TOP 10 Countries by Life Expectancy (2025)
Top 10 economies by life expectancy in 2025: an age-standardized lens
Life expectancy at birth compresses mortality risks across all ages into a single, intuitive metric. After the COVID-era shock, global life expectancy has moved back into the low-70s, while high-income settings cluster in the low-80s and the lowest-income regions remain closer to the low-60s. The countries and territories at the top of the 2025 distribution sit in the mid-80s — several years above typical rich-country averages and more than a decade above the global mean.
A useful companion view is age-standardized mortality. Standardization asks: if every country had the same age structure, how many deaths per 100,000 would we observe? That removes part of the “population age” distortion and helps isolate underlying risk profiles. In high-longevity settings, the headline life expectancy figure is the visible tip of a broader pattern: low mortality in childhood, low premature mortality in working ages, and a concentration of deaths at very old ages.
Top 10 in 2025 (both sexes combined, approximate)
Very low mortality across adult ages and strong “compression” of deaths into the late 80s and 90s.
Ultra-low midlife mortality; longevity sustained by long-run risk reduction in cardiovascular disease and stroke.
Rapid multi-decade gains; low all-cause mortality with remaining pressure points in mental health and metabolic risk.
Very low child and infectious mortality; longevity shaped mainly by chronic disease management and injury prevention.
High survival into old age with low premature mortality; strong systems for prevention and high-quality care.
Low mortality across most ages; remaining gaps are often subnational and group-specific rather than national-wide.
Long-run declines in midlife cardiovascular mortality and strong late-life survival, with ageing now a central pressure.
Very low communicable-disease mortality; tight prevention and chronic-disease management help maintain a high ceiling.
Low cardiovascular mortality and broad coverage; longevity depends increasingly on healthy ageing and dementia care.
Convergence to Western European levels; chronic disease and metabolic risk dominate the modern mortality profile.
Table 1. Top 10 by life expectancy (2025 snapshot)
| Rank | Country / territory | Life expectancy | Mortality pattern snapshot |
|---|---|---|---|
| 1 | Hong Kong (China) | ≈ 85.8 | Compressed mortality at very high ages; low premature deaths. |
| 2 | Japan | ≈ 85.0 | Ultra-low midlife mortality; chronic disease shifted to later ages. |
| 3 | South Korea | ≈ 84.5 | Large long-run improvements; mental health and metabolic risks matter. |
| 4 | French Polynesia | ≈ 84.3 | Very low child mortality; NCDs dominate; obesity/diabetes are key watchpoints. |
| 5 | Switzerland | ≈ 84.2 | Low premature mortality; high-quality care supports late-life survival. |
| 6 | Australia | ≈ 84.2 | Broadly low mortality; disparities often reflect within-country inequality. |
| 7 | Italy | ≈ 84.0 | Low cardiovascular mortality; ageing shifts burden to frailty and dementia. |
| 8 | Singapore | ≈ 84.0 | Low communicable mortality; prevention and chronic-care systems are central. |
| 9 | Spain | ≈ 84.0 | Low heart disease mortality; longevity increasingly tied to healthy ageing. |
| 10 | Réunion (France) | ≈ 83.8 | Converged to European longevity; NCDs and metabolic conditions dominate. |
Values are approximate and rounded (≈2024–2025 estimates). Rankings can differ when micro-states or different territory rules are applied.
Chart 1. Top 10 vs world average (stylised, years at birth)
- Hong Kong (China): 85.8
- Japan: 85.0
- South Korea: 84.5
- French Polynesia: 84.3
- Switzerland: 84.2
- Australia: 84.2
- Italy: 84.0
- Singapore: 84.0
- Spain: 84.0
- Réunion (France): 83.8
- World average (approx.): 73.0
The gap is driven less by child survival (already very high in the leaders) and more by differences in adult and late-life mortality.
Methodology
The values shown use a practical “2025 snapshot” approach: the latest UN/World Bank-style life expectancy estimates available around 2024–2025 are treated as representative of 2025 conditions. Rankings are assembled from commonly used demographic tables and comparative portals that largely draw on the UN World Population Prospects series and related international datasets. Numbers are lightly rounded for readability.
Life expectancy at birth is a period measure: it assumes a newborn experiences today’s age-specific mortality rates throughout life. It does not predict an individual’s lifespan and can move with shocks (pandemics, heatwaves) or reporting revisions. Comparisons are improved by pairing life expectancy with age-standardized mortality, which helps separate underlying risk levels from differences in population age structure.
Limitations include classification choices (sovereign states vs territories), possible revisions to mortality estimates, and the fact that life expectancy captures length of life but not necessarily healthy years lived. Healthy life expectancy (HALE), cause-of-death profiles, and inequality measures within countries are important complements.
Insights and patterns in 2025
The leaders share a consistent profile: extremely low mortality before age 60, very low injury and violence death rates, and strong survival into the late 80s and 90s. This creates mortality compression — most deaths occur at very old ages instead of being spread across adulthood.
East Asian leaders combine high coverage of essential healthcare and long-run reductions in stroke and heart disease with behavioural and environmental advantages. European leaders similarly benefit from broad healthcare access and low premature mortality, with chronic diseases increasingly concentrated in later life.
The next frontier is improving outcomes in older ages: dementia care, frailty prevention, diabetes control, and reducing social and mental-health driven premature deaths. In tightly clustered top groups, small changes in midlife mortality can reshuffle ranking positions.
What this means for the reader
Use life expectancy rankings as a system signal, not a personal forecast. High life expectancy usually reflects strong prevention, fast access to care, safer roads, lower violent death risk, and effective chronic-disease management — factors that shape day-to-day wellbeing and long-run planning.
If you compare countries for relocation, study, or long-term work, treat life expectancy as a starting point and then check drivers that affect everyday life: air quality, injury risk, primary care access, affordability, and how well ageing-related conditions are managed.
FAQ
Why does Hong Kong often rank #1?
Is life expectancy the same as “how long people actually live”?
Why include territories like Réunion or French Polynesia?
What does “age-standardized mortality” add to the story?
Why do women usually have higher life expectancy?
Can rankings change quickly from year to year?
Mortality patterns behind very high life expectancy
At the top of the life expectancy distribution, differences are no longer about basic survival. Infant and child mortality is already extremely low, so the decisive margins come from adult and older-age risk: cardiovascular disease, stroke, injuries, suicides/overdoses, and how effectively chronic conditions are managed over decades. This is why an age-standardized lens matters: it keeps attention on underlying risks rather than the demographic fact that some populations are older than others.
What “mid-80s” life expectancy implies in practice
- Low premature mortality: fewer deaths in the 30–60 age band from heart disease, stroke, injuries, and treatable cancers.
- High late-life survival: more people living into the late 80s and 90s, shifting the burden toward frailty and dementia care.
- Prevention compounding: decades of risk reduction (tobacco control, safer roads, vaccination, blood-pressure management) add up.
- Chronic disease as the main battleground: diabetes, ischemic heart disease, stroke, and cancers dominate the mortality profile.
Mortality compression (illustration)
High-longevity settings tend to “compress” deaths toward older ages. The illustration below is conceptual: it shows how a low-risk setting has fewer deaths in midlife and a higher concentration at later ages.
2025 risk watchlist even in top performers
- Metabolic risk: obesity and diabetes can raise cardiovascular and kidney mortality over time.
- Mental health: suicides and substance-related deaths can lift working-age mortality even in rich systems.
- Healthy ageing: dementia, falls, and frailty become decisive as more people reach very old ages.
- Environmental exposure: heat, air pollution, and indoor risks (especially for older adults) can shift mortality in bad years.
Country and territory profiles
Hong Kong (China) — why the distribution compresses so late
- Mortality is pushed to later ages, lifting period life expectancy.
- Chronic disease management and rapid access to care matter more than “headline spending.”
- As the population ages, dementia and frailty care become central to keeping the ceiling high.
Japan and South Korea — ultra-low midlife mortality as the lever
- Long-run reductions in stroke and heart disease are decisive.
- Prevention and early detection compound over decades.
- Future stability depends on mental health outcomes and metabolic risk trends.
Switzerland, Italy, Spain — European longevity with late-life pressure
- Cardiovascular mortality has fallen for decades; remaining gains are harder and slower.
- Ageing shifts the burden toward dementia, falls, and multi-morbidity.
- Within-country inequalities often explain more variation than national averages suggest.
Australia, Singapore — high performance with different system designs
- Low injury mortality and strong primary care are key pillars.
- Equity gaps can coexist with high national averages and matter for future progress.
- Older-age care and diabetes control are recurring priorities.
French Polynesia and Réunion — territories that converge into the mid-80s band
- Chronic disease profiles (especially metabolic conditions) shape the next decade’s risks.
- Small-population dynamics can amplify year-to-year noise in estimates.
- Healthy ageing systems can become the limiting factor as survival improves.
Interpretation: what the 2025 life expectancy ranking does and doesn’t measure
The top of the life expectancy table is best read as a summary of system-wide mortality risk rather than a simple “healthiest people” label. A country can have high life expectancy while still facing major challenges (inequality, chronic disease burden, mental health risks), and a country with lower life expectancy can improve rapidly with the right mix of prevention, safety, and access to care.
The metric also hides distribution: national averages can mask large subnational gaps by income, education, and region. For personal decisions and policy analysis, the most informative approach is to pair life expectancy with complementary indicators: healthy life expectancy (HALE), age-standardized mortality by cause, and measures of inequality in survival.
Policy takeaways
- Keep midlife mortality low: cardiovascular prevention (blood pressure, smoking, diet), cancer screening, and safer work/roads deliver large gains.
- Make prevention easy: tobacco control, vaccination, air quality, and healthy urban design compound over decades.
- Shift focus to healthy ageing: dementia care, fall prevention, frailty management, and integrated chronic-care pathways matter as survival rises.
- Protect mental health: suicide and substance-related deaths can materially reduce life expectancy even in high-income settings.
- Reduce inequality in survival: targeted primary care and social protection often yield outsized returns compared with universal “average” improvements.
How to use this ranking intelligently
- Use it as a first-pass benchmark for mortality environment, then look at cause-of-death structure and health system access.
- Compare trends over time, not only one-year positions — small changes can reshuffle tightly clustered leaders.
- If your goal is wellbeing rather than longevity alone, add healthy life expectancy, disability burden, and affordability of care.
Sources (official and international datasets)
Figures in the Top 10 table are rounded and presented as approximate 2025 snapshot values based on 2024–2025 estimate-style reporting. For formal analysis, always use the original datasets and their documentation.
