The COVID-19 pandemic was a sudden and unexpected shock, unprecedented in the breadth and depth of its reach. As such, it triggered a tremendous wave of transformations in an already changing environment for labor markets around the world.
We already knew that not all jobs are created equal: some of them are more vulnerable than others to technological displacement, informality, and poor working conditions. Women, ethnic minorities, young people, and low-skilled workers are more prone to work on precarious employments. For better or worse, COVID-19 has shaken the labor market status-quo and created new opportunities and challenges for workers and policymakers.
Understanding a day in the life of a particular worker in the pandemic world requires to look at new data: is this employee able to telework and, therefore, remain safe from the risk of infection while sustaining their job? Has the risk of automation of their job increased due to health factors? Do they work in close proximity to other people or in environments that are prone to infections?
This open dataset aims at answering these questions and understanding the health and economic risks facing workers. It combines indicators on the ability to telework, the probability of automation, the physical proximity and the sanitary risk associated with different job types by country, gender, and skill-level of occupations. Lying at the intersection of technological change and health data, it provides insights into the new challenges faced by labor markets across the globe in the current pandemic scenario.