Romania vs Serbia and Montenegro: Soya beans — Gross Production Value
Soya beans — Gross Production Value over time
- Romania
- Serbia and Montenegro
How they compare
Romania currently reports 150,498 1000 Int$ against 140,756 1000 Int$ in Serbia and Montenegro, a difference of 9,742 1000 Int$.
That makes Romania's figure about 1.1 times Serbia and Montenegro's.
The two have swapped places 3 times across 13 shared years of data; in 1993 it was Romania ahead.
Romania ranks 17th and Serbia and Montenegro ranks 18th of 96 countries.
Serbia and Montenegro has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Romania | Serbia and Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 50,363 1000 Int$ | 56,119 1000 Int$ | 5,756 1000 Int$ | Serbia and Montenegro |
| 2000s | 71,667 1000 Int$ | 97,768 1000 Int$ | 26,101 1000 Int$ | Serbia and Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Romania or Serbia and Montenegro?
- Romania, at 150,498 1000 Int$ against 140,756 1000 Int$ in Serbia and Montenegro as of 2017.
- What is the difference in soya beans — gross production value between Romania and Serbia and Montenegro?
- 9,742 1000 Int$, with Romania ahead.
- How many years of comparable data are there for Romania and Serbia and Montenegro?
- 13 years are reported by both, from 1993 to 2005.
- How do Romania and Serbia and Montenegro rank globally for soya beans — gross production value?
- Romania ranks 17th and Serbia and Montenegro ranks 18th of 96 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — Gross Production Value (constant 2014-2016 thousand I$). 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.