Cocoa Beans and products — Losses by country
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply...
What the numbers show
Cocoa Beans and products — Losses is currently reported for 27 countries. The highest value is 82 1000 t in Cote d'Ivoire; the lowest is 0 1000 t in Congo.
The median across all reporting countries is 3 1000 t, and the mean is 12.96 1000 t.
Over the past decade 13 countries rose and 4 fell. The largest increase was in Caribbean (up 300.0%), and the largest decrease in Haiti (down 100.0%).
Cocoa Beans and products — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Cote d'Ivoire | 82 1000 t | 2023 | up 67.3% | rising |
| 1 | Côte d'Ivoire | 82 1000 t | 2023 | up 67.3% | rising |
| 3 | Brazil | 53 1000 t | 2023 | up 23.3% | rising |
| 4 | Indonesia | 38 1000 t | 2023 | up 5.6% | flat |
| 5 | Ecuador | 22 1000 t | 2023 | up 214.3% | rising |
| 6 | Nigeria | 16 1000 t | 2023 | down 11.1% | falling |
| 7 | Cameroon | 15 1000 t | 2023 | up 7.1% | rising |
| 8 | Peru | 11 1000 t | 2023 | up 120.0% | rising |
| 9 | Guatemala | 5 1000 t | 2023 | up 25.0% | rising |
| 10 | Caribbean | 4 1000 t | 2023 | up 300.0% | volatile |
| 11 | Dominican Republic | 3 1000 t | 2023 | down 25.0% | falling |
| 11 | Melanesia | 3 1000 t | 2023 | up 50.0% | rising |
| 11 | Colombia | 3 1000 t | 2023 | up 50.0% | rising |
| 11 | Papua New Guinea | 3 1000 t | 2023 | up 50.0% | rising |
| 15 | Uganda | 2 1000 t | 2023 | up 100.0% | rising |
| 16 | Philippines | 1 1000 t | 2023 | — | volatile |
| 16 | Democratic Republic of the Congo | 1 1000 t | 2023 | — | volatile |
| 16 | Mexico | 1 1000 t | 2023 | down 50.0% | falling |
| 16 | Sierra Leone | 1 1000 t | 2023 | unchanged | rising |
| 16 | Madagascar | 1 1000 t | 2023 | — | volatile |
| 16 | Liberia | 1 1000 t | 2023 | — | volatile |
| 16 | India | 1 1000 t | 2023 | unchanged | rising |
| 16 | Guinea | 1 1000 t | 2023 | — | volatile |
| 24 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 24 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 24 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 24 | Congo | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 265 1000 t
- Africa 122 1000 t
- Net Food Importing Developing Countries (NFIDCs) 105 1000 t
- Western Africa 102 1000 t
- Americas 100 1000 t
- South America 89 1000 t
- Asia 40 1000 t
- South-Eastern Asia 39 1000 t
- Low Income Food Deficit Countries (LIFDCs) 24 1000 t
- Middle Africa 17 1000 t
- Least Developed Countries (LDCs) 8 1000 t
- Central America 7 1000 t
- Small island developing States (SIDS) 7 1000 t
- Oceania 3 1000 t
- Eastern Africa 3 1000 t
- Land Locked Developing Countries (LLDCs) 2 1000 t
- Southern Asia 1 1000 t
About this data
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.