Madagascar vs Nigeria: Cocoa beans — Gross Production Value
Cocoa beans — Gross Production Value over time
- Madagascar
- Nigeria
How they compare
Madagascar currently reports 73.91 million 1000 SLC against 17.58 million 1000 SLC in Nigeria, a difference of 56.33 million 1000 SLC.
That makes Madagascar's figure about 4.2 times Nigeria's.
The two have swapped places 1 time across 34 shared years of data; in 1991 it was Nigeria ahead.
Madagascar ranks 5th and Nigeria ranks 8th of 35 countries.
Across the 4 decades both report, Madagascar averaged higher in 2 and Nigeria in 2.
Head to head by decade
| Decade | Madagascar | Nigeria | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 4.99 million 1000 SLC | 16.89 million 1000 SLC | 11.90 million 1000 SLC | Nigeria |
| 2000s | 11.75 million 1000 SLC | 49.18 million 1000 SLC | 37.44 million 1000 SLC | Nigeria |
| 2010s | 28.22 million 1000 SLC | 26.64 million 1000 SLC | 1.58 million 1000 SLC | Madagascar |
| 2020s | 50.77 million 1000 SLC | 17.37 million 1000 SLC | 33.39 million 1000 SLC | Madagascar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cocoa beans — gross production value, Madagascar or Nigeria?
- Madagascar, at 73.91 million 1000 SLC against 17.58 million 1000 SLC in Nigeria as of 2024.
- What is the difference in cocoa beans — gross production value between Madagascar and Nigeria?
- 56.33 million 1000 SLC, with Madagascar ahead.
- How many years of comparable data are there for Madagascar and Nigeria?
- 34 years are reported by both, from 1991 to 2024.
- How do Madagascar and Nigeria rank globally for cocoa beans — gross production value?
- Madagascar ranks 5th and Nigeria ranks 8th of 35 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cocoa beans — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.