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A family in Tarialan, Uvs Province, Mongolia, uses a solar panel to generate power for their 'ger', a traditional Mongolian tent. Tarialan, Mongolia. UN Photo/Eskinder Debebe.

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Summary features of WIID2c

Summary features of WIID2c

 Countries or areas included                                                     159

  East Asia and Pacific                                                                14

  Eastern Europe and Central Asia                                                27        

  Latin America and Caribbean                                                     26

  Middle East and North Africa                                                     11

  OECD                                                                                      32

  South Asia                                                                               6

  Sub-Saharan Africa                                                                   43

Observations

  Gini coefficients                                                                      5313

  Income distribution by any quantile share                                   2985

Time span

               Before 1960                                                               305

               1960-1979                                                                  1419

               1980-1989                                                                  1084

               1990-1999                                                                  1806

               2000-2006                                                                    699              

Quality ratings

 1 survey and income concept known and ok                               1401                                     

 2 survey or income concept not known or ok                             1641    

 3 neither survey nor income concept known or ok                      1871

 4 memorandum item                                                                 400

We thank Klaus Deininger and Kihoon Lee from the World Bank and Lyn Squire from the Global Development Network for providing us with an update of the Deininger & Squire database, an update not published elsewhere. We are also grateful to Giovanni Andrea Cornia and his research assistant Luca Tiberti for providing us with their update of WIID. We thank the staff at UNICEF-ICDC in Florence for kindly providing us with additional details about the Transmonee data. Finally, several persons have contributed with data or comments: Peter Bolliger (Swiss Federal Statistical Office), Wim Bos (Statistics Netherlands), Andrea Brandolini (Bank of Italy), Kwang Soo Cheong (Johns Hopkins University), Jon Epland (Statistics Norway), Francisco J. Goerlich Gisbert (University of Valencia), Lee Rainwater (Harvard University and Luxembourg Income Study (retired)) and Timothy Smeeding (Maxwell Center for Policy Research and Luxembourg Income Study).

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