Hungary vs Thailand: Cereals n.e.c. — Gross Production Value
Hungary
1.01 million 1000 SLC
in 2017
Thailand
821,086 1000 SLC
in 2024
Hungary rank
11th
Thailand rank
12th
Cereals n.e.c. — Gross Production Value over time
- Hungary
- Thailand
How they compare
Hungary currently reports 1.01 million 1000 SLC against 821,086 1000 SLC in Thailand, a difference of 184,344 1000 SLC.
That makes Hungary's figure about 1.2 times Thailand's.
The two have swapped places 5 times across 20 shared years of data; in 1991 it was Thailand ahead.
Hungary ranks 11th and Thailand ranks 12th of 42 countries.
Across the 3 decades both report, Hungary averaged higher in 1 and Thailand in 2.
Head to head by decade
| Decade | Hungary | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 55,374 1000 SLC | 45,508 1000 SLC | 9,866 1000 SLC | Hungary |
| 2000s | 82,695 1000 SLC | 335,366 1000 SLC | 252,671 1000 SLC | Thailand |
| 2010s | 445,325 1000 SLC | 677,122 1000 SLC | 231,797 1000 SLC | Thailand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals n.e.c. — gross production value, Hungary or Thailand?
- Hungary, at 1.01 million 1000 SLC against 821,086 1000 SLC in Thailand as of 2017.
- What is the difference in cereals n.e.c. — gross production value between Hungary and Thailand?
- 184,344 1000 SLC, with Hungary ahead.
- How many years of comparable data are there for Hungary and Thailand?
- 20 years are reported by both, from 1991 to 2017.
- How do Hungary and Thailand rank globally for cereals n.e.c. — gross production value?
- Hungary ranks 11th 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. — 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.