European Union (27) vs Fiji: Watermelons — Gross Production Index Number
European Union (27)
110.47
in 2024
Fiji
200.4
in 2024
European Union (27) rank
14th
Fiji rank
12th
Watermelons — Gross Production Index Number over time
- European Union (27)
- Fiji
How they compare
Fiji currently reports 200.4 against 110.47 in European Union (27), a difference of 89.93.
That makes Fiji's figure about 1.8 times European Union (27)'s.
The two have swapped places 3 times across 32 shared years of data; in 1993 it was European Union (27) ahead.
European Union (27) ranks 14th and Fiji ranks 12th of 27 groups.
Across the 4 decades both report, European Union (27) averaged higher in 3 and Fiji in 1.
Head to head by decade
| Decade | European Union (27) | Fiji | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 96.22 | 30.59 | 65.63 | European Union (27) |
| 2000s | 106.62 | 44.25 | 62.37 | European Union (27) |
| 2010s | 104.57 | 90.38 | 14.19 | European Union (27) |
| 2020s | 107.02 | 167.59 | 60.57 | Fiji |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, European Union (27) or Fiji?
- Fiji, at 200.4 against 110.47 in European Union (27) as of 2024.
- What is the difference in watermelons — gross production index number between European Union (27) and Fiji?
- 89.93, with Fiji ahead.
- How many years of comparable data are there for European Union (27) and Fiji?
- 32 years are reported by both, from 1993 to 2024.
- How do European Union (27) and Fiji rank globally for watermelons — gross production index number?
- European Union (27) ranks 14th and Fiji ranks 12th of 27 groups.
- 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.