Argentina vs Bangladesh: Beans, dry — Gross Production Value
Beans, dry — Gross Production Value over time
- Argentina
- Bangladesh
How they compare
Argentina currently reports 5.47 million 1000 SLC against 3.78 million 1000 SLC in Bangladesh, a difference of 1.69 million 1000 SLC.
That makes Argentina's figure about 1.4 times Bangladesh's.
The two have swapped places 3 times across 34 shared years of data; in 1991 it was Bangladesh ahead.
Argentina ranks 34th and Bangladesh ranks 37th of 98 countries.
Across the 4 decades both report, Argentina averaged higher in 1 and Bangladesh in 3.
Head to head by decade
| Decade | Argentina | Bangladesh | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 145,131 1000 SLC | 1.35 million 1000 SLC | 1.21 million 1000 SLC | Bangladesh |
| 2000s | 489,922 1000 SLC | 1.01 million 1000 SLC | 524,836 1000 SLC | Bangladesh |
| 2010s | 2.16 million 1000 SLC | 2.23 million 1000 SLC | 73,494 1000 SLC | Bangladesh |
| 2020s | 6.47 million 1000 SLC | 3.57 million 1000 SLC | 2.90 million 1000 SLC | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Argentina or Bangladesh?
- Argentina, at 5.47 million 1000 SLC against 3.78 million 1000 SLC in Bangladesh as of 2024.
- What is the difference in beans, dry — gross production value between Argentina and Bangladesh?
- 1.69 million 1000 SLC, with Argentina ahead.
- How many years of comparable data are there for Argentina and Bangladesh?
- 34 years are reported by both, from 1991 to 2024.
- How do Argentina and Bangladesh rank globally for beans, dry — gross production value?
- Argentina ranks 34th 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.