Hungary vs Russian Federation: Cereals n.e.c. — Gross Production Value
Cereals n.e.c. — Gross Production Value over time
- Hungary
- Russian Federation
How they compare
Hungary currently reports 1.01 million 1000 SLC against 571,463 1000 SLC in Russian Federation, a difference of 433,967 1000 SLC.
That makes Hungary's figure about 1.8 times Russian Federation's.
The two have swapped places 4 times across 19 shared years of data; in 1992 it was Hungary ahead.
Hungary ranks 11th and Russian Federation ranks 14th of 42 countries.
Hungary has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Hungary | Russian Federation | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 62,454 1000 SLC | 4,733 1000 SLC | 57,721 1000 SLC | Hungary |
| 2000s | 82,695 1000 SLC | 73,678 1000 SLC | 9,017 1000 SLC | Hungary |
| 2010s | 445,325 1000 SLC | 105,380 1000 SLC | 339,945 1000 SLC | Hungary |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals n.e.c. — gross production value, Hungary or Russian Federation?
- Hungary, at 1.01 million 1000 SLC against 571,463 1000 SLC in Russian Federation as of 2017.
- What is the difference in cereals n.e.c. — gross production value between Hungary and Russian Federation?
- 433,967 1000 SLC, with Hungary ahead.
- How many years of comparable data are there for Hungary and Russian Federation?
- 19 years are reported by both, from 1992 to 2017.
- How do Hungary and Russian Federation rank globally for cereals n.e.c. — gross production value?
- Hungary ranks 11th and Russian Federation ranks 14th of 42 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals 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.