The dataset was intentionally created in a flexible format so that every user can decide to use just one or two of these sources or to combine several sources in a particular way. Represents a compilation and adaptation of income or consumption Gini coefficients (calculated across households or household per capita on gross or net basis) retrieved from 9 sources.See Global and Regional Gini Coefficients from Darvas, Zsolt (2016) ‘Some are more equal than others: new estimates of global and regional inequality’, Working Paper 2016/08, Bruegel, 7 November 2016 This dataset includes annual data from 1988-2020 (or 1980-2020 for EU15 countries) on global and regional Gini coefficient estimates, using various methodologies.Incorporates comparable Gini indices of disposable and market income inequality for 196 countries for as many years as possible from 1960 to the present it also includes information on absolute and relative redistribution.SWIID: The Standardized World Income Inequality Database.The plan is to expand the coverage of GRID to 25+ countries. There are currently 13 countries in GRID: Argentina, Brazil, Canada, Denmark, France, Germany, Italy, Mexico, Norway, Spain, Sweden, the UK, and the US. All statistics in the database have been computed from administrative records data on earnings histories from each country and harmonized for comparability. Global Repository of Income Dynamics- GRID-is an open-access international database that provides a wealth of micro statistics on income inequality and income dynamics at the individual level.A consistent dataset for the net income distribution for 190 countries, aggregated to 32 geographical regions and the world from 1958–2015 (Data can be found at.Aims to provide open and convenient access to the most extensive available database on the historical evolution of the world distribution of income and wealth, both within countries and between countries.Provides various measures of income inequality for 175 countries or areas in some cases dating back to pre-1960.From United Nations University's World Institute for Development Economics Research.

Gini index