Americas vs Somalia: Watermelons — Gross Production Index Number
Americas
113.96
in 2024
Somalia
345.11
in 2024
Americas rank
12th
Somalia rank
8th
Watermelons — Gross Production Index Number over time
- Americas
- Somalia
How they compare
Somalia currently reports 345.11 against 113.96 in Americas, a difference of 231.15.
That makes Somalia's figure about 3.0 times Americas's.
The two have swapped places 4 times across 42 shared years of data; in 1983 it was Somalia ahead.
Americas ranks 12th and Somalia ranks 8th of 27 groups.
Somalia has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Americas | Somalia | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 42.33 | 328.24 | 285.91 | Somalia |
| 1990s | 59.83 | 580.08 | 520.25 | Somalia |
| 2000s | 88.47 | 285.21 | 196.74 | Somalia |
| 2010s | 102.92 | 107.5 | 4.58 | Somalia |
| 2020s | 108.36 | 141.1 | 32.74 | Somalia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Americas or Somalia?
- Somalia, at 345.11 against 113.96 in Americas as of 2024.
- What is the difference in watermelons — gross production index number between Americas and Somalia?
- 231.15, with Somalia ahead.
- How many years of comparable data are there for Americas and Somalia?
- 42 years are reported by both, from 1983 to 2024.
- How do Americas and Somalia rank globally for watermelons — gross production index number?
- Americas ranks 12th 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.