Asia vs Somalia: Watermelons — Gross per capita Production Index Number
Asia
94.15
in 2024
Somalia
250.4
in 2024
Asia rank
9th
Somalia rank
8th
Watermelons — Gross per capita Production Index Number over time
- Asia
- Somalia
How they compare
Somalia currently reports 250.4 against 94.15 in Asia, a difference of 156.25.
That makes Somalia's figure about 2.7 times Asia's.
The two have swapped places 4 times across 42 shared years of data; in 1983 it was Somalia ahead.
Asia ranks 9th and Somalia ranks 8th of 16 groups.
Somalia has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Asia | Somalia | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 39.82 | 659.36 | 619.54 | Somalia |
| 1990s | 54.09 | 1,083 | 1,029 | Somalia |
| 2000s | 100.08 | 395.41 | 295.33 | Somalia |
| 2010s | 98.05 | 110.97 | 12.92 | Somalia |
| 2020s | 94.84 | 106.41 | 11.56 | Somalia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Asia or Somalia?
- Somalia, at 250.4 against 94.15 in Asia as of 2024.
- What is the difference in watermelons — gross per capita production index number between Asia and Somalia?
- 156.25, with Somalia ahead.
- How many years of comparable data are there for Asia and Somalia?
- 42 years are reported by both, from 1983 to 2024.
- How do Asia and Somalia rank globally for watermelons — gross per capita production index number?
- Asia ranks 9th and Somalia ranks 8th 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.