Cameroon vs Congo: Melonseed — Gross per capita Production Index Number
Cameroon
75.88
in 2024
Congo
80.51
in 2024
Cameroon rank
11th
Congo rank
10th
Melonseed — Gross per capita Production Index Number over time
- Cameroon
- Congo
How they compare
Congo currently reports 80.51 against 75.88 in Cameroon, a difference of 4.63.
That makes Congo's figure about 1.1 times Cameroon's.
The two have swapped places 5 times across 64 shared years of data; in 1961 it was Cameroon ahead.
Cameroon ranks 11th and Congo ranks 10th of 14 countries.
Across the 7 decades both report, Cameroon averaged higher in 6 and Congo in 1.
Head to head by decade
| Decade | Cameroon | Congo | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 240.91 | 211.31 | 29.61 | Cameroon |
| 1970s | 298.16 | 188.91 | 109.25 | Cameroon |
| 1980s | 256.98 | 182.56 | 74.42 | Cameroon |
| 1990s | 208.13 | 176.05 | 32.09 | Cameroon |
| 2000s | 162.81 | 135.11 | 27.7 | Cameroon |
| 2010s | 105.18 | 100.62 | 4.57 | Cameroon |
| 2020s | 81.61 | 84.39 | 2.77 | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher melonseed — gross per capita production index number, Cameroon or Congo?
- Congo, at 80.51 against 75.88 in Cameroon as of 2024.
- What is the difference in melonseed — gross per capita production index number between Cameroon and Congo?
- 4.63, with Congo ahead.
- How many years of comparable data are there for Cameroon and Congo?
- 64 years are reported by both, from 1961 to 2024.
- How do Cameroon and Congo rank globally for melonseed — gross per capita production index number?
- Cameroon ranks 11th and Congo ranks 10th of 14 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Melonseed — 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.