Lorenz curve

A typical Lorenz curve

In economics, the Lorenz curve is a graphical representation of the distribution of income or of wealth. It was developed by Max O. Lorenz in 1905 for representing inequality of the wealth distribution.

The curve is a graph showing the proportion of overall income or wealth assumed by the bottom x% of the people, although this is not rigorously true for a finite population (see below). It is often used to represent income distribution, where it shows for the bottom x% of households, what percentage (y%) of the total income they have. The percentage of households is plotted on the x-axis, the percentage of income on the y-axis. It can also be used to show distribution of assets. In such use, many economists consider it to be a measure of social inequality.

The concept is useful in describing inequality among the size of individuals in ecology[1] and in studies of biodiversity, where the cumulative proportion of species is plotted against the cumulative proportion of individuals.[2] It is also useful in business modeling: e.g., in consumer finance, to measure the actual percentage y% of delinquencies attributable to the x% of people with worst risk scores. Lorenz curves were also applied to epidemiology and public health, e.g., to measure pandemic inequality as the distribution of national cumulative incidence (y%) generated by the population residing in areas (x%) ranked with respect to their local epidemic attack rate.[3]

  1. ^ Damgaard, Christian; Jacob Weiner (2000). "Describing inequality in plant size or fecundity". Ecology. 81 (4): 1139–1142. doi:10.1890/0012-9658(2000)081[1139:DIIPSO]2.0.CO;2.
  2. ^ Wittebolle, Lieven; et al. (2009). "Initial community evenness favours functionality under selective stress". Nature. 458 (7238): 623–626. Bibcode:2009Natur.458..623W. doi:10.1038/nature07840. PMID 19270679. S2CID 4419280.
  3. ^ Nguyen, Quang D.; Chang, Sheryl L.; Jamerlan, Christina M.; Prokopenko, Mikhail (2023). "Measuring unequal distribution of pandemic severity across census years, variants of concern and interventions". Population Health Metrics. 21 (17): 17. doi:10.1186/s12963-023-00318-6. PMC 10613397. PMID 37899455.