Coconuts - Incl Copra — Feed 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
Coconuts - Incl Copra — Feed is currently reported for 70 countries. The highest value is 3,095 1000 t in Indonesia; the lowest is 0 1000 t in Venezuela (Bolivarian Republic of).
The median across all reporting countries is 3 1000 t, and the mean is 80.59 1000 t.
Over the past decade 26 countries rose and 17 fell. The largest increase was in Mexico (up 537.9%), and the largest decrease in Angola (down 100.0%).
Coconuts - Incl Copra — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 3,095 1000 t | 2023 | down 5.4% | falling |
| 2 | India | 540 1000 t | 2023 | down 25.8% | volatile |
| 3 | Viet Nam | 350 1000 t | 2023 | up 150.0% | rising |
| 3 | Vietnam | 350 1000 t | 2023 | up 150.0% | rising |
| 5 | China | 276 1000 t | 2023 | up 253.8% | rising |
| 6 | China, mainland | 274 1000 t | 2023 | up 251.3% | rising |
| 7 | Mexico | 185 1000 t | 2023 | up 537.9% | volatile |
| 8 | Melanesia | 86 1000 t | 2023 | up 3.6% | rising |
| 9 | Vanuatu | 83 1000 t | 2023 | up 27.7% | rising |
| 10 | Philippines | 63 1000 t | 2023 | down 95.6% | volatile |
| 11 | Bangladesh | 41 1000 t | 2023 | up 141.2% | volatile |
| 12 | Sri Lanka | 32 1000 t | 2023 | down 37.3% | volatile |
| 13 | Pakistan | 22 1000 t | 2023 | down 31.2% | flat |
| 14 | Afghanistan | 21 1000 t | 2023 | — | volatile |
| 15 | Micronesia | 19 1000 t | 2023 | up 375.0% | volatile |
| 16 | Brazil | 15 1000 t | 2023 | up 7.1% | falling |
| 17 | East Timor | 14 1000 t | 2023 | up 366.7% | rising |
| 17 | United States | 14 1000 t | 2023 | up 180.0% | rising |
| 17 | Timor-Leste | 14 1000 t | 2023 | up 366.7% | rising |
| 20 | Thailand | 13 1000 t | 2023 | down 79.0% | volatile |
| 20 | Colombia | 13 1000 t | 2023 | — | volatile |
| 22 | Ghana | 11 1000 t | 2023 | up 450.0% | volatile |
| 23 | El Salvador | 10 1000 t | 2023 | up 100.0% | volatile |
| 23 | Micronesia (Federated States of) | 10 1000 t | 2023 | — | volatile |
| 25 | Comoros | 9 1000 t | 2023 | up 28.6% | volatile |
| 26 | Polynesia | 8 1000 t | 2023 | up 100.0% | volatile |
| 26 | Kiribati | 8 1000 t | 2023 | up 100.0% | volatile |
| 28 | Kenya | 6 1000 t | 2023 | up 500.0% | rising |
| 28 | Malaysia | 6 1000 t | 2023 | up 20.0% | flat |
| 28 | Cote d'Ivoire | 6 1000 t | 2023 | down 45.5% | volatile |
| 28 | Côte d'Ivoire | 6 1000 t | 2023 | down 45.5% | volatile |
| 28 | Caribbean | 6 1000 t | 2023 | up 20.0% | rising |
| 33 | French Polynesia | 5 1000 t | 2023 | up 400.0% | volatile |
| 34 | Nepal | 3 1000 t | 2023 | — | volatile |
| 34 | Samoa | 3 1000 t | 2023 | up 50.0% | rising |
| 34 | United Republic of Tanzania | 3 1000 t | 2023 | up 200.0% | volatile |
| 37 | China, Macao SAR | 2 1000 t | 2023 | up 100.0% | rising |
| 37 | United Arab Emirates | 2 1000 t | 2023 | up 100.0% | volatile |
| 37 | Fiji | 2 1000 t | 2023 | down 88.9% | volatile |
| 37 | Peru | 2 1000 t | 2023 | unchanged | falling |
| 37 | Cambodia | 2 1000 t | 2023 | down 50.0% | volatile |
| 42 | Turkey | 1 1000 t | 2023 | — | volatile |
| 42 | Barbados | 1 1000 t | 2023 | unchanged | volatile |
| 42 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | — | volatile |
| 42 | Ecuador | 1 1000 t | 2023 | unchanged | flat |
| 42 | Haiti | 1 1000 t | 2023 | down 50.0% | volatile |
| 42 | Italy | 1 1000 t | 2023 | — | rising |
| 42 | Madagascar | 1 1000 t | 2023 | down 75.0% | volatile |
| 42 | Marshall Islands | 1 1000 t | 2023 | — | rising |
| 42 | Türkiye | 1 1000 t | 2023 | — | volatile |
| 42 | Nigeria | 1 1000 t | 2023 | unchanged | volatile |
| 42 | Sierra Leone | 1 1000 t | 2023 | — | volatile |
| 53 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 53 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Yemen | 0 1000 t | 2023 | — | volatile |
| 53 | Burkina Faso | 0 1000 t | 2022 | — | volatile |
| 53 | Tonga | 0 1000 t | 2023 | — | volatile |
| 53 | Canada | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 53 | Algeria | 0 1000 t | 2023 | — | volatile |
| 53 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 53 | Grenada | 0 1000 t | 2023 | — | volatile |
| 53 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 53 | Panama | 0 1000 t | 2023 | — | volatile |
| 53 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 53 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 53 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 53 | Republic of Korea | 0 1000 t | 2018 | down 100.0% | volatile |
| 53 | Venezuela (Bolivarian Republic of) | 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 4,925 1000 t
- Asia 4,516 1000 t
- South-Eastern Asia 3,542 1000 t
- Southern Asia 694 1000 t
- Eastern Asia 277 1000 t
- Americas 254 1000 t
- Central America 196 1000 t
- Net Food Importing Developing Countries (NFIDCs) 191 1000 t
- Small island developing States (SIDS) 150 1000 t
- Oceania 114 1000 t
- Least Developed Countries (LDCs) 104 1000 t
- Low Income Food Deficit Countries (LIFDCs) 45 1000 t
- Africa 39 1000 t
- South America 37 1000 t
- Land Locked Developing Countries (LLDCs) 24 1000 t
- Eastern Africa 20 1000 t
- Western Africa 19 1000 t
- Northern America 14 1000 t
- United States of America 14 1000 t
- Western Asia 3 1000 t
- Europe 3 1000 t
- European Union (27) 2 1000 t
- Southern Europe 1 1000 t
- Western Europe 1 1000 t
- Eastern Europe 0 1000 t
- Middle Africa 0 1000 t
- Northern Europe 0 1000 t
- Northern Africa 0 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.