Trust Centre glossary

Terms starting with the letter A

Administrative data
Information collected by other organizations and government departments for their own purposes. Examples include birth and death records, tax data, border activity data, and satellite data. Statistics Canada gets these data to support its work under the Statistics Act and is legally required to keep them private, secure and confidential. This does not include information that is publicly available or provided under a licence.
Aggregate data
A total or average created by combining numbers from multiple sources. Statistics Canada commonly uses this method to present statistical information. It summarizes individual data points into a single set of statistics, such as averages or totals, to give a high-level overview.
Anonymized information
Information that has been de-identified to the point that there is no serious possibility of it being re-identified by a person or body having access to the information, whether they use it alone or in combination with any other information available to them at that point in time.

No terms start with the letter B

Terms starting with the letter C

Confidentiality
The protection of information about a person, a business or an organization. It involves a relationship of trust between the provider of the information and the organization collecting it, based on the assurance that the information will not be shared without proper legal authority. Statistics Canada takes strict measures to protect information collected for statistical purposes. These include ensuring that published results cannot reveal private details or be linked back to identifiable individuals or businesses.
Crowdsourcing
The collection of information from a large group of people, based on the idea that individuals are experts in their own communities. Examples include cannabis price tracking and the OpenStreetMap pilot project.

Terms starting with the letter D

Data ecosystem
The network of people, tools, processes, policies and infrastructure used to collect and analyze data.
Data governance
The structure for making decisions and assigning authority in managing data. It includes policies, roles and responsibilities to ensure data quality, privacy and security.
Data standards
Consistent names and definitions for populations, concepts, variables and classifications. Standards support data sharing, integration and analysis across sources.
Data stewardship
The management of data to ensure they are of high quality, accessible and used appropriately.
De-identified information
Information resulting from a de-identification process. This involves modifying personal information to remove or alter identifiers to reduce the risk of identifying individuals, and implementing controls to a degree that is reasonable in the context.
Direct identifiers
Pieces of information that can identify a specific person, business or organization on their own. For individuals, this includes personal details such as name, full address, phone number and government-issued numbers like a Social Insurance Number or provincial health number, as defined by the Privacy Act. For businesses, direct identifiers include the business name, Business Number and classification codes. Because this information can directly reveal someone’s identity, it is carefully protected to ensure privacy.
Disaggregated data
Aggregated data that have been broken down into smaller, more detailed categories or subgroups, such as by region, gender or ethnicity, allowing for a more nuanced understanding of different population groups.
Dissemination
The release of information collected through statistical activities.

No terms start with the letter E

No terms start with the letter F

No terms start with the letter G

No terms start with the letter H

Terms starting with the letter I

Imputation
A method used to fill in missing survey data by assigning estimated values, based on international best practices, to improve the quality of statistical estimates.

No terms start with the letter J

No terms start with the letter K

No terms start with the letter L

Terms starting with the letter M

Microdata
Detailed information collected from individuals, households or businesses. Researchers and governments can better understand trends and make decisions by turning these data into summary statistics. To protect privacy, access to microdata is carefully controlled. Each record represents one person or organization, such as a family, home, farm or company.
Microdata linkage
The process of combining two or more datasets containing micro-level records—such as those about individuals, households or businesses—to create a composite record about the same entity. This method makes it possible to generate new insights, enhances research and program design, and improves data quality, all while maintaining privacy protections. The resulting linked dataset must include information from more than one of the original data files.

No terms start with the letter N

Terms starting with the letter O

Official statistics
Statistics produced by national statistical systems. These systems include organizations and units that collect, process and share official statistics on behalf of the federal government. They operate under legal frameworks and follow professional standards such as independence and objectivity.
Open data
Structured data that are machine-readable and freely shared, used and built on without restrictions. Open data are generally licensed under an open licence.

Terms starting with the letter P

Principles of necessity and proportionality
Statistics Canada collects data only when they are clearly needed and serve the public good. These principles mean that only essential data are collected, the sensitivity of the data is considered and the least intrusive methods are used.
Privacy impact assessment
A process required by policy to identify, assess and reduce privacy risks. Government institutions must develop and maintain privacy impact assessments for all new or modified programs and activities that use personal information for an administrative purpose.
Privacy protocol
A description of a program or activity that uses personal information for a non-administrative purpose. Privacy protocols must be completed and updated to ensure personal information is handled in a way that aligns with the principles of the Privacy Act.

No terms start with the letter Q

No terms start with the letter R

Terms starting with the letter S

Security
Measures used to prevent protected information from being accessed or disclosed inappropriately, based on assessed threats and risks. Data security supports the protection of privacy, confidentiality and integrity.
Statistics
Numerical data or the science of working with such data. Statistics help turn data into useful information through mathematical analysis.
Synthetic data
Artificially generated data that mimic real data. They are used in place of actual data to protect confidentiality.

No terms start with the letter T

No terms start with the letter U

No terms start with the letter V

Terms starting with the letter W

Web scraping
The automated collection of publicly available data from websites using scripts or robots.

No terms start with the letter X

No terms start with the letter Y

No terms start with the letter Z

The science behind our surveys

The science behind our surveys: How we ensure quality and reduce burden

Every survey matters, and every response helps paint a more complete picture of Canada.

When you or your business is selected to take part in a Statistics Canada survey, it’s because you represent others with similar experiences. Your input helps ensure that everyone’s voice is counted, not just the loudest or most visible ones.

Statistics Canada uses scientific methods to choose participants in a fair and unbiased way. Each person or business selected plays an important role in making sure the results accurately reflect the population as a whole. We don’t add, swap, or remove people or businesses once a sample is chosen; this keeps results unbiased and representative.

How we make sure your time counts

We know your time is valuable. That’s why we use sampling—a scientific way to learn about the whole by asking a smaller, representative group. We also use existing information whenever possible from government programs or other reliable public sources, so fewer people need to respond. This approach

  • keeps surveys shorter and less frequent
  • reduces the time and effort needed from participants
  • produces accurate, balanced results that reflect all of Canada.

In some rare cases, such as the Census of Population, we need to reach everyone. But for most surveys, we ask only as many people or businesses as needed to ensure quality results.

The science behind the numbers

Behind every survey is a team of experts using methods built on decades of statistical theory and research. These methods make sure that

  • data are collected efficiently and fairly
  • results are accurate and unbiased
  • everyone in Canada has a fair chance to be represented.

As new technology and analytical tools evolve, we continue to refine our processes to reduce effort for participants while maintaining the highest standards of quality. All our work is guided by a quality framework that focuses on relevance, accuracy, timeliness, coherence, accessibility and interpretability.

Your privacy is always protected

Every survey follows strict rules to protect your personal information. Your responses are confidential and used only for statistical purposes. Before any survey is launched, we carefully review what data are needed to make sure the benefit to Canadians justifies the time and privacy involved.

We use strong privacy safeguards and disclosure controls, alongside secure systems and proven methods, so no individual or business can be identified in the statistics we publish.

Why your participation matters

The information you provide shapes the statistics that support programs, policies and services across Canada, from schools and hospitals to jobs and housing. It isn’t always obvious, but many important decisions that impact the day-to-day lives and long-term well-being of Canadians are made based on information produced by Statistics Canada.

By taking part, you’re helping ensure that decisions made by governments, businesses and communities are based on accurate, complete and representative information. We collect data to help better understand our country—its population, resources, economy, environment, society and culture.

If you or your business is selected to participate in a Statistics Canada survey, please take part. Your contribution helps create trustworthy data that reflect the experiences of all Canadians.

Disaggregated Data Action Plan Accomplishments Report 2024–2025: From Commitment to Continuity

Since its launch in 2021, the goal of the Disaggregated Data Action Plan (DDAP) has been to deliver the right data, at the right time, to the right people so policies, programs and services reflect the lived realities of all Canadians. By improving how data are collected, analyzed and shared, the DDAP empowers governments, businesses and communities to build a more inclusive and equitable society.

At its core, the DDAP was designed to enhance the quality and availability of statistics on four employment equity (EE) population groups: women, Indigenous people (First Nations, Métis, and Inuit), racialized populations (various subgroups) and persons with disabilities (various subgroups).

Recognizing that identity is multifaceted and that context matters, data are further broken down, where possible, by gender, ethnocultural background, age, sexual orientation and geography. Statistics Canada also endeavours to disaggregate data beyond identity indicators, such as by participation rate or size of business.

The 2024-25 DDAP Accomplishments Report highlights key insights from the analyses of disaggregated data and discusses how these insights are shaping policy and program decisions. While this report focuses on the 2024-25 fiscal year, the progress it highlights is built on foundational work from 2021 onward.

The report is organized into thematic categories: Economic inclusion through data; Social conditions; Health equity in focus; and Building capacity for equity. An additional section, titled "Whole-of-government impacts" details how other government departments and agencies have leveraged disaggregated data to inform policy and program design as well as decision-making.

Economic inclusion through data

Insights from the Labour Force Survey (LFS) and the Canadian Survey on Business Conditions (CSBC) have the potential to inform decision-making in the labour, employment and business areas, among others. Some selected insights can be found below.

According to data from the LFS supplement, in 2023, Filipino and Black workers were more likely to hold multiple jobs.

Specifically, 8.4% of Filipino workers held multiple jobs, compared with 5.3% of workers who were not racialized or Indigenous. Similarly, a larger percentage of Black workers (7.4%) than non-racialized, non-Indigenous workers held multiple jobs in 2023. Black workers were overrepresented in the healthcare and social assistance industry (20.7%) and Black employees were more likely to have earnings in the lowest weekly wage quartile (33.0%)than their non-racialized counterparts (23.3%).

Since 2022, data from the LFS supplements program have allowed Statistics Canada to report labour market indicators for persons with and without disabilities on an annual basis. These data complement the in-depth portrait provided by the Canadian Survey on Disability (CSD), which is conducted every five years and is the official source for the disability rate among the Canadian population.

According to these surveys, in 2024, half (50.4%) of persons with disabilities participated in the labour force, compared with 7 in 10 (70.2%) of those without disabilities. While men tend to have a higher labour force participation rate than women overall, the gap in the participation rate of men and women is much smaller or non-existent among persons with disabilities, notably because having a disability has a larger impact on the participation rate of men.

In June 2024, small businesses in Canada played a significant role in employing Canadians. However, CSBC data collected from April to May 2024 reveal that smaller businesses were less likely to hire in the short term. In fact, 5.0% of businesses with 1 to 19 employees expected the number of vacant positions to increase over the next three months, compared with 11.6% of businesses with 20 to 99 employees and 9.8% of businesses with 100 or more employees.

According to data collected by the CSBC on the representation of women and men in various workplace roles, from January to March 2025, 36.6% of senior management positions were held by women and 63.4% by men. In all other management roles, women represented 46.4% , while men represented 53.6%. For non-management positions, women made up 43.8% of the workforce, while men accounted for 56.2%. These figures reflect the gender distribution across distinct levels of employment, highlighting ongoing disparities in senior leadership roles.

Most employed people with disabilities face barriers at work.

The 2024 Survey Series on Accessibility, which focused on experiences with accessibility and employment, found that 69% of the employed population with disabilities or long-term conditions aged 15 to 64 experienced a barrier to accessibility in the workplace. The most prevalent barrier reported by these individuals was linked to difficulty with disclosing their disability (50%), followed closely by barriers in the physical environment, with 49% of this population group reporting encountering such barriers in the workplace.

Additional accomplishments in the labour and employment area include the development of questions and data collection to provide insights on the impact of artificial intelligence (AI) on the Canadian economy. This revealed that certain groups of workers, such as those living in urban areas, women, higher earners and highly educated individuals, are more likely to be employed in jobs that could be highly exposed to AI-related job transformation than other groups (see Exposure to artificial intelligence in Canadian jobs: Experimental estimates for more information).

Social conditions

Statistics Canada collects data on social indicators through a variety of surveys and tools. Some selected insights can be found below.

According to police-reported data, the rate of homicide victims is higher among Indigenous people than non-Indigenous people, and nearly one-third of homicide victims are identified by police as racialized.

Despite the overall decline in homicides, police reported 225 Indigenous homicide victims in 2024, 29 more than in 2023. In 2024, the homicide rate for Indigenous people (10.84 homicides per 100,000 Indigenous population) was approximately eight times higher than the rate among the non-Indigenous population (1.35 homicides per 100,000 non-Indigenous population).

Since 2014—the first year with complete Indigenous identity data for victims of homicide—Indigenous people have been overrepresented as homicide victims. For example, most of the increase in women victims of homicide was among Indigenous people, with 21 more Indigenous women victims reported in 2024 than in the previous year.

There were 226 victims of homicide identified by police as racialized (those identified as belonging to a visible minority group, as defined by the Employment Equity Act), accounting for 29% of homicide victims in 2024. This was similar to 2023.

Data from the Survey Series on People and their Communities reveal that having social connections mitigates harms associated with discrimination. Indeed, in 2023-24, 45% of all racialized Canadians reported experiencing discrimination over the previous five years. While discrimination has been related to negative mental and physical health, lower levels of life satisfaction and reduced hopefulness about the future, these outcomes become less pronounced when victims of discriminatory acts have strong personal support networks. Among racialized Canadians who reported experiencing discrimination in the previous five years, one-third (33%) reported having a high level of life satisfaction (scoring 8 or higher on a 10-point scale). This proportion increased to 47% among victims with strong family connections and to 49% for those with strong friend connections.

Charitable giving reflects community support for different causes and plays an essential role in supporting social initiatives led by the non-profit sector. According to the 2023 Survey on Giving, Volunteering and Participating, the overall volunteering rate and the number of hours dedicated to volunteering decreased from 2018 to 2023. The overall volunteer rate—which includes formal and informal volunteering—decreased by 8% from 2018 to 2023. Close to three in four people (73%) volunteered in 2023, compared with just under four in five people (79%) in 2018.

Meanwhile, the total number of hours of formal and informal volunteering by Canadians fell from 5.0 billion hours in 2018 to 4.1 billion hours in 2023, a drop of 18%. On average, people who volunteered dedicated 173 hours to volunteering in 2023, or 33 fewer hours than in 2018. Women, young adults aged 25 to 34, and people with an education level below high school diploma had the largest declines in the rate of formal volunteering.

The 2022 Time Use Survey revealed that parents who teleworked spent more time per day caring for, supervising or being with their children. Specifically, these data indicate that, in 2022, teleworking parents spent an average of 71 more minutes per day on these activities than non-teleworking parents. The gap between teleworkers and non-teleworkers was more noticeable among fathers, who spent 272 minutes and 201 minutes with their children per day, respectively. Overall, however, mothers still spent an average of 52 minutes more per day than fathers caring for children, regardless of telework status.

These findings suggest that telework is associated with increased parental involvement in childcare and time with children, especially for fathers. Mothers continued to spend more time on childcare, demonstrating that previously identified gender gaps persisted.

In Canada, more than 70 distinct Indigenous languages are spoken by First Nations people, Métis and Inuit.

Indigenous Peoples have consistently emphasized the importance of language as the primary tool to share their culture, world views and values as well as pass them on to future generations. In 2021, approximately one in eight Indigenous people (237,420 people) in Canada reported that Indigenous language acquisition plays a key role in cultural continuity. In 2022, two-thirds (67%) of parents of Indigenous children aged 1 to 5 years reported that it was very or somewhat important for their young children to know an Indigenous language.

Data collected by the Canadian Community Health Survey from 2019 to 2021 indicate that about 800,000 Canadians aged 25 to 64 reported being 2SLGBTQ+. Among this population, just over 1 in 10 were parents living with at least one child under 12, with more women than men being parents.

These insights, which may inform childcare and related programs, are made possible by Statistics Canada's ongoing efforts to improve data on 2SLGBTQ+ populations. Canada has led globally in this area, becoming the first country in 2021 to collect census data on transgender and non-binary people. In 2026, sexual orientation data will also be collected in the census, providing further data to support evidence-based decision-making.

In 2022, among Canadians aged 15 years and over, a greater proportion of women (30%) had a disability than men (24%).

Data from the Canadian Survey on Disability reveal that women were more likely than men to have a disability related to pain and mental health in 2022, with young women (15 to 24 years) being twice as likely as young men to have a mental health-related disability. The median income of women with disabilities was 11% lower than that of men with disabilities ($37,010 and $41,580, respectively.) These insights may be useful to inform the design of employment programs and advance strategies for inclusivity in the workplace.

Health equity in focus

The Canadian Community Health Survey (CCHS) is Canada's primary source of self-reported data on population health. It collects information on social indicators such as perceived general and mental health, daily stress levels, and life satisfaction. These indicators help assess health and well-being and provide insights into how people's perceptions of their health may reflect their socioeconomic conditions, quality of life and level of social inclusion.

The indicators are examined through a health lens because social determinants of health—such as income, education and experiences of discrimination—can reveal valuable information about populations that are more likely to face racism, social exclusion or economic hardship. The CCHS is especially useful for understanding the experiences of specific population groups, including racialized communities.

Data collected by the CCHS can provide additional health-related insights on Canada's diverse population. Some selected insights can be found below.

In 2023, just over half of the adult population who identified as belonging to a racialized community rated their health as generally very good or excellent (55.2%). That year, the Latin American (61.2%) and Filipino (58.7%) populations had the highest proportion of individuals who reported their health as being generally very good or excellent. The CCHS data also revealed greater differences in perceived health by age among racialized groups than among the non-Indigenous, non-racialized Canadian population in 2023.

For example, 67.3% of South Asians aged 18 to 34 described their health as being generally very good or excellent. This proportion drops to 49.8% among those aged 50 to 64 and to 21.2% among those aged 65 and over. By comparison, the proportion of the total adult population in Canada who reported very good or excellent health was 62.1% in the 18-to-34 group, 49.3% among those aged 50 to 64, and 40.5% among those aged 65 and over.

Data collected by Statistics Canada reveal a high impact of COVID-19 among Indigenous people. Specifically, the age-standardized COVID-19 mortality rate among First Nations females (74.3 deaths per 100,000 population) was over five times higher than the rate among non-Indigenous females (14.0 deaths per 100,000 population), while the COVID-19 death rate among Métis females (29.4 deaths per 100,000 population) was more than double the rate among non-Indigenous females.

To help fill identified data gaps and update breast cancer screening guidelines, Statistics Canada provided health authorities with key data on breast cancer incidence, stage, subtype and mortality by race and ethnicity. The results highlighted that compared with White women, higher age-specific incidence rates were observed among Filipina and women of multiple ethnicities aged 40 to 49, as well as among Arab women aged 50 to 59. Age-specific mortality rates were also higher among Black women aged 40 to 49 and First Nations and Métis women aged 60 to 69 than among White women. Breast cancer was diagnosed less frequently at stage 1 among Filipina, Black, South Asian and First Nations women than among White and Chinese women.

Data from the Survey Series on First Nations People, Métis and Inuit, released in November 2024, shed light on health care access and experiences among Indigenous people aged 15 and older. Specifically, these data reveal that, among First Nations people living off reserve and Inuit who had experienced unfair treatment, racism or discrimination from a health care professional, the most common setting was the hospital emergency room (50% for First Nations people living off reserve and 34% for Inuit), with 36% of Métis also reporting similar experiences in this setting. Among Métis, the most common setting was the doctor's office (46%).

Statistics Canada collaborated with the National Indigenous Fire Safety Council (NIFSC) to produce an article on fire risks among Indigenous people using the Canadian Coroner and Medical Examiner Database linked to the 2006 and 2016 censuses of population and the 2011 National Household Survey. This work was done to better understand the factors that contribute to higher fire-related mortality among Indigenous people.

This report highlighted risk factors that placed Indigenous people at higher risk of experiencing a fire-related death, with the aim of preventing these types of deaths in the future. In recognition of this collaborative work, the National Indigenous Fire Prevention Leadership Award was presented to Statistics Canada by the NIFSC, along with an eagle feather. The eagle feather holds profound meaning in Indigenous culture, signifying an acknowledgement of the recipient's journey or accomplishments.

Building capacity for equity

Statistics Canada played a leadership role in developing standards for gender of person and sex assigned at birth, which were endorsed by the Government of Canada in 2023-24. The agency has also developed supporting products, such as reference guides, to enable the implementation of these standards by all federal departments.

Statistics Canada developed three courses on disaggregated data analysis to be hosted on the Canada School of Public Service platform. These courses will help policymakers develop more targeted and effective public policies by identifying the unique needs and challenges faced by different demographic groups. The first one, "Working with Disaggregated Data for Better Policy Outcomes," was launched in November 2024. The second course, "Working with Disaggregated Data for Better Policy Outcomes: Black Entrepreneurship Case Study," was launched in fall 2025, while the third one, "Health Inequalities Case Study," is scheduled to launch in winter 2026.

Statistics Canada continued to deliver its internal workshop on disaggregated data analysis and developed a new course, the Analytical Sprint, to train analysts to write impactful disaggregated data stories. It also continued to integrate a disaggregated data lens into all its analytical courses, with the goal of reinforcing responsible disaggregation of data as a key principle to generate meaningful insights. Statistics Canada also delivered additional courses for external public servants, including a bootcamp for policy executives open to federal, provincial, territorial and municipal executives that focuses on building capacity for responsible disaggregated data analysis.

Whole-of-government impacts

Over the past few years, Statistics Canada has significantly enhanced the data landscape by increasing the availability of disaggregated data. This progress, driven by initiatives like the DDAP and a broader cultural shift within the agency, has had notable impacts across the Government of Canada.

One of the main examples of how disaggregated data are leveraged in the federal government's policies and programs lies with the application of Gender-based Analysis Plus (GBA Plus), including data from Statistics Canada's Gender, Diversity and Inclusion Statistics Hub, to better understand how intersecting identity, social and structural factors shape health outcomes. This approach supports evidence-informed decision-making and helps advance equity by ensuring that diverse lived experiences are considered in public policies and programs. The application of the Gender Results Framework (GRF) demonstrates the federal government's commitment to advancing gender equality through significant investments in key programs, policies and initiatives.

While some efforts—such as the GRF—are undertaken by all federal departments and agencies, many also leverage disaggregated data and the insights that can be drawn from disaggregated data analyses to inform their own program delivery and policy development. Some examples of this application can be found below.

Employment and Social Development Canada

Employment and Social Development Canada (ESDC) integrates GBA Plus and granular analysis across the policy and service continuum. As part of this approach, ESDC regularly leverages disaggregated data to inform policy and program development and to deepen understanding of the needs and experiences of clients and the impacts of programs and services.

ESDC uses disaggregated data to inform both the Disability Inclusion Action Plan and the ongoing implementation of the Accessible Canada Act (ACA). ESDC has been working with Statistics Canada to collect disaggregated data on accessibility that support the identification and removal of barriers over time.

ESDC is leveraging key disaggregated data from the 2022 Canadian Survey on Disability to create baseline information on the existence of barriers to accessibility in all seven priority areas set out in the ACA, including knowledge on how barriers are experienced in relation to the type and severity of disability. The inclusion of the Barriers Module, which explores experiences with specific types of accessibility barriers, from the 2022 CSD onward will help ESDC measure progress in the removal of barriers to accessibility over time.

Furthermore, ESDC leveraged disaggregated Canada Emergency Response Benefit (CERB) administrative data and data from key national surveys, such as the 2016 and 2021 census, the Labour Force Survey, the Canadian Income Survey and the Longitudinal Immigration Database to assess the impact of the CERB. These data enabled nuanced analyses of benefit uptake and labour market dynamics across diverse population groups (such as CERB duration by occupation and industry, labour supply patterns, teleworkability) and the experiences of vulnerable groups. As well, these data were used to identify service gaps among underrepresented populations and drive targeted policy changes to improve program accessibility and equity.

Additionally, disaggregated data from the 2021 Census of Population played a key role in supporting ESDC's Employment Equity Act Review Task Force. To accomplish this, ESDC leveraged Statistics Canada's "labour and language of work" release to incorporate equity-relevant indicators into the final report. These indicators included detailed breakdowns of educational attainment, income, immigrant status, Indigenous identity, gender and visible minority status.

On top of this, disaggregated data enabled ESDC to examine the impacts of COVID-19 and inflation on housing affordability across Canada. Leveraging data sources, including the Labour Force Survey (2019 to 2023), the 2021 Census, and the Canadian Housing Survey (2018, 2021 and 2022), among others, revealed that low-income Canadians were hit hardest, facing greater income losses, debt burden and housing costs. These findings identified key policy implications, including the need to boost wages through human capital development and expand the skilled trades workforce to meet housing construction needs.

Immigration, Refugees and Citizenship Canada

Immigration, Refugees and Citizenship Canada (IRCC) regularly uses disaggregated data to inform its policy and program development, as well as better understand issues related to its programs. For example, in 2025, IRCC undertook a research project to examine the economic outcomes of refugees resettled to Canada from 2011 to 2021. To accomplish this, IRCC used a variety of sources, including 2021 Census data tables that were disaggregated specifically to the level of the various sub-streams of the Resettlement Assistance Program (government-assisted refugees and privately sponsored refugees) as well as by period of immigration. The variables examined included highest level of education, homeowner status, citizenship uptake.

Disaggregated data have been leveraged to assess the addition and removal of priority occupations for immigrant selection. The data have informed impacts on regions, wages, employment and gender for a comprehensive GBA Plus analysis of category-based selection. As well, IRCC juxtaposes Statistics Canada data with its own international visitor data to calibrate visa policy decisions that maximize economic benefits, including attracting top talent, while also minimizing risks of irregular migration, security threats and pressure on public programs.

Canadian Heritage

Canadian Heritage (PCH) has also leveraged DDAP data to support key initiatives, including Canada's Anti-Racism Strategy and Canada's Action Plan on Combatting Hate. The collaboration between Statistics Canada and PCH has further supported the Office of the Special Representative on Combatting Islamophobia, contributing to the release of an infographic on the Muslim population in Canada in December 2024 and continuing to inform Canada's reporting to the United Nations on international human rights instruments.

PCH particularly relies on disaggregated data produced by the census, the General Social Survey and the Survey Series on People and their Communities to measure the impacts of its programs and policies. In this aspect, themes such as sense of belonging, shared values, pride in Canadian arts and culture, life satisfaction, and experiences of racism and discrimination are key.

PCH leverages disaggregated data to support budget requests, planning, high-level governance and different policy and program decisions. Identity variables made available by Statistics Canada, including gender, ethnicity and age, provide PCH with the essential data it requires to examine inclusion, diversity, equity and accessibility.

Crown-Indigenous Relations and Northern Affairs Canada

Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) uses disaggregated data to better understand issues facing Indigenous Peoples by distinction and by region. For example, CIRNAC uses Community Well-Being Index scores, which are developed from disaggregated census data, to report on the socioeconomic conditions and well-being of Indigenous communities across Canada.

Through the implementation of its data strategy, CIRNAC is taking steps towards integrating disaggregated data into its routine policy and program development processes beyond results reporting. These efforts are strongly supported by the increased availability of disaggregated data from Statistics Canada since 2021.

Indeed, increasingly granular data have made steady inroads to enabling CIRNAC to better understand the diverse socioeconomic and health disparities that First Nations, Métis and Inuit communities face compared with other Canadians.

Efforts to date have supported more targeted approaches in areas such as housing, Indigenous economic development, and social programming in northern and remote communities. These insights can help inform decision-making, support more equitable outcomes, and identify data gaps that must be addressed through stronger partnerships and data governance with Indigenous Peoples.

Public Health Agency of Canada

The Public Health Agency of Canada (PHAC) leverages data to target promotion, program and policy efforts, such as the National Suicide Prevention Action Plan and the Healthy Canadians and Communities Fund. Data also inform peer-reviewed research articles, reporting on topics such as hepatitis B and C mortality, HIV mortality, population estimates of people who inject drugs in Canada, and population estimates of men who have sex with men, for instance. Disaggregated data also enhance PHAC's ability to conduct or complement public health surveillance activities speaking to, among other topics, concussion, falls and other injuries, mental health, physical activity, sedentary behaviour, sleep and obesity.

Additionally, disaggregated data are used by PHAC to support intersectoral engagement. This includes efforts such as House of Commons studies on the health of LGBTQIA2Footnote 1 communities, memoranda to Cabinet on food literacy, the Mental Health of Black Canadians Initiative, as well as PHAC's engagement on Canada's Anti-Racism Strategy (CARS 2.0) and the Federal 2SLGBTQI+ Action Plan.

PHAC also leverages disaggregated data to populate and update tools such as the Health of People in Canada (HOPIC) dashboard and the Health Inequalities Data Tool. The HOPIC dashboard provides a snapshot of the health of our populations, while illustrating the wide range of health, socioeconomic and environmental factors that interact to keep Canadians healthy and well. The Health Inequalities Data Tool leverages multiple datasets and variables for analyses, in turn enabling PHAC to provide key stakeholders with detailed, population-specific data that quantify the scale of health inequalities across Canada, including breakdowns at the provincial and territorial levels. This supports decision-making and strategic planning within PHAC and with external partners by providing publicly available and downloadable information.

Taken together, these initiatives underscore a transformative shift in how disaggregated data are leveraged across the federal government. The growing emphasis on these data not only enhances the inclusivity of policies and programs, but also reinforces a commitment to evidence-based decision-making that better serves the diverse needs of Canadians.

As Canada continues to evolve, so too must the data that inform its decisions. In recent years, the DDAP has laid a solid foundation for inclusive, responsive and equitable policymaking. Moving forward, sustained collaboration and innovation will be essential to deepen our understanding of diverse lived experiences and to ensure that every Canadian is seen, heard and served.

Canadian Economic News, November 2025 Edition

This module provides a concise summary of selected Canadian economic events, as well as international and financial market developments by calendar month. It is intended to provide contextual information only to support users of the economic data published by Statistics Canada. In identifying major events or developments, Statistics Canada is not suggesting that these have a material impact on the published economic data in a particular reference month.

All information presented here is obtained from publicly available news and information sources, and does not reflect any protected information provided to Statistics Canada by survey respondents.

Resources

  • Illinois-based Coeur Mining, Inc. and New Gold Inc. of Toronto announced they had entered into a definitive agreement whereby a wholly owned subsidiary of Coeur would acquire all of the issued and outstanding shares of New Gold for a total equity value of approximately USD $7 billion. The companies said the transaction is expected the close in the first half of 2026, subject to shareholder and applicable regulatory approvals and satisfaction of certain other closing conditions.
  • Calgary-based Baytex Energy Corp. announced it had entered into a definitive purchase and sale agreement to sell its U.S. Eagle Ford assets to an undisclosed buyer for approximately $3.25 billion in cash. Baytex said the transaction is expected to close in late 2025 or early 2026, subject to customary closing conditions and regulatory approvals.
  • Calgary-based Enbridge Inc. announced it had reached a final investment decision on the Mainline Optimization Phase 1 project that will add capacity to the Company's Mainline network and Flanagan South Pipeline, increasing deliveries of Canadian heavy oil to refining markets in the U.S. Midwest and Gulf Coast. Enbridge said the expected aggregate capital cost would be USD $1.4 billion.
  • Calgary-based Canacol Energy Ltd., a natural gas exploration and production company, announced that it and its subsidiaries were seeking an order for creditor protection from the Court of King's Bench of Alberta pursuant to the Companies' Creditors Arrangement Act (CCAA). Canacol said it faces a looming liquidity crisis from upcoming interest and principal payments under its funded debt obligations; reduced natural gas production; and increased trade and other accounts payables.
  • Vancouver-based West Fraser Timber Co. Ltd. announced it will permanently close both its Augusta, Georgia and 100 Mile House, British Columbia lumber mills by the end of 2025 due to timber supply challenges and soft lumber markets. West Fraser said the closures would impact 295 employees and reduce its capacity by 300 million board feet.

Economic and fiscal updates

  • The Government of Ontario released its 2025 Economic Outlook and Fiscal Review on November 6th, which included cutting red tape, investing in infrastructure, supporting workers, improving services, and making life more affordable. The Government forecasts a $13.5 billion deficit for 2025-26 and real gross domestic product (GDP) growth of 0.8% in 2025 and 0.9% in 2026.
  • The Government of Saskatchewan released its mid-year report on November 25th. The Government forecasts a $12 million surplus in 2025-26 and real GDP of 1.7% in 2025.
  • The Government of Quebec released its Fall 2025 Economic and Fiscal update on November 25th, which included additional initiatives totalling $8.3 billion to protect purchasing power and the economy. The Government forecasts a $9.9 billion deficit in 2025-26 and real GDP growth of 0.9% in 2025 and 1.1% in 2026.

Other news

  • The Government of Canada released its Budget 2025 on November 4th, which included investments in housing, infrastructure, defence, and productivity and competitiveness. The Government forecasts a $78.3 billion deficit for 2025-26 and real GDP growth of 1.1% in 2025 and 1.2% in 2026.
  • The Government of Canada announced the second tranche of nation-building projects to be referred to the Major Projects Office, including the North Coast Transmission Line in British Columbia, Ksi Lisims LNG on the north coast of British Columbia, Northcliff Resources' Sisson Mine in New Brunswick, Canada Nickel's Crawford Project in Ontario, the Iqaluit Nukkiksautiit Hydro Project in Nunavut, and Nouveau Monde Graphite's Matawinie Mine in Quebec. The Government said these projects represent $56 billion in new investment.
  • The Government of Canada announced that, building on previously announced measures to help transform the Canadian steel and softwood lumber industries, it would further limit foreign steel imports, make it easier to build with Canadian steel and Canadian lumber, and increase protections for Canadian steel and lumber workers and businesses.
  • The Government of Canada announced it had signed a memorandum of understanding (MOU) with the Government of Alberta that said upon receipt of a proposal from the Government of Alberta, the Government of Canada would provide an approval process under the Building Canada Act for the construction of a new pipeline that would transport at least one million barrels per day of oil to Asian markets. The Government said the MOU also advances multiple clean energy projects and measures, including advancing the construction of Pathways Plus, a carbon capture, utilisation, and storage project, as well as an industrial carbon pricing agreement for the province and an agreement to lower methane emissions by 75% over the next decade.
  • The Government of Ontario announced it had approved Ontario Power Generation's (OPG) plan to refurbish four CANDU nuclear reactors at the Pickering Nuclear Generating Station. The Government said the refurbishment will extend the facility's operations for up to 38 years, with the project expected to begin in early 2027 and completion by the mid-2030s.
  • The Committee on Internal Trade (CIT) announced that the Canadian Mutual Recognition Agreement (CMRA) on the sale of goods was signed by most federal, provincial, and territorial Ministers responsible for internal trade. The CIT said the CMRA ensures that businesses can sell their goods across Canada without having to meet duplicative regulatory requirements, unless the good is specifically exempted from the agreement.
  • Norway-based Vianode, a producer of advanced battery materials, announced it officially started site preparation at its new synthetic graphite facility in St. Thomas, Ontario. Vianode said the project is structured as a phased, multi-billion-dollar investment, and that, subject to reaching a definitive agreement, the Government of Ontario will provide a loan of up to $670 million in support of its investment. The company also said the plant is expected to create approximately 300 jobs in the first phase, and up to 1,000 at full capacity.

United States and other international news

  • The Reserve Bank of Australia (RBA) left the cash rate target unchanged at 3.60%. The last change in the cash rate target was a 25 basis points cut in August 2025.
  • The Bank of England's Monetary Policy Committee (MPC) voted to maintain the Bank Rate at 4.0%. The last change in the Bank Rate was a 25 basis points cut in August 2025.
  • The Executive Board of Sweden's Riksbank left the repo rate unchanged at 1.75%. The last change in the repo rate was a 25 basis points reduction in September 2025.
  • The Monetary Policy and Financial Stability Committee of Norway's Norges Bank left the policy rate unchanged at 4.00%. The last change in the policy rate was a 25 basis points decrease in September 2025.
  • The Reserve Bank of New Zealand (RBNZ) lowered the Official Cash Rate (OCR), its main policy rate, by 25 basis points to 2.25%. The last change in the OCR was a 50 basis points cut in October 2025.
  • The eight OPEC+ countries - Saudi Arabia, Russia, Iraq, UAE, Kuwait, Kazakhstan, Algeria, and Oman - announced they would implement a production adjustment of 137 thousand barrels per day from the 1.65 million barrels per day additional voluntary adjustments announced in April 2023. OPEC+ said this adjustment would be implemented in December 2025. OPEC also said that the eight countries had decided to pause the production increments in January, February, and March 2026.
  • Texas-based Kimberly-Clark Corporation and Kenvue Inc., a consumer health company of New Jersey, announced an agreement under which Kimberly-Clark will acquire all of the outstanding shares of Kenvue common stock in a cash and stock transaction that values Kenvue at an enterprise value of approximately USD $48.7 billion. The companies said the transaction is expected to close in the second half of 2026, subject to shareholder and regulatory approvals and satisfaction of other customary closing conditions.
  • New York-based IREN Limited announced it had signed a multi-year GPU cloud services contract with Microsoft whereby IREN will provide Microsoft with access to NVIDIA GB300 GPUs over a five-year term, with a total contract value of approximately USD $9.7 billion. IREN said the GPUs are expected to be deployed in phases through 2026 at its 750MW Childress, Texas campus.
  • Seatle, Washington-based Amazon Web Services (AWS) and OpenAI of California announced a new USD $38 billion multi-year, strategic partnership that provides AWS's infrastructure to run and scale OpenAI's core artificial intelligence (AI) workloads starting immediately.
  • Later, Amazon announced an investment of up to USD $50 billion to expand AI and supercomputing capabilities for Amazon Web Services' (AWS) U.S. government customers. Amazon said the investment is set to break ground in 2026.
  • California-based Google announced a new €5.5 billion investment (2026-2029) in infrastructure and offices in Germany — including a new data center in Dietzenbach, continued investments in the existing Hanau data center campus, and expanded office locations in Berlin, Frankfurt and Munich.
  • New York-based Brookfield Asset Management announced the launch of a USD $100 billion global AI Infrastructure program in partnership with NVIDIA and the Kuwait Investment Authority. Brookfield said it will deploy investment across every stage of the value chain—from energy and land to data centers and compute.
  • Washington State-based Microsoft announced that from the start of 2026 to the end of 2029, it will spend more than USD $7.9 billion in the United Arab Emirates (UAE), including more than $5.5 billion in capital expenses for ongoing and planned expansion of its AI and cloud infrastructure. Microsoft said that beginning in 2023 and through the end of this calendar year, it will have invested and spent just over $7.3 billion in the UAE.
  • California-based HP Inc. announced it expects to reduce gross global headcount by approximately 4,000-6,000 employees. HP said these actions are expected to be completed by the end of fiscal 2028.
  • Illinois-based Abbott and Exact Sciences of Wisconsin announced a definitive agreement for Abbott to acquire Exact Sciences for an estimated enterprise value of USD $23 billion. The companies said the closing is expected in the second quarter of 2026, subject to shareholder and regulatory approvals and other customary closing conditions.

Financial market news

  • West Texas Intermediate crude oil closed at USD $58.55 per barrel on November 28th, down from a closing value of USD $60.98 at the end of October. Western Canadian Select crude oil traded in the USD $45.00 to $49.00 per barrel range throughout November. The Canadian dollar closed at 71.54 cents U.S. on November 28th, up from 71.34 cents U.S. at the end of October. The S&P/TSX composite index closed at 31,382.78 on November 28th, up from 30,260.74 at the end of October.

Monthly Survey of Food Services and Drinking Places: CVs for Total Sales by Geography - September 2025

 

CVs for Total sales by geography
Geography Month
202409 202410 202411 202412 202501 202502 202503 202504 202505 202506 202507 202508 202509
percentage
Canada 0.14 0.14 0.19 0.14 0.17 0.22 0.16 0.15 0.16 0.09 0.10 0.12 0.13
Newfoundland and Labrador 0.59 0.57 0.75 0.71 0.69 1.01 0.63 0.78 0.45 0.50 0.46 1.05 1.13
Prince Edward Island 2.30 4.57 4.09 4.39 4.99 1.26 1.09 0.87 0.72 0.81 0.79 0.92 0.84
Nova Scotia 0.48 0.37 0.38 0.42 0.48 1.57 0.60 0.58 0.41 0.35 0.33 0.43 0.61
New Brunswick 0.52 0.46 0.57 0.62 0.59 0.82 0.57 0.51 0.42 0.49 0.38 0.49 0.87
Quebec 0.35 0.16 0.56 0.24 0.29 0.54 0.36 0.53 0.26 0.16 0.19 0.32 0.32
Ontario 0.25 0.30 0.31 0.29 0.34 0.35 0.31 0.23 0.36 0.17 0.15 0.17 0.17
Manitoba 0.46 0.40 0.48 0.55 0.70 0.74 0.75 0.56 0.50 0.39 0.47 0.54 0.51
Saskatchewan 0.59 0.83 0.75 0.99 0.65 0.69 0.52 0.54 0.47 0.53 0.51 0.63 0.77
Alberta 0.24 0.32 0.31 0.28 0.38 0.59 0.41 0.32 0.34 0.25 0.29 0.30 0.26
British Columbia 0.22 0.27 0.26 0.22 0.29 0.49 0.29 0.20 0.24 0.16 0.22 0.24 0.22
Yukon Territory 2.51 2.89 2.42 2.25 3.18 26.11 3.86 2.69 2.04 2.49 2.63 3.26 9.43
Northwest Territories 3.38 3.22 2.91 3.57 3.42 34.07 18.21 2.90 17.86 3.29 2.66 3.47 12.26
Nunavut 13.21 12.76 61.05 6.85 4.28 129.90 6.89 59.24 66.28 9.14 9.60 35.41 8.80

National Travel Survey: C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination - Q2 2025

National Travel Survey: C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination - Q2 2025
Table summary
This table displays the results of C.V.s for Person-Trips by Duration of Trip, Main Trip Purpose and Country or Region of Trip Destination. The information is grouped by Duration of trip (appearing as row headers), Main Trip Purpose, Country or Region of Trip Destination (Total, Canada, United States, Overseas) calculated using Person-Trips in Thousands (× 1,000) and C.V. as a units of measure (appearing as column headers).
Duration of Trip Main Trip Purpose Country or Region of Trip Destination
Total Canada United States Overseas
Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V. Person-Trips (x 1,000) C.V.
Total Duration Total Main Trip Purpose 87,547 A 79,374 A 5,075 A 3,098 A
Holiday, leisure or recreation 32,000 A 27,515 A 2,301 B 2,184 A
Visit friends or relatives 34,430 A 32,397 A 1,449 B 584 B
Personal conference, convention or trade show 1,583 D 1,486 D 81 E 16 E
Shopping, non-routine 6,074 B 5,862 B 204 D 8 E
Other personal reasons 6,439 B 5,827 B 505 D 108 D
Business conference, convention or trade show 2,319 B 1,978 B 253 C 88 D
Other business 4,701 B 4,309 B 281 D 110 C
Same-Day Total Main Trip Purpose 53,524 A 51,588 A 1,936 B ..  
Holiday, leisure or recreation 16,833 A 16,140 A 693 C ..  
Visit friends or relatives 21,296 A 20,784 A 512 C ..  
Personal conference, convention or trade show 963 E 956 E F   ..  
Shopping, non-routine 5,564 B 5,375 B 189 D ..  
Other personal reasons 4,780 C 4,397 C 383 E ..  
Business conference, convention or trade show 805 C 805 C F   ..  
Other business 3,283 C 3,131 C 152 E ..  
Overnight Total Main Trip Purpose 34,023 A 27,786 A 3,139 A 3,098 A
Holiday, leisure or recreation 15,167 A 11,375 A 1,607 B 2,184 A
Visit friends or relatives 13,134 A 11,613 A 937 B 584 B
Personal conference, convention or trade show 620 B 530 C 74 E 16 E
Shopping, non-routine 511 C 487 C 15 E 8 E
Other personal reasons 1,660 B 1,430 B 122 C 108 D
Business conference, convention or trade show 1,514 B 1,173 B 253 C 88 D
Other business 1,418 B 1,178 C 130 C 110 C
..
data not available

Estimates contained in this table have been assigned a letter to indicate their coefficient of variation (c.v.) (expressed as a percentage). The letter grades represent the following coefficients of variation:

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

National Travel Survey: C.V.s for Visit-Expenditures by Duration of Visit, Main Trip Purpose and Country or Region of Expenditures - Q2 2025

National Travel Survey: C.V.s for Visit-Expenditures by Duration of Visit, Main Trip Purpose and Country or Region of Expenditures, including expenditures at origin and those for air commercial transportation in Canada, in Thousands of Dollars (x 1,000)
Table summary
This table displays the results of C.V.s for Visit-Expenditures by Duration of Visit, Main Trip Purpose and Country or Region of Expenditures. The information is grouped by Duration of trip (appearing as row headers), Main Trip Purpose, Country or Region of Expenditures (Total, Canada, United States, Overseas) calculated using Visit-Expenditures in Thousands of Dollars (x 1,000) and c.v. as units of measure (appearing as column headers).
Duration of Visit Main Trip Purpose Country or Region of Expenditures
Total Canada United States Overseas
$ '000 C.V. $ '000 C.V. $ '000 C.V. $ '000 C.V.
Total Duration Total Main Trip Purpose 34,305,850 A 20,278,203 A 5,649,268 B 8,378,379 B
Holiday, leisure or recreation 18,647,920 B 8,444,017 B 3,943,947 B 6,259,957 B
Visit friends or relatives 7,518,287 B 5,712,637 B 723,600 C 1,082,050 C
Personal conference, convention or trade show 640,635 B 548,719 C 79,296 E 12,620 E
Shopping, non-routine 1,163,082 C 1,034,820 C 83,823 E

44,439

E
Other personal reasons 1,647,968 B 1,130,001 B 189,750 C 328,217 D
Business conference, convention or trade show 2,270,978 B 1,565,586 B 444,047 C 261,344 E
Other business 2,416,979 C 1,842,422 C 184,805 C 389,751 D
Same-Day Total Main Trip Purpose 6,269,322 B 5,903,858 B 276,423 C 89,040 E
Holiday, leisure or recreation 2,335,686 B 2,118,737 B 168,330 D 48,619 E
Visit friends or relatives 1,758,251 B 1,720,737 B 37,513 D ..  
Personal conference, convention or trade show 152,900 E 151,481 E F   ..  
Shopping, non-routine 923,090 C 846,827 C 36,358 E F  
Other personal reasons 477,247 C 449,949 C 26,781 E F  
Business conference, convention or trade show 130,545 C 130,529 C F   ..  
Other business 491,603 E 485,598 E 6,005 E ..  
Overnight Total Main Trip Purpose 28,036,528 A 14,374,345 A 5,372,844 B 8,289,339 B
Holiday, leisure or recreation 16,312,234 B 6,325,280 B 3,775,616 B 6,211,338 B
Visit friends or relatives 5,760,037 B 3,991,900 B 686,087 C 1,082,050 C
Personal conference, convention or trade show 487,735 B 397,238 C 77,877 E 12,620 E
Shopping, non-routine 239,992 E 187,994 D 47,464 E F  
Other personal reasons 1,170,722 B 680,052 B 162,968 D 327,701 D
Business conference, convention or trade show 2,140,432 B 1,435,057 B 444,031 C 261,344 E
Other business 1,925,376 C 1,356,824 C 178,800 C 389,751 D
..
data not available

Estimates contained in this table have been assigned a letter to indicate their coefficient of variation (c.v.) (expressed as a percentage). The letter grades represent the following coefficients of variation:

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

National Travel Survey Q2 2025: Response Rates

National Travel Survey Q2 2025: Response Rates
Table summary
This table displays the results of Response Rate. The information is grouped by Province of residence (appearing as row headers), Unweighted and Weighted (appearing as column headers), calculated using percentage unit of measure (appearing as column headers).
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

Visitor Travel Survey: AES Calibration Groups – Q2 2025

Table 1
AES Calibration Groups for American Visitors
Calibration groups Number of groups
Region/Province of entry by duration of stay 16
Table 2
AES Calibration Groups for Overseas Visitors
Calibration groups Number of groups
Country of residence  24
Country of residence by duration 48
Region by duration 10

Labour Market Indicators – December 2025

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.

Labour Market Indicators

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?

  1. Yes, you provided these services to earn income
  2. No, you did not provide these services

DPE_Q02 / EQ 3 - What platforms or apps did you use to provide taxi or ride services in the last 12 months?

  • Uber
  • Lyft
  • Other

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?

  1. Yes, you provided these services to earn income
  2. No, you did not provide these services

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?

  • Uber Eats
  • SkipTheDishes
  • DoorDash
  • Instacart
  • Amazon Flex
  • Fantuan
  • Other

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?

  1. Yes, you sold goods to earn income or profit for yourself
  2. You only sold goods you no longer needed
  3. No

DPE_Q06 / EQ 7 - What platforms or apps did you use to sell goods or advertise them for sale in the last 12 months?

  1. Amazon
  2. Etsy
  3. Kijiji
  4. Facebook Marketplace
  5. eBay
  6. Craigslist
  7. Other
    • Specify

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?

  • Cleaning, or handiwork such as assembling furniture, plumbing, yard work
  • 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
  • Create or post content such as videos, blogs or podcasts
  • Professional services
  • Other services
    • Specify
    OR
  • None of the above

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?

  • A room, a house, or any accommodation
  • A car, truck or van
  • Other
    • Specify
    OR
  • None of the above

DPE_Q18 / EQ 10 - Did you spend any time working as part of renting out the room, house or accommodation?

  1. Yes
  2. No

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?

  1. Yes, that was your main job or business
  2. Yes, that was one of your other jobs or businesses
  3. Yes, but not as part of a job or business that was previously mentioned
  4. No

DPE_Q20 / Q14 - What is the main reason why you started working through an Internet platform or app?

  1. To supplement income from a main job or to earn extra money
  2. For flexible working hours
  3. Interested in the work
  4. Difficulty finding other work
  5. Limited work options due to immigration status
  6. Offers higher earnings than alternative jobs
  7. Other
    • Specify