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All (253)

All (253) (0 to 10 of 253 results)

  • Articles and reports: 85-002-X202600100012
    Description: This Juristat article builds on previous work on gender-related homicide in Canada by using multiple linked data sources to examine victim characteristics over a 14-year period (2009 to 2022). Using data linking the Homicide Survey to the Uniform Crime Reporting Survey, it first examines prior police-reported violence among homicide victims before exploring their demographic and socioeconomic profiles using linked data from education, immigration, health, and tax records.
    Release date: 2026-08-05

  • Articles and reports: 16-002-X202600100002
    Description: This article presents data on Indigenous Peoples and their experiences with wildfires, along with spatial data on forest fires and air quality from 2023. The analysis integrates results from the 2024 Survey Series on First Nations People, Métis and Inuit - Emergency Preparedness and Extreme Weather with 2021 Census Indigenous population data, alongside spatial data on forest fires and air quality from 2023. This analytical article uses maps, charts and tables to show findings, including burned-area estimates and air quality index values, to provide a comprehensive overview of wildfire experiences among Indigenous populations in Canada.
    Release date: 2026-07-28

  • 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

  • Articles and reports: 36-28-0001202600700002
    Description: This study examines disparities between immigrant and Canadian-born families across their wealth distributions, accounting for recency of immigration and life cycle in patterns of wealth accumulation. It examines two questions: are wealth gaps between immigrant and Canadian-born families larger at the lower, middle or upper end of the distribution? And, are there differences in the components of wealth between immigrant and Canadian-born families across the distribution?
    Release date: 2026-07-22

  • Articles and reports: 12-001-X202600100004
    Description: We test the notion that a quasi-probabilistic method of selecting individuals within households (last birthday, LB) draws in a different sample compared to a non-probabilistic approach that selects respondents according to known parameters on age and gender (frequency matching, FM). With data from an original field experiment, we evaluate fieldwork efficiency (time and completed cases), economy (cost), success in recruiting a representative sample, and differences across a set of attitudinal and behavioral measures. We find that the FM approach performs better on efficiency and cost and achieves a comparable sample; importantly, this comparability extends across measures of personality traits and public opinion. With appropriate caveats, we conclude that researchers’ choice of selection methods should be guided by both theoretical benefits and practical tradeoffs.
    Release date: 2026-06-29

  • Articles and reports: 12-001-X202600100007
    Description: National statistical institutes operate sample coordination systems to spread the response burden in business surveys. Despite the applied sample coordination and monitoring the response burden, some businesses might still be heavily sampled within a short period. This may lead to a peaking response burden for individual businesses, which could affect response rates and response quality. This paper proposes a new sample coordination method based on Adapted Spatially Correlated Poisson (ASCP) sampling that focuses on businesses with a high response burden. The effects on the response burden will be evaluated in two simulation studies and compared with a stratified approach, a pragmatic method in which sampling fractions are manually adjusted and with the baseline method of ignoring the response burden. For the simulations, real-world scenarios and data from Statistics Netherlands are used. The first simulation study considers a practical situation in which a given sample is adjusted with the aim to avoid the occurrence of businesses with a peaking response burden. The second simulation study analyzes the longer-term effects of the different sample coordination methods and focuses both on the reduction and spread of the response burden. The advantages and disadvantages of the different methods will be explained and discussed in detail, and recommendations for applying these methods at national statistical institutes and other survey agencies will be given.
    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

  • 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: 11-621-M2026008
    Description: With the proportion of small businesses making up nearly all of the employer businesses in Canada, small businesses are an important role in employing Canadians and are a significant driver towards economic recovery. This article provides insights on the expectations of small businesses as well as the unique conditions faced by these businesses in the second quarter of 2026. It involves an examination of the data produced by the Canadian Survey on Business Conditions.
    Release date: 2026-06-18

  • Articles and reports: 85-002-X202600100010
    Description: This Juristat article presents an analysis of the nature and prevalence of mass casualty events, which are intentional acts of violence where four or more victims sustained some level of physical injury or were killed as part of the same incident. Using police-reported data from the Uniform Crime Reporting Survey, characteristics of incidents, victims and accused persons are discussed. Throughout this article, information about overall violent crime reported by police—where a victim record was provided—is also provided for comparison.
    Release date: 2026-06-18
Stats in brief (19)

Stats in brief (19) (0 to 10 of 19 results)

  • Stats in brief: 11-627-M2026010
    Description: Using data from the Uniform Crime Reporting Survey, this infographic presents police-reported incidents of online child sexual exploitation in Canada from 2014 to 2024. These incidents include online sexual offences against children, such as luring and non-consensual distribution of intimate images, and online child sexual abuse and exploitation material offences.
    Release date: 2026-03-10

  • Stats in brief: 11-627-M2026006
    Description: This infographic provides a recent overview of the commonly reported reasons for which households move from one place to another within Canada, based on the information collected from the 2022 Canadian Housing Survey (CHS). The study provides results by various breakdowns including the type of movement, such as interprovincial and intraprovincial moves.
    Release date: 2026-02-16

  • Stats in brief: 45-20-00032026001
    Description: The Gross Domestic Product (GDP) tells us about the health and size of Canada’s economy. But for those of us who don’t own or operate multi-million-dollar companies, why does it matter at all? In this episode, Amanda Sinclair, Assistant director for the National Economic Accounts at Statistics Canada, explains some surprising ways GDP can be useful and why, for certain Canadian households, the numbers don’t always seem to add up.
    Release date: 2026-02-02

  • Stats in brief: 11-621-M2025016
    Description: Amid ongoing shifts in tariffs, trade regulations and U.S. policy, the Canadian Survey on Business Conditions has remained an important tool for understanding the impact of tariffs on businesses in Canada. Building on analysis from the second and third quarters of 2025, which captured the introduction of newly imposed tariffs, followed by reactions to countermeasures, this paper presents updated findings for the fourth quarter of 2025 from the survey that was conducted from October 1 to November 5, 2025.
    Release date: 2025-12-18

  • Stats in brief: 11-627-M2025055
    Description: Using police-reported data from the Uniform Crime Reporting Survey, this infographic presents data on subsequent contacts with police over a nine-year period for individuals living in rural areas of the Canadian provinces who were accused of a crime in 2014.
    Release date: 2025-12-09

  • Stats in brief: 11-627-M2025005
    Description: This infographic illustrates information on the use at work of the non-official languages spoken by the largest number of people in Canada. This includes the industry in which the language is used by the largest number of people.
    Release date: 2025-03-24

  • Stats in brief: 11-627-M2025003
    Description: This infographic illustrates key findings about French-speaking and English-speaking healthcare professionals residing in Quebec.
    Release date: 2025-03-19

  • Stats in brief: 11-627-M2025006
    Description: This infographic illustrates key findings about French-speaking healthcare professionals residing Canada outside Quebec.
    Release date: 2025-03-19

  • Stats in brief: 11-627-M2025022
    Description: Using a data file linking police-reported data from the Uniform Crime Reporting Survey with court data from the Integrated Criminal Court Survey, this infographic is a visual representation of how online child sexual exploitation incidents reported by police between 2014 and 2021 proceeded through the criminal justice process. Physical assault incidents involving victims aged 17 years and younger are used as a benchmark for comparison.
    Release date: 2025-03-11

  • Stats in brief: 11-627-M2025004
    Description: This infographic illustrates information on how frequently the non-official languages spoken by the largest number of people are spoken in households when all household members have that language in common.
    Release date: 2025-02-24
Articles and reports (230)

Articles and reports (230) (0 to 10 of 230 results)

  • Articles and reports: 85-002-X202600100012
    Description: This Juristat article builds on previous work on gender-related homicide in Canada by using multiple linked data sources to examine victim characteristics over a 14-year period (2009 to 2022). Using data linking the Homicide Survey to the Uniform Crime Reporting Survey, it first examines prior police-reported violence among homicide victims before exploring their demographic and socioeconomic profiles using linked data from education, immigration, health, and tax records.
    Release date: 2026-08-05

  • Articles and reports: 16-002-X202600100002
    Description: This article presents data on Indigenous Peoples and their experiences with wildfires, along with spatial data on forest fires and air quality from 2023. The analysis integrates results from the 2024 Survey Series on First Nations People, Métis and Inuit - Emergency Preparedness and Extreme Weather with 2021 Census Indigenous population data, alongside spatial data on forest fires and air quality from 2023. This analytical article uses maps, charts and tables to show findings, including burned-area estimates and air quality index values, to provide a comprehensive overview of wildfire experiences among Indigenous populations in Canada.
    Release date: 2026-07-28

  • 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

  • Articles and reports: 36-28-0001202600700002
    Description: This study examines disparities between immigrant and Canadian-born families across their wealth distributions, accounting for recency of immigration and life cycle in patterns of wealth accumulation. It examines two questions: are wealth gaps between immigrant and Canadian-born families larger at the lower, middle or upper end of the distribution? And, are there differences in the components of wealth between immigrant and Canadian-born families across the distribution?
    Release date: 2026-07-22

  • Articles and reports: 12-001-X202600100004
    Description: We test the notion that a quasi-probabilistic method of selecting individuals within households (last birthday, LB) draws in a different sample compared to a non-probabilistic approach that selects respondents according to known parameters on age and gender (frequency matching, FM). With data from an original field experiment, we evaluate fieldwork efficiency (time and completed cases), economy (cost), success in recruiting a representative sample, and differences across a set of attitudinal and behavioral measures. We find that the FM approach performs better on efficiency and cost and achieves a comparable sample; importantly, this comparability extends across measures of personality traits and public opinion. With appropriate caveats, we conclude that researchers’ choice of selection methods should be guided by both theoretical benefits and practical tradeoffs.
    Release date: 2026-06-29

  • Articles and reports: 12-001-X202600100007
    Description: National statistical institutes operate sample coordination systems to spread the response burden in business surveys. Despite the applied sample coordination and monitoring the response burden, some businesses might still be heavily sampled within a short period. This may lead to a peaking response burden for individual businesses, which could affect response rates and response quality. This paper proposes a new sample coordination method based on Adapted Spatially Correlated Poisson (ASCP) sampling that focuses on businesses with a high response burden. The effects on the response burden will be evaluated in two simulation studies and compared with a stratified approach, a pragmatic method in which sampling fractions are manually adjusted and with the baseline method of ignoring the response burden. For the simulations, real-world scenarios and data from Statistics Netherlands are used. The first simulation study considers a practical situation in which a given sample is adjusted with the aim to avoid the occurrence of businesses with a peaking response burden. The second simulation study analyzes the longer-term effects of the different sample coordination methods and focuses both on the reduction and spread of the response burden. The advantages and disadvantages of the different methods will be explained and discussed in detail, and recommendations for applying these methods at national statistical institutes and other survey agencies will be given.
    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

  • 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: 11-621-M2026008
    Description: With the proportion of small businesses making up nearly all of the employer businesses in Canada, small businesses are an important role in employing Canadians and are a significant driver towards economic recovery. This article provides insights on the expectations of small businesses as well as the unique conditions faced by these businesses in the second quarter of 2026. It involves an examination of the data produced by the Canadian Survey on Business Conditions.
    Release date: 2026-06-18

  • Articles and reports: 85-002-X202600100010
    Description: This Juristat article presents an analysis of the nature and prevalence of mass casualty events, which are intentional acts of violence where four or more victims sustained some level of physical injury or were killed as part of the same incident. Using police-reported data from the Uniform Crime Reporting Survey, characteristics of incidents, victims and accused persons are discussed. Throughout this article, information about overall violent crime reported by police—where a victim record was provided—is also provided for comparison.
    Release date: 2026-06-18
Journals and periodicals (4)

Journals and periodicals (4) ((4 results))

  • Journals and periodicals: 82-003-X202600100001
    Description: The prevalence of mood and anxiety disorders has risen in Canada over the past decade, and a large proportion of affected individuals do not receive professional help. This study used data from the 2022 Mental Health and Access to Care Survey to understand how sociodemographic factors, including age, gender, immigrant status, population group, and household income, were associated with mental health care service use (talked to a health professional about their mental health; and/or received counselling or therapy services in the 12 months before completing the survey) among people who met the criteria for selected mood or anxiety disorders.
    Release date: 2026-01-21

  • Journals and periodicals: 82-003-X202600100002
    Description: Canadians’ positive mental health (PMH) decreased during the early and mid stages of the COVID-19 pandemic. Less is known about whether PMH recovered as the pandemic transitioned away from being a global health emergency. The aim of the current study was to compare three PMH outcomes (high self-rated mental health, high community belonging, and mean life satisfaction) during the late stage of the pandemic (February to May 2023), with earlier stages early (early: September to December 2020; mid (February to May 2021), using data from the Survey on COVID-19 and Mental Health.
    Release date: 2026-01-21

  • Journals and periodicals: 12-605-X
    Description:

    The Record Linkage Project Process Model (RLPPM) was developed by Statistics Canada to identify the processes and activities involved in record linkage. The RLPPM applies to linkage projects conducted at the individual and enterprise level using diverse data sources to create new data sources to meet analytical and operational needs.

    Release date: 2017-06-05

  • Journals and periodicals: 89-639-X
    Geography: Canada
    Description:

    Beginning in late 2006, the Social and Aboriginal Statistics Division of Statistics Canada embarked on the process of review of questions used in the Census and in surveys to produce data about Aboriginal peoples (North American Indian, Métis and Inuit). This process is essential to ensure that Aboriginal identification questions are valid measures of contemporary Aboriginal identification, in all its complexity. Questions reviewed included the following (from the Census 2B questionnaire):- the Ethnic origin / Aboriginal ancestry question;- the Aboriginal identity question;- the Treaty / Registered Indian question; and- the Indian band / First Nation Membership question.

    Additional testing was conducted on Census questions with potential Aboriginal response options: the population group question (also known as visible minorities), and the Religion question. The review process to date has involved two major steps: regional discussions with data users and stakeholders, and qualitative testing. The regional discussions with over 350 users of Aboriginal data across Canada were held in early 2007 to examine the four questions used on the Census and other surveys of Statistics Canada. Data users included National Aboriginal organizations, Aboriginal Provincial and Territorial Organizations, Federal, Provincial and local governments, researchers and Aboriginal service organizations. User feedback showed that main areas of concern were data quality, undercoverage, the wording of questions, and the importance of comparability over time.

    Release date: 2009-04-17