Bangladesh vs Ethiopia: Soya beans — Gross Production Value
Bangladesh
4.32 million 1000 SLC
in 2024
Ethiopia
4.38 million 1000 SLC
in 2024
Bangladesh rank
28th
Ethiopia rank
27th
Soya beans — Gross Production Value over time
- Bangladesh
- Ethiopia
How they compare
Ethiopia currently reports 4.38 million 1000 SLC against 4.32 million 1000 SLC in Bangladesh, a difference of 61,190 1000 SLC.
The two have swapped places 1 time across 20 shared years of data; in 2005 it was Bangladesh ahead.
Bangladesh ranks 28th and Ethiopia ranks 27th of 75 countries.
Bangladesh has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Bangladesh | Ethiopia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.35 million 1000 SLC | 23,230 1000 SLC | 1.33 million 1000 SLC | Bangladesh |
| 2010s | 3.46 million 1000 SLC | 1.24 million 1000 SLC | 2.21 million 1000 SLC | Bangladesh |
| 2020s | 4.04 million 1000 SLC | 3.78 million 1000 SLC | 256,138 1000 SLC | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Bangladesh or Ethiopia?
- Ethiopia, at 4.38 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 Ethiopia?
- 61,190 1000 SLC, with Ethiopia ahead.
- How many years of comparable data are there for Bangladesh and Ethiopia?
- 20 years are reported by both, from 2005 to 2024.
- How do Bangladesh and Ethiopia rank globally for soya beans — gross production value?
- Bangladesh ranks 28th and Ethiopia ranks 27th 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.