Cuba vs Republic of Korea: Watermelons — Gross per capita Production Index Number
Cuba
68.26
in 2024
Republic of Korea
69.16
in 2024
Cuba rank
94th
Republic of Korea rank
93rd
Watermelons — Gross per capita Production Index Number over time
- Cuba
- Republic of Korea
How they compare
Republic of Korea currently reports 69.16 against 68.26 in Cuba, a difference of 0.9.
The two have swapped places 2 times across 35 shared years of data; in 1990 it was Republic of Korea ahead.
Cuba ranks 94th and Republic of Korea ranks 93rd of 109 countries.
Republic of Korea has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Cuba | Republic of Korea | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 36.02 | 153.48 | 117.46 | Republic of Korea |
| 2000s | 94.41 | 143.02 | 48.61 | Republic of Korea |
| 2010s | 91.2 | 95.39 | 4.19 | Republic of Korea |
| 2020s | 63.9 | 73.31 | 9.41 | Republic of Korea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Cuba or Republic of Korea?
- Republic of Korea, at 69.16 against 68.26 in Cuba as of 2024.
- What is the difference in watermelons — gross per capita production index number between Cuba and Republic of Korea?
- 0.9, with Republic of Korea ahead.
- How many years of comparable data are there for Cuba and Republic of Korea?
- 35 years are reported by both, from 1990 to 2024.
- How do Cuba and Republic of Korea rank globally for watermelons — gross per capita production index number?
- Cuba ranks 94th and Republic of Korea ranks 93rd 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.