Cameroon vs Kenya: Watermelons — Gross Production Value
Cameroon
4.59 million 1000 SLC
in 2024
Kenya
4.99 million 1000 SLC
in 2024
Cameroon rank
33rd
Kenya rank
32nd
Watermelons — Gross Production Value over time
- Cameroon
- Kenya
How they compare
Kenya currently reports 4.99 million 1000 SLC against 4.59 million 1000 SLC in Cameroon, a difference of 393,540 1000 SLC.
That makes Kenya's figure about 1.1 times Cameroon's.
The two have swapped places 3 times across 33 shared years of data; in 1992 it was Cameroon ahead.
Cameroon ranks 33rd and Kenya ranks 32nd of 99 countries.
Across the 4 decades both report, Cameroon averaged higher in 2 and Kenya in 2.
Head to head by decade
| Decade | Cameroon | Kenya | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 454,487 1000 SLC | 14,144 1000 SLC | 440,343 1000 SLC | Cameroon |
| 2000s | 958,082 1000 SLC | 123,604 1000 SLC | 834,478 1000 SLC | Cameroon |
| 2010s | 2.46 million 1000 SLC | 5.23 million 1000 SLC | 2.78 million 1000 SLC | Kenya |
| 2020s | 4.14 million 1000 SLC | 11.57 million 1000 SLC | 7.42 million 1000 SLC | Kenya |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Cameroon or Kenya?
- Kenya, at 4.99 million 1000 SLC against 4.59 million 1000 SLC in Cameroon as of 2024.
- What is the difference in watermelons — gross production value between Cameroon and Kenya?
- 393,540 1000 SLC, with Kenya ahead.
- How many years of comparable data are there for Cameroon and Kenya?
- 33 years are reported by both, from 1992 to 2024.
- How do Cameroon and Kenya rank globally for watermelons — gross production value?
- Cameroon ranks 33rd and Kenya ranks 32nd of 99 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.