Cameroon vs Serbia: Soya beans — Gross Production Value
Cameroon
4.24 million 1000 SLC
in 2024
Serbia
13.16 million 1000 SLC
in 2024
Cameroon rank
25th
Serbia rank
22nd
Soya beans — Gross Production Value over time
- Cameroon
- Serbia
How they compare
Serbia currently reports 13.16 million 1000 SLC against 4.24 million 1000 SLC in Cameroon, a difference of 8.92 million 1000 SLC.
That makes Serbia's figure about 3.1 times Cameroon's.
Across all 19 years both countries report, Serbia has been ahead every year.
Cameroon ranks 25th and Serbia ranks 22nd of 73 countries.
Serbia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Cameroon | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 318,035 1000 SLC | 13.60 million 1000 SLC | 13.29 million 1000 SLC | Serbia |
| 2010s | 1.13 million 1000 SLC | 19.10 million 1000 SLC | 17.97 million 1000 SLC | Serbia |
| 2020s | 3.87 million 1000 SLC | 20.02 million 1000 SLC | 16.15 million 1000 SLC | Serbia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Cameroon or Serbia?
- Serbia, at 13.16 million 1000 SLC against 4.24 million 1000 SLC in Cameroon as of 2024.
- What is the difference in soya beans — gross production value between Cameroon and Serbia?
- 8.92 million 1000 SLC, with Serbia 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 soya beans — gross production value?
- Cameroon ranks 25th and Serbia ranks 22nd of 73 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — Gross Production Value (constant 2014-2016 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.