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All (10,814) (0 to 10 of 10,814 results)

  • Stats in brief: 11-001-X20261913587
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-07-10

  • Stats in brief: 11-001-X20261913592
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-07-10

  • Stats in brief: 89-20-00062026001
    Description: In this video you will learn about the steps and activities in the data journey. The data journey represents the key stages of the data process. The journey is not necessarily linear. It is intended to represent the different steps and activities that could be undertaken to produce meaningful information from data. Not everyone who uses data will do all of these steps.
    Release date: 2026-07-09

  • Journals and periodicals: 89-20-0006
    Description: Statistics Canada is committed to sharing our knowledge and expertise to help all Canadians develop their data literacy skills by developing a series of data literacy training resources. Data literacy is a key skill needed in the 21st century. It is generally described as the ability to derive meaning from data. Data literacy focuses on the competencies or skills involved in working with data, including the ability to read, analyze, interpret, visualize data, as well as to drive good decision-making.
    Release date: 2026-07-09

  • Articles and reports: 75-006-X202600100008
    Description: This study uses data from the 2025 Canadian Social Survey to examine Canadians’ beliefs about the effects of climate change, as well as their level of concern and how frequently it is a source of stress. It also explores the relationship between concern, stress, and actions taken at the individual level to reduce environmental impact.
    Release date: 2026-07-08

  • Stats in brief: 11-001-X202618941233
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-07-08

  • Stats in brief: 11-001-X202618941538
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-07-08

  • Stats in brief: 11-627-M2026023
    Description: This infographic presents data about Nunavut tourism, July to September 2025.
    Release date: 2026-07-08

  • Articles and reports: 85-002-X202600100011
    Description: Using data from the Uniform Crime Reporting Survey from 2009 to 2024, this Juristat article examines trends in firearm-related intimate partner violence, including characteristics of incidents, victims, and accused persons. Data from the Homicide Survey are also included to examine the prevalence and nature of firearm-related intimate partner homicides.
    Release date: 2026-07-08

  • Journals and periodicals: 11-627-M
    Description: Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time.

    These infographics will provide a quick overview of Statistics Canada survey data.

    Release date: 2026-07-08
Stats in brief (2,915)

Stats in brief (2,915) (0 to 10 of 2,915 results)

  • Stats in brief: 11-001-X20261913587
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-07-10

  • Stats in brief: 11-001-X20261913592
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-07-10

  • Stats in brief: 89-20-00062026001
    Description: In this video you will learn about the steps and activities in the data journey. The data journey represents the key stages of the data process. The journey is not necessarily linear. It is intended to represent the different steps and activities that could be undertaken to produce meaningful information from data. Not everyone who uses data will do all of these steps.
    Release date: 2026-07-09

  • Stats in brief: 11-001-X202618941233
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-07-08

  • Stats in brief: 11-001-X202618941538
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-07-08

  • Stats in brief: 11-627-M2026023
    Description: This infographic presents data about Nunavut tourism, July to September 2025.
    Release date: 2026-07-08

  • Stats in brief: 11-001-X20261883612
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-07-07

  • Stats in brief: 11-001-X202618841805
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-07-07

  • Stats in brief: 45-20-00032026004
    Description: Orange skies, record breaking fire seasons, and smoke that travels thousands of kilometres have made wildfires impossible to ignore. But beyond the visible destruction lies another story, one measured not only in burned forests and evacuations, but also in economic impacts that ripple across communities and industries. How do wildfires affect Canada's economy? How are these impacts measured? And what do they tell us about the challenges Canadians may face in the years ahead?

    In this episode, we spoke with Mike Flannigan, a leading expert on wildfire science and climate change at Thompson Rivers University, and Mark Brown, Principal Researcher at Statistics Canada, to explore how wildfires are reshaping Canada’s forests, communities, and economy.
    Release date: 2026-07-06

  • Stats in brief: 11-001-X20261813569
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-06-30
Articles and reports (7,575)

Articles and reports (7,575) (0 to 10 of 7,575 results)

  • Articles and reports: 75-006-X202600100008
    Description: This study uses data from the 2025 Canadian Social Survey to examine Canadians’ beliefs about the effects of climate change, as well as their level of concern and how frequently it is a source of stress. It also explores the relationship between concern, stress, and actions taken at the individual level to reduce environmental impact.
    Release date: 2026-07-08

  • Articles and reports: 85-002-X202600100011
    Description: Using data from the Uniform Crime Reporting Survey from 2009 to 2024, this Juristat article examines trends in firearm-related intimate partner violence, including characteristics of incidents, victims, and accused persons. Data from the Homicide Survey are also included to examine the prevalence and nature of firearm-related intimate partner homicides.
    Release date: 2026-07-08

  • Articles and reports: 46-28-0001202600100003
    Description: In this article, the Canadian Housing Statistics Program (CHSP) is releasing data on investors in the residential housing market by size. Concentration in the residential housing market is analyzed for the 2022 reference year in Prince Edward Island, Nova Scotia, New Brunswick, Ontario, Manitoba and British Columbia.
    Release date: 2026-07-07

  • Articles and reports: 12-001-X202600100001
    Description: Wayne A. Fuller is a leading figure in statistics whose career at Iowa State University (ISU) began in 1959; he is now Distinguished Professor Emeritus in Statistics and Economics. This article briefly recounts his early life and training in agricultural economics at ISU and highlights influential contributions spanning time series analysis, measurement error models, and survey sampling. It documents his impact through seminal textbooks, methodological advances such as the Dickey-Fuller test and regression estimation, sustained work on major operational surveys (e.g., the National Resources Inventory), and mentorship of many graduate students. The article includes an interview conducted on May 20th, 2025, at Professor Fuller’s home.
    Release date: 2026-06-29

  • Articles and reports: 12-001-X202600100002
    Description: Survey data typically have missing values due to unit and item nonresponse. Sometimes, survey organizations know the marginal distributions of certain categorical variables in the target population. As shown in previous work, survey organizations can leverage these distributions in multiple imputation for nonignorable unit nonresponse, generating imputations that result in plausible completed-data estimates for the variables with known margins. However, this prior work does not use the design weights for unit nonrespondents. We extend this previous work to utilize the design weights for all sampled units. We illustrate the approach using simulation studies.
    Release date: 2026-06-29

  • Articles and reports: 12-001-X202600100003
    Description: Probability-proportional-to-size sampling is widely used by national statistical offices. Here population units are selected with probabilities proportional to an auxiliary variable. Variance formulas in such designs require both first- and second-order inclusion probabilities. The computation of second-order inclusion probabilities is particularly challenging for large populations, and has been the subject of extensive research. This article presents some new exact and approximation formulas for second-order inclusion probabilities in randomized systematic sampling with unequal probabilities and without replacement.
    Release date: 2026-06-29

  • Articles and reports: 12-001-X202600100004
    Description: 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-X202600100005
    Description: Confidence intervals are very often constructed based on a probability distribution that uses a certain number of degrees of freedom as a parameter. This is the case with the Student and the modified Wilson confidence intervals, discussed in this article, which use quantiles from the Student distribution where the number of degrees of freedom is generally unknown. For the length of a confidence interval to be representative of the reliability of an estimate, the actual coverage rate must match the nominal rate. To that end, the number of degrees of freedom in the probability distribution used in practice to calculate the confidence interval must be estimated as precisely as possible. An approximate rule is often used, although it tends to overestimate the actual number of degrees of freedom. In this article, a more precise version of degrees of freedom, derived from the Satterthwaite approximation, is obtained in the context of the Canadian Census of Population. The sampling design is equivalent to a simple random design without replacement, cluster-stratified, and the variance estimation method is an adaptation of the balanced repeated replication method. An explicit expression of the degrees of freedom is obtained under these conditions, enabling the factors influencing them to be identified. For comparison, the degree of freedom formula is also established for the conventional variance estimator. A simulation study shows that using this version of degrees of freedom corrects the undercoverage problem observed with the approximate rule, showing the importance of accurately assessing this number.
    Release date: 2026-06-29

  • Articles and reports: 12-001-X202600100006
    Description: We introduce a general framework for constructing master samples that preserve desirable design properties across panels. The core procedure is to order an initial probability sample. Since the final sequence must be robust to a uniform random rotation, we define and minimize an objective that aggregates panel-level performance across all possible circular panels. A final random rotation is applied to ensure design validity. The framework is flexible with respect to the choice of design criteria, such as spatial balance or marginal balance, and can be implemented efficiently using simulated annealing to obtain high-quality approximate solutions. By construction, the approach supports both positive and negative sample coordination for spatially balanced, marginally balanced, and doubly balanced samples. The method’s versatility is demonstrated through three applications: constructing a master sample with spatially balanced panels, marginally balanced panels, and doubly balanced panels.
    Release date: 2026-06-29

  • Articles and reports: 12-001-X202600100007
    Description: National statistical institutes operate sample coordination systems to spread the response burden in business surveys. Despite the applied sample coordination and monitoring the response burden, some businesses might still be heavily sampled within a short period. This may lead to a peaking response burden for individual businesses, which could affect response rates and response quality. This paper proposes a new sample coordination method based on Adapted Spatially Correlated Poisson (ASCP) sampling that focuses on businesses with a high response burden. The effects on the response burden will be evaluated in two simulation studies and compared with a stratified approach, a pragmatic method in which sampling fractions are manually adjusted and with the baseline method of ignoring the response burden. For the simulations, real-world scenarios and data from Statistics Netherlands are used. The first simulation study considers a practical situation in which a given sample is adjusted with the aim to avoid the occurrence of businesses with a peaking response burden. The second simulation study analyzes the longer-term effects of the different sample coordination methods and focuses both on the reduction and spread of the response burden. The advantages and disadvantages of the different methods will be explained and discussed in detail, and recommendations for applying these methods at national statistical institutes and other survey agencies will be given.
    Release date: 2026-06-29
Journals and periodicals (324)

Journals and periodicals (324) (0 to 10 of 324 results)

  • Journals and periodicals: 89-20-0006
    Description: Statistics Canada is committed to sharing our knowledge and expertise to help all Canadians develop their data literacy skills by developing a series of data literacy training resources. Data literacy is a key skill needed in the 21st century. It is generally described as the ability to derive meaning from data. Data literacy focuses on the competencies or skills involved in working with data, including the ability to read, analyze, interpret, visualize data, as well as to drive good decision-making.
    Release date: 2026-07-09

  • Journals and periodicals: 11-627-M
    Description: Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time.

    These infographics will provide a quick overview of Statistics Canada survey data.

    Release date: 2026-07-08

  • Journals and periodicals: 75-006-X
    Geography: Canada
    Description: This publication brings together and analyzes a wide range of data sources in order to provide information on various aspects of Canadian society, including labour, income, education, social, and demographic issues, that affect the lives of Canadians.
    Release date: 2026-07-08

  • Journals and periodicals: 85-002-X
    Geography: Canada
    Description: This publication provides in-depth analysis and detailed statistics on a variety of topics and issues related to justice and public safety. Topics include crime, victimization, homicide, civil, family and criminal courts, and correctional services. Issues related to community safety, and perceptions of safety are also covered. The publication is intended for those with an interest in Canada's justice and public safety systems as well as those who plan, establish, administer and evaluate programs and projects related to justice and public safety.
    Release date: 2026-07-08

  • Journals and periodicals: 46-28-0001
    Description: This publication provides insights on housing data and analysis at Statistics Canada. Readers can access in-depth information on the latest housing data released by the Agency. The series relies on both descriptive and analytical methods to analyze administrative and survey data sets that relate to housing.
    Release date: 2026-07-07

  • Journals and periodicals: 45-20-0003
    Description: The ‘Eh Sayers’ podcast explores data of interest to Canadians, like social or news-worthy topics. It also aims to foster data literacy and deliver insight into the lives of Canadians by exploring the data the agency produces and tying it to real life situations through storytelling.
    Release date: 2026-07-06

  • Journals and periodicals: 12-001-X
    Geography: Canada
    Description: The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves.
    Release date: 2026-06-29

  • Journals and periodicals: 89-657-X
    Description: This thematic series groups different statistical products related to ethnicity, languages, and immigration. It features analytical documents of varying scopes, such as population profiles, reference materials, data products (including tables and factsheets), among other document types.
    Release date: 2026-06-29

  • Journals and periodicals: 36-28-0001
    Description: Economic and Social Reports includes in-depth research, brief analyses, and current economic updates on a variety of topics, such as labour, immigration, education and skills, income mobility, well-being, aging, firm dynamics, productivity, economic transitions, and economic geography. All the papers are institutionally reviewed and the research and analytical papers undergo peer review to ensure that they conform to Statistics Canada's mandate as a governmental statistical agency and adhere to generally accepted standards of good professional practice.
    Release date: 2026-06-24

  • Journals and periodicals: 11-621-M
    Geography: Canada
    Description: The papers published in the Analysis in Brief analytical series shed light on current economic issues. Aimed at a general audience, they cover a wide range of topics including National Accounts, business enterprises, trade, transportation, agriculture, the environment, manufacturing, science and technology, services, etc.
    Release date: 2026-06-22