Armenia vs Bangladesh: Beans, dry — Gross Production Value
Beans, dry — Gross Production Value over time
- Armenia
- Bangladesh
How they compare
Bangladesh currently reports 3.78 million 1000 SLC against 2.40 million 1000 SLC in Armenia, a difference of 1.38 million 1000 SLC.
That makes Bangladesh's figure about 1.6 times Armenia's.
The two have swapped places 4 times across 28 shared years of data; in 1997 it was Bangladesh ahead.
Armenia ranks 40th and Bangladesh ranks 37th of 98 countries.
Across the 4 decades both report, Armenia averaged higher in 2 and Bangladesh in 2.
Head to head by decade
| Decade | Armenia | Bangladesh | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 948,435 1000 SLC | 1.32 million 1000 SLC | 375,919 1000 SLC | Bangladesh |
| 2000s | 2.22 million 1000 SLC | 1.01 million 1000 SLC | 1.21 million 1000 SLC | Armenia |
| 2010s | 4.65 million 1000 SLC | 2.23 million 1000 SLC | 2.41 million 1000 SLC | Armenia |
| 2020s | 3.01 million 1000 SLC | 3.57 million 1000 SLC | 567,522 1000 SLC | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Armenia or Bangladesh?
- Bangladesh, at 3.78 million 1000 SLC against 2.40 million 1000 SLC in Armenia as of 2024.
- What is the difference in beans, dry — gross production value between Armenia and Bangladesh?
- 1.38 million 1000 SLC, with Bangladesh ahead.
- How many years of comparable data are there for Armenia and Bangladesh?
- 28 years are reported by both, from 1997 to 2024.
- How do Armenia and Bangladesh rank globally for beans, dry — gross production value?
- Armenia ranks 40th and Bangladesh ranks 37th 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.