Mongolia vs Thailand: Cereals n.e.c. β Gross Production Value
Mongolia
613,369 1000 SLC
in 2024
Thailand
821,086 1000 SLC
in 2024
Mongolia rank
13th
Thailand rank
12th
Cereals n.e.c. β Gross Production Value over time
- Mongolia
- Thailand
How they compare
Thailand currently reports 821,086 1000 SLC against 613,369 1000 SLC in Mongolia, a difference of 207,717 1000 SLC.
That makes Thailand's figure about 1.3 times Mongolia's.
The two have swapped places 4 times across 19 shared years of data; in 2006 it was Thailand ahead.
Mongolia ranks 13th and Thailand ranks 12th of 42 countries.
Across the 3 decades both report, Mongolia averaged higher in 2 and Thailand in 1.
Head to head by decade
| Decade | Mongolia | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 105,992 1000 SLC | 460,511 1000 SLC | 354,518 1000 SLC | Thailand |
| 2010s | 1.56 million 1000 SLC | 692,557 1000 SLC | 868,598 1000 SLC | Mongolia |
| 2020s | 1.29 million 1000 SLC | 809,197 1000 SLC | 476,940 1000 SLC | Mongolia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals n.e.c. β gross production value, Mongolia or Thailand?
- Thailand, at 821,086 1000 SLC against 613,369 1000 SLC in Mongolia as of 2024.
- What is the difference in cereals n.e.c. β gross production value between Mongolia and Thailand?
- 207,717 1000 SLC, with Thailand ahead.
- How many years of comparable data are there for Mongolia and Thailand?
- 19 years are reported by both, from 2006 to 2024.
- How do Mongolia and Thailand rank globally for cereals n.e.c. β gross production value?
- Mongolia ranks 13th and Thailand ranks 12th of 42 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals n.e.c. β 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.