Central America vs Peru: Watermelons — Gross Production Index Number
Central America
111.87
in 2024
Peru
193.26
in 2024
Central America rank
13th
Peru rank
14th
Watermelons — Gross Production Index Number over time
- Central America
- Peru
How they compare
Peru currently reports 193.26 against 111.87 in Central America, a difference of 81.39.
That makes Peru's figure about 1.7 times Central America's.
The two have swapped places 10 times across 64 shared years of data; in 1961 it was Peru ahead.
Central America ranks 13th and Peru ranks 14th of 27 groups.
Across the 7 decades both report, Central America averaged higher in 2 and Peru in 5.
Head to head by decade
| Decade | Central America | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 22.07 | 49.13 | 27.07 | Peru |
| 1970s | 28.57 | 40.81 | 12.24 | Peru |
| 1980s | 40.79 | 46.49 | 5.69 | Peru |
| 1990s | 58.27 | 59 | 0.728 | Peru |
| 2000s | 94.11 | 74.41 | 19.7 | Central America |
| 2010s | 105.9 | 105.84 | 0.051 | Central America |
| 2020s | 115.45 | 152.65 | 37.21 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Central America or Peru?
- Peru, at 193.26 against 111.87 in Central America as of 2024.
- What is the difference in watermelons — gross production index number between Central America and Peru?
- 81.39, with Peru ahead.
- How many years of comparable data are there for Central America and Peru?
- 64 years are reported by both, from 1961 to 2024.
- How do Central America and Peru rank globally for watermelons — gross production index number?
- Central America ranks 13th and Peru ranks 14th of 27 groups.
- 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.