Italy vs New Zealand: Income inequality: Gini coefficient before and after tax among working age population
Italy
0.3226
in 2023
New Zealand
0.311
in 2022
Italy rank
13th
New Zealand rank
15th
Income inequality: Gini coefficient before and after tax among working age population over time
- Italy
- New Zealand
How they compare
Italy currently reports 0.3226 against 0.311 in New Zealand, a difference of 0.0116.
The two have swapped places 3 times across 17 shared years of data; in 2006 it was New Zealand ahead.
Italy ranks 13th and New Zealand ranks 15th of 39 countries.
Across the 3 decades both report, Italy averaged higher in 2 and New Zealand in 1.
Head to head by decade
| Decade | Italy | New Zealand | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.3135 | 0.3225 | 0.009 | New Zealand |
| 2010s | 0.3322 | 0.3226 | 0.0096 | Italy |
| 2020s | 0.3251 | 0.3023 | 0.0228 | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher income inequality: gini coefficient before and after tax among working age population, Italy or New Zealand?
- Italy, at 0.3226 against 0.311 in New Zealand as of 2023.
- What is the difference in income inequality: gini coefficient before and after tax among working age population between Italy and New Zealand?
- 0.0116, with Italy ahead.
- How many years of comparable data are there for Italy and New Zealand?
- 17 years are reported by both, from 2006 to 2022.
- How do Italy and New Zealand rank globally for income inequality: gini coefficient before and after tax among working age population?
- Italy ranks 13th and New Zealand ranks 15th of 39 countries.
- Where does this data come from?
- OECD (2026) – with minor processing by Our World in Data, published as Income inequality: Gini coefficient before and after tax among working age population. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality.