Coconut Oil — Stock Variation 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 — Stock Variation is currently reported for 173 countries. The highest value is 24 1000 t in India; the lowest is -53 1000 t in Indonesia.
The median across all reporting countries is 0 1000 t, and the mean is -0.185 1000 t.
Over the past decade 16 countries rose and 15 fell. The largest increase was in India (up 2,500.0%), and the largest decrease in United Kingdom of Great Britain and Northern Ireland (down 200.0%).
Coconut Oil — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 24 1000 t | 2023 | up 2,500.0% | volatile |
| 2 | Sri Lanka | 11 1000 t | 2023 | — | volatile |
| 3 | Papua New Guinea | 4 1000 t | 2023 | unchanged | volatile |
| 4 | Belgium | 3 1000 t | 2023 | down 50.0% | volatile |
| 4 | Brazil | 3 1000 t | 2023 | up 400.0% | volatile |
| 4 | Melanesia | 3 1000 t | 2023 | down 25.0% | volatile |
| 7 | Pakistan | 2 1000 t | 2023 | up 100.0% | volatile |
| 7 | Samoa | 2 1000 t | 2023 | — | volatile |
| 7 | Polynesia | 2 1000 t | 2023 | — | volatile |
| 10 | Ireland | 1 1000 t | 2023 | — | volatile |
| 10 | Kiribati | 1 1000 t | 2023 | — | volatile |
| 10 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 10 | Sweden | 1 1000 t | 2023 | — | volatile |
| 10 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 10 | Micronesia | 1 1000 t | 2023 | — | volatile |
| 10 | Iran (Islamic Republic of) | 1 1000 t | 2023 | up 150.0% | volatile |
| 10 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 18 | Angola | 0 1000 t | 2023 | — | flat |
| 18 | Albania | 0 1000 t | 2023 | — | flat |
| 18 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Argentina | 0 1000 t | 2023 | — | volatile |
| 18 | Armenia | 0 1000 t | 2023 | — | flat |
| 18 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 18 | Australia | 0 1000 t | 2023 | — | flat |
| 18 | Austria | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 18 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 18 | Bangladesh | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 18 | Bahrain | 0 1000 t | 2023 | — | flat |
| 18 | Bahamas | 0 1000 t | 2023 | — | flat |
| 18 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 18 | Belarus | 0 1000 t | 2023 | — | flat |
| 18 | Belize | 0 1000 t | 2023 | — | flat |
| 18 | Barbados | 0 1000 t | 2023 | — | flat |
| 18 | Bhutan | 0 1000 t | 2023 | — | flat |
| 18 | Botswana | 0 1000 t | 2023 | — | flat |
| 18 | Canada | 0 1000 t | 2023 | — | volatile |
| 18 | Switzerland | 0 1000 t | 2023 | — | flat |
| 18 | Chile | 0 1000 t | 2023 | — | flat |
| 18 | China | 0 1000 t | 2023 | — | flat |
| 18 | Cameroon | 0 1000 t | 2023 | — | flat |
| 18 | Colombia | 0 1000 t | 2023 | — | flat |
| 18 | Comoros | 0 1000 t | 2023 | — | flat |
| 18 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 18 | Cuba | 0 1000 t | 2019 | — | flat |
| 18 | Cyprus | 0 1000 t | 2023 | — | flat |
| 18 | Czechia | 0 1000 t | 2023 | — | flat |
| 18 | Djibouti | 0 1000 t | 2023 | — | flat |
| 18 | Denmark | 0 1000 t | 2023 | — | flat |
| 18 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 18 | Algeria | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Ecuador | 0 1000 t | 2023 | — | flat |
| 18 | Egypt | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Spain | 0 1000 t | 2023 | — | flat |
| 18 | Estonia | 0 1000 t | 2023 | — | flat |
| 18 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 18 | Finland | 0 1000 t | 2023 | — | flat |
| 18 | Fiji | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | France | 0 1000 t | 2023 | — | volatile |
| 18 | Gabon | 0 1000 t | 2023 | — | flat |
| 18 | Georgia | 0 1000 t | 2023 | — | flat |
| 18 | Ghana | 0 1000 t | 2023 | down 100.0% | flat |
| 18 | Guinea | 0 1000 t | 2023 | — | flat |
| 18 | Gambia | 0 1000 t | 2023 | — | flat |
| 18 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 18 | Greece | 0 1000 t | 2023 | — | flat |
| 18 | Grenada | 0 1000 t | 2023 | — | flat |
| 18 | Guatemala | 0 1000 t | 2023 | — | flat |
| 18 | Guyana | 0 1000 t | 2023 | — | flat |
| 18 | Honduras | 0 1000 t | 2023 | — | flat |
| 18 | Croatia | 0 1000 t | 2023 | — | flat |
| 18 | Hungary | 0 1000 t | 2023 | — | flat |
| 18 | Iraq | 0 1000 t | 2023 | — | volatile |
| 18 | Iceland | 0 1000 t | 2023 | — | flat |
| 18 | Israel | 0 1000 t | 2023 | — | flat |
| 18 | Italy | 0 1000 t | 2023 | — | volatile |
| 18 | Jamaica | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Jordan | 0 1000 t | 2023 | — | flat |
| 18 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 18 | Kenya | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 18 | Cambodia | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 18 | Kuwait | 0 1000 t | 2023 | — | flat |
| 18 | Lebanon | 0 1000 t | 2023 | — | flat |
| 18 | Liberia | 0 1000 t | 2023 | — | flat |
| 18 | Libya | 0 1000 t | 2023 | — | flat |
| 18 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 18 | Lithuania | 0 1000 t | 2023 | — | flat |
| 18 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 18 | Latvia | 0 1000 t | 2023 | — | flat |
| 18 | Morocco | 0 1000 t | 2023 | — | volatile |
| 18 | Madagascar | 0 1000 t | 2023 | — | flat |
| 18 | Maldives | 0 1000 t | 2023 | — | flat |
| 18 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 18 | Malta | 0 1000 t | 2023 | — | flat |
| 18 | Myanmar | 0 1000 t | 2023 | — | flat |
| 18 | Montenegro | 0 1000 t | 2023 | — | flat |
| 18 | Mongolia | 0 1000 t | 2023 | — | flat |
| 18 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 18 | Mauritania | 0 1000 t | 2023 | — | flat |
| 18 | Mauritius | 0 1000 t | 2023 | — | flat |
| 18 | Malawi | 0 1000 t | 2023 | — | volatile |
| 18 | Namibia | 0 1000 t | 2023 | — | flat |
| 18 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 18 | Niger | 0 1000 t | 2023 | — | flat |
| 18 | Nigeria | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 18 | Norway | 0 1000 t | 2023 | — | flat |
| 18 | Nepal | 0 1000 t | 2023 | — | flat |
| 18 | Nauru | 0 1000 t | 2023 | — | flat |
| 18 | New Zealand | 0 1000 t | 2023 | — | flat |
| 18 | Oman | 0 1000 t | 2023 | — | flat |
| 18 | Panama | 0 1000 t | 2023 | — | flat |
| 18 | Peru | 0 1000 t | 2023 | — | flat |
| 18 | Portugal | 0 1000 t | 2023 | — | flat |
| 18 | Paraguay | 0 1000 t | 2023 | — | flat |
| 18 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 18 | Qatar | 0 1000 t | 2023 | — | flat |
| 18 | Romania | 0 1000 t | 2023 | — | flat |
| 18 | Rwanda | 0 1000 t | 2023 | — | flat |
| 18 | Senegal | 0 1000 t | 2023 | — | flat |
| 18 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 18 | Serbia | 0 1000 t | 2023 | — | flat |
| 18 | Sao Tome and Principe | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Suriname | 0 1000 t | 2023 | — | flat |
| 18 | Slovakia | 0 1000 t | 2023 | — | flat |
| 18 | Slovenia | 0 1000 t | 2023 | — | flat |
| 18 | Eswatini | 0 1000 t | 2023 | — | flat |
| 18 | Seychelles | 0 1000 t | 2023 | — | flat |
| 18 | Thailand | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Tonga | 0 1000 t | 2023 | — | flat |
| 18 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 18 | Tunisia | 0 1000 t | 2023 | down 100.0% | flat |
| 18 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 18 | Uganda | 0 1000 t | 2023 | — | flat |
| 18 | Ukraine | 0 1000 t | 2023 | — | flat |
| 18 | Uruguay | 0 1000 t | 2023 | — | flat |
| 18 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 18 | Vanuatu | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Yemen | 0 1000 t | 2023 | — | flat |
| 18 | Zambia | 0 1000 t | 2023 | — | flat |
| 18 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 18 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 18 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 18 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 18 | Caribbean | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 18 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 18 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 18 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 18 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 18 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Türkiye | 0 1000 t | 2023 | — | flat |
| 18 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 18 | China, mainland | 0 1000 t | 2023 | — | flat |
| 18 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | flat |
| 18 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 18 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 18 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 18 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 163 | Germany | -1 1000 t | 2023 | — | volatile |
| 163 | Poland | -1 1000 t | 2023 | up 75.0% | volatile |
| 163 | Solomon Islands | -1 1000 t | 2023 | — | volatile |
| 163 | Russian Federation | -1 1000 t | 2023 | — | volatile |
| 163 | Viet Nam | -1 1000 t | 2023 | down 133.3% | volatile |
| 163 | United Kingdom of Great Britain and Northern Ireland | -1 1000 t | 2023 | down 200.0% | volatile |
| 169 | Mexico | -2 1000 t | 2023 | down 100.0% | volatile |
| 170 | Malaysia | -10 1000 t | 2023 | up 66.7% | volatile |
| 171 | Netherlands (Kingdom of the) | -11 1000 t | 2023 | — | volatile |
| 172 | Philippines | -12 1000 t | 2023 | up 84.0% | volatile |
| 173 | Indonesia | -53 1000 t | 2023 | down 96.3% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Southern Asia 38 1000 t
- Net Food Importing Developing Countries (NFIDCs) 16 1000 t
- Oceania 5 1000 t
- Small Island Developing States (SIDS) 5 1000 t
- South America 3 1000 t
- Africa 2 1000 t
- Western Africa 2 1000 t
- Western Asia 2 1000 t
- Central Asia 1 1000 t
- Northern Europe 1 1000 t
- Land Locked Developing Countries (LLDCs) 1 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1 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.