The Superintendent Registrar records the deaths of all Jersey residents, whether they die on the Island or abroad. Using the death certificate, the Office of National Statistics (ONS) on the mainland codes each death using the ICD-10 system. This allows us to compare the causes of death in Jersey with the rest of the UK.
For a small number of deaths, it can take a long time to finalise the cause (for example if the death occurred abroad or requires an inquest). Sometimes, it can take over a year to complete the death coding. So, we sometimes update the annual total of deaths several years after the deaths occurred. Once five years have elapsed, we don't make any more changes to the figures.
Total deaths
Total number Jersey residents deaths per year, split by sex (male and female)
Source: Public Health Intelligence,
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Follow the links below to read the latest mortality report and further mortality report.
Median age of deaths
Median age at death of Jersey residents, per year
Source: Public Health Intelligence,
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Crude death rate
The crude (meaning not age standardised) rate of death per 1,000 population is calculated by dividing the number of deaths occurring in a year by the mid-year population estimate for that year, then multiplying by 1,000.
Crude death rate of Jersey residents (per 1,000 population)
Source: Public Health Intelligence,
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Premature deaths total
A premature death is any death that occurs before the individual reaches 75 years of age. This is a broad measure of early death, and doesn’t change with technological, medical or public health advances. Premature death provides a robust measure of early death for comparison over time and between different places.
Total number of premature deaths of Jersey residents, per 3 years, split by sex (male and female)
Source: Public Health Intelligence,
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Follow the link below to read the latest premature mortality and avoidable mortality reports.
Premature mortality 2014 to 2016
Further Mortality Report 2020
Premature death rate
The premature death rate is an age-standardised rate. This means we can compare the Jersey rate to rates in England. We calculate the rate by dividing the number of premature deaths occurring each three-year period by the mid-year population estimate for that period, then multiplying by 100,000. We use the 2013 European Standard Population to adjust for differences in age and sex in different populations.
Age standardised premature death rate (per 100,000 Jersey residents), per 3 years
Source: Public Health Intelligence,
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Life expectancy
Life expectancy (LE) is the average number of years a person would continue to live if they experienced the Jersey's current age-specific mortality rates throughout the rest of their entire life. Although life expectancy can be calculated at any age, Statistics Jersey calculate the figure at birth and 65 years of age.
Life expectancy at birth of Jersey residents in years
Source: Public Health Intelligence, download the data
Follow the links below to read the latest life expectancy and healthy life expectancy reports,
Life expectancy report 2019 to 2021
Life expectancy and healthy life expectancy report 2016 to 2018
Life expectancy at 65 years of Jersey residents in years
Source: Public Health Intelligence, download the data
Healthy life expectancy
Healthy Life Expectancy (HLE) calculates the number of years a person can expect to life in 'good' or 'very good' health. Statistics Jersey calculate this figure by applying the proportion of each gender and age group who self-report 'good' or 'very good' health to the life expectancy methodology. Self-reporting of health is captured annually in the Jersey Opinion and Lifestyle Survey (JOLS).
As HLE was first published in 2018 (covering the period 2015 to 2017), there is not yet a chart showing change over time.
Healthy Life Expectancy and proportion of remaining life expectancy in 'good' or 'very good' health for Jersey residents (2016 to 2018)
At birth
| Men
| 66.4
| 82% |
Women
| 70.12 | 83% |
At 65 years
| Men
| 12.6 | 65% |
Women
| 14.5 | 66% |
Source: Statistics Jersey, download the data
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