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All (26,599)

All (26,599) (0 to 10 of 26,599 results)

  • 1. Orange Skies, Smoky Air and Billions at Risk of Going Up in Smoke
    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
  • 2. The Eh Sayers Podcast
    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
  • 3. Fisher commodity price index, United States dollar terms, Bank of Canada, monthly
    Table: 10-10-0132-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 7 series, with data starting from 1972 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Commodity (7 items: Total; all commodities; Metals and Minerals; Energy; Total excluding energy ...).
    Release date: 2026-07-06
  • 4. Bank of Canada, assets and liabilities, Wednesdays
    Table: 10-10-0136-01
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 29 series, with data starting from 1953 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Assets and liabilities (29 items: Total assets; Total, Government of Canada, direct and guaranteed securities; Government of Canada, Treasury Bills; Total, Government of Canada, bonds; ...).
    Release date: 2026-07-06
  • 5. Bank of Canada, money market and other interest rates
    Table: 10-10-0139-01
    Geography: Canada
    Frequency: Daily
    Description: This table contains 39 series, with data for starting from 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Financial market statistics (39 items: Government of Canada Treasury Bills, 1-month (composite rates); Government of Canada Treasury Bills, 2-month (composite rates); Government of Canada Treasury Bills, 3-month (composite rates);Government of Canada Treasury Bills, 6-month (composite rates); ...).
    Release date: 2026-07-06
  • 6. Fisher commodity price index, United States dollar terms, Bank of Canada, Fisher commodity price index, United States dollar terms, Bank of Canada, weekly
    Table: 10-10-0143-01
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 7 series, with data starting from 1972 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Commodity (7 items: Total, all commodities; Total excluding energy; Energy; Metals and Minerals; ...).
    Release date: 2026-07-06
  • 7. Lumber production, shipments, and stocks by species, monthly
    Table: 16-10-0017-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Lumber, monthly production, shipments and stocks by species; data in thousands of cubic metres.
    Release date: 2026-07-06
  • 8. Lumber production by species, monthly
    Table: 16-10-0017-02
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly production, by product; data in thousands of cubic metres.

    Release date: 2026-07-06
  • 9. Lumber shipments by species, monthly
    Table: 16-10-0017-03
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly shipments, by product; data in thousands of cubic metres.

    Release date: 2026-07-06
  • 10. Lumber stocks by species, monthly
    Table: 16-10-0017-04
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly stocks, by product; data in thousands of cubic metres.

    Release date: 2026-07-06
Data (13,291)

Data (13,291) (0 to 10 of 13,291 results)

  • 1. Fisher commodity price index, United States dollar terms, Bank of Canada, monthly
    Table: 10-10-0132-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 7 series, with data starting from 1972 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Commodity (7 items: Total; all commodities; Metals and Minerals; Energy; Total excluding energy ...).
    Release date: 2026-07-06
  • 2. Bank of Canada, assets and liabilities, Wednesdays
    Table: 10-10-0136-01
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 29 series, with data starting from 1953 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Assets and liabilities (29 items: Total assets; Total, Government of Canada, direct and guaranteed securities; Government of Canada, Treasury Bills; Total, Government of Canada, bonds; ...).
    Release date: 2026-07-06
  • 3. Bank of Canada, money market and other interest rates
    Table: 10-10-0139-01
    Geography: Canada
    Frequency: Daily
    Description: This table contains 39 series, with data for starting from 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Financial market statistics (39 items: Government of Canada Treasury Bills, 1-month (composite rates); Government of Canada Treasury Bills, 2-month (composite rates); Government of Canada Treasury Bills, 3-month (composite rates);Government of Canada Treasury Bills, 6-month (composite rates); ...).
    Release date: 2026-07-06
  • 4. Fisher commodity price index, United States dollar terms, Bank of Canada, Fisher commodity price index, United States dollar terms, Bank of Canada, weekly
    Table: 10-10-0143-01
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 7 series, with data starting from 1972 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Commodity (7 items: Total, all commodities; Total excluding energy; Energy; Metals and Minerals; ...).
    Release date: 2026-07-06
  • 5. Lumber production, shipments, and stocks by species, monthly
    Table: 16-10-0017-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Lumber, monthly production, shipments and stocks by species; data in thousands of cubic metres.
    Release date: 2026-07-06
  • 6. Lumber production by species, monthly
    Table: 16-10-0017-02
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly production, by product; data in thousands of cubic metres.

    Release date: 2026-07-06
  • 7. Lumber shipments by species, monthly
    Table: 16-10-0017-03
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly shipments, by product; data in thousands of cubic metres.

    Release date: 2026-07-06
  • 8. Lumber stocks by species, monthly
    Table: 16-10-0017-04
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly stocks, by product; data in thousands of cubic metres.

    Release date: 2026-07-06
  • 9. British Columbia lumber production, monthly
    Table: 16-10-0017-05
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly production, by species, for British Columbia; data in thousands of cubic metres.

    Release date: 2026-07-06
  • 10. British Columbia, lumber shipments, monthly
    Table: 16-10-0017-06
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description:

    Lumber, monthly shipments, by species, for British Columbia; data in thousands of cubic metres.

    Release date: 2026-07-06
Analysis (10,806)

Analysis (10,806) (0 to 10 of 10,806 results)

  • 1. Orange Skies, Smoky Air and Billions at Risk of Going Up in Smoke
    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
  • 2. The Eh Sayers Podcast
    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
  • 3. Gross domestic product by industry April 2026
    Stats in brief: 11-001-X20261813569
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-06-30
  • 4. Principal field crop areas June 2026
    Stats in brief: 11-001-X20261814822
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-06-30
  • 5. A conversation with Wayne A. Fuller
    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
  • 6. Multiple imputation for nonresponse in surveys using design weights and auxiliary margins
    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
  • 7. Exact and approximation formulas for second-order inclusion probabilities in randomized systematic sampling with unequal probabilities and without replacement
    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
  • 8. Comparing two common approaches to within-household sampling: A field experiment in Costa Rica
    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
  • 9. Improving the coverage of confidence intervals with respect to degrees of freedom: Application to the Canadian Census
    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
  • 10. Master samples with optimized panels
    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
Reference (2,030)

Reference (2,030) (0 to 10 of 2,030 results)

  • 1. Human landscape modification index: Data product specifications
    Geographic files and documentation: 16-510-X2026002
    Description: This product contains specifications intended for users of the human landscape modification index (HLMI) geospatial files that represent the degree of direct landscape modifications to Canada's terrestrial and freshwater extent (excluding the Great Lakes) around 2020. This document provides important technical information for users, including scope, data content and structure, data quality and data capture. This document also provides additional information about the datasets used to develop the HLMI.
    Release date: 2026-06-25
  • 2. Census of Environment: Spatial information products
    Geographic files and documentation: 16-510-X
    Description: Spatial information products provide users with data for visualization, reference, mapping and spatial analysis using geographical information systems (GIS). Available files include spatial environmental data as well as documentation and metadata. This information is released as part of a suite of products associated with the Census of Environment (CoE). The CoE organizes data about Canada’s natural environment using the System of Environmental-Economic Accounting – Ecosystem Accounting international statistical standard, which takes a spatial approach to accounting for Canada’s ecosystems and natural capital.
    Release date: 2026-06-25
  • 3. Technical Reference Guides for the Education and Labour Market Longitudinal Platform (ELMLP)
    Surveys and statistical programs – Documentation: 37-20-0001
    Description: These reference guides are intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The guide provides an overview of the Postsecondary Student Information System (PSIS) and the Registered Apprenticeship Information System (RAIS), the general methodology used to create longitudinal indicators, and important technical information for users.
    Release date: 2026-06-24
  • 4. Advance indicators: Production, use and interpretation, 2026
    Surveys and statistical programs – Documentation: 19-20-00012026003
    Description: This article provides nontechnical answers to questions related to the production, use and interpretation of advance indicators for Statistics Canada’s Monthly Survey of Manufacturing, Monthly Wholesale Trade Survey and Monthly Retail Trade Survey.
    Release date: 2026-06-16
  • 5. Statistical Methods Reference Documents
    Surveys and statistical programs – Documentation: 19-20-0001
    Description: Documents in this series provide insight into the statistical methods used by Statistics Canada to produce official statistics. They include introductory material, in-depth descriptions of techniques and methods, best practices, and guidelines. All documents have undergone review to ensure that they conform to Statistics Canada's mandate and adhere to generally accepted methodological standards and practices.
    Release date: 2026-06-16
  • 6. Trend-cycle estimation: Concepts, interpretation, and calculation, 2026
    Surveys and statistical programs – Documentation: 19-20-00012026002
    Description: This reference document provides answers on selected topics related to the use, interpretation, and calculation of trend-cycle estimates for seasonally adjusted data. It is designed to complement more technical discussions of seasonal adjustment and trend-cycle estimation found in Statistics Canada publications and reference manuals.
    Release date: 2026-06-08
  • 7. Seasonal adjustment: Concepts and interpretation, 2026
    Surveys and statistical programs – Documentation: 19-20-00012026001
    Description: This reference document provides nontechnical answers on selected topics related to the use and interpretation of seasonally adjusted data. It is designed to complement more technical discussions of seasonal adjustment found in Statistics Canada publications and reference manuals.
    Release date: 2026-05-11
  • 8. Latest Developments in the Canadian Economic Accounts
    Notices and consultations: 13-605-X
    Description: This product contains articles related to the latest methodological, conceptual developments in the Canadian System of Macroeconomic Accounts as well as the analysis of the Canadian economy. It includes articles detailing new methods, concepts and statistical techniques used to compile the Canadian System of Macroeconomic Accounts. It also includes information related to new or expanded data products, provides updates and supplements to information found in various guides and analytical articles touching upon a broad range of topics related to the Canadian economy.
    Release date: 2026-05-04
  • 9. Health Regions: Boundaries and Correspondence with Census Geography
    Geographic files and documentation: 82-402-X
    Description: Health regions are defined by the provinces and represent administrative areas or regions of interest to health authorities. This product contains correspondence files (linking health regions to latest Census geographic codes) and digital boundary files. User documentation provides an overview of health regions, sources, methods, limitations and product description (file format and layout).

    In addition to the geographic files, this product also includes Census data (basic profile) for health regions.

    Release date: 2026-04-30
  • 10. A Framework for Projecting Housing Use Associated with Immigrants and Non-Permanent Residents
    Surveys and statistical programs – Documentation: 11-633-X2026002
    Description: Recent changes in Canada’s immigration levels have heightened interest in understanding how immigration affects housing demand. This article develops a methodological framework for projecting housing use associated with permanent residents (PRs) and non-permanent residents (NPRs) under alternative immigration scenarios. The framework applies observed per capita housing use rates from the Census of Population to estimate incremental housing use by tenure over time.
    Release date: 2026-04-24

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