Inequality Index (Gini)

Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.

HOW TO JOIN WITH METADATA

• Concepts (labels/units)
– Use the concept id inequality_index_gini to look up labels and units in @gapminder.metadata.concepts.
SELECT * FROM @gapminder.metadata.concepts WHERE concept = 'inequality_index_gini'.

• Countries and names
– Join your datapoints on geo to @gapminder.metadata.entities_geo_country to get readable country/area names
(e.g., name) and membership attributes such as world_4region, income_groups.

• Regions and other group labels
– After you have a region code from the country table (e.g., world_4region),
you can join to:
· @gapminder.metadata.entities_geo_world_4region on world_4region → region names/colors/shapes
· @gapminder.metadata.entities_geo_world_6region on world_6region → region names
· @gapminder.metadata.entities_geo_income_groups on income_groups → income group names

Example:
SELECT d.time,
c.name AS country,
d.inequality_index_gini AS value
FROM @gapminder.inequality_index_gini.inequality_index_gini_by_geo_time d
LEFT JOIN @gapminder.metadata.entities_geo_country c ON d.geo = c.country;