Coconut Oil — Domestic supply quantity 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
Coconut Oil — Domestic supply quantity is currently reported for 181 countries. The highest value is 328 1000 t in India; the lowest is -1 1000 t in Uruguay.
The median across all reporting countries is 1 1000 t, and the mean is 14.76 1000 t.
The gap between the highest and lowest reporting country is a factor of about 328.
Over the past decade 42 countries rose and 38 fell. The largest increase was in Micronesia (up 450.0%), and the largest decrease in Uruguay (down 200.0%).
Coconut Oil — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 328 1000 t | 2023 | down 11.4% | falling |
| 2 | Netherlands (Kingdom of the) | 195 1000 t | 2023 | down 5.8% | falling |
| 3 | China | 189 1000 t | 2023 | up 35.0% | falling |
| 3 | Germany | 189 1000 t | 2023 | down 24.4% | falling |
| 5 | China, mainland | 182 1000 t | 2023 | up 38.9% | falling |
| 6 | Viet Nam | 180 1000 t | 2023 | up 33.3% | rising |
| 7 | Malaysia | 162 1000 t | 2023 | up 48.6% | volatile |
| 8 | Philippines | 138 1000 t | 2023 | down 71.7% | volatile |
| 9 | Mexico | 133 1000 t | 2023 | unchanged | falling |
| 10 | Sri Lanka | 106 1000 t | 2023 | up 125.5% | rising |
| 11 | Italy | 67 1000 t | 2023 | up 3.1% | rising |
| 12 | Spain | 62 1000 t | 2023 | up 210.0% | rising |
| 13 | Republic of Korea | 51 1000 t | 2023 | down 16.4% | falling |
| 14 | France | 43 1000 t | 2023 | down 15.7% | falling |
| 15 | Belgium | 34 1000 t | 2023 | down 29.2% | falling |
| 16 | Thailand | 33 1000 t | 2023 | up 3.1% | falling |
| 17 | Bangladesh | 31 1000 t | 2023 | up 14.8% | rising |
| 18 | Poland | 28 1000 t | 2023 | unchanged | falling |
| 18 | Russian Federation | 28 1000 t | 2023 | down 33.3% | falling |
| 21 | Mozambique | 26 1000 t | 2023 | up 52.9% | rising |
| 22 | Türkiye | 19 1000 t | 2023 | down 13.6% | falling |
| 22 | United Kingdom of Great Britain and Northern Ireland | 19 1000 t | 2023 | down 13.6% | rising |
| 24 | Australia and New Zealand | 18 1000 t | 2023 | down 5.3% | rising |
| 25 | Melanesia | 17 1000 t | 2023 | down 32.0% | falling |
| 26 | Canada | 16 1000 t | 2023 | up 6.7% | rising |
| 27 | Brazil | 15 1000 t | 2023 | up 400.0% | volatile |
| 27 | Sweden | 15 1000 t | 2023 | up 25.0% | rising |
| 27 | United Republic of Tanzania | 15 1000 t | 2023 | up 25.0% | falling |
| 30 | Jamaica | 14 1000 t | 2023 | up 16.7% | rising |
| 31 | United Arab Emirates | 12 1000 t | 2023 | up 300.0% | rising |
| 31 | Iran (Islamic Republic of) | 12 1000 t | 2023 | up 71.4% | rising |
| 33 | Austria | 11 1000 t | 2023 | up 57.1% | rising |
| 33 | Micronesia | 11 1000 t | 2023 | up 450.0% | volatile |
| 35 | Australia | 10 1000 t | 2023 | down 28.6% | falling |
| 35 | Indonesia | 10 1000 t | 2023 | down 96.9% | volatile |
| 35 | Cambodia | 10 1000 t | 2023 | up 11.1% | rising |
| 35 | Pakistan | 10 1000 t | 2023 | unchanged | falling |
| 35 | Venezuela (Bolivarian Republic of) | 10 1000 t | 2023 | down 16.7% | rising |
| 35 | Côte d'Ivoire | 10 1000 t | 2023 | down 16.7% | falling |
| 41 | Greece | 9 1000 t | 2023 | up 350.0% | volatile |
| 42 | Switzerland | 8 1000 t | 2023 | up 14.3% | rising |
| 42 | Dominican Republic | 8 1000 t | 2023 | up 14.3% | rising |
| 42 | Polynesia | 8 1000 t | 2023 | up 300.0% | volatile |
| 45 | Nigeria | 7 1000 t | 2023 | down 36.4% | falling |
| 45 | New Zealand | 7 1000 t | 2023 | up 40.0% | rising |
| 45 | Uzbekistan | 7 1000 t | 2023 | up 133.3% | rising |
| 48 | Ghana | 6 1000 t | 2023 | down 14.3% | falling |
| 48 | Madagascar | 6 1000 t | 2023 | down 25.0% | falling |
| 48 | Papua New Guinea | 6 1000 t | 2023 | down 62.5% | volatile |
| 48 | Tonga | 6 1000 t | 2023 | — | rising |
| 48 | Ukraine | 6 1000 t | 2023 | down 53.8% | falling |
| 48 | China, Taiwan Province of | 6 1000 t | 2023 | down 25.0% | falling |
| 54 | Guinea-Bissau | 5 1000 t | 2023 | down 16.7% | falling |
| 54 | Kuwait | 5 1000 t | 2023 | up 400.0% | volatile |
| 54 | Marshall Islands | 5 1000 t | 2023 | — | volatile |
| 54 | Saudi Arabia | 5 1000 t | 2023 | up 150.0% | volatile |
| 54 | Vanuatu | 5 1000 t | 2023 | up 25.0% | volatile |
| 59 | Denmark | 4 1000 t | 2023 | unchanged | rising |
| 59 | Egypt | 4 1000 t | 2023 | down 20.0% | rising |
| 59 | Ireland | 4 1000 t | 2023 | down 50.0% | falling |
| 59 | Iraq | 4 1000 t | 2023 | — | volatile |
| 59 | Kenya | 4 1000 t | 2023 | unchanged | rising |
| 59 | Tunisia | 4 1000 t | 2023 | unchanged | rising |
| 59 | Micronesia (Federated States of) | 4 1000 t | 2023 | — | flat |
| 66 | Czechia | 3 1000 t | 2023 | up 50.0% | rising |
| 66 | Algeria | 3 1000 t | 2023 | up 50.0% | flat |
| 66 | Fiji | 3 1000 t | 2023 | unchanged | volatile |
| 66 | Hungary | 3 1000 t | 2023 | up 50.0% | rising |
| 66 | Kiribati | 3 1000 t | 2023 | up 50.0% | rising |
| 66 | Lebanon | 3 1000 t | 2023 | up 50.0% | flat |
| 66 | Romania | 3 1000 t | 2023 | unchanged | falling |
| 66 | Solomon Islands | 3 1000 t | 2023 | up 50.0% | rising |
| 66 | Trinidad and Tobago | 3 1000 t | 2023 | up 50.0% | rising |
| 75 | Argentina | 2 1000 t | 2023 | down 50.0% | falling |
| 75 | Ecuador | 2 1000 t | 2023 | unchanged | falling |
| 75 | Guinea | 2 1000 t | 2023 | up 100.0% | rising |
| 75 | Croatia | 2 1000 t | 2023 | unchanged | rising |
| 75 | Jordan | 2 1000 t | 2023 | — | volatile |
| 75 | Oman | 2 1000 t | 2023 | up 100.0% | rising |
| 75 | Portugal | 2 1000 t | 2023 | up 100.0% | volatile |
| 75 | El Salvador | 2 1000 t | 2023 | up 100.0% | flat |
| 75 | Serbia | 2 1000 t | 2023 | unchanged | rising |
| 75 | Slovenia | 2 1000 t | 2023 | up 100.0% | rising |
| 85 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 85 | Bulgaria | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Bahrain | 1 1000 t | 2023 | — | flat |
| 85 | Belarus | 1 1000 t | 2023 | unchanged | falling |
| 85 | Cameroon | 1 1000 t | 2023 | unchanged | flat |
| 85 | Colombia | 1 1000 t | 2023 | — | volatile |
| 85 | Finland | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Georgia | 1 1000 t | 2023 | — | volatile |
| 85 | Grenada | 1 1000 t | 2023 | — | volatile |
| 85 | Honduras | 1 1000 t | 2023 | — | volatile |
| 85 | Israel | 1 1000 t | 2023 | unchanged | rising |
| 85 | Kazakhstan | 1 1000 t | 2023 | down 50.0% | falling |
| 85 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | rising |
| 85 | Saint Kitts and Nevis | 1 1000 t | 2023 | — | volatile |
| 85 | Lithuania | 1 1000 t | 2023 | unchanged | volatile |
| 85 | Norway | 1 1000 t | 2023 | down 50.0% | flat |
| 85 | Nepal | 1 1000 t | 2023 | — | volatile |
| 85 | Panama | 1 1000 t | 2023 | — | volatile |
| 85 | Qatar | 1 1000 t | 2023 | — | flat |
| 85 | Slovakia | 1 1000 t | 2023 | — | volatile |
| 85 | Samoa | 1 1000 t | 2023 | down 50.0% | volatile |
| 85 | Yemen | 1 1000 t | 2023 | unchanged | falling |
| 85 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | flat |
| 85 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | volatile |
| 109 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 109 | Angola | 0 1000 t | 2023 | — | volatile |
| 109 | Albania | 0 1000 t | 2023 | — | flat |
| 109 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 109 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Bahamas | 0 1000 t | 2023 | — | flat |
| 109 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 109 | Belize | 0 1000 t | 2023 | — | flat |
| 109 | Barbados | 0 1000 t | 2023 | — | flat |
| 109 | Bhutan | 0 1000 t | 2023 | — | flat |
| 109 | Botswana | 0 1000 t | 2023 | — | flat |
| 109 | Chile | 0 1000 t | 2023 | — | volatile |
| 109 | Congo | 0 1000 t | 2023 | — | flat |
| 109 | Comoros | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 109 | Cuba | 0 1000 t | 2019 | — | flat |
| 109 | Cyprus | 0 1000 t | 2023 | — | flat |
| 109 | Djibouti | 0 1000 t | 2023 | — | flat |
| 109 | Estonia | 0 1000 t | 2023 | — | flat |
| 109 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 109 | Gabon | 0 1000 t | 2023 | — | flat |
| 109 | Gambia | 0 1000 t | 2023 | — | flat |
| 109 | Guatemala | 0 1000 t | 2023 | — | flat |
| 109 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Haiti | 0 1000 t | 2023 | — | flat |
| 109 | Iceland | 0 1000 t | 2023 | — | flat |
| 109 | Liberia | 0 1000 t | 2023 | — | flat |
| 109 | Libya | 0 1000 t | 2023 | — | volatile |
| 109 | Saint Lucia | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Lesotho | 0 1000 t | 2023 | — | flat |
| 109 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 109 | Latvia | 0 1000 t | 2023 | — | flat |
| 109 | Morocco | 0 1000 t | 2023 | — | volatile |
| 109 | Maldives | 0 1000 t | 2023 | — | flat |
| 109 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 109 | Malta | 0 1000 t | 2023 | — | flat |
| 109 | Myanmar | 0 1000 t | 2023 | — | flat |
| 109 | Montenegro | 0 1000 t | 2023 | — | flat |
| 109 | Mongolia | 0 1000 t | 2023 | — | flat |
| 109 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 109 | Mauritius | 0 1000 t | 2023 | — | flat |
| 109 | Malawi | 0 1000 t | 2023 | — | volatile |
| 109 | Namibia | 0 1000 t | 2023 | — | flat |
| 109 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 109 | Niger | 0 1000 t | 2023 | — | flat |
| 109 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Nauru | 0 1000 t | 2023 | — | flat |
| 109 | Peru | 0 1000 t | 2023 | — | flat |
| 109 | Paraguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 109 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 109 | Rwanda | 0 1000 t | 2023 | — | flat |
| 109 | Senegal | 0 1000 t | 2023 | — | flat |
| 109 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 109 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 109 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 109 | Seychelles | 0 1000 t | 2023 | — | flat |
| 109 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 109 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 109 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 109 | Uganda | 0 1000 t | 2023 | — | volatile |
| 109 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 109 | Zambia | 0 1000 t | 2023 | — | flat |
| 109 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 109 | Timor-Leste | 0 1000 t | 2023 | down 100.0% | flat |
| 109 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 109 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 109 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 109 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 109 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 109 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 109 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 182 | Uruguay | -1 1000 t | 2023 | down 200.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2,921 1000 t
- Asia 1,372 1000 t
- Europe 748 1000 t
- European Union (27) 681 1000 t
- Americas 641 1000 t
- South-Eastern Asia 534 1000 t
- Southern Asia 488 1000 t
- Western Europe 480 1000 t
- Northern America 447 1000 t
- United States of America 431 1000 t
- Net Food Importing Developing Countries (NFIDCs) 299 1000 t
- Eastern Asia 280 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.