Title: World income inequality database (WIID) V2.0a. 2005

Alternate title: UNU-WIDER database v2.0a, 2005

Series title: World income inequality database (WIID)

Principal investigator(s): United Nations University. World Institute for Development Economics Research (UNU-WIDER)

Principal investigator(s): United Nations Development Program (UNDP)

Producer: Helsinki, Finland: United Nations University. World Institute for Development Economics Research (UNU-WIDER)

Date of creation: 2005-06-28

Funding agency:

Collector:

Depositor:

Distributor: Helsinki, Finland: United Nations University. World Institute for Development Economics Research (UNU-WIDER)

Date of distribution: 2005-09-06

Access conditions/restrictions: unrestricted

Summary: The UNU-WIDER World Income Inequality Database (WIID) collects and stores information on income inequality for developed, developing, and transition countries.

Keywords:

Geographic coverage: international (159 countries)

Time period: 1867-2003

Periodicity: varies

Date(s) of collection:

Universe:

Data type: time-series aggregate statistics

Sample:

Unit of observation: country/year

Mode of data collection:

Extent of file: 1 data file (MS Excel format; 4,665 logical records) & accompanying documentation

Citation: World income inequality database (WIID) V2.0a, 2005 [computer file]./ United Nations University. World Institute for Development Economics Research (UNU-WIDER). Helsinki, Finland: (UNU-WIDER) [producer and distributor], 2005.

Notes:

Downloaded from <http://www.wider.unu.edu/wiid/download.htm>.

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.

Related data: WIID v1.0, 2000, v2.0c, 2008

Status: