Hungary vs Kazakhstan: Almonds, in shell — Gross Production Value
Hungary
63,737 1000 SLC
in 2017
Kazakhstan
48,767 1000 SLC
in 2024
Hungary rank
19th
Kazakhstan rank
20th
Almonds, in shell — Gross Production Value over time
- Hungary
- Kazakhstan
How they compare
Hungary currently reports 63,737 1000 SLC against 48,767 1000 SLC in Kazakhstan, a difference of 14,970 1000 SLC.
That makes Hungary's figure about 1.3 times Kazakhstan's.
The two have swapped places 6 times across 23 shared years of data; in 1995 it was Hungary ahead.
Hungary ranks 19th and Kazakhstan ranks 20th of 35 countries.
Hungary has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Hungary | Kazakhstan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 46,815 1000 SLC | 15,796 1000 SLC | 31,019 1000 SLC | Hungary |
| 2000s | 61,970 1000 SLC | 28,388 1000 SLC | 33,582 1000 SLC | Hungary |
| 2010s | 48,130 1000 SLC | 29,840 1000 SLC | 18,290 1000 SLC | Hungary |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher almonds, in shell — gross production value, Hungary or Kazakhstan?
- Hungary, at 63,737 1000 SLC against 48,767 1000 SLC in Kazakhstan as of 2017.
- What is the difference in almonds, in shell — gross production value between Hungary and Kazakhstan?
- 14,970 1000 SLC, with Hungary ahead.
- How many years of comparable data are there for Hungary and Kazakhstan?
- 23 years are reported by both, from 1995 to 2017.
- How do Hungary and Kazakhstan rank globally for almonds, in shell — gross production value?
- Hungary ranks 19th and Kazakhstan ranks 20th of 35 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Almonds, in shell — 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.