Switch to desktop mode for better experience.

UID: EC-20240908-WORLD-01

Source

World Bank

Last Updated

June 11, 2025

Time Range

1960 – 2024

Periodicity

Annual

Unit

N.A.

Sector

Economy

Next Update

April 2025

Indicator Summary

Overview

The Gini index is a statistical measure that gauges the degree of income or wealth inequality within a population. It’s calculated using the Lorenz curve, which plots the cumulative distribution of income or wealth against the cumulative percentage of the population. A Gini index of 0 indicates perfect equality (everyone has the same income), while a Gini index of 1 (or 100%) represents perfect inequality (one person has all the income or wealth). The Gini index is calculated by dividing the area between the Lorenz curve and the line of perfect equality by the total area under the line of perfect equality. A higher Gini index signifies greater inequality, while a lower Gini index suggests a more equitable distribution of income or wealth. The Gini index is widely used in economics and social sciences to assess the extent of income inequality in various countries and regions. It’s important to remember that the Gini index is a single measure of inequality and doesn’t provide a complete picture of income distribution. It may not capture other forms of inequality or social disparities

Terms & Conditions for Reusing Data

All data, visualizations, and code generated by 360 Analytika are fully open access. You are free to use, distribute, and reproduce these materials in any medium, provided proper credit is given to the source and authors.
 
We kindly request that you include a backlink to our website/article when using these materials. This helps us maintain transparency and allows others to access the original sources and comprehensive documentation.

Citation information

World Bank. Gini Index across the Globe from 1960 to 2024 (360 Analytika, Ed.) [Dataset]. 360 Analytika. https://360analytika.com/gini-index-across-the-globe/

Note: Please ensure proper attribution when using this data in your research or publications.

Other Data Explorers