Bangladesh vs Serbia and Montenegro: Beans, dry — Gross Production Value
Beans, dry — Gross Production Value over time
- Bangladesh
- Serbia and Montenegro
How they compare
Serbia and Montenegro currently reports 5.00 million 1000 SLC against 3.78 million 1000 SLC in Bangladesh, a difference of 1.22 million 1000 SLC.
That makes Serbia and Montenegro's figure about 1.3 times Bangladesh's.
The two have swapped places 1 time across 12 shared years of data; in 1994 it was Bangladesh ahead.
Bangladesh ranks 37th and Serbia and Montenegro ranks 35th of 98 countries.
Across the 2 decades both report, Bangladesh averaged higher in 1 and Serbia and Montenegro in 1.
Head to head by decade
| Decade | Bangladesh | Serbia and Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.42 million 1000 SLC | 274,628 1000 SLC | 1.14 million 1000 SLC | Bangladesh |
| 2000s | 986,954 1000 SLC | 2.81 million 1000 SLC | 1.82 million 1000 SLC | Serbia and Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Bangladesh or Serbia and Montenegro?
- Serbia and Montenegro, at 5.00 million 1000 SLC against 3.78 million 1000 SLC in Bangladesh as of 2005.
- What is the difference in beans, dry — gross production value between Bangladesh and Serbia and Montenegro?
- 1.22 million 1000 SLC, with Serbia and Montenegro ahead.
- How many years of comparable data are there for Bangladesh and Serbia and Montenegro?
- 12 years are reported by both, from 1994 to 2005.
- How do Bangladesh and Serbia and Montenegro rank globally for beans, dry — gross production value?
- Bangladesh ranks 37th and Serbia and Montenegro ranks 35th of 98 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Beans, dry — 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.