Teaching Notes · Economic Development and Growth

Economic Development and Growth

Core Theory and Measurement

Comparative Development and the Global Context

Measuring Inequality: The Lorenz Curve and the Gini Coefficient

Saying that a country has unequal income distribution is easy. Measuring exactly how unequal, in a way that lets you compare one country or one year to another, takes a bit more structure. Two tools, developed more than a century ago and still the standard today, do most of the work: the Lorenz curve and the Gini coefficient that summarizes it.

Building the Lorenz curve

The construction is simpler than it sounds. Line every individual up in ascending order of personal income, then divide the population into equal groups, typically quintiles, five groups of twenty percent each, or deciles, ten groups of ten percent each. For each group, calculate its share of total national income, and accumulate both the population share and the income share as you move from the poorest group to the richest.

Plot the cumulative population share on the horizontal axis and the cumulative income share on the vertical axis, and you get the Lorenz curve. A straight diagonal line represents perfect equality: the poorest twenty percent of the population holding exactly twenty percent of national income, the poorest forty percent holding exactly forty percent, and so on. The actual Lorenz curve for any real economy bows away from that diagonal, because the poorest fifth of a population essentially never holds a fifth of national income. The further the curve bows away from the equality line, the more unequal the distribution.

Cumulative share of population (%) Cumulative share of income (%) Line of perfect equality Illustrative Lorenz curve shaded area used to calculate the Gini coefficient 25 50 75 100 0 0 25 50 75 100
Figure. A stylized Lorenz curve, not drawn from any single country's actual income data. The shaded area between the curve and the diagonal line of perfect equality is exactly the numerator in the Gini coefficient formula given above; a curve that bows further from the diagonal produces a larger shaded area and a higher Gini coefficient.

From a curve to a single number

A curve is useful for visualizing inequality within one country, but it becomes awkward for comparison once curves from different countries start to cross, which happens often enough that you cannot always simply eyeball which distribution is worse. That is the problem the Gini coefficient solves, by converting the whole curve into a single number between 0 and 1.

Gini coefficient = (area between the equality line and the Lorenz curve) ÷ (total area under the equality line)

A coefficient of 0 means perfect equality, every group holding exactly its proportional share of income. A coefficient of 1 means perfect inequality, all income concentrated in a single hand. In practice, no real economy sits at either extreme. As a rough guide, countries with relatively equitable income distribution tend to post Gini coefficients in roughly the 0.2 to 0.35 range, while countries with highly unequal distribution tend to run from about 0.5 up to 0.7. The coefficient makes it possible to rank countries, or to track a single country over time, in a way that a visual comparison of curves cannot always do cleanly.

What can actually be done about it

Once inequality is measured, the policy conversation usually settles around three broad approaches, each targeting a different part of the problem.

None of these three tools works in isolation, and most countries use some blend of all three, with the mix shaped as much by politics as by economics.

See the actual numbers

The Indicators page charts the Gini index for Egypt, Türkiye, and the wider MENA region, with a note on how irregularly it gets reported.

Keywords: Lorenz curve Gini coefficient measuring income inequality income distribution quintiles progressive taxation social safety net land reform redistribution