Peru vs Southern Asia: Watermelons — Gross Production Index Number
Peru
193.26
in 2024
Southern Asia
103.78
in 2024
Peru rank
14th
Southern Asia rank
17th
Watermelons — Gross Production Index Number over time
- Peru
- Southern Asia
How they compare
Peru currently reports 193.26 against 103.78 in Southern Asia, a difference of 89.48.
That makes Peru's figure about 1.9 times Southern Asia's.
The two have swapped places 10 times across 64 shared years of data; in 1961 it was Peru ahead.
Peru ranks 14th and Southern Asia ranks 17th of 109 countries.
Peru has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Peru | Southern Asia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 49.13 | 13.48 | 35.66 | Peru |
| 1970s | 40.81 | 22.87 | 17.94 | Peru |
| 1980s | 46.49 | 41.14 | 5.35 | Peru |
| 1990s | 59 | 41.31 | 17.7 | Peru |
| 2000s | 74.41 | 58.11 | 16.29 | Peru |
| 2010s | 105.84 | 85.04 | 20.81 | Peru |
| 2020s | 152.65 | 102.26 | 50.39 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Peru or Southern Asia?
- Peru, at 193.26 against 103.78 in Southern Asia as of 2024.
- What is the difference in watermelons — gross production index number between Peru and Southern Asia?
- 89.48, with Peru ahead.
- How many years of comparable data are there for Peru and Southern Asia?
- 64 years are reported by both, from 1961 to 2024.
- How do Peru and Southern Asia rank globally for watermelons — gross production index number?
- Peru ranks 14th and Southern Asia ranks 17th of 109 countries.
- 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.