Canada vs South America: Watermelons — Gross per capita Production Index Number
Canada
130.89
in 2024
South America
91.59
in 2024
Canada rank
24th
South America rank
22nd
Watermelons — Gross per capita Production Index Number over time
- Canada
- South America
How they compare
Canada currently reports 130.89 against 91.59 in South America, a difference of 39.3.
That makes Canada's figure about 1.4 times South America's.
The two have swapped places 3 times across 29 shared years of data; in 1996 it was South America ahead.
Canada ranks 24th and South America ranks 22nd of 109 countries.
Across the 4 decades both report, Canada averaged higher in 1 and South America in 3.
Head to head by decade
| Decade | Canada | South America | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 6.27 | 56.31 | 50.03 | South America |
| 2000s | 22.39 | 92.54 | 70.15 | South America |
| 2010s | 91.71 | 102.25 | 10.54 | South America |
| 2020s | 115.28 | 92.75 | 22.53 | Canada |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Canada or South America?
- Canada, at 130.89 against 91.59 in South America as of 2024.
- What is the difference in watermelons — gross per capita production index number between Canada and South America?
- 39.3, with Canada ahead.
- How many years of comparable data are there for Canada and South America?
- 29 years are reported by both, from 1996 to 2024.
- How do Canada and South America rank globally for watermelons — gross per capita production index number?
- Canada ranks 24th and South America ranks 22nd 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.