Argentina vs Ecuador: Watermelons — Gross per capita Production Index Number
Argentina
94.32
in 2024
Ecuador
92.79
in 2024
Argentina rank
64th
Ecuador rank
65th
Watermelons — Gross per capita Production Index Number over time
- Argentina
- Ecuador
How they compare
Argentina currently reports 94.32 against 92.79 in Ecuador, a difference of 1.53.
The two have swapped places 6 times across 64 shared years of data; in 1961 it was Argentina ahead.
Argentina ranks 64th and Ecuador ranks 65th of 109 countries.
Argentina has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Argentina | Ecuador | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 274.39 | 41.25 | 233.15 | Argentina |
| 1970s | 232.55 | 41.58 | 190.97 | Argentina |
| 1980s | 144.93 | 91.45 | 53.48 | Argentina |
| 1990s | 125.98 | 72.06 | 53.92 | Argentina |
| 2000s | 111.08 | 66.15 | 44.93 | Argentina |
| 2010s | 100.42 | 97.18 | 3.24 | Argentina |
| 2020s | 94.64 | 94.47 | 0.168 | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Argentina or Ecuador?
- Argentina, at 94.32 against 92.79 in Ecuador as of 2024.
- What is the difference in watermelons — gross per capita production index number between Argentina and Ecuador?
- 1.53, with Argentina ahead.
- How many years of comparable data are there for Argentina and Ecuador?
- 64 years are reported by both, from 1961 to 2024.
- How do Argentina and Ecuador rank globally for watermelons — gross per capita production index number?
- Argentina ranks 64th and Ecuador ranks 65th 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.