Gender Gap in Life Expectancy: Why Women Live Longer
Gender Gap in Life Expectancy: Why Women Live Longer in 2025
Women outlive men in virtually every country on Earth — a pattern so consistent across cultures, climates and income levels that it is one of the most robust facts in global health. In 2025, the global gender gap in life expectancy stands at approximately 4.3–4.4 years, according to WHO and IHME data. Yet the gap is not uniform: it ranges from under 3 years in high gender-equality societies to nearly 11 years in parts of Eastern Europe. This article examines the biological, behavioural and social drivers of the gap, provides a full comparative data table, and explains what a narrowing gap would require — and what it would mean.
The gender difference in lifespan is not a fixed biological constant. It is the cumulative result of advantages and disadvantages accumulated across a lifetime — and a large fraction of it can be closed through policy and individual behaviour. Understanding the gap is therefore not merely academic: it has direct implications for healthcare systems, pension design, occupational safety, and men's and women's own life decisions.
Why women live longer: three layers of explanation
Three overlapping domains consistently explain the gender gap. Their relative contributions vary by country and era, but all three are always present.
- Hormonal protection: Oestrogen lowers LDL and raises HDL cholesterol, reducing cardiovascular risk before menopause. Heart disease kills men at a 50% higher rate than women (WHO 2022).
- Genetic redundancy: Two X chromosomes provide a backup copy if one carries a harmful mutation. Men's single X chromosome is fully exposed to X-linked disorders (NIH 2023).
- Immune advantage: Women mount stronger antibody and cellular immune responses. During COVID-19, men faced mortality rates about 1.7× higher, in part due to weaker immune defences (WHO 2021).
- Metabolic differences: Women's fat-storage and energy-metabolism patterns are associated with lower rates of early-onset metabolic syndrome.
- Risk-taking: Men account for 75% of unintentional injury deaths in the U.S.; suicide rates are 3.8× higher, motor-vehicle deaths 2.3× higher (CDC 2022).
- Smoking: 36% of men vs 8% of women smoke globally (WHO 2022) — a major driver of lung cancer, COPD and cardiovascular disease.
- Alcohol: Alcohol-related deaths are 2.6× higher in men (Lancet 2023), with particularly concentrated impact in Eastern Europe and Central Asia.
- Healthcare use: 70% of U.S. women had a preventive visit in the past year vs 58% of men (CDC 2024). Late or absent screening leads to more advanced disease at diagnosis.
- Occupational hazards: 93% of workplace fatalities in the U.S. are male (BLS 2022), concentrated in construction, mining, transport and fishing.
- Chronic stress: Provider-role pressure elevates cortisol; NIH (2023) linked this to a 30% higher heart-disease risk in men relative to women under equivalent socioeconomic stress.
- Social networks: Women maintain stronger support networks. Strong social ties reduce all-cause mortality by ~26% (Harvard / CDC 2024).
- Income & education: In lower-income groups women's stronger health-seeking behaviour amplifies biological advantages, while men in poverty often face compounded disadvantages.
Table 1. Life expectancy at birth by sex and gender gap — selected economies, 2022–2025
Life expectancy at birth in years. Gap = Women minus Men (years). Sorted by gap, largest first, by default. Source: WHO Global Health Estimates 2022; projections for 2025 from IHME. Figures rounded to one decimal place.
Global reference gap (2022): 4.4 years (Women 75.3 · Men 70.9). "% vs global avg" = country gap ÷ 4.4 × 100.
| Rank | Country / Region | Women LE (yrs) | Men LE (yrs) | Gap | Proj. Gap 2025 | Region | Income group |
|---|---|---|---|---|---|---|---|
| 1 | Russia | 77.2 | 66.3 | 10.9 yrs247.7% | 10.5 yrs | Europe | Upper-middle |
| 2 | Lithuania | 80.3 | 70.2 | 10.1 yrs229.5% | 9.8 yrs | Europe | High |
| 3 | Belarus | 78.4 | 69.1 | 9.3 yrs211.4% | 9.0 yrs | Europe | Upper-middle |
| 4 | Latvia | 79.6 | 70.6 | 9.0 yrs204.5% | 8.7 yrs | Europe | High |
| 5 | Ukraine | 77.7 | 68.8 | 8.9 yrs202.3% | 9.5 yrs | Europe | Lower-middle |
| 6 | Estonia | 81.4 | 72.6 | 8.8 yrs200.0% | 8.5 yrs | Europe | High |
| 7 | Kazakhstan | 76.8 | 68.7 | 8.1 yrs184.1% | 7.8 yrs | Asia-Pacific | Upper-middle |
| 8 | Poland | 81.7 | 74.5 | 7.2 yrs163.6% | 7.0 yrs | Europe | High |
| 9 | Hungary | 79.5 | 72.5 | 7.0 yrs159.1% | 6.8 yrs | Europe | High |
| 10 | Brazil | 79.6 | 72.8 | 6.8 yrs154.5% | 6.5 yrs | Americas | Upper-middle |
| 11 | Japan | 87.7 | 81.5 | 6.2 yrs140.9% | 6.0 yrs | Asia-Pacific | High |
| 12 | Sub-Saharan Africa (avg) | 65.2 | 59.1 | 6.1 yrs138.6% | 6.0 yrs | Africa | Low |
| 13 | China | 79.7 | 73.9 | 5.8 yrs131.8% | 5.6 yrs | Asia-Pacific | Upper-middle |
| 14 | Mexico | 77.8 | 72.0 | 5.8 yrs131.8% | 5.6 yrs | Americas | Upper-middle |
| 15 | France | 85.3 | 79.8 | 5.5 yrs125.0% | 5.3 yrs | Europe | High |
| 16 | United States | 80.2 | 74.8 | 5.4 yrs122.7% | 5.2 yrs | Americas | High |
| 17 | Finland | 84.5 | 79.6 | 4.9 yrs111.4% | 4.7 yrs | Europe | High |
| 18 | Germany | 83.4 | 78.7 | 4.7 yrs106.8% | 4.5 yrs | Europe | High |
| — | Global average | 75.3 | 70.9 | 4.4 yrs ⬅ ref.100.0% | 4.3 yrs | Global | — |
| 19 | Australia | 85.3 | 81.3 | 4.0 yrs90.9% | 3.9 yrs | Asia-Pacific | High |
| 20 | Canada | 84.0 | 80.1 | 3.9 yrs88.6% | 3.8 yrs | Americas | High |
| 21 | United Kingdom | 83.1 | 79.3 | 3.8 yrs86.4% | 3.7 yrs | Europe | High |
| 22 | Sweden | 84.7 | 81.8 | 2.9 yrs65.9% | 2.8 yrs | Europe | High |
| 23 | India | 72.0 | 69.4 | 2.6 yrs59.1% | 2.5 yrs | Asia-Pacific | Lower-middle |
Sources: WHO Global Health Estimates 2022; IHME 2025 projections. Sub-Saharan Africa is a regional aggregate. Ukraine's projected 2025 gap reflects elevated male conflict-related mortality. Income groups follow the World Bank Atlas Method FY2024/25. "% vs global avg" uses global reference gap of 4.4 years.
Chart 1. Gender gap in life expectancy at birth — selected economies, 2022
Economies ranked from smallest to largest gender gap. Green bars indicate a gap below the global average (4.4 years); blue bars are above it. The chart makes clear that the Eastern European cluster stands entirely apart from the rest — Russia's gap is more than four times Sweden's.
Source: WHO Global Health Estimates 2022. Global average = 4.4 years. Green = below global average; blue = above global average; grey = global average reference.
Key insights: what the data actually reveal
Raw numbers tell only part of the story. The following analytical observations put the cross-country variation into context and highlight patterns that a simple ranking obscures.
1. The Eastern European anomaly is primarily about men dying early, not women living long
Russia, Lithuania, Belarus, Latvia, Ukraine and Estonia all record gaps exceeding 8 years — more than double the global average. But this is not because women there live unusually long lives; women's life expectancy in these countries (77–81 years) is not exceptional by international standards. The driver is extreme premature male mortality: cardiovascular disease, alcohol-related harm, accidents and violence pull men's life expectancy below 70 years in Russia and Belarus — a level most high-income economies surpassed four to five decades ago. The policy implication is straightforward: reducing the gap here requires targeting male risk factors, not improving female health, which is already comparatively strong.
2. Gender equality is the most consistent predictor of a narrow gap
Sweden (2.9 years), the UK (3.8 years), Australia (4.0 years) and Canada (3.9 years) demonstrate that in societies with high gender equality, strong public health systems and declining tobacco use, the gap compresses to under 4 years. Critically, these countries have not achieved narrow gaps by sacrificing female longevity — Swedish women live to 84.7, among the longest in the world. All of the convergence has come from men living longer. This is the practical blueprint: invest in men's health-seeking behaviour, reduce occupational hazards, and address the cultural norms that make help-seeking seem incompatible with masculinity.
3. Japan's wide gap despite high overall longevity is a compound effect
Japan has the world's longest female life expectancy (87.7 years) and still records a 6.2-year gap. This reflects a compounding dynamic: Japanese women benefit simultaneously from excellent biological foundations, a diet with strong cardiovascular and anti-inflammatory properties, high social cohesion and near-universal healthcare access. Japanese men benefit from many of the same structural factors but historically carried higher smoking burdens and intense occupational stress. As Japan's male smoking rates continue to fall, its gap is projected to narrow modestly — but it will remain larger than comparable European peers because the biological and lifestyle advantages of Japanese women are so pronounced.
4. India's narrow gap is a warning signal, not a success story
At 2.6 years, India has the smallest gender gap in this dataset. This should not be misread as a sign of male–female health equality. Historically, India's female life expectancy was severely suppressed by gender discrimination in nutrition, healthcare access, and treatment of girls relative to boys. As these structural barriers have weakened, female life expectancy has risen faster than male — and the gap is gradually widening toward the global average. India is therefore moving in the right direction, with a rising gap reflecting improving female health equity, not worsening male health.
5. The global gap is narrowing, but the pace is modest and uneven
The global gender gap in life expectancy peaked at around 5 years in the late 1990s and has since fallen to roughly 4.4 years (2022), with IHME projecting approximately 4.3 years for 2025. The convergence is most pronounced in former Soviet countries, where declines in male alcohol-related cardiovascular mortality have been substantial since the early 2000s. In Western Europe, the gap has been relatively stable for the past decade at 3.5–5.5 years. Progress is real but slow: at the current pace, reaching a global average gap of 3 years would take several decades without more targeted policy effort on male preventable mortality.
COVID-19 and the gender gap: a temporary but revealing widening
The pandemic temporarily widened the gender difference in life expectancy. WHO data show that global life expectancy fell by 1.8 years between 2019 and 2021, with men losing an average of 2.1 years versus 1.5 years for women. In the United States, men's life expectancy dropped 2.3 years in 2020–2021, compared to 1.5 years for women (CDC 2022).
Three mechanisms drove the asymmetry. First, men died of COVID-19 at approximately 1.7× the rate of women, partly because men had higher prevalence of comorbidities (diabetes was 1.4× more prevalent) and mounted weaker innate immune responses. Second, men were more likely to work in sectors — transport, construction, essential retail — that required continued physical presence during lockdowns. Third, pandemic-era disruptions to routine healthcare hit men harder precisely because they were already underusing it: postponed cardiac and cancer screening generated a backlog that disproportionately affected male mortality in 2021–2022. Recovery has been under way since 2022, but the pandemic reinforced the structural vulnerability of men to health shocks — a vulnerability that existed before COVID-19 and will persist after it.
What this means — for individuals, families and policymakers
The gender gap in life expectancy is not a background statistic. It shapes retirement savings needs, pension system design, healthcare spending patterns at end of life, and the probability that one partner will spend years as a surviving spouse. Some concrete implications:
- For men personally: The most actionable contributors to the gap are behavioural, not purely genetic. Not smoking, drinking moderately, attending regular preventive health checks (especially after 40), and actively managing chronic stress account for a substantial fraction of the gap. The biology is harder to change; the behaviour is not.
- For healthcare systems: Investing in male-targeted preventive programmes — hypertension and diabetes screening, depression detection, and mental health services designed around how men actually seek help — can deliver disproportionate longevity gains because the baseline utilisation rate is so low. A small improvement in male healthcare engagement yields more life-years per dollar spent than equivalent investments elsewhere.
- For pension and social policy: Actuarial tables built on current gender-differentiated life expectancy need to anticipate a narrowing gap. If the gap compresses significantly over the next two to three decades, pension fund projections calibrated on historical data will underestimate total liabilities for male beneficiaries — and overestimate them for women.
- For families in high-gap countries: In Russia, Lithuania or Belarus, a woman aged 60 today can expect to outlive her male peer by nearly a decade. This has profound implications for financial planning, housing, and informal caregiving arrangements that policy and financial planning often fail to account for.
- For low- and middle-income countries: Where the gap is driven by external causes — road deaths, violence, conflict — road safety regulation, alcohol policy and conflict prevention deliver the biggest returns. These are structural interventions with measurable effects on male mortality within five to ten years.
Methodology and data notes
Core indicator definition
Life expectancy at birth is the expected number of years a newborn would live if the age-specific mortality rates prevailing in the year of birth remained constant throughout their lifetime. It is calculated from period life tables — a cross-sectional snapshot of current mortality conditions, not a cohort projection of how today's newborns will actually live. The gender gap reported here is the arithmetic difference: female life expectancy at birth minus male life expectancy at birth, in years.
Primary data source and reference year
Baseline figures are drawn from WHO Global Health Estimates (GHE 2024 edition), which cover reference year 2022 for most countries. These are model-assisted estimates that integrate civil registration data, household surveys, cause-of-death studies and demographic modelling. They are harmonised for cross-country comparability and may differ modestly from country-reported national statistics that use different methodologies or base years. All values are rounded to one decimal place for readability.
2025 projections
Projected gender gaps for 2025 are derived from IHME Global Burden of Disease (GBD) projections and cross-checked against WHO mortality trend extrapolations. These should be treated as indicative ranges, not precise forecasts. The Ukraine figure for 2025 incorporates an upward adjustment reflecting elevated male conflict-related mortality not fully captured in the 2022 baseline.
Country selection and coverage
The 24 data points (22 economies, one regional aggregate, and a global average) were selected to provide geographic diversity and to illustrate the full observed range of the gender gap — from the smallest reliably estimated values (India, Sweden) to the largest (Russia, Lithuania). Sub-Saharan Africa is a WHO regional aggregate, not a single country. Income group classifications follow the World Bank Atlas Method, fiscal year 2024/25.
Limitations
- Life expectancy at birth reflects overall mortality, not healthy or disability-free life expectancy, which may show different gender patterns at older ages.
- Civil registration quality varies substantially across countries, introducing measurement uncertainty — especially in lower-income settings where cause-of-death reporting is incomplete.
- Period life tables are snapshots; cohort life expectancy (how long today's newborns will actually live given future mortality trends) could differ significantly, particularly in rapidly ageing societies.
- The global average is the WHO-reported world aggregate, not a simple mean of the country values shown in this table.
- Biological sex is used as the classification variable throughout, as it is the standard in vital statistics systems. Gender identity and its health impacts are distinct but not captured by this indicator.
FAQ — questions people actually ask
Primary data sources
All figures cited in this article are derived from openly accessible international datasets. Values have been rounded and harmonised for cross-country comparability. For formal statistical or policy work, consult the original databases and their methodological documentation.
