Africa vs Peru: Watermelons — Gross per capita Production Index Number
Africa
100.87
in 2024
Peru
172.09
in 2024
Africa rank
15th
Peru rank
15th
Watermelons — Gross per capita Production Index Number over time
- Africa
- Peru
How they compare
Peru currently reports 172.09 against 100.87 in Africa, a difference of 71.22.
That makes Peru's figure about 1.7 times Africa's.
The two have swapped places 12 times across 64 shared years of data; in 1961 it was Peru ahead.
Africa ranks 15th and Peru ranks 15th of 27 groups.
Across the 7 decades both report, Africa averaged higher in 4 and Peru in 3.
Head to head by decade
| Decade | Africa | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 87.5 | 125.62 | 38.11 | Peru |
| 1970s | 92.78 | 83.1 | 9.68 | Africa |
| 1980s | 85.73 | 73.02 | 12.71 | Africa |
| 1990s | 80.26 | 73.9 | 6.36 | Africa |
| 2000s | 97.44 | 80.94 | 16.49 | Africa |
| 2010s | 99.37 | 105.6 | 6.23 | Peru |
| 2020s | 106.71 | 138.53 | 31.81 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Africa or Peru?
- Peru, at 172.09 against 100.87 in Africa as of 2024.
- What is the difference in watermelons — gross per capita production index number between Africa and Peru?
- 71.22, with Peru ahead.
- How many years of comparable data are there for Africa and Peru?
- 64 years are reported by both, from 1961 to 2024.
- How do Africa and Peru rank globally for watermelons — gross per capita production index number?
- Africa ranks 15th and Peru ranks 15th of 27 groups.
- 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.