Cameroon vs Peru: Groundnuts, excluding shelled — Gross per capita Production Index
Cameroon
70.77
in 2024
Peru
67.72
in 2024
Cameroon rank
77th
Peru rank
79th
Groundnuts, excluding shelled — Gross per capita Production Index over time
- Cameroon
- Peru
How they compare
Cameroon currently reports 70.77 against 67.72 in Peru, a difference of 3.05.
The two have swapped places 11 times across 64 shared years of data; in 1961 it was Peru ahead.
Cameroon ranks 77th and Peru ranks 79th of 104 countries.
Across the 7 decades both report, Cameroon averaged higher in 4 and Peru in 3.
Head to head by decade
| Decade | Cameroon | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 94.22 | 127.52 | 33.3 | Peru |
| 1970s | 116.58 | 56.81 | 59.77 | Cameroon |
| 1980s | 43.34 | 40.86 | 2.48 | Cameroon |
| 1990s | 34.61 | 81.43 | 46.82 | Peru |
| 2000s | 71.65 | 115.38 | 43.73 | Peru |
| 2010s | 104.52 | 95.91 | 8.61 | Cameroon |
| 2020s | 81.42 | 75.03 | 6.38 | Cameroon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher groundnuts, excluding shelled — gross per capita production index, Cameroon or Peru?
- Cameroon, at 70.77 against 67.72 in Peru as of 2024.
- What is the difference in groundnuts, excluding shelled — gross per capita production index between Cameroon and Peru?
- 3.05, with Cameroon ahead.
- How many years of comparable data are there for Cameroon and Peru?
- 64 years are reported by both, from 1961 to 2024.
- How do Cameroon and Peru rank globally for groundnuts, excluding shelled — gross per capita production index?
- Cameroon ranks 77th and Peru ranks 79th of 104 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Groundnuts, excluding shelled — 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.