Bangladesh vs Ethiopia: Sweet potatoes — Gross Production Value
Sweet potatoes — Gross Production Value over time
- Bangladesh
- Ethiopia
How they compare
Ethiopia currently reports 6.97 million 1000 SLC against 5.99 million 1000 SLC in Bangladesh, a difference of 973,830 1000 SLC.
That makes Ethiopia's figure about 1.2 times Bangladesh's.
The two have swapped places 1 time across 32 shared years of data; in 1993 it was Bangladesh ahead.
Bangladesh ranks 31st and Ethiopia ranks 30th of 84 countries.
Across the 4 decades both report, Bangladesh averaged higher in 2 and Ethiopia in 2.
Head to head by decade
| Decade | Bangladesh | Ethiopia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.15 million 1000 SLC | 60,806 1000 SLC | 1.08 million 1000 SLC | Bangladesh |
| 2000s | 1.60 million 1000 SLC | 226,979 1000 SLC | 1.38 million 1000 SLC | Bangladesh |
| 2010s | 3.48 million 1000 SLC | 5.08 million 1000 SLC | 1.60 million 1000 SLC | Ethiopia |
| 2020s | 5.33 million 1000 SLC | 7.62 million 1000 SLC | 2.28 million 1000 SLC | Ethiopia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sweet potatoes — gross production value, Bangladesh or Ethiopia?
- Ethiopia, at 6.97 million 1000 SLC against 5.99 million 1000 SLC in Bangladesh as of 2024.
- What is the difference in sweet potatoes — gross production value between Bangladesh and Ethiopia?
- 973,830 1000 SLC, with Ethiopia ahead.
- How many years of comparable data are there for Bangladesh and Ethiopia?
- 32 years are reported by both, from 1993 to 2024.
- How do Bangladesh and Ethiopia rank globally for sweet potatoes — gross production value?
- Bangladesh ranks 31st and Ethiopia ranks 30th of 84 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sweet potatoes — 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.