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Health inequalities

Key stats

Deaths were 1.77 times higher for women and 1.76 times for men per 100,000 in the most deprived areas than the least deprived areas in 2019.
of people in the most deprived areas report poor health by age 55–59, over two decades earlier than those in the least deprived areas.
In 2019, female life expectancy in the UK was ranked 26th among 38 OECD countries. Male life expectancy was ranked 19th out of 38.
19.7 years
Women in the least deprived areas in England live a further 19.7 years in good health than those in the most deprived. For men, it's 18.4.

A woman born in Wokingham can expect to live 15 more years in good health than a woman born in Blackpool. A man born in Richmond upon Thames can expect to live 17 more years in good health than a man born in Belfast.

This stark inequality is played out in communities around the country, showing that the circumstances in which we live (the wider determinants of health) shape our health. The pandemic has highlighted these inequalities, with people from the poorest areas suffering disproportionately from COVID-19.

In the decade prior to the pandemic life expectancy improvements had stalled, health inequalities were large and growing – between different parts of the UK, and between the most and least deprived areas.

However, these inequalities are not inevitable. Addressing a deep-rooted, society-wide trend of this nature requires action by communities, business and government. This should be accompanied by a whole government strategy to improve health and health equity, with a focus on the wider factors – beyond health care and social care – that influence our health.

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Health inequalities

Money and resources
Poverty | Income | Debt

Quality | Unemployment | Security

Affordability | Quality | Stability | Security

Active travel | Social exclusion | Trends

Family, friends and community
Personal relationships | Community cohesion

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Pollution | Green space | Safety | Amenities

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This is part of Evidence hub: What drives health inequalities?

Data, insights and analysis exploring how the circumstances in which we live shape our health
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