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Gini coefficient calculator

The Gini coefficient of a distribution — the standard measure of inequality, from 0 (everyone equal) to 1 (one person has everything). Paste any set of non-negative values — incomes, wealth, market shares — and it computes the Gini and expresses it as a percentage, the way income inequality is usually reported.

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Need Gini coefficient, Gini index (%), Count? The Gini coefficient calculator derives it from Data (values) in one step. For instance, with Data (values) = 10000, 20000, 30000, 50000, 90000 it returns Gini coefficient = 0.38, Gini index (%) = 38% and Count = 5.

How to use it

  1. Enter your values: Data (values).
  2. Read the result instantly: Gini coefficient, Gini index (%), Count.

Frequently asked questions

How does the Gini coefficient calculator work?

It takes Data (values) and derives Gini coefficient, Gini index (%) and Count from them. The calculation is live as you type, so the result updates on every change.

Which values does the calculator ask for?

A single value: Data (values). Nothing else is required — no account, no file upload.

What does a typical calculation look like?

With Data (values) = 10000, 20000, 30000, 50000, 90000, the calculator returns Gini coefficient = 0.38, Gini index (%) = 38% and Count = 5. Those figures come from running this exact tool, so you can reproduce them by entering the same values.

How much does the result change with different inputs?

It moves a lot. Using Data (values) = 10000, 21000, 33000, 57500, 108000 instead, Gini coefficient goes from 0.38 to 0.405 — which is why it is worth testing a few scenarios rather than trusting a single figure.

What does it give for smaller values?

Scaled down to Data (values) = 10000, 20000, 30000, Gini coefficient comes out at 0.222. The relationship is worth checking at both ends before you rely on a single result.

When would I actually use this?

Summarising a dataset before drawing conclusions from it, checking whether a difference between two groups is real, and putting an interval around an estimate.

What is the most common mistake?

Reading a p-value as the probability that the hypothesis is wrong. It is the probability of seeing data at least this extreme if the null were true — a different statement, and a much weaker one.

What is the difference between the Gini coefficient calculator and the Correlation coefficient calculator?

This one returns Gini coefficient and Gini index (%); the Correlation coefficient calculator returns Correlation coefficient (r). That is the whole difference — open the one whose figure you need.

Is there a tool for the next step?

Coefficient of variation calculator is the closest one after this: Compute the coefficient of variation (CV) of a dataset — its relative variability.

What else is worth having open alongside it?

Population standard deviation calculator and Statistics calculator — they come up in the same task often enough to be worth a second tab.

Further reading

All guides →
ExplainerMean, Median and Mode: What's the Difference?Mean, median and mode all describe the 'middle' of your data — but answer different questions. Here's what each means, with examples and when to use which.ExplainerGeometric vs Arithmetic Mean: Which to UseThe arithmetic mean adds and divides; the geometric mean multiplies and takes a root. Learn which fits growth rates, ratios, and averages.How-toHow to Calculate Standard Deviation (Step by Step)Standard deviation measures how spread out your data is. Here's the formula, a worked example, and the difference between population and sample.ExplainerProbability Basics, With ExamplesProbability measures how likely something is, from 0 to 1. Here's the basic idea, how to combine events with AND and OR, and the complement.ExplainerWhat Is a Percentile? The 90th Percentile ExplainedA percentile tells you where a value ranks within a group. Learn what the 90th percentile really means and why a percentile is not the same as a percentage.How-toHow to Calculate a Weighted AverageA weighted average gives some values more influence than others. Learn the Σ(w·x) / Σw formula with grade and portfolio examples you can follow step by step.