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Results
All (493)
All (493) (0 to 10 of 493 results)
- Articles and reports: 37-20-00012024002Description: This technical reference guide (updated to include the 2024 datasets) is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are derived from integrating Postsecondary Student Information System (PSIS) administrative data with other administrative data on earnings. Statistics Canada has derived a series of annual indicators on the labour market outcomes of public postsecondary graduates including median employment income by educational qualification, field of study, age group and gender for Canada, the provinces and the territories combined.Release date: 2024-08-15
- Articles and reports: 22-20-00012024003Description: While the Internet has made it easier than ever to get information, it has also created new opportunities for misinformation to spread. Using 2023 data from the Survey Series on People and their Communities and 2022 data from the Canadian Internet Use Survey, this paper conducts multivariate analyses to examine the role of demographic and socioeconomic characteristics in the likelihood of engaging in particular fact-checking behaviours thought to be associated with the spread of misinformation.Release date: 2024-07-25
- Stats in brief: 45-28-0001202400100001Description: This article provides insights into the rates of COVID-19 mortality among First Nations peoples and Métis living in private dwellings and the social determinants of COVID-19 mortality among these populations using data from the 2016 Canadian Census Health and Environment Cohorts linked to the Canadian Vital Statistics – Death Database from 2016 to 2021.Release date: 2024-07-16
- Stats in brief: 89-20-00062024001Description: This short video explains how it can be very effective for all levels of governments and organizations that serve communities to use disaggregated data to make evidence-informed public policy decisions. By using disaggregated data, policymakers are able to design more appropriate and effective policies that meet the needs of each diverse and unique Canadian.Release date: 2024-07-16
- Stats in brief: 89-20-00062024002Description: This short video explains how the use of disaggregated data can help policymakers to develop more targeted and effective policies by identifying the unique needs and challenges faced by different demographic groups.Release date: 2024-07-16
- Articles and reports: 75-005-M2024002Description: Survey of Employment, Payrolls and Hours (SEPH) and the Labour Force Survey (LFS) each provide monthly indicators of pay received by employees. Year-over-year variations in average weekly earnings (from SEPH) and average hourly wages (from LFS) provide information on current wage dynamics. This guide provides information to help analysts use each indicator by highlighting their key conceptual and measurement differences. It also outlines possible causes of variations for each indicator and provides general examples of using both measures.Release date: 2024-06-27
- Articles and reports: 12-001-X202400100007Description: Pseudo weight construction for data integration can be understood in the two-phase sampling framework. Using the two-phase sampling framework, we discuss two approaches to the estimation of propensity scores and develop a new way to construct the propensity score function for data integration using the conditional maximum likelihood method. Results from a limited simulation study are also presented.Release date: 2024-06-25
- Articles and reports: 12-001-X202400100009Description: Our comments respond to discussion from Sen, Brick, and Elliott. We weigh the potential upside and downside of Sen’s suggestion of using machine learning to identify bogus respondents through interactions and improbable combinations of variables. We join Brick in reflecting on bogus respondents’ impact on the state of commercial nonprobability surveys. Finally, we consider Elliott’s discussion of solutions to the challenge raised in our study.Release date: 2024-06-25
- Articles and reports: 12-001-X202400100013Description: Statistical approaches developed for nonprobability samples generally focus on nonrandom selection as the primary reason survey respondents might differ systematically from the target population. Well-established theory states that in these instances, by conditioning on the necessary auxiliary variables, selection can be rendered ignorable and survey estimates will be free of bias. But this logic rests on the assumption that measurement error is nonexistent or small. In this study we test this assumption in two ways. First, we use a large benchmarking study to identify subgroups for which errors in commercial, online nonprobability samples are especially large in ways that are unlikely due to selection effects. Then we present a follow-up study examining one cause of the large errors: bogus responding (i.e., survey answers that are fraudulent, mischievous or otherwise insincere). We find that bogus responding, particularly among respondents identifying as young or Hispanic, is a significant and widespread problem in commercial, online nonprobability samples, at least in the United States. This research highlights the need for statisticians working with commercial nonprobability samples to address bogus responding and issues of representativeness – not just the latter.Release date: 2024-06-25
- Stats in brief: 11-627-M2024027Description: This infographic provides details about the number of graduates and median employment income two years after graduation for international postsecondary students, by educational qualification and field of study.Release date: 2024-06-20
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Stats in brief (43)
Stats in brief (43) (0 to 10 of 43 results)
- Stats in brief: 45-28-0001202400100001Description: This article provides insights into the rates of COVID-19 mortality among First Nations peoples and Métis living in private dwellings and the social determinants of COVID-19 mortality among these populations using data from the 2016 Canadian Census Health and Environment Cohorts linked to the Canadian Vital Statistics – Death Database from 2016 to 2021.Release date: 2024-07-16
- Stats in brief: 89-20-00062024001Description: This short video explains how it can be very effective for all levels of governments and organizations that serve communities to use disaggregated data to make evidence-informed public policy decisions. By using disaggregated data, policymakers are able to design more appropriate and effective policies that meet the needs of each diverse and unique Canadian.Release date: 2024-07-16
- Stats in brief: 89-20-00062024002Description: This short video explains how the use of disaggregated data can help policymakers to develop more targeted and effective policies by identifying the unique needs and challenges faced by different demographic groups.Release date: 2024-07-16
- Stats in brief: 11-627-M2024027Description: This infographic provides details about the number of graduates and median employment income two years after graduation for international postsecondary students, by educational qualification and field of study.Release date: 2024-06-20
- Stats in brief: 11-627-M2023045Description: The 2022 Canadian Internet Use Survey (CIUS) measures the impact of digital technologies on the lives of Canadians, including how individuals access and use the Internet, their intensity of use, demand for certain online activities, and interactions online as well as the changes in use of digital technologies over time. This infographic presents Canadians’ experiences online when it comes to safety. It includes topics on trust in selected technologies, cyber incidents, and measures taken to protect personal data and devices while online.Release date: 2023-07-20
- Stats in brief: 89-20-00062023001Description: This course is intended for Government of Canada employees who would like to learn about evaluating the quality of data for a particular use. Whether you are a new employee interested in learning the basics, or an experienced subject matter expert looking to refresh your skills, this course is here to help.Release date: 2023-07-17
- 7. A portrait of educational attainment and occupational outcomes among racialized populations in 2021Stats in brief: 98-200-X2021011Description: This Census in Brief article focuses on the education of racialized groups based on data from the 2021 Census of Population. It examines differences in educational attainment between and within racialized groups. The article also provides information on whether racialized populations found jobs that correspond to their education.Release date: 2023-01-18
- Stats in brief: 11-627-M2022059Description:
The infographic provides a high-level description of how the Census counts people, including Indigenous people, particularly those in urban areas. This includes efforts before and during data collection including communications and advertising, reminders, follow up calls and visits, and special outreach. It also outlines the practice of counting people based on usual place of residence on Census day. Finally, the infographic discusses studies that Statistics Canada undertakes to estimate undercoverage, that is, the net impact of some people being missed and others that are being counted more than once by the Census.
Release date: 2022-09-23 - Stats in brief: 45-28-0001202200100008Description:
This article uses data from the 2021 Survey on Access to Health Care and Pharmaceuticals During the Pandemic to explore unmet health care needs, and the reported impact of health service disruptions and delays, among First Nations people living off reserve, Métis and Inuit in the provinces during the COVID-19 pandemic. It also explores experiences of discrimination and other service access barriers among Indigenous people.
Release date: 2022-08-30 - 10. Data ethics: An introduction ArchivedStats in brief: 89-20-00062022001Description:
Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. To properly conduct these processes, data ethics ethics must be upheld in order to ensure the appropriate use of data.
Release date: 2022-05-24
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Articles and reports (445)
Articles and reports (445) (0 to 10 of 445 results)
- Articles and reports: 37-20-00012024002Description: This technical reference guide (updated to include the 2024 datasets) is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are derived from integrating Postsecondary Student Information System (PSIS) administrative data with other administrative data on earnings. Statistics Canada has derived a series of annual indicators on the labour market outcomes of public postsecondary graduates including median employment income by educational qualification, field of study, age group and gender for Canada, the provinces and the territories combined.Release date: 2024-08-15
- Articles and reports: 22-20-00012024003Description: While the Internet has made it easier than ever to get information, it has also created new opportunities for misinformation to spread. Using 2023 data from the Survey Series on People and their Communities and 2022 data from the Canadian Internet Use Survey, this paper conducts multivariate analyses to examine the role of demographic and socioeconomic characteristics in the likelihood of engaging in particular fact-checking behaviours thought to be associated with the spread of misinformation.Release date: 2024-07-25
- Articles and reports: 75-005-M2024002Description: Survey of Employment, Payrolls and Hours (SEPH) and the Labour Force Survey (LFS) each provide monthly indicators of pay received by employees. Year-over-year variations in average weekly earnings (from SEPH) and average hourly wages (from LFS) provide information on current wage dynamics. This guide provides information to help analysts use each indicator by highlighting their key conceptual and measurement differences. It also outlines possible causes of variations for each indicator and provides general examples of using both measures.Release date: 2024-06-27
- Articles and reports: 12-001-X202400100007Description: Pseudo weight construction for data integration can be understood in the two-phase sampling framework. Using the two-phase sampling framework, we discuss two approaches to the estimation of propensity scores and develop a new way to construct the propensity score function for data integration using the conditional maximum likelihood method. Results from a limited simulation study are also presented.Release date: 2024-06-25
- Articles and reports: 12-001-X202400100009Description: Our comments respond to discussion from Sen, Brick, and Elliott. We weigh the potential upside and downside of Sen’s suggestion of using machine learning to identify bogus respondents through interactions and improbable combinations of variables. We join Brick in reflecting on bogus respondents’ impact on the state of commercial nonprobability surveys. Finally, we consider Elliott’s discussion of solutions to the challenge raised in our study.Release date: 2024-06-25
- Articles and reports: 12-001-X202400100013Description: Statistical approaches developed for nonprobability samples generally focus on nonrandom selection as the primary reason survey respondents might differ systematically from the target population. Well-established theory states that in these instances, by conditioning on the necessary auxiliary variables, selection can be rendered ignorable and survey estimates will be free of bias. But this logic rests on the assumption that measurement error is nonexistent or small. In this study we test this assumption in two ways. First, we use a large benchmarking study to identify subgroups for which errors in commercial, online nonprobability samples are especially large in ways that are unlikely due to selection effects. Then we present a follow-up study examining one cause of the large errors: bogus responding (i.e., survey answers that are fraudulent, mischievous or otherwise insincere). We find that bogus responding, particularly among respondents identifying as young or Hispanic, is a significant and widespread problem in commercial, online nonprobability samples, at least in the United States. This research highlights the need for statisticians working with commercial nonprobability samples to address bogus responding and issues of representativeness – not just the latter.Release date: 2024-06-25
- Articles and reports: 13-605-X202400100003Description: The document focuses on the evolution of Statistics Canada's labour productivity program, tracing its historical background, outlining its structure, as well as detailing the methodology and data sources used. It then discusses the diverse applications of provincial productivity data, identifies key users of productivity statistics, and highlights essential considerations for their interpretation. Finally, the document addresses the review process for quarterly and annual productivity measures and recent program improvements.Release date: 2024-06-05
- Articles and reports: 89-654-X2024001Description: This article is the first main release by Statistics Canada based on findings from the 2022 Canadian Survey on Disability (CSD). It is divided into three sections—demographics, employment, and income—and provides a general snapshot on persons with disabilities to inform on government priorities and community interest in the areas of disability prevalence, labour market participation, and income inequality. Where possible, the report will be compared with results from the 2017 CSD to provide insight into changes over the past five years.Release date: 2024-05-28
- Articles and reports: 75-006-X202400100004Description: Using data from the 2021 Census, this study investigates the financial impact of the COVID-19 pandemic on racialized workers, focusing on the change in median employment income from 2019 to 2020, and the extent to which payments from the Canada Emergency Response Benefit offset income losses in 2020 among workers affected by the pandemic. Differences between racialized and non-racialized workers are investigated, along with differences among groups of racialized workers, as well as the intersectionality of race and gender.Release date: 2024-05-23
- Articles and reports: 46-28-0001202400100003Description: While many Canadians prefer to live in low-density housing, the supply of these units is linked to urban sprawl and attendant environmental and economic implications. This article examines recent trends of new housing supply and areas of urban sprawl in select Canadian cities. It also analyzes the characteristics of homeowners who live in neighbourhoods which have recently experienced urban sprawl.Release date: 2024-05-08
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Journals and periodicals (5)
Journals and periodicals (5) ((5 results))
- 1. Revisions to Canada and United States Annual Estimates of Labour Productivity in the Business SectorJournals and periodicals: 15-212-XGeography: CanadaDescription: This paper examines the revisions published in 2011 to Canadian and the United States business sector labour productivity estimates and related variables. In addition to the usual three years revision cycle of the Canadian National Accounts, hours worked in Canada were revised back to 1981 to incorporate the historical revision of the Labour Force Survey published in January 2011. The United States National Accounts estimates were revised back to 2003 and hours worked back to 2002.Release date: 2012-03-29
- Journals and periodicals: 85-569-XGeography: CanadaDescription:
This feasibility report provides a blueprint for improving data on fraud in Canada through a survey of businesses and through amendments to the Uniform Crime Reporting (UCR) Survey. Presently, national information on fraud is based on official crime statistics reported by police services to the Uniform Crime Reporting Survey. These data, however, do not reflect the true nature and extent of fraud in Canada due to under-reporting of fraud by individuals and businesses, and due to inconsistencies in the way frauds are counted within the UCR Survey. This feasibility report concludes that a better measurement of fraud in Canada could be obtained through a survey of businesses. The report presents the information priorities of government departments, law enforcement and the private sector with respect to the issue of fraud and makes recommendations on how a survey of businesses could help fulfill these information needs.
To respond to information priorities, the study recommends surveying the following types of business establishments: banks, payment companies (i.e. credit card and debit card companies), selected retailers, property and casualty insurance carriers, health and disability insurance carriers and selected manufacturers. The report makes recommendations regarding survey methodology and questionnaire content, and provides estimates for timeframes and cost.
The report also recommends changes to the UCR Survey in order to improve the way in which incidents are counted and to render the data collected more relevant with respect to the information priorities raised by government, law enforcement and the private sector during the feasibility study.
Release date: 2006-04-11 - 3. Cyber-crime: Issues, Data Sources, and Feasibility of Collecting Police-reported Statistics ArchivedJournals and periodicals: 85-558-XGeography: CanadaDescription:
Cyber-crime is a global problem that in many instances transcends national borders. Historically, compiling meaningful statistics about this activity has been difficult because of the reluctance on the part of victims to report these offences to police. However, because of the financial losses sustained, an increasing number of these crimes are being reported to police. As a result, federal, provincial and territorial governments, as well as the police community, are interested in analyzing national trends on cyber-crime and their impact on Canadians.
In response to this need for information, the Canadian Centre for Justice Statistics (CCJS) conducted a Special Study to examine the issues and data sources related to cyber-crime and to investigate the feasibility of collecting quantitative data from police services in Canada. This report examines definitions of cyber-crime, current legislation in Canada and other countries, existing data sources, summarizes results from consultations with selected police forces, and presents options for collecting cyber-crime data from police agencies.
Release date: 2002-12-19 - 4. Factors Affecting Urban Transit Ridership ArchivedJournals and periodicals: 53F0003XGeography: CanadaDescription:
For several years, urban transit ridership in Canada has been declining. In the late 1990s, ridership began to stabilize but at a level well below the peaks reached in previous years. Many have postulated reasons for the decline, including the dominance of the automobile, changes in work locations and hours, increasing fares, decreasing subsidies and increasing suburbanization.
Using data from approximately 85 Canadian urban transit service providers, over a period of 8 years, this paper outlines the empirical results of analysis to measure factors that have affected urban transit ridership. Among the key goals of this project was the development of measures of fare elasticity.
Demographic, socio-economic and level of service variables were used in the research to explain changes in ridership. A variety of dummy variables was also used to account for structural differences.
The paper concludes with an examination of major Canadian cities that carry the majority of all commuters in the country.
Release date: 2000-06-06 - 5. A Profile of Youth Justice in Canada ArchivedJournals and periodicals: 85-544-XGeography: CanadaDescription:
This publication presents information on youth crime and young offenders, including rates of crime, characteristics of young offenders and their victims, youth court cases, youth corrections, and repeat offenders.
Release date: 1998-12-15
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