Eritrea vs Mongolia: Cereals n.e.c. — Gross Production Value
Eritrea
829,608 1000 SLC
in 2024
Mongolia
578,671 1000 SLC
in 2024
Eritrea rank
11th
Mongolia rank
13th
Cereals n.e.c. — Gross Production Value over time
- Eritrea
- Mongolia
How they compare
Eritrea currently reports 829,608 1000 SLC against 578,671 1000 SLC in Mongolia, a difference of 250,937 1000 SLC.
That makes Eritrea's figure about 1.4 times Mongolia's.
The two have swapped places 7 times across 32 shared years of data; in 1993 it was Mongolia ahead.
Eritrea ranks 11th and Mongolia ranks 13th of 43 countries.
Mongolia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Eritrea | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 255,550 1000 SLC | 593,317 1000 SLC | 337,767 1000 SLC | Mongolia |
| 2000s | 440,270 1000 SLC | 450,841 1000 SLC | 10,571 1000 SLC | Mongolia |
| 2010s | 780,364 1000 SLC | 1.66 million 1000 SLC | 881,226 1000 SLC | Mongolia |
| 2020s | 830,283 1000 SLC | 1.25 million 1000 SLC | 423,920 1000 SLC | Mongolia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals n.e.c. — gross production value, Eritrea or Mongolia?
- Eritrea, at 829,608 1000 SLC against 578,671 1000 SLC in Mongolia as of 2024.
- What is the difference in cereals n.e.c. — gross production value between Eritrea and Mongolia?
- 250,937 1000 SLC, with Eritrea ahead.
- How many years of comparable data are there for Eritrea and Mongolia?
- 32 years are reported by both, from 1993 to 2024.
- How do Eritrea and Mongolia rank globally for cereals n.e.c. — gross production value?
- Eritrea ranks 11th and Mongolia ranks 13th of 43 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals n.e.c. — 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.