Canada vs Northern Africa: Watermelons — Gross Production Index Number
Canada
144.61
in 2024
Northern Africa
87.13
in 2024
Canada rank
25th
Northern Africa rank
26th
Watermelons — Gross Production Index Number over time
- Canada
- Northern Africa
How they compare
Canada currently reports 144.61 against 87.13 in Northern Africa, a difference of 57.48.
That makes Canada's figure about 1.7 times Northern Africa's.
The two have swapped places 5 times across 29 shared years of data; in 1996 it was Northern Africa ahead.
Canada ranks 25th and Northern Africa ranks 26th of 109 countries.
Across the 4 decades both report, Canada averaged higher in 1 and Northern Africa in 3.
Head to head by decade
| Decade | Canada | Northern Africa | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 5.27 | 55.6 | 50.33 | Northern Africa |
| 2000s | 20.48 | 77.11 | 56.63 | Northern Africa |
| 2010s | 91.76 | 94.52 | 2.76 | Northern Africa |
| 2020s | 124.78 | 90.38 | 34.39 | Canada |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Canada or Northern Africa?
- Canada, at 144.61 against 87.13 in Northern Africa as of 2024.
- What is the difference in watermelons — gross production index number between Canada and Northern Africa?
- 57.48, with Canada ahead.
- How many years of comparable data are there for Canada and Northern Africa?
- 29 years are reported by both, from 1996 to 2024.
- How do Canada and Northern Africa rank globally for watermelons — gross production index number?
- Canada ranks 25th and Northern Africa ranks 26th 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.