such as access to and experiences with primary health care, emergency room care, hospital care, unmet health care needs, prescription costs, and insurance coverage.
Survey results may help Health Canada, the Public Health Agency of Canada, and provincial ministries of health in making informed decisions about the delivery of health care services and in developing and improving health care programs and policies to better serve the Canadian population.
Your information may also be used by Statistics Canada for other statistical and research purposes.
Although voluntary, your participation is important so that the information collected is as accurate and complete as possible.
Other important information
Authorization and confidentiality
Data are collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19. Your information will be kept strictly confidential.
Record linkages
To enhance the data from this survey and to reduce the response burden, Statistics Canada will combine the information you provide with information from the tax data of all members of your household. Your provincial ministry of health and the Institut de la statistique du Québec for Quebec respondents may combine the information you provide with other survey or administrative data sources.
Statistics Canada may also combine the information you provide with other survey or administrative data sources.
Contact us if you have any questions or concerns about record linkage:
Email: infostats@statcan.gc.ca
Telephone: 1-877-949-9492
Mail:
Chief Statistician of Canada
Statistics Canada
Attention of Director, Centre for Population Health Data
150 Tunney's Pasture Driveway
Ottawa, Ontario K1A 0T6
Including yourself, how many people usually live in your household?
Including yourself, how many people [18] years of age or older usually live in your household?
Including yourself, are any people in your household currently serving as a full-time member (Regular or Reserve Force) of the Canadian Armed Forces?
Include members of the Regular Officer's Training Program (ROTP).
Exclude part-time members of the Canadian Armed Forces and civilian employees working for the Department of National Defence.
Provide your first and last name.
To determine which geographic region you live in, please provide your postal code.
In which province or territory do you currently live?
Is this dwelling owned by a member of this household?
Would you say:
What is your date of birth?
What is your age?
The following questions are about sex at birth and gender.
What was your sex at birth?
Sex refers to sex assigned at birth.
What is your gender?
Gender refers to current gender which may be different from sex assigned at birth and may be different from what is indicated on legal documents.
The following question concerns your activities during the past 12 months.
During the past 12 months, was your main activity working at a job or business, looking for paid work, going to school, caring for children, household work, retired or something else?
If the main activity was "sickness" or "short-term illness", indicate the usual main activity.
The following questions are about health. By health, we mean not only the absence of disease or injury but also physical, mental and social well-being.
In general, how is your health?
Would you say:
In general, how is your mental health?
Would you say:
Thinking about the amount of stress in your life, how would you describe most of your days?
Would you say:
Using a scale of 0 to 10, where 0 means "Very dissatisfied" and 10 means "Very satisfied", how do you feel about your life as a whole right now?
Now a few questions about chronic pain. Chronic pain is defined as pain that persists or recurs for more than three months.
Do you live with chronic pain?
Include any pain that has persisted or has been recurring for at least three months, such as pain resulting from chronic migraine, cancer, arthritis, a surgery or injury, or another underlying disease or issue; or pain that has persisted or has been recurring for at least three months with no identifying causes.
Was this chronic pain diagnosed by a health professional?
The next question is about long-term mental health conditions, like depression, and neurodevelopmental conditions, like autism. These are conditions which are expected to last or have already lasted 6 months or more and that have been diagnosed by a health professional.
Have you been diagnosed by a health professional with any of the following long-term mental health or neurodevelopmental conditions?
Include only conditions you are currently experiencing that have lasted or are expected to last six months or more.
Select all that apply.
Do you have:
The next question is about long-term health conditions. These are conditions which are expected to last or have already lasted 6 months or more and that have been diagnosed by a health professional.
Have you been diagnosed by a health professional with any of the following long-term health conditions?
Include only conditions that have lasted or are expected to last six months or more.
Select all that apply.
Do you have:
Do you identify as a person with a disability?
A person with a disability is a person who has a long-term difficulty or condition, such as vision, hearing, mobility, flexibility, dexterity, pain, learning, developmental, memory or mental health-related impairments, that limit their daily activities inside or outside the home such as at school, work, or in the community in general.
Now, here are some questions about primary health care. This type of health care is often delivered by family doctors or nurse practitioners.
Do you have a regular health care provider? By this, we mean a primary health care professional that you can consult with when you need care or advice for your health.
Select "Yes, another health professional" if you receive regular care from locums.
When you consult with [this family doctor/this nurse practitioner/this other health professional], do you have to pay out-of-pocket for your consultation because they work in a private pay model?
Exclude any fees associated with medical notes for work or school, expedited blood work, prescription renewals, cosmetic procedures, travel medicine advice and vaccines, tests requested by employers or insurance companies and other services that are not covered by the universal health care system.
Some patients receive primary health care from a team of health professionals working together to provide coordinated services and care. In addition to family doctors and nurses, these teams could include social workers, dieticians and pharmacists, but do not include medical specialists (e.g., cardiologists, oncologists).
Are you a patient of a team of health professionals that work together to provide you with coordinated services and care?
Exclude care provided by teams of medical specialists (e.g., cardiologists, oncologists).
Depending on where you live, these teams might be called a Family Health Team, Family Medicine Group, Integrated Care Network or Primary Care Network.
Do you have to pay out-of-pocket for any of the services provided by the team of health professionals?
Exclude any fees associated with medical notes for work or school, expedited blood work, prescription renewals, cosmetic procedures, travel medicine advice and vaccines, tests requested by employers or insurance companies and other services that are not covered by the universal health care system.
Why do you not have a regular health care provider?
Select all that apply.
Would you say:
When you contact your [family doctor's/nurse practitioner's/other health professional's/team of health professionals'] office during regular practice hours with a medical concern or question, not related to appointments, how often do you get an answer from someone that same day?
This could be by phone, through email or electronically.
Include contacts for issues such as test results or questions about referrals.
Exclude contacts to book appointments.
Are you able to get blood tests at your [family doctor's/nurse practitioner's/other health professional's/team of health professionals'] office?
Include situations where the tests are available in the same building.
Do you usually speak in English, in French or in another language with your [family doctor/nurse practitioner/other health professional/team of health professionals]?
Exclude the use of translation or interpretation services.
Would you say:
Is this the language you would like to speak with your [family doctor/nurse practitioner/other health professional/team of health professionals]?
What language would you like to speak with your [family doctor/nurse practitioner/other health professional/team of health professionals]?
Would you say:
You said your regular health care provider is another health professional. Do you have a family doctor or nurse practitioner?
Now some questions about access to care at [your family doctor's office/your nurse practitioner's office/your other health professional's office/your team of health professionals' office/the nearest place for health care].
Does [your family doctor's office/your nurse practitioner's office/your other health professional's office/your team of health professionals' office/the nearest place for health care] offer care during the following times?
Include both in-person and virtual consultations such as over the telephone, by video, or written correspondence.
In the past 12 months, did you experience difficulties getting care from [your family doctor's office/your nurse practitioner's office/your other health professional's office/your team of health professionals' office/the nearest place for health care] during weekday evenings (for example, 5:00 p.m. to 9:00 p.m. Monday to Friday)?
What type of difficulties did you experience when getting care from [your family doctor's office/your nurse practitioner's office/your other health professional's office/your team of health professionals' office/the nearest place for health care] during weekday evenings?
Select all that apply.
In the past 12 months, did you experience difficulties getting care from [your family doctor's office/your nurse practitioner's office/your other health professional's office/your team of health professionals' office/the nearest place for health care] during weekends or holidays?
What type of difficulties did you experience when getting care from [your family doctor's office/your nurse practitioner's office/your other health professional's office/your team of health professionals' office/the nearest place for health care] during weekends or holidays?
Select all that apply.
In the past 12 months, did you need any care during the middle of the night?
Include both in-person and virtual consultations such as over the telephone, by video, or written correspondence.
The last time you needed care during the middle of the night, where did you receive this care?
Include both in-person and virtual consultations such as over the telephone, by video, or written correspondence.
In the past 12 months, did you experience difficulties getting care during the middle of the night?
What type of difficulties did you experience when getting care during the middle of the night?
Select all that apply.
The following question will ask you about your proximity to [your family doctor's office/your nurse practitioner's office/your other health professional's office/your team of health professionals' office/the nearest place for health care].
How do you usually get to [your family doctor's office/your nurse practitioner's office/your other health professional's office/your team of health professionals' office/the nearest place for health care]?
Is it by:
On average, how much time do you spend travelling one way from your usual place of residence to [your family doctor's office/your nurse practitioner's office/your other health professional's office/your team of health professionals' office/the nearest place for health care]?
The following questions are about non-urgent primary health care needs that you may have had in the past 12 months.
Primary health care is often the first point of entry to the Canadian health care system. It incorporates routine care, diagnosis, treatment and management of health problems, as well as health promotion and disease prevention.
In the past 12 months, did you consult a health care provider for a non-urgent primary health care need?
Non-urgent primary health care needs can include routine care such as check-ups and prescription refills as well as issues that need immediate care but are not emergencies, such as an infection, fever, headache, a sprained ankle, vomiting or problems with emotions, mental health or substance use.
Include both in-person and virtual consultations such as over the telephone, by video, or written correspondence.
Include consultations with pharmacists only if they were covered by your provincial health plan e.g., for vaccinations or the diagnosis of an illness'.
Exclude care provided by optometrists or dentists.
The next few questions are about the most recent time you consulted a health care provider for a non-urgent primary health care need in the past 12 months.
Thinking about the most recent time you needed non-urgent primary health care, did you consult your own [family doctor/nurse practitioner/other health professional/team of health professionals], or someone else?
Non-urgent primary health care needs can include routine care such as check-ups and prescription refills as well as issues that need immediate care but are not emergencies, such as an infection, fever, headache, a sprained ankle, vomiting or problems with emotions, mental health or substance use.
Include both in-person and virtual consultations such as over the telephone, by video, or written correspondence.
The next few questions are about the most recent time you consulted a health care provider for a non-urgent primary health care need in the past 12 months.
Thinking about the most recent time you needed non-urgent primary health care, which of the following health care providers did you consult?
Include both in-person and virtual consultations such as over the telephone, by video, or written correspondence.
Was it a:
Where was [this family doctor or general practitioner/this nurse practitioner/this medical specialist/this other health professional/this health care provider] from?
Was it:
What type of consultation did you have with [your family doctor or general practitioner/your nurse practitioner/your other health professional/your team of health professionals/this family doctor or general practitioner/this nurse practitioner/this medical specialist/this health professional/this health care provider]?
Was it:
How did you consult [your family doctor or general practitioner/your nurse practitioner/your other health professional/your team of health professionals/this family doctor or general practitioner/this nurse practitioner/this medical specialist/this health professional/this health care provider]?
Was it:
Still thinking of this most recent time, where did this consultation take place?
Was it:
Thinking about this most recent time, what was the purpose of this visit?
Select all that apply.
Was it:
How long did you have to wait between the time you requested care and when you consulted [your family doctor or general practitioner/your nurse practitioner/your other health professional/your team of health professionals/this family doctor or general practitioner/this nurse practitioner/this medical specialist/this health professional/this health care provider]?
Would you say:
How satisfied were you with the wait time?
Would you say:
Was your life affected in any of the following ways as a result of waiting to consult [your family doctor or general practitioner/your nurse practitioner/your other health professional/your team of health professionals/this family doctor or general practitioner/this nurse practitioner/this medical specialist/this health professional/this health care provider]?
Select all that apply.
Still thinking about this most recent time you consulted [your family doctor or general practitioner/your nurse practitioner/your other health professional/your team of health professionals/this family doctor or general practitioner/this nurse practitioner/this medical specialist/this health professional/this health care provider] for a non-urgent primary health care need, please indicate to what extent you agree or disagree with each statement.
Still thinking about this most recent time, did someone from [your family doctor or general practitioner's/your nurse practitioner's/your other health professional's/your team of health professionals'/this family doctor or general practitioner's/this nurse practitioner's/this medical specialist's/this health professional's/this health care provider's] office follow up with you regarding test results?
Still thinking about this most recent time, indicate to what extent you agree or disagree with the following statement.
I received health care that was sensitive to my cultural background and identity from [my family doctor or general practitioner/my nurse practitioner/my other health professional/my team of health professionals/this family doctor or general practitioner/this nurse practitioner/this medical specialist/this health professional/this health care provider].
This is health care that makes the patient feel they are respected, safe and can trust the health care provider.
Include how you were treated based on age, sex, gender, sexual orientation, ethnicity, Indigenous identity, race, language, accent, religion or spirituality, disability, or other factors.
Would you say:
Overall, how would you rate the quality of this consultation?
The next questions are about your experiences and difficulties accessing the non-urgent primary health care you needed in the past 12 months.
In the past 12 months, how many times have you consulted a health care provider for a non-urgent primary health care need?
Non-urgent primary health care needs can include routine care such as check-ups and prescription refills as well as issues that need immediate care but are not emergencies, such as an infection, fever, headache, a sprained ankle, vomiting or problems with emotions, mental health or substance use.
Include both in-person and virtual consultations such as over the telephone, by video, or written correspondence.
Exclude consultations with optometrists or dentists.
During the past 12 months, did you have a need for non-urgent primary health care?
In the past 12 months, did you experience any of the following difficulties getting the non-urgent primary health care you needed?
Primary health care is often the first point of entry to the Canadian health care system. It incorporates routine care, diagnosis, treatment and management of health problems, as well as health promotion and disease prevention.
Select all that apply.
In the past 12 months, did you do any of the following because of difficulties getting the non-urgent primary health care you needed?
Select all that apply.
Did you:
Did you have to pay out-of-pocket for the non-urgent primary health care you sought elsewhere?
Exclude any fees associated with medical notes for work or school, expedited blood work, prescription renewals, cosmetic procedures, travel medicine advice and vaccines, tests requested by employers or insurance companies, and other services that are not covered by the universal health care system.
The next questions are about your use and experience of emergency departments for your own health.
Is there a hospital emergency room in your community?
In the past 12 months, how many times have you visited a hospital emergency room about your own health? If you do not remember, give your best estimate.
Number of emergency room visits
The next few questions are about the most recent time you visited a hospital emergency room about your own health in the past 12 months.
In the past 12 months, [when you went to the emergency room about your own health/thinking of the most recent time you went to the emergency room about your own health], what was the main reason for the visit?
[When you went to the emergency room about your own health/Thinking of the most recent time you went to the emergency room about your own health], was it for a condition that you thought could have been treated at [your family doctor's office/your nurse practitioner's office/your other health professional's office/your team of health professionals' office/the nearest place for health care]?
Was this visit to the emergency room caused by a condition that worsened because you did not receive regular care from a health professional?
Still thinking of this most recent time, do you think the visit to the emergency room could have been avoided had you had access to social support and services provided in the community?
Social support and services may include housing support, home care, counselling or therapy, or physiotherapy.
Before going to the emergency room, did you try to seek medical care from any of the following?
Select all that apply.
Still thinking of this most recent time, what was the main reason you decided to visit the emergency room instead of seeking care from another health care service provider, e.g., [your family doctor’s office/your nurse practitioner’s office/your other health professional’s office/your team of health professionals’ office/the nearest place for health care] or a walk-in clinic?
How did you get to the emergency room?
Still thinking of this most recent time, how much time did you spend travelling one way to the emergency room?
What was the main reason you used ambulance services?
Still thinking of this most recent time, overall, how satisfied were you with the time you waited for the ambulance to arrive?
Would you say:
How long did you have to wait with the paramedics before you were admitted to the emergency room?
Still thinking of this most recent time, how much time passed between when you were registered at the emergency room and when the emergency room visit ended?
A visit may end with leaving the emergency room, being admitted to the hospital, or transferring to another facility.
What happened at the end of this emergency room visit?
Still thinking of this most recent time, before you left the emergency room, did a health care provider review with you all your prescribed medications, including those you were taking before your emergency room visit?
Before you left the emergency room, did a doctor, nurse or other health care provider talk with you about follow-up care?
Still thinking of this most recent time, before you left the emergency room, did you receive information on what symptoms to watch for after leaving the emergency room?
Select all that apply.
In the past 12 months, did you ever go to the emergency room and find that it was closed?
Thinking about the most recent time you went to the hospital emergency room, please indicate to what extent you agree or disagree with each statement.
Include all staff that you interacted with during your visit, e.g., doctors, nurses, pharmacists, orderlies, technicians and social workers.
Overall, how satisfied were you with the care you received during this emergency room visit?
Would you say:
Overall, how would you rate the quality of this emergency room visit?
Now some questions about overnight stays in the hospital.
In the past 12 months, have you been admitted for at least one night in a hospital?
Exclude hospital visits that only took place in the emergency department, a rehabilitation centre, or care such as day surgeries or chemotherapy.
The next few questions are about the most recent time you were admitted as an overnight patient at a hospital in the past 12 months.
Thinking of the most recent time, how many nights did you spend in the hospital?
Exclude nights spent in the emergency department or rehabilitation centres.
If exact number of nights is not known, enter best estimate.
Number of nights
The most recent time you were admitted to the hospital as an overnight patient, were you admitted from the emergency room?
The most recent time you were admitted to the hospital as an overnight patient, what was the main reason for this hospitalization?
Was this overnight hospital stay related to the emergency room visit you reported earlier?
Did you have surgery during this hospital stay?
Thinking of the most recent time you were admitted to the hospital as an overnight patient, did a health care provider review all of your prescription medications with you before you left the hospital, including those you were taking before your hospitalization?
Thinking of the most recent time you were admitted to the hospital as an overnight patient, did a health care provider talk to you about follow-up care before you left the hospital?
Thinking of the most recent time you were admitted as an overnight patient, did you receive information on what symptoms or health problems to watch for when you left the hospital?
Select all that apply.
Did a health care provider discuss or recommend any of the following to help you manage your condition after you left the hospital?
Include all recommendations discussed even if you did not receive them.
Select all that apply.
After you left the hospital, which of the following items recommended to you by a health care provider did you receive to help you manage your condition?
Select all that apply.
Other than what was recommended to you before you left the hospital, did you request any services or equipment to help manage your health condition at home?
e.g., home care services, grab bars or a walker
Did you receive any of the services or equipment that you requested?
The next question is about your experiences during consultations with health professionals.
In the past 12 months, did you feel that you were discriminated against in a health care setting for any of the following reasons?
Select all that apply.
The next questions are about your experiences with unmet health care needs.
During the past 12 months, was there ever a time when you felt that you needed health care, but you did not receive it?
During the past 12 months, what type of care did you need but not receive?
Select all that apply.
Was it:
What are the reasons why you didn't get the care you needed during the past 12 months?
Select all that apply.
Was it because:
For what reason did you feel you would experience discrimination?
Select all that apply.
Would you say:
In the past 12 months, did you have any prescriptions for medication?
Include any medications that were prescribed to you even if you did not fill them.
In the past 12 months, did you do any of the following because of the cost of your prescription medication?
Select all that apply.
The next question is about your access to health insurance.
Do you have insurance that covers all or part of the cost of your prescription medications?
Include coverage from your own plan or someone else's.
e.g., private, government, Non-Insured Health Benefits (NIHB), employer-paid plans
The next few questions are about any out-of-pocket or direct expenses you may have had because of your health care needs.
In the past 12 months, what was the approximate non-reimbursable out-of-pocket cost for your prescription medications?
Exclude amounts for which you have been or will be reimbursed by any insurance or government program.
In the past 12 months, did you have any non-reimbursable out-of-pocket costs for any of the following services?
Include both in-person and virtual consultations such as over the telephone, by video or written correspondence.
Select all that apply.
Are you First Nations, Métis or Inuk (Inuit)?
First Nations (North American Indian) includes Status and Non-Status Indians.
If "Yes", select the responses that best describe this person now.
The following question collects information in accordance with the Employment Equity Act and its Regulations and Guidelines to support programs that promote equal opportunity for everyone to share in the social, cultural, and economic life of Canada.
Select all that apply.
Are you:
Where were you born?
Specify place of birth according to present boundaries.
Are you a Canadian citizen?
Are you a landed immigrant or permanent resident?
A landed immigrant or permanent resident is a person who has been granted the right to live in Canada permanently by immigration authorities.
In what year did you first become a landed immigrant or a permanent resident?
If exact year is not known, enter best estimate.
Can you speak English or French well enough to conduct a conversation?
What language do you speak most often at home?
What is the language that you first learned at home in childhood and still understand?
If you no longer understand the first language learned, indicate the second language learned.
What is your sexual orientation?
Sexual orientation refers to how a person describes their sexuality.
What is the highest certificate, diploma or degree that you have completed?
To enhance the data from this survey and to minimize the reporting burden for respondents, Statistics Canada will combine your responses with information from the tax data of all members of your household. [Statistics Canada, the provincial ministry of health and the Institut de la statistique du Québec/Statistics Canada and the provincial ministry of health] may also add information from other surveys or administrative sources.
Having a provincial or territorial health number will assist us in linking to this other information. Do you have a provincial or territorial health number?
For which province or territory is your health number?
If you do not have a Canadian health number, select "No Canadian health number" from the drop down.
What is your health number?
Enter a health number for [Newfoundland and Labrador/Prince Edward Island/Nova Scotia/New Brunswick/Quebec/Ontario/Manitoba/Saskatchewan/Alberta/British Columbia/Yukon/the Northwest Territories/Nunavut]. In [Newfoundland and Labrador/Prince Edward Island/Nova Scotia/New Brunswick/Quebec/Ontario/Manitoba/Saskatchewan/Alberta/British Columbia/Yukon/the Northwest Territories/Nunavut], the health number is made up of [twelve numbers/eight numbers/ten numbers/nine numbers/four letters followed by eight numbers/ten numbers. Do not include the two letters at the end for green health cards/nine numbers, beginning with 002 or 003/one letter followed by seven numbers]. Do not insert blanks, hyphens or commas between the numbers.
[Note: In Manitoba, health numbers of a family's members can be listed on the same card. Be sure to capture your health number if there is more than one on the card./Note: In British Columbia, residents may have a combined driver's license and health card. If you have a combined card, the health number is on the back above the barcode.]
To avoid duplication of surveys, Statistics Canada may enter into agreements to share the data from this survey with provincial ministries of health [and the Institut de la statistique du Québec]. [The Institut de la statistique du Québec and provincial/Provincial] ministries of health may make the data available to local health authorities.
Data shared with your ministry of health [and the Institut de la statistique du Québec] may also include identifiers such as name, address, telephone number and health number. Local health authorities would receive only survey responses and the postal code.
These organizations have agreed to keep the data confidential and use it only for statistical purposes.
Do you agree to share the data you provided?
To reduce the number of questions in this questionnaire, Statistics Canada will use information from your tax forms submitted to the Canada Revenue Agency. With your consent Statistics Canada will share this information from your tax forms with [provincial ministries of health and the Institut de la statistique du Québec/provincial ministries of health]. These organizations have agreed to keep the information confidential and to use it only for statistical and research purposes.
Do you give Statistics Canada permission to share your tax information with [provincial ministries of health and the Institut de la statistique du Québec/provincial ministries of health]?
The purpose of this survey is to produce statistics on the stocks of frozen and chilled meat held in warehouses registered with the Canadian Food Inspection Agency.
These data will be aggregated with data from other sources to produce estimates of national and provincial stocks. These estimates are used by government and the private sector to make policy and investment decisions.
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.
Authorization to collect this information
Data are collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.
Confidentiality
By law, Statistics Canada is prohibited from releasing any information it collects that could identify any person, business, or organization, unless consent has been given by the respondent, or as permitted by the Statistics Act. Statistics Canada will use the information from this survey for statistical purposes only.
Record linkages
To enhance the data from this survey and to reduce the reporting burden, Statistics Canada may combine the acquired data with information from other surveys or from administrative sources.
Data-sharing agreements
To reduce respondent burden, Statistics Canada has entered into data-sharing agreements with provincial and territorial statistical agencies and other government organizations, which have agreed to keep the data confidential and use them only for statistical purposes. Statistics Canada will only share data from this survey with those organizations that have demonstrated a requirement to use the data.
Section 11 of the Statistics Act provides for the sharing of information with provincial and territorial statistical agencies that meet certain conditions. These agencies must have the legislative authority to collect the same information, on a mandatory basis, and the legislation must provide substantially the same provisions for confidentiality and penalties for disclosure of confidential information as the Statistics Act. Because these agencies have the legal authority to compel businesses to provide the same information, consent is not requested, and businesses may not object to the sharing of the data.
For this survey, there are Section 11 agreements with the provincial statistical agencies of Newfoundland and Labrador, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta and British Columbia. The shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province.
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.esd-helpdesk-dse-bureaudedepannage.statcan@canada.ca or by fax at 613-951-6583.
For this survey, there is a Section 12 agreement with the Prince Edward Island statistical agency.
For agreements with provincial and territorial government organizations, the shared data will be limited to information pertaining to business establishments located within the jurisdiction of the respective province or territory.
1. Verify or provide the business or organization's legal and operating name and correct where needed.
Note: Legal name modifications should only be done to correct a spelling error or typo.
Note: Press the help button (?) for additional information.
Legal Name
The legal name is one recognized by law, thus it is the name liable for pursuit or for debts incurred by the business or organization. In the case of a corporation, it is the legal name as fixed by its charter or the statute by which the corporation was created.
Modifications to the legal name should only be done to correct a spelling error or typo.
To indicate a legal name of another legal entity you should instead indicate it in question 3 by selecting 'Not currently operational' and then choosing the applicable reason and providing the legal name of this other entity along with any other requested information.
Operating Name
The operating name is a name the business or organization is commonly known as if different from its legal name. The operating name is synonymous with trade name.
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.
3. Verify or provide the current operational status of the business or organization identified by the legal and operating name above.
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
Provide a brief but precise description of this business or organization's main activity
e.g., breakfast cereal manufacturing, shoe store, software development
5. You indicated that is not the current main activity. Was this business or organization's main activity ever classified as: ?
6. Search and select the industry classification code that best corresponds to this business or organization's main activity.
Select this business or organization's activity sector (optional)
7. You have indicated that the current main activity of this business or organization is:
Main activity
Are there any other activities that contribute significantly (at least 10%) to this business or organization's revenue?
Provide a brief but precise description of this business or organization's secondary activity
e.g., breakfast cereal manufacturing, shoe store, software development
8. Approximately what percentage of this business or organization's revenue is generated by each of the following activities?
When precise figures are not available, provide your best estimates.
| Percentage of revenue | |
|---|---|
| Main activity | |
| Secondary activity | |
| All other activities | |
| Total percentage |
1. Are the stocks located at the following address?
Please report the address where the stocks are located.
2. Which of the following products were in storage at this location on ?
Select all that apply.
All meat categories include brains, livers, sweetbreads, tongues, stomachs, kidneys, lungs and other glands for pharmaceuticals.
Beef, veal, and lamb include tails, headmeat, weasand meat, gullets, neck trim and blood plasma.
3. What was the total stocks in kilograms (kg) of the following domestic and imported pork products?
Include:
Exclude:
Conversion: 1 kilogram = 2.2046 pounds, 1 pound = 0.4536 kilograms
Enter zero '0' if there are no stocks.
| Total stocks (kg) | |
|---|---|
| Hams | |
| Loins | |
| Bellies | |
| Butts | |
| Picnics | |
| Ribs | |
| Backs and shoulders | |
| Trimmings | |
| Unclassified - other pork cuts and sundries not elsewhere listed | |
| Total domestic and imported pork products |
4. What was the total stocks in kilograms (kg) of the following domestic and imported beef products?
Include:
Exclude:
Conversion: 1 kilogram = 2.2046 pounds, 1 pound = 0.4536 kilograms
Enter zero '0' if there are no stocks.
| Total stocks (kg) | |
|---|---|
| Bone-in domestic | |
| Bone-in imported | |
| Boneless domestic | |
| Boneless imported | |
| Total domestic and imported beef products |
5. What was the total stocks in kilograms (kg) of the following domestic and imported veal products?
Include:
Exclude:
Conversion: 1 kilogram = 2.2046 pounds, 1 pound = 0.4536 kilograms
Enter zero '0' if there are no stocks.
| Total stocks (kg) | |
|---|---|
| Bone-in domestic | |
| Bone-in imported | |
| Boneless domestic | |
| Boneless imported | |
| Total domestic and imported veal products |
6. What was the total stocks in kilograms (kg) of the following domestic and imported mutton and lamb products?
Include:
Exclude:
Conversion: 1 kilogram = 2.2046 pounds, 1 pound = 0.4536 kilograms
Enter zero '0' if there are no stocks.
| Total stocks (kg) | |
|---|---|
| Domestic mutton and lamb | |
| Imported mutton | |
| Imported lamb | |
| Total domestic and imported mutton and lamb products |
7. What was the total stocks in kilograms (kg) of the following fancy meat products?
Include:
Exclude:
Conversion: 1 kilogram = 2.2046 pounds, 1 pound = 0.4536 kilograms
Enter zero '0' if there are no stocks.
| Total stocks (kg) | |
|---|---|
| Pork | |
| Beef | |
| Veal | |
| Lamb | |
| Total fancy meats products |
8. Indicate any changes or events that affected the reported values for this business or organization, compared with the last reporting period.
Select all that apply.
9. 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?
Who is the best person to contact about this questionnaire?
10. How long did it take to complete this questionnaire?
Include the time spent gathering the necessary information.
11. Do you have any comments about this questionnaire?
Centre for Production, Distribution and Investment Statistics, Economic Statistics Field
The Property Values Program produces annual estimates of assessment values of properties at provincial and territorial level across Canada. These estimates are produced using a common price date, which corresponds to July 1st of the year preceding the tax year under evaluation. Finance Canada uses these estimates to determine fiscal capacity with respect to property taxes for the Equalization program and the Territorial Formula Financing (TFF) program. Footnote 1 To ensure comparability of the data, a number of adjustments are made. They include: the coding of property categories to a common classification; the adjustment of values to a common price base date and to a common volume state (or stock) date; and the imputation of missing property values. Additionally, other removals and adjustments are carried out to produce estimates of annual assessment values at a common price date that meet the requirements for determining fiscal capacity.
This document presents these adjustments in more detail.
The price base date (referred to as “valuation” by Data Providers) is the fixed point in time at which all properties are valued by assessment agencies. Within each province or territory, the same PBD applies to all properties.
The target price base date (TPBD) serves as the benchmark for price adjustments within the Property Values Program. It is set as July 1st of the year preceding the tax year under assessment. For instance, the TPBD for the tax year 2024 (TY2024) corresponds to July 1st, 2023.
The volume state date (referred to as “condition” by Data Providers) is the fixed point in time when the full stock of active properties and their physical condition are reflected in the official Assessment Roll.
The target volume state date (TVSD) serves as the benchmark for volume adjustments within the Property Values Program. It is set as January 1st of the tax year under assessment. For instance, the TVSD for the tax year 2024 (TY2024) corresponds to January 1, 2024.
Defined as all types of property categorized as residential for assessment purposes in the majority of provinces and territories. It includes single and multi-unit properties, farm residences, cottages and vacation homes, mobile homes, and vacant lands which are designated for residential purposes.
Defined as all types of property categorized as non-residential for assessment purposes in the majority of provinces and territories. It includes industrial, commercial and institutional properties, engineering construction and mining properties, and vacant lands which are designated for non-residential purposes.
Agricultural properties Footnote 3 (excluding residential dwellings on farm property, which are considered residential property for the Property Values Program) as well as the value of machinery and equipment improvements on properties are excluded from final estimates.
Defined as municipal, provincial, territorial and federal government-owned property for which owners remit payment-in-lieu of taxes to municipal governments or local taxation authorities.
Assessment data series are collected from provincial, territorial and municipal assessment entities and are based on municipal assessment rolls. Data providers agree to provide the data on a regular basis either through formal agreements or responding per data request.
Starting in January 2018, assessment roll microdata is gradually being received from every jurisdiction, to replace the use of assessment roll aggregate data. In 2025, we received assessment roll microdata for the tax year 2024 from 12 provinces and territories, up from five provinces and territories for the tax year 2016. See Annex 1.
Data series are reported either at the municipal, property or sub-property level.
Multiple Listing Service (MLS) data is produced by the Canadian Real Estate Association (CREA). The data files are obtained via Haver Analytics, a company that is the sole distributor of CREA MLS data. MLS data is aggregate monthly residential sales data reported as dollar volume sales and the number of units sold by real estate boards. Data is available at provincial or sub-provincial level for all provinces and territories with the exception of Québec, for which only provincial-level data is available. No data is available for Nunavut. MLS data files are used for price adjustment.
Data on the number of residential and non-residential building permits issued, as well as investment in construction completion, by type of work (e.g., new units, conversions, etc.), is obtained from Statistics Canada's Building Permits (BPER) and Investment in Building Construction (IBC) programs. The data is produced monthly, by jurisdiction. These data files are used for volume adjustment.
Data from Census of Population are available every five years. Between census years, yearly average owner-occupied dwelling values, referred to as "intercensal" values, are derived using linear interpolation. Footnote 4 These values are used for the imputation of missing property values.
Municipal boundary changes are mapped to the 2021 census geography using the “Interim List of Changes to Municipal Boundaries, Status, and Names.”
The list is usually produced on an annual basis for changes that occurred during the previous year. A five-year list is produced on Census of Population years. The Property Values program uses the report for the mapping of new municipalities to the Census 2021 geography during the intercensal period. Upon the publication of the 2026 Census, the Property Values program will reconcile the intercensal municipal changes to the new census geography.
A municipality covered by the collected data is assigned to a Census Subdivision (CSD). The assignment of CSDs is reviewed yearly to reflect changes (municipal amalgamations, legal status changes, etc.) that occur during the year. During the period between censuses, these municipal changes are mapped to their prior census subdivisions, census year 2021. Accumulated intercensal changes are revised to their new CSDs in the year following the publication of the census.
CSDs containing First Nations or other autonomous or self-governing areas are out of scope for Fiscal Arrangements purposes. As a result, these CSDs are not included in the provincial estimates.
The type of property classification is reviewed to improve comparability of the data amongst provinces and territories. The classification of properties is more precise when more details are available in the data.
There exist municipalities or regions that are not assessed by provincial or territorial assessment agencies, and therefore no property taxes are levied. As a result, assessment values are missing for some jurisdictions, mostly in unorganized areas. Footnote 5 Additionally, on occasion, some municipalities submit their assessment values to assessment agencies later than when the data is required. Missing property assessment values for these municipalities are imputed.
For taxation year 2024, there were 142 jurisdictions (CSDs) with missing data that were imputed, 132 of which were in Newfoundland-and-Labrador, 8 were in Northwest Territories and 2 were in Saskatchewan.
The imputation strategy relies on three key assumptions: (1) the reported average owner-occupied dwelling values from CSDs in the same province and population group are expected to be similar; (2) the composition of the residential housing mix is consistent between the donor and imputed population group; and (3) property tax assessors would have valued properties similarly in both the donor group and imputed population group.
During the intercensal period, an average owner-occupied dwelling value (Intercensal OODV) is found from the forward extrapolation in time to the relevant Tax Year, for the CSD, the line that connects the owner-occupied dwelling counts from two prior census values. For Tax Year 2024 those would be the 2016 Census of Population and the 2021 Census of Population.
Residential property value in a geography is the sum of all of owner and non-owner-occupied dwellings, vacant dwelling properties and vacant residential land. Although the concept of average owner-occupied dwelling value differs from that of residential property value, under the assumptions we may assume that:
Therefore, the imputation formula is:
Where RPV refers to the total Residential Property Value of a CSD.
In order to produce an imputed value that best reflects the price base date and volume state date:
The resulting imputed values are then processed and adjusted Footnote 6 using the same methodology as for assessment roll values.
Unlike the imputation for residential property values where dwelling values from intercensal files can be used to estimate the value of residential properties, no similar direct indicator is available for non-residential properties. Therefore, non-residential values are imputed using data of CSDs with similar Census population counts within the same province or territory.
Ratios of the total non-residential values over the total population are calculated using data from CSDs for each population class (see table 1 below) for each province and territory. These ratios Footnote 7 are then applied to the population count of the missing CSD to derive the imputed non-residential value. Most of the missing CSDs are from rural areas.
| Population Class | Description |
|---|---|
| 1 | Rural |
| 2 | Small Sized Municipalities |
| 3 | Medium Sized Municipalities |
| 4 | Large Sized Municipalities |
Due to differences in assessment practices and frequency of revaluation cycles, data received does not always align with the target price base date (TPBD) of July 1 of the year preceding the taxation year.
To minimize price adjustments, data from the file whose price base date (PBD) most closely aligns with the target price base date (TPBD) is used to produce estimates for a given taxation year. If two input files have the same time interval between their PBD and TPBD, the file with the smallest difference between the volume state date (VSD) and the target volume state date (VSD) is selected.
The following provinces do not undergo price adjustments as their PBD corresponds to the TPBD:
Sale and resale values are used in the reassessment of properties by assessment agencies. Multiple Listing Service (MLS) resale data is a suitable candidate as a proxy for this information. However, sales data is not the only information that is used by assessment agencies in determining assessment values. Other inputs such as demolition/construction permits, renovation permits, construction costs, physical inspections and other indicators are incorporated into their modelling methodology. In addition, MLS resale values are a subset of all residential property values as they exclude private sales and properties that have not sold in many years. Consequently, while MLS resale values provide a useful indicator, they do not always closely reflect the price movements of assessment values.
Statistics Canada does not attempt to replicate the modelling of assessment agencies. Instead, it relies on price indices to adjust assessment values to the target price base date.
For certain provinces, reassessments occur yearly or on a frequent basis and the target PBD is close to the PBD of the data received. To make better use of the assessment data collected since the onset of this program and to improve the quality of estimates, a price index is generated by calculating the polynomial trendFootnote 9 of average values by property class. Using average values excludes the effect of yearly changes in volume (new construction and demolition) and helps isolate price movements. Such an index is referred to as the Assessment Roll Trend (AR Trend). This modelling is performed at the provincial level.
This method is used in the following provinces:
For the remaining provinces and territories (except Nunavut), to capture annual price movements, a price index is generated by calculating the polynomial trend of seasonally adjusted MLS monthly average resale values. These polynomial trend series are calculated by MLS jurisdiction and applied to the corresponding CSDs.
This method is used in the following provinces and territories:
As resale data do not exist for Nunavut, Statistics Canada uses data for the region of northern Quebec Footnote 10 as a proxy for this territory. Footnote 11 The property assessment data is provided by the provincial government of Quebec.
The Nunavut residential index is calculated using an average of residential and non-residential property values from Quebec data. Footnote 12
An annual series is generated and converted into a monthly series by adding one twelfth of the dollar difference between two observations to each successive month between observed values (linear interpolation), thereby creating a monthly index. Residential price-adjustments are then applied to Nunavut property values using the same algorithm (for ratios) developed for resale data.
Unlike residential properties, non-residential properties (more specifically institutional, commercial, and industrial) are not often for sale. It is therefore comparatively more difficult to find appropriate market indicators for non-residential price adjustment. To overcome this, the correlation between residential and non-residential price changes was analyzed.
A regression analysis was performed, and a model was constructed using assessment data from four provinces: Prince Edward Island, New Brunswick, Quebec, and British Columbia. The reasons for using these specific four provinces are twofold: (1) these provinces evaluate their non-residential property stock on an annual basis Footnote 13 and (2) they report data for both assessment values and numbers of non-residential properties. This level of detail allowed the derivation of the annual non-residential price movements. The conclusion was to use the model coefficient of 0.7336 as a discount factor to the residential series.
The discount factor methodology was satisfactory for several years, while MLS resale values observed consistent behaviour compared to non-residential values. However, over the years, the correlation between residential and non-residential values became weaker. Combined with the fact that assessment data was collected since 2006, it became realistic to favour the development of the polynomial trend of assessment data (AR Trend) methodology to replace the discount factor methodology, when possible.
Similar to the modelling of residential assessment data, non-residential assessment data is modelled using polynomial trend of average values by broad property type.
This method is used in:
For the remaining provinces and territories (except Nunavut), it is not possible to model the assessment data as the reassessment cycles are long and there is not yet sufficient source data for modelling. In these cases, the discount factor is used to adjust the non-residential property values using the MLS polynomial trend series of residential properties. In the future, it may become possible to update this methodology, as more assessment data become available.
This method is used in:
Similarly, the discount factor is applied to Nunavut’s residential price index.
It involves price index preparation, price adjustment ratio and adjusted value calculation.
Price index is generated using polynomial regression model on either MLS average prices or assessment averages.
The price adjustment ratio is calculated by taking the index value at the target price base date (TPBD) over the index value at the price base date (PBD) of the source data. This ratio is then applied to the assessment value to yield the adjusted value at the TPBD.
Volume adjustments ensure that property values reflect a common target volume state date (TVSD) of January 1st of the taxation year. For assessment data with a volume state date (VSD) earlier or later than the TVSD, the value of all completed construction that occurred between the two dates is estimated using Statistics Canada's monthly Building Permits Program and Investment in Building Construction Program. The estimated value is then added to or subtracted from the total property values, as applicable. This methodology is applied to both residential and non-residential property values.
Residential volume adjustments typically represent less than 2% of total estimated values, while non-residential adjustments may slightly exceed this threshold.
Census subdivisions which are First Nations reserves, and autonomous or self-governing areas are removed as they are deemed out of scope. Such CSDs are identified based on their CSD type.
In some provinces, certain properties are identified as exempt from property taxes in the input files received from the assessment agencies. Any values associated with these properties are excluded from the estimates for the purposes of fiscal arrangements.
The most important non-residential properties which are generally exempt from property taxes are schools, churches and hospitals (S/C/H).
Some provinces and territories provide detailed breakdowns of S/C/H in their assessment data. For these jurisdictions, the exact proportion of S/C/H is removed from the final estimates.
For provinces and territories where the S/C/H breakdowns are not available, the proportion of S/C/H assessment values relative to total non-residential assessment values is estimated by applying the proportion of S/C/H property values from a comparable reporting province or territory. It should be noted that values for engineering and mining properties are excluded from the total non-residential assessment values used in calculating the S/C/H proportions.
The list of provinces and territories used in the calculation of estimated S/C/H proportions depends on data availability and may vary from year to year as new microdata is received.
Instead of paying regular property taxes, federal and provincial governments typically provide a payment in lieu of taxes (PILT) for their exempt properties. However, only federal PILT properties represent fiscal capacity for the consolidated provincial-territorial-municipal-local sector; provincial and territorial PILT properties as well as municipal institutional properties are excluded.
Unlike in the provinces and the Yukon, property assessments in the Northwest Territories and Nunavut do not consistently follow market value standards.
Land values within the municipal taxation areas (Iqaluit in Nunavut; Yellowknife, Fort Simpson, Fort Smith, Hay River, Norman Wells and Inuvik in NWT) reflect full market value. In contrast, land values in the remainder of the two territories (i.e. in the General Taxation Areas) are, according to the data provider, based on average regional development costs.
Improvements (i.e. buildings) in both territories are assessed based on depreciated Edmonton construction costs, using Alberta's depreciation schedule. The resulting value for Yellowknife is then multiplied by a regulatory factor of 1.35, which, according to the assessment data provider, reflects Yellowknife's actual construction costs relative to Edmonton's. As a result, Yellowknife's assessed building values approximately reflect market value. Footnote 14
Outside of Yellowknife, in both territories, a discount factor of 0.666 has been applied to building values initially assessed at depreciated Edmonton construction costs. This factor, also set out in regulations, was reportedly introduced to encourage development. During data processing, this embedded 0.666 scaling factor is removed from the building values in the Nunavut and Northwest Territories outside of Yellowknife and Iqaluit.
Property values for machinery and equipment (M&E) components in the non-residential category are considered out of scope.
The assessment roll in Manitoba includes personal property which is not considered real estate property. Such property values are excluded from the estimate.
Some properties are used for both residential and non-residential purposes. In cases where no further breakdown is available, the values of mixed-use properties are redistributed between residential and non-residential property types according to the existing distribution of total residential and non-residential property values by CSD. Where further breakdowns are available, mostly in jurisdictions where microdata was received, the values are assigned according to the exact breakdown. Mixed-use residential and non-residential properties that are redistributed represent 0.015% of the total valuation of properties in Canada.
One of the most common cases of mixed-use properties is of a building with ground-level commercial space and one or more floors of residential units above.
Statistics Canada's quality assurance framework requires an assessment of data relevance, accuracy, timeliness, accessibility, interpretability and coherence. The quality of the raw input data collected from provincial, territorial and municipal assessment departments and agencies cannot be directly evaluated within this framework. However, confrontational analysis is performed to compare the source data with previously received data. Any irregularities identified are carefully reviewed and analyzed prior to the official release of the data.
| Province / Territory | Tax year 2016 | Tax year 2024 |
|---|---|---|
| Newfoundland and Labrador | Yes | Yes |
| Prince Edward Island | No | Yes |
| Nova Scotia | Yes | Yes |
| New Brunswick | No | Yes |
| Quebec | No | No |
| Ontario | Yes | Yes |
| Manitoba | No | Yes |
| Saskatchewan (except Prince Albert) | No | Yes |
| Alberta | No | Yes |
| British Columbia | No | Yes |
| Yukon | Yes | Yes |
| Northwest Territories | Yes | Yes |
| Nunavut | No | Yes |
| Total number of provinces and territories with microdata | 5 | 12 |
| Release date | 2024 | 2025 | |||
|---|---|---|---|---|---|
| Q3 | Q4 | Q1 | Q2 | Q3 | |
| percentage | |||||
| November 24, 2025 | 81.1 | 76.4 | 81.0 | 74.8 | 61.0 |
| August 25, 2025 | 81.1 | 76.4 | 78.6 | 61.4 | |
| May 23, 2025 | 81.1 | 76.4 | 59.1 | ||
| February 24, 2025 | 78.3 | 57.5 | |||
| November 25, 2024 | 60.1 | ||||
| .. not available for a specific reference period Source: Quarterly Survey of Financial Statements (2501) |
|||||
© His Majesty the King in Right of Canada, as represented by the Minister of Innovation, Science and Industry, 2026
Catalogue no. 892600082025001
ISSN 2818-5056
The Privacy Act grants Canadian citizens and residents the right to access personal information held by federal institutions. It also imposes strict obligations on these institutions regarding the collection, use, disclosure, retention, and disposal of such information, ensuring it is protected against unauthorized access or misuse.
The Annual Report on the Administration of the Privacy Act is prepared and submitted, in accordance with section 72 of the Act, and it covers the period from April 1, 2024, to March 31, 2025. The report is tabled in Parliament.
Statistics Canada is mandated to produce high-quality statistical information that enables Canadians to better understand their country—its population, resources, economy, environment, society, and culture. As a national statistical agency, it serves both the federal government and each province and territory. In accordance with its legislative obligations, Statistics Canada also conducts the Census of Population and the Census of Agriculture every five years, providing a comprehensive and detailed portrait of Canadian society.
Statistics Canada did not have any non-operational subsidiaries during the reporting period.
Under the Privacy Act, federal institutions may collect personal information only when it directly relates to their programs or activities. For Statistics Canada, this authority is provided by the Statistics Act, which mandates the collection of personal information for statistical purposes. Both Acts impose strict obligations to safeguard this information, including protecting it from unauthorized disclosure.
Within Statistics Canada, the Director of the Office of Privacy Management and Information Coordination serves as the Access to Information and Privacy (ATIP) Coordinator and Chief Privacy Officer. This role oversees the administration of the Access to Information and Privacy Acts, ensuring compliance with legislative requirements and the protection of personal information across the agency.
Statistics Canada operates under the authority of the Statistics Act, which mandates the Agency to collect, compile, analyze, and publish statistical information on Canada’s economic, social, and general conditions. The Act also tasks the Agency with coordinating the national statistical system to minimize duplication across government. To fulfill this role, the Chief Statistician may enter into data-sharing agreements with federal, provincial, and territorial partners.
The Statistics Act specifically requires Statistics Canada to conduct the Census of Population and the Census of Agriculture every five years, as was done in 2021. The Act also empowers the Agency to collect information through surveys of households and businesses. The Chief Statistician determines whether a survey is mandatory or voluntary. While the Census of Population and the Labour Force Survey are mandatory due to their national importance, most other household surveys are voluntary. Business surveys and the Census of Agriculture are generally mandatory, with legal penalties for non-compliance.
In addition to survey data, Statistics Canada is authorized to access administrative records—such as tax data, customs declarations, and vital statistics—which are essential for reducing response burden and enhancing data quality. The Agency is internationally recognized for its leadership in using administrative data to minimize reporting requirements.
To uphold privacy and public trust, Statistics Canada has implemented a Necessity and Proportionality Framework. This framework ensures that data collection is justified, proportionate to its sensitivity, and transparent. It includes rigorous assessments of necessity, ethics, and risk, and requires privacy impact assessments and public communication throughout the data acquisition process.
The Agency also follows a Responsible Privacy approach, reinforcing its commitment to protecting personal information while providing Canadians with the data they need to make informed decisions in a rapidly changing world.
The Access to Information and Privacy (ATIP) Office at Statistics Canada is staffed by one ATIP Manager, one ATIP Analyst, and one Junior Analyst, operating within an allocation of 2.13 FTEs. With the backlog cleared before the fiscal year began and workload stabilized, no new staff were hired, and no consultants were engaged during the reporting period.
Finally, Statistics Canada was not party to any agreements under section 73.1 of the Privacy Act during the reporting period.
In accordance with section 73 of the Privacy Act, the Minister’s powers and responsibilities as head of the institution have been formally delegated. As of May 18, 2021, the Minister of Innovation, Science and Economic Development (ISED) delegated full authority under the Act to the Director and Assistant Director of the Office of Privacy Management and Information Coordination, as outlined in the delegation order (Appendix A).
In 2024–2025, Statistics Canada received 40 new privacy requests and carried over one from the previous year. Of these, 34 were completed, and 7 remain active going into the next reporting period.
| Disposition of request | Number of requests |
|---|---|
| All disclosed | 8 |
| Disclosed in part | 17 |
| Nothing disclosed (exempt) | 0 |
| Does not exist | 3 |
| Abandoned | 4 |
| Not confirmed not unconfirmed | 2 |
| Total | 34 |
Information was fully disclosed in 8 cases and partially disclosed in 17, with redactions applied to protect third-party personal information. No requests were exempted or excluded. In 3 cases, the requested information did not exist, and 4 requests were abandoned due to applicant withdrawal or lack of response.
The public remains the primary source of privacy requests to Statistics Canada. In addition, the Agency receives requests from current and former federal employees related to personal or staffing matters. A significant number of requests are also processed through the pension search program, which provides individuals with access to their historical census or 1940 National Registration records. These records support applications for pensions, citizenship, passports, and other services when standard documentation is unavailable. Authorized representatives may also request information on behalf of minors, dependent adults, or deceased individuals for estate administration purposes, as permitted by regulation.
No requests were received in 2024–2025 for access to individual 2021 Census of Population questionnaires.
In total, over 3,648 pages were reviewed, with 2,533 pages released. Twenty-three (23) requesters received their information electronically, while two (2) opted for paper format.
The following table shows the latest five-year trend of the Agency’s processing of privacy requests.
| Fiscal Year | Requests Received | Requests Completed | Number of Pages Processed | Number of Pages Released |
|---|---|---|---|---|
| 2024/2025 | 40 | 34 | 3,648 | 2,533 |
| 2023/2024 | 52 | 54 | 20,817 | 7,669 |
| 2022/2023 | 48 | 178 | 34,685 | 10,451 |
| 2021/2022 | 161 | 65 | 1,744 | 1,416 |
| 2020/2021 | 86 | 138 | 4,076 | 2,983 |
During this period, Statistics Canada did not receive any Privacy Act consultation requests from other departments.
The outcomes of the 34 requests completed in 2024–2025 were:
| Privacy Requests (Fiscal Year) | 2024-25 |
|---|---|
| Requests Received | 40 |
| Requests Completed | 34 |
| Percentage of Requests Completed | 85% |
| Requests completed On-Time | 27 |
| Percentage of Requests Completed On-Time | 79.41% |
Of the 34 requests received and completed in fiscal year 2024-2025, 27 of them were processed and completed within the time prescribed in the Privacy Act, and one (1) request was carried over to the next fiscal year. Several factors contributed to the timely response, including training sessions with senior leaders and liaison officers, as well as the reduction in the backlog of requests allowing analysts to focus on the new requests that were received in this timeframe. Extensions were taken for three (3) requests.
In 2024–2025, 34 requests were completed within the following time frames:
No new complaints were filed against Statistics Canada with the Office of the Privacy Commissioner (OPC). Two (2) complaints that originated in 2023 remain unresolved and have been carried forward into the next fiscal year. One informal complaint was lodged with the OPC but was resolved through early resolution.
The statistical report provides aggregate data on the application of the Privacy Act. This information is made public annually and is included with the annual report.
The Privacy Act plays a foundational role in guiding Statistics Canada’s approach to managing personal information. Its influence extends beyond the processing of access requests, shaping how the Agency collects, uses, and safeguards data in response to growing public expectations for transparency and accountability.
Statistics Canada has a well-established track record of protecting Canadians’ privacy and continues to implement a range of initiatives to address evolving concerns. Internal directives are aligned with the core principles of the Privacy Act and are embedded in day-to-day operations:
These directives reinforce the Agency’s compliance with the Privacy Act and reflect its ongoing commitment to the responsible stewardship of personal information.
To further support privacy-conscious decision-making, Statistics Canada applies a Necessity and Proportionality Framework, ensuring that any collection of personal information for statistical purposes is demonstrably justified and proportionate to its intended use.
As data collection methods evolve, privacy remains central to the Agency’s operations. The Trust Centre serves as a public-facing platform that demonstrates how Statistics Canada meets Canadians’ information needs while protecting their data.
The Agency’s mandate—to provide high-quality insights into Canada’s population, economy, environment, and society—requires the collection of personal information, either directly through surveys or indirectly from administrative sources. With this authority comes a responsibility to uphold the confidentiality of that information, as required by law and principle.
To maintain public trust, Statistics Canada continuously adapts its practices to emerging realities, refining mechanisms to prevent the misuse of personal data. This includes a commitment to Responsible Privacy—a proactive approach that goes beyond compliance by embedding privacy considerations into all aspects of the Agency’s work and adopting innovative safeguards.
To support these efforts, senior management continues to implement and maintain a formal Privacy Management Program (PMP). The PMP ensures that the Agency remains well-equipped to manage personal information responsibly, while upholding transparency, accountability, and compliance with applicable privacy legislation and policy instruments.
Statistics Canada Privacy Management Program
Oversight & Review
Program Controls
Organizational Commitment
In 2024-2025, the ATIP Office spent approximately $36,726 on salaries and $532 on administrative costs to administer the Privacy Act.
In 2024–2025, the Access to Information and Privacy (ATIP) Office offered informal one-on-one sessions to help employees understand their obligations under the Privacy Act and related internal policies.
During the reporting period, there was no need for additional training for liaison officers. With minimal turnover, liaisons maintained strong relationships and open communication with the ATIP Office.
The Office of Privacy Management and Information Coordination (OPMIC) also offers training on topics related to the Statistics Act, Privacy Act, and supporting policies.
Courses include:
They focus on the appropriate use of personal information about employees, clients, and the public.
Additionally, all employees must complete mandatory online confidentiality training, including an introductory course for new hires.
During the reporting period, OPMIC hosted Privacy Awareness Week 2025, from April 28 to May 2, showcasing the Privacy Management Team’s services. The Chief Privacy Officer moderated a discussion between a panel of experts on enhancing privacy in government. The event saw high engagement and positive feedback. Regular bilateral meetings between Statistics Canada and the Office of the Privacy Commissioner (OPC) continue to support dialogue on programs and privacy practices.
The ATIP Office maintains a suite of internal tools to support sector contacts in fulfilling their responsibilities related to privacy requests. These tools include:
These resources ensure consistency and accuracy in the handling of privacy requests across the Agency.
The ATIP Office ensures compliance with Government of Canada policies and directives issued by the Treasury Board of Canada Secretariat (TBS) concerning the protection of personal information. All personal and confidential information is protected under the Privacy Act and the Statistics Act and is disclosed only in accordance with the provisions of these Acts.
Statistics Canada has developed and published a comprehensive Privacy Framework that outlines the full scope of privacy controls embedded within its operations. This framework consolidates approved practices, procedures, and governance mechanisms related to privacy.
The Director of the Office of Privacy Management and Information Coordination has been formally designated as the Chief Privacy Officer (CPO) for Statistics Canada by the Chief Statistician. The CPO provides strategic leadership on privacy matters, ensures privacy is integrated into business decisions, and oversees the implementation of administrative policies and best practices to safeguard personal information.
The Access to Information and Privacy Implementation Notice 2024-01, effective November 13, 2024, is intended to assist Access to Information and Privacy (ATIP) offices in managing and processing sensitive access to information (ATI) and personal information requests that may pose risks to the safety and well-being of public servants. Specifically, it addresses situations where the nature of the request raises concerns not due to the professional duties of the individual, but because of their personal identity or characteristics.
These requests may seek information that intrudes upon the private lives of government employees or officers. The notice also provides guidance for circumstances in which acknowledging or disclosing the requested information could reasonably be expected to threaten the life, physical integrity, or psychological health and safety of a public servant.
The ATIP Office continues to use the ATIP Online Reporting Tool to receive and respond to requests submitted electronically. During this reporting period, the Online Reporting Tool was updated to allow for release packages to be sent securely to requesters who created a profile. This method allows for documents to be sent securely, with larger packages being sent than can normally be accommodated via email.
During the reporting period, the ATIP Office reinitiated engagement with key partners – including the Treasury Board of Canada Secretariat (TBS), Shared Services Canada (SSC), Public Services and Procurement Canada (PSPC), Statistics Canada (Field 9), and OPEXUS – to advance discussions on the modernization of the technology platforms supporting ATIP operations. This collaborative effort is aimed at enhancing the efficiency, accessibility, and responsiveness of the ATIP process to better serve the needs of requesters.
The Office of the Privacy Commissioner of Canada (OPC) received one informal complaint of unauthorized use and disclosure of personal information against StatCan. It was resolved through OPC’s early resolution process.
As of the end of the reporting period, neither of the two ongoing complaints has been resolved. The ATIP Office continues to work closely with the Office of the Privacy Commissioner (OPC) to address the issues raised and remains committed to resolving both matters in a timely and transparent manner.
The Privacy and Information Breach Protocol provides clear identification of the various roles and responsibilities in the event of a breach. It includes the requirement to complete an enhanced process which incorporates the elements in the Treasury Board Secretariat's guidelines on how to respond to a privacy breach. The template has been approved by the Agency's senior management. At a minimum, the incident report will contain the following information:
Best practices to eliminate or reduce future recurrences that are identified during an investigation must be communicated to other employees to prevent a recurrence of the breach.
Breaches are coordinated by a centralized group in the Privacy Management team to ensure that all programs impacted by the breach provide input.
There were seven (7) privacy breaches at Statistics Canada during the reporting period, and of these breaches, none were material in nature. A total of 10 people were affected by six (6) of these breaches. While no unauthorised disclosure was confirmed for the 7th incident related to an internal case management system that handles HR information, sensitive attachments submitted by 250 to 1000 employees via the system could have been accessible to managers without need to know for those employees.
The Statistics Canada Directive on Conducting Privacy Impact Assessments (PIAs) specifies the roles and responsibilities of its senior managers and privacy specialists regarding the collection, use and disclosure of personal information. This directive applies to all statistical and non-statistical programs that engage in the collection, use or disclosure of personal information.
Statistics Canada’s Generic PIA covers all aspects of the Agency’s statistical programs that collect, use and disseminate information in support of the mandate under the Statistics Act. The Generic PIA addresses the ten privacy principles and includes a threat and risk assessment for various collection and access modes.
Supplements to the Generic PIA are produced for new and significantly redesigned collections, uses or disclosures of personal information that raise unique or additional privacy, confidentiality, or security risks. The Generic PIA and its supplements are posted on the Statistics Canada website: Generic privacy impact assessment.
When it relates to the administration of the institution other PIAs are conducted for new or redesigned administrative programs and services that involve the collection, use and disclosure of personal information that are not addressed in the Generic PIA. Summaries of completed privacy impact assessments can be found on the Statistics Canada website: Privacy impact assessments.
In the current reporting period, 14 privacy assessments, including two (2) PIAs, six (6) supplements, and six (6) amendments or addendums were approved and submitted to the Office of the Privacy Commissioner and the Treasury Board Secretariat. The following are brief descriptions:
A PIA was conducted to determine if there were any privacy, confidentiality or security issues associated with the addition of security cameras at Statistics Canada’s Centre for Direct Health Measures (CDHM) Mobile Examination Centre (MEC), and if so, to make recommendations for their resolution or mitigation. The security cameras provide crime prevention and detection, public safety, and evidence collection emergency response. The assessment did not identify any privacy risks that cannot be managed using existing safeguards and additional safeguards that have been put in place.
A PIA was conducted to determine if there were any privacy, confidentiality or security issues with the new functionalities being introduced to the StatsCAN app and, if so, to make recommendations for their resolution or mitigation. New functionalities such as a feedback form, in-app metrics, and push notifications were implemented that utilize some user data. The assessment did not identify any privacy risks that cannot be managed using existing safeguards.
A supplement to the Generic PIA was conducted to determine if there were any privacy, confidentiality or security issues associated with the collection of new information in the Canadian Housing Survey (CHS) and if so, to make recommendations for their resolution or mitigation. This voluntary survey which collects sensitive sociodemographic information of adults and minors particularly through proxy response for other members of the household was expanded to include questions on age, sex at birth, gender identity and expression, sexual orientation, immigration and citizenship, ethnic and cultural origins, religion, long-term conditions and disability, and marital status. Information from the survey helps to understand and address issues such as access to affordable housing, and to improve housing conditions. The assessment did not identify any privacy risks that cannot be managed using existing safeguards.
A supplement to the Generic PIA was conducted to determine if there were any privacy, confidentiality or security issues associated with the Canadian Survey on Working Conditions (CSWC) and if so, to make recommendations for their resolution or mitigation. This voluntary survey collects information on experiences as victims of harassment, violence, and discrimination in work related settings. It complements data from the Labour Force Survey (LFS) and its supplements to offer a comprehensive picture of the quality of employment in Canada, and it highlights differences in the labour market and working conditions of subpopulations such as immigrants and racialized groups. It helps inform research and policies related to the quality of employment in Canada. The assessment did not identify any privacy risks that cannot be managed using existing safeguards.
A supplement to the Generic PIA was conducted to determine if there were any privacy, confidentiality or security issues associated with the Parental Experiences Survey (PES) and if so, to make recommendations for their resolution or mitigation. This voluntary survey collects potentially sensitive information from respondents aged 15 years and older, such as pregnancy history and loss, difficult experiences during pregnancy and birth, mental health, substance use and experiences of domestic violence or childhood abuse. The results help inform national recommendations for maternal and newborn care as well as efforts to improve the mental health and well-being of parents and families across Canada. The assessment did not identify any privacy risks that cannot be managed using existing safeguards.
A supplement to the Generic PIA was conducted to determine if there were any privacy, confidentiality or security issues associated with the Survey of Safety in Public and Private Spaces (SSPPS) and if so, to make recommendations for their resolution or mitigation. This voluntary survey collects sensitive information from respondents aged 15 years and older. It describes additional measures implemented to support respondents during collection, and protections surrounding access to the information. The survey provides insights on the prevalence and nature of harassment, discrimination, and violent victimization in Canadian homes, work-related settings, schools, public spaces, and online, and explore differences in these experiences based on age, sex and gender, sexual orientation, and other socio-demographic factors, which will inform policies, laws, programs, and support services aimed at preventing and addressing victimization. The assessment did not identify any privacy risks that cannot be managed using existing safeguards.
A supplement to the Generic PIA was conducted to determine if there were any privacy, confidentiality or security issues associated with the Survey on Family Transitions (SFT) and if so, to make recommendations for their resolution or mitigation. This voluntary survey includes questions about the respondents’ family life and trajectories, including some personal information regarding dates of family events, gender identity, sexual orientation, ex-spouses/ex-partners, children, and other family/household members. The data is used to better understand how the needs of Canadian families have been changing over the past decades and assess the relevance of programs and policies related to families. This assessment did not identify any privacy risks that cannot be managed using existing safeguards.
A supplement to the Generic PIA was conducted to determine if there were any privacy, confidentiality or security issues associated with the Survey Series on First Nations People, Métis and Inuit (SSFNPMI) and if so, to make recommendations for their resolution or mitigation. This voluntary survey includes sensitive questions about health care discrimination and access to health care services, trust in institutions, impacts of rising prices, and income. The data serves to provide insights and fill data gaps in the areas of health care access, discrimination in a health care setting, well-being, the impact of rising prices, emergency preparedness and access to drinking water for First Nations Peoples living off reserve, Métis and Inuit. This assessment did not identify any privacy risks that cannot be managed using existing safeguards.
An amendment to the Engaging DisAbility Innovation Study: Employment and Accessibility Survey and the EDI Recollective Engagement PIA was conducted to determine if there were any privacy, confidentiality or security issues associated with the introduction of the usage of Drupal to conduct the survey and the additional linkage of certain administrative HR data (Personnel Employee Record) to replace the need to administer a handful of survey questions, thus improving data quality and reducing response burden, and if so, to make recommendations for their resolution or mitigation. Drupal is an established web-based direct collection interface currently in use at Statistics Canada that has been assessed and authorized to operate on Protected B information by the department’s IT security team. The assessment did not identify any privacy risks that cannot be managed using existing safeguards.
An amendment to the Public Service Employee Survey (PSES) PIA was conducted to determine if there were any privacy, confidentiality or security issues with the proposed changes and additional activities, namely the acquisition of PSES 2018, 2019 and 2020 data from the Treasury Board Secretariat of Canada (TBS) under the authority of the Statistics Act; and the removal of the cumulative number of respondents from the Collection Rate. Reporting Tool used for PSES 2022-23 and for future uses of the tool as it is deemed to no longer be required, and if so, to make recommendations for their resolution or mitigation. This assessment did not identify any privacy risks that cannot be managed using existing safeguards.
An addendum to the Supplement to Statistics Canada’s Generic PIA related to the 2024 Census Test was conducted to determine if there were any privacy, confidentiality or security issues associated with the addition of a question on sexual orientation that is being considered for the 2026 Census and the possible concerns of Canadians about the intrusiveness of the collection and if so, to make recommendations for their resolution or mitigation. The data would seek to fill an identified gap and respond to identified stakeholder needs, ensuring that all Canadians are represented, and to support programs that provide equal opportunity for everyone to share in the social, cultural, and economic life of Canada. The assessment did not identify any privacy risks that cannot be managed using existing safeguards.
An addendum to the Supplement to Statistics Canada's Generic PIA related to the Canadian Correctional Services Survey (CCSS) was conducted to determine if there were any privacy, confidentiality or security issues associated with the addition of sensitive personal information to the survey and if so, to make recommendations for their resolution or mitigation. This voluntary survey has added questions on sex at birth and gender, multiple identities for racialized groups, homelessness indicator and Intensive Rehabilitation Custody and Supervision (IRCS) program number. The new data elements help meet data gaps and allow enhanced analytical capacity that inform and contribute to the creation of evidence-based policy and program development which will benefit correctional services programs and justice partners, as well as the Canadian public. The assessment did not identify any privacy risks that cannot be managed using existing safeguards.
An addendum to the Supplement to Statistics Canada’s Generic PIA related to the Canadian Health Measures Survey (CHMS) was conducted to determine if there were any privacy, confidentiality or security issues associated with the use of USB keys at temporary health clinics and with the use of stand-alone laptops and USB keys to transfer data between unconnected devices and devices connected to Statistics Canada’s secure private network servers at temporary health clinics and if so, to make recommendations for their resolution or mitigation. The assessment did not identify any privacy risks that cannot be managed using existing safeguards.
An addendum to the Supplement to Statistics Canada’s Generic PIA related to the Canadian Health Survey on Children and Youth (CHSCY) was conducted to determine if there were any privacy, confidentiality or security issues associated with changes in the content, methodology, and respondent communication strategy for the survey and if so, to make recommendations for their resolution or mitigation. This voluntary survey which will now comprise in a single collection period rather than two, is now also significantly shorter as several modules were removed and new ones introduced. The program is also expanded to include the territories, providing a more comprehensive demographic coverage. The assessment did not identify any privacy risks that cannot be managed using existing safeguards.
As outlined in Statistics Canada’s Directive on Microdata Linkage, linkages of different records pertaining to the same individual are carried out only for statistical purposes and only in cases where the public good is clearly evident. One of the primary objectives of these linkages is to produce statistical information that facilitates a better understanding of Canadian society, the economy, and the environment.
All microdata linkage proposals must satisfy a prescribed review process as outlined in the directive. In addition to demonstrating the public benefit, each submission must provide details of the output. The public dissemination of any information resulting from microdata linkage, like all other statistical information, is only at an aggregate level which protects the confidentiality of the information of individuals.
In 2024-2054, there were 30 approved microdata linkages that involved personal information. A summary of these microdata linkages is found in Appendix B.
No disclosures were made under paragraph 8(2)(m) of the Privacy Act during the reporting period.
At Statistics Canada, the ATIP Office processes and monitors requests by registering them in a comprehensive system known as Privasoft – Access Pro Case Management. An acknowledgement of the request is sent to the client and a retrieval form is forwarded to the relevant program area, Office of Primary Interest (OPI), for responsive records. If the OPI and/or the ATIP Office need to clarify the request, the ATIP Office contacts the client.
The retrieval form provided to the OPI was created by the ATIP Office at Statistics Canada and is based upon the Policy on Access to Information and the Directive on Access to Information Requests from the Treasury Board Secretariat of Canada. The form includes the text of the request, the name and phone number of the ATIP Officer, and the date by which records are required (normally 5 to 10 days). The form includes a checklist, which the OPIs complete to confirm that they have conducted a thorough search, and a recommendation schedule for identifying sensitive information and the specific nature of the injury that could be caused by release. The individual providing the records is asked to identify any records which may be sensitive in nature (e.g., legal issues, Cabinet confidences, personal information, company information, advice to the Minister), which may require consultations, and/or which may generate media interest. The Director General, or appropriate delegate, of the program area sign-off the form.
The ATIP Office assists the program areas with administrative procedures related to the retrieval of records. Once the documents are received from the OPI, the ATIP Office ensures a retrieval form is duly completed by the program executive. The OPI and program executives are reminded of the importance of responding to ATIP requests in a timely and comprehensive manner. The performance of OPIs to respond to requests for records is reported to senior management in a monthly dashboard, to ensure that any issues are identified and addressed.
When reviewing responsive records, if there are documents that were created by or pertain to another department, we only consult under the Privacy Act if we have reason to believe that redactions would be applied. Under the Privacy Act we seek to limit consultations as much as possible, to retain the confidentiality of the requester. For Privacy requests received this fiscal year, our only consultations have been to the Department of Justice where there was an active court case.
The information requested under the Privacy Act can typically be provided within the 30-day time period. Census information can be requested under the Act, or through the Census and Pension Search Centre. The volume of requests received by the organization is not onerous enough to necessitate creating an alternate method of availability.
The Minister of Innovation, Science and Industry, pursuant to section 73 of the Access to Information Act and section 73 of the Privacy Act, hereby designates the persons holding the positions set out in the schedule hereto, or the persons occupying on an acting basis those positions, to exercise the powers and functions of the Minister as the head of Statistics Canada, under the section of the Act set out in the schedule opposite each position. This Delegation Order supersedes all previous Delegation Orders.
| Position | Access to Information Act and Regulations | Privacy Act and Regulations |
|---|---|---|
| Chief Statistician of Canada | Full authority | Full authority |
| Chief of Staff, Office of the Chief Statistician | Full authority | Full authority |
| Director, Office of Privacy Management and Information Coordination | Full authority | Full authority |
| Assistant Director, Office of Privacy Management and Information Coordination | Full authority | Full authority |
| Senior Access to Information and Privacy Project Manager | Sections: 7(a), 8(1), 9, 11(2), 11(3), 11(4), 11(5), 11(6), 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27(1), 27(4), 28(1)(b), 28(2), 28(4), 68, 69, 71(1) Regulations: Sections: 6(1), 7(1), 7(2), 7(3), 8, 8.1 |
Sections: 8(2)(j), 8(2)(m), 10, 14, 15, 17(2)(b), 17(3)(b), 18(2), 19(1), 19(2), 20, 21, 22, 23, 24, 25, 26, 27, 28, 70 Regulations: Sections: 9, 11(2), 11(4), 13(1), 14 |
| Senior Access to Information and Privacy Project Officer | Sections: 7(a), 8(1), 9, 11(2), 11(3), 11(4), 11(5), 11(6), 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27(1), 27(4), 28(1)(b), 28(2), 28(4), 68, 69, 71(1) Regulations: Sections: 6(1), 7(1), 7(2), 7(3), 8, 8.1 |
Sections: 8(2)(j), 8(2)(m), 10, 14, 15, 17(2)(b), 17(3)(b), 18(2), 19(1), 19(2), 20, 21, 22, 23, 24, 25, 26, 27, 28, 70 Regulations: Sections: 9, 11(2), 11(4), 13(1), 14 |
| Analyst, Access to Information and Privacy | Sections: 7(a), 8(1), 9, 11(2), 11(3), 11(4), 11(5), 11(6), 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27(1), 27(4), 28(1)(b), 28(2), 28(4), 68, 69, 71(1) Regulations: Sections: 6(1), 7(1), 7(2), 7(3), 8, 8.1 |
Sections: 8(2)(j), 8(2)(m), 10, 14, 15, 17(2)(b), 17(3)(b), 18(2), 19(1), 19(2), 20, 21, 22, 23, 24, 25, 26, 27, 28, 70 Regulations: Sections: 9, 11(2), 11(4), 13(1), 14 |
| Intake Officer, Access to Information and Privacy | Sections 7(a), 8(1), 9, 11(2), 11(3), 11(4), 11(5), 11(6), 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27(1), 27(4), 28(1)(b), 28(2), 28(4), 68, 69, 71(1) Regulations: Sections: 6(1), 7(1), 7(2), 7(3), 8, 8.1 |
Sections: 8(2)(j), 8(2)(m), 10, 14, 15, 17(2)(b), 17(3)(b), 18(2), 19(1), 19(2), 20, 21, 22, 23, 24, 25, 26, 27, 28, 70 Regulations: Sections: 9, 11(2), 11(4), 13(1), 14 |
The original version was signed by
The Honourable François-Philippe Champagne
Minister of Innovation, Science and Industry
Dated, at the City of Ottawa
May 18, 2021
Name of institution: Statistics Canada
Reporting period: 2024-04-01 to 2025-03-31
| Number of Requests | ||
|---|---|---|
| Received during reporting period | 40 | |
| Outstanding from previous reporting periods | 1 | |
|
Outstanding from previous reporting period
|
1 | |
|
Outstanding from more than one reporting period
|
0 | |
| Total | 41 | |
| Closed during reporting period | 34 | |
| Carried over to next reporting period | 7 | |
|
Carried over within legislated timeline
|
5 | |
|
Carried over beyond legislated timeline
|
2 | |
| Source | Number of Requests |
|---|---|
| Online | 38 |
| 2 | |
| 0 | |
| In person | 0 |
| Phone | 0 |
| Fax | 0 |
| Total | 40 |
| Number of Requests | ||
|---|---|---|
| Received during reporting period | 1 | |
| Outstanding from previous reporting periods | 0 | |
|
Outstanding from previous reporting period
|
0 | |
|
Outstanding from more than one reporting period
|
0 | |
| Total | 1 | |
| Closed during reporting period | 1 | |
| Carried over to next reporting period | 0 | |
| Source | Number of Requests |
|---|---|
| Online | 0 |
| 1 | |
| 0 | |
| In person | 0 |
| Phone | 0 |
| Fax | 0 |
| Total | 1 |
| 0 to 15 Days | 16 to 30 Days | 31 to 60 Days | 61 to 120 Days | 121 to 180 Days | 181 to 365 Days | More Than 365 Days | Total |
|---|---|---|---|---|---|---|---|
| 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| Less Than 100 Pages Released | 100-500 Pages Released | 501-1000 Pages Released | 1001-5000 Pages Released | More Than 5000 Pages Released | |||||
|---|---|---|---|---|---|---|---|---|---|
| Number of Requests | Pages Released | Number of Requests | Pages Released | Number of Requests | Pages Released | Number of Requests | Pages Released | Number of Requests | Pages Released |
| 1 | 36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Disposition of Requests | Completion Time | |||||||
|---|---|---|---|---|---|---|---|---|
| 0 to 15 Days | 16 to 30 Days | 31 to 60 Days | 61 to 120 Days | 121 to 180 Days | 181 to 365 Days | More Than 365 Days | Total | |
| All Disclosed | 3 | 4 | 1 | 0 | 0 | 0 | 0 | 8 |
| Disclosed in part | 0 | 10 | 7 | 0 | 0 | 0 | 0 | 17 |
| All exempted | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All excluded | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| No records exist | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 |
| Request abandoned | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
| Neither confirmed nor denied | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 |
| Total | 7 | 18 | 9 | 0 | 0 | 0 | 0 | 34 |
| Section | Number of Requests |
|---|---|
| 18(2) | 0 |
| 19(1)(a) | 1 |
| 19(1)(b) | 0 |
| 19(1)(c) | 0 |
| 19(1)(d) | 0 |
| 19(1)(e) | 0 |
| 19(1)(f) | 0 |
| 20 | 0 |
| 21 | 0 |
| 22(1)(a)(i) | 0 |
| 22(1)(a)(ii) | 0 |
| 22(1)(a)(iii) | 0 |
| 22(1)(b) | 0 |
| 22(1)(c) | 0 |
| 22(2) | 0 |
| 22.1 | 0 |
| 22.2 | 0 |
| 22.3 | 0 |
| 22.4 | 0 |
| 23(a) | 0 |
| 23(b) | 0 |
| 24(a) | 0 |
| 24(b) | 0 |
| 25 | 1 |
| 26 | 16 |
| 27 | 2 |
| 27.1 | 0 |
| 28 | 0 |
| Section | Number of Requests |
|---|---|
| 69(1)(a) | 0 |
| 69(1)(b) | 0 |
| 69.1 | 0 |
| 70(1) | 0 |
| 70(1)(a) | 0 |
| 70(1)(b) | 0 |
| 70(1)(c) | 0 |
| 70(1)(d) | 0 |
| 70(1)(e) | 0 |
| 70(1)(f) | 0 |
| 70.1 | 0 |
| Paper | Electronic | Other | |||
|---|---|---|---|---|---|
| E-record | Data set | Video | Audio | ||
| 2 | 23 | 0 | 0 | 0 | 0 |
| Number of Pages Processed | Number of Pages Disclosed | Number of Requests |
|---|---|---|
| 3813 | 2660 | 31 |
| Disposition | Less Than 100 Pages Processed | 100-500 Pages Processed | 501-1000 Pages Processed | 1001-5000 Pages Processed | More Than 5000 Pages Processed | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Number of Requests | Pages Processed | Number of Requests | Pages Processed | Number of Requests | Pages Processed | Number of Requests | Pages Processed | Number of Requests | Pages Processed | |
| All disclosed | 7 | 35 | 1 | 101 | 0 | 0 | 0 | 0 | 0 | 0 |
| Disclosed in part | 10 | 342 | 5 | 1249 | 1 | 517 | 1 | 1569 | 0 | 0 |
| All exempted | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All excluded | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Request abandoned | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Neither confirmed nor denied | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 23 | 377 | 6 | 1350 | 1 | 517 | 1 | 1569 | 0 | 0 |
| Number of Minutes Processed | Number of Minutes Disclosed | Number of Requests |
|---|---|---|
| 0 | 0 | 0 |
| Disposition | Less than 60 Minutes processed | 60-120 Minutes processed | More than 120 Minutes processed | |||
|---|---|---|---|---|---|---|
| Number of requests | Minutes Processed | Number of requests | Minutes Processed | Number of requests | Minutes Processed | |
| All disclosed | 0 | 0 | 0 | 0 | 0 | 0 |
| Disclosed in part | 0 | 0 | 0 | 0 | 0 | 0 |
| All exempted | 0 | 0 | 0 | 0 | 0 | 0 |
| All excluded | 0 | 0 | 0 | 0 | 0 | 0 |
| Request abandoned | 0 | 0 | 0 | 0 | 0 | 0 |
| Neither confirmed nor denied | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 |
| Number of Minutes Processed | Number of Minutes Disclosed | Number of Requests |
|---|---|---|
| 0 | 0 | 0 |
| Disposition | Less than 60 Minutes processed | 60-120 Minutes processed | More than 120 Minutes processed | |||
|---|---|---|---|---|---|---|
| Number of requests | Minutes Processed | Number of requests | Minutes Processed | Number of requests | Minutes Processed | |
| All disclosed | 0 | 0 | 0 | 0 | 0 | 0 |
| Disclosed in part | 0 | 0 | 0 | 0 | 0 | 0 |
| All exempted | 0 | 0 | 0 | 0 | 0 | 0 |
| All excluded | 0 | 0 | 0 | 0 | 0 | 0 |
| Request abandoned | 0 | 0 | 0 | 0 | 0 | 0 |
| Neither confirmed nor denied | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 |
| Disposition | Consultation Required | Legal Advice Sought | Interwoven Information | Other | Total |
|---|---|---|---|---|---|
| All disclosed | 0 | 0 | 0 | 0 | 0 |
| Disclosed in part | 0 | 1 | 0 | 0 | 1 |
| All exempted | 0 | 0 | 0 | 0 | 0 |
| All excluded | 0 | 0 | 0 | 0 | 0 |
| Request abandoned | 0 | 0 | 0 | 0 | 0 |
| Neither confirmed nor denied | 0 | 0 | 0 | 0 | 0 |
| Total | 0 | 1 | 0 | 0 | 1 |
| Number of requests closed within legislated timelines | 27 |
|---|---|
| Percentage of requests closed within legislated timelines (%) | 79.41176471 |
| Number of requests closed past the legislated timelines | Principal Reason | |||
|---|---|---|---|---|
| Interference with operations / Workload | External Consultation | Internal Consultation | Other | |
| 7 | 0 | 0 | 0 | 7 |
| Number of days past legislated timelines | Number of requests past legislated timeline where no extension was taken | Number of requests past legislated timeline where an extension was taken | Total |
|---|---|---|---|
| 1 to 15 days | 4 | 0 | 4 |
| 16 to 30 days | 2 | 0 | 2 |
| 31 to 60 days | 0 | 0 | 0 |
| 61 to 120 days | 1 | 0 | 1 |
| 121 to 180 days | 0 | 0 | 0 |
| 181 to 365 days | 0 | 0 | 0 |
| More than 365 days | 0 | 0 | 0 |
| Total | 7 | 0 | 7 |
| Translation Requests | Accepted | Refused | Total |
|---|---|---|---|
| English to French | 0 | 0 | 0 |
| French to English | 0 | 0 | 0 |
| Total | 0 | 0 | 0 |
| Paragraph 8(2)(e) | Paragraph 8(2)(m) | Subsection 8(5) | Total |
|---|---|---|---|
| 0 | 0 | 0 | 0 |
| Disposition for Correction Requests Received | Number |
|---|---|
| Notations attached | 0 |
| Requests for correction accepted | 0 |
| Total | 0 |
| Number of extensions taken | 15(a)(i) Interference with operations | 15(a)(ii) Consultation | 15(b) Translation purposes or conversion | |||||
|---|---|---|---|---|---|---|---|---|
| Further review required to determine exemptions | Large volume of pages | Large volume of requests | Documents are difficult to obtain | Cabinet ConfidenceSection (Section 70) | External | Internal | ||
| 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
| Length of Extensions | 15(a)(i) Interference with operations | 15(a)(ii) Consultation | 15(b) Translation purposes or conversion | |||||
|---|---|---|---|---|---|---|---|---|
| Further review required to determine exemptions | Large volume of pages | Large volume of requests | Documents are difficult to obtain | Cabinet ConfidenceSection (Section 70) | External | Internal | ||
| 1 to 15 days | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 to 30 days | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
| 31 days or greater | 0 | |||||||
| Total | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
| Consultations | Other Government of Canada Institutions | Number of Pages to Review | Other Organizations | Number of Pages to Review |
|---|---|---|---|---|
| Received during the reporting period | 0 | 0 | 0 | 0 |
| Outstanding from the previous reporting period | 0 | 0 | 0 | 0 |
| Total | 0 | 0 | 0 | 0 |
| Closed during the reporting period | 0 | 0 | 0 | 0 |
| Carried over within negotiated timelines | 0 | 0 | 0 | 0 |
| Carried over beyond negotiated timelines | 0 | 0 | 0 | 0 |
| Recommendation | Number of Days Required to Complete Consultation Requests | |||||||
|---|---|---|---|---|---|---|---|---|
| 0 to 15 Days | 16 to 30 Days | 31 to 60 Days | 61 to 120 Days | 121 to 180 Days | 181 to 365 Days | More Than 365 Days | Total | |
| Disclose entirely | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Disclose in part | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Exempt entirely | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Exclude entirely | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Consult other institution | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Other | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Recommendation | Number of days required to complete consultation requests | |||||||
|---|---|---|---|---|---|---|---|---|
| 0 to 15 Days | 16 to 30 Days | 31 to 60 Days | 61 to 120 Days | 121 to 180 Days | 181 to 365 Days | More Than 365 Days | Total | |
| Disclose entirely | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Disclose in part | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Exempt entirely | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Exclude entirely | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Consult other institution | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Other | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Number of Days | Fewer Than 100 Pages Processed | 100-500 Pages Processed | 501-1000 Pages Processed | 1001-5000 Pages Processed | More Than 5000 Pages Processed | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Number of Requests | Pages Disclosed | Number of Requests | Pages Disclosed | Number of Requests | Pages Disclosed | Number of Requests | Pages Disclosed | Number of Requests | Pages Disclosed | |
| 1 to 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 to 30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 31 to 60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 61 to 120 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 121 to 180 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 181 to 365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| More than 365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Number of Days | Fewer Than 100 Pages Processed | 100-500 Pages Processed | 501-1000 Pages Processed | 1001-5000 Pages Processed | More Than 5000 Pages Processed | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Number of Requests | Pages Disclosed | Number of Requests | Pages Disclosed | Number of Requests | Pages Disclosed | Number of Requests | Pages Disclosed | Number of Requests | Pages Disclosed | |
| 1 to 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 to 30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 31 to 60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 61 to 120 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 121 to 180 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 181 to 365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| More than 365 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Section 31 | Section 33 | Section 35 | Court action | Total |
|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 |
| Number of PIAs completed | 3 |
|---|---|
| Number of PIAs modified | 12 |
| Personal Information Banks | Active | Created | Terminated | Modified |
|---|---|---|---|---|
| Institution-specific | 62 | 3 | 0 | 1 |
| Central | 0 | 0 | 0 | 0 |
| Total | 62 | 3 | 0 | 1 |
| Number of material privacy breaches reported to TBS | 0 |
|---|---|
| Number of material privacy breaches reported to OPC | 0 |
| Number of non-material privacy breaches | 7 |
|---|
| Expenditures | Amount | |
|---|---|---|
| Salaries | $35,745 | |
| Overtime | $981 | |
| Goods and Services | $532 | |
|
Professional services contracts
|
$0 | |
|
Other
|
$532 | |
| Total | $37,258 | |
| Resources | Person Years Dedicated to Privacy Activities |
|---|---|
| Full-time employees | 0.380 |
| Part-time and casual employees | 0.000 |
| Regional staff | 0.000 |
| Consultants and agency personnel | 0.000 |
| Students | 0.000 |
| Total | 0.380 |
| Note: Enter values to three decimal places. | |
Approved microdata linkages containing personal information
Purpose: The purpose of this project is to help fill current data gaps related to the impacts of filing a human rights complaint on complainants, up to, and following, resolution of the matter in Canada. These data are required to help create an improved body of knowledge about the prevalence, nature, and impact of filing a human rights complaint in Canada, which will better inform prevention measures and other forms of complainant support. The data will also help provide representative information about the risk factors and subpopulations with the greatest probability of experiencing discrimination, therefore better informing future prevention measures and forms of support.
Output: The linked data will be used by Statistics Canada to produce analytical outputs for the client and data providers in the form of custom tables, fact sheets, and an analytical report.
Purpose: The purpose of this microdata linkage project is to gather diversity related characteristics from other data sources and integrate them with administrative data on full-time and part-time/contract teaching staff in Canadians universities. This combined information will be used to create aggregate statistics on diverse populations within Canadian universities. These statistics may serve to report on the representation of diverse population groups among teaching personnel in Canadian universities and help measure progress toward an academic community that accurately reflects the Canadian population.
Output: The final microdata output from this linkage will be anonymized. All access to the linked microdata file will be restricted to Statistics Canada employees (including Statistics Canada deemed employees) whose work activities require access. Only non-confidential aggregate statistical outputs and insights that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Aggregate findings at the institutional level will be presented in a feasibility study, internal and external reporting documents, and presentations.
Purpose: The purpose of this project is to prepare and conduct analysis of a longitudinal administrative tax dataset for people that stayed in a shelter or participated in a Housing First program in Alberta between 2009 and 2018. The linkage between the Alberta data and tax data will enable researchers and governments to gain insight into the income and employment outcomes of Housing First program participants, and employment situations prior to entering a shelter. This insight will help in the development of strategies to mitigate some of the causes of homelessness and assess the effectiveness of the Housing First program in terms of participant outcomes concerning income and employment. Researchers and governments will have access to the analytical paper, and the linked datasets through the Research Data Centres.
Output: The findings of this project will be published in an analytical report made available on the Statistics Canada website. Engagement will be conducted with appropriate Indigenous stakeholders prior to release of any publications, tables, or other products using the linked datasets. The analytical files, without identifiers, will be made available for validation purposes via Statistics Canada’s Research Data Centres (RDCs). When this validation process is complete, then the final data will be made available to the broader RDC network. Access will only be granted to Statistics Canada deemed employees following the standard approval process. Only non-confidential aggregated statistics and analyses conforming to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act, will be released outside of Statistics Canada.
Purpose: The goal of this project is to provide the Seventh Quadrennial Judicial Compensation and Benefits Commission at the Department of Justice (DOJ) with statistics about the level and distribution of lawyers’ private practice compensation levels. The outputs will be aggregated statistical tables that will allow DOJ to evaluate and determine competitive compensation for federally appointed judges.
To undertake this project, Statistics Canada will compile and join the data for law professional corporations (LPCs) and legal partnerships with the corresponding Canadian Employer-Employee Dynamics Database and T5013 income tax fillings, for the latest year available, 2021. The work will focus only on legal corporations and partnerships under the NAICS code 541110 - Offices of lawyers. No other NAICS code will be considered.
Output: Aggregated statistical tables will be made available only to the Department of Justice, the client for this project. These will consist of tables on total incomes of private sector self-employed lawyers, law professional corporations (LPCs) and legal partnerships for the most recent year the income tax source data is available. Statistics calculated on professional income of self-employed lawyers will include the number, mean, median, standard deviation, and 75th percentile values, by age and Census Metropolitan Areas (CMAs) groups and the low-income cut-off of $80,000. Same statistics will also be calculated for legal partnerships (number, size, count of partner types), and the income generated and distributed to partners.
Purpose: This project is intended to enhance the ability of researchers and policy makers to address pressing questions in a timely manner, to help them to measure the outcome of policies and programs already in place, and possibly put in place new measures or improved public policy decisions that benefit Canadians. It allows for the creation of two linkage key files between the LAD, and the 2016 and 2021 censuses. These two files will be available in Statistics Canada’s research data centres (RDCs) to researchers with approved projects. It will fill important data gaps by providing a better understanding of the various socioeconomic backgrounds of Canadians and the long-term incomes (life cycle, income trajectories over time) and will facilitate research and recommendations on various challenges for the daily lives of Canadians.
Output: The final output will be two evergreen linkage key files updated annually when the LAD is updated: (1) linkage keys of the LAD to the 2016 Census and (2) linkage keys of the LAD to the 2021 Census. Each linkage key file will contain two fields representing non-confidential record identifiers: the first field will be the LAD identification number and the second will be the census identification number. These two fields will allow Statistics Canada deemed employees to link the LAD data with the relevant census long-form data. These linkage key files will be made available via Statistics Canada Secure Access Points (such as Research Data Centers), and access will be granted to Statistics Canada deemed employees following the standard approval process.
Only non-confidential aggregate statistics and analyses conforming to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act will be released outside Statistics Canada.
All products resulting from the linkage of the census and the LAD using the linkage key files covered by this linkage project will be disseminated in accordance with Statistics Canada's policies, guidelines and standards. Outputs from this linkage could include a wide range of analysis and standard data tables, as well as custom tabulations. Any data circulated outside of RDCs or Statistics Canada will be vetted according to the appropriate confidentiality rules in place for the products prior to circulation.
Purpose: As per the request by the Office of the Auditor General (OAG), Social Analysis and Modelling Division (SAMD) at Statistics Canada will link the Canada Summer Jobs (CSJ) program data to the census and administrative analytical files maintained by Statistics Canada. The linked file will allow SAMD to produce statistics related to the representation and potential outcomes associated with the CSJ by comparing program participants with suitable comparison groups.
For this purpose, data from the CSJ (2008 to 2023) will be linked to a suite of data files at Statistics Canada, including the long-form Census of Population (2016 and 2021), the Longitudinal Worker File (2008 to 2021), and the Postsecondary Student Information System (2009 to 2021).
Output: Tables with statistics related to the representation and potential outcomes associated with the CSJ will be delivered to the OAG (the client). Only aggregated statistics and findings from descriptive and multivariate analysis of this study will be released to the client in the form of custom tables.
Purpose: The main objective of this project is to estimate the effect of B.C.’s Ministry of Agriculture and Food’s FBB programs under the CAP on the financial performance of the recipients. Participants of B.C.’s FBB programs under the CAP will be linked to the B-LFE to extract key performance indicators which will be used in an impact study. The results of the study will support a better understanding of the impact on enterprises in B.C receiving support through the CAP.
Output: The output will be in the form of summary tables and fix effects models which will compare the economic performance of businesses that received financing support to the performance of non-supported businesses. The linked B.C.’s Ministry of Agriculture and Food - Food & Beverage Branch (FBB) programs list of businesses will be housed at Statistics Canada’s Centre for Special Business Project (CSBP).
A research dataset will be produced, and the full integrated database will be used by a Statistics Canada deemed employee to produce an analysis and custom-designed tables of non-confidential aggregate statistics for Agriculture and Agri-food Canada. The output will be analysed for confidentiality by CSBP employees.
Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.
Purpose: The proposed linkage will bring together the Nursing and Residential Care Facilities Survey (NRCFS) with selected files from the Canadian Employer-Employee Dynamic Database (CEEDD) to support research on the working conditions of the long-term care (LTC) workforce. The objective is to provide insights on the poorer economic and health outcomes experienced by workers in the LTC sector before and during the COVID-19 outbreak.
Output: An analytical file, with no personal identifiers, will be produced from this linkage process. Methodological and analytical findings resulting from these linked data may be used to prepare research findings for: publication in analytical reports or peer-reviewed scientific journals; presentation at conferences, workshops, or meetings; or tabular data or indicators for release on Statistics Canada’s website. Confidentiality vetting rules will be developed and applied in concordance with rules currently in place. Only non-confidential aggregated data and analytical products that conform to the confidentiality provision of the Statistics Act and any applicable requirements of the Privacy Act will be released outside of Statistics Canada. The linkage proposal is to address a current need to answer a specific research question and is not designed to provide a permanent linkage of CEEDD with NRCFS.
Purpose: The main objective of this project is to estimate the effect of the Alberta Ministry of Agriculture and Irrigation (AGI) Value-Added Agricultural Programs:
under the Canadian Agricultural Partnership on the financial performance of the recipients. The initial phase will involve preparing profiles of program participants and comparing them to eligible non-participants using the variables in the Business-Linkable File Environment (B-LFE) and the Diversity and Skills Database (DSD). The second phase will involve the use of matching to build a control group, and the use of regression models to study the effect of the programs on the financial performance of the recipients (e.g., revenues).
Output: The output will be in the form of summary tables and a fixed effects model which will examine the economic performance of businesses that received financial support from Alberta’s Ministry of Agriculture and Irrigation (AGI) Value-Added Agricultural Programs under the Canadian Agricultural Partnership to non-supported businesses. The linked Alberta Ministry of Agriculture and Irrigation (AGI) list of businesses will be housed at Statistics Canada’s Centre for Special Business Project (CSBP).
A research dataset will be produced, and the full integrated database will be used by a Statistics Canada deemed employee research team to produce an analysis and custom-designed tables of non-confidential aggregate statistics for Agriculture and Agri-Food Canada. The output will be analysed for confidentiality by CSBP employees. The output of this project will not be sent to the Canadian Centre for Data Development and Economic Research (CDER).
Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.
Purpose: This research project aims to measure Canadian manufacturers' responses to changes in environmental policies. The findings may contribute to public debate by evaluating the economic and environmental impacts of these policies. Additionally, it may help policymakers assess the effectiveness of environmental policies from both economic and environmental to better evaluate existing environmental policies and design better ones in the future.
Output: The anonymized data files will be made available via Statistics Canada Secure Access Points (such as Research Data Centres (RDC)), and access will only be granted to Statistics Canada deemed employees following the standard approval process. Researchers from the University of British Columbia and the Consumer Financial Protection Bureau will use the linked anonymized data files to produce a study for submission to a peer-reviewed journal. The anonymized data files will remain in the RDCs for future projects. Only non-confidential aggregate data that conforms to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.
Only non-confidential aggregate data that conforms to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada.
Purpose: The purpose of this project is to assess the effectiveness of the Indigenous Community Corrections Initiative (ICCI) in reducing re-contact with the criminal justice system. The ICCI supports alternatives to incarceration and reintegration projects responsive to the unique circumstances of Indigenous people in Canada.
Output: Linked analytical files and anonymized linking keys will be used by Statistics Canada to produce non-confidential aggregate statistical tables and analytical reports for Public Safety Canada.
Purpose: The Parliamentary Budget Officer (PBO) proposes a study to examine the distributional impacts of the proposed change in the inclusion rate of realized capital gains. To facilitate PBO’s analysis, Statistics Canada will link a set of selected variables from the Longitudinal Administrative Data (LAD), T1 family files (T1FF), T2 corporation tax files as well as T4 employment remuneration files and T5013 partnership tax files, covering the years from 2013 to 2022. The results of this study will enable PBO to better understand the distribution of households most affected by the proposed tax changes to capital gains and to provide evidence based, independent and non-partisan advice to parliamentarians on the proposed change, thus promoting greater budget transparency and accountability and supporting the development of fair and efficient tax policies in the best interests of Canadians.
Output: This microdata linkage will conform to Statistics Canada’s policies and standards and business and personal identifiers will be removed from the analysis file once linkage is complete. PBO researchers as Statistics Canada deemed employees will access the analytical file via Statistics Canada Secure Access Points to conduct proposed distribution analysis on realized capital gains. Only non-confidential analysis that will not result in the identification of an individual, business or organization will be released outside of Statistics Canada. Once the analysis is complete, the PBO will publish a report that will be made publicly available on its website and tabled in both Chambers of Parliament.
Purpose: The main objective of this project is to estimate the effect of the AAFC AgriInnovate program on the financial performance of the recipients. The initial phase will involve preparing profiles of program participants and comparing them to eligible non-participants and rejected participants using the variables in the Business-Linkable File Environment (B-LFE), including tax data, the Diversity and Skills Database (DSD) and Census variables of enterprise owners. The second phase will involve the use of matching to build a control group, and the use of regression models to study the effect of the program on the financial performance of the recipients (e.g., revenues).
Output: The output will be in the form of summary tables and a fixed effects model which will examine the economic performance of businesses that received financial support from the AAFC AgriInnovate program and those that did not receive support or were rejected applicants from the program. The linked AAFC AgriInnovate program list of businesses will be housed at Statistics Canada’s Centre for Special Business Project (CSBP), and a team of Statistics Canada deemed employee researchers from AAFC will prepare an impact study using tax variables.
Purpose: The goal of this project is to understand how the school experiences of students in the British Columbia kindergarten to grade 12 system differ based on demographic characteristics and to evaluate educational and labour market outcomes of students based on their school satisfaction. By linking to data in the Education Labour Market Longitudinal Platform, the demographics and trajectories of students can be modeled at the microdata level.
Output: Access to linked analytical file will be provided to researchers at the British Columbia Ministry of Education and Child Care working as deemed employees of Statistics Canada. Researchers will have access to the anonymized project files following the Statistics Canada standard procedures for deemed employees accessing files in the Statistics Canada Research Data Centres. Findings from the project will be made public as part of the BC Government’s ARDA (Anti-Racism Data Act) initiative.
Purpose: The goal of this project is to conduct a quantitative impact assessment of the Impact Canada Challenge Program. In particular, the project seeks to compare the outcomes of businesses that win the challenge to those of similar businesses that did not participate or did not win the Challenge. The ultimate objective is to probe the relationship between Challenge participation and firm outcomes related to innovation and business performance. The results will be used to improve Impact Canada’s ongoing Challenge program, including making informed changes to future Challenges, and tailoring them to better support participating firms going forward.
Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The release of the vetted outputs will be done by Statistics Canada staff. The information will be presented in the form of tables of regression results and summary statistics related to the project’s goal. The anonymized analytical file will be made available through Statistics Canada Secure Access Points (such as research data centres), and access will be granted to Statistics Canada deemed employees following the standard approval process. The clients will also have to become Statistics Canada deemed employee to access the data through an approved secure access point.
Purpose: The goal of the project is to investigate Business Development Bank of Canada (BDC) Capital’s role in the ecosystem of start-ups. By leveraging BDC’s unique position within Canada’s entrepreneurship ecosystem, this project will provide Innovation, Science and Economic Development Canada (ISED) a more comprehensive understanding of the funding landscape for startups. In particular, the project will investigate the impact of BDC Capital on company performance by comparing the growth, innovation, and competitiveness of BDC-backed firms with those receiving capital from other sources, highlighting BDC Capital's unique contributions to small and medium-sized enterprises success.
To undertake this project, ISED will provide BDC Capital client data alongside complementary information from private risk capital sources and government programs to link to Statistics Canada's Business Register and National Accounts Longitudinal Microdata File. The resulting linked data will be used to compare outcomes of firms supported by BDC Capital to a similar sample of firms.
Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The information will be presented in the form of tables of regression results and summary statistics. The anonymized analytical file will be accessed by Statistics Canada deemed employees at the Statistics Canada Federal Research Data Centre.
Purpose: The goal of this project is to assess the extent to which Canadian multinational enterprises (MNEs) engage in profit shifting and its impact on wages, productivity, and income inequality. By linking the Canadian Employer-Employee Dynamics Database with Country-by-Country Report data from 2016 to 2022, this study will examine the following:
Are profit shifting MNEs more productive than other similar corporations in Canada?
Output: The linked data will be used to write a research paper including a description of the methodology, non-confidential summary tables and non-confidential tabulations of the estimation results. This research will be disseminated through external publications (academic journals), Statistics Canada’s internal publications, presented at conferences and potentially to other federal government agencies.
Security measures for the linking keys, identifiers and linked analysis file will conform to Statistics Canada’s policies and standards. All direct business and individual identifiers will be removed from the analysis file once linkage is complete.
Purpose: The goal of the microdata linkage is to determine the business size of suppliers to the Government of Canada. Understanding business size of suppliers is critical to support evidence-based decisions in the context of a budget proposal to target a certain level of SME procurement that is being considered for inclusion in the 2024 Fall Economic Statement.
Output: The aggregate tables produced for Innovation, Science and Economic Development Canada (ISED) and will be shared publicly after STATCAN Confidentiality business rules are applied.
The microdata linkage results will be made available via Statistics Canada Secure Access Points (such as RDCs), and access will only be granted to Statistics Canada deemed employees following the standard approval process.
The microdata linkage results have been requested by ISED to be made available in the Federal Research Data Centre (FRDC)
Purpose: The purpose of this project is to better understand what accounts for the persistently high and accelerating prevalence of food insecurity despite a falling poverty rate in order to inform the development of effective policy responses to reduce household food insecurity. This project aims to determine the extent to which the misalignment of poverty and food insecurity rates through detailed exploration of the different reference periods for the measurement of household food insecurity and income in CIS, and the presence of households’ assets and debt. It also aims to determine the contribution of households’ recent experiences of negative income shocks to their current probability of food insecurity, and identify the key drivers of those shocks to inform public policy interventions.
As part of this cost-recovery project, Statistics Canada will be linking the CIS to a subset of variables from the T1 Family File. Access to the merged dataset will made be through the RDCs to employees of the PROOF research program of the University of Toronto. Only vetted tables with no identifiable information will be transferred to the researchers.
Output: The final linked analytical files without personal identifiers will be made available within Statistics Canada secure access points. Access will only be granted to researchers following the standard approval process. Research reports and presentations will be generated from the analysis files. Only non-confidential aggregate statistics and tables conforming to the confidentiality provisions of the Statistics Act and any applicable requirements of the Privacy Act will be released outside of Statistics Canada.
Purpose: The objective of this project is to assess the impact of the Canada Emergency Response Benefit (CERB) as a possible contributor to the spike in opioid overdoses during the COVID-19 pandemic. The researchers will be exploring the hypothesis that the unexpected, temporary increase in available cash provided through the CERB may have had a detrimental impact on a vulnerable segment of the population with a prescription history of opioids or mental illness leading to an increased use or addiction to opioids.
The study will include the new linkage of the Canadian Community Health Survey (CCHS) to the CERB and Employment Insurance Status Vector (EISV).
Output: Only aggregate data that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. Analytical datasets will be placed in the Research Data Centres (RDCs) and access will be granted following the standard RDC approval process. The source datasets will be anonymized and will respect variable restrictions in effect for the source datasets. Major findings will be used to create research papers for publication in peer-reviewed journals and presentations at workshops and conferences.
Purpose: The main objective of the Corrections Population Mortality Dataset is to provide academic researchers and government policy analysts additional narrative around individuals who experience mortality after correctional involvement. Using data from the Canadian Coroner and Medical Examiner Database (CCMED), the Canadian Correctional Services Survey (CCSS) and the Canadian Vital Statistics database (CVSD), we will be able to understand additional information around these unnatural deaths and the circumstances surrounding them. This includes deaths due to accidents, intentional self-harm, unintentional drug overdoses, and homicide. This study will attempt to address the existing significant data gaps around this highly vulnerable population.
Output: Only non-confidential aggregated tables, conforming to the confidentiality provisions of the Statistics Act, will be released outside of Statistics Canada. The analytical file, without personal identifiers, will be made available via Statistics Canada’s Secure Access Points and access will only be granted to Statistics Canada deemed employees following the standard Statistics Canada approval process.
Purpose: The goal of the project is to examine trends in the labour productivity of businesses supported through Investissement Québec’s Initiative Productivité Innovation program. Since Investissement Québec do not collect information on the labour productivity of businesses, they will provide the list of businesses they support to Statistics Canada, who will link the businesses to the Business Register and subsequently to the National Accounts Longitudinal Microdata File. The latter database contains businesses’ financial characteristics, which make it possible to calculate measures of productivity.
Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The output will be provided in the form of tables including trends in productivity of businesses by year and industry, in current and constant dollars, from 2015 to the most recent year available.
Purpose: The objective of this project is to examine the extent to which group differences in socioeconomic opportunities and circumstances can explain group differences in contacts with the criminal justice system. In particular, this project will focus on groups that are overrepresented in the criminal justice system.
Output: The analytical files and linking keys, without identifiers, will be made available via Statistics Canada’ Research Data Centres. Access will only be granted to Statistics Canada deemed employees following the standard approval process. Linked analytical files and anonymized linking keys may also be used by Statistics Canada to produce non-confidential aggregate statistical tables and analytical reports, such as reports for Statistics Canada’s flagship justice and public safety publication, Juristat.
Purpose: Our Health Counts (OHC) projects are conducted in partnership by Indigenous health scholars and local Indigenous health service providers and have produced estimates of the number of First Nations, Inuit and Métis people living in several urban areas, including London, Kenora, Ottawa, Thunder Bay and Toronto. These population estimates are higher than the corresponding 2016 Census counts from May 10, 2016. This collaborative project between OHC and Statistics Canada will explore these differences with the aim of improving the enumeration of First Nations, Métis and Inuit peoples living in urban and related homelands.
The project will involve a linkage between OHC data for First Nations, Métis and Inuit people living in Thunder Bay and Kenora, and Statistics Canada data holdings including the 2016 Census of Population, and the Derived Record Depository (Social Data Linkage Environment). All aspects of the project, including determining relevant data holdings to link to the OHC data, appropriate analysis methods, and dissemination of findings will be determined collaboratively. The OHC data will be provided by Anishnawbe Mushkiki (OHC Thunder Bay) and Waasegiizhig Nanaandawe’iyewigamig (OHC Kenora), who are the legal custodians of these OHC datasets. Survey respondents were asked if they consent to have their data linked to Census data. Only those who consented will be linked. Both the linked datasets and the original OHC data will be destroyed by Statistics Canada upon project completion.
Output: The output will include the proportion of OHC respondents who were linked to the 2016 Census and other datasets, as well as a description of the demographic characteristics (i.e., age, gender and geography) of those who were not successfully linked. Census enumeration status will also be compared to self-reported Census completion information in the OHC study. Only aggregate estimates that have been vetted for disclosure control will be disseminated.
Purpose: The goal of this project is to provide a profile of the Life Sciences industry to Health Canada so that it can understand the industry’s economic environment and assess potential impacts arising from the implementation of new regulations. Health Canada will provide a list of names of businesses that they have identified as being part of the subsector medical devices in Life Science Industries, which will be linked to the Business Register and subsequently to the National Accounts Longitudinal Microdata File. The latter database will be used to produce aggregate statistics on revenue and employment.
Output: Only non-confidential aggregate statistical outputs and analyses that conform to the confidentiality provisions of the Statistics Act will be released outside of Statistics Canada. The output will be provided in a dashboard, showing aggregate statistics of employment and revenue for the industry. This dashboard will be provided to Health Canada and will only be accessible to approved members of the OLRM.
Purpose: The federal Intensive Rehabilitative Custody and Supervision (IRCS) Program is a contribution program with all provinces and territories for the delivery of specialized therapeutic programs and services for youth with mental health needs who are convicted of a serious violent offence. The IRCS program is an important component of correctional supervision of youth in Canada. The main objective of this project is to allow linkage opportunities to identify criminal justice system re-contacts and other outcomes for the IRCS population. Summarized information describing outcomes of youth after participating in IRCS programs, and where appropriate, contrasting with outcomes for non-participant cohorts, has been a critical data gap in terms of evaluating the success of IRCS programs for many years. Working with participating youth corrections programs and Justice Canada, Statistics Canada aims to address this gap in its statistical program on youth corrections by integrating IRCS data with other social data to understand the impacts of the IRCS program. Justice partners and stakeholders as well as the Canadian public will benefit from the results compiled as the information contributes to the creation of evidence-based policy and program development, and thereby contributes to the public interest. These data will help fill the need to inform evidence-driven approaches to crime prevention and programs aimed at reducing recidivism, as well as programs designed for rehabilitation, community integration, and public safety.
Output: Statistics Canada will perform record linkage of these data under established governance and privacy framework, to develop analytical datasets to determine social outcomes of youth after participating in IRCS programs. Results, interpretation, and conclusions from the analysis using the linked data will be with respect to the linked participants and not generalized to the total IRCS population. A report on statistical aggregates will be made available to Justice Canada employees involved in the IRCS project. Only non-confidential aggregated tables, conforming to the confidentiality provisions of the Statistics Act, will be released outside of Statistics Canada.
Purpose: The purpose of the project is to improve understanding of Canadians' oral health, risk factors, and insurance coverage, aiming to inform policy development and monitor oral health trends over time. It supports the Canadian Dental Care Plan (CDCP) launched by Health Canada in December 2023, by providing essential data to enhance dental care services across Canada. The findings will aid in the CDCP's effective rollout and evaluation, ensuring equitable access to dental care and addressing regional and socio-economic disparities, ultimately benefiting the public good.
Output: The analytical files, without identifiers, will be made available via secure Statistics Canada access points such as the Federal Research Data Centre (FDRC) and research data centre network (RDC). Access will only be granted to Statistics Canada employees (including Statistics Canada deemed employees) whose work activities require access following the standard approval process.
Purpose: The purpose of this linkage project is to produce person-level information instead of dwelling-level information to be used for person-level social survey sampling purposes. This use of microdata linkage provides better-quality, detailed information for small communities and populations, saves time and money, and ensures that person-level social surveys remain accurate, relevant, and cost-efficient.
Output: The data from these linkages are integrated to produce sampling frames for social surveys. None of the statistical information resulting from the linkages will be disseminated.
