Life Expectancy by Region

Life expectancy at birth varies by more than 25 years between the world's healthiest and least healthy regions. The gap reflects cumulative differences in nutrition, disease burden, healthcare system quality, and environmental factors. It has been narrowing steadily — in 1990, the gap between Sub-Saharan Africa and high-income countries was nearly 30 years. Today it is closer to 20.

Sources: World Bank WDI (life expectancy, under-5 mortality), WHO GHO (maternal mortality). Most recent available year (circa 2021–2023).

Healthcare Spending: More Money, Better Outcomes?

Healthcare spending per capita varies by a factor of more than 100 between high-income and low-income countries. But the relationship between spending and outcomes is not linear. The United States spends nearly twice as much per person as other high-income countries yet achieves lower life expectancy than most of them — a puzzle that has driven decades of health policy debate.

Sources: WHO Global Health Expenditure Database, World Bank WDI. Figures circa 2021.

Japan achieves the world's highest life expectancy at roughly one-third of US per-capita healthcare spending. The difference reflects diet (very low obesity), low homicide rates, universal coverage ensuring preventive care, and a healthcare system with lower administrative overhead than the US model.

Child Mortality: The Biggest Gains in Global Health

The decline in child mortality is one of the most dramatic improvements in human welfare in recorded history. In 1990, approximately 12.5 million children under five died each year. By 2022, that number had fallen to roughly 4.9 million — a decline of 60% — despite significant population growth over the same period.

The leading causes of under-5 death today are:

• Preterm birth complications (~16% of under-5 deaths)
• Pneumonia (~14%)
• Diarrheal diseases (~8%) — strongly linked to water and sanitation access
• Malaria (~5%) — nearly all deaths in Sub-Saharan Africa
• Neonatal infections (~7%)

Most of these deaths are preventable with interventions costing only a few dollars per child: oral rehydration therapy for diarrhea, insecticide-treated bed nets for malaria, vaccines for pneumonia, and skilled birth attendance. The persistence of high under-5 mortality in some regions reflects access failures rather than medical knowledge gaps.

Vaccination Coverage as a Health System Proxy

Childhood vaccination coverage — especially for DPT3 (diphtheria, pertussis, tetanus) and measles — is a reliable proxy for how well a country's primary healthcare system reaches its population. Delivering vaccines requires supply chains, trained health workers, and trust. Countries that achieve 95%+ coverage have demonstrated functional healthcare infrastructure at the community level.

Global DPT3 coverage reached 84% in 2022, down slightly from a pre-COVID peak of 86% — the pandemic disrupted routine immunization in many countries. Chad, South Sudan, and the DRC have coverage rates below 60%, reflecting conflict and infrastructure failures. Explore vaccination and other health indicators for any country on the indicators pages.

How to Use PlainCountries for Health Research

PlainCountries aggregates World Bank WDI and WHO GHO data for 217 countries across 45 indicators, including life expectancy, infant mortality, maternal mortality, vaccination coverage, and healthcare expenditure. Several ways to explore health data:

• Country pages: Each country page shows all available health indicators alongside economic and social data. Look for Health indicators under the topic sections.
• Indicator pages: Visit any indicator page to see rankings across all countries — useful for benchmarking where a specific country stands globally.
• Comparison tool: The comparison engine lets you select any two countries and view all indicators side-by-side, making it easy to spot where two countries diverge most from each other.

Distinguishing health spending from health outcomes

A common analytic mistake is to assume higher health spending guarantees better outcomes. The OECD's Health at a Glance series consistently shows weak correlation above the $4,000-per-capita spending mark. Outcome diagnostics — life expectancy, avoidable mortality, infant mortality — should be examined separately from spending intensity.

Reading age-adjusted versus crude rates

Crude mortality rates depend partly on a country's age structure: older populations naturally show higher rates. Age-standardized rates remove this confound and are essential when comparing cancer mortality, cardiovascular mortality, or all-cause mortality across countries with very different demographic profiles.

Why coverage gaps matter for poverty-of-data inferences

When an indicator is missing for a low-income country, the absence often indicates fragile administrative capacity rather than truly low burden. Modeled estimates from the WHO Global Burden of Disease project fill many of these gaps, but uncertainty intervals widen substantially. Always inspect the metadata before drawing strong conclusions.

Worked example: spending versus longevity in three peer economies

Consider three high-income peers — call them Country X, Y, and Z. Country X spends $11,500 per capita on health and reports life expectancy of 79 years. Country Y spends $5,800 per capita and reports 82 years. Country Z spends $4,200 per capita and reports 83 years. The headline ordering is counterintuitive: lower-spending peers post higher longevity.

Decomposition reveals the explanation. Country X allocates 31% of total health spending to administrative overhead and 18% to specialty care duplications, leaving only roughly half of expenditure flowing into front-line preventive services. Country Y and Country Z, by contrast, channel 65% and 71% respectively into primary-care touchpoints. The longevity gap of about 4 years is consistent with the share-of-spending-on-prevention gap of roughly 22 percentage points — not with the dollar-per-capita gap of $7,300.

Frequently Asked Questions