Building on previous releases that looked at rates of death involving the coronavirus (COVID-19) by occupation, this bulletin aims to understand the impact of lockdown on these rates.
Between 9 March and 30 June 2020, prior to the widespread easing of lockdown restrictions, 5,330 deaths involving COVID-19 in the working age population (those aged 20 to 64 years) of England and Wales were registered.
72.0% of the total number (3,839 deaths) were likely to be the result of an infection acquired before lockdown.
For both sexes, age-standardised rates of death involving COVID-19 by occupation were statistically significantly lower during lockdown than before lockdown.
Across the entire time period, some groups of occupations continued to have high rates of death involving COVID-19, when compared with rates among those of the same age and sex in the population.
Among men, four of the nine major occupation groups (elementary; caring, leisure and personal services; process, plant and machine operatives; and skilled trades) had statistically significantly higher rates of death involving COVID-19 both before and during lockdown, when compared with rates among those of same age and sex in the population.
Caring, leisure and other services was the only major occupation group to have a statistically significantly higher rate of death involving COVID-19 among women before and during lockdown, when compared with rates among those of the same age and sex in the population.
Among health and social care professionals, rates of death involving COVID-19 in men were around three times higher when the virus was more likely acquired before lockdown than during lockdown; in women, rates were around two times higher.
Reasons for these findings are complex, but factors like the level of exposure to others before and during lockdown, the ability to work from home, whether an occupation was furloughed, and where someone lives could all be playing a role.
Previously published analysis showed that men working in elementary occupations (jobs that perform mainly routine tasks, such as construction workers and cleaners) and men working in caring, leisure and other service occupations (such as nursing assistants, care workers, and ambulance drivers) had the highest rates of death involving COVID-19, when compared with the rate among all men of the same age and sex in England and Wales. Elevated rates of death involving COVID-19 were also found among men working in process, plant and machine operative occupations (such as operating machinery in factories in addition to transport drivers such as taxi or bus drivers); administrative and secretarial occupations (such as book-keepers); skilled trade occupations (such as farmers, welders, electricians, and roofers) and sales and customer service occupations (such as sales and retail assistants).
For all groups of occupations, mortality rates among men were statistically significantly lower during lockdown
Overall, rates of death involving COVID-19 were statistically significantly lower in all occupation groups during lockdown (Figure 2), when compared with the rates where the infection is likely to have been acquired before lockdown (Figure 1). Lockdown resulted in fewer people being infected with COVID-19, resulting in lower mortality rates.
When comparing rates between the two groups, we found four main patterns of findings.
Raised rates before and during lockdown
Four of the six major group occupations with raised rates in our previously published analysis were found to have raised rates of death involving COVID-19 in the before and during lockdown groups (Figures 2 and 3), when compared with the corresponding rate of death involving COVID-19 among men of the same age in the general population. These were: elementary occupations; caring, leisure and personal service occupations; process, plant, and machine operative occupations; skilled trades occupations. Of the specific occupations included in these groups, previous analysis shows that security guards, care workers and home carers, taxi and bus drivers, vehicle technicians and mechanics, had some of the highest rates of death involving COVID-19. Many of the occupations in these groups will have continued working during the pandemic and would be unable to work from home, possibly increasing their chances of catching the virus.
Low rates before and during lockdown
Men working in professional occupations and professional associate occupations had statistically significantly lower rates in both the before and during lockdown groups (Figures 1 and 2).
Low rates during lockdown only
Men working as managers, directors, and senior officials had a statistically significantly lower rate in the during lockdown group (Figure 2). In the before lockdown group the rate in this occupation was like that seen in the general population among men of the same age (Figure 1).
High rates before lockdown only
Men working in administrative and secretarial occupations had a statistically significantly higher rate in the before lockdown group (Figure 1). In the during lockdown group, the rate in this occupation was like that seen in the population among men of the same age (Figure 2).
We did not find any occupation groups with raised rates in the lockdown group only. Possible explanations for occupations having statistically significantly lower rates during lockdown include their ability to work from home or being furloughed (see Section 6: Factors that may be associated with COVID-19 related deaths by occupation for further information).
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Women had far fewer numbers of deaths involving COVID-19 compared with men of the same age (20 to 64 years), for deaths registered up to 30 June 2020. Consequently, our previous analysis showed the caring, leisure and other service occupations was the only group with a raised rate of death involving COVID-19 compared with the rate among women of the same age in the general population. This finding was largely due to the high rate among care workers and home carers.
As with men, rates of death involving COVID-19 were statistically significantly lower in all occupation groups during lockdown (Figure 4), when compared with the rates where the infection is assumed to have been acquired before lockdown (Figure 3).
Women working in caring, leisure, and other service occupations had elevated rates in both the “before” and “during” lockdown groups
When looking at these deaths where the time of COVID-19 infection is assumed to be either before or during the period of lockdown, only women working in caring, leisure and other service occupations were found to have statistically elevated rates. This was found to be the case in the before and during lockdown groups (Figures 3 and 4), when compared with the corresponding rate of death involving COVID-19 among women of the same age in the general population. In our previous releases, the higher rate in the caring, leisure and other service occupations group was found to be largely explained by carers and home carers. Such occupations have likely continued to work during the pandemic and are unable to work from home, possibly increasing the likelihood of being infected.
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Occupation was defined using the Standard Occupational Classification 2010 (SOC 2010). Full lists of occupations used in the analysis are reported in the accompanying datasets, and descriptions of these can be found in the Office for National Statistics (ONS) SOC Hierarchy. Deaths and the population at risk (see Measuring the data) were both coded using this classification system.Nôl i'r tabl cynnwys
The figures described in this bulletin include deaths registered in England and Wales between 9 March and 30 June 2020. Deaths were only included in the analyses if the country of usual residence was also England and Wales.
Deaths were defined using the International Classification of Diseases, 10th Revision (ICD-10). Deaths involving the coronavirus (COVID-19) include those with an underlying cause, or any mention, of ICD-10 codes U07.1 (COVID-19, virus identified) or U07.2 (COVID-19, virus not identified). We applied an age restriction, selecting deaths among those aged 20 to 64 years, because of limitations of occupational mortality data for those below the age of 20 years and those above the age of 64 years.
Occupation is reported on the death certificate at the time of death registration by the informant. This information was then coded using the Standard Occupational Classification 2010 (SOC 2010) (see the Glossary).
During the period of analysis, a total of 3,474 deaths and 1,856 deaths involving COVID-19 were registered among men and women aged 20 to 64 years, respectively. Among men, 82.1% of the deaths (or 2,852 deaths) had information on occupation recorded on the death certificate. For women, this figure was 1,161 deaths (or 62.6%). For the 622 deaths with no recorded information on occupation among men, the majority of these were because the occupation was not stated on the death certificate (88.6% of these deaths, or 551 deaths). Among women, the majority of the 695 records with no information on occupation were recorded as: full-time carers of the home and/or dependent relatives or that they were working voluntarily (50.8% of these deaths, or 353 deaths) or the occupation was not stated (45.3% of these deaths, or 315 deaths). Of the records included in the analysis of COVID-19 deaths by occupation, the mean age at death for men was 55.7 years and for women it was 55.0 years.
Further information on death registrations data can be found in the Mortality statistics in England and Wales QMI.
Timeline of the coronavirus (COVID-19) disease
Due to the required information not being available on death certificates, in the analysis we made assumptions on the timeline of COVID-19, based on the evidence that is currently available.
The first assumption is the amount of time between infection with COVID-19 and the onset of the first symptoms (incubation period). Government guidelines show the incubation period to have a maximum of 14 days.
The second assumption is the amount of time between initial symptom onset and death, in the worst cases of the disease. Evidence on this is still emerging, however, several studies have shown this to be around 20 days on average (Wu et al., 2020; Zhou et al., 2020). However, these studies have small sample sizes and were conducted abroad, and we do not know whether the findings can be generalised to England and Wales.
Based on the available evidence we assume a timeline of 34 days (see Table 1) from infection to death in the worst cases of the disease. Despite the limitations, the data described in this bulletin are generally consistent with the assumptions made - when looking at the daily number of deaths involving COVID-19 among 20- to 64-year-olds, you see a reduction in the number of deaths around 32 to 34 days after the date of lockdown on the 23 March 2020.
|Time from symptom|
onset to death
|Total number of|
|14 days||20 days||34 days|
Download this table Table 1. Assumptions on the timeline of COVID-19 used in this bulletin.xls .csv
Population counts for occupations were obtained from the Annual Population Survey (APS), using data collected in 2019. The APS is the largest ongoing household survey in the UK, based on interviews with members of randomly selected households. The survey covers a range of diverse topics, including information on occupation, which is then coded using the SOC 2010. The population counts were also restricted to those aged 20 to 64 years and were weighted to be representative of those living in England and Wales. Further information on the APS can be found in the APS quality and methodology information (QMI).
Mortality rates for the broader population of all usual residents in England and Wales were based on the mid-year population estimates for 2018.
Figures in the commentary are based on age-standardised mortality rates (ASMR). These refer to a weighted average of deaths per 100,000 people of a particular age group that is standardised to the 2013 European Standard Population. They allow for differences in age structure of populations and therefore allow valid comparisons to be made between the sexes and different occupations.
The ASMRs in this release have been adjusted so that it is possible to compare rates in those who likely acquired the before lockdown with rate for those who likely acquired the virus during lockdown. For each occupation, we did this by calculating the ASMR involving COVID-19 for each period, and we then adjusted for the number of days in each period:
"Period ASMR" is the calculated rate for each period, in other words the rate for before lockdown or during lockdown
M is the number of days in 2020
N is the number of days in each period - based on the data included in this release, this was 48 days for the before lockdown group, and 66 days for the during lockdown group
With the adjustment, the magnitude of the rates reported in this release are higher than those published previously, and comparisons cannot be made.
The commentary reports findings for occupations with rates that are statistically significantly higher than the rate among those of the same age and sex in England and Wales. Significance has been determined using 95% confidence intervals, which provide the range of values within which we are 95% confident that the true value lies. Instances of non-overlapping confidence intervals between figures indicate the difference is unlikely to have arisen from random fluctuation. The 95% confidence intervals for the estimates are available in the accompanying datasets.Nôl i'r tabl cynnwys
In this bulletin, we only refer to occupations that have at least 20 deaths. For these, reliable age-standardised rates can be calculated, reducing the likelihood of the findings being a result of chance. In our accompanying datasets, rates have been marked as unreliable where there are fewer than 20 deaths, and we have not produced rates for occupations with fewer than 10 deaths. A robust method is used for the analysis: age-standardised rates allow for differences in age structure of populations and therefore allow valid comparisons to be made between the sexes and different occupations.
Quality assurance procedures have been undertaken throughout all stages of the analysis to minimise the risk of error. We also conducted sensitivity analyses that varied the timeline of the coronavirus; these analyses showed similar findings compared to those reported in this bulletin.
The analysis is based on assumptions on the timeline of COVID-19, including the length of time between acquiring the virus and symptom onset, and between symptom onset and death in the worst cases of the disease. For some people, the incubation period for COVID-19 will be shorter than 14 days, and the time between onset of symptoms and death will vary.
This analysis does not prove conclusively that the observed rates of death involving the coronavirus (COVID-19) are necessarily caused by differences in occupational exposure. In the analysis we adjusted for age, but not for other factors such as ethnic group, place of residence or deprivation. We have also published an article that explores possible differences in occupation exposure to COVID-19. Additionally, the analysis only considers the occupation of the deceased. We have not taken account of the occupations of others in the household, which could increase exposure to other members of the same household.
The results could change as more deaths are registered over the coming weeks and months. In particular, there may be deaths in some occupations that cannot yet be registered because a coroner's inquest is required. For the deaths involving COVID-19 described in this release, the median delay between the date of death and the date of death registration was four days.
The data were taken from two separate sources: death certificates and the Annual Population Survey (APS). The findings could be impacted by a degree of bias because of the misalignment of occupation data between the two sources.
The occupation recorded on the death certificate is reported by the informant and likely reflects the deceased's main lifetime occupation or the occupation at the time of death. It is also possible that, when they died, the deceased was retired, unemployed or in a different job altogether. Despite this, the occupations found to have higher rates of death involving COVID-19 are generally consistent with recent literature on the occupations that are more likely to be exposed to the coronavirus.
With the data recorded on death certificates on occupation, we are unable to tell whether the deceased was furloughed at the time of death.
At the time of analysis, we used the most recently available occupation populations, based on data collected in 2019. The analysis may be affected if there has been a rapid increase or decrease in the number of workers in a specific occupation since then.Nôl i'r tabl cynnwys
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