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 126 countries. The highest value is 3,095 1000 t in Indonesia; the lowest is 0 1000 t in United Kingdom of Great Britain and Northern Ireland.
The median across all reporting countries is 0 1000 t, and the mean is 41.71 1000 t.
Over the past decade 23 countries rose and 16 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 |
| 4 | China | 276 1000 t | 2023 | up 253.8% | rising |
| 5 | China, mainland | 274 1000 t | 2023 | up 251.3% | rising |
| 6 | Mexico | 185 1000 t | 2023 | up 537.9% | volatile |
| 7 | Melanesia | 86 1000 t | 2023 | up 3.6% | rising |
| 8 | Vanuatu | 83 1000 t | 2023 | up 27.7% | rising |
| 9 | Philippines | 63 1000 t | 2023 | down 95.6% | volatile |
| 10 | Bangladesh | 41 1000 t | 2023 | up 141.2% | volatile |
| 11 | Sri Lanka | 32 1000 t | 2023 | down 37.3% | volatile |
| 12 | Pakistan | 22 1000 t | 2023 | down 31.2% | flat |
| 13 | Afghanistan | 21 1000 t | 2023 | — | volatile |
| 14 | Micronesia | 19 1000 t | 2023 | up 375.0% | volatile |
| 15 | Brazil | 15 1000 t | 2023 | up 7.1% | falling |
| 16 | Timor-Leste | 14 1000 t | 2023 | up 366.7% | rising |
| 17 | Colombia | 13 1000 t | 2023 | — | volatile |
| 17 | Thailand | 13 1000 t | 2023 | down 79.0% | volatile |
| 19 | Ghana | 11 1000 t | 2023 | up 450.0% | volatile |
| 20 | El Salvador | 10 1000 t | 2023 | up 100.0% | volatile |
| 20 | Micronesia (Federated States of) | 10 1000 t | 2023 | — | volatile |
| 22 | Comoros | 9 1000 t | 2023 | up 28.6% | volatile |
| 23 | Kiribati | 8 1000 t | 2023 | up 100.0% | volatile |
| 23 | Polynesia | 8 1000 t | 2023 | up 100.0% | volatile |
| 25 | Kenya | 6 1000 t | 2023 | up 500.0% | rising |
| 25 | Malaysia | 6 1000 t | 2023 | up 20.0% | flat |
| 25 | Caribbean | 6 1000 t | 2023 | up 20.0% | rising |
| 25 | Côte d'Ivoire | 6 1000 t | 2023 | down 45.5% | volatile |
| 29 | French Polynesia | 5 1000 t | 2023 | up 400.0% | volatile |
| 30 | Nepal | 3 1000 t | 2023 | — | volatile |
| 30 | Samoa | 3 1000 t | 2023 | up 50.0% | rising |
| 30 | United Republic of Tanzania | 3 1000 t | 2023 | up 200.0% | volatile |
| 33 | United Arab Emirates | 2 1000 t | 2023 | up 100.0% | volatile |
| 33 | Fiji | 2 1000 t | 2023 | down 88.9% | volatile |
| 33 | Cambodia | 2 1000 t | 2023 | down 50.0% | volatile |
| 33 | Peru | 2 1000 t | 2023 | unchanged | falling |
| 33 | China, Macao SAR | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Barbados | 1 1000 t | 2023 | unchanged | volatile |
| 38 | Ecuador | 1 1000 t | 2023 | unchanged | flat |
| 38 | Haiti | 1 1000 t | 2023 | down 50.0% | volatile |
| 38 | Italy | 1 1000 t | 2023 | — | rising |
| 38 | Madagascar | 1 1000 t | 2023 | down 75.0% | volatile |
| 38 | Marshall Islands | 1 1000 t | 2023 | — | rising |
| 38 | Nigeria | 1 1000 t | 2023 | unchanged | volatile |
| 38 | Sierra Leone | 1 1000 t | 2023 | — | volatile |
| 38 | Türkiye | 1 1000 t | 2023 | — | volatile |
| 38 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | — | volatile |
| 48 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Belgium | 0 1000 t | 2023 | — | flat |
| 48 | Burkina Faso | 0 1000 t | 2022 | — | volatile |
| 48 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 48 | Bahamas | 0 1000 t | 2023 | — | flat |
| 48 | Belarus | 0 1000 t | 2022 | — | flat |
| 48 | Bhutan | 0 1000 t | 2023 | — | flat |
| 48 | Canada | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Switzerland | 0 1000 t | 2023 | — | flat |
| 48 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Cameroon | 0 1000 t | 2018 | — | flat |
| 48 | Cuba | 0 1000 t | 2019 | — | flat |
| 48 | Cyprus | 0 1000 t | 2023 | — | flat |
| 48 | Czechia | 0 1000 t | 2023 | — | flat |
| 48 | Algeria | 0 1000 t | 2023 | — | volatile |
| 48 | Egypt | 0 1000 t | 2023 | — | flat |
| 48 | Estonia | 0 1000 t | 2023 | — | flat |
| 48 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 48 | Finland | 0 1000 t | 2023 | — | flat |
| 48 | France | 0 1000 t | 2023 | — | flat |
| 48 | Gabon | 0 1000 t | 2023 | — | flat |
| 48 | Gambia | 0 1000 t | 2021 | — | flat |
| 48 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 48 | Grenada | 0 1000 t | 2023 | — | volatile |
| 48 | Honduras | 0 1000 t | 2023 | — | flat |
| 48 | Ireland | 0 1000 t | 2023 | — | flat |
| 48 | Iraq | 0 1000 t | 2023 | — | flat |
| 48 | Iceland | 0 1000 t | 2022 | — | flat |
| 48 | Israel | 0 1000 t | 2023 | — | flat |
| 48 | Jamaica | 0 1000 t | 2023 | — | flat |
| 48 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 48 | Libya | 0 1000 t | 2023 | — | flat |
| 48 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 48 | Lesotho | 0 1000 t | 2023 | — | flat |
| 48 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 48 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 48 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 48 | Malta | 0 1000 t | 2023 | — | flat |
| 48 | Myanmar | 0 1000 t | 2023 | — | flat |
| 48 | Mozambique | 0 1000 t | 2018 | — | flat |
| 48 | Mauritius | 0 1000 t | 2023 | — | flat |
| 48 | Malawi | 0 1000 t | 2021 | — | flat |
| 48 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 48 | Norway | 0 1000 t | 2022 | — | flat |
| 48 | New Zealand | 0 1000 t | 2018 | — | flat |
| 48 | Oman | 0 1000 t | 2023 | — | flat |
| 48 | Panama | 0 1000 t | 2023 | — | volatile |
| 48 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 48 | Poland | 0 1000 t | 2023 | — | flat |
| 48 | Portugal | 0 1000 t | 2023 | — | flat |
| 48 | Paraguay | 0 1000 t | 2018 | — | flat |
| 48 | Romania | 0 1000 t | 2023 | — | flat |
| 48 | Rwanda | 0 1000 t | 2023 | — | flat |
| 48 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 48 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 48 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 48 | Slovakia | 0 1000 t | 2023 | — | flat |
| 48 | Slovenia | 0 1000 t | 2023 | — | flat |
| 48 | Sweden | 0 1000 t | 2023 | — | flat |
| 48 | Eswatini | 0 1000 t | 2023 | — | flat |
| 48 | Seychelles | 0 1000 t | 2023 | — | flat |
| 48 | Turkmenistan | 0 1000 t | 2022 | — | flat |
| 48 | Tonga | 0 1000 t | 2023 | — | volatile |
| 48 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 48 | Uganda | 0 1000 t | 2023 | — | flat |
| 48 | Ukraine | 0 1000 t | 2023 | — | flat |
| 48 | Uruguay | 0 1000 t | 2023 | — | flat |
| 48 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 48 | Yemen | 0 1000 t | 2023 | — | volatile |
| 48 | Zambia | 0 1000 t | 2022 | — | flat |
| 48 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 48 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 48 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 48 | Republic of Korea | 0 1000 t | 2018 | down 100.0% | volatile |
| 48 | Russian Federation | 0 1000 t | 2022 | — | flat |
| 48 | Syrian Arab Republic | 0 1000 t | 2022 | — | flat |
| 48 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 48 | Australia and New Zealand | 0 1000 t | 2020 | — | flat |
| 48 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
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
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.