Montenegro vs Polynesia: Watermelons — Gross per capita Production Index Number
Montenegro
194.21
in 2024
Polynesia
94.86
in 2024
Montenegro rank
11th
Polynesia rank
8th
Watermelons — Gross per capita Production Index Number over time
- Montenegro
- Polynesia
How they compare
Montenegro currently reports 194.21 against 94.86 in Polynesia, a difference of 99.35.
That makes Montenegro's figure about 2.0 times Polynesia's.
The two have swapped places 6 times across 19 shared years of data; in 2006 it was Montenegro ahead.
Montenegro ranks 11th and Polynesia ranks 8th of 109 countries.
Across the 3 decades both report, Montenegro averaged higher in 1 and Polynesia in 2.
Head to head by decade
| Decade | Montenegro | Polynesia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 94.57 | 119.43 | 24.86 | Polynesia |
| 2010s | 85.06 | 101.34 | 16.28 | Polynesia |
| 2020s | 117.28 | 94.68 | 22.6 | Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Montenegro or Polynesia?
- Montenegro, at 194.21 against 94.86 in Polynesia as of 2024.
- What is the difference in watermelons — gross per capita production index number between Montenegro and Polynesia?
- 99.35, with Montenegro ahead.
- How many years of comparable data are there for Montenegro and Polynesia?
- 19 years are reported by both, from 2006 to 2024.
- How do Montenegro and Polynesia rank globally for watermelons — gross per capita production index number?
- Montenegro ranks 11th and Polynesia ranks 8th 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.