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- Stats in brief: 11-627-M2023046Description: Using data from the Labour Force Survey, this infographic examines the employment experiences of health care workers during the pandemic, including illness-related work absences and overtime. It also explore how these changing job characteristics affected health care workers and their likelihood to leave their current positions.Release date: 2023-08-10
- Articles and reports: 75F0002M2021006Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.
Release date: 2021-07-28 - Articles and reports: 36-28-0001202100600001Description:
This article provides an integrated summary of key changes in economic and labour market activity since the onset of the pandemic.
Release date: 2021-06-23 - Articles and reports: 36-28-0001202100600004Description:
Recent advances in artificial intelligence and robotics have led to a higher risk of job loss or job transformation among certain groups of workers. Moreover, the COVID-19 pandemic has shown that workers whose job can be done from home, involves sufficient physical distancing, or is deemed essential by authorities enjoy greater job security than other workers during a lockdown. In light of these two developments, it is important to identify which groups of Canadian workers might enjoy the highest or lowest level of job security in upcoming years. To do so, this study develops a forward-looking measure of job security by estimating the proportion of Canadian employees who hold ‘triple-protected’ jobs, or jobs that (a) have no predetermined end date; (b) have a low risk of being lost or transformed due to automation; and (c) are resilient to pandemics.
Release date: 2021-06-23 - Articles and reports: 75-006-X202100100003Description:
This article examines the period of September to October 2020, which signalled the beginning of new school year and also the start of the second wave of COVID-19 in Canada. It illuminates the decisions that youth (and, in the case of secondary students, their parents) made about their schooling, and how the combination of these possibly difficult decisions, with the unprecedented drops in youth employment, affected the proportion of youth who were that youth not in employment, education or training - NEET.
Release date: 2021-05-25 - Articles and reports: 75F0002M2021002Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional sources of data, and accounts for new pandemic relief programs introduced after September 2020. Population coverage is improved, and experimental estimates are updated and extended through December 2020. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.
Release date: 2021-03-23 - Articles and reports: 75F0002M2020004Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.
Release date: 2020-12-18
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- Stats in brief: 11-627-M2023046Description: Using data from the Labour Force Survey, this infographic examines the employment experiences of health care workers during the pandemic, including illness-related work absences and overtime. It also explore how these changing job characteristics affected health care workers and their likelihood to leave their current positions.Release date: 2023-08-10
- Articles and reports: 75F0002M2021006Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.
Release date: 2021-07-28 - Articles and reports: 36-28-0001202100600001Description:
This article provides an integrated summary of key changes in economic and labour market activity since the onset of the pandemic.
Release date: 2021-06-23 - Articles and reports: 36-28-0001202100600004Description:
Recent advances in artificial intelligence and robotics have led to a higher risk of job loss or job transformation among certain groups of workers. Moreover, the COVID-19 pandemic has shown that workers whose job can be done from home, involves sufficient physical distancing, or is deemed essential by authorities enjoy greater job security than other workers during a lockdown. In light of these two developments, it is important to identify which groups of Canadian workers might enjoy the highest or lowest level of job security in upcoming years. To do so, this study develops a forward-looking measure of job security by estimating the proportion of Canadian employees who hold ‘triple-protected’ jobs, or jobs that (a) have no predetermined end date; (b) have a low risk of being lost or transformed due to automation; and (c) are resilient to pandemics.
Release date: 2021-06-23 - Articles and reports: 75-006-X202100100003Description:
This article examines the period of September to October 2020, which signalled the beginning of new school year and also the start of the second wave of COVID-19 in Canada. It illuminates the decisions that youth (and, in the case of secondary students, their parents) made about their schooling, and how the combination of these possibly difficult decisions, with the unprecedented drops in youth employment, affected the proportion of youth who were that youth not in employment, education or training - NEET.
Release date: 2021-05-25 - Articles and reports: 75F0002M2021002Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional sources of data, and accounts for new pandemic relief programs introduced after September 2020. Population coverage is improved, and experimental estimates are updated and extended through December 2020. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.
Release date: 2021-03-23 - Articles and reports: 75F0002M2020004Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.
Release date: 2020-12-18
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