Austria vs Russian Federation: Watermelons — Gross per capita Production Index Number
Austria
114.76
in 2017
Russian Federation
117.11
in 2024
Austria rank
37th
Russian Federation rank
35th
Watermelons — Gross per capita Production Index Number over time
- Austria
- Russian Federation
How they compare
Russian Federation currently reports 117.11 against 114.76 in Austria, a difference of 2.35.
The two have swapped places 7 times across 20 shared years of data; in 1998 it was Russian Federation ahead.
Austria ranks 37th and Russian Federation ranks 35th of 109 countries.
Across the 3 decades both report, Austria averaged higher in 2 and Russian Federation in 1.
Head to head by decade
| Decade | Austria | Russian Federation | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 28.5 | 34.35 | 5.85 | Russian Federation |
| 2000s | 67.16 | 57.78 | 9.37 | Austria |
| 2010s | 96.93 | 93.61 | 3.31 | Austria |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Austria or Russian Federation?
- Russian Federation, at 117.11 against 114.76 in Austria as of 2024.
- What is the difference in watermelons — gross per capita production index number between Austria and Russian Federation?
- 2.35, with Russian Federation ahead.
- How many years of comparable data are there for Austria and Russian Federation?
- 20 years are reported by both, from 1998 to 2017.
- How do Austria and Russian Federation rank globally for watermelons — gross per capita production index number?
- Austria ranks 37th and Russian Federation ranks 35th of 109 countries.
- 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.