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For First Responders · Lorenz & Gini

Lorenz & Gini for a demand shock

Built for first responders planning or training for real incidents. Run fast what-if scenarios for response planning and training — no software to install in the field. Simulate a demand shock live below — adjust the inputs and watch it respond, right in your browser.

Lorenz Curve & GiniLive

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The Lorenz curve plots the cumulative share of income against the cumulative share of population, from poorest to richest. Perfect equality is the diagonal; the more the curve bows below it, the more unequal the distribution. The Gini coefficient is twice the area between them — 0 is total equality, 1 is one person owning everything.

▶ Run in Python

Data Inspector

Gini coefficient0.628
Inequalityhigh
Top 10% share37%

Governing equation

Reading this result: High inequality (Gini 0.628): the curve bows far under the diagonal and the richest 10% capture 37% of all income.

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Frequently asked questions

Is this good for first responders?
Yes — this version of "Lorenz & Gini for a demand shock" is framed for first responders planning or training for real incidents. Run fast what-if scenarios for response planning and training — no software to install in the field.
Do I need to install anything?
No. It runs in any modern browser, free, with no account required.