The World Income Inequality Database (WIID) presents information on income inequality for developed, developing, and transition countries. It provides the most comprehensive set of income inequality statistics available and can be downloaded for free.
The latest version of the WIID, released in May 2020, covers 200 countries (including historical entities), with over 11,000 data points in total. With the current version, the latest observations now reach the year 2018. The data can be downloaded here. WIID is also available in the interactive visualization tool.
In large parts of the world, income inequality has been rising in recent decades. Other regions have experienced declining trends in income inequality. This raises the question of which mechanisms underlie contrasting observed trends in income...
The author discusses a new approach which decomposes inequality into the contributions of population groups by income sources. The author estimates a matrix with rows and columns which indicate different population groups and income sources...
After 20 years of contributions to income inequality research, the World Income Inequality Database (the WIID) is getting a new expansion that will...
An influential paper by Berg et al., ‘Redistribution, inequality, and growth: new evidence’, uses the SWIID data to examine the impact of inequality and redistribution on growth in both developing and developed countries. It finds that while...
In this paper, we use the World Income Inequality Database to assess the main trends in inequality within countries since around 1990. We cope with the heterogeneity in the original information (regarding the measure of resources, equivalence scale...
In large parts of the world, income inequality has been rising in recent decades. Other regions have experienced declining trends in income inequality. This raises the question of which mechanisms underlie contrasting observed trends in income...
The understanding of inequality requires the analysis of changes in income distributions across countries and over time as well as the identification...
I discuss a new approach which decomposes inequality into the contributions of population groups by income sources. I estimate a matrix with rows and columns which indicate different population groups and income sources respectively, with each...
Income inequality is the result of complex processes with multiple interacting driving forces but understanding those drivers in emerging economies is...
Professor Stephen Jenkins (this issue) has conducted an extremely careful and insightful analysis of two datasets, WIID and SWIID. In this short response, we focus on his review of the WIID, maintained and published by UNU-WIDER in agreement with the...
27 August 2014 Jukka Pirttilä and Tony Addison The last few months have seen major research activity in the area of inequality at UNU-WIDER. An update...
This project is part of World inequality
Theme: 2014-18, Inclusion
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