Mongolia vs Niger: Cereals n.e.c. — Gross Production Value
Mongolia
578,671 1000 SLC
in 2024
Niger
233,587 1000 SLC
in 2024
Mongolia rank
13th
Niger rank
14th
Cereals n.e.c. — Gross Production Value over time
- Mongolia
- Niger
How they compare
Mongolia currently reports 578,671 1000 SLC against 233,587 1000 SLC in Niger, a difference of 345,084 1000 SLC.
That makes Mongolia's figure about 2.5 times Niger's.
The two have swapped places 2 times across 33 shared years of data; in 1990 it was Mongolia ahead.
Mongolia ranks 13th and Niger ranks 14th of 43 countries.
Mongolia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Mongolia | Niger | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 704,985 1000 SLC | 291,609 1000 SLC | 413,376 1000 SLC | Mongolia |
| 2000s | 450,841 1000 SLC | 243,020 1000 SLC | 207,820 1000 SLC | Mongolia |
| 2010s | 1.66 million 1000 SLC | 211,980 1000 SLC | 1.45 million 1000 SLC | Mongolia |
| 2020s | 1.25 million 1000 SLC | 230,493 1000 SLC | 1.02 million 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, Mongolia or Niger?
- Mongolia, at 578,671 1000 SLC against 233,587 1000 SLC in Niger as of 2024.
- What is the difference in cereals n.e.c. — gross production value between Mongolia and Niger?
- 345,084 1000 SLC, with Mongolia ahead.
- How many years of comparable data are there for Mongolia and Niger?
- 33 years are reported by both, from 1990 to 2024.
- How do Mongolia and Niger rank globally for cereals n.e.c. — gross production value?
- Mongolia ranks 13th and Niger ranks 14th 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.