Cameroon vs Serbia and Montenegro: Chestnuts, in shell — Gross Production Value
Chestnuts, in shell — Gross Production Value over time
- Cameroon
- Serbia and Montenegro
How they compare
Serbia and Montenegro currently reports 58,898 1000 SLC against 44,298 1000 SLC in Cameroon, a difference of 14,600 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 13th and Serbia and Montenegro ranks 12th of 22 countries.
Across the 2 decades both report, Cameroon averaged higher in 1 and Serbia and Montenegro in 1.
Head to head by decade
| Decade | Cameroon | Serbia and Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 18,186 1000 SLC | 8,570 1000 SLC | 9,616 1000 SLC | Cameroon |
| 2000s | 17,073 1000 SLC | 46,707 1000 SLC | 29,635 1000 SLC | Serbia and Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher chestnuts, in shell — gross production value, Cameroon or Serbia and Montenegro?
- Serbia and Montenegro, at 58,898 1000 SLC against 44,298 1000 SLC in Cameroon as of 2005.
- What is the difference in chestnuts, in shell — gross production value between Cameroon and Serbia and Montenegro?
- 14,600 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 chestnuts, in shell — gross production value?
- Cameroon ranks 13th and Serbia and Montenegro ranks 12th of 22 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Chestnuts, in shell — 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.