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All (1,849) (0 to 10 of 1,849 results)

  • 1. Payroll employment, earnings and hours, and job vacancies July 2024
    Stats in brief: 11-001-X20242703555
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-26
  • 2. Study: Changes in the population of tradespeople between 2016 and 2021 and labour market outcomes of apprenticeship discontinuers
    Stats in brief: 11-001-X202427038994
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-26
  • 3. Police-reported Information Hub: Hate crime in Canada 2023
    Stats in brief: 11-001-X202427039054
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-09-26
  • 4. Discontinuers of apprenticeship programs: An analysis on the impact of discontinuation on the labour market outcomes of apprentices
    Articles and reports: 81-595-M2024001
    Description: This analytical article provides insight on the impact of discontinuing apprenticeship programs on the labor market outcomes of apprentices in Canada. Using Census 2016 data and the Education and Labour Market Longitudinal Platform (ELMLP), this study examines certified journeypersons, continuers, and discontinuers of apprenticeship programs from 2008 to 2013. Labour market outcomes are compared primarily through the rates of employment in industries related to their trade of study and earnings.
    Release date: 2024-09-26
  • 5. Changes in the population of tradespeople between 2016 and 2021
    Articles and reports: 81-595-M2024002
    Description: There has been a growing concern about future labor supply in skilled trades in Canada. Using data from the Census of Population and the Job Vacancy and Wage Survey (JVWS), this article examines changes in the number and demographic composition of tradespeople from 2016 to 2021 in Canada. Specifically, the study focuses on those employed in Red Seal trades, analyzing variations in age, gender, citizenship, and trade selection.
    Release date: 2024-09-26
  • 6. Education, Learning and Training Research Paper Series
    Journals and periodicals: 81-595-M
    Geography: Canada
    Description: The series includes analysis on the characteristics of those with elementary-secondary, postsecondary and apprenticeship training. It also features analysis on students’ pathways through the education system and into the labour market-- including findings for different levels of education and fields of study. This research highlights specific groups of interest such as youth, women, men, immigrants, Indigenous people (First Nations people, Métis and Inuit) and visible minorities, and how intersections between these characteristics influence people’s educational experiences. Other topics include access to education; national and international adult performance assessments; use of technology; lifelong learning; and adult education.
    Release date: 2024-09-26
  • 7. Workforce utilization of Canadian men with a nursing education
    Articles and reports: 36-28-0001202400900001
    Description: Little is known about the workforce utilization of Canadian men with a nursing education, who accounted for 12% of people eligible to practise nursing in 2021 (Canadian Institute for Health Information, 2022). This article compares racialized and White men aged 25 to 64 years with a nursing education in terms of their skill utilization in the workforce.
    Release date: 2024-09-25
  • 8. Most prevalent jobs of doctoral degree graduates by detailed field of study
    Articles and reports: 36-28-0001202400900002
    Description: Although it is well established that higher levels of educational attainment are generally associated with higher lifetime earnings, and that this varies considerably by field of study, less is known about the actual jobs held by graduates of specific disciplines. The purpose of this short article is to present results from the 2021 Census of Population for doctoral degree graduates. Only individuals who worked during the census reference week (May 2 to 8, 2021) and who completed a Canadian doctoral degree program are included.
    Release date: 2024-09-25
  • 9. Performance of women-owned businesses that patent
    Articles and reports: 36-28-0001202400900003
    Description: Intangible investments—investments that do not have a physical form—have been rising in importance in terms of use. From 1976 to 2016, the growth of intangible investments was faster than the growth of tangible investments. This study compares the performance of businesses owned by women (majority or equal ownership) that patent with that of majority men-owned businesses and businesses where gender of ownership cannot be assigned.
    Release date: 2024-09-25
  • 10. Exposure to artificial intelligence in Canadian jobs: Experimental estimates
    Articles and reports: 36-28-0001202400900004
    Description: This study provides experimental estimates of the number and percentage of workers in Canada potentially susceptible to AI-related job transformation based on the complementarity-adjusted AI occupational exposure index.
    Release date: 2024-09-25
Stats in brief (525)

Stats in brief (525) (50 to 60 of 525 results)

Articles and reports (1,191)

Articles and reports (1,191) (50 to 60 of 1,191 results)

  • 51. Homeowner-renter dwelling, neighbourhood and life satisfaction gaps
    Articles and reports: 36-28-0001202400600004
    Description: On average, individuals who own their dwelling report higher satisfaction with their dwelling, neighbourhood and life than renters. These differences may reflect a positive causal impact of ownership on satisfaction. However, these differences could also reflect compositional effects, such as differences in household, dwelling and neighbourhood characteristics. Using the 2021 Canadian Housing Survey, this study provides a comparison of renters’ and owners’ reported dwelling, neighbourhood and life satisfaction accounting for compositional effects.
    Release date: 2024-06-26
  • 52. Socioeconomic profile of working-age immigrants in same-sex couples in Canada from 2000 to 2020
    Articles and reports: 36-28-0001202400600005
    Description: Approximately one in four individuals in Canada is currently or has been a landed immigrant or permanent resident. From 2016 to 2021, about 1.3 million new immigrants arrived in Canada and accounted for 80% of the growth in the labour force. Alongside increases in immigrants, there has been a rise in same-sex couples within Canada. This study explores select sociodemographic and economic characteristics of immigrants in same-sex couples compared with their counterparts in opposite-sex couples from 2000 to 2020.
    Release date: 2024-06-26
  • 53. An update on the profile of children with affirmative responses to the 2021 Census questions on difficulties with activities of daily living
    Articles and reports: 36-28-0001202400600006
    Description: This study presents an updated sociodemographic profile of children aged 0 to 14 years with affirmative responses largely based on parent reports to the questions on the 2021 Census long-form questionnaire about difficulties with activities of daily living.
    Release date: 2024-06-26
  • 54. Authors’ response to comments on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”: Some new developments on likelihood approaches to estimation of participation probabilities for non-probability samples
    Articles and reports: 12-001-X202400100001
    Description: Inspired by the two excellent discussions of our paper, we offer some new insights and developments into the problem of estimating participation probabilities for non-probability samples. First, we propose an improvement of the method of Chen, Li and Wu (2020), based on best linear unbiased estimation theory, that more efficiently leverages the available probability and non-probability sample data. We also develop a sample likelihood approach, similar in spirit to the method of Elliott (2009), that properly accounts for the overlap between both samples when it can be identified in at least one of the samples. We use best linear unbiased prediction theory to handle the scenario where the overlap is unknown. Interestingly, our two proposed approaches coincide in the case of unknown overlap. Then, we show that many existing methods can be obtained as a special case of a general unbiased estimating function. Finally, we conclude with some comments on nonparametric estimation of participation probabilities.
    Release date: 2024-06-25
  • 55. Comments by Changbao Wu on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
    Articles and reports: 12-001-X202400100002
    Description: We provide comparisons among three parametric methods for the estimation of participation probabilities and some brief comments on homogeneous groups and post-stratification.
    Release date: 2024-06-25
  • 56. Comments by Julie Gershunskaya and Vladislav Beresovsky on “Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data”
    Articles and reports: 12-001-X202400100003
    Description: Beaumont, Bosa, Brennan, Charlebois and Chu (2024) propose innovative model selection approaches for estimation of participation probabilities for non-probability sample units. We focus our discussion on the choice of a likelihood and parameterization of the model, which are key for the effectiveness of the techniques developed in the paper. We consider alternative likelihood and pseudo-likelihood based methods for estimation of participation probabilities and present simulations implementing and comparing the AIC based variable selection. We demonstrate that, under important practical scenarios, the approach based on a likelihood formulated over the observed pooled non-probability and probability samples performed better than the pseudo-likelihood based alternatives. The contrast in sensitivity of the AIC criteria is especially large for small probability sample sizes and low overlap in covariates domains.
    Release date: 2024-06-25
  • 57. Handling non-probability samples through inverse probability weighting with an application to Statistics Canada’s crowdsourcing data
    Articles and reports: 12-001-X202400100004
    Description: Non-probability samples are being increasingly explored in National Statistical Offices as an alternative to probability samples. However, it is well known that the use of a non-probability sample alone may produce estimates with significant bias due to the unknown nature of the underlying selection mechanism. Bias reduction can be achieved by integrating data from the non-probability sample with data from a probability sample provided that both samples contain auxiliary variables in common. We focus on inverse probability weighting methods, which involve modelling the probability of participation in the non-probability sample. First, we consider the logistic model along with pseudo maximum likelihood estimation. We propose a variable selection procedure based on a modified Akaike Information Criterion (AIC) that properly accounts for the data structure and the probability sampling design. We also propose a simple rank-based method of forming homogeneous post-strata. Then, we extend the Classification and Regression Trees (CART) algorithm to this data integration scenario, while again properly accounting for the probability sampling design. A bootstrap variance estimator is proposed that reflects two sources of variability: the probability sampling design and the participation model. Our methods are illustrated using Statistics Canada’s crowdsourcing and survey data.
    Release date: 2024-06-25
  • 58. Author’s response to comments on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”
    Articles and reports: 12-001-X202400100005
    Description: In this rejoinder, I address the comments from the discussants, Dr. Takumi Saegusa, Dr. Jae-Kwang Kim and Ms. Yonghyun Kwon. Dr. Saegusa’s comments about the differences between the conditional exchangeability (CE) assumption for causal inferences versus the CE assumption for finite population inferences using nonprobability samples, and the distinction between design-based versus model-based approaches for finite population inference using nonprobability samples, are elaborated and clarified in the context of my paper. Subsequently, I respond to Dr. Kim and Ms. Kwon’s comprehensive framework for categorizing existing approaches for estimating propensity scores (PS) into conditional and unconditional approaches. I expand their simulation studies to vary the sampling weights, allow for misspecified PS models, and include an additional estimator, i.e., scaled adjusted logistic propensity estimator (Wang, Valliant and Li (2021), denoted by sWBS). In my simulations, it is observed that the sWBS estimator consistently outperforms or is comparable to the other estimators under the misspecified PS model. The sWBS, as well as WBS or ABS described in my paper, do not assume that the overlapped units in both the nonprobability and probability reference samples are negligible, nor do they require the identification of overlap units as needed by the estimators proposed by Dr. Kim and Ms. Kwon.
    Release date: 2024-06-25
  • 59. Comments by Takumi Saegusa on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”: Causal inference, non-probability sample, and finite population
    Articles and reports: 12-001-X202400100006
    Description: In some of non-probability sample literature, the conditional exchangeability assumption is considered to be necessary for valid statistical inference. This assumption is rooted in causal inference though its potential outcome framework differs greatly from that of non-probability samples. We describe similarities and differences of two frameworks and discuss issues to consider when adopting the conditional exchangeability assumption in non-probability sample setups. We also discuss the role of finite population inference in different approaches of propensity scores and outcome regression modeling to non-probability samples.
    Release date: 2024-06-25
  • 60. Comments by Jae Kwang Kim and Yonghyun Kwon on “Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples”
    Articles and reports: 12-001-X202400100007
    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.
    Release date: 2024-06-25
Journals and periodicals (133)

Journals and periodicals (133) (0 to 10 of 133 results)

  • 1. Education, Learning and Training Research Paper Series
    Journals and periodicals: 81-595-M
    Geography: Canada
    Description: The series includes analysis on the characteristics of those with elementary-secondary, postsecondary and apprenticeship training. It also features analysis on students’ pathways through the education system and into the labour market-- including findings for different levels of education and fields of study. This research highlights specific groups of interest such as youth, women, men, immigrants, Indigenous people (First Nations people, Métis and Inuit) and visible minorities, and how intersections between these characteristics influence people’s educational experiences. Other topics include access to education; national and international adult performance assessments; use of technology; lifelong learning; and adult education.
    Release date: 2024-09-26
  • 2. Annual Demographic Estimates: Canada, Provinces and Territories
    Journals and periodicals: 91-215-X
    Description: This publication presents annual estimates of the total population and annual estimates by age and gender for Canada, provinces and territories. It also presents estimates of the following components of population change: births, deaths, immigration, emigration, returning emigration, net non-permanent residents and inter-provincial migration, the latter by origin and destination. As in the case of population estimates, the components are also available for the total population and by age and gender.

    The Annual demographic estimates - Canada, provinces and territories publication contains the most recent estimates as well as an annual historical series. It also contains highlights and analysis of the most current demographic trends, as well as a brief description of the concepts, methods and data quality of the estimates.

    Release date: 2024-09-25
  • 3. Economic and Social Reports
    Journals and periodicals: 36-28-0001
    Description: Economic and Social Reports includes in-depth research, brief analyses, and current economic updates on a variety of topics, such as labour, immigration, education and skills, income mobility, well-being, aging, firm dynamics, productivity, economic transitions, and economic geography. All the papers are institutionally reviewed and the research and analytical papers undergo peer review to ensure that they conform to Statistics Canada's mandate as a governmental statistical agency and adhere to generally accepted standards of good professional practice.
    Release date: 2024-09-25
  • 4. Just the Facts
    Journals and periodicals: 89-28-0001
    Description: Short and focused data tables related to current events.
    Release date: 2024-09-25
  • 5. Demographic Documents
    Journals and periodicals: 91F0015M
    Geography: Canada
    Description: Demographic documents is a series of texts intended for scholars and researchers, published occasionally by the Demography Division of Statistics Canada for their methodological, analytical or descriptive interest in the population field.
    Release date: 2024-09-25
  • 6. Labour Statistics: Technical Papers
    Journals and periodicals: 75-005-M
    Description: The papers in this series cover a variety of technical topics related to the Centre for Labour Market Information programs, such as the Labour Force Survey, the Survey of Employment Payrolls and Hours, the Employment insurance Coverage Survey, the Employment Insurance Statistics program as well as data from administrative sources.
    Release date: 2024-09-20
  • 7. The Business and Community Newsletter
    Journals and periodicals: 11-632-X
    Description: The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.
    Release date: 2024-09-19
  • 8. Health Reports
    Journals and periodicals: 82-003-X
    Geography: Canada
    Description:

    Health Reports, published by the Health Analysis Division of Statistics Canada, is a peer-reviewed journal of population health and health services research. It is designed for a broad audience that includes health professionals, researchers, policymakers, and the general public. The journal publishes articles of wide interest that contain original and timely analyses of national or provincial/territorial surveys or administrative databases. New articles are published electronically each month.

    Health Reports had an impact factor of 5.0 for 2022 and a five-year impact factor of 5.6. All articles are indexed in PubMed. Our online catalogue is free and receives more than 700,000 visits per year. External submissions are welcome.
    Release date: 2024-09-18
  • 9. Statistics Canada - Infographics
    Journals and periodicals: 11-627-M
    Description: Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time.

    These infographics will provide a quick overview of Statistics Canada survey data.

    Release date: 2024-09-13
  • 10. Insights on Canadian Society
    Journals and periodicals: 75-006-X
    Geography: Canada
    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.
    Release date: 2024-09-13
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