Employment in the UK: Economic indicators
Employment data tells us about the strength of the labour market. Find the latest data on UK employment levels and rates.
This Insight examines which workers have been most economically impacted by the outbreak of coronavirus.
This is a fast-moving issue and should be read as correct at the date of publication (02.06.20).
The outbreak of the coronavirus has impacted groups of workers differently. For those who can no longer work or must work less because of the pandemic, there has been a significant economic effect.
This Insight examines which workers have been most economically impacted, and breaks these groups down by ethnicity, gender, disability, working hours, and rates of pay.
Workers in the sectors most affected by the pandemic are more likely than average to have been at a disadvantage in the labour market before the outbreak.
The Institute for Fiscal Studies (IFS) outlined a number of sectors which have shut down as a result of the coronavirus pandemic, such as retail, passenger transport, accommodation and food, and arts and leisure.
Our analysis of the Labour Force Survey shows that of the workers in the shut down sectors outlined by the IFS:
The charts below show the composition of the workforce of shut down sectors outlined by the IFS.


These groups of workers were at a disadvantage in the labour market before the coronavirus pandemic. According to Office for National Statistics figures:
Some shut down sectors are especially reliant on the groups of workers discussed above.
Over a quarter (27%) of the workers in the passenger transport sector are from a BAME background.
17% of the workers in the shut down sections of the retail sector are disabled, and 57% are women.
34% of vulnerable jobs in the accommodation and food sector are done by 16 to 24-year-old workers and 16% of these workers are from a BAME background.
The Resolution Foundation estimates that the median weekly pay for a worker in a shut down sector is £348, compared to £479 a week for all workers in the UK. The IFS found that one third of employees in the bottom 10% of earners work in shut down sectors, compared to 5% in the top 10%.
ONS data shows the number of people claiming unemployment-related benefits increased by 69% between March and April 2020.
The claimant count increased considerably for men and women across different age groups, shown in the chart below.
Some groups experienced a higher than average increase in claimants. People aged 25-49 experienced the largest increase, with 526,500 new claimants (75%). Men in this age group are particularly affected, with 333,000 extra claimants – an 84% increase.

Key workers and those in occupations with the highest coronavirus-related deaths, are at a heightened health risk than other workers.
These workers are more likely than average to be women and from a BAME background, as well as born outside the UK. We have looked at this in more detail in Coronavirus: Which workers are most at risk?
Coronavirus: Impact on the labour market, House of Commons Library
Coronavirus: Which workers’ health is most at risk?, House of Commons Library
Unemployment by ethnic background, House of Commons Library
The gender pay gap, House of Commons Library
People with disabilities in employment, House of Commons Library
Youth unemployment statistics, House of Commons Library
People claiming unemployment benefits by constituency, House of Commons Library
Sector shutdowns during the coronavirus crisis: which workers are most exposed?, Institute for Fiscal Studies
About the author: Brigid Francis-Devine is a researcher at the House of Commons Library and specialises in labour markets, poverty and inequality.
Photo by Evan Wise on Unsplash
Employment data tells us about the strength of the labour market. Find the latest data on UK employment levels and rates.
This briefing presents the latest statistics on youth unemployment in the UK as well as comparisons with other OECD countries.
Unemployment data tells us about the strength of the labour market. Find the latest data on UK unemployment levels and rates.