China vs Thailand: Watermelons — Gross per capita Production Index Number
China
100.47
in 2024
Thailand
102.6
in 2024
China rank
56th
Thailand rank
53rd
Watermelons — Gross per capita Production Index Number over time
- China
- Thailand
How they compare
Thailand currently reports 102.6 against 100.47 in China, a difference of 2.13.
The two have swapped places 4 times across 64 shared years of data; in 1961 it was Thailand ahead.
China ranks 56th and Thailand ranks 53rd of 109 countries.
Thailand has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | China | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 18.21 | 369.52 | 351.31 | Thailand |
| 1970s | 12.77 | 528.09 | 515.32 | Thailand |
| 1980s | 20.79 | 447.23 | 426.44 | Thailand |
| 1990s | 42.32 | 287.52 | 245.2 | Thailand |
| 2000s | 99.47 | 375.49 | 276.03 | Thailand |
| 2010s | 99.22 | 141.85 | 42.63 | Thailand |
| 2020s | 99.12 | 99.87 | 0.752 | Thailand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, China or Thailand?
- Thailand, at 102.6 against 100.47 in China as of 2024.
- What is the difference in watermelons — gross per capita production index number between China and Thailand?
- 2.13, with Thailand ahead.
- How many years of comparable data are there for China and Thailand?
- 64 years are reported by both, from 1961 to 2024.
- How do China and Thailand rank globally for watermelons — gross per capita production index number?
- China ranks 56th and Thailand ranks 53rd of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross per capita 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.