Italy vs New Zealand: Use of interpolation and extrapolation on original Gini coefficient data
Italy
34,027
in 2017
New Zealand
34,876
in 2017
Italy rank
28th
New Zealand rank
27th
Use of interpolation and extrapolation on original Gini coefficient data over time
- Italy
- New Zealand
How they compare
New Zealand currently reports 34,876 against 34,027 in Italy, a difference of 849.
The two have swapped places 3 times across 15 shared years of data; in 1820 it was Italy ahead.
Italy ranks 28th and New Zealand ranks 27th of 160 countries.
Across the 13 decades both report, Italy averaged higher in 6 and New Zealand in 7.
Head to head by decade
| Decade | Italy | New Zealand | Difference | Ahead |
|---|---|---|---|---|
| 1820s | 2,665 | 826 | 1,839 | Italy |
| 1850s | 2,611 | 1,824 | 787 | Italy |
| 1870s | 2,826 | 4,941 | 2,115 | New Zealand |
| 1890s | 2,974 | 5,985 | 3,011 | New Zealand |
| 1910s | 3,829 | 8,474 | 4,645 | New Zealand |
| 1920s | 4,889 | 8,388 | 3,499 | New Zealand |
| 1950s | 5,582 | 13,479 | 7,897 | New Zealand |
| 1960s | 9,430 | 15,087 | 5,657 | New Zealand |
| 1970s | 15,492 | 17,835 | 2,343 | New Zealand |
| 1980s | 20,959 | 19,681 | 1,278 | Italy |
| 1990s | 26,003 | 21,817 | 4,186 | Italy |
| 2000s | 33,794 | 28,546 | 5,248 | Italy |
| 2010s | 34,396 | 33,231 | 1,166 | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher use of interpolation and extrapolation on original gini coefficient data, Italy or New Zealand?
- New Zealand, at 34,876 against 34,027 in Italy as of 2017.
- What is the difference in use of interpolation and extrapolation on original gini coefficient data between Italy and New Zealand?
- 849, with New Zealand ahead.
- How many years of comparable data are there for Italy and New Zealand?
- 15 years are reported by both, from 1820 to 2017.
- How do Italy and New Zealand rank globally for use of interpolation and extrapolation on original gini coefficient data?
- Italy ranks 28th and New Zealand ranks 27th of 160 countries.
- Where does this data come from?
- Various sources (2020) – processed by Our World in Data, published as Use of interpolation and extrapolation on original Gini coefficient data. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
In order to produce global estimates of historical poverty trends we have interpolated or extrapolated inequality data for missing observations. Green indicates observations of the Gini coefficient available in the original source.