Bangladesh vs Hungary: Millet — Gross Production Value
Bangladesh
157,319 1000 SLC
in 2024
Hungary
233,132 1000 SLC
in 2017
Bangladesh rank
36th
Hungary rank
34th
Millet — Gross Production Value over time
- Bangladesh
- Hungary
How they compare
Hungary currently reports 233,132 1000 SLC against 157,319 1000 SLC in Bangladesh, a difference of 75,813 1000 SLC.
That makes Hungary's figure about 1.5 times Bangladesh's.
The two have swapped places 1 time across 27 shared years of data; in 1991 it was Bangladesh ahead.
Bangladesh ranks 36th and Hungary ranks 34th of 65 countries.
Across the 3 decades both report, Bangladesh averaged higher in 1 and Hungary in 2.
Head to head by decade
| Decade | Bangladesh | Hungary | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 343,755 1000 SLC | 262,982 1000 SLC | 80,773 1000 SLC | Bangladesh |
| 2000s | 122,906 1000 SLC | 410,750 1000 SLC | 287,844 1000 SLC | Hungary |
| 2010s | 117,825 1000 SLC | 598,882 1000 SLC | 481,057 1000 SLC | Hungary |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher millet — gross production value, Bangladesh or Hungary?
- Hungary, at 233,132 1000 SLC against 157,319 1000 SLC in Bangladesh as of 2017.
- What is the difference in millet — gross production value between Bangladesh and Hungary?
- 75,813 1000 SLC, with Hungary ahead.
- How many years of comparable data are there for Bangladesh and Hungary?
- 27 years are reported by both, from 1991 to 2017.
- How do Bangladesh and Hungary rank globally for millet — gross production value?
- Bangladesh ranks 36th and Hungary ranks 34th of 65 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Millet — 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.