Cameroon vs Serbia: Watermelons — Gross Production Value
Cameroon
4.59 million 1000 SLC
in 2024
Serbia
4.50 million 1000 SLC
in 2024
Cameroon rank
33rd
Serbia rank
34th
Watermelons — Gross Production Value over time
- Cameroon
- Serbia
How they compare
Cameroon currently reports 4.59 million 1000 SLC against 4.50 million 1000 SLC in Serbia, a difference of 93,270 1000 SLC.
The two have swapped places 5 times across 19 shared years of data; in 2006 it was Serbia ahead.
Cameroon ranks 33rd and Serbia ranks 34th of 99 countries.
Across the 3 decades both report, Cameroon averaged higher in 1 and Serbia in 2.
Head to head by decade
| Decade | Cameroon | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.33 million 1000 SLC | 2.47 million 1000 SLC | 1.14 million 1000 SLC | Serbia |
| 2010s | 2.46 million 1000 SLC | 3.07 million 1000 SLC | 609,438 1000 SLC | Serbia |
| 2020s | 4.14 million 1000 SLC | 3.84 million 1000 SLC | 301,266 1000 SLC | Cameroon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Cameroon or Serbia?
- Cameroon, at 4.59 million 1000 SLC against 4.50 million 1000 SLC in Serbia as of 2024.
- What is the difference in watermelons — gross production value between Cameroon and Serbia?
- 93,270 1000 SLC, with Cameroon ahead.
- How many years of comparable data are there for Cameroon and Serbia?
- 19 years are reported by both, from 2006 to 2024.
- How do Cameroon and Serbia rank globally for watermelons — gross production value?
- Cameroon ranks 33rd and Serbia ranks 34th 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.