Cameroon vs Serbia and Montenegro: Soya beans — Gross Production Value
Soya beans — Gross Production Value over time
- Cameroon
- Serbia and Montenegro
How they compare
Serbia and Montenegro currently reports 6.13 million 1000 SLC against 4.88 million 1000 SLC in Cameroon, a difference of 1.26 million 1000 SLC.
That makes Serbia and Montenegro's figure about 1.3 times Cameroon's.
The two have swapped places 1 time across 12 shared years of data; in 1994 it was Cameroon ahead.
Cameroon ranks 26th and Serbia and Montenegro ranks 24th of 75 countries.
Serbia and Montenegro has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Cameroon | Serbia and Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 130,329 1000 SLC | 328,718 1000 SLC | 198,389 1000 SLC | Serbia and Montenegro |
| 2000s | 150,244 1000 SLC | 3.40 million 1000 SLC | 3.24 million 1000 SLC | Serbia and Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Cameroon or Serbia and Montenegro?
- Serbia and Montenegro, at 6.13 million 1000 SLC against 4.88 million 1000 SLC in Cameroon as of 2005.
- What is the difference in soya beans — gross production value between Cameroon and Serbia and Montenegro?
- 1.26 million 1000 SLC, with Serbia and Montenegro ahead.
- How many years of comparable data are there for Cameroon and Serbia and Montenegro?
- 12 years are reported by both, from 1994 to 2005.
- How do Cameroon and Serbia and Montenegro rank globally for soya beans — gross production value?
- Cameroon ranks 26th and Serbia and Montenegro ranks 24th of 75 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — 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.