Global Poverty & Economic Inequality (2015-2024)

By shrijeetverma13 · May 15, 2026

This synthetic dataset captures global poverty and economic inequality trends across 2015 to 2024. It contains 10,000 country-year records spanning 40…

The analysis identified the countries with the highest income inequality by combining two key metrics: the Gini coefficient and the top 10% income share. Two visualizations were generated to explore this — a horizontal bar chart ranking the top 10 most unequal countries by a composite inequality score, and a scatter plot showing how Gini and top 10% income share relate across all countries.

Counterintuitively, countries receiving MORE foreign aid tend to show HIGHER poverty rates and LOWER HDI scores — but this reflects how aid is distributed, not whether it works. Aid flows toward the countries that need it most, so the correlation captures targeting, not causation. Two bar charts and a data table were generated to visualize these patterns across aid quintiles.

The analysis successfully produced visualizations and data tables comparing regions by average poverty rates and HDI scores. Three interactive charts were created: a bar chart ranking regions by poverty rate (highest to lowest), a bar chart showing HDI scores by region (lowest first), and a scatter plot revealing the inverse relationship between HDI and poverty across regions. Five supporting data tables were also generated with the detailed regional statistics.

From 2015 to 2024, GDP per capita grew significantly while poverty rates declined. Average GDP per capita increased from $11,382 in 2015 to $15,162 in 2024 — a gain of $3,780 or +33.21%. Meanwhile, the average poverty rate dropped from 25.25% to 20.76%, a reduction of 4.49 percentage points. Both metrics reached their best values in 2024, suggesting a consistent positive trend over the decade. Two charts and a data table were generated to visualize these trends clearly.

The analysis produced two visualizations and supporting data tables comparing literacy rates, life expectancy, and internet penetration across income groups. A grouped bar chart shows average values for each metric side by side across income groups, while a box plot reveals the distribution and spread within each group. Together, they clearly illustrate how all three indicators improve as income level rises.

Both electricity access and clean water access have a strong negative correlation with child mortality rates. This means that as access to these resources increases, child mortality drops significantly. The analysis produced scatter plots, a correlation heatmap, and bar charts illustrating these relationships clearly.

The analysis ranked all countries by their average Gini coefficient and identified the two extreme groups. The top 10 most unequal countries are Turkey, Sudan, Indonesia, Mexico, South Africa, Colombia, Burkina Faso, Afghanistan, Yemen, and China (avg Gini: 46.98). The 10 least unequal countries are Pakistan, Egypt, Australia, USA, South Korea, France, Germany, UK, Canada, and Japan (avg Gini: 34.06). Data tables were generated comparing key metrics between both groups, revealing stark differences especially in poverty rates and GDP per capita.

The IQR outlier detection analysis identified 1,122 total outliers across the three economic metrics. Inflation rate had the most outliers by far (1,105 records), unemployment rate had 17 outliers, and remittances showed no outliers within the dataset's range. Box plots and concentration charts were generated to visualize these distributions and regional/income group patterns.

The analysis successfully computed a full correlation matrix for all 8 indicators and produced two visualizations: a heatmap showing all pairwise correlations with annotated coefficients, and a horizontal bar chart highlighting the top 5 strongest positive and negative correlations. Additional data tables were also generated to support the findings.

The analysis covers three key metrics from 2015 to 2024. Two line chart visualizations and supporting data tables were generated showing temporal trends and year-over-year changes. Overall, the poverty rate declined meaningfully from 25.25% to 20.76% (a drop of 4.49 percentage points), the HDI score improved modestly from 0.643 to 0.670 (+0.027), while the Gini coefficient remained nearly flat, edging up slightly from 41.90 to 42.22 (+0.32), suggesting income inequality has not improved despite poverty reduction gains.