Figure: The erosion of the middle class share in market income
All the Ginis (ALG) dataset (version: February 2019)
This dataset 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 nine sources. 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. The database covers the period 1948-2017 and includes 5121 Ginis from 201 countries or territories, all coming from nationally representative household surveys.
Dataset (.dta) Stata12 with the Stata file attached here
Assessment of All the Gini database (.pdf)
World Income Distribution (WYD) dataset 1988-2008
World wide household survey data (1988-2005), from approximately 120 countries, arranged mostly by income or consumption ventile, and used in several papers, and in the books Worlds Apart: Measuring International and Global Inequality (Princeton University Press, 2005) and The Haves and the Have-Nots: a Short and Idiosyncratic History of Global Inequality (Basic books, 2010) can be downloaded here. The data are in Stata10 and for five benchmark years: 1988, 1993, 1998, 2002 and 2005 (in a single file), plus there is an update for 2008.
Global Income Inequality data, 1988-2005 at approximate 5 year intervals (STATA v10, 538kb) (version: July 2012)
World Income Distribution (WYD) variable description (PDF file, 138kb)
New ventile-based data for global inequality, year 2008, can be downloaded here
New ventile-based data for global inequality, year 2011, can be downloaded here
Lakner-Milanovic World Panel Income Distribution
This database contains a panel of country-deciles covering the twenty year period 1988-2008, expressed in common currency and prices (2005 Purchasing Power Parity (PPP) dollars derived from the 2005 International Comparison Project). The database allows comparisons of average incomes by decile both across time and across countries. The data, explanation of the variables and the relevant papers can be downloaded here: