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Survey or statistical program

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All (26,625)

All (26,625) (40 to 50 of 26,625 results)

Data (13,294)

Data (13,294) (0 to 10 of 13,294 results)

  • Table: 33-10-0036-01
    Geography: Canada
    Frequency: Daily
    Description:

    This table contains 27 series, with data starting from 1981 (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); Type of currency (27 items: Australian dollar, daily average; Brazilian real, daily average; Chinese renminbi, daily average; European euro, daily average; ...).

    Release date: 2026-08-13

  • Data Visualization: 71-607-X
    Description: Statistics Canada produces a variety of interactive visualization tools that present data in a graphical form. These tools provide a useful way of interpreting trends behind our data on various social and economic topics.
    Release date: 2026-08-13

  • Table: 18-10-0178-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Consulting Services Price Index (COSPI) by services. Quarterly data are available from the first quarter of 2014. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2018=100).

    Release date: 2026-08-13

  • Table: 18-10-0178-02
    Geography: Canada
    Frequency: Quarterly
    Description:

    Consulting Services Price Index, percentage change (COSPI) by services. Quarterly data are available from the second quarter of 2014. The table presents quarter-to-quarter and year-to-year percentage changes for various aggregation levels. The base period for the index is (2018=100).

    Release date: 2026-08-13

  • Data Visualization: 71-607-X2022008
    Description: The Extractive Sector Transparency Measures Act (ESTMA) Data Portal is a collaboration between Statistics Canada and Natural Resources Canada, which administers the ESTMA. The ESTMA helps the Government of Canada deter corruption in the extractive sector by requiring extractive entities that are active in Canada to publicly disclose, on an annual basis, certain types of payments made to governments in Canada and abroad. The goal of the data portal is to increase the accessibility and utility of the payment information collected under the ESTMA by bringing together all available ESTMA data in one online location, and further enriching the payment data with analytical functions that help users to leverage the complete ESTMA dataset. The database has also been designed with mobility in mind to ensure that users and stakeholders have mobile access to ESTMA data.
    Release date: 2026-08-13

  • Data Visualization: 71-607-X2023022
    Description: The Canadian Economic Tracker presents selected monthly indicators from Statistics Canada's Common Output Database Repository (CODR) to highlight interrelated dynamics within the Canadian economy.
    Release date: 2026-08-13

  • Table: 10-10-0108-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 38 series, with data starting from 1935 (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 ...), Assets and liabilities (38 items: Total assets; Total; Government of Canada; bonds; Total; Government of Canada; direct and guaranteed securities; Government of Canada; Treasury Bills ...).
    Release date: 2026-08-13

  • 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: 2026-08-13

  • Table: 10-10-0144-01
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 8 series, with data starting from 1992 (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), Rates (8 items: Bank rate; Treasury bill auction - average yields: 3 month; Treasury bill auction - average yields: 6 month; Treasury bill auction - average yields: 1 year; ...).
    Release date: 2026-08-13

  • Table: 34-10-0292-01
    Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part
    Frequency: Monthly
    Description: Monthly building and demolition permits value of construction by type of structure and type of work.
    Release date: 2026-08-12
Analysis (10,828)

Analysis (10,828) (50 to 60 of 10,828 results)

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

  • 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

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

  • 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-X20261814822
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-06-30

  • 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
Reference (2,031)

Reference (2,031) (2,030 to 2,040 of 2,031 results)

  • Surveys and statistical programs – Documentation: 8014
    Description: This study will be used to determine which method would be the most effective to select households in Canada for any given survey that is conducted by Statistics Canada.