Middle Africa vs Viet Nam: Watermelons — Gross per capita Production Index Number
Middle Africa
116.55
in 2024
Viet Nam
103.8
in 2024
Middle Africa rank
5th
Viet Nam rank
6th
Watermelons — Gross per capita Production Index Number over time
- Middle Africa
- Viet Nam
How they compare
Middle Africa currently reports 116.55 against 103.8 in Viet Nam, a difference of 12.75.
That makes Middle Africa's figure about 1.1 times Viet Nam's.
The two have swapped places 5 times across 35 shared years of data; in 1990 it was Viet Nam ahead.
Middle Africa ranks 5th and Viet Nam ranks 6th of 16 groups.
Across the 4 decades both report, Middle Africa averaged higher in 3 and Viet Nam in 1.
Head to head by decade
| Decade | Middle Africa | Viet Nam | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 37.21 | 21.36 | 15.85 | Middle Africa |
| 2000s | 62.82 | 39.27 | 23.56 | Middle Africa |
| 2010s | 91 | 95.55 | 4.56 | Viet Nam |
| 2020s | 115.45 | 108.91 | 6.54 | Middle Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Middle Africa or Viet Nam?
- Middle Africa, at 116.55 against 103.8 in Viet Nam as of 2024.
- What is the difference in watermelons — gross per capita production index number between Middle Africa and Viet Nam?
- 12.75, with Middle Africa ahead.
- How many years of comparable data are there for Middle Africa and Viet Nam?
- 35 years are reported by both, from 1990 to 2024.
- How do Middle Africa and Viet Nam rank globally for watermelons — gross per capita production index number?
- Middle Africa ranks 5th and Viet Nam ranks 6th 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.