Analysis

Description: This report explores the statistical and analytical potential of information on the language-related characteristics of occupations provided by the Occupational and Skills Information System (OaSIS). OaSIS is an information system developed by Employment and Social Development Canada (ESDC) which provides detailed information on occupations. The report identifies and explores a series of descriptors of occupations related to skills, work activities and work contexts that have a language- or communication-related aspect. These descriptors of occupations are used to enrich data from the 2021 Census.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: This thematic series groups different statistical products related to ethnicity, languages, and immigration. It features analytical documents of varying scopes, such as population profiles, reference materials, data products (including tables and factsheets), among other document types.

Description: This study uses various demographic scenarios to examine the effects of different immigration levels and labour force participation rates on the size and composition of the Canadian labour force to 2041. These scenarios take into account the targets of the 2024–2026 Immigration Levels Plan, published in November 2023 by Immigration, Refugees and Citizenship Canada, as well as recent demographic developments, such as those related to the COVID-19 pandemic and the increase in the number of permanent and temporary immigrants admitted to Canada in 2022 and 2023.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: This publication brings together and analyzes a wide range of data sources in order to provide information on various aspects of Canadian society, including labour, income, education, social, and demographic issues, that affect the lives of Canadians.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

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This service bulletin presents federal government personnel (Full-Time Equivalent - FTE*) engaged in S&T activities.

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This release provides a provincial distribution of the research and development activity in the ten provinces.

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This service bulletin presents the geographic distribution of federal government science and technology expenditures. The distribution is done every two years and the previous data available are for the period 1992-93.

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The Higher Education sector is composed of "all universities, colleges of technology and other institutes of post-secondary education, whatever their source of finance or legal status.

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This service bulletin presents the geographic distribution of federal government science and technology expenditures.

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Gross domestic expenditures on research and development (GERD) represents total R&D expenditures performed in a country's national territory during a given year.

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Since the late seventies, 25 to 29 year-olds with only a secondary school education have had more difficulty finding employment, and much more difficulty obtaining well-paid work. A glance at the changes over time in the labour market "success" of 25 to 29 year-old secondary school graduates.

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Following normal practice, the annual revision of the National Economic and Financial Accounts has been carried out and the revised estimates have been released along with those for the first quarter of 1995. This annual revision of the different parts of the System of National Accounts is an integrated process, with revised estimates of the Income and Expenditure Accounts, Financial Flow Accounts and the Balance of International Payments being released simultaneously. Corresponding revisions to the monthly estimates of gross domestic product (GDP), by industry and to the Input-Output Accounts at current and constant prices will be completed in August.

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A comparison of the employment characteristics of women born in the early years of the baby boom with those of women born in the later years.

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There has been growing interest in recent years about the scope of tourism in Canada. In response to this demand for information, Statistics Canada has developed a Tourism Satellite Account (TSA) which provides some answers to questions such as: Which industries constitute 'the tourism industry'? What are the industry's gross domestic product (GDP) and employment rates? And what is the extent of tourism-related expenditures?

This article reports on the research that Statistics Canada has undertaken as part of an ongoing examination of the tourism industry.

Description: 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.

Description: Nonprobability samples emerge rapidly to address time-sensitive priority topics in different areas. These data are timely but subject to selection bias. To reduce selection bias, there has been wide literature in survey research investigating the use of propensity-score (PS) adjustment methods to improve the population representativeness of nonprobability samples, using probability-based survey samples as external references. Conditional exchangeability (CE) assumption is one of the key assumptions required by PS-based adjustment methods. In this paper, I first explore the validity of the CE assumption conditional on various balancing score estimates that are used in existing PS-based adjustment methods. An adaptive balancing score is proposed for unbiased estimation of population means. The population mean estimators under the three CE assumptions are evaluated via Monte Carlo simulation studies and illustrated using the NIH SARS-CoV-2 seroprevalence study to estimate the proportion of U.S. adults with COVID-19 antibodies from April 01-August 04, 2020.

Description: 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.

Description: This discussion summarizes the interesting new findings around measurement errors in opt-in surveys by Kennedy, Mercer and Lau (KML). While KML enlighten readers about “bogus responding” and possible patterns in them, this discussion suggests combining these new-found results with other avenues of research in nonprobability sampling, such as improvement of representativeness.

Description: Kennedy, Mercer, and Lau explore misreporting by respondents in non-probability samples and discover a new feature, namely that of deliberate misreporting of demographic characteristics. This finding suggests that the “arms race” between researchers and those determined to disrupt the practice of social science is not over and researchers need to account for such respondents if using high-quality probability surveys to help reduce error in non-probability samples.

Description: Nonprobability samples are quick and low-cost and have become popular for some types of survey research. Kennedy, Mercer and Lau examine data quality issues associated with opt-in nonprobability samples frequently used in the United States. They show that the estimates from these samples have serious problems that go beyond representativeness. A total survey error perspective is important for evaluating all types of surveys.

Description: 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.

Description: This paper is an introduction to the special issue on the use of nonprobability samples featuring three papers that were presented at the 29^th Morris Hansen Lecture by Courtney Kennedy, Yan Li and Jean-François Beaumont.

Description: This article explores results from the survey related to the use of AI in producing goods and delivering services. Furthermore, this article explains the specific types of AI being used, such as machine learning, virtual agents and voice recognition, as well as the impact of AI adoption on tasks performed by employees and on employment levels. It involves an examination of the data produced by the Canadian Survey on Business Conditions.

Description: Extreme heat has significant impacts on mortality. In Canada, past research has analyzed the degree to which non-accidental mortality increases during single extreme heat events; however, few studies have considered multiple causes of death and the impacts of extreme heat events on mortality over longer time periods. This study analyzes the impacts of extreme heat events on nonaccidental, cardiovascular, and respiratory deaths from 2000 to 2020 in 12 of the largest cities in Canada.

Description: The fact sheets in this series provide an "at-a-glance" overview of particular aspects of education in Canada and summarize key data trends in selected tables published as part of the Pan-Canadian Education Indicators Program (PCEIP).

The PCEIP mission is to publish a set of statistical measures on education systems in Canada for policy makers, practitioners and the general public to monitor the performance of education systems across jurisdictions and over time. PCEIP is a joint venture of Statistics Canada and the Council of Ministers of Education, Canada (CMEC).

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The articles published in EnviroStats use statistics to illustrate topical environmental issues. The publication is intended for a general readership rather than an expert audience.

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The documents in this collection are based on data from the Longitudinal and International Study of Adults, a survey that examines a variety of topics on the well-being of Canadians and measures the effect of changes in certain areas on people's lives. The survey covers several topics, such as jobs, health, adult education and training, income and earnings, as well as the family dynamic. Reports on the survey content, concepts, methodology and data quality are also available.

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This report helps users understand how we balance protecting confidentiality and meeting needs for data. It provides information at a high level for major variables such as those related to gender, Indigenous peoples, visible minority, ethnocultural diversity, instruction in the official minority language and religious groups.

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Human Activity and the Environment (16-201-X) focuses on current environmental issues. The latest information and statistics are gathered from many sources to produce an in-depth analytical article.

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Health fact sheets will include short, focused, single-theme analysis documents. Over the course of the series, analysis will include topics on: Health conditions, lifestyle, well-being, disability, prevention and detection of disease, deaths, pregnancy and birth, health care services and environmental factors.

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The Report on the Demographic Situation in Canada analyses recent demographic patterns at the national, provincial and subprovincial levels. Trends in population growth and the evolution of the various components of Canada's population growth - fertility, mortality and migration (interprovincial and international) - as well as marital status, are examined. The Report on the Demographic Situation in Canada has been published annually or biennially since 1985. Beginning in 2011, the Report is available as a dynamic, internet-only publication in order to provide the most recent data and analyses on Canadian demographics as soon as they are available.

Description: Articles in the Economic Insights series highlight issues related to the growth and development of Canada's economy. In some cases, these articles highlight new insights or synthesize the results of previous research carried out by Statistics Canada; in others, they provide contextual information that accompanies the release of new data or updates from previous papers. The Economic Insights series features concise examinations of economic events, research results, trends, and important structural changes in the economy.

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Over 80 indicators measure the health of the Canadian population and the effectiveness of the health care system. Designed to provide comparable information at the health region and provincial/territorial levels, these data are produced from a wide range of the most recently available sources.

This Internet publication is produced by Statistics Canada and the Canadian Institute for Health Information.

Description: The Indigenous Peoples Survey (IPS) is a national survey on the social and economic conditions of First Nations people living off reserve, Métis and Inuit. The objectives of the IPS are to identify the needs of these Indigenous groups and to inform policy and programming activities aimed at improving the well-being of Indigenous peoples. The IPS aims to provide current and relevant data for a variety of stakeholders, including Indigenous organizations, communities, service providers, researchers, governments and the general public.

The 2017 APS represents the fifth cycle of the survey and focuses on participation in the Canadian economy, transferable skills, practical training, use of information technology and Indigenous language attainment of First Nations people living off reserve, Métis and Inuit aged 15 years and over.

The 2022 IPS represents the sixth cycle of the survey and focuses on families and children including child care, access to services, family stability, intergenerational trauma and discrimination, sense of belonging, and Indigenous languages and culture, of First Nations people living off reserve, Métis and Inuit aged 1 year and over.