Coconut Oil — Protein supply quantity (t) 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 — Protein supply quantity (t) is currently reported for 170 countries. The highest value is 163.89 t in Germany; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 0.01 t, and the mean is 4.2 t.
Over the past decade 32 countries rose and 45 fell. The largest increase was in Luxembourg (up 850.0%), and the largest decrease in Bosnia and Herzegovina (down 100.0%).
Coconut Oil — Protein supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 163.89 t | 2023 | down 45.2% | falling |
| 2 | France | 135.75 t | 2023 | down 6.6% | flat |
| 3 | India | 108.1 t | 2023 | down 49.2% | falling |
| 4 | Sri Lanka | 49 t | 2023 | up 99.5% | rising |
| 5 | Mexico | 25.87 t | 2023 | down 79.8% | falling |
| 6 | Sweden | 25.23 t | 2023 | up 55.0% | rising |
| 7 | Australia and New Zealand | 17.45 t | 2023 | up 64.2% | rising |
| 8 | Türkiye | 17.33 t | 2023 | down 17.2% | volatile |
| 9 | China | 17.23 t | 2023 | up 327.5% | volatile |
| 9 | China, mainland | 17.23 t | 2023 | up 327.5% | volatile |
| 11 | Austria | 15.32 t | 2023 | down 8.0% | falling |
| 12 | Belgium | 14.16 t | 2023 | down 32.3% | falling |
| 13 | Nepal | 12.54 t | 2023 | up 249.3% | volatile |
| 14 | New Zealand | 11.05 t | 2023 | up 595.0% | volatile |
| 15 | Poland | 10.86 t | 2023 | down 81.3% | falling |
| 16 | United Kingdom of Great Britain and Northern Ireland | 8.93 t | 2023 | down 23.1% | volatile |
| 17 | Australia | 6.4 t | 2023 | down 29.2% | falling |
| 19 | Serbia | 4.64 t | 2023 | up 177.8% | volatile |
| 20 | Republic of Moldova | 4.33 t | 2023 | up 157.7% | volatile |
| 21 | Pakistan | 4.25 t | 2023 | down 79.8% | volatile |
| 22 | Republic of Korea | 3.58 t | 2023 | down 1.9% | flat |
| 23 | Jamaica | 3.46 t | 2023 | up 7.8% | volatile |
| 24 | Kyrgyzstan | 3.28 t | 2023 | up 285.9% | volatile |
| 25 | Armenia | 3.13 t | 2023 | down 15.6% | falling |
| 26 | Norway | 3.06 t | 2023 | down 49.8% | volatile |
| 27 | Bulgaria | 2.4 t | 2023 | up 179.1% | volatile |
| 28 | Czechia | 2.26 t | 2023 | up 153.9% | rising |
| 29 | Romania | 2.04 t | 2023 | down 8.9% | falling |
| 30 | Melanesia | 1.86 t | 2023 | down 33.3% | rising |
| 31 | Kazakhstan | 1.41 t | 2023 | down 45.1% | falling |
| 32 | Cambodia | 1.14 t | 2023 | up 16.3% | rising |
| 33 | Polynesia | 1.13 t | 2023 | up 2.7% | falling |
| 34 | Samoa | 1.07 t | 2023 | down 2.7% | volatile |
| 35 | Fiji | 1 t | 2023 | down 2.0% | volatile |
| 36 | Libya | 0.99 t | 2023 | up 50.0% | volatile |
| 37 | Algeria | 0.87 t | 2023 | — | volatile |
| 38 | Portugal | 0.85 t | 2023 | — | volatile |
| 39 | Finland | 0.82 t | 2022 | down 88.7% | volatile |
| 40 | Qatar | 0.65 t | 2023 | — | flat |
| 41 | Belarus | 0.62 t | 2023 | down 50.0% | falling |
| 42 | Lebanon | 0.61 t | 2023 | up 369.2% | volatile |
| 43 | Ireland | 0.6 t | 2023 | down 85.2% | volatile |
| 44 | Latvia | 0.55 t | 2023 | up 323.1% | volatile |
| 45 | Papua New Guinea | 0.54 t | 2023 | down 61.4% | volatile |
| 46 | Dominican Republic | 0.49 t | 2023 | up 122.7% | rising |
| 47 | Saudi Arabia | 0.4 t | 2023 | up 300.0% | volatile |
| 48 | Panama | 0.36 t | 2023 | up 620.0% | volatile |
| 49 | Philippines | 0.33 t | 2023 | down 87.0% | volatile |
| 50 | Israel | 0.31 t | 2023 | up 287.5% | volatile |
| 51 | Bahrain | 0.3 t | 2023 | — | falling |
| 52 | Bahamas | 0.29 t | 2023 | down 40.8% | volatile |
| 53 | Hungary | 0.27 t | 2023 | down 79.1% | volatile |
| 53 | Mozambique | 0.27 t | 2023 | up 92.9% | rising |
| 55 | North Macedonia | 0.26 t | 2023 | — | volatile |
| 56 | Albania | 0.24 t | 2023 | — | volatile |
| 57 | Solomon Islands | 0.23 t | 2023 | up 64.3% | rising |
| 58 | Chile | 0.21 t | 2023 | up 600.0% | volatile |
| 59 | Brazil | 0.19 t | 2023 | — | volatile |
| 59 | Luxembourg | 0.19 t | 2023 | up 850.0% | volatile |
| 61 | Grenada | 0.18 t | 2023 | down 45.5% | falling |
| 62 | Iran (Islamic Republic of) | 0.15 t | 2023 | down 34.8% | falling |
| 63 | Saint Vincent and the Grenadines | 0.12 t | 2023 | — | volatile |
| 64 | Guyana | 0.11 t | 2023 | down 42.1% | volatile |
| 64 | Lao People's Democratic Republic | 0.11 t | 2023 | — | volatile |
| 66 | Vanuatu | 0.09 t | 2023 | down 59.1% | falling |
| 67 | Antigua and Barbuda | 0.08 t | 2023 | up 166.7% | volatile |
| 68 | Guinea-Bissau | 0.07 t | 2023 | — | volatile |
| 68 | Oman | 0.07 t | 2023 | up 600.0% | volatile |
| 70 | Saint Kitts and Nevis | 0.06 t | 2023 | down 60.0% | volatile |
| 70 | Tonga | 0.06 t | 2023 | — | volatile |
| 70 | Yemen | 0.06 t | 2023 | up 200.0% | volatile |
| 73 | Suriname | 0.05 t | 2023 | up 66.7% | volatile |
| 74 | Malta | 0.04 t | 2023 | up 33.3% | falling |
| 74 | Montenegro | 0.04 t | 2023 | — | volatile |
| 74 | Mauritius | 0.04 t | 2023 | — | volatile |
| 77 | Cyprus | 0.03 t | 2023 | — | volatile |
| 77 | Marshall Islands | 0.03 t | 2023 | — | flat |
| 77 | Mongolia | 0.03 t | 2023 | up 200.0% | volatile |
| 77 | Micronesia | 0.03 t | 2023 | — | volatile |
| 81 | Lesotho | 0.01 t | 2023 | — | volatile |
| 81 | Morocco | 0.01 t | 2023 | — | volatile |
| 81 | Namibia | 0.01 t | 2023 | — | volatile |
| 81 | Nicaragua | 0.01 t | 2023 | down 87.5% | volatile |
| 81 | Paraguay | 0.01 t | 2023 | — | volatile |
| 81 | Seychelles | 0.01 t | 2023 | — | volatile |
| 81 | Zambia | 0.01 t | 2023 | down 66.7% | volatile |
| 81 | Cabo Verde | 0.01 t | 2023 | — | volatile |
| 81 | Micronesia (Federated States of) | 0.01 t | 2023 | — | volatile |
| 90 | Afghanistan | 0 t | 2023 | — | flat |
| 90 | Angola | 0 t | 2023 | — | flat |
| 90 | United Arab Emirates | 0 t | 2023 | — | flat |
| 90 | Argentina | 0 t | 2023 | — | flat |
| 90 | Azerbaijan | 0 t | 2023 | — | flat |
| 90 | Burkina Faso | 0 t | 2023 | — | flat |
| 90 | Bangladesh | 0 t | 2023 | — | flat |
| 90 | Bosnia and Herzegovina | 0 t | 2023 | down 100.0% | volatile |
| 90 | Belize | 0 t | 2023 | down 100.0% | volatile |
| 90 | Barbados | 0 t | 2023 | — | flat |
| 90 | Bhutan | 0 t | 2023 | — | flat |
| 90 | Botswana | 0 t | 2023 | — | volatile |
| 90 | Canada | 0 t | 2023 | — | volatile |
| 90 | Switzerland | 0 t | 2023 | down 100.0% | volatile |
| 90 | Cameroon | 0 t | 2023 | — | flat |
| 90 | Congo | 0 t | 2023 | — | flat |
| 90 | Colombia | 0 t | 2023 | — | flat |
| 90 | Comoros | 0 t | 2023 | — | flat |
| 90 | Costa Rica | 0 t | 2023 | — | volatile |
| 90 | Cuba | 0 t | 2019 | down 100.0% | volatile |
| 90 | Djibouti | 0 t | 2023 | — | flat |
| 90 | Denmark | 0 t | 2023 | — | flat |
| 90 | Egypt | 0 t | 2023 | — | flat |
| 90 | Estonia | 0 t | 2023 | down 100.0% | volatile |
| 90 | Ethiopia | 0 t | 2023 | — | volatile |
| 90 | Gabon | 0 t | 2023 | — | flat |
| 90 | Georgia | 0 t | 2023 | down 100.0% | volatile |
| 90 | Ghana | 0 t | 2023 | down 100.0% | volatile |
| 90 | Guinea | 0 t | 2023 | — | flat |
| 90 | Greece | 0 t | 2023 | — | volatile |
| 90 | Honduras | 0 t | 2023 | — | flat |
| 90 | Croatia | 0 t | 2023 | — | flat |
| 90 | Haiti | 0 t | 2023 | — | flat |
| 90 | Indonesia | 0 t | 2023 | — | flat |
| 90 | Iraq | 0 t | 2023 | — | flat |
| 90 | Iceland | 0 t | 2023 | down 100.0% | volatile |
| 90 | Jordan | 0 t | 2023 | — | flat |
| 90 | Kenya | 0 t | 2023 | — | flat |
| 90 | Kiribati | 0 t | 2023 | — | flat |
| 90 | Liberia | 0 t | 2023 | — | flat |
| 90 | Saint Lucia | 0 t | 2023 | — | flat |
| 90 | Lithuania | 0 t | 2023 | — | flat |
| 90 | Madagascar | 0 t | 2023 | — | flat |
| 90 | Maldives | 0 t | 2023 | — | flat |
| 90 | Myanmar | 0 t | 2023 | — | flat |
| 90 | Mauritania | 0 t | 2023 | — | flat |
| 90 | Malawi | 0 t | 2023 | down 100.0% | volatile |
| 90 | Malaysia | 0 t | 2023 | — | flat |
| 90 | New Caledonia | 0 t | 2023 | — | volatile |
| 90 | Niger | 0 t | 2023 | — | flat |
| 90 | Nigeria | 0 t | 2023 | — | flat |
| 90 | Nauru | 0 t | 2023 | — | flat |
| 90 | Peru | 0 t | 2023 | — | flat |
| 90 | French Polynesia | 0 t | 2023 | — | flat |
| 90 | Rwanda | 0 t | 2023 | — | flat |
| 90 | Senegal | 0 t | 2023 | — | flat |
| 90 | Sierra Leone | 0 t | 2023 | — | flat |
| 90 | El Salvador | 0 t | 2023 | down 100.0% | volatile |
| 90 | Sao Tome and Principe | 0 t | 2023 | — | flat |
| 90 | Eswatini | 0 t | 2023 | — | volatile |
| 90 | Thailand | 0 t | 2023 | — | flat |
| 90 | Tajikistan | 0 t | 2023 | — | flat |
| 90 | Turkmenistan | 0 t | 2023 | down 100.0% | volatile |
| 90 | Trinidad and Tobago | 0 t | 2023 | — | flat |
| 90 | Tunisia | 0 t | 2023 | — | flat |
| 90 | Tuvalu | 0 t | 2023 | — | flat |
| 90 | Uganda | 0 t | 2023 | — | volatile |
| 90 | Uzbekistan | 0 t | 2023 | — | flat |
| 90 | Zimbabwe | 0 t | 2023 | — | flat |
| 90 | Timor-Leste | 0 t | 2023 | — | volatile |
| 90 | Democratic Republic of the Congo | 0 t | 2023 | down 100.0% | volatile |
| 90 | Bolivia (Plurinational State of) | 0 t | 2023 | — | flat |
| 90 | China, Hong Kong SAR | 0 t | 2023 | — | flat |
| 90 | Russian Federation | 0 t | 2023 | — | flat |
| 90 | Syrian Arab Republic | 0 t | 2023 | — | volatile |
| 90 | Venezuela (Bolivarian Republic of) | 0 t | 2023 | — | flat |
| 90 | Viet Nam | 0 t | 2023 | — | flat |
| 90 | Côte d'Ivoire | 0 t | 2023 | — | flat |
| 90 | United Republic of Tanzania | 0 t | 2023 | — | flat |
| 90 | China, Taiwan Province of | 0 t | 2023 | — | flat |
| 90 | Democratic People's Republic of Korea | 0 t | 2018 | — | flat |
| 90 | China, Macao SAR | 0 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 717.9 t
- Europe 396.54 t
- European Union (27) 374.44 t
- Western Europe 329.31 t
- Asia 224.07 t
- Southern Asia 174.05 t
- Americas 74.5 t
- Net Food Importing Developing Countries (NFIDCs) 73.32 t
- Northern America 43.02 t
- United States of America 43.02 t
- Northern Europe 38.37 t
- Central America 26.25 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.