Gini coefficient (WIID): Difference between revisions
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<li> | <li>Jean-Yves Gerlitz</li><li>Karolin Meyer</li> | ||
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|datarelease = <ul><li>Version 0.001: Initial release</li></ul> | |datarelease = <ul><li>Version 0.001: Initial release</li></ul> | ||
|revisions = No revisions yet | |revisions = <ul><li>No revisions yet</li></ul> | ||
|sources = | |sources = | ||
Revision as of 12:23, 21 September 2021
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels |
|
| Technical name | socstr_gini_coef_wiid4 |
| Category | Social structure |
| Label | Gini Coefficient (WIID) |
| Related indicators |
|
The Gini Coefficient measures income inequality of a population. Generally, the Gini Coefficient measures a area between a hypothetical line (absolute equal distribution of income) and the Lorenz curve. This indicator is based on the calculations of the World Institute for Development Economics Research (UNU-WIDER).
Coding rules
The Gini Coeffizient ranges between "0" and "1". "1" refers to a complete unequal distribution of income and "0" to a complete equal distribution of income.
Bibliographic info
Citation:
- UNU-WIDER. (2018). World income inequality database (wiid 3.4). Retrieved from https://www.wider.unu.edu/database/world-income-inequality-database-wiid34
Related publications:
Misc
Project manager(s):
- Jean-Yves Gerlitz
- Karolin Meyer
Data release:
- Version 0.001: Initial release
Revisions:
- No revisions yet
Sources
- Deakin, Simon, John Armour, and Mathias Siems. 2017. "CBR Leximetric Datasets [updated] [Dataset]". https://doi.org/10.17863/CAM.9130