Coconut Oil — Export 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 — Export quantity is currently reported for 135 countries. The highest value is 1,129 1000 t in Philippines; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 0 1000 t, and the mean is 18.47 1000 t.
Over the past decade 17 countries rose and 14 fell. The largest increase was in Sweden (up 500.0%), and the largest decrease in Austria (down 100.0%).
Coconut Oil — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Philippines | 1,129 1000 t | 2023 | up 4.4% | rising |
| 2 | Indonesia | 740 1000 t | 2023 | up 17.3% | flat |
| 3 | Netherlands (Kingdom of the) | 186 1000 t | 2023 | down 17.3% | rising |
| 4 | Malaysia | 166 1000 t | 2023 | up 26.7% | rising |
| 5 | Melanesia | 43 1000 t | 2023 | up 65.4% | falling |
| 6 | Papua New Guinea | 35 1000 t | 2023 | up 118.8% | flat |
| 7 | Spain | 29 1000 t | 2023 | up 262.5% | volatile |
| 8 | Germany | 27 1000 t | 2023 | up 58.8% | rising |
| 9 | Italy | 23 1000 t | 2023 | up 283.3% | volatile |
| 10 | Sri Lanka | 21 1000 t | 2023 | up 425.0% | volatile |
| 11 | India | 16 1000 t | 2023 | up 128.6% | volatile |
| 12 | Türkiye | 12 1000 t | 2023 | — | volatile |
| 13 | Viet Nam | 7 1000 t | 2023 | up 250.0% | volatile |
| 14 | Canada | 6 1000 t | 2023 | up 50.0% | rising |
| 14 | Solomon Islands | 6 1000 t | 2023 | up 200.0% | volatile |
| 14 | Sweden | 6 1000 t | 2023 | up 500.0% | volatile |
| 17 | France | 5 1000 t | 2023 | up 66.7% | rising |
| 17 | Polynesia | 5 1000 t | 2023 | down 44.4% | falling |
| 19 | Belgium | 4 1000 t | 2023 | up 300.0% | rising |
| 19 | Greece | 4 1000 t | 2023 | — | volatile |
| 19 | French Polynesia | 4 1000 t | 2023 | down 33.3% | falling |
| 22 | Côte d'Ivoire | 3 1000 t | 2023 | down 50.0% | falling |
| 23 | Fiji | 2 1000 t | 2023 | up 100.0% | falling |
| 23 | Slovenia | 2 1000 t | 2023 | — | volatile |
| 25 | United Arab Emirates | 1 1000 t | 2023 | — | volatile |
| 25 | Czechia | 1 1000 t | 2023 | — | volatile |
| 25 | Kiribati | 1 1000 t | 2023 | down 66.7% | volatile |
| 25 | Mozambique | 1 1000 t | 2023 | down 50.0% | volatile |
| 25 | Poland | 1 1000 t | 2023 | — | volatile |
| 25 | Thailand | 1 1000 t | 2023 | unchanged | volatile |
| 25 | Trinidad and Tobago | 1 1000 t | 2023 | — | volatile |
| 25 | Uruguay | 1 1000 t | 2023 | — | volatile |
| 25 | Samoa | 1 1000 t | 2023 | down 66.7% | volatile |
| 25 | Micronesia | 1 1000 t | 2023 | down 66.7% | volatile |
| 25 | Caribbean | 1 1000 t | 2023 | unchanged | rising |
| 25 | Russian Federation | 1 1000 t | 2023 | — | volatile |
| 25 | United Kingdom of Great Britain and Northern Ireland | 1 1000 t | 2023 | — | volatile |
| 38 | Argentina | 0 1000 t | 2017 | — | flat |
| 38 | Australia | 0 1000 t | 2023 | — | volatile |
| 38 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 38 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 38 | Bulgaria | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Bahrain | 0 1000 t | 2023 | — | flat |
| 38 | Bosnia and Herzegovina | 0 1000 t | 2021 | — | flat |
| 38 | Belarus | 0 1000 t | 2023 | — | flat |
| 38 | Belize | 0 1000 t | 2023 | — | flat |
| 38 | Brazil | 0 1000 t | 2023 | — | flat |
| 38 | Barbados | 0 1000 t | 2023 | — | flat |
| 38 | Botswana | 0 1000 t | 2023 | — | flat |
| 38 | Switzerland | 0 1000 t | 2023 | — | flat |
| 38 | Chile | 0 1000 t | 2023 | — | flat |
| 38 | China | 0 1000 t | 2023 | — | flat |
| 38 | Cameroon | 0 1000 t | 2023 | — | flat |
| 38 | Colombia | 0 1000 t | 2023 | — | flat |
| 38 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 38 | Cyprus | 0 1000 t | 2020 | — | flat |
| 38 | Denmark | 0 1000 t | 2023 | — | flat |
| 38 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 38 | Algeria | 0 1000 t | 2018 | — | flat |
| 38 | Ecuador | 0 1000 t | 2023 | — | flat |
| 38 | Egypt | 0 1000 t | 2023 | — | flat |
| 38 | Estonia | 0 1000 t | 2023 | — | flat |
| 38 | Finland | 0 1000 t | 2023 | — | flat |
| 38 | Georgia | 0 1000 t | 2023 | — | volatile |
| 38 | Ghana | 0 1000 t | 2023 | — | volatile |
| 38 | Guinea | 0 1000 t | 2023 | — | flat |
| 38 | Guatemala | 0 1000 t | 2023 | — | flat |
| 38 | Guyana | 0 1000 t | 2023 | — | volatile |
| 38 | Honduras | 0 1000 t | 2023 | — | volatile |
| 38 | Croatia | 0 1000 t | 2023 | — | flat |
| 38 | Hungary | 0 1000 t | 2023 | — | flat |
| 38 | Ireland | 0 1000 t | 2023 | — | flat |
| 38 | Israel | 0 1000 t | 2022 | — | flat |
| 38 | Jamaica | 0 1000 t | 2023 | — | flat |
| 38 | Jordan | 0 1000 t | 2022 | — | flat |
| 38 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 38 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Cambodia | 0 1000 t | 2023 | — | flat |
| 38 | Kuwait | 0 1000 t | 2023 | — | flat |
| 38 | Lebanon | 0 1000 t | 2023 | — | flat |
| 38 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 38 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 38 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 38 | Latvia | 0 1000 t | 2023 | — | flat |
| 38 | Morocco | 0 1000 t | 2022 | — | flat |
| 38 | Madagascar | 0 1000 t | 2023 | — | flat |
| 38 | Mexico | 0 1000 t | 2023 | — | volatile |
| 38 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 38 | Malta | 0 1000 t | 2023 | — | flat |
| 38 | Myanmar | 0 1000 t | 2022 | — | flat |
| 38 | Mauritius | 0 1000 t | 2023 | — | flat |
| 38 | Malawi | 0 1000 t | 2017 | — | flat |
| 38 | Namibia | 0 1000 t | 2023 | — | flat |
| 38 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 38 | Nigeria | 0 1000 t | 2023 | — | flat |
| 38 | Nicaragua | 0 1000 t | 2020 | — | flat |
| 38 | Norway | 0 1000 t | 2023 | — | flat |
| 38 | Nepal | 0 1000 t | 2023 | — | flat |
| 38 | New Zealand | 0 1000 t | 2023 | — | flat |
| 38 | Oman | 0 1000 t | 2023 | — | volatile |
| 38 | Pakistan | 0 1000 t | 2023 | — | flat |
| 38 | Peru | 0 1000 t | 2023 | — | flat |
| 38 | Portugal | 0 1000 t | 2023 | — | flat |
| 38 | Paraguay | 0 1000 t | 2017 | — | volatile |
| 38 | Romania | 0 1000 t | 2023 | — | flat |
| 38 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Senegal | 0 1000 t | 2021 | — | flat |
| 38 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 38 | El Salvador | 0 1000 t | 2023 | — | flat |
| 38 | Serbia | 0 1000 t | 2023 | — | flat |
| 38 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 38 | Suriname | 0 1000 t | 2023 | — | flat |
| 38 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 38 | Eswatini | 0 1000 t | 2020 | — | flat |
| 38 | Seychelles | 0 1000 t | 2021 | — | flat |
| 38 | Tonga | 0 1000 t | 2023 | — | flat |
| 38 | Tunisia | 0 1000 t | 2023 | — | flat |
| 38 | Uganda | 0 1000 t | 2023 | — | flat |
| 38 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 38 | Vanuatu | 0 1000 t | 2023 | down 100.0% | volatile |
| 38 | Yemen | 0 1000 t | 2023 | — | flat |
| 38 | Timor-Leste | 0 1000 t | 2021 | — | flat |
| 38 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 38 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 38 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 38 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 38 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 38 | Syrian Arab Republic | 0 1000 t | 2021 | — | flat |
| 38 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 38 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 38 | China, mainland | 0 1000 t | 2023 | — | flat |
| 38 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 38 | China, Taiwan Province of | 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 2,469 1000 t
- Asia 2,094 1000 t
- South-eastern Asia 2,043 1000 t
- Europe 293 1000 t
- European Union (27) 291 1000 t
- Western Europe 223 1000 t
- Southern Europe 59 1000 t
- Oceania 50 1000 t
- Small Island Developing States (SIDS) 50 1000 t
- Southern Asia 37 1000 t
- Net Food Importing Developing Countries (NFIDCs) 36 1000 t
- Americas 27 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.