Chad vs Hungary: Cereals, primary — Gross Production Value
Chad
841.51 million 1000 SLC
in 2024
Hungary
869.54 million 1000 SLC
in 2024
Chad rank
27th
Hungary rank
24th
Cereals, primary — Gross Production Value over time
- Chad
- Hungary
How they compare
Hungary currently reports 869.54 million 1000 SLC against 841.51 million 1000 SLC in Chad, a difference of 28.03 million 1000 SLC.
The two have swapped places 4 times across 18 shared years of data; in 2007 it was Hungary ahead.
Chad ranks 27th and Hungary ranks 24th of 152 countries.
Hungary has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Chad | Hungary | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 377.07 million 1000 SLC | 463.71 million 1000 SLC | 86.63 million 1000 SLC | Hungary |
| 2010s | 602.99 million 1000 SLC | 644.91 million 1000 SLC | 41.91 million 1000 SLC | Hungary |
| 2020s | 704.39 million 1000 SLC | 963.64 million 1000 SLC | 259.25 million 1000 SLC | Hungary |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cereals, primary — gross production value, Chad or Hungary?
- Hungary, at 869.54 million 1000 SLC against 841.51 million 1000 SLC in Chad as of 2024.
- What is the difference in cereals, primary — gross production value between Chad and Hungary?
- 28.03 million 1000 SLC, with Hungary ahead.
- How many years of comparable data are there for Chad and Hungary?
- 18 years are reported by both, from 2007 to 2024.
- How do Chad and Hungary rank globally for cereals, primary — gross production value?
- Chad ranks 27th and Hungary ranks 24th of 152 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cereals, primary — 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.