Hungary vs Zimbabwe: Other oil seeds, n.e.c. — Gross Production Value
Hungary
1.64 million 1000 SLC
in 2017
Zimbabwe
3.66 million 1000 SLC
in 2007
Hungary rank
9th
Zimbabwe rank
7th
Other oil seeds, n.e.c. — Gross Production Value over time
- Hungary
- Zimbabwe
How they compare
Zimbabwe currently reports 3.66 million 1000 SLC against 1.64 million 1000 SLC in Hungary, a difference of 2.02 million 1000 SLC.
That makes Zimbabwe's figure about 2.2 times Hungary's.
The two have swapped places 1 time across 17 shared years of data; in 1991 it was Hungary ahead.
Hungary ranks 9th and Zimbabwe ranks 7th of 29 countries.
Hungary has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Hungary | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 769,039 1000 SLC | 129.44 1000 SLC | 768,910 1000 SLC | Hungary |
| 2000s | 917,152 1000 SLC | 682,103 1000 SLC | 235,049 1000 SLC | Hungary |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher other oil seeds, n.e.c. — gross production value, Hungary or Zimbabwe?
- Zimbabwe, at 3.66 million 1000 SLC against 1.64 million 1000 SLC in Hungary as of 2007.
- What is the difference in other oil seeds, n.e.c. — gross production value between Hungary and Zimbabwe?
- 2.02 million 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Hungary and Zimbabwe?
- 17 years are reported by both, from 1991 to 2007.
- How do Hungary and Zimbabwe rank globally for other oil seeds, n.e.c. — gross production value?
- Hungary ranks 9th and Zimbabwe ranks 7th of 29 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Other oil seeds, n.e.c. — 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.