Analysis

Skip to filters. View results.

View results

Filter results by

Search Help
Currently selected filters that can be removed

Keyword(s)

Subject

Year of publication

33 facets displayed. 0 facets selected.

Author(s)

79 facets displayed. 0 facets selected.

Survey or statistical program

61 facets displayed. 0 facets selected.

Content

1 facets displayed. 0 facets selected.
Sort Help
entries

Results

All (223)

All (223) (0 to 10 of 223 results)

  • 1. Differences in employment rates between immigrants with disabilities and Canadian-born persons with disabilities, 2022 to 2024
    Articles and reports: 36-28-0001202600700001
    Description: This study examines differences in employment rates between immigrants with disabilities and Canadian-born persons with disabilities, using pooled data from the Labour Force Survey (January 2022 to December 2024) and the supplementary Disability Labour Market Indicators. The analysis focuses on persons aged 18 to 64 years and compares employment rates across levels of education.
    Release date: 2026-07-22
  • 2. Exploring the use of Canada Border Services Agency's Entry and Exit Data for Demographics Estimates
    Articles and reports: 91F0015M2026002
    Description: Statistics Canada acquired Entry and Exit data from the Canadian Border Services Agency (CBSA). This data could enable many development projects related to demographic estimates. This report discusses the potential of this new source of data to refine the measurement of some of the demographic estimates program’s components.
    Release date: 2026-04-29
  • 3. Retirement and post-retirement employment among older Canadians
    Articles and reports: 75-006-X202600200004
    Description: Using data from the Labour Force Survey and the Survey of Financial Security, this study examines trends in the number of retirements over time, as well as changes in post-retirement employment among older Canadians. Reasons for retirement, as well as selected sociodemographic characteristics associated with working after retirement, are also explored.
    Release date: 2026-04-09
  • 4. Generalized regression estimation under misspecified sample design
    Articles and reports: 12-001-X202500200008
    Description: Classical design-based survey estimation relies on a properly specified sampling design for valid inference. We consider the properties of regression estimation under a misspecified sample design, in which the nominal and true inclusion probabilities do not necessarily match. This general misspecified sample design setting encompasses many challenges in the modern survey environment. Under this setting, an asymptotic analysis of the regression estimator, an expression of the bias, and an expression of the variance are presented. Further, a consistent variance estimator is derived and an expression which estimates the bias in-part or in-whole is discussed. This later expression may be used as an indicator of the presence of bias due to misspecification by a practitioner. A simulation study is conducted to support the presented theory.
    Release date: 2025-12-23
  • 5. Education Indicators in Canada: Report of the Pan-Canadian Education Indicators Program, October 2025 Archived
    Articles and reports: 81-582-X2025002
    Description: The Pan-Canadian Education Indicators Program (PCEIP) draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. PCEIP products include tables, fact sheets, reports, a data visualization dashboard and a methodological handbook. They present indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. The Pan-Canadian Education Indicators Program (PCEIP) is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.
    Release date: 2025-10-24
  • 6. Practical Applications of Synthetic Data Generation Archived
    Articles and reports: 11-522-X202500100001
    Description: Synthetic data generation (SDG) is increasingly applied across sectors for privacy-preserving data sharing, de-biasing and augmentation. Each use case requires a distinct set of evaluation metrics that must account for the stochasticity of the SDG process: membership and attribute disclosure vulnerability are critical for privacy; fidelity and downstream task utility apply more broadly; and fairness and diversity are relevant for de-biasing and augmentation, respectively. Presenting accumulated evidence and through exemplar case studies, it is shown that SDG can perform well across many of these use cases and our key learnings from our experiences with synthetic health data are shared.
    Release date: 2025-09-08
  • 7. In-Person Survey Data Collectors: Looking to the Future Archived
    Articles and reports: 11-522-X202500100003
    Description: In-person data collection is critical for the success of many large government-sponsored surveys. Despite response rate declines and increasing costs, the mode remains the gold standard for meeting the most rigorous survey requirements for federal survey programs, particularly as part of a multimode data collection strategy (Schober, 2018). However, over the last ten years critical labor market and workforce changes, exacerbated by the pandemic, have made in-person data collection efforts prohibitive for all but the largest survey organizations. Shifting ideas about job flexibility and job satisfaction alongside the increasingly technical role and demanding nature of the job have impacted recruitment and retention for survey organizations across the U.S. and Europe (Charman et al., 2024). The trends in U.S. field data collector employment are summarized and it is outlined that there are promising practices in recruiting and retaining high quality field data collectors. Additionally, broader ways to structure the field data collector labor force for continued success are considered, including supplementing field data collection with multimode alternatives such as video interviewing and updating value propositions for respondents.
    Release date: 2025-09-08
  • 8. Life in the FastText Lane: Harnessing Linear Programming Constrained Machine Learning for Classifications Revision Archived
    Articles and reports: 11-522-X202500100010
    Description: Statistics Canada's Labour Force Survey (LFS) plays an essential role in the estimation of labour market conditions in Canada. Periodically, LFS revises its data to the most recent industry and occupational classification versions. Differences in versions can be extensive, including high-level and unit-group structural changes, creations, deletions, split-offs and combination of classification units (classes). Historically, to reconcile split-off classes - where one class splits into multiple classes - a sample of LFS split-off records would be manually recoded to the new classification version. Based on the split-off proportion observed in the recoded sample, a random allocation method would be applied on all data to reflect the changing Canadian labour market over time. This article proposes using machine learning (fastText), constrained to split-off proportions using linear programming, to revise industry and occupation classifications in LFS. The hybrid framework benefits from a text-based revision mechanism while adhering to traditional proportions driven estimates, thus ensuring a minimal impact on the comparability of published labour market indicators.
    Release date: 2025-09-08
  • 9. Characteristics of cost-related avoidance of oral health services among people in Canada eligible for the Canadian Dental Care Plan
    Articles and reports: 82-003-X202500800002
    Description: Cost and lack of dental insurance coverage are major obstacles to accessing dental care in Canada. This study estimates the prevalence and explores the characteristics of cost-related avoidance of oral health services among a nationally representative sample of people in Canada aged 12 and older who might qualify for coverage under the Canadian Dental Care Plan.
    Release date: 2025-08-20
  • 10. Paid leave entitlement, 2024
    Articles and reports: 14-28-0001202500100004
    Description: In the publication Quality of Employment in Canada, the paid leave entitlement indicator is the number of employees aged 15 and older who report having access to paid vacation leave in their main job, expressed as a percentage of all employees.
    Release date: 2025-08-18
Stats in brief (15)

Stats in brief (15) (0 to 10 of 15 results)

  • 1. Pedestrian Fatalities in Canada, 2018 to 2020 Archived
    Stats in brief: 11-627-M2023059
    Description: This infographic presents information on pedestrian fatalities collected from the Canadian Coroner and Medical Examiner Database (CCMED). This infographic illustrates demographic profile of the deceased such as sex and age. The product also summarizes information on select circumstances surrounding pedestrian fatalities.
    Release date: 2023-10-30
  • 2. Stats are on the menu! Canada’s restaurant industry Archived
    Stats in brief: 11-627-M2021025
    Description:

    This infographic highlights a selection of statistics on restaurants, bars and caterers in Canada.

    Release date: 2021-03-25
  • 3. Mental Health Status of Canadian Immigrants During the COVID-19 Pandemic Archived
    Stats in brief: 45-28-0001202000100050
    Description:

    This analytical article describes results from the crowdsourced survey "Impacts of COVID-19 on Canadians: Your mental health" with a focus on the mental health of immigrants during the COVID-19 pandemic. More specifically, this article explores the effects of social distancing on mental health, how the pandemic affects the symptoms of anxiety, and how perceived job and financial security affects mental health. This article also discuss the mental health differences between recent immigrants, established immigrants and Canadian born.

    Release date: 2020-07-14
  • 4. Inorganic-related arsenic concentrations in Canadians, 2014 and 2015 Archived
    Stats in brief: 82-625-X201800154918
    Description:

    Cycle 4 (2014 and 2015) of the Canadian Health Measures Survey (CHMS), measured the concentrations of the inorganic-related arsenic species (arsenate, arsenite, DMA and MMA) in the urine of approximately 2500 Canadians aged 3 to 79. Results were reported in micrograms of arsenic per litre (µg As/L).

    Release date: 2018-02-22
  • 5. Paraben concentrations in Canadians, 2014 and 2015 Archived
    Stats in brief: 82-625-X201800154919
    Description:

    In 2014 and 2015, the Canadian Health Measures Survey (CHMS) measured the concentrations of parabens (including methyl paraben, ethyl paraben, propyl paraben, and butyl paraben) in the urine of approximately 2500 Canadians aged 3 to 79. Results were reported in micrograms per litre (µg/L).

    Release date: 2018-02-22
  • 6. Age-specific patterns in the incidence of, and survival from, pancreatic cancer in Canada Archived
    Stats in brief: 82-624-X201700114799
    Description:

    This article examines age-specific patterns in the national rates of newly diagnosed cases of pancreatic cancer. Age-specific measures of survival from pancreatic cancer are also examined.

    Release date: 2017-04-26
  • 7. Updating the standard population and its effect on cancer incidence and mortality rates Archived
    Stats in brief: 82-624-X201600114667
    Description:

    This article describes the impact on age-standardized cancer incidence and mortality rates of an update to the standard population used to derive them. The impact is assessed by cancer type and by province for 2012, and on trends in cancer rates from 1992 to 2012. Data are from the Canadian Cancer Registry and the Canadian Vital Statistics – Death Database.

    Release date: 2016-10-20
  • 8. Scientific and Technological Activities of Provincial Governments and Provincial Research Organizations, 2003/2004 to 2007/2008 Archived
    Stats in brief: 88-001-X200900711026
    Description:

    The information in this document is intended primarily to be used by scientific and technological (S&T) policy makers, both federal and provincial, largely as a basis for inter-provincial and inter-sectoral comparisons. The statistics are aggregates of the provincial government and provincial research organization science surveys conducted by Statistics Canada under contract with the provinces, and cover the period 2002/2003 to 2006/2007.

    Release date: 2009-11-20
  • 9. Industrial research and development, 2004 to 2008 Archived
    Stats in brief: 88-001-X200800510678
    Description:

    This service bulletin contains historical and current data on research and development (R&D) expenditures and personnel in Canada, by industry. In Canada, the industrial or business enterprise sector is the largest R&D performer.

    Release date: 2008-09-05
  • 10. Estimates of research and development expenditures in the higher education, 2006/2007 Archived
    Stats in brief: 88-001-X200800410668
    Description:

    The higher education sector is composed of all universities, colleges of technology and other institutes of postsecondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of, or administered by, or associated with higher education establishments.

    Release date: 2008-08-14
Articles and reports (205)

Articles and reports (205) (0 to 10 of 205 results)

  • 1. Differences in employment rates between immigrants with disabilities and Canadian-born persons with disabilities, 2022 to 2024
    Articles and reports: 36-28-0001202600700001
    Description: This study examines differences in employment rates between immigrants with disabilities and Canadian-born persons with disabilities, using pooled data from the Labour Force Survey (January 2022 to December 2024) and the supplementary Disability Labour Market Indicators. The analysis focuses on persons aged 18 to 64 years and compares employment rates across levels of education.
    Release date: 2026-07-22
  • 2. Exploring the use of Canada Border Services Agency's Entry and Exit Data for Demographics Estimates
    Articles and reports: 91F0015M2026002
    Description: Statistics Canada acquired Entry and Exit data from the Canadian Border Services Agency (CBSA). This data could enable many development projects related to demographic estimates. This report discusses the potential of this new source of data to refine the measurement of some of the demographic estimates program’s components.
    Release date: 2026-04-29
  • 3. Retirement and post-retirement employment among older Canadians
    Articles and reports: 75-006-X202600200004
    Description: Using data from the Labour Force Survey and the Survey of Financial Security, this study examines trends in the number of retirements over time, as well as changes in post-retirement employment among older Canadians. Reasons for retirement, as well as selected sociodemographic characteristics associated with working after retirement, are also explored.
    Release date: 2026-04-09
  • 4. Generalized regression estimation under misspecified sample design
    Articles and reports: 12-001-X202500200008
    Description: Classical design-based survey estimation relies on a properly specified sampling design for valid inference. We consider the properties of regression estimation under a misspecified sample design, in which the nominal and true inclusion probabilities do not necessarily match. This general misspecified sample design setting encompasses many challenges in the modern survey environment. Under this setting, an asymptotic analysis of the regression estimator, an expression of the bias, and an expression of the variance are presented. Further, a consistent variance estimator is derived and an expression which estimates the bias in-part or in-whole is discussed. This later expression may be used as an indicator of the presence of bias due to misspecification by a practitioner. A simulation study is conducted to support the presented theory.
    Release date: 2025-12-23
  • 5. Education Indicators in Canada: Report of the Pan-Canadian Education Indicators Program, October 2025 Archived
    Articles and reports: 81-582-X2025002
    Description: The Pan-Canadian Education Indicators Program (PCEIP) draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. PCEIP products include tables, fact sheets, reports, a data visualization dashboard and a methodological handbook. They present indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. The Pan-Canadian Education Indicators Program (PCEIP) is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.
    Release date: 2025-10-24
  • 6. Practical Applications of Synthetic Data Generation Archived
    Articles and reports: 11-522-X202500100001
    Description: Synthetic data generation (SDG) is increasingly applied across sectors for privacy-preserving data sharing, de-biasing and augmentation. Each use case requires a distinct set of evaluation metrics that must account for the stochasticity of the SDG process: membership and attribute disclosure vulnerability are critical for privacy; fidelity and downstream task utility apply more broadly; and fairness and diversity are relevant for de-biasing and augmentation, respectively. Presenting accumulated evidence and through exemplar case studies, it is shown that SDG can perform well across many of these use cases and our key learnings from our experiences with synthetic health data are shared.
    Release date: 2025-09-08
  • 7. In-Person Survey Data Collectors: Looking to the Future Archived
    Articles and reports: 11-522-X202500100003
    Description: In-person data collection is critical for the success of many large government-sponsored surveys. Despite response rate declines and increasing costs, the mode remains the gold standard for meeting the most rigorous survey requirements for federal survey programs, particularly as part of a multimode data collection strategy (Schober, 2018). However, over the last ten years critical labor market and workforce changes, exacerbated by the pandemic, have made in-person data collection efforts prohibitive for all but the largest survey organizations. Shifting ideas about job flexibility and job satisfaction alongside the increasingly technical role and demanding nature of the job have impacted recruitment and retention for survey organizations across the U.S. and Europe (Charman et al., 2024). The trends in U.S. field data collector employment are summarized and it is outlined that there are promising practices in recruiting and retaining high quality field data collectors. Additionally, broader ways to structure the field data collector labor force for continued success are considered, including supplementing field data collection with multimode alternatives such as video interviewing and updating value propositions for respondents.
    Release date: 2025-09-08
  • 8. Life in the FastText Lane: Harnessing Linear Programming Constrained Machine Learning for Classifications Revision Archived
    Articles and reports: 11-522-X202500100010
    Description: Statistics Canada's Labour Force Survey (LFS) plays an essential role in the estimation of labour market conditions in Canada. Periodically, LFS revises its data to the most recent industry and occupational classification versions. Differences in versions can be extensive, including high-level and unit-group structural changes, creations, deletions, split-offs and combination of classification units (classes). Historically, to reconcile split-off classes - where one class splits into multiple classes - a sample of LFS split-off records would be manually recoded to the new classification version. Based on the split-off proportion observed in the recoded sample, a random allocation method would be applied on all data to reflect the changing Canadian labour market over time. This article proposes using machine learning (fastText), constrained to split-off proportions using linear programming, to revise industry and occupation classifications in LFS. The hybrid framework benefits from a text-based revision mechanism while adhering to traditional proportions driven estimates, thus ensuring a minimal impact on the comparability of published labour market indicators.
    Release date: 2025-09-08
  • 9. Characteristics of cost-related avoidance of oral health services among people in Canada eligible for the Canadian Dental Care Plan
    Articles and reports: 82-003-X202500800002
    Description: Cost and lack of dental insurance coverage are major obstacles to accessing dental care in Canada. This study estimates the prevalence and explores the characteristics of cost-related avoidance of oral health services among a nationally representative sample of people in Canada aged 12 and older who might qualify for coverage under the Canadian Dental Care Plan.
    Release date: 2025-08-20
  • 10. Paid leave entitlement, 2024
    Articles and reports: 14-28-0001202500100004
    Description: In the publication Quality of Employment in Canada, the paid leave entitlement indicator is the number of employees aged 15 and older who report having access to paid vacation leave in their main job, expressed as a percentage of all employees.
    Release date: 2025-08-18
Journals and periodicals (3)

Journals and periodicals (3) ((3 results))

  • 1. Cornerstones of Community: Highlights from the National Survey of Nonprofit and Voluntary Organizations Archived
    Journals and periodicals: 61-533-X
    Description: This publication provides the first national portrait of the many thousands of nonprofit and voluntary organizations found in every Canadian community. The data, from the National Survey of Nonprofit and Voluntary Organizations, reveal a set of organizations that are widely diverse in nature, touching virtually every aspect of Canadians' lives.
    Release date: 2005-06-30
  • 2. Summary of the Findings of the National Survey of Nonprofit and Voluntary Organizations Archived
    Journals and periodicals: 61-533-S
    Geography: Canada
    Description: This booklet summarizes the key results of the first National Survey of Nonprofit and Voluntary Organizations. These organizations have a significant economic presence and serve as vehicles for citizen engagement. However, many report significant challenges to their capacity to fulfill their missions.
    Release date: 2005-03-11
  • 3. Beyond the Information Highway Networked Canada (Information and Communications Technologies (ICT) Compendium) Archived
    Journals and periodicals: 56-504-X
    Geography: Canada
    Description:

    Networked Canada is the first comprehensive compendium to be published by Statistics Canada on the information and communications technologies (ICT) sector. The compendium has been designed as a profile of the information society, focusing on current trends, as well as an historical overview of the growth and development of the Canadian ICT sector industries. The publication contains two main parts. The first provides a statistical overview of the ICT sector on the basis of key economic variables, including production, employment, international trade, revenue and R&D expenditure. A summary of international ICT sector comparisons for selected variables, using recent data published by the Organization for Economic Cooperation and Development (OECD) is also included here. The ever widening use of, and access to ICTs in the home, at work, in schools and by governments is examined in the second part.

    Many different data sources have been used throughout the project, and while all efforts have been made to maximize the amount of data available, it has not been possible in all instances to consistently report for all ICT industries and all relevant variables. The conversion to the new North American Industrial Classification System (NAICS) has largely contributed to these difficulties, and it is expected that a greater range of data will be available once all of the survey programs begin reporting on the basis of this new industry classification.

    Release date: 2001-04-27

Sort Help

How are the results ordered?

The Sort by feature provides four options:

  • By date – sorts results by product release date starting with the most recent.
  • By most popular – gives priority to results that are most frequently selected by users, followed by the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Sort Help

How are the results ordered?

The Sort by feature provides three options:

  • By date – sorts results by product release date starting with the most recent.
  • By relevance is only needed or beneficial when you use the search box and submit a search query. Results are ordered by a combination of where the search term appears in the content, e.g., if it appears in the title, it likely means the product is more relevant to your search; how up to date or new the content in the product is; how popular the product is; and other factors.
  • By title – sorts results alphabetically.

Search Help

How do I use the filters and the search box?

  • You can initiate a search by entering keywords or selecting filters (e.g., under Subject, Geography, etc.) on the left side of the page.

  • Filters can be used together or in any combination. Each time you select a filter, the results on the page are updated.

  • To start a new search, click on the Clear all button above the search box or deselect each filter.

  • Specified keywords and filters appear above the search box. You can deselect any or all the tags to refine or clear your search.

How do I refine my search?

  • You can enter keywords in the search box. It is not necessary to use “+” or “, “ or “AND”.

  • You can delete some or all of the keywords from your search string.

  • Quotes around keywords limit the search to a specific phrase.

    • For example, “labour force survey” will limit results to products containing this phrase.

  • Use “or” between keywords to obtain results that contain one or more search terms.

    • For example, labour or­ force or survey will limit results to products containing any or all of these words.

How does the search work?

  • This search looks for results that have your query term in the title, description, subject, geography, product number or other information about the product.

    • For example, when searching the term ‘Diseases’, all results with the word ‘Diseases’ in the title, description or tagged the subject appear.

  • The text within an article or publication are not searched. For full text searching of articles, use the site search.

Date modified: