Montenegro vs Republic of Moldova: Watermelons — Gross Production Index Number
Watermelons — Gross Production Index Number over time
- Montenegro
- Republic of Moldova
How they compare
Montenegro currently reports 197.51 against 53.13 in Republic of Moldova, a difference of 144.38.
That makes Montenegro's figure about 3.7 times Republic of Moldova's.
The two have swapped places 4 times across 19 shared years of data; in 2006 it was Montenegro ahead.
Montenegro ranks 13th and Republic of Moldova ranks 15th of 109 countries.
Across the 3 decades both report, Montenegro averaged higher in 1 and Republic of Moldova in 2.
Head to head by decade
| Decade | Montenegro | Republic of Moldova | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 95.43 | 135.64 | 40.22 | Republic of Moldova |
| 2010s | 84.7 | 109.35 | 24.65 | Republic of Moldova |
| 2020s | 116.39 | 56.04 | 60.34 | Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Montenegro or Republic of Moldova?
- Montenegro, at 197.51 against 53.13 in Republic of Moldova as of 2024.
- What is the difference in watermelons — gross production index number between Montenegro and Republic of Moldova?
- 144.38, with Montenegro ahead.
- How many years of comparable data are there for Montenegro and Republic of Moldova?
- 19 years are reported by both, from 2006 to 2024.
- How do Montenegro and Republic of Moldova rank globally for watermelons — gross production index number?
- Montenegro ranks 13th and Republic of Moldova ranks 15th 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.