Argentina vs Serbia and Montenegro: Beans, dry — Gross Production Value
Beans, dry — Gross Production Value over time
- Argentina
- Serbia and Montenegro
How they compare
Argentina currently reports 5.47 million 1000 SLC against 5.00 million 1000 SLC in Serbia and Montenegro, a difference of 475,270 1000 SLC.
That makes Argentina's figure about 1.1 times Serbia and Montenegro's.
The two have swapped places 1 time across 12 shared years of data; in 1994 it was Argentina ahead.
Argentina ranks 34th and Serbia and Montenegro ranks 35th of 98 countries.
Serbia and Montenegro has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Argentina | Serbia and Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 178,436 1000 SLC | 274,628 1000 SLC | 96,193 1000 SLC | Serbia and Montenegro |
| 2000s | 287,468 1000 SLC | 2.81 million 1000 SLC | 2.52 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, Argentina or Serbia and Montenegro?
- Argentina, at 5.47 million 1000 SLC against 5.00 million 1000 SLC in Serbia and Montenegro as of 2024.
- What is the difference in beans, dry — gross production value between Argentina and Serbia and Montenegro?
- 475,270 1000 SLC, with Argentina ahead.
- How many years of comparable data are there for Argentina and Serbia and Montenegro?
- 12 years are reported by both, from 1994 to 2005.
- How do Argentina and Serbia and Montenegro rank globally for beans, dry — gross production value?
- Argentina ranks 34th 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.