Disuguaglianza Economica Globale E Povert 1980 - 2024

By shrijeetverma13 · March 25, 2026

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The analysis successfully identified the 15 countries with the highest poverty rates based on the latest available data for each country. A horizontal bar chart and data tables have been generated showing these results, ranked from highest to lowest poverty rate.

The analysis identified the 15 countries that achieved the greatest reduction in their Gini index over the full period available in the dataset. A horizontal bar chart was generated showing these top performers ranked by the size of their Gini index reduction, making it easy to compare which nations made the most progress in reducing income inequality.

The analysis identified the 10 countries with the highest Gini index based on the most recent available data for each country. A horizontal bar chart and data tables have been generated showing these results, ranked from highest to lowest inequality.

There is a clear negative relationship between GDP per capita and poverty rate across countries. A scatter plot on a log scale reveals that as GDP per capita rises, poverty rates tend to fall significantly — with a correlation of -0.555. The effect is most dramatic at lower income levels, where even modest economic growth can lead to large reductions in poverty.

The global average Gini index has risen over the past four decades, climbing from 35.49 in 1980 to 40.77 in 2024 — an increase of 5.28 points. This indicates that income inequality, on average across countries, has grown over this period. A line chart has been generated showing the full year-by-year trend from 1980 to 2024.

The global average income share of the bottom 50% has slightly declined since 1980. It started at 15.75% in 1980 and dropped to 14.97% by 2024 — a decrease of 0.78 percentage points over roughly four decades. A line chart has been generated showing this trend over time, revealing that the share actually hit its lowest point of 14.14% in 2007 before partially recovering.

The analysis identified the 10 countries with the highest income share held by the top 1% of earners. A horizontal bar chart and data tables have been generated showing these rankings using the most recent available data for each country.

The gap between the top 10% and bottom 50% income shares has widened globally since 1980. In 1980, the top 10% held 43.9% of income while the bottom 50% held 15.7%, creating a gap of 28.2 percentage points. By 2024, the top 10% share rose to 45.2% while the bottom 50% fell to 15.0%, pushing the gap to 30.2 percentage points — a net widening of 2.0pp over 44 years. A line chart and data table have been generated showing these trends across all years.

Approximately 3.4 billion people (3,406.1 million) live in countries where the poverty rate exceeds 50%. This represents a massive portion of the global population spread across 48 countries, based on the most recent available data for each country.

The analysis identifies the 15 countries that achieved the largest decreases in poverty rate over the observed period. A bar chart and data table have been generated showing these countries ranked by their reduction in percentage points (pp).

Among the 30 wealthiest countries by GDP per capita, a bar chart has been generated showing which nations have the highest income inequality as measured by the Gini index. The visualization ranks these affluent countries from most to least unequal, revealing that even among the world's richest nations, there is significant variation in how income is distributed.

The bar chart displays the top 15 countries where the top 1% income share has grown the most since the 1980s, comparing early 1980s averages to 2020s averages. The visualization ranks countries by the change in percentage points, giving a clear picture of where income concentration at the top has accelerated the most.

The population-weighted global average Gini index has varied between 31.92 and 42.81 over the available years. A line chart shows how this weighted average has changed over time, and a data table provides the year-by-year breakdown.

Yes, countries with lower Gini index consistently show higher income shares for the bottom 50%. The analysis reveals a strong negative correlation of r=-0.856, meaning as inequality (Gini) rises, the bottom 50%'s income share drops significantly. A scatter plot with a trendline visually confirms this relationship across all countries in the dataset.

The analysis mapped 5,670 data points across 7 world regions to compare average Gini index (inequality) and poverty rates over time. A dual-panel chart was generated showing both metrics side by side across regions from 1980 to 2024, making it easy to spot regional differences and long-term trends.