Kazakhstan vs Rwanda: Soya beans — Gross Production Value
Soya beans — Gross Production Value over time
- Kazakhstan
- Rwanda
How they compare
Rwanda currently reports 17.23 million 1000 SLC against 14.77 million 1000 SLC in Kazakhstan, a difference of 2.45 million 1000 SLC.
That makes Rwanda's figure about 1.2 times Kazakhstan's.
The two have swapped places 2 times across 31 shared years of data; in 1994 it was Rwanda ahead.
Kazakhstan ranks 21st and Rwanda ranks 20th of 73 countries.
Across the 4 decades both report, Kazakhstan averaged higher in 2 and Rwanda in 2.
Head to head by decade
| Decade | Kazakhstan | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 275,581 1000 SLC | 3.45 million 1000 SLC | 3.17 million 1000 SLC | Rwanda |
| 2000s | 3.76 million 1000 SLC | 13.19 million 1000 SLC | 9.43 million 1000 SLC | Rwanda |
| 2010s | 14.81 million 1000 SLC | 12.71 million 1000 SLC | 2.10 million 1000 SLC | Kazakhstan |
| 2020s | 16.52 million 1000 SLC | 14.17 million 1000 SLC | 2.35 million 1000 SLC | Kazakhstan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Kazakhstan or Rwanda?
- Rwanda, at 17.23 million 1000 SLC against 14.77 million 1000 SLC in Kazakhstan as of 2024.
- What is the difference in soya beans — gross production value between Kazakhstan and Rwanda?
- 2.45 million 1000 SLC, with Rwanda ahead.
- How many years of comparable data are there for Kazakhstan and Rwanda?
- 31 years are reported by both, from 1994 to 2024.
- How do Kazakhstan and Rwanda rank globally for soya beans — gross production value?
- Kazakhstan ranks 21st and Rwanda ranks 20th of 73 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 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.