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All (26,688) (30 to 40 of 26,688 results)

  • Articles and reports: 18-001-X2026001
    Description: This study examines Black-owned enterprises in Canada, including the people they employ and the support they receive from federal programs. It compares these characteristics across enterprises based on the racialized profile of the primary owner.
    Release date: 2026-09-10

  • Journals and periodicals: 18-001-X
    Geography: Canada
    Description: Reports on Special Business Projects is an occasional series that focuses primarily on the results of special surveys or special projects conducted by the Centre for Special Business Projects. The reports cover a wide range of topics, which include business performance and trends, custom tabulations of business data, economic impact studies, new measurement frameworks and indicators to support program development, monitoring and performance assessment, territorial economic indicators and other special studies.
    Release date: 2026-09-10

  • 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: 2026-09-10

  • Table: 10-10-0158-01
    Geography: Geographical region of Canada, Province or territory
    Frequency: Quarterly
    Description:

    This table contains 661 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 (19 items: Canada, provinces and international; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...) ; Assets and liabilities (36 items: Bank notes and coin other than gold and silver bullion; Securities issued or guaranteed by a Canadian province; Securities issued or guaranteed by a Canadian municipal or school corporation; Other securities; ...).

    Release date: 2026-09-10

  • Stats in brief: 11-001-X20262533339
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-09-10

  • Data Visualization: 71-607-X2021006
    Description: This interactive data visualization provides an overview of employment in rural Canada. The dashboard allows users to compare employment in different industries. Data can be visualized for Canada or for a selected province.
    Release date: 2026-09-10

  • 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: 2026-09-10

  • 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: 2026-09-10

  • Table: 32-10-0077-01
    Geography: Province or territory
    Frequency: Monthly
    Description: Farm product prices, crops and livestock, by province (in dollars per metric tonne unless otherwise noted). Data are available on a monthly basis.
    Release date: 2026-09-10

  • Table: 36-10-0039-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly data on Canada's international investment position by sector and type of portfolio investment and other investment. Positions are evaluated at book value and at market value.

    Release date: 2026-09-10
Data (13,347)

Data (13,347) (0 to 10 of 13,347 results)

  • 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: 2026-09-11

  • 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: 2026-09-11

  • 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: 2026-09-11

  • Table: 10-10-0138-01
    Frequency: Weekly
    Description: This table contains 12 series, with data starting from 1954 (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: United States); Rates (12 items: Federal Reserve Bank of New York - discount rate; Prime rate charged by banks; Federal funds rate;Commercial paper, adjusted: 1 month; ...).
    Release date: 2026-09-11

  • 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: 2026-09-11

  • Table: 10-10-0141-01
    Geography: Canada
    Frequency: Daily
    Description: This table contains 6 series, with data starting from 1999 (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 reserve (6 items: Total, Canada's official international reserves; Convertible foreign currencies, United States dollars;Convertible foreign currencies, other than United States; Gold; ...).
    Release date: 2026-09-11

  • 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: 2026-09-11

  • Table: 10-10-0145-01
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 38 series, with data starting from 1957 (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 (38 items: Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate; Forward premium or discount (-), United States dollars in Canada: 1 month; ...).
    Release date: 2026-09-11

  • Table: 11-10-0065-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Debt service ratios, interest and obligated principal payments on debt, and related statistics for households, Canada.

    Release date: 2026-09-11

  • Data Visualization: 71-607-X2018015
    Description: Quarterly national balance sheet, financial flows, and other changes in assets accounts data presented in a from-whom-to whom basis for selected financial instruments.
    Release date: 2026-09-11
Analysis (10,840)

Analysis (10,840) (80 to 90 of 10,840 results)

  • 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

  • Articles and reports: 12-001-X202600100008
    Description: This paper introduces an innovative and intuitive finite population sampling method that has been developed using a unique graphical framework. In this approach, first-order inclusion probabilities are represented as bars on a two-dimensional graph. By manipulating the positions of these bars, researchers can create a wide range of different sampling designs. This graphical visualization of sampling designs facilitates the exploration of alternative designs and may simplify certain aspects of the implementation compared to traditional mathematical algorithms. This novel approach holds significant promise for tackling complex challenges in sampling, such as achieving an optimal design. By applying a version of the greedy best-first search algorithm to this graphical approach, the potential for integrating intelligent algorithms into finite population sampling is demonstrated.
    Release date: 2026-06-29

  • Articles and reports: 12-001-X202600100009
    Description: Combining estimates from independent surveys via inverse-variance weights can lead to negative bias when unknown variances are estimated and the target variable is non-negative and positively skewed. In such cases, strong positive correlations typically arise between the estimators and their corresponding variance estimators, causing standard linear combinations with inverse-variance weights to exhibit negative bias. We introduce a strikingly simple method to reduce bias: replace the standard weight with the ratio of the estimator to the variance estimator. Under a linear model linking the two, we show that the new ratio-weighted estimator is approximately unbiased, whereas the conventional inverse-variance combination exhibits downward bias. Through simulations, we demonstrate that the new method brings both the bias and the mean squared error closer to the optimum for a wide range of different target variables. As our method uses only standardly reported summary statistics, it can be immediately adopted to reduce this widespread bias and improve the reliability of scientific findings in various fields.
    Release date: 2026-06-29

  • Articles and reports: 12-001-X202600100010
    Description: With the exception of two-phase sampling, the standard variance approximation of the generalized regression (GREG) estimator assumes that the population totals in the weighting scheme are observed without error. If the weighting model of the GREG estimator contains population totals that are observed with measurement error sources other than the sampling error of first-phase estimates, then this uncertainty will be ignored by the variance approximation of the GREG estimator. This paper proposes a variance approximation for the GREG estimator that accounts for additional uncertainty arising from measurement error in one or more of the population totals used in the weighting scheme. This approach has been developed for, and is being applied to, the Dutch Labour Force Survey (DLFS). The monthly publications of the DLFS are obtained with a time series model, which corrects for rotation group bias and discontinuities caused by major redesigns and the loss of face-to-face interviews during COVID-19. The GREG estimates for the quarterly figures are benchmarked to the average of the monthly publications to enforce numerical consistency between monthly and quarterly publication tables. The standard variance approximation of the GREG estimator assumes that these population totals are observed without error. This results in an underestimation of the variance of the GREG estimator. The variance approximation proposed in this paper results in more realistic standard errors for the quarterly GREG estimates.
    Release date: 2026-06-29

  • Articles and reports: 12-001-X202600100011
    Description: We construct a hybrid Bayesian method, which includes a differentially private mechanism, to mask Census county totals for a U.S. state on acreage of a commodity. We use surrogates for data collected at the farm level from a past U.S. Census of Agriculture to illustrate our procedure. We use two Bayesian small area models (parametric and mixture) to accommodate the smaller counties with fewer farms and some counties with large acres. In these models, the Laplace distribution provides a differentially private mechanism. In pre-processing, we also incorporate the Census weights to form the observed total acreage, a scaling factor to the Laplace mechanism for each county, a square-root transformation of the observed total acreage to avoid negative masked estimates especially for small counties, and the p-percent rule and the 3+ rule to partition the counties into suppressed counties, non-sensitive counties and sensitive counties. Because of difficulties in specifying and tuning the privacy budget (an unknown parameter), to balance security and utility, we specify a prior for the privacy budget, where the values are not specified, and the Gibbs sampler is used to fit the hierarchical Bayesian models. In post-processing, we use Bayesian predictive inference to obtain masked county acreages, and this includes a benchmarking so that the masked state total matches the observed state total. As a measure of reliability of the Bayesian procedure, we use the posterior coefficients of variation for the masked posterior means of the counties. As a measure of utility, we use the absolute relative errors for the individual counties, together with other global measures. For the sensitive counties, there are some differences between the two small area models but both are much better than an individual area model; the mixture model being the best compromise for security and utility.
    Release date: 2026-06-29
Reference (2,031)

Reference (2,031) (2,010 to 2,020 of 2,031 results)

  • Surveys and statistical programs – Documentation: 7514
    Description: The data contain monthly and annual financial results of the Government of Canada as reported, respectively, in the Department of Finance's monthly Fiscal Monitor and the annual Public Accounts of Canada.

  • Surveys and statistical programs – Documentation: 7516
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7517
    Description: If you have any questions about these data please contact: Randy Sheldrick Energy Section Manufacturing, Construction and Energy Division Statistics Canada Ottawa, Ontario K1A 0T6 Telephone: (613) 951-4804

  • Surveys and statistical programs – Documentation: 7518
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7519
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7520
    Description: This is not Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7522
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7524
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7525
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7526
    Description: This is non-Statistics Canada information.