New Zealand vs Serbia: Watermelons — Gross per capita Production Index Number
New Zealand
84.59
in 2024
Serbia
85.13
in 2024
New Zealand rank
81st
Serbia rank
80th
Watermelons — Gross per capita Production Index Number over time
- New Zealand
- Serbia
How they compare
Serbia currently reports 85.13 against 84.59 in New Zealand, a difference of 0.54.
The two have swapped places 7 times across 19 shared years of data; in 2006 it was New Zealand ahead.
New Zealand ranks 81st and Serbia ranks 80th of 109 countries.
New Zealand has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | New Zealand | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 115.53 | 100.22 | 15.31 | New Zealand |
| 2010s | 100.34 | 95.11 | 5.23 | New Zealand |
| 2020s | 85.57 | 75.77 | 9.8 | New Zealand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, New Zealand or Serbia?
- Serbia, at 85.13 against 84.59 in New Zealand as of 2024.
- What is the difference in watermelons — gross per capita production index number between New Zealand and Serbia?
- 0.54, with Serbia ahead.
- How many years of comparable data are there for New Zealand and Serbia?
- 19 years are reported by both, from 2006 to 2024.
- How do New Zealand and Serbia rank globally for watermelons — gross per capita production index number?
- New Zealand ranks 81st and Serbia ranks 80th of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.