Population, Income & Mortality
Explore how population size, economic development, and income classification relate to mortality patterns across countries.
| Country | Population | Death Rate | GDP/Capita | Income Group | Region |
|---|
Demographics and Mortality
Population, income, and economic development in context
Mortality patterns are deeply intertwined with demographic and economic factors. The Demographics tool provides context for understanding why death rates vary so dramatically between countries. Explore how population size, GDP per capita, and World Bank income classification relate to mortality outcomes.
Visualise the Preston curve to see how income and mortality relate globally. Identify countries that outperform or underperform their economic peers. Understand how demographic factors create the conditions that shape national mortality profiles and public health priorities.
How does GDP relate to mortality rates?
Higher GDP per capita is generally associated with lower age-standardised death rates. Wealthier countries can invest more in healthcare, sanitation, nutrition, and public health infrastructure. However, the relationship is not linear: some middle-income countries achieve better mortality outcomes than their wealth would predict, while others underperform.
What is the Preston curve?
The Preston curve describes the empirical relationship between national income and life expectancy or mortality. It shows that health gains from economic growth are largest at lower income levels and diminish at higher incomes. The Demographics tool visualises this relationship across all 204 countries.
How does income classification affect mortality patterns?
The World Bank classifies countries into low, lower-middle, upper-middle, and high income groups. Each group has characteristic mortality patterns: low-income countries face higher communicable disease burden, while high-income countries see more deaths from non-communicable diseases and age-related conditions.