Bangladesh vs Cameroon: Non Food — Gross Production Value
Non Food — Gross Production Value over time
- Bangladesh
- Cameroon
How they compare
Bangladesh currently reports 135.21 million 1000 SLC against 77.08 million 1000 SLC in Cameroon, a difference of 58.13 million 1000 SLC.
That makes Bangladesh's figure about 1.8 times Cameroon's.
The two have swapped places 4 times across 34 shared years of data; in 1991 it was Bangladesh ahead.
Bangladesh ranks 9th and Cameroon ranks 12th of 120 countries.
Across the 4 decades both report, Bangladesh averaged higher in 1 and Cameroon in 3.
Head to head by decade
| Decade | Bangladesh | Cameroon | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 7.30 million 1000 SLC | 11.58 million 1000 SLC | 4.28 million 1000 SLC | Cameroon |
| 2000s | 12.65 million 1000 SLC | 51.39 million 1000 SLC | 38.74 million 1000 SLC | Cameroon |
| 2010s | 47.37 million 1000 SLC | 76.53 million 1000 SLC | 29.16 million 1000 SLC | Cameroon |
| 2020s | 97.09 million 1000 SLC | 70.78 million 1000 SLC | 26.30 million 1000 SLC | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher non food — gross production value, Bangladesh or Cameroon?
- Bangladesh, at 135.21 million 1000 SLC against 77.08 million 1000 SLC in Cameroon as of 2024.
- What is the difference in non food — gross production value between Bangladesh and Cameroon?
- 58.13 million 1000 SLC, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Cameroon?
- 34 years are reported by both, from 1991 to 2024.
- How do Bangladesh and Cameroon rank globally for non food — gross production value?
- Bangladesh ranks 9th and Cameroon ranks 12th of 120 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Non Food — 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.