Ghana vs Philippines: Cocoa beans — Gross Production Value
Ghana
1.76 million 1000 SLC
in 2024
Philippines
1.73 million 1000 SLC
in 2024
Ghana rank
14th
Philippines rank
15th
Cocoa beans — Gross Production Value over time
- Ghana
- Philippines
How they compare
Ghana currently reports 1.76 million 1000 SLC against 1.73 million 1000 SLC in Philippines, a difference of 34,800 1000 SLC.
The two have swapped places 1 time across 34 shared years of data; in 1991 it was Philippines ahead.
Ghana ranks 14th and Philippines ranks 15th of 35 countries.
Across the 4 decades both report, Ghana averaged higher in 3 and Philippines in 1.
Head to head by decade
| Decade | Ghana | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 33,926 1000 SLC | 218,648 1000 SLC | 184,722 1000 SLC | Philippines |
| 2000s | 542,146 1000 SLC | 279,128 1000 SLC | 263,018 1000 SLC | Ghana |
| 2010s | 2.64 million 1000 SLC | 527,908 1000 SLC | 2.11 million 1000 SLC | Ghana |
| 2020s | 2.40 million 1000 SLC | 1.15 million 1000 SLC | 1.25 million 1000 SLC | Ghana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cocoa beans — gross production value, Ghana or Philippines?
- Ghana, at 1.76 million 1000 SLC against 1.73 million 1000 SLC in Philippines as of 2024.
- What is the difference in cocoa beans — gross production value between Ghana and Philippines?
- 34,800 1000 SLC, with Ghana ahead.
- How many years of comparable data are there for Ghana and Philippines?
- 34 years are reported by both, from 1991 to 2024.
- How do Ghana and Philippines rank globally for cocoa beans — gross production value?
- Ghana ranks 14th and Philippines ranks 15th 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.