El Salvador vs Peru: Watermelons — Gross per capita Production Index Number
El Salvador
167.03
in 2024
Peru
172.09
in 2024
El Salvador rank
16th
Peru rank
15th
Watermelons — Gross per capita Production Index Number over time
- El Salvador
- Peru
How they compare
Peru currently reports 172.09 against 167.03 in El Salvador, a difference of 5.06.
The two have swapped places 7 times across 64 shared years of data; in 1961 it was El Salvador ahead.
El Salvador ranks 16th and Peru ranks 15th of 109 countries.
El Salvador has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | El Salvador | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 192.26 | 125.62 | 66.65 | El Salvador |
| 1970s | 228.21 | 83.1 | 145.11 | El Salvador |
| 1980s | 305.15 | 73.02 | 232.13 | El Salvador |
| 1990s | 196.84 | 73.9 | 122.94 | El Salvador |
| 2000s | 265.26 | 80.94 | 184.32 | El Salvador |
| 2010s | 162.46 | 105.6 | 56.86 | El Salvador |
| 2020s | 148.5 | 138.53 | 9.97 | El Salvador |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, El Salvador or Peru?
- Peru, at 172.09 against 167.03 in El Salvador as of 2024.
- What is the difference in watermelons — gross per capita production index number between El Salvador and Peru?
- 5.06, with Peru ahead.
- How many years of comparable data are there for El Salvador and Peru?
- 64 years are reported by both, from 1961 to 2024.
- How do El Salvador and Peru rank globally for watermelons — gross per capita production index number?
- El Salvador ranks 16th and Peru ranks 15th 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.