Canada vs South-Eastern Asia: Watermelons — Gross Production Index Number
Canada
144.61
in 2024
South-Eastern Asia
96.99
in 2024
Canada rank
25th
South-Eastern Asia rank
23rd
Watermelons — Gross Production Index Number over time
- Canada
- South-Eastern Asia
How they compare
Canada currently reports 144.61 against 96.99 in South-Eastern Asia, a difference of 47.62.
That makes Canada's figure about 1.5 times South-Eastern Asia's.
The two have swapped places 5 times across 29 shared years of data; in 1996 it was South-Eastern Asia ahead.
Canada ranks 25th and South-Eastern Asia ranks 23rd of 109 countries.
Across the 4 decades both report, Canada averaged higher in 1 and South-Eastern Asia in 3.
Head to head by decade
| Decade | Canada | South-Eastern Asia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 5.27 | 43.55 | 38.28 | South-Eastern Asia |
| 2000s | 20.48 | 69.46 | 48.98 | South-Eastern Asia |
| 2010s | 91.76 | 96.41 | 4.66 | South-Eastern Asia |
| 2020s | 124.78 | 98.57 | 26.21 | Canada |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Canada or South-Eastern Asia?
- Canada, at 144.61 against 96.99 in South-Eastern Asia as of 2024.
- What is the difference in watermelons — gross production index number between Canada and South-Eastern Asia?
- 47.62, with Canada ahead.
- How many years of comparable data are there for Canada and South-Eastern Asia?
- 29 years are reported by both, from 1996 to 2024.
- How do Canada and South-Eastern Asia rank globally for watermelons — gross production index number?
- Canada ranks 25th and South-Eastern Asia ranks 23rd of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross 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.