Eritrea vs Hungary: Cereals n.e.c. — Gross Production Value
Eritrea
1.50 million 1000 SLC
in 2024
Hungary
1.01 million 1000 SLC
in 2017
Eritrea rank
8th
Hungary rank
11th
Cereals n.e.c. — Gross Production Value over time
- Eritrea
- Hungary
How they compare
Eritrea currently reports 1.50 million 1000 SLC against 1.01 million 1000 SLC in Hungary, a difference of 496,270 1000 SLC.
That makes Eritrea's figure about 1.5 times Hungary's.
The two have swapped places 5 times across 18 shared years of data; in 1993 it was Hungary ahead.
Eritrea ranks 8th and Hungary ranks 11th of 42 countries.
Across the 3 decades both report, Eritrea averaged higher in 2 and Hungary in 1.
Head to head by decade
| Decade | Eritrea | Hungary | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 19,502 1000 SLC | 65,269 1000 SLC | 45,767 1000 SLC | Hungary |
| 2000s | 196,757 1000 SLC | 82,695 1000 SLC | 114,062 1000 SLC | Eritrea |
| 2010s | 685,742 1000 SLC | 445,325 1000 SLC | 240,417 1000 SLC | Eritrea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals n.e.c. — gross production value, Eritrea or Hungary?
- Eritrea, at 1.50 million 1000 SLC against 1.01 million 1000 SLC in Hungary as of 2024.
- What is the difference in cereals n.e.c. — gross production value between Eritrea and Hungary?
- 496,270 1000 SLC, with Eritrea ahead.
- How many years of comparable data are there for Eritrea and Hungary?
- 18 years are reported by both, from 1993 to 2017.
- How do Eritrea and Hungary rank globally for cereals n.e.c. — gross production value?
- Eritrea ranks 8th and Hungary ranks 11th 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.