Education saves lives: new study reveals global link between learning and longevity
A major international study involving researchers from The University of Manchester has found that education is one of the strongest predictors of how long people live. Using a new statistical approach to overcome gaps in global data, the research shows that people with more education live significantly longer - even in countries where official records are incomplete.
Key findings
- Higher levels of education are consistently linked to longer life expectancy
- In some countries, the gap between education levels exceeds a decade of life
- Women aged 20-49 show particularly large differences in mortality by education
- New statistical methods allow researchers to estimate mortality even where data is missing
- The study provides new evidence from under-researched regions including North Africa and Western Asia
What did the study find?
The study, funded by the Austrian Academy of Sciences analysed mortality patterns across 13 countries in South-East Europe, Western Asia and North Africa between 1980 and 2015.
Researchers reconstructed mortality rates by age, sex and education level using a new statistical model designed to work even where official data is incomplete or inconsistent.
The findings revealed a clear and consistent pattern: people with more education live significantly longer than those with little or no formal education.
How was the research done?
The research was carried out by Professor Arkadiusz Wiśniowski from The University of Manchester, alongside Dr Andrea Tamburini and Dr Dilek Yildiz from the International Institute for Applied Systems Analysis in Austria.
The team developed an innovative modelling framework that combines data from multiple international sources, including the United Nations, Eurostat and Demographic and Health Surveys.
This approach made it possible to estimate life expectancy differences even in countries where reliable birth and death records are limited.
Where are the biggest differences seen?
In some countries included in the study, the difference in life expectancy between people with higher and lower levels of education was equivalent to more than ten years.
The gap was particularly striking among women aged 20 to 49, where those with secondary education or higher experienced much lower mortality rates.
Why does education affect life expectancy?
The findings highlight the wide-ranging impact of education on people’s lives.
“Access to education means better health knowledge, better jobs, and better access to healthcare - but it also changes how people make decisions about their lives,” said Professor Arkadiusz Wiśniowski. “It’s a powerful social equaliser.”
Why has this been hard to measure before?
Until now, much of the global evidence linking education and life expectancy has come from high-income countries with strong data systems.
In many parts of the world, incomplete or inconsistent records have made it difficult to understand how education shapes health outcomes.
For many countries, especially those with incomplete systems of registering births and deaths, there are simply no reliable records showing how education and life expectancy are linked. Our model allows us to fill those gaps, and what we found is clear - education literally saves lives.
Why does this matter?
By filling these data gaps, the study provides one of the most comprehensive pictures to date of how education influences survival across diverse global populations.
The model could now be applied more widely to help governments and international organisations better understand population health and plan future services.
What are the implications?
The researchers say the findings strengthen the case for treating education as a key public health intervention, not just a social or economic priority.
“We hope this work helps policymakers see education not only as a path to better jobs, but as a key public health intervention,” said Professor Wiśniowski. “Investing in education is investing in life itself.”
Publication details
This research was funded by the Austrian Academy of Sciences and is published in Demographic Research.
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