Analysis

Description: The NEET measure (not in employment, education or training) is a popular approach to identifying youth who, at a point in time, may be at risk for economic and social difficulties. This article develops and applies a complementary indicator that focuses on a longer time period and also acknowledges unpaid caregiving as a productive activity. Youth are considered not in employment, education or training, excluding short transitions (NEETEST), if they were NEET (excluding unpaid caregiving) for a full year.

Description: Artificial intelligence (AI) holds the potential to transform the nature of work, and its ability to replace human labour remains a central concern. This study highlights recent labour market trends, distinguishing jobs potentially more exposed to and less complementary with AI from other jobs.

Description: Using data from the Labour Force Survey and the Survey of Employment, Payrolls and Hours, this study examines the impacts of tariff-related trade uncertainty on the Canadian labour market. The characteristics of jobs and workers most vulnerable to U.S. tariffs are explored. Impacts on employment in industries dependent on U.S. demand for Canadian exports, as well as Canadian regions with a higher share of jobs in industries dependent on U.S. demand, are also examined. In addition, this study uses adjusted concepts to compare the unemployment rates in Canada and the United States.

Description: Recent trade tensions between the United States (U.S.) and Canada have raised questions around the impact of potential job losses related to tariffs. A recent article revealed that, in general, jobs in industries dependent on U.S. demand for Canadian exports (IDUSCEXs) are well-paying and have many favourable non-wage job characteristics, but not all industries within the broader IDUSCEX grouping ranked relatively high in these measures. The current article follows up this work by investigating the socioeconomic characteristics of workers employed in IDUSCEXs, which could play a key role in how affected workers might adapt to potential job losses.

Description: While it is challenging to estimate the number of job losses that may be associated with U.S. tariffs, it is possible to describe the quality of jobs at risk of being affected by a decline in U.S. demand for Canadian products. This article addresses this issue by examining a multitude of job quality measures in industries dependent on U.S. demand for Canadian exports.

Description: Technology is constantly evolving, and this can change the tasks that employees perform in the workplace. Recent and substantial developments in automation and artificial intelligence may accelerate these changes. This article looks at the changing nature of work from 1987 to 2024 within this context.

Description: This article provides information about how wage data is collected in the Labour Force Survey (LFS). In particular, it examines aspects of the LFS methodology which may impact wage trends.

Description:

As Canada begins the recovery from the health and economic impacts of the COVID-19 pandemic, there are concerns for the financial well-being of Canadians and a heightened awareness of the importance of financial resilience. This paper looks at how Canadians are reporting their financial difficulties on the Labour Force Survey, expands on research into how the weekly income of Canadians has been affected, and examines changes in the Seymour Financial Resilience IndexTM over the pandemic period. This report is the result of a collaboration between Statistics Canada and Seymour Consulting Inc.

Description:

In recent years, technological advancements in artificial intelligence and machine learning have broadened the realm of tasks that have the potential to be accomplished through automation technology. Consequently, these developments have raised questions about the future of work. Debate on this issue has focused primarily on the risk of job loss attributable to automation, with less attention given to how automation may change the nature of workers’ jobs. This study employs a task-based approach that shifts the focus from job replacement to changes in the nature of Canadians’ work. This approach views occupations as a set of tasks, allowing researchers to assess the effects of automation in the context of changes in occupational tasks.

Description:

This article uses data from the Labour Force Survey (LFS) to highlight selected characteristics of multiple jobholders in 2018 and discuss notable shifts over the past few decades.

Description: The NEET measure (not in employment, education or training) is a popular approach to identifying youth who, at a point in time, may be at risk for economic and social difficulties. This article develops and applies a complementary indicator that focuses on a longer time period and also acknowledges unpaid caregiving as a productive activity. Youth are considered not in employment, education or training, excluding short transitions (NEETEST), if they were NEET (excluding unpaid caregiving) for a full year.

Description: Artificial intelligence (AI) holds the potential to transform the nature of work, and its ability to replace human labour remains a central concern. This study highlights recent labour market trends, distinguishing jobs potentially more exposed to and less complementary with AI from other jobs.

Description: Using data from the Labour Force Survey and the Survey of Employment, Payrolls and Hours, this study examines the impacts of tariff-related trade uncertainty on the Canadian labour market. The characteristics of jobs and workers most vulnerable to U.S. tariffs are explored. Impacts on employment in industries dependent on U.S. demand for Canadian exports, as well as Canadian regions with a higher share of jobs in industries dependent on U.S. demand, are also examined. In addition, this study uses adjusted concepts to compare the unemployment rates in Canada and the United States.

Description: Recent trade tensions between the United States (U.S.) and Canada have raised questions around the impact of potential job losses related to tariffs. A recent article revealed that, in general, jobs in industries dependent on U.S. demand for Canadian exports (IDUSCEXs) are well-paying and have many favourable non-wage job characteristics, but not all industries within the broader IDUSCEX grouping ranked relatively high in these measures. The current article follows up this work by investigating the socioeconomic characteristics of workers employed in IDUSCEXs, which could play a key role in how affected workers might adapt to potential job losses.

Description: While it is challenging to estimate the number of job losses that may be associated with U.S. tariffs, it is possible to describe the quality of jobs at risk of being affected by a decline in U.S. demand for Canadian products. This article addresses this issue by examining a multitude of job quality measures in industries dependent on U.S. demand for Canadian exports.

Description: Technology is constantly evolving, and this can change the tasks that employees perform in the workplace. Recent and substantial developments in automation and artificial intelligence may accelerate these changes. This article looks at the changing nature of work from 1987 to 2024 within this context.

Description: This article provides information about how wage data is collected in the Labour Force Survey (LFS). In particular, it examines aspects of the LFS methodology which may impact wage trends.

Description:

As Canada begins the recovery from the health and economic impacts of the COVID-19 pandemic, there are concerns for the financial well-being of Canadians and a heightened awareness of the importance of financial resilience. This paper looks at how Canadians are reporting their financial difficulties on the Labour Force Survey, expands on research into how the weekly income of Canadians has been affected, and examines changes in the Seymour Financial Resilience IndexTM over the pandemic period. This report is the result of a collaboration between Statistics Canada and Seymour Consulting Inc.

Description:

In recent years, technological advancements in artificial intelligence and machine learning have broadened the realm of tasks that have the potential to be accomplished through automation technology. Consequently, these developments have raised questions about the future of work. Debate on this issue has focused primarily on the risk of job loss attributable to automation, with less attention given to how automation may change the nature of workers’ jobs. This study employs a task-based approach that shifts the focus from job replacement to changes in the nature of Canadians’ work. This approach views occupations as a set of tasks, allowing researchers to assess the effects of automation in the context of changes in occupational tasks.

Description:

This article uses data from the Labour Force Survey (LFS) to highlight selected characteristics of multiple jobholders in 2018 and discuss notable shifts over the past few decades.