Cuba vs Malaysia: Watermelons — Gross per capita Production Index Number
Cuba
68.26
in 2024
Malaysia
73.94
in 2024
Cuba rank
94th
Malaysia rank
91st
Watermelons — Gross per capita Production Index Number over time
- Cuba
- Malaysia
How they compare
Malaysia currently reports 73.94 against 68.26 in Cuba, a difference of 5.68.
That makes Malaysia's figure about 1.1 times Cuba's.
The two have swapped places 6 times across 35 shared years of data; in 1990 it was Malaysia ahead.
Cuba ranks 94th and Malaysia ranks 91st of 109 countries.
Malaysia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Cuba | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 36.02 | 104.33 | 68.31 | Malaysia |
| 2000s | 94.41 | 104.09 | 9.68 | Malaysia |
| 2010s | 91.2 | 106.18 | 14.98 | Malaysia |
| 2020s | 63.9 | 67.99 | 4.09 | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Cuba or Malaysia?
- Malaysia, at 73.94 against 68.26 in Cuba as of 2024.
- What is the difference in watermelons — gross per capita production index number between Cuba and Malaysia?
- 5.68, with Malaysia ahead.
- How many years of comparable data are there for Cuba and Malaysia?
- 35 years are reported by both, from 1990 to 2024.
- How do Cuba and Malaysia rank globally for watermelons — gross per capita production index number?
- Cuba ranks 94th and Malaysia ranks 91st 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.