China, Taiwan Province of vs Cuba: Watermelons — Gross Production Index Number
Watermelons — Gross Production Index Number over time
- China, Taiwan Province of
- Cuba
How they compare
Cuba currently reports 66.47 against 62.14 in China, Taiwan Province of, a difference of 4.33.
That makes Cuba's figure about 1.1 times China, Taiwan Province of's.
The two have swapped places 7 times across 35 shared years of data; in 1990 it was China, Taiwan Province of ahead.
China, Taiwan Province of ranks 99th and Cuba ranks 98th of 109 countries.
China, Taiwan Province of has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | China, Taiwan Province of | Cuba | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 153.76 | 34.94 | 118.82 | China, Taiwan Province of |
| 2000s | 136.23 | 94.04 | 42.19 | China, Taiwan Province of |
| 2010s | 103.14 | 91.15 | 12 | China, Taiwan Province of |
| 2020s | 67.77 | 62.79 | 4.97 | China, Taiwan Province of |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, China, Taiwan Province of or Cuba?
- Cuba, at 66.47 against 62.14 in China, Taiwan Province of as of 2024.
- What is the difference in watermelons — gross production index number between China, Taiwan Province of and Cuba?
- 4.33, with Cuba ahead.
- How many years of comparable data are there for China, Taiwan Province of and Cuba?
- 35 years are reported by both, from 1990 to 2024.
- How do China, Taiwan Province of and Cuba rank globally for watermelons — gross production index number?
- China, Taiwan Province of ranks 99th and Cuba ranks 98th of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — 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.