Cameroon vs Philippines: Maize (corn) — Gross Production Index Number
Cameroon
106.01
in 2024
Philippines
108.47
in 2024
Cameroon rank
68th
Philippines rank
66th
Maize (corn) — Gross Production Index Number over time
- Cameroon
- Philippines
How they compare
Philippines currently reports 108.47 against 106.01 in Cameroon, a difference of 2.46.
The two have swapped places 5 times across 64 shared years of data; in 1961 it was Cameroon ahead.
Cameroon ranks 68th and Philippines ranks 66th of 147 countries.
Philippines has averaged higher in every one of the 7 decades both report.
Head to head by decade
| Decade | Cameroon | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 16.57 | 19.81 | 3.24 | Philippines |
| 1970s | 22.48 | 33.49 | 11.01 | Philippines |
| 1980s | 19.52 | 50.05 | 30.53 | Philippines |
| 1990s | 29.55 | 59.6 | 30.05 | Philippines |
| 2000s | 52.34 | 73.86 | 21.52 | Philippines |
| 2010s | 94.69 | 99.04 | 4.35 | Philippines |
| 2020s | 103.97 | 109.84 | 5.87 | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maize (corn) — gross production index number, Cameroon or Philippines?
- Philippines, at 108.47 against 106.01 in Cameroon as of 2024.
- What is the difference in maize (corn) — gross production index number between Cameroon and Philippines?
- 2.46, with Philippines ahead.
- How many years of comparable data are there for Cameroon and Philippines?
- 64 years are reported by both, from 1961 to 2024.
- How do Cameroon and Philippines rank globally for maize (corn) — gross production index number?
- Cameroon ranks 68th and Philippines ranks 66th of 147 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Maize (corn) — 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.