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Survey or statistical program

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All (26,688) (0 to 10 of 26,688 results)

  • Table: 36-10-0448-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly other changes in assets account data, for the household, non-profit institutions serving households, corporations, general governments and non-resident sectors, as well as the total of all sectors by category.
    Release date: 2026-09-11

  • Table: 36-10-0467-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    General government gross domestic and foreign debt, and financial liabilities by category, quarterly.

    Release date: 2026-09-11

  • Table: 36-10-0578-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly Financial Flow Accounts data, for the household, corporations, general governments and non-resident sectors, as well as the total of all sectors and the statistical discrepancy, by category.

    Release date: 2026-09-11

  • Table: 36-10-0579-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    This financial market summary table presents quarterly Financial Flow Accounts data, unadjusted, by category.

    Release date: 2026-09-11

  • Table: 36-10-0580-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly national balance sheet data, for the household, corporations, general governments and non-resident sectors, as well as the total of all sectors and the consolidated national balance sheet, by category, in both market and book value.
    Release date: 2026-09-11

  • Table: 36-10-0668-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly balance sheet of the other financial corporations sector presented on a modified whom-to whom basis at market value according to the Special Data Dissemination Standard Plus (SDDS plus).

    Release date: 2026-09-11

  • Table: 38-10-0234-01
    Geography: Canada
    Frequency: Quarterly
    Description: This credit market summary table presents quarterly national balance sheet account book value data, by category.
    Release date: 2026-09-11

  • Table: 38-10-0235-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly debt to gross domestic product, debt to disposable income and other indicators, for the household sector and the non-profit institutions serving households sector, by category.
    Release date: 2026-09-11

  • Table: 38-10-0236-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly total debt to equity and credit market debt to equity for private non-financial corporations.
    Release date: 2026-09-11

  • Table: 38-10-0237-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly gross and net debt to gross domestic product for federal and other levels of general government.
    Release date: 2026-09-11
Data (13,347)

Data (13,347) (13,320 to 13,330 of 13,347 results)

Analysis (10,840)

Analysis (10,840) (90 to 100 of 10,840 results)

  • Articles and reports: 12-001-X202600100012
    Description: We propose small area estimators of general indicators in off-census years, which avoid the use of deprecated census microdata, but are nearly optimal in census years. The procedure is based on replacing the obsolete census file with a larger unit-level survey that adequately covers the areas of interest and contains the values of useful auxiliary variables. However, the minimal data requirement of the proposed method is a single survey with microdata on the target variable and suitable auxiliary variables for the period of interest. We also develop an estimator of the mean squared error (MSE) that accounts for the uncertainty introduced by the large survey used to replace the census of auxiliary information. Our empirical results indicate that the proposed predictors perform clearly better than the alternative predictors when census data are outdated, and are very close to optimal ones when census data are correct. They also illustrate that the proposed total MSE estimator corrects for the bias of purely model-based MSE estimators that do not account for the large survey uncertainty.
    Release date: 2026-06-29

  • Articles and reports: 12-001-X202600100013
    Description: In the age of big data, nonprobability surveys are becoming increasingly abundant. Data integration techniques involving both probability and nonprobability surveys are being extensively used for providing improved estimates for finite population estimation. While much of the existing research has focused on mitigating selection bias in nonprobability surveys, the issue of measurement error within these surveys remains relatively unexplored. Statistical methods devised with the purpose of reducing selection bias are appropriate for reliable estimation, only under the assumption of accuracy of survey responses. Motivated by a recent case study of Kennedy, Mercer and Lau (2024), our research addresses bias from both measurement and sampling errors in nonprobability surveys. In this article, we propose a new data integration method that uses multiple probability and nonprobability surveys and leverages machine learning models to construct a composite estimator. The proposed composite estimator integrates probability and nonprobability surveys, when both contain response variables of interest. We analyze the performance of this estimator in comparison to an existing composite estimator in literature, analytically as well as empirically, using multiple survey data from Kennedy et al. (2024). Finally, we identify conditions under which the proposed estimator outperforms estimators based solely on probability surveys.
    Release date: 2026-06-29

  • 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

  • Articles and reports: 89-657-X2026006
    Description: This portrait focuses on the analysis of the sociodemographic and socioeconomic outcomes of Latin American populations in Canada. It uses data from the Census of Population (2001 to 2021), the 2011 National Household Survey, and the 2020 General Social Survey – Social Identity. An intersectional approach is applied to explore the relationships between multiple diversity factors, with the aim of providing a comprehensive overview of the diverse characteristics of Latin American populations living in Canada.
    Release date: 2026-06-29

  • Stats in brief: 11-001-X202618041415
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-06-29

  • Stats in brief: 11-001-X20261762896
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-06-25

  • Stats in brief: 11-001-X20261763389
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-06-25

  • Articles and reports: 36-28-0001202600600001
    Description: This study provides an update to a 2021 report that produced novel estimates of the business characteristics, gross domestic product and business dynamics of child care businesses in Canada through 2016. Administrative data on all tax-filing business in Canada are used to identify incorporated businesses, typically representing child care centres, and unincorporated businesses, typically representing home-based child care businesses without employees.
    Release date: 2026-06-24

  • Articles and reports: 36-28-0001202600600002
    Description: The use of renewable energy sources by Canadian households reflects national priorities and international commitments to sustainability. Using data from the 2021 Households and the Environment Survey, this study examines the socioeconomic and dwelling-related characteristics of households that use renewable energy with respect to how adoption is distributed across the population and which groups are likely to adopt alternative energy, offering context for understanding Canada’s progress toward these goals.
    Release date: 2026-06-24

  • Articles and reports: 36-28-0001202600600004
    Description: Canada’s workforce is aging. A critical first step in assessing how workforce aging affects business performance is constructing firm level measures of workforce age. This paper addresses an important gap in the literature by, for the first time, documenting workforce aging at the firm level using detailed measures of the age distribution of workers across the universe of Canadian firms.
    Release date: 2026-06-24
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.