Bangladesh vs Lithuania: Rape or colza seed — Gross Production Value
Rape or colza seed — Gross Production Value over time
- Bangladesh
- Lithuania
How they compare
Bangladesh currently reports 299,854 1000 Int$ against 255,551 1000 Int$ in Lithuania, a difference of 44,303 1000 Int$.
That makes Bangladesh's figure about 1.2 times Lithuania's.
The two have swapped places 3 times across 26 shared years of data; in 1992 it was Bangladesh ahead.
Bangladesh ranks 18th and Lithuania ranks 19th of 67 countries.
Across the 3 decades both report, Bangladesh averaged higher in 2 and Lithuania in 1.
Head to head by decade
| Decade | Bangladesh | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 115,997 1000 Int$ | 17,020 1000 Int$ | 98,976 1000 Int$ | Bangladesh |
| 2000s | 100,756 1000 Int$ | 94,238 1000 Int$ | 6,518 1000 Int$ | Bangladesh |
| 2010s | 141,298 1000 Int$ | 237,506 1000 Int$ | 96,209 1000 Int$ | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher rape or colza seed — gross production value, Bangladesh or Lithuania?
- Bangladesh, at 299,854 1000 Int$ against 255,551 1000 Int$ in Lithuania as of 2024.
- What is the difference in rape or colza seed — gross production value between Bangladesh and Lithuania?
- 44,303 1000 Int$, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Lithuania?
- 26 years are reported by both, from 1992 to 2017.
- How do Bangladesh and Lithuania rank globally for rape or colza seed — gross production value?
- Bangladesh ranks 18th and Lithuania ranks 19th of 67 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Rape or colza seed — Gross Production Value (constant 2014-2016 thousand I$). 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.