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All (26,494)

All (26,494) (0 to 10 of 26,494 results)

  • 1. Geographic variation in female breast cancer incidence and mortality in Canada - Open in new window/tab
    Articles and reports: 82-003-X202600500001
    Description: Previous research has found variability in cancer incidence and cancer-related outcomes according to place of residence. This study examined geographic variability in the incidence and mortality of breast cancer among females in Canada, using data from the 2021 Canadian Cancer Registry (breast cancer incidence) and the Canadian Vital Statistics – Death database (breast cancer mortality). Age-standardized incidence rates (ASIRs) and age-standardized mortality rates (ASMRs) per 100,000 females per year and their rate ratios were calculated, as well as age group-specific and age-standardized stage-specific incidence rates, and examined across provinces and territories, community sizes, and peer groups (i.e., clusters of health regions with similar socioeconomic and demographic characteristics).
    Release date: 2026-05-20
  • 2. Enhancing the OncoSim-Breast model using Canadian breast density information - Open in new window/tab
    Articles and reports: 82-003-X202600500002
    Description: Breast cancer is the most commonly diagnosed cancer among women in Canada. Breast density substantially influences breast cancer risk and mammography performance. However, OncoSim-Breast, a Canadian microsimulation model representing breast cancer control, including cancer onset, screening, and survival, has not previously explicitly accounted for breast density. This study describes the incorporation of density-specific parameters—prevalence, relative risk of breast cancer, and digital mammography performance (sensitivity and specificity)—using data from five Canadian provinces, into the OncoSim-Breast model. Calibration experiments and internal validations were conducted to ensure the updated OncoSim-Breast model aligned with observed data from the Canadian Cancer Registry.
    Release date: 2026-05-20
  • 3. Preterm births among mothers from racialized groups, 2016-2021 - Open in new window/tab
    Articles and reports: 82-625-X202600100001
    Description: This is a health fact sheet about preterm births among mothers from racialized groups. This analysis includes live births from the five-year period preceding the 2021 Census.
    Release date: 2026-05-20
  • 4. Income Research Paper Series - Open in new window/tab
    Journals and periodicals: 75F0002M
    Description: This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research.
    Release date: 2026-05-20
  • 5. Health Reports - Open in new window/tab
    Journals and periodicals: 82-003-X
    Geography: Canada
    Description:

    Health Reports, published by the Health Analysis and Modelling Division of Statistics Canada, is a peer-reviewed journal of population health and health services research. It is designed for a broad audience that includes health professionals, researchers, policymakers, and the general public. The journal publishes articles of wide interest that contain original and timely analyses of national or provincial/territorial surveys or administrative databases. New articles are published electronically each month.

    Health Reports had an impact factor of 3.3 for 2024 and a five-year impact factor of 4.4. All articles are indexed in PubMed. Our online catalogue is free and receives more than 700,000 visits per year. External submissions are welcome.
    Release date: 2026-05-20
  • 6. Health Fact Sheets - Open in new window/tab
    Journals and periodicals: 82-625-X
    Geography: Canada
    Description: Health fact sheets will include short, focused, single-theme analysis documents. Over the course of the series, analysis will include topics on: Health conditions, lifestyle, well-being, disability, prevention and detection of disease, deaths, pregnancy and birth, health care services and environmental factors.
    Release date: 2026-05-20
  • 7. Consumer Price Index (CPI) statistics, alternative measures, unadjusted and seasonally adjusted, Bank of Canada - Open in new window/tab
    Table: 10-10-0106-01
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 18 series, with data starting from 1979 (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 ...) Alternative measures (18 items: Consumer Price Index (CPI) excluding food; energy and the effect of indirect taxes; seasonally adjusted; Consumer Price Index (CPI) excluding the effect of indirect taxes; seasonally adjusted; Consumer Price Index (CPI) excluding the effect of indirect taxes; Consumer Price Index (CPI) excluding food; energy and the effect of indirect taxes ...).
    Release date: 2026-05-20
  • 8. Bank of Canada, money market and other interest rates - Open in new window/tab
    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: 2026-05-20
  • 9. Credit liabilities of households - Open in new window/tab
    Table: 36-10-0639-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Monthly credit aggregates for the household sector, by category.

    Release date: 2026-05-20
  • 10. Credit liabilities of private non-financial corporations - Open in new window/tab
    Table: 36-10-0640-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Monthly credit aggregates for the private non-financial corporations sector, by category.

    Release date: 2026-05-20
Data (13,239)

Data (13,239) (13,230 to 13,240 of 13,239 results)

  • 13,231. 1991 Census: Profile of Census Divisions and Subdivisions - Part A - Open in new window/tab Archived
    Table: 95F0168X
    Description:

    The "Profiles" series provides a statistical overview of various census geographic areas. Part A provides basic demographic, mother tongue, dwelling, household and family data collected from all households, that is, on a 100% basis.

    Release date: 1992-09-15
  • 13,232. 1991 Census: Profile of Census Tracts - Part A - Open in new window/tab Archived
    Profile of a community or region: 95F0171X
    Description:

    The "Profiles" series provides a statistical overview of various census geographic areas. Part A provides basic demographic, mother tongue, dwelling, household and family data collected from all households, that is, on a 100% basis.

    Release date: 1992-09-15
  • 13,233. 1991 Census: Profile of Enumeration Areas - Part A - Open in new window/tab Archived
    Profile of a community or region: 95F0173X
    Description:

    The "Profiles" series provides a statistical overview of various census geographic areas. Part A provides basic demographic, mother tongue, dwelling, household and family data collected from all households, that is, on a 100% basis.

    Release date: 1992-09-15
  • 13,234. Bilingualism and earnings - Open in new window/tab Archived
    Table: 75-001-X19890022277
    Description:

    This study compares the earnings of bilingual and unilingual workers in three urban centres: Montreal, Toronto and Ottawa-Hull. Differences in the earnings of bilingual and unilingual workers are considered in the light of several demographic and job-related traits.

    Release date: 1989-06-30
Analysis (10,756)

Analysis (10,756) (200 to 210 of 10,756 results)

  • 201. Deaths 2024 - Open in new window/tab
    Stats in brief: 11-001-X202601333783
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-01-13
  • 202. Health-adjusted life expectancy in Canada: Recent trends at birth and age 65 years 2019, 2020 and 2023 - Open in new window/tab
    Stats in brief: 11-001-X202600940732
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-01-09
  • 203. Statistics Canada: Road to Accessibility - Open in new window/tab
    Articles and reports: 13-26-0004
    Description: StatCan's accessibility plan aims to ensure that all StatCan and Statistical Survey Operations employees are supported in a barrier-free environment, with their accessibility needs met. Statistics Canada: Road to Accessibility 2023-25 is intended to be evergreen. As we make progress toward achieving an accessible and inclusive StatCan, our actions and commitments will change and evolve, and the Plan will be updated to ensure a continued and relevant focus on the areas needing it most.
    Release date: 2025-12-23
  • 204. Effects of model misspecification on small area estimators - Open in new window/tab
    Articles and reports: 12-001-X202500200001
    Description: Nested error regression models are commonly used to incorporate unit specific auxiliary variables to improve small area estimates. When the mean structure of the model is misspecified, the design-based mean squared prediction error (MSPE) of Empirical Best Linear Unbiased Predictors (EBLUP) generally increases. The Observed Best Prediction (OBP) method has been proposed with the intent to improve on the design-based MSPE over EBLUP. In this paper, we conduct a Monte Carlo simulation experiments to understand the effect of misspsecification of mean structures on different small area estimators. Our findings suggest that the OBP using unit-level auxiliary variables does not outperform the EBLUP in terms of design-based MSPE, unless the number of small areas m is extremely large. Conversely, the performance of OBP significantly improves when area-level auxiliary variables are employed. This paper includes both analytical and numerical evidence to demonstrate these observations, providing practical insights for addressing model misspecification in small area estimation (SAE).
    Release date: 2025-12-23
  • 205. Who’s asking? Interviewer effects on unit nonresponse in the Household Finance and Consumption Survey - Open in new window/tab
    Articles and reports: 12-001-X202500200002
    Description: This study examines interviewer effects on household nonresponse in three waves of the Household Finance and Consumption Survey (HFCS) in Austria using a multilevel model. Addressing nonresponse at its source is crucial for maintaining survey data quality and representativeness. Our findings indicate that the variation in response behavior explained by interviewer effects decreased from about one-third in the first wave to 7% in the third wave. Effective interviewers tend to have a university degree, be married, homeowners, and have a larger workload. Additionally, higher mean wages in the household’s municipality negatively affect survey participation. These insights suggest targeted interviewer selection and training strategies to improve response rates.
    Release date: 2025-12-23
  • 206. Estimating monthly indicators for Consumer Confidence using Structural Time Series Models - Open in new window/tab
    Articles and reports: 12-001-X202500200003
    Description: In this paper a model-based inference procedure based on a multivariate structural time series model is developed for the production of monthly figures about consumer confidence. The input for the model are five series of direct estimates for the indices that measure consumer confidence, which are derived from the Dutch Consumer Survey. The model improves the accuracy of the direct estimates, since it provides a better separation of measurement errors and sampling errors from estimated target parameters. The standard errors for the month-to-month changes are clearly smaller under the time series model. A second problem addressed in this paper is related to the transition to a new survey process in 2017. Structural time series models in combination with a parallel run are applied to estimate discontinuities induced by the redesign. An algorithm designed for the consumer confidence variables is developed to construct uninterrupted input series for the aforementioned structural time series model. This inference method facilitated a smooth transition to a new survey design and resulted in uninterrupted series about consumer confidence that date back to 1986. The method is implemented for the production of official monthly figures on consumer confidence in the Netherlands.
    Release date: 2025-12-23
  • 207. Collinearity diagnostics in generalized linear models fitted with survey data - Open in new window/tab
    Articles and reports: 12-001-X202500200004
    Description: The class of generalized linear models (GLM) is a flexible generalization of ordinary least squares regression that allows the linear model to be related to the response variable via a link function and assumes the magnitude of the variance of each measurement to be a function of its predicted value. Multicollinearity in GLMs can inflate variances of the estimated coefficients and cause poor prediction in certain regions of the regression space. It may also cause a nonsignificant Wald statistic even when the predictors are highly predictive in a model of the family of GLMs. Little previous research has closely investigated the diagnostics of multicollinearity in GLMs, especially when complex survey data are used. In this paper, we develop variance inflation factors (VIFs) that measure the amount that the variance of a parameter estimator is increased due to multicollinearity in GLMs. We also extend VIFs and condition indexes to apply to complex survey data, accounting for design features, e.g. weights, clusters, and strata. Illustrations of these methods are given using data from a household survey of health and nutrition.
    Release date: 2025-12-23
  • 208. Quantile balancing inverse probability weighting for non-probability samples - Open in new window/tab
    Articles and reports: 12-001-X202500200005
    Description: The use of non-probability data sources for statistical purposes and for official statistics has become increasingly popular in recent years. However, statistical inference based on non-probability samples is made more difficult by nature of their biasedness and lack of representativity. In this paper we propose quantile balancing inverse probability weighting estimator (QBIPW) for non-probability samples. We apply the idea of Harms and Duchesne (2006) allowing the use of quantile information in the estimation process to reproduce known totals and the distribution of auxiliary variables. We discuss the estimation of the QBIPW probabilities and its variance. Our simulation study has demonstrated that the proposed estimators are robust against model mis-specification and, as a result, help to reduce bias and mean squared error. Finally, we applied the proposed methods to estimate the share of job vacancies aimed at Ukrainian workers in Poland using an integrated set of administrative and survey data about job vacancies.
    Release date: 2025-12-23
  • 209. Quality indicators for representation in administrative data - Open in new window/tab
    Articles and reports: 12-001-X202500200006
    Description: National Statistical Institutes (NSIs) are directing resources into advancing the use of administrative data in official statistics. Administrative data, however, are not developed for the purpose of producing statistics rather as a result of an event or transaction relating to administrative procedures of organizations, public administrations and government agencies. Therefore, it is essential to check the quality of the administrative data with respect to sources of error, particularly representativeness to the target population. In this paper, we utilize the strength of probability-based reference samples or censuses that can be used to detect the lack of representativeness in administrative data and introduce quality indicators based on distance metrics and representativity indicators (R-indicators). We demonstrate their application with a simulation study and discuss a real application applied on a UK Office for National Statistics (ONS) administrative dataset.
    Release date: 2025-12-23
  • 210. Integrating probability and non-probability samples through deep learning-based mass imputation - Open in new window/tab
    Articles and reports: 12-001-X202500200007
    Description: Although probability samples have been regarded as the gold standard to collect information for population-based study, non-probability samples have been used frequently in practice due to low cost, convenience, and the lack of the sampling frame for the survey. Naïve estimates based on non-probability samples without any adjustments may be misleading due to selection bias. Recently, a valid data integration approach that includes mass imputation, propensity score weighting, and calibration has been used to improve the representativeness of non-probability samples. The effectiveness of the mass imputation approach depends on the underlying model assumptions. In this paper, we propose using deep learning for the mass imputation in the combining of probability and non-probability samples and compare it with several modern machine learning-based mass imputation approaches, including generalized additive modeling, regression tree, random forest, and XG-boosting. In the simulation study, deep learning-based approaches have been shown to be more robust and effective than other mass imputation approaches against the failure of underlying model assumptions under non-linearity scenarios.
    Release date: 2025-12-23
Reference (2,027)

Reference (2,027) (2,020 to 2,030 of 2,027 results)

Other (1)

Other (1) ((1 result))

  • 1. Data Visualization: Best Practices - Open in new window/tab
    89-26-0005
    Description: This document provides best practices in data visualization for basic charts. A data visualization product can be created with very different goals and for different audiences with a wide range of expertise. General information applicable to any data visualization product is provided, as well as detailed information for data visualization by chart. This report covers 5 different categories of charts, and presents graphs from the following 5 general categories: pie charts, bar charts, point charts, line charts and maps.
    Release date: 2023-02-24

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