Somalia vs Southern Africa: Watermelons — Gross Production Index Number
Somalia
345.11
in 2024
Southern Africa
142.71
in 2024
Somalia rank
8th
Southern Africa rank
8th
Watermelons — Gross Production Index Number over time
- Somalia
- Southern Africa
How they compare
Somalia currently reports 345.11 against 142.71 in Southern Africa, a difference of 202.4.
That makes Somalia's figure about 2.4 times Southern Africa's.
The two have swapped places 6 times across 42 shared years of data; in 1983 it was Somalia ahead.
Somalia ranks 8th and Southern Africa ranks 8th of 109 countries.
Across the 5 decades both report, Somalia averaged higher in 4 and Southern Africa in 1.
Head to head by decade
| Decade | Somalia | Southern Africa | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 328.24 | 58.86 | 269.39 | Somalia |
| 1990s | 580.08 | 70.66 | 509.42 | Somalia |
| 2000s | 285.21 | 85.08 | 200.13 | Somalia |
| 2010s | 107.5 | 113.94 | 6.44 | Southern Africa |
| 2020s | 141.1 | 118.24 | 22.86 | Somalia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Somalia or Southern Africa?
- Somalia, at 345.11 against 142.71 in Southern Africa as of 2024.
- What is the difference in watermelons — gross production index number between Somalia and Southern Africa?
- 202.4, with Somalia ahead.
- How many years of comparable data are there for Somalia and Southern Africa?
- 42 years are reported by both, from 1983 to 2024.
- How do Somalia and Southern Africa rank globally for watermelons — gross production index number?
- Somalia ranks 8th and Southern Africa ranks 8th of 109 countries.
- 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.