Oceania vs Somalia: Watermelons — Gross Production Index Number
Oceania
239.01
in 2024
Somalia
345.11
in 2024
Oceania rank
3rd
Somalia rank
8th
Watermelons — Gross Production Index Number over time
- Oceania
- Somalia
How they compare
Somalia currently reports 345.11 against 239.01 in Oceania, a difference of 106.1.
That makes Somalia's figure about 1.4 times Oceania's.
The two have swapped places 2 times across 42 shared years of data; in 1983 it was Somalia ahead.
Oceania ranks 3rd and Somalia ranks 8th of 27 groups.
Across the 5 decades both report, Oceania averaged higher in 1 and Somalia in 4.
Head to head by decade
| Decade | Oceania | Somalia | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 28.1 | 328.24 | 300.14 | Somalia |
| 1990s | 43.17 | 580.08 | 536.9 | Somalia |
| 2000s | 72.55 | 285.21 | 212.66 | Somalia |
| 2010s | 96.66 | 107.5 | 10.84 | Somalia |
| 2020s | 182.98 | 141.1 | 41.88 | Oceania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Oceania or Somalia?
- Somalia, at 345.11 against 239.01 in Oceania as of 2024.
- What is the difference in watermelons — gross production index number between Oceania and Somalia?
- 106.1, with Somalia ahead.
- How many years of comparable data are there for Oceania and Somalia?
- 42 years are reported by both, from 1983 to 2024.
- How do Oceania and Somalia rank globally for watermelons — gross production index number?
- Oceania ranks 3rd and Somalia ranks 8th of 27 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross 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.