Pakistan vs Peru: Watermelons — Gross Production Index Number
Pakistan
214.89
in 2024
Peru
193.26
in 2024
Pakistan rank
11th
Peru rank
14th
Watermelons — Gross Production Index Number over time
- Pakistan
- Peru
How they compare
Pakistan currently reports 214.89 against 193.26 in Peru, a difference of 21.63.
That makes Pakistan's figure about 1.1 times Peru's.
The two have swapped places 13 times across 64 shared years of data; in 1961 it was Peru ahead.
Pakistan ranks 11th and Peru ranks 14th of 109 countries.
Across the 7 decades both report, Pakistan averaged higher in 5 and Peru in 2.
Head to head by decade
| Decade | Pakistan | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 28.07 | 49.13 | 21.06 | Peru |
| 1970s | 45.4 | 40.81 | 4.59 | Pakistan |
| 1980s | 53.45 | 46.49 | 6.97 | Pakistan |
| 1990s | 82.94 | 59 | 23.94 | Pakistan |
| 2000s | 72.13 | 74.41 | 2.28 | Peru |
| 2010s | 114 | 105.84 | 8.16 | Pakistan |
| 2020s | 263.93 | 152.65 | 111.28 | Pakistan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Pakistan or Peru?
- Pakistan, at 214.89 against 193.26 in Peru as of 2024.
- What is the difference in watermelons — gross production index number between Pakistan and Peru?
- 21.63, with Pakistan ahead.
- How many years of comparable data are there for Pakistan and Peru?
- 64 years are reported by both, from 1961 to 2024.
- How do Pakistan and Peru rank globally for watermelons — gross production index number?
- Pakistan ranks 11th and Peru ranks 14th 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.