Italy vs Russian Federation: Watermelons — Gross Production Index Number
Italy
115.56
in 2017
Russian Federation
116.66
in 2024
Italy rank
44th
Russian Federation rank
41st
Watermelons — Gross Production Index Number over time
- Italy
- Russian Federation
How they compare
Russian Federation currently reports 116.66 against 115.56 in Italy, a difference of 1.1.
The two have swapped places 4 times across 26 shared years of data; in 1992 it was Italy ahead.
Italy ranks 44th and Russian Federation ranks 41st of 109 countries.
Italy has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Italy | Russian Federation | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 123.15 | 34.45 | 88.7 | Italy |
| 2000s | 101.92 | 57.55 | 44.38 | Italy |
| 2010s | 96.2 | 93.35 | 2.84 | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Italy or Russian Federation?
- Russian Federation, at 116.66 against 115.56 in Italy as of 2024.
- What is the difference in watermelons — gross production index number between Italy and Russian Federation?
- 1.1, with Russian Federation ahead.
- How many years of comparable data are there for Italy and Russian Federation?
- 26 years are reported by both, from 1992 to 2017.
- How do Italy and Russian Federation rank globally for watermelons — gross production index number?
- Italy ranks 44th and Russian Federation ranks 41st 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.