Polynesia vs Turkmenistan: Watermelons — Gross per capita Production Index Number
Polynesia
94.86
in 2024
Turkmenistan
206.04
in 2024
Polynesia rank
8th
Turkmenistan rank
9th
Watermelons — Gross per capita Production Index Number over time
- Polynesia
- Turkmenistan
How they compare
Turkmenistan currently reports 206.04 against 94.86 in Polynesia, a difference of 111.18.
That makes Turkmenistan's figure about 2.2 times Polynesia's.
The two have swapped places 13 times across 33 shared years of data; in 1992 it was Polynesia ahead.
Polynesia ranks 8th and Turkmenistan ranks 9th of 16 groups.
Across the 4 decades both report, Polynesia averaged higher in 2 and Turkmenistan in 2.
Head to head by decade
| Decade | Polynesia | Turkmenistan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 129.46 | 117.91 | 11.55 | Polynesia |
| 2000s | 128.94 | 117.62 | 11.31 | Polynesia |
| 2010s | 101.34 | 107.86 | 6.53 | Turkmenistan |
| 2020s | 94.68 | 190.55 | 95.87 | Turkmenistan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Polynesia or Turkmenistan?
- Turkmenistan, at 206.04 against 94.86 in Polynesia as of 2024.
- What is the difference in watermelons — gross per capita production index number between Polynesia and Turkmenistan?
- 111.18, with Turkmenistan ahead.
- How many years of comparable data are there for Polynesia and Turkmenistan?
- 33 years are reported by both, from 1992 to 2024.
- How do Polynesia and Turkmenistan rank globally for watermelons — gross per capita production index number?
- Polynesia ranks 8th and Turkmenistan ranks 9th of 16 groups.
- 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.