France vs Saudi Arabia: Watermelons — Gross per capita Production Index Number
France
104.9
in 2017
Saudi Arabia
102.11
in 2024
France rank
52nd
Saudi Arabia rank
54th
Watermelons — Gross per capita Production Index Number over time
- France
- Saudi Arabia
How they compare
France currently reports 104.9 against 102.11 in Saudi Arabia, a difference of 2.79.
The two have swapped places 2 times across 57 shared years of data; in 1961 it was Saudi Arabia ahead.
France ranks 52nd and Saudi Arabia ranks 54th of 109 countries.
Across the 6 decades both report, France averaged higher in 1 and Saudi Arabia in 5.
Head to head by decade
| Decade | France | Saudi Arabia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 39.96 | 236.56 | 196.6 | Saudi Arabia |
| 1970s | 35.79 | 439.24 | 403.45 | Saudi Arabia |
| 1980s | 38.07 | 269.94 | 231.86 | Saudi Arabia |
| 1990s | 80.15 | 180.9 | 100.74 | Saudi Arabia |
| 2000s | 62.12 | 92.15 | 30.03 | Saudi Arabia |
| 2010s | 98.98 | 91.16 | 7.82 | France |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, France or Saudi Arabia?
- France, at 104.9 against 102.11 in Saudi Arabia as of 2017.
- What is the difference in watermelons — gross per capita production index number between France and Saudi Arabia?
- 2.79, with France ahead.
- How many years of comparable data are there for France and Saudi Arabia?
- 57 years are reported by both, from 1961 to 2017.
- How do France and Saudi Arabia rank globally for watermelons — gross per capita production index number?
- France ranks 52nd and Saudi Arabia ranks 54th 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.