Costa Rica vs Malaysia: Watermelons — Gross per capita Production Index Number
Costa Rica
76.05
in 2024
Malaysia
73.94
in 2024
Costa Rica rank
90th
Malaysia rank
91st
Watermelons — Gross per capita Production Index Number over time
- Costa Rica
- Malaysia
How they compare
Costa Rica currently reports 76.05 against 73.94 in Malaysia, a difference of 2.11.
The two have swapped places 7 times across 36 shared years of data; in 1989 it was Malaysia ahead.
Costa Rica ranks 90th and Malaysia ranks 91st of 109 countries.
Across the 5 decades both report, Costa Rica averaged higher in 1 and Malaysia in 4.
Head to head by decade
| Decade | Costa Rica | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 40.6 | 51.65 | 11.05 | Malaysia |
| 1990s | 82.68 | 104.33 | 21.66 | Malaysia |
| 2000s | 87.7 | 104.09 | 16.39 | Malaysia |
| 2010s | 98.72 | 106.18 | 7.46 | Malaysia |
| 2020s | 68.65 | 67.99 | 0.656 | Costa Rica |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Costa Rica or Malaysia?
- Costa Rica, at 76.05 against 73.94 in Malaysia as of 2024.
- What is the difference in watermelons — gross per capita production index number between Costa Rica and Malaysia?
- 2.11, with Costa Rica ahead.
- How many years of comparable data are there for Costa Rica and Malaysia?
- 36 years are reported by both, from 1989 to 2024.
- How do Costa Rica and Malaysia rank globally for watermelons — gross per capita production index number?
- Costa Rica ranks 90th 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.