Gini Coefficient: Calculate and Interpret the Area Ratio
The Gini coefficient summarizes relative inequality using the gap between a Lorenz curve and the equality line. Divide that gap by the whole triangle beneath the equality line. Check the scale and income definition before comparing values: the coefficient does not tell you average income or poverty on its own.
Use the usual 0–1 coefficient or its 0–100 index equivalent.
Read Two Gini Comparisons
Two countries have the same Gini coefficient on a comparable income definition and scale. What can be concluded?
- Their average income per household must be the same.
- Their individual household incomes must be identical.
- Their tax and transfer systems must be the same.
- Neither country can have households living in poverty.
- Only their summary degree of relative inequality is the same.
Only their summary degree of relative inequality is the same. The Gini compresses a distribution into one relative measure. Countries with the same value can differ in average income and distributional shape.
Using comparable income definitions, Country X has a Gini coefficient of 0.28 and Country Y has 0.46. Based only on these values,
- X must have higher average income
- Y must have more total income
- Y has greater measured relative inequality
- X has no poverty
- the countries have identical Lorenz curves
Y has greater measured relative inequality A larger Gini indicates greater relative inequality, but it reveals neither average income nor poverty by itself.
Video Lesson: Lorenz Curves and the Gini Coefficient
A focused video lesson from ReviewEcon.
Interpret the Area Gap
Gini equals the area between the equality line and Lorenz curve divided by the total triangular area below the equality line. Zero indicates complete equality. A value closer to one indicates greater inequality. It does not measure the average income level: two societies can have the same Gini and very different living standards.
Keep the Resource Measure Consistent
Taxes and cash transfers can change the usual disposable-income distribution. In-kind services can change a broader resource measure when that measure explicitly includes them; do not silently compare it with a cash-income measure. A transfer payment is not payment for current production and therefore is not included as current output in national accounting, though it affects household resources. Marginal tax rates and benefit phaseouts can also alter work and saving incentives.
Use the Whole Denominator
The Gini coefficient compresses the Lorenz curve into a single number. Let area A lie between the equality line and the Lorenz curve, and let A+B be the entire triangle below the equality line. Then
Gini=(A)/(A+B).
Understand the Usual Endpoints
Perfect equality gives A=0 and a Gini of zero. As the curve bows farther away, A grows and the coefficient moves toward one. This lesson uses the usual nonnegative-income setup with a positive total. For a finite sample, the attainable maximum can also depend on whether a finite-population normalization is used; keep the dataset’s definition consistent. The measure does not literally require one person to hold every dollar before indicating high inequality.
Calculate from Given Areas
Graph questions may provide shaded areas rather than raw household data. If A=0.14 and B=0.36, then Gini=0.14/(0.50)=0.28. Dividing A only by B would give the wrong result. When axes form a unit square, the total triangle beneath the equality line has area one-half.
Explain a Proportional Income Change
In a hypothetical comparison with prices unchanged, every household’s income rises by 10 percent. Each group retains the same share of total income, so the Lorenz curve and Gini remain unchanged. The society is richer in absolute terms even though relative inequality is identical.
Recognize What a Summary Can Hide
Different distributions can have the same Gini because one number cannot preserve every detail of a curve. One society may have more inequality near the bottom and another near the top. If Lorenz curves cross, their Gini values can still rank them, but that ranking reflects total area and can hide where the differences occur.
Check Units, Definitions and Coverage
Measurement choices matter. Household size, taxes, transfers, capital gains, underreported income, and whether the unit is a person or household can change the estimate. Wealth is usually more concentrated than annual income and should not be discussed as if it were the same variable. International comparisons also require compatible definitions and data quality.
Separate Inequality from Welfare Changes
A lower Gini is not automatically a Pareto improvement. It could occur because lower-income households gained, because top incomes fell while no one else gained, or because composition changed. Equality and efficiency are distinct criteria. Policies can alter both distribution and incentives to work, save, invest, or acquire education. The empirical magnitudes matter.
Compare Curves and Their Total Areas
For an economics exam, read the comparison carefully: a curve at least as close to equality at every population share, and closer somewhere, implies a lower Gini in the usual comparable setup. If curves cross, compare their total area gaps rather than judging a single point. Do not infer average income, poverty, mobility, or fairness from the coefficient alone. It summarizes relative inequality, while other measures are needed for levels, poverty and mobility.
Check Transfers and Proportional Changes
Use direction checks before calculating. A transfer from a higher-income household to a lower-income household that leaves their rank unchanged generally pulls the Lorenz curve toward equality and lowers the Gini. A proportional tax on every income followed by no redistribution leaves all income shares unchanged. These comparisons often answer conceptual questions without an area calculation.
Check the Scale and Statistical Definition
The World Bank’s Gini metadata describes the Lorenz-area comparison and reports an index on a 0–100 scale. A coefficient of 0.32 corresponds to an index of 32; it does not mean that 32% of people are poor or that the bottom group receives 32% of income.
The Australian Bureau of Statistics measurement guide explains the 0–1 coefficient, household-versus-person weighting and income-versus-wealth comparisons. It is a methodology guide for the stated 2019–20 survey, not a source of current country rankings. The World Bank also notes that different Lorenz curves can have the same Gini and that survey definitions can limit comparisons.
For the usual graph exercise, nonnegative incomes and a positive total make cumulative income shares meaningful. Follow the source’s treatment of zero or negative values, household size, taxes and transfers when working with an actual dataset. Do not force unlike measures into a country league table.
Convert an Area Ratio to the Correct Scale
On a unit-square Lorenz diagram, area A between the equality line and the curve is 0.18. Area B below the curve is 0.32. Calculate the coefficient and the equivalent 0–100 index.
Check your reasoning
The whole triangle is A + B = 0.50. The coefficient is 0.18 ÷ 0.50 = 0.36. Multiply by 100 to report an index of 36. Dividing by B alone would give 0.5625, using the wrong denominator. Neither 0.36 nor 36 identifies average income, the poverty rate or a particular group’s income share.
Try Three Gini-Coefficient Questions
Choose one answer, then check your reasoning. These are short learning checks, not an exam score. If the controls are unavailable, the explanations remain readable below each question.
Answer C. Use the whole triangle: G = A ÷ (A + B) = 0.10 ÷ 0.50 = 0.20. Dividing A by B alone gives 0.25, which uses the wrong denominator.
Answer A. Divide the index by 100: 42 ÷ 100 = 0.42. This is a change of reporting scale, not a poverty rate or an income share for a particular group.
Answer D. Each household’s share is unchanged because both its income and total income are multiplied by the same positive factor. Relative inequality stays fixed even though incomes and their average increase. This does not establish what happens under a different poverty definition or to wealth.
Connect the Measure to Its Interpretation
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