Montenegro vs Syrian Arab Republic: Watermelons — Gross Production Index Number
Watermelons — Gross Production Index Number over time
- Montenegro
- Syrian Arab Republic
How they compare
Montenegro currently reports 197.51 against 90.71 in Syrian Arab Republic, a difference of 106.8.
That makes Montenegro's figure about 2.2 times Syrian Arab Republic's.
The two have swapped places 3 times across 19 shared years of data; in 2006 it was Syrian Arab Republic ahead.
Montenegro ranks 13th and Syrian Arab Republic ranks 12th of 109 countries.
Syrian Arab Republic has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Montenegro | Syrian Arab Republic | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 95.43 | 249.57 | 154.14 | Syrian Arab Republic |
| 2010s | 84.7 | 137.82 | 53.13 | Syrian Arab Republic |
| 2020s | 116.39 | 132.63 | 16.25 | Syrian Arab Republic |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Montenegro or Syrian Arab Republic?
- Montenegro, at 197.51 against 90.71 in Syrian Arab Republic as of 2024.
- What is the difference in watermelons — gross production index number between Montenegro and Syrian Arab Republic?
- 106.8, with Montenegro ahead.
- How many years of comparable data are there for Montenegro and Syrian Arab Republic?
- 19 years are reported by both, from 2006 to 2024.
- How do Montenegro and Syrian Arab Republic rank globally for watermelons — gross production index number?
- Montenegro ranks 13th and Syrian Arab Republic ranks 12th 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.