For over a century, Statistics Canada (StatCan) has been committed to providing high-quality, insightful, and accessible data to help Canadians better understand their country. Trust is the core currency of official statistics. In an era characterized by a rapid expansion of data sources and an insatiable thirst for information, we continually anchor our work in strict professional standards, transparency, and accountability.
At the same time, producing official statistics has become increasingly complex. Canada's economy and society are evolving rapidly, shaped by globalization, technological change, new business models, shifting demographics, climate-related events, and the growing digital economy. Canadians expect statistics that are more timely, detailed, connected, and cost-effective—all while maintaining the highest standards of quality and trust. Meeting these expectations requires continual innovation in how official statistics are produced, without compromising the professional principles that underpin them.
Recent discussions have highlighted the universal challenges national statistical agencies face—including an increasingly complex information environment shaped by misinformation and disinformation, evolving public engagement, changing survey response dynamics, and the need to operate efficiently within current fiscal realities. We hear these perspectives and are proactively reshaping how we gather, guard, and grow our data systems to meet the expectations of Canadians today and into the future.
Addressing changing response rates: The shift to a modern collection ecosystem
Traditional survey response rates have experienced a global downward trend over the past few decades, driving a strategic shift in how we build a more resilient statistical ecosystem.
To maintain the high accuracy and representation that Canadians rely on, we are implementing a multi-faceted approach:
- An "administrative data first" approach: To reduce response burden on households and businesses, we are increasingly leveraging existing secure administrative and alternative data sources, such as tax data, municipal rolls, and land registries. By integrating these sources into our statistical programs, we can often substitute or supplement traditional survey questions. For example, household income information that was once collected directly through surveys is now largely obtained from administrative data files provided by the Canada Revenue Agency. This improves data quality while reducing the number of questions Canadians are asked to answer.
- Responsive and sustainable collection: We are incorporating behavioural science and active monthly live testing into major programs like the Labour Force Survey (LFS). By better understanding our respondents, optimizing our digital communications, and focusing follow-up efforts on under-represented units, we are actively modernizing operations to keep our landmark surveys strong.
- Advanced non-response treatments: StatCan utilizes cutting-edge mathematical models and external validation data to protect against non-response bias. This ensures that even with smaller sample sizes or shifting response dynamics, the final data outputs remain robust, representative, and highly granular.
- Responsible AI and machine learning: To improve efficiency, enhance quality, and respond to emerging information needs, we are responsibly integrating artificial intelligence (AI) and machine learning into statistical production and analysis. Through human oversight, transparent methods, bias mitigation, and strong governance, these tools uphold the principles of official statistics while helping maintain the public trust that underpins our work.
Clarifying revisions: Precision in a fast-moving economy
In a fast-moving economy, delivering information when it matters most requires a careful balance between timeliness and ultimate completeness. StatCan publishes initial estimates using the highest-quality data available at that moment. As more complete information flows in over subsequent months—such as corporate tax updates, comprehensive trade summaries, or late survey responses—we refine those numbers. This standard methodology ensures that policymakers, businesses, and the public are equipped with immediate insights first, while valuable information received afterwards is incorporated to yield the most complete and accurate historical record possible.
A key element of modern statistical science is the standard practice of data revisions. Revisions are not a sign of initial error; they reflect a commitment to timeliness, precision, transparency, and producing the best possible evidence. Today's economy is more dynamic and interconnected than ever, making the measurement of economic activity and unexpected economic shocks increasingly complex. As additional information becomes available, revisions ensure that Canada's economic statistics continue to reflect the most accurate picture of the economy.
Guarding privacy and fostering transparency
We recognize that the willingness of Canadians to participate in our data collection relies entirely on their confidence in our privacy frameworks. Through the Statistics Canada Trust Centre, we make our data governance visible. Every project we undertake is strictly evaluated against the pillars of legal authority, necessity, proportionality, and ethics.
Whether we are deploying advanced machine learning tools or integrating complex datasets, we mask, anonymize, and de-identify personal data to guarantee that individual privacy is never compromised.
Keeping standards and measurement frameworks current
Producing relevant official statistics also requires continually updating the standards and measurement frameworks that underpin them. As Canada's economy and society evolve, so too must the concepts, classifications, and statistical frameworks used to measure them. Emerging technologies, new forms of work, digital commerce, globalization, and changing social realities require ongoing methodological review to ensure that official statistics remain meaningful, internationally comparable, and reflective of Canadians' lived experiences. By regularly modernizing these foundational standards, StatCan ensures that the data used by governments, businesses, researchers, and Canadians continues to accurately represent the country we measure.
Looking to the future
Maintaining the relevance of official statistics requires continual improvement. As outlined in our 2026-27 Departmental Plan, we are working to deliver a fuller, more connected picture of Canada with significantly less response burden. By modernizing and standardizing key processes, expanding the use of integrated data sources, and preparing our data and technology environment to support advanced analytics and AI, we are ensuring that Canadian data remains a global standard for trustworthiness and public good.