Unemployment and mental health
Why both require action for our COVID-19 recovery
Unemployment and mental health
16 April 2021

Key points
- The relationship between mental health and unemployment is bi-directional. Good mental health is a key influence on employability, finding a job and remaining in that job. Unemployment causes stress, which ultimately has long-term physiological health effects and can have negative consequences for people’s mental health, including depression, anxiety and lower self-esteem.
- Projections from the Office for Budget Responsibility (OBR) show the UK unemployment rate reaching 6.5% by the end of 2021, which means an additional 0.9 million people in unemployment compared with before the COVID-19 pandemic. Our analysis, based on preliminary findings from Thomson, Katikireddi et al, suggests the increase in total unemployment, and the associated rise in long-term unemployment, will result in an additional 200,000 people having poor mental health. This indicates there would be 800,000 unemployed people with poor mental health by the end of 2021.
- The rise in unemployment is not distributed evenly across society. While the unemployment rate was estimated at 5.1% in January 2021, the highest rates were among young people aged 18–24 (14.0%), people with lower qualifications (7.8%) and people from minority ethnic groups (7.6%).
- In January 2021, 43% of unemployed people had poor mental health. This was greater than for people in employment (27%) and for people who were on furlough (34%). This suggests that furloughing has provided some protection for mental health.
- Workers with existing mental health conditions are also more likely to work in sectors that have had to close due to COVID-19 restrictions, such as hospitality, making them vulnerable to job losses. This will potentially widen the gap in employment rates between those with and those without mental health conditions.
- Maintaining high employment will be key to the UK’s recovery from the COVID-19 pandemic – but failing to tackle poor mental health will create a drag on future prosperity. Policies to tackle unemployment should also aim to improve mental health, for example:
- Preventing unemployment arising in the first place through the gradual phasing out of the Coronavirus Job Retention Scheme (rather than a sudden end). Job creation schemes and employment support programmes should be targeted at sectors with high vacancies.
- Ensuring the social security system supports people with poor mental health by providing an adequate income, which (at a minimum) means making the Universal Credit uplift permanent, and tailoring expectations of job seeking activity and support to find work for people with poor mental health.
- Designing employment programmes to support better mental health with personalised interventions for people with mental health problems. There should be a focus on securing good quality work, as well as skills training to address underlying barriers to employment (such as low qualification levels).
Figure 1 provides some indication of the likely pattern of unemployment to come, but there are other important economic consequences to consider. For instance, while mothers are less likely to be unemployed, IFS research has shown that mothers have (on average) reduced their working hours relative to fathers during the pandemic. This is likely to leave mothers at greater risk than fathers of having lower earnings in future, even if they remain employed.
The labour market impact on disabled people has been captured in more detail by researchers from Sheffield University (funded by the Health Foundation). Using the Labour Force Survey, they have found a new ‘employment gap’ opening during the pandemic, where people with a mental or physical disability are more likely to be ‘working reduced hours due to economic and other causes’. Workers with mental health problems are also more likely to work in sectors that have had to close, making them vulnerable to job losses and potentially widening this employment gap.
Geographical variation in unemployment changes
The pattern of increases in unemployment also varies significantly by geographical area, partly reflecting the employment sector mix, insecurity of work and differences in how local restrictions have been applied over time. Figure 2 shows the change in unemployment benefit receipt (the unemployment claimant count as a share of the working age population) between February and November 2020, compared with the existing concentrations of unemployment benefit receipt prior to the pandemic. Local areas with higher concentrations of unemployment benefit receipt prior to the pandemic are more likely to have experienced greater increases in the share of population in receipt. These areas are typically more likely to be deprived, and to be in the north of England or to be coastal towns.
Figure 2
Impact on mental health of unemployment through the pandemic
The experience of the previous decade shows that despite a period of sustained employment growth, inequalities in employment outcomes persisted. Once pandemic support measures end, the same inequalities are likely to be reinforced. Policy can play an important role in shaping the recovery to reduce these differences in unemployment while also improving mental health.
However, the traditional policy response of benefits and employment schemes to address unemployment fail to provide specific support with mental health problems. The only influence such schemes have on mental health is indirect – through the health benefits that can be accrued by being in work. While increasing employment should be a key goal of the recovery, poor policy design can exacerbate society’s mental health problems.
Rates of poor mental health increased during the first lockdown, and although depression and anxiety levels improved as the initial restrictions eased, they began to decline towards the end of summer and have been worsening since. The UCL COVID-19 Social Study shows that happiness and life satisfaction levels in February 2021 were at their lowest since the study began in March 2020. The economic situation is one (but not the only) factor in heightened levels of poor mental health.
Using the January wave of the UKHLS, Figure 3 shows the proportion of people with poor mental health (based on the GHQ-12 question set) categorised by their employment status in January 2021. It shows that in January 43% of unemployed people had poor mental health. The prevalence of poor mental health was lower for people on furlough (34%) and lower still for those in work (27%). This suggests that, as found previously, furloughing appears to offer some protection against mental health decline.
Figure 3
The incidence of poor mental health also varies by population group. Figure 4 shows the highest risk groups: women, mothers and people younger than 45. Previous waves – such as April and November 2020 – showed that the age group with the highest share of people with poor mental health was people younger than 25. This change in pattern appears to be driven by the high prevalence of poor mental health of mothers shown in this wave. Taking mothers out of the sample leaves the share of 18–25 year olds with poor mental health at 30%, but reduces the share of 35–44 year olds to 29%.
Such analysis and an understanding of the mental health needs of different groups is important for policy design. Having schemes that support individuals into employment is crucial, but so is ensuring those schemes also provide mental health support that is targeted to at-risk groups such as younger people and women.
Figure 4
Mental health support
One economic reason to ensure employment policy supports better mental health is the potential cost implications for wider health services, particularly mental health services. Upstream action and investment in mental health can prevent further financial and capacity burdens on already overstretched services.
In the UK, GPs are usually the first port of call for accessing mental health services. GPs then refer patients onwards to the most appropriate support. In the past year, initially steering people towards self-led mental health services such as apps has become more commonplace. And some services do not require GP referral – people can self-refer for psychological therapy, for example.
Previous Health Foundation analysis has shown that on average over the next 3 years there could be 11% more mental health referrals every year, costing between £1.1bn and £1.4bn extra each year. This estimate only accounts for changes to mental health observed up to autumn 2020, including delayed referrals due to restrictions. A further increase in poor mental health because of ongoing restrictions and economic issues in 2021 would add to this figure.
Rather than relying on the NHS’s already overstretched mental health services to meet this excess demand, it would be better to help stem the root causes of these issues by using upstream policy and systems more effectively.
This long read features original Health Foundation analysis of data from an online YouGov survey, which was designed and commissioned by the Resolution Foundation in partnership with the Health Foundation.
The figures included in this blog have been analysed independently by the Health Foundation and do not represent the views of YouGov or the Resolution Foundation.
The survey was conducted between 22–26 January 2021, using an online interview with members of the YouGov Plc UK panel (made up of more than 800,000 individuals) who have agreed to take part. The total sample size was 6,389 adults, aged 18–65.
The COVID-19 impact inquiry
The Health Foundation’s COVID-19 impact inquiry is exploring the pandemic’s implications for health and health inequalities in the UK. Reporting in July 2021, it will consider how people’s experience of the pandemic was influenced by health and existing inequalities as well as the likely impact of measures to control the virus on people’s health and health inequalities.
Upholding high employment levels and prioritising mental health will be vital to the UK’s recovery from the pandemic, and this analysis will contribute to the work of the inquiry.
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