Somalia vs Viet Nam: Watermelons — Gross per capita Production Index Number
Somalia
250.4
in 2024
Viet Nam
103.8
in 2024
Somalia rank
8th
Viet Nam rank
6th
Watermelons — Gross per capita Production Index Number over time
- Somalia
- Viet Nam
How they compare
Somalia currently reports 250.4 against 103.8 in Viet Nam, a difference of 146.6.
That makes Somalia's figure about 2.4 times Viet Nam's.
The two have swapped places 4 times across 42 shared years of data; in 1983 it was Somalia ahead.
Somalia ranks 8th and Viet Nam ranks 6th of 109 countries.
Across the 5 decades both report, Somalia averaged higher in 4 and Viet Nam in 1.
Head to head by decade
| Decade | Somalia | Viet Nam | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 659.36 | 18.48 | 640.88 | Somalia |
| 1990s | 1,083 | 21.36 | 1,062 | Somalia |
| 2000s | 395.41 | 39.27 | 356.15 | Somalia |
| 2010s | 110.97 | 95.55 | 15.42 | Somalia |
| 2020s | 106.41 | 108.91 | 2.5 | Viet Nam |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Somalia or Viet Nam?
- Somalia, at 250.4 against 103.8 in Viet Nam as of 2024.
- What is the difference in watermelons — gross per capita production index number between Somalia and Viet Nam?
- 146.6, with Somalia ahead.
- How many years of comparable data are there for Somalia and Viet Nam?
- 42 years are reported by both, from 1983 to 2024.
- How do Somalia and Viet Nam rank globally for watermelons — gross per capita production index number?
- Somalia ranks 8th and Viet Nam ranks 6th of 109 countries.
- 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.