Bangladesh vs Cameroon: Soya beans — Gross Production Value
Soya beans — Gross Production Value over time
- Bangladesh
- Cameroon
How they compare
Cameroon currently reports 4.88 million 1000 SLC against 4.32 million 1000 SLC in Bangladesh, a difference of 555,510 1000 SLC.
That makes Cameroon's figure about 1.1 times Bangladesh's.
The two have swapped places 3 times across 20 shared years of data; in 2005 it was Bangladesh ahead.
Bangladesh ranks 28th and Cameroon ranks 26th of 75 countries.
Across the 3 decades both report, Bangladesh averaged higher in 2 and Cameroon in 1.
Head to head by decade
| Decade | Bangladesh | Cameroon | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.35 million 1000 SLC | 283,643 1000 SLC | 1.07 million 1000 SLC | Bangladesh |
| 2010s | 3.46 million 1000 SLC | 1.13 million 1000 SLC | 2.32 million 1000 SLC | Bangladesh |
| 2020s | 4.04 million 1000 SLC | 4.29 million 1000 SLC | 252,024 1000 SLC | Cameroon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Bangladesh or Cameroon?
- Cameroon, at 4.88 million 1000 SLC against 4.32 million 1000 SLC in Bangladesh as of 2024.
- What is the difference in soya beans — gross production value between Bangladesh and Cameroon?
- 555,510 1000 SLC, with Cameroon ahead.
- How many years of comparable data are there for Bangladesh and Cameroon?
- 20 years are reported by both, from 2005 to 2024.
- How do Bangladesh and Cameroon rank globally for soya beans — gross production value?
- Bangladesh ranks 28th and Cameroon ranks 26th 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.