Ecuador vs Thailand: Watermelons — Gross Production Index Number
Ecuador
103.43
in 2024
Thailand
104.24
in 2024
Ecuador rank
58th
Thailand rank
56th
Watermelons — Gross Production Index Number over time
- Ecuador
- Thailand
How they compare
Thailand currently reports 104.24 against 103.43 in Ecuador, a difference of 0.81.
The two have swapped places 4 times across 64 shared years of data; in 1961 it was Thailand ahead.
Ecuador ranks 58th and Thailand ranks 56th of 109 countries.
Across the 7 decades both report, Ecuador averaged higher in 1 and Thailand in 6.
Head to head by decade
| Decade | Ecuador | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 13.43 | 169.41 | 155.98 | Thailand |
| 1970s | 18.56 | 303.47 | 284.91 | Thailand |
| 1980s | 52.91 | 310.34 | 257.43 | Thailand |
| 1990s | 49.65 | 238.54 | 188.9 | Thailand |
| 2000s | 56.64 | 350.91 | 294.27 | Thailand |
| 2010s | 96.7 | 140.4 | 43.7 | Thailand |
| 2020s | 103.54 | 101.51 | 2.03 | Ecuador |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Ecuador or Thailand?
- Thailand, at 104.24 against 103.43 in Ecuador as of 2024.
- What is the difference in watermelons — gross production index number between Ecuador and Thailand?
- 0.81, with Thailand ahead.
- How many years of comparable data are there for Ecuador and Thailand?
- 64 years are reported by both, from 1961 to 2024.
- How do Ecuador and Thailand rank globally for watermelons — gross production index number?
- Ecuador ranks 58th and Thailand ranks 56th 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.