Peru vs Philippines: Cocoa beans — Gross Production Index Number
Peru
167.19
in 2024
Philippines
183.65
in 2024
Peru rank
14th
Philippines rank
11th
Cocoa beans — Gross Production Index Number over time
- Peru
- Philippines
How they compare
Philippines currently reports 183.65 against 167.19 in Peru, a difference of 16.46.
That makes Philippines's figure about 1.1 times Peru's.
The two have swapped places 2 times across 64 shared years of data; in 1961 it was Philippines ahead.
Peru ranks 14th and Philippines ranks 11th of 50 countries.
Philippines has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Peru | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 2.48 | 64.53 | 62.05 | Philippines |
| 1970s | 3.09 | 60.07 | 56.98 | Philippines |
| 1980s | 10.22 | 108.28 | 98.06 | Philippines |
| 1990s | 19.34 | 137.76 | 118.43 | Philippines |
| 2000s | 30 | 96.4 | 66.4 | Philippines |
| 2010s | 97.52 | 102.93 | 5.42 | Philippines |
| 2020s | 173.59 | 174.07 | 0.478 | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cocoa beans — gross production index number, Peru or Philippines?
- Philippines, at 183.65 against 167.19 in Peru as of 2024.
- What is the difference in cocoa beans — gross production index number between Peru and Philippines?
- 16.46, with Philippines ahead.
- How many years of comparable data are there for Peru and Philippines?
- 64 years are reported by both, from 1961 to 2024.
- How do Peru and Philippines rank globally for cocoa beans — gross production index number?
- Peru ranks 14th and Philippines ranks 11th of 50 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cocoa beans — 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.