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  • Articles and reports: 75F0002M2026002
    Description: To ensure the continued accuracy and quality of income statistics, the Canadian Income Survey (CIS) periodically revises its estimates to incorporate the most recent data from the Census of Population. Given the interconnectedness of the CIS and the Labour Force Survey (LFS), the CIS population-based revisions typically follow shortly after similar revisions are done to the LFS. Accordingly, with the release of the CIS 2024 data, Statistics Canada has revised estimates for 2018 to 2023 using population counts based on the 2021 Census. This paper presents a comparison between revised and unrevised estimates for key income series, and describes other modifications made to CIS variables.
    Release date: 2026-05-20

  • 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

  • Stats in brief: 11-001-X202611911361
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2026-04-29

  • Stats in brief: 11-001-X20253046581
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2025-10-31

  • Articles and reports: 11-522-X202500100022
    Description: In Canada, T1 Tax forms are used to report personal income, whether earned as an employee or through self-employment. Income from self-employment, or "T1 Business Income" is reported by sole proprietorships or partnerships. A T1 partnership involves two or more legal entities jointly filing for a shared business. T1 business data is received as individual filings, meaning partnerships are received separately for each partner. Internal record linkage within the T1 business database is performed to identify partnerships and prevent overcoverage within the final population of T1 businesses. This new T1 partnership identification process takes advantage of newer algorithms, such as DBSCAN numerical clustering fuzzy matching, to identify internal linkages. Graph theory is used to construct the list of partnerships from the row-pairs identified in the linkage process.
    Release date: 2025-09-08

  • Stats in brief: 11-001-X202519937307
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2025-07-18

  • Stats in brief: 11-627-M2025020
    Description: This infographic presents some highlights from the 2023 Canadian Income Survey data.
    Release date: 2025-05-01

  • Articles and reports: 36-28-0001202500400002
    Description: Obtaining a postsecondary education is an important factor in long-term labour market success and a key mechanism for achieving intergenerational income mobility. Previous research ending in 2014 documented substantial gaps in postsecondary enrolment rates between higher- and lower-income youth. The purpose of this short article is to update the results with more recent data from 2001 to 2022.
    Release date: 2025-04-23

  • Stats in brief: 11-001-X20250913548
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2025-04-01

  • Stats in brief: 11-627-M2025011
    Description: Using data from the 2021 Census, this infographic explores disparities in access to different sources of income for individuals aged 65 and older. The study adopts an intersectional approach, taking into account factors such as age, gender, immigration status, and generational status.
    Release date: 2025-02-03
Reference (71)

Reference (71) (60 to 70 of 71 results)

  • Surveys and statistical programs – Documentation: 75F0002M1995017
    Description:

    This paper presents comments from a sample of interviewers from each regional office who were selected to complete a debriefing questionnaire to evaluate the Survey of Labour and Income Dynamics (SLID) 1995 income interview.

    Release date: 1995-12-30

  • Surveys and statistical programs – Documentation: 5161
    Description: The purpose of the survey is to develop indicators to gauge the ability of families to satisfy basic material needs such as food, clothing, housing as well as social needs of participation and leisure.

  • Surveys and statistical programs – Documentation: 5200
    Description: The Canadian Income Survey (CIS) is a cross-sectional survey developed to provide a portrait of the income and income sources of Canadians, with their individual and household characteristics.

  • Surveys and statistical programs – Documentation: 5206
    Description: The purpose of the survey is to provide information to the Government of Canada on the economic well-being of Canadian households. The data will be used to assess the needs of households in Canada.

  • Surveys and statistical programs – Documentation: 3501
    Description: The purpose of this survey was to provide data for estimating income distributions by size for individuals and families.

  • Surveys and statistical programs – Documentation: 3502
    Description: This survey was conducted to provide data on cross-sectional income for the Canadian population and data on low income families in Canada.

  • Surveys and statistical programs – Documentation: 3508
    Description: The main purpose of the survey is to obtain detailed information about household spending as well as limited information on dwelling characteristics and household equipment.

  • Surveys and statistical programs – Documentation: 3889
    Description: At the heart of the survey's objectives is the understanding of the economic well-being of Canadians: what economic shifts do individuals and families live through, and how does it vary with changes in their paid work, family make-up, receipt of government transfers or other factors?

  • Surveys and statistical programs – Documentation: 4105
    Description: This activity is conducted for the development and dissemination of annual small area income data for Canadians.

  • Surveys and statistical programs – Documentation: 4107
    Description: The Longitudinal Administrative Databank (LAD) is a longitudinal file designed as a research tool on income and demographics.