China vs Hungary: Triticale — Gross Production Value
China
71,686 1000 Int$
in 2024
Hungary
72,538 1000 Int$
in 2017
China rank
6th
Hungary rank
5th
Triticale — Gross Production Value over time
- China
- Hungary
How they compare
Hungary currently reports 72,538 1000 Int$ against 71,686 1000 Int$ in China, a difference of 852 1000 Int$.
The two have swapped places 10 times across 41 shared years of data; in 1977 it was China ahead.
China ranks 6th and Hungary ranks 5th of 45 countries.
Across the 5 decades both report, China averaged higher in 4 and Hungary in 1.
Head to head by decade
| Decade | China | Hungary | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 9,591 1000 Int$ | 689.67 1000 Int$ | 8,901 1000 Int$ | China |
| 1980s | 3,119 1000 Int$ | 136.6 1000 Int$ | 2,982 1000 Int$ | China |
| 1990s | 20,267 1000 Int$ | 34,404 1000 Int$ | 14,138 1000 Int$ | Hungary |
| 2000s | 120,132 1000 Int$ | 80,369 1000 Int$ | 39,764 1000 Int$ | China |
| 2010s | 82,782 1000 Int$ | 81,493 1000 Int$ | 1,289 1000 Int$ | China |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher triticale — gross production value, China or Hungary?
- Hungary, at 72,538 1000 Int$ against 71,686 1000 Int$ in China as of 2017.
- What is the difference in triticale — gross production value between China and Hungary?
- 852 1000 Int$, with Hungary ahead.
- How many years of comparable data are there for China and Hungary?
- 41 years are reported by both, from 1977 to 2017.
- How do China and Hungary rank globally for triticale — gross production value?
- China ranks 6th and Hungary ranks 5th of 45 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Triticale — Gross Production Value (constant 2014-2016 thousand I$). 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.