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All (56) (0 to 10 of 56 results)

  • Articles and reports: 36-28-0001202101100001
    Description:

    While the primary reason for international students being in Canada is for study purposes, they may also participate in the labour market. Increases over the past two decades in the number of international students, alongside programs designed to facilitate their availability to work while studying, parallel a growing role played by this population in the Canadian labour market. This article assesses the extent to which international students who intended to study at the postsecondary level were engaged in the labour market.

    Release date: 2021-11-24

  • Articles and reports: 36-28-0001202101100004
    Description:

    Despite women outnumbering men in postsecondary institutions, women are considerably less likely to select the higher paying STEM fields, which could be a factor in the gender wage gap. While many studies have examined the persistent underrepresentation of women in STEM programs among postsecondary graduates, the goal of this study is to advance the Canadian evidence in three ways. First, the study distinguishes between two types of gender differences in the probability of selecting STEM-related fields in a bachelor’s degree program: those that are conditional on enrolment in a bachelor’s degree program and those that are unconditional on doing so. Second, the study highlights gender differences in specific STEM programs. Third, the study addresses the substantial sample attrition affecting longitudinal household surveys that have been used to study the issue in several previous studies. To do so, the study uses an administrative dataset that provides detailed academic performance information on students from kindergarten to Grade 12 in Canada’s third-most populous province, British Columbia.

    Release date: 2021-11-24

  • Articles and reports: 82-003-X202101100001
    Description:

    The fitness levels of Canadian adults declined substantially between 1981 and the years 2007 to 2009, suggesting a reduction in population health. This paper updates the fitness trends of Canadians aged 20 to 69 years by extending the time period to 2017.

    Release date: 2021-11-17

  • Articles and reports: 81-582-X2021003
    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 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: 2021-11-01

  • Articles and reports: 11-522-X202100100025
    Description:

    We propose a longitudinal analysis with a point of view connected to the organizational changes that have taken place in the Italian National Institute of Statistics in recent years. In 2016 the Institute introduced a new Directorate, intending to standardize and generalize the business process of Data Collection according to the European standard of the GAMSO model. The paper discusses the pros and cons of this change from the perspective of the survey's participation. The ICT survey response rate analysis demonstrates an increase of around 20% since the beginning of the new organization: the paper tries to focus on the impact of the changes introduced with the new organization. We focused our attention on two specific subsets of respondents - the so-called "wanted" - the ones who have never answered to an ICT survey or to any other Istat survey and - the so-called “lost” - the ones included in two consecutive survey’s samples and that answered in the previous edition but not in the current one. The paper aims to illustrate how an efficient organization of data collection reflects its benefits on survey results and what kind of actions should be taken to catch the attention of the "wanted". Finally, we apply a logistic model measuring the probability that an enterprise responding in 2018 (t-1) also answered in 2019 (t). All the analysis suggests some actions that could be taken to improve respondents' participation, data quality, and respondents' perception of the official statistics.

    Key Words: data collection strategy, response rate, paradata, response burden, ICT Survey.

    Release date: 2021-10-29

  • Articles and reports: 75-006-X202100100010
    Description:

    Canada's religious landscape has undergone significant changes in recent decades, including a decline in religious affiliation and participation in individual and group religious activities. This study uses data from the General Social Survey to provide a portrait of the diverse relationships that Canadians have with religion. The study also presents key trends that characterize the evolution of religiosity in Canada since 1985.

    Release date: 2021-10-28

  • Articles and reports: 89-654-X2021002
    Description:

    This factsheet provides accessibility-related findings from the 2017 Canadian Survey on Disability (CSD) that align with four of the seven priorities from the Accessible Canada Act (ACA). These priorities include transportation, built environment, information and communication technology (ICT) and employment. The results show some key differences in accessibility experiences by age group, sex, type of disability and severity of disability among persons with disabilities.

    Release date: 2021-10-27

  • Articles and reports: 11-522-X202100100005
    Description: The Permanent Census of Population and Housing is the new census strategy adopted in Italy in 2018: it is based on statistical registers combined with data collected through surveys specifically designed to improve registers quality and assure Census outputs. The register at the core of the Permanent Census is the Population Base Register (PBR), whose main administrative sources are the Local Population Registers. The population counts are determined correcting the PBR data with coefficients based on the coverage errors estimated with surveys data, but the need for additional administrative sources clearly emerged while processing the data collected with the first round of Permanent Census. The suspension of surveys due to global-pandemic emergency, together with a serious reduction in census budget for next years, makes more urgent a change in estimation process so to use administrative data as the main source. A thematic register has been set up to exploit all the additional administrative sources: knowledge discovery from this database is essential to extract relevant patterns and to build new dimensions called signs of life, useful for population estimation. The availability of the collected data of the two first waves of Census offers a unique and valuable set for statistical learning: association between surveys results and ‘signs of life’ could be used to build classification model to predict coverage errors in PBR. This paper present the results of the process to produce ‘signs of life’ that proved to be significant in population estimation.

    Key Words: Administrative data; Population Census; Statistical Registers; Knowledge discovery from databases.

    Release date: 2021-10-22

  • Articles and reports: 11-522-X202100100017
    Description: The outbreak of the COVID-19 pandemic required the Government of Canada to provide relevant and timely information to support decision-making around a host of issues, including personal protective equipment (PPE) procurement and deployment. Our team built a compartmental epidemiological model from an existing code base to project PPE demand under a range of epidemiological scenarios. This model was further enhanced using data science techniques, which allowed for the rapid development and dissemination of model results to inform policy decisions.

    Key Words: COVID-19; SARS-CoV-2; Epidemiological model; Data science; Personal Protective Equipment (PPE); SEIR

    Release date: 2021-10-22

  • Stats in brief: 45-28-0001202100100038
    Description:

    This article examines some of the effects of COVID-19 on rural businesses in Canada, with comparison to urban counterparts by industry for contextual support. Topics include business obstacles, expectations for the next year, workforce changes and other subjects from the Canadian Survey on Business Conditions, third quarter of 2021.

    Release date: 2021-10-18
Stats in brief (12)

Stats in brief (12) (0 to 10 of 12 results)

  • Stats in brief: 45-28-0001202100100038
    Description:

    This article examines some of the effects of COVID-19 on rural businesses in Canada, with comparison to urban counterparts by industry for contextual support. Topics include business obstacles, expectations for the next year, workforce changes and other subjects from the Canadian Survey on Business Conditions, third quarter of 2021.

    Release date: 2021-10-18

  • Stats in brief: 11-627-M2021076
    Description:

    Key findings about self-reported spousal violence in Canada are presented in this infographic, including statistics on victims and the physical and emotional impacts of this type of violence. Trend data for the provinces are also highlighted.

    Release date: 2021-10-06

  • Stats in brief: 11-627-M2021071
    Description: The Canadian Centre for Tourism and Transportation Statistics is releasing an infographic to present an overview of Canadian Passenger Bus and Urban Transit industry in 2019. The effects of the COVID-19 pandemic on the urban transit industry are also presented in this infographic. This snapshot highlights the urban transit industry and includes total operating expenditures and revenue, wages and fuel consumption.
    Release date: 2021-09-22

  • Stats in brief: 45-28-0001202100100032
    Description:

    While lockdown periods and physical distancing measures are fundamental in reducing virus transmission, prolonged restrictions may lead to reduced engagement in physical activity and exercise. This article examines changes in reported physical activity from before to during the COVID-19 pandemic. More specifically, it examines changes in the proportion of Canadians meeting physical activity guidelines, as well as changes in the types of physical activity reported. The article explores differences between youth (aged 12 to 17), adults (aged 18 to 64) and older adults (aged 65 and over).

    Release date: 2021-09-17

  • Stats in brief: 11-627-M2021063
    Description: This infographic highlights key employment characteristics in Canada’s oil and gas sector, for reference years 2009 to 2019. Data is taken from the most recent Natural Resource Satellite Account-Human Resource Module.
    Release date: 2021-08-26

  • Stats in brief: 11-627-M2021064
    Description:

    Adverse childhood experiences such as physical abuse, sexual abuse, harsh parenting or neglect, or being exposed to violence in the home have all been consistently shown to be linked to subsequent experiences of victimization in adulthood. This infographic presents findings from the 2019 General Social Survey on Victimization, focusing on experiences of childhood maltreatment.

    Release date: 2021-08-25

  • Stats in brief: 45-28-0001202100100019
    Description:

    The shift by Canadians to a more physically distanced life resulted in a dramatic reduction in the transmission of COVID-19. However, there are concerns that health behaviours, including physical activity, have consequently changed in ways that will result in an unintended increase in the risk of chronic diseases such as cardiovascular disease, obesity, diabetes and cancer. This study looks at how many Canadians could develop cardiovascular disease over the next three years because of reduced levels of physical activity during the COVID-19 pandemic.

    Release date: 2021-06-25

  • Stats in brief: 45-28-0001202100100025
    Description:

    Since the beginning of the pandemic, residential care facilities such as nursing homes and seniors' homes have accounted for a significant number of cases and the majority of COVID-19-related deaths across Canada. This article presents preliminary results from the recently completed Nursing and Residential Care Facility Survey on the impact of the COVID-19 pandemic, covering the period up to and including December 31, 2020, in nursing homes, seniors' homes, mental health facilities and other residential care facilities.

    Release date: 2021-06-10

  • Stats in brief: 45-20-00032021001
    Description:

    We sit down (virtually!) with Tony Labillois, StatCan’s Champion for Persons With Disabilities, to talk about the new challenges and opportunities experienced by persons with disabilities during the pandemic.

    Release date: 2021-06-03

  • Stats in brief: 11-627-M2021042
    Description:

    This infographic presents data on the Radio and Television broadcasting industries in 2020. It features data on COVID subsidies received during the broadcasting year, employment level, ad revenue and programming production costs.

    Release date: 2021-05-10
Articles and reports (44)

Articles and reports (44) (0 to 10 of 44 results)

  • Articles and reports: 36-28-0001202101100001
    Description:

    While the primary reason for international students being in Canada is for study purposes, they may also participate in the labour market. Increases over the past two decades in the number of international students, alongside programs designed to facilitate their availability to work while studying, parallel a growing role played by this population in the Canadian labour market. This article assesses the extent to which international students who intended to study at the postsecondary level were engaged in the labour market.

    Release date: 2021-11-24

  • Articles and reports: 36-28-0001202101100004
    Description:

    Despite women outnumbering men in postsecondary institutions, women are considerably less likely to select the higher paying STEM fields, which could be a factor in the gender wage gap. While many studies have examined the persistent underrepresentation of women in STEM programs among postsecondary graduates, the goal of this study is to advance the Canadian evidence in three ways. First, the study distinguishes between two types of gender differences in the probability of selecting STEM-related fields in a bachelor’s degree program: those that are conditional on enrolment in a bachelor’s degree program and those that are unconditional on doing so. Second, the study highlights gender differences in specific STEM programs. Third, the study addresses the substantial sample attrition affecting longitudinal household surveys that have been used to study the issue in several previous studies. To do so, the study uses an administrative dataset that provides detailed academic performance information on students from kindergarten to Grade 12 in Canada’s third-most populous province, British Columbia.

    Release date: 2021-11-24

  • Articles and reports: 82-003-X202101100001
    Description:

    The fitness levels of Canadian adults declined substantially between 1981 and the years 2007 to 2009, suggesting a reduction in population health. This paper updates the fitness trends of Canadians aged 20 to 69 years by extending the time period to 2017.

    Release date: 2021-11-17

  • Articles and reports: 81-582-X2021003
    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 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: 2021-11-01

  • Articles and reports: 11-522-X202100100025
    Description:

    We propose a longitudinal analysis with a point of view connected to the organizational changes that have taken place in the Italian National Institute of Statistics in recent years. In 2016 the Institute introduced a new Directorate, intending to standardize and generalize the business process of Data Collection according to the European standard of the GAMSO model. The paper discusses the pros and cons of this change from the perspective of the survey's participation. The ICT survey response rate analysis demonstrates an increase of around 20% since the beginning of the new organization: the paper tries to focus on the impact of the changes introduced with the new organization. We focused our attention on two specific subsets of respondents - the so-called "wanted" - the ones who have never answered to an ICT survey or to any other Istat survey and - the so-called “lost” - the ones included in two consecutive survey’s samples and that answered in the previous edition but not in the current one. The paper aims to illustrate how an efficient organization of data collection reflects its benefits on survey results and what kind of actions should be taken to catch the attention of the "wanted". Finally, we apply a logistic model measuring the probability that an enterprise responding in 2018 (t-1) also answered in 2019 (t). All the analysis suggests some actions that could be taken to improve respondents' participation, data quality, and respondents' perception of the official statistics.

    Key Words: data collection strategy, response rate, paradata, response burden, ICT Survey.

    Release date: 2021-10-29

  • Articles and reports: 75-006-X202100100010
    Description:

    Canada's religious landscape has undergone significant changes in recent decades, including a decline in religious affiliation and participation in individual and group religious activities. This study uses data from the General Social Survey to provide a portrait of the diverse relationships that Canadians have with religion. The study also presents key trends that characterize the evolution of religiosity in Canada since 1985.

    Release date: 2021-10-28

  • Articles and reports: 89-654-X2021002
    Description:

    This factsheet provides accessibility-related findings from the 2017 Canadian Survey on Disability (CSD) that align with four of the seven priorities from the Accessible Canada Act (ACA). These priorities include transportation, built environment, information and communication technology (ICT) and employment. The results show some key differences in accessibility experiences by age group, sex, type of disability and severity of disability among persons with disabilities.

    Release date: 2021-10-27

  • Articles and reports: 11-522-X202100100005
    Description: The Permanent Census of Population and Housing is the new census strategy adopted in Italy in 2018: it is based on statistical registers combined with data collected through surveys specifically designed to improve registers quality and assure Census outputs. The register at the core of the Permanent Census is the Population Base Register (PBR), whose main administrative sources are the Local Population Registers. The population counts are determined correcting the PBR data with coefficients based on the coverage errors estimated with surveys data, but the need for additional administrative sources clearly emerged while processing the data collected with the first round of Permanent Census. The suspension of surveys due to global-pandemic emergency, together with a serious reduction in census budget for next years, makes more urgent a change in estimation process so to use administrative data as the main source. A thematic register has been set up to exploit all the additional administrative sources: knowledge discovery from this database is essential to extract relevant patterns and to build new dimensions called signs of life, useful for population estimation. The availability of the collected data of the two first waves of Census offers a unique and valuable set for statistical learning: association between surveys results and ‘signs of life’ could be used to build classification model to predict coverage errors in PBR. This paper present the results of the process to produce ‘signs of life’ that proved to be significant in population estimation.

    Key Words: Administrative data; Population Census; Statistical Registers; Knowledge discovery from databases.

    Release date: 2021-10-22

  • Articles and reports: 11-522-X202100100017
    Description: The outbreak of the COVID-19 pandemic required the Government of Canada to provide relevant and timely information to support decision-making around a host of issues, including personal protective equipment (PPE) procurement and deployment. Our team built a compartmental epidemiological model from an existing code base to project PPE demand under a range of epidemiological scenarios. This model was further enhanced using data science techniques, which allowed for the rapid development and dissemination of model results to inform policy decisions.

    Key Words: COVID-19; SARS-CoV-2; Epidemiological model; Data science; Personal Protective Equipment (PPE); SEIR

    Release date: 2021-10-22

  • Articles and reports: 11-522-X202100100021
    Description: Istat has started a new project for the Short Term statistical processes, to satisfy the coming new EU Regulation to release estimates in a shorter time. The assessment and analysis of the current Short Term Survey on Turnover in Services (FAS) survey process, aims at identifying how the best features of the current methods and practices can be exploited to design a more “efficient” process. In particular, the project is expected to release methods that would allow important economies of scale, scope and knowledge to be applied in general to the STS productive context, usually working with a limited number of resources. The analysis of the AS-IS process revealed that the FAS survey incurs substantial E&I costs, especially due to intensive follow-up and interactive editing that is used for every type of detected errors. In this view, we tried to exploit the lessons learned by participating to the High-Level Group for the Modernisation of Official Statistics (HLG-MOS, UNECE) about the Use of Machine Learning in Official Statistics. In this work, we present a first experiment using Random Forest models to: (i) predict which units represent “suspicious” data, (ii) to assess the prediction potential use over new data and (iii) to explore data to identify hidden rules and patterns. In particular, we focus on the use of Random Forest modelling to compare some alternative methods in terms of error prediction efficiency and to address the major aspects for the new design of the E&I scheme.
    Release date: 2021-10-15
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