Deprivation in England Linked to Significant Gap in Premature Mortality Rates
A new study reveals that residents in England's most deprived areas are more than twice as likely to die before age 75 compared to those in affluent regions.
By Larissa Bell ·

Residents of the most economically deprived areas in England face a significantly higher risk of dying before the age of 75 compared to those in more affluent communities. A new analysis by the Health Foundation reveals that individuals in these disadvantaged regions are more than twice as likely to experience premature death. The study highlights a persistent disparity in life expectancy that is closely tied to geographic and socioeconomic factors.
The research utilized demographic data from the 2021 census alongside death records spanning from March 2021 to December 2023. The analysis defined premature mortality as any adult death occurring before the 75th birthday. The findings indicate that both men and women living in the most deprived areas have a risk of early death that is 2.3 times greater than their counterparts in the least deprived areas.
Specifically, the rate of premature deaths in the most deprived locations stood at 815 per 100,000 people. In contrast, the rate in the least deprived areas was 353 per 100,000. This gap underscores the profound impact that local economic conditions can have on an individual's lifespan, regardless of gender.
Educational attainment and employment status also played a critical role in the observed disparities. Women with no formal qualifications had a premature mortality rate 2.5 times higher than women holding a degree or higher. Similarly, men who were long-term unemployed or had never worked faced a rate 3.5 times higher than those in managerial, administrative, or professional roles.
Regional variations were also pronounced. The north-east, north-west, and Yorkshire and The Humber regions exhibited the highest levels of inequality, while London recorded the lowest. For instance, the rate for women who were long-term unemployed or had never worked was 796 per 100,000 in the north-west. This figure was 72% higher than the rate in London, which stood at 462 per 100,000.
The study also points to a broader decline in healthy life expectancy across the UK. Previous analyses have suggested that the health of the UK population is not improving at the same steady pace seen in countries such as Japan, Norway, and Spain. This trend raises concerns about the long-term trajectory of public health in the nation.
Freya Tracey, principal data analyst at the Health Foundation, stated that the findings lay bare the scale of inequalities shaping people's chances of living a long and healthy life. She emphasized that where a person lives and the opportunities available to them should not determine their risk of dying early. Tracey called for a cross-government approach to address the building blocks of health, including education, employment, and local economic conditions.
Tracey further noted that the government's approach to devolution must support local areas in delivering preventive measures to reduce health inequalities. She warned that without sustained action, these disparities will continue to cut lives short. The Department of Health and Social Care has been approached for comment on the findings.
The analysis also examined ethnic differences in premature mortality. Black Caribbean men recorded the highest male rate at 573 deaths per 100,000, closely followed by white British men at 537. Chinese men had the lowest rate at 284 per 100,000. Among women, white British and Black Caribbean women had the highest rates at 370 and 367 per 100,000 respectively, while Chinese women had the lowest at 181 per 100,000.
Jabeer Butt, chief executive of the Race Equality Foundation, commented on the ethnic data. He noted that while lower premature mortality in some groups might seem to challenge common assumptions about racism and health, it does not imply that racism is unimportant or that these groups experience better overall health. Butt argued for a broader analysis that considers how migration, poverty, housing, and discrimination interact to shape health outcomes.





