Gini Coefficient Calculator

To calculate the Gini Coefficient, divide the area between the Lorenz curve and the line of equality by the total area under the line of equality.

Gini Coefficient Calculator

Enter any 2 values to calculate the missing variable

The Gini Coefficient Calculator is a valuable tool for assessing inequality in economic or social contexts. It provides a numerical measure, where 0 represents perfect equality (everyone has the same income or wealth) and 1 indicates maximum inequality (one individual has all the income or wealth).

Formula

G = A / (A + B)

Variable Description
G Gini Coefficient
A Area between Lorenz curve and line of equality
A + B Total area under the line of equality

Solved Calculations

Example 1: Gini Coefficient Calculation for a Population

Step Value
Area Between Lorenz Curve (A) 0.25
Total Area (A + B) 0.50
Gini Coefficient (G) 0.25 ÷ 0.50 = 0.50

 

Example 2: Gini Coefficient for Another Dataset

Step Value
Area Between Lorenz Curve (A) 0.10
Total Area (A + B) 0.50
Gini Coefficient (G) 0.10 ÷ 0.50 = 0.20

What is Gini Coefficient Calculator?

A Gini Coefficient Calculator is a powerful tool which is used to measure income or wealth inequality within a population. By analyzing the distribution of resources, the Gini Coefficient provides a numerical value between 0 and 1, where 0 indicates perfect equality and 1 indicates maximum inequality.

This calculator simplifies complex computations, such as deriving the Gini index formula from the Lorenz curve. It can also assist with calculating Gini coefficients in Excel, SPSS, or other statistical tools.

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For instance, a Gini Coefficient of 0.5 suggests moderate inequality, and the calculator provides context for interpreting this value.

Tools like the Gini index calculator online or Gini coefficient by country databases make it accessible for global comparisons and policy assessments.

Final Words:

Ultimately, the Gini Coefficient Calculator is an indispensable resource for analyzing inequality with precision. It simplifies calculations, supports diverse applications, and fosters a deeper understanding of socioeconomic disparities.

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