Bangladesh vs Ecuador: Castor oil seeds — Gross Production Value
Bangladesh
7,961 1000 SLC
in 2024
Ecuador
1,898 1000 SLC
in 2024
Bangladesh rank
15th
Ecuador rank
17th
Castor oil seeds — Gross Production Value over time
- Bangladesh
- Ecuador
How they compare
Bangladesh currently reports 7,961 1000 SLC against 1,898 1000 SLC in Ecuador, a difference of 6,063 1000 SLC.
That makes Bangladesh's figure about 4.2 times Ecuador's.
Across all 34 years both countries report, Bangladesh has been ahead every year.
Bangladesh ranks 15th and Ecuador ranks 17th of 23 countries.
Bangladesh has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Bangladesh | Ecuador | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 2,928 1000 SLC | 276.67 1000 SLC | 2,652 1000 SLC | Bangladesh |
| 2000s | 4,490 1000 SLC | 1,152 1000 SLC | 3,338 1000 SLC | Bangladesh |
| 2010s | 6,390 1000 SLC | 1,879 1000 SLC | 4,511 1000 SLC | Bangladesh |
| 2020s | 8,130 1000 SLC | 1,827 1000 SLC | 6,302 1000 SLC | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher castor oil seeds — gross production value, Bangladesh or Ecuador?
- Bangladesh, at 7,961 1000 SLC against 1,898 1000 SLC in Ecuador as of 2024.
- What is the difference in castor oil seeds — gross production value between Bangladesh and Ecuador?
- 6,063 1000 SLC, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Ecuador?
- 34 years are reported by both, from 1991 to 2024.
- How do Bangladesh and Ecuador rank globally for castor oil seeds — gross production value?
- Bangladesh ranks 15th and Ecuador ranks 17th of 23 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Castor oil seeds — 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.