Qatar vs Viet Nam: Watermelons — Gross per capita Production Index Number
Qatar
444.48
in 2024
Viet Nam
103.8
in 2024
Qatar rank
3rd
Viet Nam rank
6th
Watermelons — Gross per capita Production Index Number over time
- Qatar
- Viet Nam
How they compare
Qatar currently reports 444.48 against 103.8 in Viet Nam, a difference of 340.68.
That makes Qatar's figure about 4.3 times Viet Nam's.
The two have swapped places 2 times across 48 shared years of data; in 1977 it was Qatar ahead.
Qatar ranks 3rd and Viet Nam ranks 6th of 109 countries.
Qatar has averaged higher in every one of the 6 decades both report.
Head to head by decade
| Decade | Qatar | Viet Nam | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 9,496 | 14.47 | 9,481 | Qatar |
| 1980s | 4,946 | 17.54 | 4,929 | Qatar |
| 1990s | 4,258 | 21.36 | 4,236 | Qatar |
| 2000s | 768.12 | 39.27 | 728.86 | Qatar |
| 2010s | 136.04 | 95.55 | 40.49 | Qatar |
| 2020s | 294.4 | 108.91 | 185.49 | Qatar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Qatar or Viet Nam?
- Qatar, at 444.48 against 103.8 in Viet Nam as of 2024.
- What is the difference in watermelons — gross per capita production index number between Qatar and Viet Nam?
- 340.68, with Qatar ahead.
- How many years of comparable data are there for Qatar and Viet Nam?
- 48 years are reported by both, from 1977 to 2024.
- How do Qatar and Viet Nam rank globally for watermelons — gross per capita production index number?
- Qatar ranks 3rd 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.