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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) (13,290 to 13,300 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) (20 to 30 of 2,031 results)

  • Surveys and statistical programs – Documentation: 91-528-X
    Description: The Technical Guide on Demographic Estimates at Statistics Canada provides detailed descriptions of the most current data sources and methods used by the Centre for demography at Statistics Canada to produce demographic estimates as part of the Demographic estimates program. They comprise postcensal and intercensal population estimates; base population; births and deaths; immigrants; emigrants; returning emigrants; non-permanent residents; interprovincial migration; subprovincial estimates of population and intraprovincial migration; population estimates by age and gender; and census family estimates. A glossary of commonly used terms is available at the end of the guide.
    Release date: 2025-12-17

  • Surveys and statistical programs – Documentation: 37-20-00012025003
    Description: This technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are based on the longitudinal Postsecondary Student Information System (PSIS) administrative data files. Statistics Canada has derived a series of annual indicators of public postsecondary students including persistence rates, graduation rates, and average time to graduation by educational qualification, field of study, age group and gender for Canada, the provinces, and the three combined Territories.
    Release date: 2025-12-17

  • Surveys and statistical programs – Documentation: 62F0014M2025008
    Description: This technical guide describes the methodological details for the  Telecommunications Services Producer Price Indexes (TSPPI). The document includes information about the purpose of the index, index coverage, data source and availability, pricing methodology, and limitations.
    Release date: 2025-12-17

  • Surveys and statistical programs – Documentation: 11-633-X2025004
    Description: The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 40 years.
    Release date: 2025-12-08

  • Classification: 65-209-X
    Description: The Canadian Export Classification is a structured, hierarchical classification system based on the Harmonized Description and Coding System. The HS nomenclature is divided into 21 Sections, which in general, group goods produced in the same sector of the economy.
    Release date: 2025-12-04

  • Surveys and statistical programs – Documentation: 62F0072G
    Description: The Post Indexes are a collection of spatial price indexes for Government of Canada staff posted abroad that compare the cost of purchasing a fixed basket of goods and services between the post locations and Ottawa. These indexes are constructed as part of Foreign Service Directive 55.
    Release date: 2025-11-25

  • Classification: 68-516-X
    Description: This product presents the Public Sector Universe, defined by Statistics Canada as a list of institutional units that are included in the economic measurement of governments in Canada. An institutional unit is defined as an economic entity that is capable, in its own right, of owning assets, incurring liabilities, and engaging in economic activities and in transactions with other entities. It includes the sectors of education, health, general government and government business enterprise sectors for all levels of government in Canada, annually, since 2008.
    Release date: 2025-11-21

  • Geographic files and documentation: 16-510-X2024003
    Description: This product contains gridded datasets of annual estimates of average normalized difference vegetation index (NDVI) and green/grey classification.

    "Urban greenness" is a measure that assesses the condition and health of an urban landscape. Vegetation contributes to more livable, beautiful communities by helping to clean the air, moderate the local climate, control water flow and provide habitats for wildlife.

    Annual average normalized difference vegetation index datasets and annual green/grey classifications are available for the years 2000 to 2025 and cover Canada south of 60°N.
    Release date: 2025-11-17

  • Geographic files and documentation: 16-510-X2025006
    Description: This product contains specifications intended for users of the urban greenness geospatial files. This document provides important technical information for users and links to methodology.
    Release date: 2025-11-17

  • Surveys and statistical programs – Documentation: 89-657-X2025002
    Description: The Survey on the Official Language Minority Population (SOLMP) user guide contains a description of the survey, along with survey concepts and definitions and an overview of the content development. The target and survey populations, the sample design and sample size are described in the Methodology section, while the Data Collection module provides the collection period and instrument, modes of collection, collection and communications strategies and response rates.

    Updates to the guide include descriptions of the survey data processing, survey error and weighting, and guidelines for tabulations and analysis. Appendices will provide a listing of questions and variables which changed between the current and previous occasions of the survey, as well as various primers on the survey methodology.
    Release date: 2025-11-14