Database
Previous versions of the WIID

Version Excel Stata
WIID3.0 B WIID3b.xls WIID3b.zip
WIID3.0 A WIID3a.xls WIID3a.zip
WIID2.0 WIID2C.xls  

​WIID3.0

​WIID3.0 consists of a checked and corrected WIID2.0 and new estimates from National Survey statistics obtained from the respective country official websites, the Socio-Economic Database for Latin America and the Caribbean, Transmonee, Luxembourg Income Study database, OECD and Eurostat.

The data covers new countries, and nearly 2000 new observations have been added. The current update includes observations for seven more years, with the latest observations now reaching the year 2012.

The database will be updated and notifications and details on the updates will be given on this website. The letter after the number denotes the version of the update. Some minor corrections can be done without a change of the database version.

Please cite this database version as ‘UNU-WIDER, ‘World Income Inequality Database (WIID3.0A)’, June 2014’http://www.wider.unu.edu/research/WIID-3a/en_GB/database/

Please contact the database manager for any questions on the database. We also encourage comments on this revision and contributions of updated data points.

Countries or areas included
179
East Asia and Pacific 21
Europe and Central Asia 27
Latin America and Caribbean 29
Middle East and North Africa 10
OECD 32
South Asia 8
Sub-Saharan Africa 46
Observations
 
Gini coefficients 6902
Income distribution by any quantile share 2924
Time span
 
Before 1960 309
1960-1979 91
1980-1989 1081
1990-1999 1919
2000-2012 1857
Quality ratings
 
1 where the underlying concepts are known 2832
2 survey or income concept partially known 1562
3 both income and consumption concepts are problematic 1852
4 not known 400

 

WIID 2.0

WIID2 consists of a checked and corrected WIID1, a new update of the Deininger & Squire database from the World Bank, new estimates from the Luxembourg Income Study and Transmonee, and other new sources as they have became available. WIID2a contains fewer points of data than WIID1 as some overlaps between the old Deininger & Squire data and estimates included by WIDER have been eliminated along with some low quality estimates adding no information. In addition to the Gini coefficient and quintile and decile shares, survey means and medians along with the income shares of the richest 5% and the poorest 5% have been included in the update. In addition to the Gini coefficient reported by the source, a Gini coefficient calculated using a new method developed by Tony Shorrocks and Guang Hua Wan is reported. The method estimates the Gini coefficient from decile data almost as accurately as if unit record data were used. 

The database will be updated and notifications and details on the updates will be given on the website. The letter denotes the version of the update. Some minor corrections can be done without a change of the database version. Please cite this database version as 'UNU-WIDER World Income Inequality Database, Version 2.0c, May 2008'.​

Please contact the database manager for any questions on the database. We also encourage comments on this revision and contributions of updated data points.

Context