European Union (27) vs Montenegro: Watermelons — Gross per capita Production Index Number
Watermelons — Gross per capita Production Index Number over time
- European Union (27)
- Montenegro
How they compare
Montenegro currently reports 194.21 against 108.92 in European Union (27), a difference of 85.29.
That makes Montenegro's figure about 1.8 times European Union (27)'s.
The two have swapped places 4 times across 19 shared years of data; in 2006 it was Montenegro ahead.
European Union (27) ranks 10th and Montenegro ranks 11th of 27 groups.
Across the 3 decades both report, European Union (27) averaged higher in 2 and Montenegro in 1.
Head to head by decade
| Decade | European Union (27) | Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 103.56 | 94.57 | 8.99 | European Union (27) |
| 2010s | 104.59 | 85.06 | 19.53 | European Union (27) |
| 2020s | 105.8 | 117.28 | 11.48 | Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, European Union (27) or Montenegro?
- Montenegro, at 194.21 against 108.92 in European Union (27) as of 2024.
- What is the difference in watermelons — gross per capita production index number between European Union (27) and Montenegro?
- 85.29, with Montenegro ahead.
- How many years of comparable data are there for European Union (27) and Montenegro?
- 19 years are reported by both, from 2006 to 2024.
- How do European Union (27) and Montenegro rank globally for watermelons — gross per capita production index number?
- European Union (27) ranks 10th and Montenegro ranks 11th of 27 groups.
- 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.