Peru vs Southern Asia: Grapes — Gross Production Index Number
Peru
158.46
in 2024
Southern Asia
119.49
in 2024
Peru rank
7th
Southern Asia rank
5th
Grapes — Gross Production Index Number over time
- Peru
- Southern Asia
How they compare
Peru currently reports 158.46 against 119.49 in Southern Asia, a difference of 38.97.
That makes Peru's figure about 1.3 times Southern Asia's.
The two have swapped places 3 times across 64 shared years of data; in 1961 it was Southern Asia ahead.
Peru ranks 7th and Southern Asia ranks 5th of 84 countries.
Across the 7 decades both report, Peru averaged higher in 1 and Southern Asia in 6.
Head to head by decade
| Decade | Peru | Southern Asia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 9.67 | 16.22 | 6.55 | Southern Asia |
| 1970s | 9.82 | 24.76 | 14.94 | Southern Asia |
| 1980s | 8.52 | 38.05 | 29.53 | Southern Asia |
| 1990s | 12.16 | 53.23 | 41.06 | Southern Asia |
| 2000s | 28.7 | 79.36 | 50.67 | Southern Asia |
| 2010s | 85.28 | 95.35 | 10.07 | Southern Asia |
| 2020s | 144.64 | 110.9 | 33.74 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher grapes — gross production index number, Peru or Southern Asia?
- Peru, at 158.46 against 119.49 in Southern Asia as of 2024.
- What is the difference in grapes — gross production index number between Peru and Southern Asia?
- 38.97, 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 grapes — gross production index number?
- Peru ranks 7th and Southern Asia ranks 5th of 84 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Grapes — 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.