Chile vs Saudi Arabia: Watermelons — Gross per capita Production Index Number
Chile
100.36
in 2024
Saudi Arabia
102.11
in 2024
Chile rank
57th
Saudi Arabia rank
54th
Watermelons — Gross per capita Production Index Number over time
- Chile
- Saudi Arabia
How they compare
Saudi Arabia currently reports 102.11 against 100.36 in Chile, a difference of 1.75.
The two have swapped places 9 times across 64 shared years of data; in 1961 it was Chile ahead.
Chile ranks 57th and Saudi Arabia ranks 54th of 109 countries.
Chile has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Chile | Saudi Arabia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 694.1 | 236.56 | 457.54 | Chile |
| 1970s | 740.32 | 439.24 | 301.08 | Chile |
| 1980s | 539.1 | 269.94 | 269.16 | Chile |
| 1990s | 233.62 | 180.9 | 52.72 | Chile |
| 2000s | 174.92 | 92.15 | 82.77 | Chile |
| 2010s | 110.24 | 97.7 | 12.54 | Chile |
| 2020s | 105.1 | 104.8 | 0.3 | Chile |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Chile or Saudi Arabia?
- Saudi Arabia, at 102.11 against 100.36 in Chile as of 2024.
- What is the difference in watermelons — gross per capita production index number between Chile and Saudi Arabia?
- 1.75, with Saudi Arabia ahead.
- How many years of comparable data are there for Chile and Saudi Arabia?
- 64 years are reported by both, from 1961 to 2024.
- How do Chile and Saudi Arabia rank globally for watermelons — gross per capita production index number?
- Chile ranks 57th 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.