Hungary vs Kazakhstan: Soya beans — Gross Production Value
Soya beans — Gross Production Value over time
- Hungary
- Kazakhstan
How they compare
Hungary currently reports 18.84 million 1000 SLC against 14.77 million 1000 SLC in Kazakhstan, a difference of 4.06 million 1000 SLC.
That makes Hungary's figure about 1.3 times Kazakhstan's.
The two have swapped places 4 times across 24 shared years of data; in 1994 it was Hungary ahead.
Hungary ranks 19th and Kazakhstan ranks 21st of 73 countries.
Across the 3 decades both report, Hungary averaged higher in 2 and Kazakhstan in 1.
Head to head by decade
| Decade | Hungary | Kazakhstan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 3.88 million 1000 SLC | 275,581 1000 SLC | 3.60 million 1000 SLC | Hungary |
| 2000s | 6.41 million 1000 SLC | 3.76 million 1000 SLC | 2.65 million 1000 SLC | Hungary |
| 2010s | 12.51 million 1000 SLC | 13.72 million 1000 SLC | 1.21 million 1000 SLC | Kazakhstan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross production value, Hungary or Kazakhstan?
- Hungary, at 18.84 million 1000 SLC against 14.77 million 1000 SLC in Kazakhstan as of 2017.
- What is the difference in soya beans — gross production value between Hungary and Kazakhstan?
- 4.06 million 1000 SLC, with Hungary ahead.
- How many years of comparable data are there for Hungary and Kazakhstan?
- 24 years are reported by both, from 1994 to 2017.
- How do Hungary and Kazakhstan rank globally for soya beans — gross production value?
- Hungary ranks 19th and Kazakhstan ranks 21st 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.