Coconut Oil — Import 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 — Import quantity is currently reported for 179 countries. The highest value is 370 1000 t in Netherlands (Kingdom of the); the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 11.64 1000 t.
Over the past decade 32 countries rose and 26 fell. The largest increase was in Indonesia (up 2,400.0%), and the largest decrease in Armenia (down 100.0%).
Coconut Oil — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Netherlands (Kingdom of the) | 370 1000 t | 2023 | down 14.4% | flat |
| 2 | Malaysia | 262 1000 t | 2023 | up 65.8% | rising |
| 3 | Germany | 215 1000 t | 2023 | down 19.8% | falling |
| 4 | China | 189 1000 t | 2023 | up 35.0% | falling |
| 5 | China, mainland | 182 1000 t | 2023 | up 38.9% | falling |
| 6 | Sri Lanka | 95 1000 t | 2023 | up 1,483.3% | volatile |
| 7 | Spain | 91 1000 t | 2023 | up 225.0% | rising |
| 8 | Italy | 89 1000 t | 2023 | up 25.4% | rising |
| 9 | Republic of Korea | 51 1000 t | 2023 | down 16.4% | falling |
| 10 | Indonesia | 50 1000 t | 2023 | up 2,400.0% | volatile |
| 11 | France | 49 1000 t | 2023 | down 9.3% | rising |
| 12 | Belgium | 41 1000 t | 2023 | down 16.3% | flat |
| 13 | Türkiye | 31 1000 t | 2023 | up 40.9% | rising |
| 14 | Russian Federation | 29 1000 t | 2023 | down 31.0% | falling |
| 15 | Poland | 28 1000 t | 2023 | up 16.7% | rising |
| 16 | Canada | 22 1000 t | 2023 | up 15.8% | rising |
| 16 | Sweden | 22 1000 t | 2023 | up 57.1% | rising |
| 18 | United Kingdom of Great Britain and Northern Ireland | 20 1000 t | 2023 | down 9.1% | rising |
| 19 | Australia and New Zealand | 18 1000 t | 2023 | down 10.0% | rising |
| 20 | Greece | 14 1000 t | 2023 | up 600.0% | volatile |
| 21 | United Arab Emirates | 13 1000 t | 2023 | up 225.0% | rising |
| 21 | Iran (Islamic Republic of) | 13 1000 t | 2023 | up 160.0% | rising |
| 23 | Australia | 11 1000 t | 2023 | down 26.7% | falling |
| 23 | Austria | 11 1000 t | 2023 | up 22.2% | rising |
| 23 | Philippines | 11 1000 t | 2023 | — | volatile |
| 26 | Switzerland | 9 1000 t | 2023 | up 28.6% | rising |
| 27 | New Zealand | 8 1000 t | 2023 | up 60.0% | rising |
| 27 | Uzbekistan | 8 1000 t | 2023 | up 166.7% | rising |
| 29 | Saudi Arabia | 6 1000 t | 2023 | up 100.0% | volatile |
| 29 | Ukraine | 6 1000 t | 2023 | down 57.1% | falling |
| 29 | China, Taiwan Province of | 6 1000 t | 2023 | down 25.0% | falling |
| 32 | Ireland | 5 1000 t | 2023 | down 37.5% | falling |
| 32 | Kuwait | 5 1000 t | 2023 | up 400.0% | volatile |
| 32 | Pakistan | 5 1000 t | 2023 | down 16.7% | falling |
| 32 | Slovenia | 5 1000 t | 2023 | up 400.0% | volatile |
| 32 | Thailand | 5 1000 t | 2023 | up 150.0% | volatile |
| 37 | Brazil | 4 1000 t | 2023 | — | volatile |
| 37 | Denmark | 4 1000 t | 2023 | unchanged | rising |
| 37 | Egypt | 4 1000 t | 2023 | up 33.3% | falling |
| 37 | Hungary | 4 1000 t | 2023 | up 100.0% | rising |
| 37 | Iraq | 4 1000 t | 2023 | — | volatile |
| 37 | Tunisia | 4 1000 t | 2023 | down 33.3% | rising |
| 37 | Caribbean | 4 1000 t | 2023 | up 100.0% | rising |
| 37 | Viet Nam | 4 1000 t | 2023 | up 100.0% | volatile |
| 45 | Czechia | 3 1000 t | 2023 | unchanged | rising |
| 45 | Algeria | 3 1000 t | 2023 | up 200.0% | rising |
| 45 | Lebanon | 3 1000 t | 2023 | up 50.0% | flat |
| 45 | Romania | 3 1000 t | 2023 | unchanged | falling |
| 49 | Argentina | 2 1000 t | 2023 | down 50.0% | falling |
| 49 | Bulgaria | 2 1000 t | 2023 | unchanged | rising |
| 49 | Croatia | 2 1000 t | 2023 | unchanged | rising |
| 49 | Jordan | 2 1000 t | 2023 | — | volatile |
| 49 | Kenya | 2 1000 t | 2023 | — | volatile |
| 49 | Lithuania | 2 1000 t | 2023 | up 100.0% | rising |
| 49 | Madagascar | 2 1000 t | 2023 | up 100.0% | volatile |
| 49 | Oman | 2 1000 t | 2023 | up 100.0% | rising |
| 49 | Portugal | 2 1000 t | 2023 | unchanged | rising |
| 49 | Serbia | 2 1000 t | 2023 | unchanged | rising |
| 49 | Slovakia | 2 1000 t | 2023 | — | volatile |
| 49 | Trinidad and Tobago | 2 1000 t | 2023 | up 100.0% | volatile |
| 61 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 61 | Bangladesh | 1 1000 t | 2023 | down 90.0% | volatile |
| 61 | Bahrain | 1 1000 t | 2023 | — | flat |
| 61 | Belarus | 1 1000 t | 2023 | unchanged | falling |
| 61 | Colombia | 1 1000 t | 2023 | — | volatile |
| 61 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 61 | Finland | 1 1000 t | 2023 | unchanged | falling |
| 61 | Fiji | 1 1000 t | 2023 | — | volatile |
| 61 | Georgia | 1 1000 t | 2023 | — | volatile |
| 61 | Israel | 1 1000 t | 2023 | unchanged | rising |
| 61 | Jamaica | 1 1000 t | 2023 | — | volatile |
| 61 | Kazakhstan | 1 1000 t | 2023 | down 50.0% | falling |
| 61 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | rising |
| 61 | Mexico | 1 1000 t | 2023 | down 66.7% | volatile |
| 61 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 61 | Norway | 1 1000 t | 2023 | down 50.0% | falling |
| 61 | Qatar | 1 1000 t | 2023 | — | flat |
| 61 | Yemen | 1 1000 t | 2023 | unchanged | falling |
| 61 | Melanesia | 1 1000 t | 2023 | — | volatile |
| 61 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | falling |
| 61 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 82 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 82 | Angola | 0 1000 t | 2023 | — | volatile |
| 82 | Albania | 0 1000 t | 2023 | — | flat |
| 82 | Armenia | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 82 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Bahamas | 0 1000 t | 2023 | — | flat |
| 82 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 82 | Belize | 0 1000 t | 2022 | — | flat |
| 82 | Barbados | 0 1000 t | 2023 | — | flat |
| 82 | Bhutan | 0 1000 t | 2023 | — | flat |
| 82 | Botswana | 0 1000 t | 2023 | — | flat |
| 82 | Chile | 0 1000 t | 2023 | — | volatile |
| 82 | Cameroon | 0 1000 t | 2023 | — | flat |
| 82 | Congo | 0 1000 t | 2023 | — | flat |
| 82 | Comoros | 0 1000 t | 2022 | — | flat |
| 82 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 82 | Cuba | 0 1000 t | 2018 | — | flat |
| 82 | Cyprus | 0 1000 t | 2023 | — | flat |
| 82 | Djibouti | 0 1000 t | 2023 | — | flat |
| 82 | Ecuador | 0 1000 t | 2023 | — | flat |
| 82 | Estonia | 0 1000 t | 2023 | — | flat |
| 82 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 82 | Gabon | 0 1000 t | 2023 | — | flat |
| 82 | Ghana | 0 1000 t | 2023 | — | flat |
| 82 | Guinea | 0 1000 t | 2023 | — | flat |
| 82 | Gambia | 0 1000 t | 2023 | — | flat |
| 82 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 82 | Grenada | 0 1000 t | 2023 | — | flat |
| 82 | Guatemala | 0 1000 t | 2023 | — | flat |
| 82 | Guyana | 0 1000 t | 2023 | — | flat |
| 82 | Honduras | 0 1000 t | 2023 | — | flat |
| 82 | Haiti | 0 1000 t | 2023 | — | flat |
| 82 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Iceland | 0 1000 t | 2023 | — | flat |
| 82 | Cambodia | 0 1000 t | 2023 | — | flat |
| 82 | Kiribati | 0 1000 t | 2023 | — | flat |
| 82 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 82 | Liberia | 0 1000 t | 2023 | — | flat |
| 82 | Libya | 0 1000 t | 2023 | — | volatile |
| 82 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 82 | Lesotho | 0 1000 t | 2023 | — | flat |
| 82 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 82 | Latvia | 0 1000 t | 2023 | — | flat |
| 82 | Morocco | 0 1000 t | 2023 | — | volatile |
| 82 | Maldives | 0 1000 t | 2023 | — | flat |
| 82 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 82 | Malta | 0 1000 t | 2023 | — | flat |
| 82 | Myanmar | 0 1000 t | 2022 | — | flat |
| 82 | Montenegro | 0 1000 t | 2023 | — | flat |
| 82 | Mongolia | 0 1000 t | 2023 | — | flat |
| 82 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 82 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 82 | Mauritius | 0 1000 t | 2023 | — | flat |
| 82 | Malawi | 0 1000 t | 2023 | — | volatile |
| 82 | Namibia | 0 1000 t | 2023 | — | flat |
| 82 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 82 | Niger | 0 1000 t | 2023 | — | flat |
| 82 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 82 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Nauru | 0 1000 t | 2023 | — | flat |
| 82 | Panama | 0 1000 t | 2023 | — | flat |
| 82 | Peru | 0 1000 t | 2023 | — | flat |
| 82 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 82 | Paraguay | 0 1000 t | 2023 | — | flat |
| 82 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 82 | Rwanda | 0 1000 t | 2023 | — | flat |
| 82 | Senegal | 0 1000 t | 2023 | — | volatile |
| 82 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 82 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 82 | El Salvador | 0 1000 t | 2023 | — | flat |
| 82 | Suriname | 0 1000 t | 2023 | — | flat |
| 82 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Seychelles | 0 1000 t | 2023 | — | flat |
| 82 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 82 | Turkmenistan | 0 1000 t | 2022 | — | flat |
| 82 | Tonga | 0 1000 t | 2023 | — | flat |
| 82 | Uganda | 0 1000 t | 2023 | — | volatile |
| 82 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 82 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 82 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 82 | Samoa | 0 1000 t | 2023 | — | flat |
| 82 | Zambia | 0 1000 t | 2023 | — | flat |
| 82 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 82 | Micronesia | 0 1000 t | 2023 | — | flat |
| 82 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 82 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 82 | Polynesia | 0 1000 t | 2023 | — | flat |
| 82 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 82 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 82 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 82 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 82 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 82 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 82 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 82 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 82 | China, Macao SAR | 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 2,339 1000 t
- Europe 1,031 1000 t
- European Union (27) 963 1000 t
- Asia 812 1000 t
- Western Europe 694 1000 t
- Americas 451 1000 t
- Northern America 437 1000 t
- United States of America 415 1000 t
- South-eastern Asia 332 1000 t
- Eastern Asia 279 1000 t
- Southern Europe 205 1000 t
- Net Food Importing Developing Countries (NFIDCs) 128 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.