Inequality of income distribution indicators
| Gini's Index (%) | S80/S20 Income quintile share ratio | |
|---|---|---|
| 2023 | 29.9 | 5.0 |
| 2022 | 30.0 | 5.1 |
| 2021 | 30.9 | 5.4 |
| 2020 | 31.7 | 6.0 |
| 2019 | 31.2 | 5.4 |
| 2018 | 30.3 | 5.2 |
| 2017 | 31.8 | 5.7 |
| 2016 | 31.4 | 5.4 |
| 2015 | 32.3 | 6.0 |
| 2014 | 33.0 | 6.4 |
| 2013 | 31.9 | 5.7 |
| Source: Idescat. Survey on Living Conditions. | ||
| Note: Household's annual net income corresponds to the calendar year before that of the survey. | ||
| Gini's Index (%) | S80/S20 Income quintile share ratio | |
|---|---|---|
| 2023 | 31.5 | 5.5 |
| 2022 | 32.0 | 5.6 |
| 2021 | 33.0 | 6.2 |
| 2020 | 32.1 | 5.8 |
| 2019 | 33.0 | 5.9 |
| 2018 | 33.2 | 6.0 |
| 2017 | 34.1 | 6.6 |
| 2016 | 34.5 | 6.6 |
| 2015 | 34.6 | 6.9 |
| 2014 | 34.7 | 6.8 |
| 2013 | 33.7 | 6.3 |
| Source: INE. Survey on Living Conditions. | ||
| Note: Household's annual net income corresponds to the calendar year before that of the survey. | ||
Last update: February 26, 2024.
Methodological note
The Gini index measures the degree of inequality in a distribution of a continuous variable. It is obtained from the sum of the absolute differences between each pair of income of the distribution. The range of values of the Gini index is between 0 (maximum equality) and 100 (maximum inequality).
The S80/S20 income quintile share ratio measures inequality in the distribution through ratios in percentiles, which is interpreted as the income obtained by the highest quintile (i.e., the 20% of the population with the highest economic level) in relation to that of the lowest quintile.
The data for Catalonia comes from the Survey on Living Conditions. This is an annual statistical operation of INE, which Idescat uses to make a specific application of the results for Catalonia.
From 2016, as the result of an agreement signed with the INE to improve this statistic, Idescat carries out its own field work to extend the Survey with information from ore than 1,700 households; this means that the sample now includes more than 3,000 households and 7,300 individuals. The main objective of this extension is to improve the statistical validity of the results.
You can get more information about these statistics in the methodology.