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Results
All (25)
All (25) (0 to 10 of 25 results)
- Articles and reports: 16-002-X202600100002Description: This article presents data on Indigenous Peoples and their experiences with wildfires, along with spatial data on forest fires and air quality from 2023. The analysis integrates results from the 2024 Survey Series on First Nations People, Métis and Inuit - Emergency Preparedness and Extreme Weather with 2021 Census Indigenous population data, alongside spatial data on forest fires and air quality from 2023. This analytical article uses maps, charts and tables to show findings, including burned-area estimates and air quality index values, to provide a comprehensive overview of wildfire experiences among Indigenous populations in Canada.Release date: 2026-07-28
- Articles and reports: 89-657-X2026004Description: Based on results from the 2022 Survey on the Official Language Minority Population, this research note provides contextual information on the combined reporting of English and French in the Census of Population language questions. It answers common questions on the interpretation of some language concepts, such as knowledge of official languages, mother tongue, language spoken at home, and first official language spoken.Release date: 2026-07-16
- Articles and reports: 12-001-X202600100004Description: We test the notion that a quasi-probabilistic method of selecting individuals within households (last birthday, LB) draws in a different sample compared to a non-probabilistic approach that selects respondents according to known parameters on age and gender (frequency matching, FM). With data from an original field experiment, we evaluate fieldwork efficiency (time and completed cases), economy (cost), success in recruiting a representative sample, and differences across a set of attitudinal and behavioral measures. We find that the FM approach performs better on efficiency and cost and achieves a comparable sample; importantly, this comparability extends across measures of personality traits and public opinion. With appropriate caveats, we conclude that researchers’ choice of selection methods should be guided by both theoretical benefits and practical tradeoffs.Release date: 2026-06-29
- Articles and reports: 12-001-X202600100013Description: In the age of big data, nonprobability surveys are becoming increasingly abundant. Data integration techniques involving both probability and nonprobability surveys are being extensively used for providing improved estimates for finite population estimation. While much of the existing research has focused on mitigating selection bias in nonprobability surveys, the issue of measurement error within these surveys remains relatively unexplored. Statistical methods devised with the purpose of reducing selection bias are appropriate for reliable estimation, only under the assumption of accuracy of survey responses. Motivated by a recent case study of Kennedy, Mercer and Lau (2024), our research addresses bias from both measurement and sampling errors in nonprobability surveys. In this article, we propose a new data integration method that uses multiple probability and nonprobability surveys and leverages machine learning models to construct a composite estimator. The proposed composite estimator integrates probability and nonprobability surveys, when both contain response variables of interest. We analyze the performance of this estimator in comparison to an existing composite estimator in literature, analytically as well as empirically, using multiple survey data from Kennedy et al. (2024). Finally, we identify conditions under which the proposed estimator outperforms estimators based solely on probability surveys.Release date: 2026-06-29
- 5. Socioeconomic and dwelling characteristics of Canadian households using alternative energy sourcesArticles and reports: 36-28-0001202600600002Description: The use of renewable energy sources by Canadian households reflects national priorities and international commitments to sustainability. Using data from the 2021 Households and the Environment Survey, this study examines the socioeconomic and dwelling-related characteristics of households that use renewable energy with respect to how adoption is distributed across the population and which groups are likely to adopt alternative energy, offering context for understanding Canada’s progress toward these goals.Release date: 2026-06-24
- Articles and reports: 75-006-X202600100007Description: Using data from the Canadian Survey on Working Conditions, this article provides a profile of workers aged 15 to 69 who used artificial intelligence (AI) and automation technologies at work during the previous year. The article focuses on generative AI which refers to tools trained on large datasets that are used to create new content and to support tasks such as answering questions and problem-solving. Examples of Generative AI tools include ChatGPT and Google Gemini.Release date: 2026-06-17
- Articles and reports: 36-28-0001202600500002Description: This article examines trades certification outcomes from 2008 to 2023 among apprentices who were childhood immigrants, compared with their Canadian-born counterparts, across eight registration cohorts (2008 to 2015).Release date: 2026-05-27
- Stats in brief: 45-20-00032026003Description: Canada’s population is getting a makeover. Big boomer and millennial waves, fewer kids, and longer lives are reshaping housing, schools and care. With Patrick Charbonneau, Section Chief in the Centre for Demography at Statistics Canada, we explore the sandwich generation squeeze and the upside of aging.Release date: 2026-05-27
- Articles and reports: 81-595-M2026001Description: Following significant changes introduced by Immigration, Refugees and Citizenship Canada (IRCC) to the international education program, this study aims to assess the feasibility of developing a system to produce up-to-date estimates of international students enrolled in public postsecondary institutions in Canada. Based on survey data and complemented by two administrative data sources, these estimates will address an important data need and provide a clearer picture of the potential impact that immigration policies have had on international postsecondary education in Canada, particularly for the 2024-2025 and 2025-2026 academic years.Release date: 2026-05-05
- Stats in brief: 11-627-M2026018Description: Volunteering is an important source of support for various organizations. It can be formal (on behalf of a charity or non-profit organization) or informal (helping people directly or improving the community. This infographic looks at formal volunteering among Canadians 55 years and over in 2023.Release date: 2026-04-24
Stats in brief (6)
Stats in brief (6) ((6 results))
- Stats in brief: 45-20-00032026003Description: Canada’s population is getting a makeover. Big boomer and millennial waves, fewer kids, and longer lives are reshaping housing, schools and care. With Patrick Charbonneau, Section Chief in the Centre for Demography at Statistics Canada, we explore the sandwich generation squeeze and the upside of aging.Release date: 2026-05-27
- Stats in brief: 11-627-M2026018Description: Volunteering is an important source of support for various organizations. It can be formal (on behalf of a charity or non-profit organization) or informal (helping people directly or improving the community. This infographic looks at formal volunteering among Canadians 55 years and over in 2023.Release date: 2026-04-24
- Stats in brief: 11-627-M2026015Description: This infographic presents data about cruise ship passenger arrivals to Canada in 2025.Release date: 2026-04-16
- Stats in brief: 45-20-00032026002Description: Everyone wants to be happy, but just how happy are Canadians? On this episode of the Eh Sayers podcast, join quality of life experts from Statistics Canada and Engage Nova Scotia to explore the importance of quality of life programs and what they tell us about our well-being.Release date: 2026-04-09
- Stats in brief: 11-627-M2026001Description: This infographic on satisfaction with time use provides valuable information about how a person perceives their overall time spent in daily activities, such as paid work, unpaid work and care, leisure, or sleep. It is an indicator of the Canada’s Quality of Life Framework and one of the OECD’s recommended measures of subjective well-being.Release date: 2026-03-19
- Stats in brief: 45-20-00032026001Description: The Gross Domestic Product (GDP) tells us about the health and size of Canada’s economy. But for those of us who don’t own or operate multi-million-dollar companies, why does it matter at all? In this episode, Amanda Sinclair, Assistant director for the National Economic Accounts at Statistics Canada, explains some surprising ways GDP can be useful and why, for certain Canadian households, the numbers don’t always seem to add up.Release date: 2026-02-02
Articles and reports (19)
Articles and reports (19) (0 to 10 of 19 results)
- Articles and reports: 16-002-X202600100002Description: This article presents data on Indigenous Peoples and their experiences with wildfires, along with spatial data on forest fires and air quality from 2023. The analysis integrates results from the 2024 Survey Series on First Nations People, Métis and Inuit - Emergency Preparedness and Extreme Weather with 2021 Census Indigenous population data, alongside spatial data on forest fires and air quality from 2023. This analytical article uses maps, charts and tables to show findings, including burned-area estimates and air quality index values, to provide a comprehensive overview of wildfire experiences among Indigenous populations in Canada.Release date: 2026-07-28
- Articles and reports: 89-657-X2026004Description: Based on results from the 2022 Survey on the Official Language Minority Population, this research note provides contextual information on the combined reporting of English and French in the Census of Population language questions. It answers common questions on the interpretation of some language concepts, such as knowledge of official languages, mother tongue, language spoken at home, and first official language spoken.Release date: 2026-07-16
- Articles and reports: 12-001-X202600100004Description: We test the notion that a quasi-probabilistic method of selecting individuals within households (last birthday, LB) draws in a different sample compared to a non-probabilistic approach that selects respondents according to known parameters on age and gender (frequency matching, FM). With data from an original field experiment, we evaluate fieldwork efficiency (time and completed cases), economy (cost), success in recruiting a representative sample, and differences across a set of attitudinal and behavioral measures. We find that the FM approach performs better on efficiency and cost and achieves a comparable sample; importantly, this comparability extends across measures of personality traits and public opinion. With appropriate caveats, we conclude that researchers’ choice of selection methods should be guided by both theoretical benefits and practical tradeoffs.Release date: 2026-06-29
- Articles and reports: 12-001-X202600100013Description: In the age of big data, nonprobability surveys are becoming increasingly abundant. Data integration techniques involving both probability and nonprobability surveys are being extensively used for providing improved estimates for finite population estimation. While much of the existing research has focused on mitigating selection bias in nonprobability surveys, the issue of measurement error within these surveys remains relatively unexplored. Statistical methods devised with the purpose of reducing selection bias are appropriate for reliable estimation, only under the assumption of accuracy of survey responses. Motivated by a recent case study of Kennedy, Mercer and Lau (2024), our research addresses bias from both measurement and sampling errors in nonprobability surveys. In this article, we propose a new data integration method that uses multiple probability and nonprobability surveys and leverages machine learning models to construct a composite estimator. The proposed composite estimator integrates probability and nonprobability surveys, when both contain response variables of interest. We analyze the performance of this estimator in comparison to an existing composite estimator in literature, analytically as well as empirically, using multiple survey data from Kennedy et al. (2024). Finally, we identify conditions under which the proposed estimator outperforms estimators based solely on probability surveys.Release date: 2026-06-29
- 5. Socioeconomic and dwelling characteristics of Canadian households using alternative energy sourcesArticles and reports: 36-28-0001202600600002Description: The use of renewable energy sources by Canadian households reflects national priorities and international commitments to sustainability. Using data from the 2021 Households and the Environment Survey, this study examines the socioeconomic and dwelling-related characteristics of households that use renewable energy with respect to how adoption is distributed across the population and which groups are likely to adopt alternative energy, offering context for understanding Canada’s progress toward these goals.Release date: 2026-06-24
- Articles and reports: 75-006-X202600100007Description: Using data from the Canadian Survey on Working Conditions, this article provides a profile of workers aged 15 to 69 who used artificial intelligence (AI) and automation technologies at work during the previous year. The article focuses on generative AI which refers to tools trained on large datasets that are used to create new content and to support tasks such as answering questions and problem-solving. Examples of Generative AI tools include ChatGPT and Google Gemini.Release date: 2026-06-17
- Articles and reports: 36-28-0001202600500002Description: This article examines trades certification outcomes from 2008 to 2023 among apprentices who were childhood immigrants, compared with their Canadian-born counterparts, across eight registration cohorts (2008 to 2015).Release date: 2026-05-27
- Articles and reports: 81-595-M2026001Description: Following significant changes introduced by Immigration, Refugees and Citizenship Canada (IRCC) to the international education program, this study aims to assess the feasibility of developing a system to produce up-to-date estimates of international students enrolled in public postsecondary institutions in Canada. Based on survey data and complemented by two administrative data sources, these estimates will address an important data need and provide a clearer picture of the potential impact that immigration policies have had on international postsecondary education in Canada, particularly for the 2024-2025 and 2025-2026 academic years.Release date: 2026-05-05
- Articles and reports: 36-28-0001202600400002Description: Artificial intelligence (AI) is widely recognized as a transformative technology with the potential to reshape business operations and drive productivity growth. Understanding the relationship between AI adoption and business performance is critical for shaping policies that foster innovation, technology diffusion and sustainable economic growth, especially given Canada’s persistent productivity challenges. This article summarizes key findings from the study “The Role of Complementary Capabilities in AI Adoption and Productivity: Firm-Level Evidence from Canada” by Li and Liu (2026), published in Canadian Public Policy. Using a novel firm-level database that links multiple waves of the Survey of Digital Technology and Internet Use (SDTIU) to administrative business microdata, the study examines factors influencing AI adoption among Canadian businesses and explores the relationship between AI adoption and firms’ labour productivity.Release date: 2026-04-22
- Articles and reports: 36-28-0001202600400004Description: The experience of loneliness is not evenly distributed in the population but disproportionately affects certain social groups. For example, persons with disabilities have a greater risk of loneliness than persons without disabilities and immigrants have a greater risk of loneliness than Canadian-born persons. This study examines how differences in the experience of loneliness between immigrants and Canadian-born persons with disabilities emerge in the context of socioeconomic participation (employment and school attendance) and socioeconomic deprivation (food insecurity, core housing need, low-income status), using data from the 2022 Canadian Survey on Disability.Release date: 2026-04-22