Indonesia vs Serbia and Montenegro: Beans, dry — Gross Production Value
Indonesia
66,131 1000 USD
in 2024
Serbia and Montenegro
68,966 1000 USD
in 2005
Indonesia rank
33rd
Serbia and Montenegro rank
31st
Beans, dry — Gross Production Value over time
- Indonesia
- Serbia and Montenegro
How they compare
Serbia and Montenegro currently reports 68,966 1000 USD against 66,131 1000 USD in Indonesia, a difference of 2,835 1000 USD.
The two have swapped places 5 times across 12 shared years of data; in 1994 it was Indonesia ahead.
Indonesia ranks 33rd and Serbia and Montenegro ranks 31st of 98 countries.
Across the 2 decades both report, Indonesia averaged higher in 1 and Serbia and Montenegro in 1.
Head to head by decade
| Decade | Indonesia | Serbia and Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 70,652 1000 USD | 40,664 1000 USD | 29,988 1000 USD | Indonesia |
| 2000s | 43,478 1000 USD | 44,820 1000 USD | 1,342 1000 USD | Serbia and Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Indonesia or Serbia and Montenegro?
- Serbia and Montenegro, at 68,966 1000 USD against 66,131 1000 USD in Indonesia as of 2005.
- What is the difference in beans, dry — gross production value between Indonesia and Serbia and Montenegro?
- 2,835 1000 USD, with Serbia and Montenegro ahead.
- How many years of comparable data are there for Indonesia and Serbia and Montenegro?
- 12 years are reported by both, from 1994 to 2005.
- How do Indonesia and Serbia and Montenegro rank globally for beans, dry — gross production value?
- Indonesia ranks 33rd and Serbia and Montenegro ranks 31st 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 US$). 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.