Cameroon vs Dominica: Watermelons — Gross per capita Production Index Number
Cameroon
121.08
in 2024
Dominica
119.72
in 2024
Cameroon rank
32nd
Dominica rank
33rd
Watermelons — Gross per capita Production Index Number over time
- Cameroon
- Dominica
How they compare
Cameroon currently reports 121.08 against 119.72 in Dominica, a difference of 1.36.
The two have swapped places 5 times across 35 shared years of data; in 1990 it was Dominica ahead.
Cameroon ranks 32nd and Dominica ranks 33rd of 109 countries.
Across the 4 decades both report, Cameroon averaged higher in 1 and Dominica in 3.
Head to head by decade
| Decade | Cameroon | Dominica | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 34.64 | 74.35 | 39.7 | Dominica |
| 2000s | 60.53 | 89.92 | 29.39 | Dominica |
| 2010s | 91.04 | 107.06 | 16.02 | Dominica |
| 2020s | 118.7 | 117.35 | 1.35 | Cameroon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Cameroon or Dominica?
- Cameroon, at 121.08 against 119.72 in Dominica as of 2024.
- What is the difference in watermelons — gross per capita production index number between Cameroon and Dominica?
- 1.36, with Cameroon ahead.
- How many years of comparable data are there for Cameroon and Dominica?
- 35 years are reported by both, from 1990 to 2024.
- How do Cameroon and Dominica rank globally for watermelons — gross per capita production index number?
- Cameroon ranks 32nd and Dominica ranks 33rd 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.