China, mainland vs South America: Triticale — Gross Production Index Number
China, mainland
98.2
in 2024
South America
63.01
in 2024
China, mainland rank
13th
South America rank
16th
Triticale — Gross Production Index Number over time
- China, mainland
- South America
How they compare
China, mainland currently reports 98.2 against 63.01 in South America, a difference of 35.19.
That makes China, mainland's figure about 1.6 times South America's.
The two have swapped places 8 times across 21 shared years of data; in 2004 it was China, mainland ahead.
China, mainland ranks 13th and South America ranks 16th of 41 countries.
China, mainland has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | China, mainland | South America | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 139.17 | 133.97 | 5.2 | China, mainland |
| 2010s | 110.48 | 106.42 | 4.06 | China, mainland |
| 2020s | 97.95 | 70.61 | 27.33 | China, mainland |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher triticale — gross production index number, China, mainland or South America?
- China, mainland, at 98.2 against 63.01 in South America as of 2024.
- What is the difference in triticale — gross production index number between China, mainland and South America?
- 35.19, with China, mainland ahead.
- How many years of comparable data are there for China, mainland and South America?
- 21 years are reported by both, from 2004 to 2024.
- How do China, mainland and South America rank globally for triticale — gross production index number?
- China, mainland ranks 13th and South America ranks 16th of 41 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Triticale — Gross Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.