Rwanda vs Serbia: Soya beans — Gross Production Value
Rwanda
37.97 million 1000 SLC
in 2024
Serbia
19.07 million 1000 SLC
in 2024
Rwanda rank
19th
Serbia rank
22nd
Soya beans — Gross Production Value over time
- Rwanda
- Serbia
How they compare
Rwanda currently reports 37.97 million 1000 SLC against 19.07 million 1000 SLC in Serbia, a difference of 18.89 million 1000 SLC.
That makes Rwanda's figure about 2.0 times Serbia's.
The two have swapped places 5 times across 19 shared years of data; in 2006 it was Serbia ahead.
Rwanda ranks 19th and Serbia ranks 22nd of 75 countries.
Across the 3 decades both report, Rwanda averaged higher in 1 and Serbia in 2.
Head to head by decade
| Decade | Rwanda | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 13.91 million 1000 SLC | 7.85 million 1000 SLC | 6.06 million 1000 SLC | Rwanda |
| 2010s | 11.66 million 1000 SLC | 19.15 million 1000 SLC | 7.49 million 1000 SLC | Serbia |
| 2020s | 25.68 million 1000 SLC | 29.08 million 1000 SLC | 3.40 million 1000 SLC | Serbia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Rwanda or Serbia?
- Rwanda, at 37.97 million 1000 SLC against 19.07 million 1000 SLC in Serbia as of 2024.
- What is the difference in soya beans — gross production value between Rwanda and Serbia?
- 18.89 million 1000 SLC, with Rwanda ahead.
- How many years of comparable data are there for Rwanda and Serbia?
- 19 years are reported by both, from 2006 to 2024.
- How do Rwanda and Serbia rank globally for soya beans — gross production value?
- Rwanda ranks 19th and Serbia ranks 22nd of 75 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — 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.