Statistics Canada's 2026-27 Departmental Plan

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At a glance

This departmental plan details Statistics Canada's priorities, plans and associated costs for the upcoming three fiscal years.

These plans align with the priorities outlined in the Mandate Letter as well as Statistics Canada's vision, mission, raison d'être and operating context.

Key priorities

Statistics Canada identified the following key priorities for 2026-27:

  • Build the next generation of statistical programs and operations.
  • Build and adopt a complete enabling infrastructure.
  • Shape a healthy, diverse and skilled workforce to meet the current and future needs of Canadians.

Comprehensive Expenditure Review

The government is committed to restraining the growth of day-to-day operational spending to make investments that will grow the economy and benefit Canadians.

As part of meeting this commitment, Statistics Canada is planning the following spending reductions (not cumulative):

  • 2026-27: $52,893,480
  • 2027-28: $69,715,356
  • 2028-29: $95,953,628

It is anticipated that these spending reductions will involve a decrease of approximately 900 full-time equivalents by 2028-29.

Statistics Canada will achieve these reductions by doing the following:

  • Program realignment through targeted reductions and rescoping.
  • Implementation of program cost-saving efficiencies.

The figures in this departmental plan reflect these reductions.

Highlights for Statistics Canada in 2026-27

Statistics Canada undertakes a wide array of data collection and analysis activities and two will be especially significant in 2026-27. As required by law, the agency will conduct the Census of Population and the Census of Agriculture, both of which will be launched in May 2026.

Through the Census of Population, the agency will collect and produce comprehensive information on the demographics of people and households across Canada. This national exercise requires extensive preparation to ensure that Statistics Canada's infrastructure, systems and workforce ready to deliver Canada's largest statistical undertaking. The 24th Census of Population will include new topics—such as sexual orientation and homelessness—and will leverage emerging technologies to better meet Canadians' evolving data needs.

For the 2026 Census of Agriculture, Statistics Canada will introduce questions on new commodities to capture emerging agricultural trends. The agency will also expand the use of administrative data to reduce response burden while maintaining the high-quality agricultural information that Canadians, businesses and governments rely on.

In 2026-27, total planned spending (including internal services) for Statistics Canada is $1,056,027,729 and total planned full-time equivalent staff (including internal services) is 7,293.

Summary of planned results

The following provides a summary of the results the department plans to achieve in 2026-27 under its main areas of activity, called "core responsibilities."

For complete information on Statistics Canada's total planned spending and human resources, read the Planned spending and human resources section of the full plan.

From the Minister

Headshot of The Honourable Mélanie Joly

The Honourable Mélanie Joly

Minister of Industry and Minister responsible for Canada Economic Development for Quebec Regions

It is our pleasure to present the 2026-27 Departmental Plan for Statistics Canada, which outlines the key priorities the agency is working to advance for the benefit of all Canadians.

As the country continues to face a complex landscape shaped by economic, demographic and technological shifts, Statistics Canada remains committed to its role as Canada's trusted data steward. By delivering timely, relevant and high-quality data, the agency empowers governments, businesses and communities to make evidence-based decisions that respond to evolving societal needs.

In 2026-27, Statistics Canada will increase the efficiency of its statistical programs to meet savings targets, while maintaining its commitment to excellence in data quality and service delivery. The agency will advance initiatives to strengthen data on affordability, housing, health, education and equity—critical areas that reflect the lived realities of Canadians and influence policy development across sectors. These efforts will be supported by the adoption of innovative tools, methodologies and technologies that improve data operations, collection, infrastructure and analysis.

Two significant undertakings for the year ahead are the 2026 Census of Population and the 2026 Census of Agriculture. These large-scale initiatives take place every five years and provide the most comprehensive statistical portraits of Canada's increasingly diverse population and its agriculture sector. Together, they serve as essential tools for planning services, infrastructure and programs that reflect the needs of all Canadians and support the sustainability of our communities and food systems.

Collectively, these initiatives ensure that Statistics Canada remains sustainable and focused on delivering what Canadians need today to build a better future.

We invite you to read this report to learn more about how Statistics Canada, as part of the Innovation, Science and Economic Development Canada Portfolio, is supporting all Canadians in participating in, and benefitting from, a competitive and growing economy.

The Honourable Mélanie Joly
Minister of Industry and Minister responsible for Canada Economic Development for Quebec Regions

From the Chief Statistician

Headshot of André Loranger

André Loranger

Chief Statistician of Canada

Canada is navigating a period of rapid and complex transformation. Shifts in the global trading environment, technological innovation and evolving social dynamics are reshaping the way Canadians live, work and interact. Statistics Canada plays a vital role in measuring and understanding the impact of changes on Canada's economy and society and providing critical insights to Canadians.

The agency's 2026-27 Departmental Plan reflects our commitment to delivering high-quality statistical information that supports evidence-based policy and decision making. Over the next few years, we will fulfill this commitment while at the same time implementing the austerity announced in Budget 2025. As we modernize our processes, we will continue to prioritize services and programs, while also finding new efficiencies. Through careful planning and prudent resource management, we will continue to invest in initiatives that enhance data quality, innovation and public value.

In 2026-27, the agency's work will continue to be guided by three key strategic priorities:

  • Build the next generation of statistical programs and operations.
  • Build and adopt a complete enabling infrastructure.
  • Shape a healthy, diverse and skilled workforce to meet the current and future needs of Canadians.

In May 2026, Statistics Canada will conduct the Census of Population, a cornerstone of Canada's statistical system. Following extensive consultations, this census will include new questions on homelessness, sexual orientation and mobility. These data will help inform policies on housing, health, education and equity, helping governments and communities to respond more effectively to real-world needs. We will also conduct the Census of Agriculture, which provides crucial agricultural information to farm operators, agricultural organizations and policy makers at all levels of government.

Beyond the censuses, Statistics Canada will continue to strengthen its economic and social statistics programs. Updated economic frameworks and an increased focus on trade statistics will help Canadians understand and navigate changing economic conditions, along with the critical information on affordability and inflation that we will continue to publish. In addition, new data on artificial intelligence (AI) and emerging technologies will help Canadian businesses stay competitive, while promoting digital access, safety and inclusion. The agency will expand social statistics and analysis on employment, housing, financial resilience, immigration and crime, which will help government programs and policies better reflect the different realities of Canadians.

Statistics Canada plays an important leadership role internationally, contributing to the development of international statistical standards, frameworks and classifications. This work shapes international statistics and ensures domestic data are aligned and comparable worldwide. To this end, the agency is a member of the Organisation for Economic Co-operation and Development's Committee on Statistics and Statistical Policy steering group which focuses on improving the quality and comparability of statistical data across countries. As chief statistician, I am also proud to continue to serve as chair of the United Nations Conference of European Statisticians (CES), driving innovation in the field of statistics. The CES is one of the oldest statistical bodies globally, with its roots tracing back to the League of Nations and the first Conference on Statistics in 1928. Over the years it has played a significant role in promoting statistical development and improving the methodologies used in national statistics. In addition to these statistical committees, Statistics Canada is well represented and leads many other international statistical expert and working groups.

Statistics Canada will continue to explore modern technologies and methodologies—such as innovative data collection strategies—and enhance its infrastructure. The agency's responsible integration of AI will improve the website search and power the new chatbot functionality, making it easier for Canadians to access and benefit from high-quality statistics, while boosting operational efficiency.

The agency will continue to invest in the development of our workforce with a focus on change management, analytical skills and leadership competencies. This training will ensure that managers and employees are equipped to adapt to evolving organizational needs.

Together, these initiatives will ensure that governments, businesses and people have the information they need to make sound decisions and build a more inclusive, resilient and prosperous Canada.

André Loranger
Chief Statistician of Canada

Plans to deliver on core responsibilities and internal services

Core responsibilities and internal services

Core responsibility: Statistical information

Description

Statistics Canada's core responsibility is to produce objective, high-quality statistical information for the whole of Canada. The statistical information produced relates to the commercial, industrial, financial, social, economic, environmental and other activities and conditions of the people of Canada.

The role of Statistics Canada as Canada's national statistical agency

Canada is experiencing a socioeconomic transformation shaped by global trade dynamics; demographic shifts; and rapid technological advances, such as artificial intelligence (AI). While AI offers opportunities to increase productivity and reshape industries, it also introduces complex considerations regarding privacy, ethics and workforce adaptation. In this environment, Statistics Canada's role as Canada's national statistical agency is more important than ever in providing timely and trusted data to inform evidence-based decisions and help Canadians navigate change.

Statistics Canada's extensive suite of statistical programs provides invaluable insight into Canada's economy, society and environment, informing decisions that affect Canadians every day—from determining where schools and health facilities are built to monitoring food prices and preparing for emergencies. Four of the agency's programs are foundational to shaping Canada's economic and social policies:

  • The Census of Population and the Census of Agriculture provide vital insights for infrastructure planning, community services and agricultural development.
  • The Consumer Price Index (CPI) tracks inflation, informing fiscal policy and the Bank of Canada's monetary decisions.
  • The Labour Force Survey (LFS) measures employment and labour market trends to guide workforce and training policies.
  • The System of National Accounts (SNA) provides a comprehensive view of economic activity, including gross domestic product (GDP), enabling analysis and decision making across government and industry.

Statistics Canada will carry out its role while

  • contributing to standards and statistical practices
  • maintaining trust in statistics
  • navigating a new reality for national statistical organizations.

It will do this in alignment with its key priorities while continuing to value and support employees. By fostering an inclusive and respectful workplace, Statistics Canada ensures its people are motivated and equipped to deliver results for Canadians.

  • Contributing to statistical standards and practices: To support its role and maintain public trust, Statistics Canada adheres to established standards and frameworks—such as the United Nations (UN) Fundamental Principles of Official Statistics (PDF)—ensuring credibility and data coherence and comparability over time. Through engagement with international organizations, the agency shapes global statistical standards, making sure that they reflect Canadian values and priorities and that domestic data are comparable worldwide.

    Within Canada, Statistics Canada will continue to lead the 2023–2026 Data Strategy for the Federal Public Service to promote sound data stewardship, secure and ethical data use, and high-quality statistical practices. Internationally, the agency contributes to developing and maintaining global classification systems—such as the North American Industry Classification System (NAICS) and the North American Product Classification System (NAPCS)—and participates in initiatives like the ongoing update of the Generic Statistical Business Process Model, led by the UN Economic Commission of Europe.

  • Maintaining trust in statistics: Statistics Canada's role is to provide Canadians with high-quality, reliable information they can trust. However, misinformation can erode confidence in public institutions and undermine this role. To address this challenge, Statistics Canada will continue to uphold the highest standards of scientific integrity and ethics, while strengthening transparency through its communication efforts, website updates and ongoing outreach via its Trust Centre.

    The agency will implement a misinformation response strategy that includes protocols to identify and address misinformation, enhance social media monitoring, and increase public engagement on responsible data use. Statistics Canada will also collaborate with other federal and international partners to share expertise and best practices for maintaining data integrity.

  • Navigating a new reality for national statistical organizations: National statistical organizations are navigating a rapidly evolving environment marked by declining response rates, growing privacy concerns, the increasing availability of big data and an expanding ecosystem of private data providers. To remain relevant and trustworthy, Statistics Canada will continue to innovate by adopting new methodologies, addressing ethical considerations and collaborating with partners across the data landscape.

    As part of this effort, the agency is leading international work to establish practical guidelines that will address non-response bias, reduce survey costs and enhance data quality, contributing to the evolution of national statistical systems worldwide.

Together, these initiatives will position Statistics Canada to build a more modern, responsive and trusted statistical system to serve Canadians in an era of rapid change. This work will be supported by a skilled and adaptable workforce and by partnerships that promote collaboration, learning and continuous improvement.

Quality of life impacts

Statistics Canada plays a key role in providing high-quality, timely data on quality of life in Canada. The agency's core responsibility—to provide high-quality statistical information for the whole of Canada—contributes to the "Good governance" domain of the Quality of Life Framework for Canada and, more specifically, to "Confidence in institutions." The agency's data will support other departments in planning their activities and reporting on quality of life outcomes.

Indicators, results and targets

This section presents details on the department's indicators, the actual results from the three most recently reported fiscal years, the targets and target dates for statistical information. Details are presented by departmental result.

Table 1: High-quality statistical information is available to Canadians

Table 1 provides a summary of the target and actual results for each indicator associated with the results under statistical information.

Table 1: High-quality statistical information is available to Canadians
Departmental Result Indicators Actual Results 2026–27 Target Date to Achieve Target
Number of post-release corrections due to accuracy for mission critical programs
  • 2022–23: 11
  • 2023–24: 4
  • 2024–25: 4
0Table 1 - Footnote 1 March 31, 2027
Percentage of international standards with which Statistics Canada conforms
  • 2022–23: 98%
  • 2023–24: 99%
  • 2024–25: 99%
95% March 31, 2027
Number of statistical products available on the website
  • 2022–23: 46,318
  • 2023–24: 49,084
  • 2024–25: 51,557
56,400 March 31, 2027
Number of Statistics Canada data tables available on the Open Data Portal
  • 2022–23: 8,884
  • 2023–24: 9,373
  • 2024–25: 9,823
10,600 March 31, 2027
Table 1 - Footnote 1

Statistics Canada aims to avoid any accuracy errors in its official release vehicle.

Table 1 - Return to footnote 1 referrer

Table 2: High-quality statistical information is accessed by Canadians

Table 2 provides a summary of the target and actual results for each indicator associated with the results under statistical information.

Table 2: High-quality statistical information is accessed by Canadians
Departmental Result Indicators Actual Results 2026–27 Target Date to Achieve Target
Number of visits to Statistics Canada's website
  • 2022–23: 31,283,576
  • 2023–24: 31,979,082
  • 2024–25: 29,651,045
40,000,000Table 2 - Footnote 1 March 31, 2027
Number of hits on Statistics Canada's Application Programming Interface (API)
  • 2022–23: 10,073,000
  • 2023–24: 16,136,428
  • 2024–25: 22,995,048
33,300,000Table 2 - Footnote 2 March 31, 2027
Percentage of website visitors that found what they were looking for
  • 2022–23: 75%
  • 2023–24: 76%
  • 2024–25: 77%
75%Table 2 - Footnote 3 March 31, 2027
Number of interactions on social media
  • 2022–23: 1,012,981
  • 2023–24: 1,048,983
  • 2024–25: 3,297,051
10,000,000Table 2 - Footnote 4 March 31, 2027
Table 2 - Footnote 1

An increase in the number of website visits is anticipated with the launch of the 2026 Census.

Table 2 - Return to footnote 1 referrer

Table 2 - Footnote 2

The target is based on recent historical increases in API use and anticipated continued growth.

Table 2 - Return to footnote 2 referrer

Table 2 - Footnote 3

The target for "percentage of website visitors who found what they were looking for" will be adjusted from 78% to 75% for the 2026-27 fiscal year.

Table 2 - Return to footnote 3 referrer

Table 2 - Footnote 4

The agency anticipates a significant increase in social media interactions because of the 2026 Census.

Table 2 - Return to footnote 4 referrer

Table 3: High-quality statistical information is relevant to Canadians

Table 3 provides a summary of the target and actual results for each indicator associated with the results under statistical information.

Table 3: High-quality statistical information is relevant to Canadians
Departmental Result Indicators Actual Results 2026–27 Target Date to Achieve Target
Number of media citations on Statistics Canada data
  • 2022–23: 213,229
  • 2023–24: 189,655
  • 2024–25: 148,285
140,000Table 3 - Footnote 1 March 31, 2027
Number of journal citations
  • 2022–23: 44,271
  • 2023–24: 44,042
  • 2024–25: 42,785
38,000 March 31, 2027
Percentage of users satisfied with statistical information
  • 2022–23: N/A
  • 2023–24: 88%
  • 2024–25: 92%
80% March 31, 2027
Table 3 - Footnote 1

The target reflects a higher anticipated level of activity due to increased media coverage for the 2026 Census.

Table 3 - Return to footnote 1 referrer

Additional information on the detailed results and performance information for the Statistics Canada's program inventory is available on GC InfoBase.

Plans to achieve results

The following section describes the planned results for statistical information in 2026-27.

Statistical information

In 2026-27, Statistics Canada will continue to modernize its statistical programs and provide its employees with the tools and training they need to deliver on its core responsibility of providing trustworthy, objective, high-quality information for Canadians. These efforts will allow the agency to maintain its relevance and support its key priority to build the next generation of statistical programs and operations.

The agency will focus on areas that are critical to responding to government priorities and building a comprehensive picture of the country:

  • the 2026 Censuses
  • economic statistics
  • social statistics
  • modern statistical methods
  • an enabled workforce.
The 2026 Censuses

Following several years of preparation, Statistics Canada will conduct the 2026 Census of Population and Census of Agriculture in May 2026. Together, these programs will produce detailed information on Canada's population of over 40 million people and their households, farms and agricultural products. Census data will inform planning for services such as child care, education and health care, as well as the development of policies and programs that support Canada's farm operators and their communities.

The census programs represent Statistics Canada's most complex and visible undertaking. They involve the recruitment of thousands of employees—including enumerators who conduct in-person data collection—and extensive coordination across the agency's collection, communications, analysis and dissemination teams. The Census of Population is expected to process approximately 2 million paper questionnaires and many more online submissions, while responding to over 1 million calls for assistance. In parallel, the Census of Agriculture will send out roughly 200,000 letters inviting farm operators to respond online, generating more than 3 million data points for analysis and dissemination.

  • Census of Population: In response to stakeholder feedback received during national consultations, the 2026 Census of Population will introduce new questions on sexual orientation, homelessness and mobility to address the evolving data needs of Canadians. It will also mark the first use of cloud technology in a Canadian census, enhancing data security and resilience against cyber threats. To further support respondents, the agency will introduce a new chatbot that provides real-time assistance throughout the collection process. Data releases will begin in February 2027 with information on population and dwelling counts.
  • Census of Agriculture: Statistics Canada will continue to modernize the Census of Agriculture to reduce its burden on respondents and better reflect emerging agricultural trends. Greater use of administrative data will simplify reporting for farm operators while supporting the collection of information on new products and practices in the sector. The first major release of Census of Agriculture results is planned for May 2027.
Economic statistics

Building on the foundation provided by the census, Statistics Canada's economic statistics program offers detailed insights into the forces shaping Canada's economy and its competitiveness in a rapidly changing world.

Statistics Canada plays a central role in providing reliable and timely economic data to support informed decision making by governments, businesses and Canadians. The agency's broad suite of programs—covering agriculture, business performance, construction, energy, the environment, GDP, inflation, manufacturing, trade and wealth—helps track the nation's economic performance. This information also promotes transparency and enables sound investment decisions across Canada's economy.

In 2026-27, Statistics Canada will continue to deliver its core economic statistics while responding to new and emerging data needs related to

  • economic performance
  • international trade
  • internal trade
  • affordability
  • new technologies.

Economic performance

Canada's economy continues to adjust to the realignment of global trade systems and the ongoing challenge of domestic labour productivity. In this context, Statistics Canada remains committed to producing accurate and timely data that help Canadians understand and respond to evolving economic conditions.

  • Economic measurement: Statistics Canada will continue to produce robust, high-quality estimates of economic activity through its suite of economic accounts. These accounts illustrate how money moves through the economy, detailing what people earn and spend, what businesses produce and invest, how much is traded internationally, and how government finances operate. This information forms the foundation for key indicators, such as GDP, to guide fiscal and monetary policy. The agency will also capture the economic impacts of events such as wildfires, infrastructure damage, and fiscal policy changes related to taxes and subsidies.
  • Updated frameworks: Statistics Canada will embark on a multi-year update of its measurement frameworks to align with the 2025 System of National Accounts (SNA) and the seventh edition of the Balance of Payments and International Investment Position Manual. These updates will be coordinated with those of other national statistical organizations to ensure international comparability. The changes will strengthen Canada's capacity to measure emerging areas of the economy, such as the valuation of natural resources and data, and will enhance the accuracy of international investment statistics, providing Canadians with a clearer picture of the country's exposure to global financial risks.

International trade

International trade remains a cornerstone of Canada's economy, with exports accounting for nearly one-quarter of GDP. As global trade patterns evolve and new data needs emerge, Statistics Canada is committed to producing relevant, high-quality statistics that track the country's trade in goods and services. To optimize the accessibility and usability of Canada's rich set of trade statistics, the agency will also maintain and seek opportunities to enhance its suite of interactive tools and data products that inform policy makers, businesses and the public. This includes the monthly International Trade Explorer, which allows users to explore details of Canada's trade relationships, and the Canadian International Merchandise Trade Web Application, which provides detailed trade data by commodity.

Internal trade

Internal trade is an essential element of Canada's economy and plays an important role in mitigating the effects of international trade disruptions. In 2026-27, Statistics Canada will enhance its estimates of internal trade flows by commodity to better support the analysis of economic integration and supply-chain resilience.

  • Enhanced estimates of trade flows by commodity: To highlight the economic importance of internal trade in Canada, the agency will release expanded datasets on interprovincial and territorial trade flows, aligned with the SNA. These updated datasets—scheduled for release in 2026-27—will include origin and destination details and data for 2025.
  • Improved supply-chain data and metrics: In collaboration with Transport Canada, Statistics Canada will expand its production of supply-chain indicators, including data on commodity and trade flows, supply-chain price and volume indexes, and updates to the Canadian Transportation Economic Account. Analysis will assess how regulatory changes and disruptions to transportation corridors affect supply chains. This work will inform decisions related to multimodal transportation, transportation corridors and internal trade, strengthening supply-chain resilience across Canada.

Affordability

Affordability remains a top concern for many Canadians. In 2026-27, Statistics Canada will continue to deliver a broad range of data products and analytical tools that shed light on affordability and inflation, including the Consumer Price Index (CPI) Portal, the Food Price Data Hub and the Personal Inflation Calculator. To strengthen public understanding of inflation and consumer trends, the agency will continue to engage directly with Canadians through webinars, podcasts and technical briefings on topics such as changing consumption patterns, shrinkflation and food price measurement. These efforts will enhance statistical literacy and ensure that the CPI remains a trusted and transparent measure for households, businesses and governments.

New technologies

As new technologies reshape the global economy, Statistics Canada will provide data and analysis to help Canadians understand and adapt to this transformation. Through the relaunch of technology-related surveys and the introduction of new studies, the agency will examine AI adoption and readiness, as well as the broader impacts of emerging technologies on productivity, research and development, and intellectual property. These insights will inform policies and programs that enable Canadian businesses to innovate and remain competitive, while supporting digital access, safety, literacy and inclusion for Canadians.

Social statistics

Complementing its economic data, Statistics Canada's social statistics program provides vital insights into the lives of Canadians, covering areas such as health, education, employment, the population, travel and tourism. These data are essential for understanding how Canadian society is evolving and for supporting policies that enhance the well-being of individuals and communities. In 2026-27, the agency will continue to deliver a broad range of social statistics, including data on

  • employment
  • housing
  • financial resilience
  • immigration
  • crime and justice.

Employment

Canada's labour market is evolving in response to emerging technologies, demographic shifts and changing global trade dynamics. Statistics Canada will continue to generate timely, high-quality information to help governments, businesses and Canadians understand these trends and adapt effectively.

  • Ongoing survey programs: In 2026-27, the agency will continue to produce core labour market insights through the Labour Force Survey (LFS) and the Survey of Employment, Payrolls and Hours. Statistics Canada will enhance the availability of local labour market information by expanding the use of small area estimation (SAE) modelling techniques. SAE improves the accuracy of employment and unemployment estimates by combining survey data with employment insurance records and demographic projections in areas where LFS samples are too small to produce reliable data. Statistics Canada will also incorporate additional data sources, such as information from the census, to produce new indicators describing the job and worker characteristics of Canada's 20-million-strong labour force.
  • Linking education and labour datasets: Statistics Canada links labour statistics with administrative education data to deliver deeper insights without increasing response burden. These linked datasets allow policy makers and researchers to follow individuals' journeys through education, training and employment. They support longitudinal analysis to offer a clearer picture of student and apprenticeship pathways, transitions into the workforce, and long-term career outcomes. Statistics Canada will continue to leverage data linkages to help governments, educational institutions and learners better understand how education influences career trajectories—insights that are increasingly important in an economy shaped by technological and structural change.

Housing

There were more than 16.5 million households in Canada in 2024, and many continue to face both high demand and high prices for homes. Through programs such as the Canadian Housing Statistics Program, the Quarterly Rent Statistics program and the Canadian Income Survey, Statistics Canada provides timely, reliable information on housing affordability and the Canadians most affected by high housing costs. In 2026-27, the agency will expand its data production and analysis on housing conditions, market trends and factors influencing housing affordability. It will also deliver information on the outcomes of federal housing programs to support the development of effective, evidence-based housing policies and programs that respond to the needs of Canadians.

Financial resilience

Canadians continue to face financial pressures driven by persistent affordability challenges and a changing labour market. To help address these realities, Statistics Canada conducts surveys and research that shed light on poverty and financial security, supporting the development of policies that improve Canadians' financial well-being. In 2026-27, the agency will continue to provide timely data and analysis through initiatives such as the Dimensions of Poverty Hub, which offers accessible information on poverty and financial resilience.

  • Poverty: Statistics Canada will continue to produce the Market Basket Measure, which is used to set regional poverty thresholds based on the cost of essential goods and services for a family of four. Families with disposable income below these thresholds are considered to be living in poverty. In 2023, just over 10% of Canadians were classified as living in poverty. In collaboration with Employment and Social Development Canada, the agency will develop poverty estimates for smaller communities to provide a more detailed picture of poverty across Canada.
  • Financial security: In 2026-27, Statistics Canada will publish results from the 2025 Survey of Financial Security, offering an updated snapshot of the financial health of Canadian households. The agency will also assess the feasibility of using alternative data sources to measure savings in registered plans, such as Registered Retirement Savings Plans, First Home Savings Accounts and Tax-Free Savings Accounts, to provide deeper insights into Canadians' financial preparedness and resilience.

Immigration

Immigration data—together with birth and death records—are essential to producing accurate and timely population estimates. Immigrants represented nearly one-quarter of Canada's population in 2021, underscoring the importance of these data for planning and policy. Statistics Canada's immigration statistics inform government decisions on resource allocation, economic development and social integration. In 2026-27, the agency will continue to monitor immigration flows and population movements to provide accurate demographic estimates that support government programming and priorities such as affordable housing and community services.

  • Demographic estimates and projections: Statistics Canada will explore new data sources on immigration flows, refine estimation methods and produce more disaggregated data to strengthen and expand its population estimates. These modernization efforts will ensure that the agency continues to deliver the high-quality demographic estimates and projections that Canadians and all levels of government rely upon.
  • The Longitudinal Immigration Statistical Environment (LISE): The LISE connects data from the Longitudinal Immigration Database with health, education and Census of Population datasets, among others, to support in-depth analysis of the socioeconomic outcomes of newcomers to Canada. These linked datasets enable policy makers and researchers to better understand newcomers' experiences over time—from arrival and settlement to participation in education, work and community life. In 2026-27, Statistics Canada will expand access to the LISE through its network of research data centres. These data will inform immigration policies and programs and support planning for education, health care and other essential services.

Crime and justice

Statistics Canada produces data and analysis on multiple aspects of Canada's criminal justice system—from the number of adults and youth in custody to the outcomes of police-reported incidents. These statistics inform the development of policies and programs that promote public safety and an equitable justice system. In 2026-27, the agency will support initiatives that enhance the understanding of key justice issues, including bail practices and the reporting of non-criminal hate incidents (NCHIs).

  • Bail statistics: As part of a federal action plan to improve the availability of bail statistics, Statistics Canada will participate in a study to identify relevant bail metrics, assess data collection and reporting challenges, and propose solutions. This work will contribute to the development of a more comprehensive national picture of bail practices in Canada.
  • NCHIs: Statistics Canada will conduct a pilot study to assess the feasibility of tracking NCHIs in Canada. These incidents do not meet the legal definition of a criminal offence but monitoring them can help detect potential escalations in hostility and violence. Using reports made to police, the agency will explore the feasibility of producing NCHI data at the national level, supporting efforts to monitor community safety and cohesion.
Modern statistical methods

Underpinning Statistics Canada's efforts to maintain relevant economic and social statistics is its commitment to refining and updating its statistical methods to build the next generation of statistical programs and operations. In 2026-27, Statistics Canada will continue to investigate new methods to produce high-quality data in the face of declining response rates. The agency will also continue to leverage data linkages and alternative data to produce new insights without increasing the burden on respondents.

  • Adaptive collection design: Statistics Canada will continue evaluating ways to improve response rates for the LFS, one of the agency's core programs. Building on earlier initiatives, such as the "online-first" strategy (which promotes the use of online questionnaires for data collection) and the contact confirmation initiative (which establishes early contact with households in the sample), the agency will next explore adaptive collection design. This method will tailor collection activities to the respondent—based on information obtained during previous cycles of the LFS—to adjust the timing and frequency of follow-ups, among other strategies.
  • Gridded data initiative: Statistics Canada's gridded data initiative provides detailed, map-based information to support decision makers at all levels of government across Canada. This activity organizes community-level data into a national grid, integrating administrative sources—such as tax and immigration files—with estimates of GDP, employment and crime modelled for small geographic areas. These data can be further linked with physical features like infrastructure, watersheds, and urban or rural designations. In 2026-27, Statistics Canada will expand the initiative to cover new topics, which will allow governments to better understand how socioeconomic issues and environmental events impact local communities.
  • Enhanced Social Data Linkage Environment (SDLE): The SDLE expands the research potential of existing datasets—such as those related to health, justice, education and income—through the creation of linked analytical data files. Linking datasets allows for additional analytical insights without collecting more information from Canadians. In 2026-27, Statistics Canada will incorporate more health data into the SDLE, further supporting the development of effective health policies and programs.
An enabled workforce

In today's rapidly evolving landscape, equipping employees with the right tools, training and guidance is essential for organizational success. A well-supported workforce can adapt to new challenges, maintain productivity and drive innovation. Aligned with Statistics Canada's key priority to shape a healthy, diverse and skilled workforce to meet the current and future needs of Canadians, the agency will provide employees with the resources necessary to respond to government priorities by

  • promoting mental health through the delivery of wellness and awareness campaigns to foster a psychologically healthy and safe workplace
  • providing robust information technology (IT) infrastructure, advanced IT tools and strengthened cyber security
  • enhancing employee development so employees feel confident in leveraging new programming and analytical tools and methods
  • equipping managers to effectively guide and support employees as they advance their work and navigate change.

Through Statistics Canada's plans to achieve results, the agency will provide valuable insights for Canadians by responding to emerging issues, leveraging new methods and technologies, and supporting its employees. The agency will also work to embed Indigenous data priorities into the national statistical system, supporting the Government of Canada's commitment to reconciliation.

Gender-based Analysis Plus

Statistics Canada plays a vital role in supporting Gender-based Analysis Plus (GBA Plus) by providing detailed and reliable information on Canada's diverse demographic groups. The agency will continue to prioritize the availability of disaggregated statistics to inform decision makers through a wide range of data sources, including surveys and administrative data sources. A key objective is to ensure that these data and analyses are accessible to Canadians, researchers and policy makers. The Gender, Diversity and Inclusion Statistics (GDIS) Hub serves as a central access point for data, analyses and reference materials relevant to GBA Plus, including those that support the Gender Results Framework.

In 2026-27, the GDIS Hub will continue to be updated with the latest disaggregated statistical products available. In addition, Statistics Canada will continue to disaggregate key indicators within the Quality of Life Framework for Canada and the Canadian Indicator Framework for the Sustainable Development Goals (SDGs), further strengthening Canada's capacity to measure well-being and equity across population groups.

Planned resources to achieve results

Table 4: Planned resources to achieve results for statistical information

Table 4 provides a summary of the planned spending and full-time equivalents required to achieve results.

Table 4: Planned resources to achieve results for statistical information
Resource Planned
Spending 970,615,786
Full-time equivalents 6,692

Complete financial and human resources information for the Statistics Canada's program inventory is available on GC InfoBase.

Program inventory

Statistical information is supported by the following programs:

  • Economic and Environmental Statistics
  • Socio-economic Statistics
  • Censuses
  • Cost-recovered Statistical Services
  • Centres of Expertise.

Additional information related to the program inventory for statistical information is available on the Results section on GC InfoBase.

Internal services

Description

Internal services are the services that are provided within a department so that it can meet its corporate obligations and deliver its programs. There are 10 categories of internal services:

  • acquisition management services
  • communications services
  • financial management services
  • human resources management services
  • information management services
  • information technology services
  • legal services
  • material management services
  • management and oversight services
  • real property management services

Plans to achieve results

This section presents details on how the department plans to achieve results and meet targets for internal services.

Internal services are essential to Statistics Canada's success, providing the support, resources and infrastructure employees need to work effectively and efficiently. By managing professional development, technology and internal systems, the agency can ensure that it operates smoothly, advances its key priorities and delivers on its mandate.

In 2026-27, the agency will continue to

  • build a healthy, diverse and inclusive workforce grounded in values and ethics
  • invest in capacity building across all areas of the agency
  • strengthen its digital readiness through modern tools, systems and processes
  • conduct internal audit and evaluation exercises.
Building a healthy, diverse and inclusive workforce grounded in values and ethics

Statistics Canada's greatest strength is its people, and one of the agency's key priorities is to shape a healthy, diverse and skilled workforce to meet the current and future needs of Canadians. In 2026-27, the agency will continue to invest in employee well-being through training, engagement and awareness initiatives. Statistics Canada will also enhance the implementation of its strengthened Code of Conduct, reinforcing accountability, integrity and trust across the agency.

To advance reconciliation, accessibility, equity, diversity and inclusion, Statistics Canada will embed accessibility and inclusive design principles into its digital platforms and implement targeted initiatives that promote a healthy, respectful and diverse workplace.

Investing in capacity building across all areas of the agency

Training is essential to developing employees' skills, building their confidence and helping them to adapt to a changing work environment. In 2026-27, Statistics Canada will continue to take a multi-faceted approach to capacity building, focusing on

  • developing skills to support the adoption of modern, open-source technologies and AI
  • strengthening analytical expertise, management competencies and interpersonal skills
  • enhancing executives' skills in all areas, from AI upskilling and strengthening leadership competencies, to promoting their change leadership capacity, allowing them to better support employees through all aspects of their work.

Through these efforts, Statistics Canada will ensure its workforce remains agile, capable and equipped to meet the evolving data needs of Canadians, contributing to its key priority to shape a healthy, diverse and skilled workforce.

Strengthening digital readiness through modern tools, systems and processes

In 2026-27, Statistics Canada will leverage new digital tools and infrastructure to become a more agile and innovative agency, advancing its key priorities to

  • build the next generation of statistical programs and operations
  • build and adopt a complete enabling infrastructure.

A centralized data repository will make it easier for employees to find and use data, supporting the production of high-quality, timely statistics for Canadians. New functionality, such as self-serve platforms, will also empower employees to access the IT systems and resources they need, when they need them. The agency will continue to strengthen its cyber security posture to ensure the secure and successful delivery of all of its statistical programs, including the 2026 censuses. These initiatives align with the agency's Target Enterprise Architecture—Statistics Canada's long-term digital roadmap that guides the future development of its systems, processes and infrastructure.

Conducting internal audit and evaluation exercises

In 2026-27, Statistics Canada's Audit and Evaluation Branch will conduct audits, evaluations and advisory engagements to provide assurance and generate insight on the effectiveness of the agency's management practices. These activities will assess the appropriateness of decision making, governance structures and processes that enable employees to operate efficiently within a robust management system. In addition, user-centric evaluations will examine the relevance and performance of programs, offering evidence-based insight into how effectively user needs are considered and met in program design and delivery.

Planned resources to achieve results

Table 5: Planned resources to achieve results for internal services this year

Table 5 provides a summary of the planned spending and full-time equivalents required to achieve results.

Table 5: Planned resources to achieve results for internal services this year
Resource Planned
Spending 85,411,943
Full-time equivalents 601

Complete financial and human resources information for the Statistics Canada's program inventory is available on GC InfoBase.

Planning for contracts awarded to Indigenous businesses

Statistics Canada is committed to meeting targets of awarding at least 5% of the total value of contracts to Indigenous businesses each year.

Statistics Canada incorporates Indigenous businesses into its procurement strategy. This includes using voluntary and conditional Procurement Strategy for Indigenous Business set-asides when qualified Indigenous suppliers are identified in the market, raising awareness about the initiative with each requisition, and enhancing internal expertise through training sessions hosted by Indigenous Services Canada. The agency's forecasted targets were developed through consultation with key internal stakeholders, as well as an analysis of historical procurement data to identify commodities previously sourced by Indigenous businesses.

Statistics Canada's deputy head has approved an exception for software renewal contracts and specific software needs to support business objectives, including the Census of Population. While there may be an opportunity to open the software solution to competitive bidding when the contract expires, maintenance and support for software are limited by intellectual property and interoperability constraints. As a result, the mitigation strategy to reduce recurrence focuses on maximizing capacity with Indigenous businesses.

Statistics Canada will track progress toward meeting the 5% target and will adjust its procurement strategies as needed.

Table 6: Percentage of contracts planned and awarded to Indigenous businesses

Table 6 presents the current, actual results with forecasted and planned results for the total percentage of contracts the department awarded to Indigenous businesses.

Table 6: Percentage of contracts planned and awarded to Indigenous businesses
5% Reporting Field 2024-25 Actual Result 2025-26 Forecasted Result 2026-27 Planned Result
Total percentage of contracts with Indigenous businesses 11.21% 5.71% 5.52%

Department-wide considerations

Related government priorities

United Nations 2030 Agenda for Sustainable Development and the UN Sustainable Development Goals

Statistics Canada contributes to Canada's commitment to the UN 2030 Agenda for Sustainable Development by providing the data needed to track progress toward the SDGs. In 2026-27, Statistics Canada will explore ways to expand the availability of disaggregated data in its national SDG reporting. The agency will conduct analytical studies to better understand SDG progress across different subpopulations, examine the interconnections among goals and assess how the SDG framework aligns with other national statistical frameworks used by the Government of Canada.

As a member of the UN Inter-agency and Expert Group on SDG Indicators, the agency will continue to support other countries in implementing the Global Indicator Framework and addressing data challenges related to SDG measurement. Statistics Canada also serves on the UN Economic Commission for Europe task team for measuring progress, where it is co-leading the development of a new methodology for assessing SDG progress. This methodology will be featured in the second addendum to the Conference of European Statisticians Road Map on Statistics for SDGs.

More information on Statistics Canada's contributions to Canada's Federal Implementation Plan on the 2030 Agenda and the Federal Sustainable Development Strategy can be found in our Departmental Sustainable Development Strategy.

Artificial intelligence

Emerging technologies such as AI are central to addressing many of the challenges faced by national statistical organizations and will enable Statistics Canada to build the next generation of statistical programs and operations. These technologies will be implemented in line with Statistics Canada's long-standing commitments to privacy, transparency and responsible data use. The agency will continue to build on its adoption of AI by developing and supporting scalable, secure and sustainable digital infrastructure.

AI will be applied to enhance the search function on the Statistics Canada website, helping Canadians find the information they need more easily. AI chatbots will also be used to support services such as the census and general inquiries, improving responsiveness and reducing wait times for users. Aligned with the objectives of the Statistics Canada AI strategy, by the end of 2026-27, agency staff will

  • integrate AI assistants into their daily work to increase efficiency
  • use AI-enabled automated coding for standard classifications such as NAICS and NAPCS
  • expand the use of AI for data extraction from unstructured sources such as satellite images and PDF files.

Key risks

To accomplish its objectives, Statistics Canada must develop strategies to address risks that could impact its ability to achieve its mandate. The agency uses an integrated risk management approach to identify, assess and respond to risks, embedding these considerations into its decision-making process. The following risks are the most relevant to achieving the agency's planned results in 2026-27:

  • Public trust: The agency may not be perceived as a trusted national statistical office. To mitigate this, Statistics Canada will communicate proactively and transparently with Canadians to reinforce its role as an authoritative source of high-quality statistical information.
  • Relevance: Statistics Canada information and services may be seen as less relevant if they do not meet users' evolving needs. To address this risk, the agency will ensure it is viewed as a relevant, authoritative source of information by Canadians, even as emerging tools become more widespread. The agency will align with international standards, adapt to changes in privacy legislation and position itself to offer a unique value proposition. The agency will also strengthen engagement with policy makers to ensure alignment with policy shifts and regulatory updates.
  • Organizational resilience: Challenges may arise in delivering the agency's mandate because of workforce attrition or outdated technology, infrastructure and business processes. In response, the agency will promote training and employee wellness initiatives to close knowledge gaps and improve employee retention. The agency will also invest in next-generation statistical infrastructure.
  • Financial capacity: Reduced budgets may hinder Statistics Canada's ability to effectively fulfill its role. To address this, the agency will align and prioritize resources to safeguard the delivery of its core statistical programs.

Planned spending and human resources

This section provides an overview of Statistics Canada's planned spending and human resources for the next three fiscal years and of planned spending for 2026-27 with actual spending from previous years.

Spending

This section presents an overview of the department's planned expenditures from 2023-24 to 2028-29.

Budgetary performance summary

Table 7: Three-year spending summary for core responsibilities and internal services (dollars)

Table 7 presents Statistics Canada's spending over the past three years to carry out its core responsibilities and for internal services. Amounts for the 2025–26 fiscal year are forecasted based on spending to date.

Table 7: Three-year spending summary for core responsibilities and internal services (dollars)
Core responsibilities and Internal services 2023-2024 Actual Expenditures 2024-25 Actual Expenditures 2025-2026 Forecast Spending
Statistical Information 784,946,138 763,566,349 810,405,025
Internal services 88,762,478 99,113,781 94,445,823
Total gross 873,708,616 862,680,130 904,850,848
Respendable revenue -132,999,612 -128,407,475 -110,075,609
Total net 740,709,004 734,272,655 794,775,239

More financial information from previous years is available on the Finances section of GC Infobase.

Table 8: Planned three-year spending on core responsibilities and internal services (dollars)

Table 8 presents Statistics Canada's planned spending over the next three years by core responsibilities and for internal services.

Table 8: Planned three-year spending on core responsibilities and internal services (dollars)
Core responsibilities and Internal services 2026-27 Planned Spending 2027-28 Planned Spending 2028-29 Planned Spending
Statistical Information 1,090,488,458 678,005,501 577,720,384
Internal services 85,539,271 81,968,939 75,888,781
Total gross 1,176,027,729 759,974,440 653,609,165
Respendable revenue -120,000,000 -120,000,000 -120,000,000
Total net 1,056,027,729 639,974,440 533,609,165

More detailed financial information on planned spending is available on the Finances section of GC Infobase.

Table 9: Budgetary gross and net planned spending summary (dollars)

Table 9 reconciles gross planned spending with net spending for 2026-27.

Table 9: Budgetary gross and net planned spending summary (dollars)
Core responsibilities and Internal services 2026-27 Gross planned spending (dollars) 2026-27 Planned revenues netted against spending (dollars) 2026-27 Planned net spending (authorities used)
Statistical Information 1,090,488,458 -119,872,672 970,615,786
Internal services 85,539,271 -127,328 85,411,943
Total 1,176,027,729 -120,000,000 1,056,027,729

Information on the alignment of Statistics Canada's spending with Government of Canada's spending and activities is available on the Finances section of GC Infobase.

Funding

This section provides an overview of the department's voted and statutory funding for its core responsibilities and for internal services. For further information on funding authorities, consult the Government of Canada budgets and expenditures.

Graph 1: Approved funding (statutory and voted) over a six-year period

Graph 1 summarizes the department's approved voted and statutory funding from 2023-24 to 2028-29.

Graph 1: Approved funding (statutory and voted) over a six-year period

For further information on Statistics Canada's departmental appropriations, consult the 2026-27 Main Estimates.

Future-oriented condensed statement of operations

The future-oriented condensed statement of operations provides an overview of Statistics Canada's operations for 2025-26 to 2026-27.

Table 10: Future-oriented condensed statement of operations for the year ended March 31, 2027 (dollars)

Table 10 summarizes the expenses and revenues which net to the cost of operations before government funding and transfers for 2025-26 to 2026-27. The forecast and planned amounts in this statement of operations were prepared on an accrual basis. The forecast and planned amounts presented in other sections of the Departmental Plan were prepared on an expenditure basis. Amounts may therefore differ.

Table 10: Future-oriented condensed statement of operations for the year ended March 31, 2027 (dollars)
Financial information 2025-26 Forecast results 2026-27 Planned results Difference (Planned results minus forecasted)
Total expenses 1,018,814,250 1,352,602,923 333,788,673
Total revenues 110,075,609 120,000,000 9,924,391
Net cost of operations before government funding and transfers 908,738,641 1,232,602,923 323,864,282

A more detailed Future-Oriented Statement of Operations and associated Notes for 2026-27, including a reconciliation of the net cost of operations with the requested authorities, is available on Statistics Canada's website.

Human resources

This section presents an overview of the department's actual and planned human resources from 2023-24 to 2028-29.

Table 11: Actual human resources for core responsibilities and internal services

Table 11 shows a summary of human resources, in full-time equivalents, for Statistics Canada's core responsibilities and for its internal services for the previous three fiscal years. Human resources for the 2025–26 fiscal year are forecasted based on year to date.

Table 11: Actual human resources for core responsibilities and internal services
Core responsibilities and internal services 2023-24 Actual full-time equivalents 2024-25 Actual full-time equivalents 2025-26 Forecasted full-time equivalents
Statistical Information 6,291 6,075 6,350
Internal services 619 685 664
Total gross 6,910 6,760 7,014
Respendable revenue -1,373 -1,267 -1,087
Total net 5,537 5,493 5,927

Table 12: Human resources planning summary for core responsibilities and internal services

Table 12 shows information on human resources, in full-time equivalents, for each of Statistics Canada's core responsibilities and for its internal services planned for the next three years.

Table 12: Human resources planning summary for core responsibilities and internal services
Core responsibilities and internal services 2026-27 Planned full-time equivalents 2027-28 Planned full-time equivalents 2028-29 Planned full-time equivalents
Statistical Information 6,692 5,756 4,984
Internal services 601 576 532
Total gross 7,293 6,332 5,516
Respendable revenue -1,164 -1,164 -1,164
Total net 6,129 5,168 4,352

Federal tax expenditures

Statistics Canada's Departmental Plan does not include information on tax expenditures.

The tax system can be used to achieve public policy objectives through the application of special measures such as low tax rates, exemptions, deductions, deferrals and credits. The Department of Finance Canada publishes cost estimates and projections for these measures each year in the Report on Federal Tax Expenditures.

This report also provides detailed background information on tax expenditures, including descriptions, objectives, historical information and references to related federal spending programs as well as evaluations and GBA Plus of tax expenditures.

Corporate information

Definitions

2026 Monthly Energy Transportation and Storage Survey

This primary format of this collection instrument is an Excel-based questionnaire. For the cells labeled "Products", "Shipping region", "Receiving region" and “Storage region”, there is a limited number of valid responses that are provided via dropdown in the primary document. Please see the section "Lists of valid responses" at the end of the document for the valid responses.

This document is confidential when completed.

Coverage Statement:

If necessary, please make address label corrections in the boxes below.

  • Legal name
  • Business name
  • Title of contact
  • First name of contact
  • Last name of contact
  • Address (number and street)
  • City
  • Province/territory or state
  • Country
  • Postal code/ zip code
  • Language preference
    • English
    • French

This information is collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19.

Completion of this questionnaire is a legal requirement under this act.

Survey purpose

To obtain information on the supply of and demand for energy in Canada. This information serves as an important indicator of Canadian economic performance, is used by all levels of government in establishing informed policies in the energy area and, in the case of public utilities, is used by governmental agencies to fulfil their regulatory responsibilities. The private sector likewise uses this information in the corporate decision-making process. Your information may also be used by Statistics Canada for other statistical and research purposes.

Security of emails and faxes

Statistics Canada advises you that there could be a risk of disclosure during facsimile or e-mail. However, upon receipt, Statistics Canada will provide the guaranteed level of protection afforded to all information collected under the authority of the Statistics Act.

Confidentiality

Statistics Canada is prohibited by law from releasing any information it collects which 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 and research purposes.

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.

Information on data sharing agreements and record linkage can be found on the last page of this questionnaire.

Reporting instructions

Please refer to the reporting instruction.

Inventories (cubic metres)

Reporting period:

Instructions:

  1. Pipelines: Include inventories held in tanks, terminals and lines.
    Marine vessels: Include inventories held on vessels and at terminals.
  2. For each product (see Product List tab) and region, please report opening and closing inventories for the month.
    Report opening inventories on the 1st day of the reporting month (start of day).
    Report closing inventories on the last day of the reporting month (end of day).
    Note: Opening inventories should equal previous month's closing inventories.
  3. For product definitions and detailed survey instructions please consult the Reporting Instructions.

Comments: Indicate any changes or events that affected reported inventories for this reporting period.

Inventories (cubic metres)
Products Storage region Inventories
Start of Month
(in cubic metres)
Inventories
End of Month
(in cubic metres)
       

Movements (cubic metres)

Reporting period:

Instructions:

  1. Please report all movements (volume) by product type moved from shipping region to receiving region.
  2. Report each volume based on the arrival of the product at the receiving region for the specified reporting period.
  3. Exclude intermediate movements if operating in more than two provinces.
    Pipeline example: A shipment originating in US, passing through Manitoba and Saskatchewan, and terminating in Alberta, is reported as a movement from United States to Alberta only.
    Marine vessel example: A shipment originating in US, passing through Newfoundland and Quebec, and terminating in Ontario, is reported as a movement from United States to Ontario only.
  4. For product definitions and detailed survey instructions please consult the Reporting Instructions.

Comments: Indicate any changes or events that affected reported movements for this reporting period.

Movements (cubic metres)
Products Shipping region Receiving region Volume
(in cubic metres)
       

Lists of valid responses

Products

  • Asphalt
  • Aviation gasoline, blending components
  • Aviation gasoline, finished
  • Biodiesel (FAME)
  • Crude oil, bitumen
  • Crude oil, heavy crude oil
  • Crude oil, lease condensate
  • Crude oil, light crude oil
  • Crude oil, synthetic crude oil
  • Diesel fuel oil
  • Fuel ethanol
  • Hydrocarbon gas liquids (mixed)
  • Hydrocarbon gas liquids, butanes
  • Hydrocarbon gas liquids, ethane
  • Hydrocarbon gas liquids, pentanes plus
  • Hydrocarbon gas liquids, propane
  • Hydrogen
  • Jet fuel, Kerosene-type
  • Kerosene
  • Light fuel oil (No. 2 and No. 3 heating fuel oils)
  • Lubricants
  • Miscellaneous products
  • Motor gasoline, blending components
  • Motor gasoline, finished
  • Petroleum coke
  • Petrochemical feedstocks
  • Renewable diesel (HDRD/HVO)
  • Residual fuel oil\Heavy fuel oil (No. 4, No.5 and No. 6 fuel oils)
  • Still gas
  • Special naphthas (solvents)
  • Unfinished oils (excluding synthetic crude oil)
  • Wax

Region

  • Newfoundland and Labrador
  • Prince Edward Island
  • Nova Scotia
  • New Brunswick
  • Quebec
  • Ontario
  • Manitoba
  • Saskatchewan
  • Alberta
  • British Columbia
  • Yukon
  • Northwest Territories
  • Nunavut
  • United States
  • Foreign, non U.S.

Wholesale Trade Survey (monthly): CVs for total sales by geography - October 2025

Wholesale Trade Survey (monthly): CVs for total sales by geography - October 2025
Geography Month
202410 202411 202412 202501 202502 202503 202504 202505 202506 202507 202508 202509 202510
percentage
Canada 1.2 1.3 1.2 1.3 1.5 0.9 1.2 0.9 0.4 0.4 0.4 0.5 0.5
Newfoundland and Labrador 1.3 1.5 1.1 1.4 0.8 0.7 1.8 0.3 0.3 0.3 0.3 0.3 0.7
Prince Edward Island 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Nova Scotia 6.2 9.5 12.0 7.0 3.8 3.8 7.1 10.7 2.8 2.8 1.6 1.2 1.4
New Brunswick 3.4 2.7 2.3 3.3 1.8 1.4 4.3 1.5 1.0 0.8 1.0 0.7 0.7
Quebec 4.3 4.8 4.4 4.5 5.5 3.7 4.3 3.1 1.3 1.8 1.3 2.0 1.6
Ontario 2.2 2.2 2.4 2.7 3.2 1.7 2.3 1.6 0.7 0.8 0.8 0.9 1.0
Manitoba 2.9 1.9 2.3 0.9 1.1 1.3 1.3 1.2 0.8 0.8 1.1 0.4 0.3
Saskatchewan 1.5 1.0 1.4 1.6 0.7 0.8 1.6  0.5 0.4 0.9 0.6 1.0 0.3
Alberta 1.3 1.9 1.2 1.4 1.2 0.8 0.6 0.7 0.4 0.5 0.5 0.5 0.5
British Columbia 3.1 2.7 2.2 2.6 2.9 1.9 1.8 2.2 0.8 1.1 1.6 1.8 2.7
Yukon Territory 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Northwest Territories 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Nunavut 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

Monthly Survey of Manufacturing: National Level CVs by Characteristic - October 2025

National Level CVs by Characteristic, October 2025
Table summary
This table displays the results of Monthly Survey of Manufacturing: National Level CVs by Characteristic. The information is grouped by Month (appearing as row headers), and Sales of goods manufactured, Raw materials and components inventories, Goods / work in process inventories, Finished goods manufactured inventories and Unfilled Orders, calculated in percentage (appearing as column headers).
Month Sales of goods manufactured Raw materials and components inventories Goods / work in process inventories Finished goods manufactured inventories Unfilled Orders
%
October 2024 0.76 1.11 1.87 1.25 1.52
November 2024 0.70 1.11 1.81 1.25 1.64
December 2024 0.63 1.06 1.89 1.26 1.45
January 2025 0.67 1.11 1.71 1.25 1.45
February 2025 0.72 1.14 1.85 1.33 1.46
March 2025 0.72 1.18 1.77 1.38 1.49
April 2025 0.75 1.16 1.78 1.41 1.52
May 2025 0.78 1.20 1.87 1.45 1.51
June 2025 0.81 1.19 1.77 1.43 1.43
July 2025 0.74 1.21 1.82 1.41 1.42
August 2025 0.77 1.23 1.84 1.37 1.39
September 2025 0.78 1.30 1.91 1.47 1.32
October 2025 0.75 1.22 1.85 1.44 1.38

User guide for data processing, quality and limitations - 2023

Introduction

The Canadian Housing Statistics Program (CHSP) aims to provide detailed insights on residential properties in Canada and their owners. However, certain estimates are subject to limitations or may not be available for some jurisdictions or variable types because of differences in data sources, regional coverage and processing steps.

The purpose of this document is to help the reader interpret and use data from the CHSP. It outlines key data quality considerations and specific limitations affecting the availability and comparability of estimates across some domains.

To consult changes that are specific to a given reference year, please refer to the Summary of changes - Surveys and statistical programs - Canadian Housing Statistics Program (CHSP).

Data processing

  • Random rounding is applied to all raw counts to protect the confidentiality of owners in the totals. Totals and subtotals may not equal the sum of components.
  • Percentages are calculated from rounded counts.
  • Averages and medians are calculated using only non-missing, non-null, and values greater than zero for the variables of interest (for example, assessment value, total living area and total income).
  • Assessment value per square foot refers to the assessment value of a property divided by its total living area.
  • Some property or owner characteristics are in the "unspecified" category either because the corresponding information was not received from the data provider or because there is no identifiable link connecting the property to the owner information. Therefore, users must take this limitation into account when interpreting the data.
  • Previous reference period estimates are subject to revision.
  • Each year, geocoding is updated based on the best available location information, which may result in slight variations in the counts of census subdivisions from one year to the next.

Universe of property tables

The tables 46-10-0093, 46-10-0094 and 46-10-0095 are restricted to residential properties in Canada. The geographic location of a property is determined by its physical address. Mixed-use properties (e.g., residential and commercial) are included, but the property characteristics reported in the tables reflect only the residential portion of mixed-use properties. The universe covers residential properties across Canada. However, it does not cover residential properties located on reserves or collective dwellings. It also excludes commercial, industrial, and institutional properties.

Universe of owner tables

The tables 46-10-0030 and 46-10-0069 include all residential property owners at the provincial level. However, table 46-10-0030 also provides data on buyers, who are property owners who acquired a property, either on or off the market, between January 1 and December 31 of the previous reference year.

The tables 46-10-009646-10-0097 and 46-10-0098 are restricted to resident owners who are persons occupying their residential property. An owner's geographic location is determined by the location of the occupied property.

In the case of Nunavut, where information on owner-occupied properties is unavailable, the universe includes all resident owners who are persons without restrictions on owner-occupancy. For owners with multiple properties, the geographic location and property characteristics are based on the residential property with the highest assessment value.

Universe of buyer table

The table 46-10-0099 is restricted to resident buyers who are persons who filed their T1 tax return form in the previous year and purchased a property in a market sale.

Data availability and limitations

Newfoundland and Labrador

  • Estimates are not available at the provincial level and for the category "outside of census metropolitan areas (CMAs) and census agglomerations (CAs)."
  • Estimates by property type are available only for the census subdivision of St. John's.

Prince Edward Island

  • Estimates of total living area and assessment value per square foot are not available.

New Brunswick

  • Estimates of total living area and assessment value per square foot for condominium apartments are not available.
  • The "total, all property types" category excludes condominium apartments; therefore, users should consider this limitation when interpreting estimates of total living area and assessment value per square foot for this group.

Manitoba

  • Estimates by property use of residential property are suppressed in many areas due to lower linkage quality.
  • The estimate of the number of owner-occupied residential property is underestimated due to the quality of the linkage.

Saskatchewan

  • Provincial estimates exclude the census subdivision of Prince Albert.
  • Owner-related variables are not available because of missing owners' information.

Alberta

  • Estimates by property use and residency status of residential property are suppressed due to low data quality.
  • The number of resident owners who are persons occupying a residential property, which represent the universe of the owner tables, is underestimated due to the low linkage quality. Therefore, the number of owners should be interpreted with caution.

Yukon

  • Estimates by property use and residency status of residential property are available only for the census subdivision (CSD) of Whitehorse.
  • The number of resident owners who are persons occupying a residential property, which represent the universe of the owner tables, is underestimated due to the low linkage quality outside the CSD of Whitehorse. Therefore, the number of owners outside this CSD should be interpreted with caution.

Northwest Territories

  • Data are available only for the CA of Yellowknife.
  • Estimates by property type and period of construction are not available.
  • Estimates of total living area and assessment value per square foot are not available.

Nunavut

  • Estimates by property type, period of construction and property use are not available.
  • Estimates of total living area and assessment value per square foot are not available.

Variable-specific limitations

Property use of residential property

  • The property use indicator is suppressed outside CMAs and CAs due to low linkage quality. It may also be removed in certain regions where its reliability has been deemed insufficient.
  • For the most recent period of construction, the property use indicator is less precise. Consequently, these estimates should be used with caution.

Owner-occupancy

  • The quality of the linkage is unreliable outside CMAs and CAs, leading to an underestimation of the number of resident owners who are persons occupying a residential property, which represents the universe of the owner tables (except for Nunavut). Therefore, Census Subdivisions (CSDs) located outside CMAs and CAs are not included in the owner tables. Although aggregate estimates for the category "outside of census metropolitan areas (CMAs) and census agglomerations (CAs)" are still provided, the number of owners in this category should be interpreted with caution.

Assessment value

  • Because provinces and territories have varying assessment periods and assessment roll durations from one region to another, it is not possible to make precise comparisons between the assessment values of properties located in different provinces or territories. To obtain the reference years for property assessment values, please refer to the document linked on the CHSP web page: Reference years of the property stock and assessment values, by province and territory.

Number of residential properties owned

  • The number of properties owned by the property owner is limited to residential properties that are within a given province.

Sale Price

  • Estimates of property sale prices are limited to transactions conducted on the market and are available only for residents.

Number of Buyers

  • Estimates of the number of buyers are restricted to residents only.

Composite quality indicator

The composite quality indicators (CQI) combine multiple individual quality indicators (QIs) representing the quality of various CHSP data processing steps (for example, coding, geocoding, linkage, imputation). The CQIs are available for certain tables, such as the following:

Table 46-10-0093-01 Residential properties by characteristics, property use and ownership type

Table 46-10-0094-01 Residential properties by characteristics and residency status.

The CQI letter grades are defined as follows:

A – Excellent: All domain variables and the variable of interest are of excellent quality.

B – Very good: All domain variables and the variable of interest are of very good to excellent quality.

C – Good: The quality of some of the domain variables or the variable of interest is considered good, while all the other variables are of very good to excellent quality.

D – Acceptable: The quality of some of the domain variables or the variable of interest is considered acceptable, while all the other variables are of good to excellent quality.

E – Use with caution: The quality of several domain variables or the variable of interest is considered poor.

F – Too unreliable to be published

Retail Commodity Survey: CVs for Total Sales (September 2025)

Retail Commodity Survey: CVs for Total Sales (September 2025)
Table summary
This table displays the results of Retail Commodity Survey: CVs for Total Sales (September 2025). The information is grouped by NAPCS-CANADA (appearing as row headers), and Month (appearing as column headers).
NAPCS-CANADA Month
202506 202507 202508 202509
Total commodities, retail trade commissions and miscellaneous services 0.54 0.59 0.59 0.51
Retail Services (except commissions) [561] 0.53 0.59 0.59 0.51
Food and beverages at retail [56111] 0.33 0.35 0.34 0.30
Cannabis products, at retail [56113] 0.00 0.00 0.00 0.00
Clothing at retail [56121] 0.55 0.65 0.74 1.17
Jewellery and watches, luggage and briefcases, at retail [56123] 2.12 1.98 2.35 2.42
Footwear at retail [56124] 1.13 1.09 1.21 1.11
Home furniture, furnishings, housewares, appliances and electronics, at retail [56131] 0.79 0.74 0.72 0.76
Sporting and leisure products (except publications, audio and video recordings, and game software), at retail [56141] 2.16 3.03 2.97 3.36
Publications at retail [56142] 8.65 8.46 8.67 9.62
Audio and video recordings, and game software, at retail [56143] 3.05 4.04 5.66 5.71
Motor vehicles at retail [56151] 1.84 1.97 2.23 1.80
Recreational vehicles at retail [56152] 3.15 3.61 2.90 3.25
Motor vehicle parts, accessories and supplies, at retail [56153] 1.35 1.27 1.68 1.46
Automotive and household fuels, at retail [56161] 1.37 1.36 1.46 1.36
Home health products at retail [56171] 2.68 3.22 2.62 2.39
Infant care, personal and beauty products, at retail [56172] 2.57 2.61 2.58 2.40
Hardware, tools, renovation and lawn and garden products, at retail [56181] 2.04 1.94 1.37 1.34
Miscellaneous products at retail [56191] 3.14 2.67 2.27 2.49
Retail trade commissions [562] 1.63 1.57 1.67 1.52

Federal Patents, Licences and Royalties Survey 2024-2025

Information for respondents

This information is collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S-19. Completion of this questionnaire is a legal requirement under this act.

Survey Objective

This survey collects information that is necessary for monitoring federal patent, royalty and licensing related activities in Canada, and to support the development of science and technology policy. The survey is conducted by Statistics Canada, on behalf of Innovation, Science and Economic Development Canada (ISED). The data collected will be used by federal science policy analysts. Your information may also be used by Statistics Canada for other statistical and research purposes.

Confidentiality

Your answers are confidential. Statistics Canada is prohibited by law from releasing any information it collects which 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.

Security of emails and faxes

Statistics Canada advises you that there could be a risk of disclosure during the transmission of information by facsimile or e-mail. However, upon receipt, Statistics Canada will provide the guaranteed level of protection afforded all information collected under the authority of the Statistics Act.

Data sharing agreement

To reduce response burden and to ensure more uniform statistics, Statistics Canada has entered into an agreement under Section 12 of the Statistics Act with Innovation, Science and Economic Development Canada (ISED) for sharing information from this survey. ISED has agreed to keep the information confidential and use it only for statistical purposes. Under Section 12, you may refuse to share your information with ISED by writing a letter of objection to the Chief Statistician and returning it with the completed questionnaire. You may also contact us by email at infostats@statcan.gc.ca or by fax at 1-514-496-4879.

Record linkages

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

Authorization

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

  • Yes
  • No

Department or agency:

Name of person authorized to sign:

Signature:

Program Official position:

E-mail address:

Telephone number:

Extension:

Section 1 - Identifying intellectual property (IP)

1.1 – Reports and disclosures

Please indicate the number of new instances of Intellectual Property reported or disclosed during the reference year, April 1, 2024, to March 31, 2025. The types of Intellectual Property are defined in the Respondent Guide, Section 4.1.

Intellectual Property: Number of new IP reports and disclosures

  • Inventions
  • Copyrightable IP
  • Trademarks
  • New plant varieties
  • Know-how
  • Other (please specify):

1.2 - Reports and disclosures resulting in protection activity

Please indicate how many instances of Intellectual Property (not necessarily new) resulted in protection activity by this organization during the reference year, April 1, 2024, to March 31, 2025. The types of Intellectual Property are defined in the Respondent Guide, Section 4.1.

Intellectual Property: Number of IP reports and disclosures resulting in protection activity

  • Inventions
  • Copyrightable IP
  • Trademarks
  • New plant varieties
  • Other (please specify):

Section 2 - Patents

2.1 – Patent applications filed and issued

Please report the number of patent applications filed and issued during the reference year, April 1, 2024, to March 31, 2025.

Patent activity: Count

  • Total patent applications filed
  • Total patents issued

2.2 – Patent applications held or pending

Please report the number of patent applications held and pending at the end of the reference year, as of March 31, 2025.

Patent activity: Count

  • Total patents held (including patents issued)
  • Total patents pending

Section 3 - Licences

3.1 – New and active licences

Please report the number of new licences executed during the reference year, April 1, 2024, to March 31, 2025.

Please report the number of active licences at the end of the reference year, as of March 31, 2025.

Include Canadian and foreign licences. Please see the Respondent Guide, Section 4.3.1, for detailed definitions.

New licences executed: Count:

  • Royalty-bearing
  • Royalty-free
  • Total

Active licences: Count

  • Royalty-bearing
  • Royalty-free
  • Total

3.2 – Income received from licensed IP

Please specify the total income received from licensed IP during the reference year, April 1, 2024, to March 31, 2025.

Report amounts in thousands of Canadian dollars and in whole numbers only (no decimals).

Income received from  licensed IP: Total CAD$ (in thousands of Canadian dollars)

  • Income received from  licensed IP

Section 4 - Respondent guide

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

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

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

This guide may provide specific examples to further clarify broadly defined categories or terms. Sometimes example lists are misinterpreted as inclusion lists. If you are unsure of any definitions, please reach out to your StatCan contact during the collection period. Please do not report for joint IP to avoid multi-counting issues.

Report all dollar amounts in thousands of Canadian dollars.

Notes on survey questions

4.1. Notes for Section 1 - Identifying Intellectual Property (IP)

  • Invention: Includes any new and useful art, process, machine, manufacture or composition of matter, or any new and useful improvement in any art, process, machine, manufacture or composition of matter (Public Servants Inventions Act. R.S., c. P-31, s. 1.). Some inventions are patentable in some jurisdictions but not in others: these include novel genetically-engineered life forms, new microbial life forms, methods of medical treatment and computer software.
  • Copyrightable IP: Copyright protection applies to all original literary, dramatic, musical and artistic works provided the conditions set out in section 5 of the Copyright Act have been met. Each of these general categories covers a wide range of creations. Examples are provided below:
    • literary works such as books, pamphlets, computer programs, software and other works consisting of text
    • dramatic works such as motion picture films, plays, screenplays and scripts
    • musical works such as musical compositions with or without words
    • artistic works such as paintings, drawings, maps, photographs, sculptures and plans

We understand that it is hard to count all copyrightable IP. For Section 1.1, please provide the number of copyrightable IP reported or disclosed to your departmental IP office by employees of your department during the reference period. For Section 1.2, please report any copyrights registered with the Canadian Intellectual Property Office (CIPO) during the reference period. 

For survey purposes, please exclude journal articles from your reporting.

  • Trademarks: These are words, symbols, designs, or combinations thereof used to distinguish your wares or services from someone else's. Trademarks are registered with the Canadian Intellectual Property Office.
  • New plant varieties: Certain plant varieties that are new, different, uniform and stable may be protected by registration with the Plant Breeders' Rights Office, Canadian Food Inspection Agency.
  • Know-how: This is practical knowledge, technique or expertise. For example, certain information is codified in the patent application, but a researcher’s know-how could be valuable for commercial optimization of the product. Know-how can be licensed independently of the terms of a related patent.

Notes for Section 1.2: Please report the number of IP resulting in protection activity, not the number of times protection activity occurred. For example, if one invention has multiple patents, this should be counted once since there is only one IP involved. Know-how is not applicable for this section because Know-how is not formally protected.

4.2. Notes for Section 2 - Patents

Total patent applications filed: Please include in your total:

  • Initiating patent applications: includes provisional or first filings. Please report for any initiating patent applications during the reference period, even if they were revoked at a later date.
  • Follow-on patent applications: includes any that claim priority from an initiating patent application.

Total patents issued includes patents that have been approved for protection during the reference period.

Total patents held is the total number of patents owned or controlled at the end of the reference period. It includes patents issued, such that they were still held at the end of the reference period.

Total patents pending includes any patents filed during or before the reference period that have not been issued yet. Please report the total number of patents pending at the end of the reference period.

Note: International (for example, Patent Cooperation Treaty applications, PCT) and regional applications (e.g., European Patent Office applications) should be counted as single applications. This means a patent family only needs to be counted once. Filed patents not yet issued may be pending. If filed during the reference period, these pending patents would be captured by Total patent applications filed.

4.3.1. Notes for Section 3.1 - New and active licences

New licences executed refers to the number of new licence agreements completed during the reference period. Please include both Canadian and foreign licences in your count.

Active licences refers to the number of existing licence agreements in place at the end of the reference period. This includes any ongoing, new, amended or renegotiated licence agreements in place at the end of the reference period. Please include both Canadian and foreign licences in your count.

Royalty bearing licences refers to licence agreements where licensees compensate IP owners for use of their IP. Compensation to the IP owner can take different forms (% of sales, lump sum payments, equity, etc.). Compared to total licences, this portion of licences aligns better with the dollar amounts in Section 3.2.

Royalty-free licences refers to licence agreements without set compensation for IP owners. The licensee is generally required to respect established conditions but does not provide payment to benefit from the IP rights. While these licences do not generate income for federal departments, they allow licensees to use federal department IP to benefit Canadians.

Note: Please exclude click/wordwrap end user licence agreements (EULAs) including open government licences, and EULAs associated with free downloadable software.

4.3.2. Notes for Section 3.2 - Income received from licensed IP

Income received from licensed IP refers to all income received through IP commercialization during the reference period. This includes income from any royalty structure, for example, sales-based, milestone payments, minimum annual royalties, etc. It also includes income from one-time sales of IP, contributions or fees from licensees, and any other income generated through commercializing IP.

Note: If expired licences generated revenue during the reference period, please still report these amounts. Please exclude click/wordwrap end user licence agreements (EULAs) including open government licences, and EULAs associated with free downloadable software.

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.