Bangladesh vs Hungary: Linseed — Gross Production Value
Bangladesh
210,235 1000 SLC
in 2024
Hungary
293,012 1000 SLC
in 2018
Bangladesh rank
12th
Hungary rank
10th
Linseed — Gross Production Value over time
- Bangladesh
- Hungary
How they compare
Hungary currently reports 293,012 1000 SLC against 210,235 1000 SLC in Bangladesh, a difference of 82,777 1000 SLC.
That makes Hungary's figure about 1.4 times Bangladesh's.
The two have swapped places 3 times across 28 shared years of data; in 1991 it was Bangladesh ahead.
Bangladesh ranks 12th and Hungary ranks 10th of 47 countries.
Across the 3 decades both report, Bangladesh averaged higher in 2 and Hungary in 1.
Head to head by decade
| Decade | Bangladesh | Hungary | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 707,277 1000 SLC | 67,030 1000 SLC | 640,246 1000 SLC | Bangladesh |
| 2000s | 101,224 1000 SLC | 144,185 1000 SLC | 42,960 1000 SLC | Hungary |
| 2010s | 264,224 1000 SLC | 188,810 1000 SLC | 75,414 1000 SLC | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher linseed — gross production value, Bangladesh or Hungary?
- Hungary, at 293,012 1000 SLC against 210,235 1000 SLC in Bangladesh as of 2018.
- What is the difference in linseed — gross production value between Bangladesh and Hungary?
- 82,777 1000 SLC, with Hungary ahead.
- How many years of comparable data are there for Bangladesh and Hungary?
- 28 years are reported by both, from 1991 to 2018.
- How do Bangladesh and Hungary rank globally for linseed — gross production value?
- Bangladesh ranks 12th and Hungary ranks 10th of 47 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Linseed — 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.