Gini Coefficient By Country
Last updated March 2, 2026
Measuring Global Wealth Distribution
In macroeconomic analysis, a nation's Gross Domestic Product (GDP) only tells half the story. While GDP tracks how much total wealth a country generates, it completely fails to explain how that wealth is distributed among its citizens. To measure the gap between the ultra-rich and the working class, economists rely on the Gini Coefficient (or Gini Index).
The Gini Index is a statistical measure of income inequality ranging from 0 to 100. A score of 0 represents perfect equality (every single citizen earns the exact same income), while a score of 100 represents perfect inequality (a single individual holds 100% of the nation's wealth). By synthesizing the latest data from the World Bank and the CIA World Factbook, we can track exactly how different geopolitical systems and economies distribute their prosperity.
All Metrics
The Highest Inequality: Resource Monopolies
When evaluating the 2024 global baseline, the highest levels of income inequality are overwhelmingly concentrated in Sub-Saharan Africa and South America.
| Global Rank | Country | Gini Index (2024) |
|---|---|---|
| 1 | South Africa | 63.0 |
| 2 | Namibia | 59.1 |
| 3 | Colombia | 54.8 |
| 4 | Eswatini | 54.6 |
| 5 | Botswana | 53.3 |
| 6 | Brazil | 52.0 |
| 7 | Zambia | 51.5 |
| 8 | Angola | 51.3 |
| 9 (Tie) | Zimbabwe | 50.3 |
| 9 (Tie) | Mozambique | 50.3 |
South Africa (63.0) and Namibia (59.1) anchor the absolute top of the global index, indicating severe structural wealth disparities.
Economists attribute this extreme inequality to a combination of historical land ownership laws, the lingering socio-economic impacts of systemic segregation (such as Apartheid), and economies heavily reliant on un-diversified natural resource extraction. In nations like Angola and Zambia, lucrative mining and oil industries frequently concentrate massive wealth into the hands of a small elite, while the broader rural population remains disconnected from that capital.
Volatility in Developing Economies (2018 vs. 2024)
Unlike developed nations, which generally see their Gini coefficients shift by fractions of a point over a decade, developing economies can experience massive volatility in wealth distribution.
Showing 51 of 156 regions · Sorted by: Biggest Change · 105 not shown
The arrow chart above tracks the absolute change in a country's Gini Index from 2018 to 2024. The length and direction of the arrows illustrate the most significant recent shifts in global income distribution. (Note: Because this visualization displays a maximum of 51 items, some nations/entities with stagnant growth may be omitted to highlight the largest statistical changes).
This timeline highlights the fragility of emerging economies. For example, Suriname reported a massive Gini Index of 57.9 in 2018. Following severe economic restructuring, their coefficient plummeted to 39.2 by 2024. Conversely, nations like Colombia saw their inequality actively worsen over the same period, rising from 51.3 up to a global top-three score of 54.8.
Furthermore, a decreasing Gini Index does not always equal a thriving middle class. The Central African Republic saw its index drop from 56.2 down to 43.0. However, when cross-referencing this with the 2018 Poverty Rate dataset, it is revealed that 62.0% of the CAR's population lives below the national poverty line. In this context, the narrowing wealth gap simply reflects a society where wealth has evaporated so universally that the population has become equally impoverished.
The Lowest Inequality: The Post-Soviet Baseline
On the opposite end of the spectrum, the nations with the most mathematically "equal" distributions of wealth are almost entirely clustered in Eastern Europe.
| Global Rank | Country | Gini Index (2024) |
|---|---|---|
| 1 | Slovakia | 24.1 |
| 2 | Slovenia | 24.6 |
| 3 | Czech Republic | 25.0 |
| 4 | Belarus | 25.3 |
| 5 | Ukraine | 25.6 |
Slovakia (24.1), Slovenia (24.6), and the Czech Republic (25.0) boast the lowest Gini coefficients on Earth.
However, low inequality does not automatically equate to widespread luxury. Many of the most "equal" nations on the map are former Eastern Bloc or Soviet states. Their low Gini scores are largely a lingering reflection of 20th-century state-controlled economies, which established highly uniform wage structures and heavily subsidized, standardized public housing. The wealth gap is narrow because the ceiling for extreme private wealth was historically restricted, not necessarily because the median income is exceptionally high.
The Wealth vs. Equality Paradox
To fully understand a country's economic health, its Gini Index must be cross-referenced with its actual wealth generation.
The scatter plot above compares a nation's 2023 GDP Per Capita PPP (X-Axis) against its 2024 Gini Index (Y-Axis). Countries positioned in the bottom right represent the ideal economic state: generating massive national wealth while distributing it equitably.
Plotting purchasing power against the Gini coefficient reveals a fascinating macroeconomic paradox, perfectly illustrated by the United States.
The United States is an unparalleled economic powerhouse, generating an incredible $82,769 in GDP Per Capita PPP (adjusted for purchasing power parity). However, its Gini Index sits at a heavily skewed 41.3. To put this disparity into perspective, the United States has a nearly identical Gini Index to developing nations like Haiti (41.1) and Djibouti (41.6), and performs significantly worse than European peers like the United Kingdom (32.4) and France (31.5).
By comparison, Slovakia generates roughly half as much economic output per person ($43,625), yet maintains the lowest Gini Index in the world (24.1). This statistical disconnect proves that massive national wealth does not inherently "trickle down" to create a balanced society. Without robust tax policies, labor protections, and social safety nets, unchecked GDP growth frequently exacerbates the divide between the working class and the ultra-wealthy.
Sources & Notes
Statistical measure of income distribution inequality.
% of the population living below the national poverty line.
Middle income value, dividing income distribution into two equal groups.

