Aquatic Animals, Others — Fat 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
Aquatic Animals, Others — Fat supply quantity (t) is currently reported for 165 countries. The highest value is 14,679 t in China; the lowest is 0 t in Micronesia (Federated States of).
The median across all reporting countries is 0.24 t, and the mean is 190.56 t.
Over the past decade 67 countries rose and 80 fell. The largest increase was in Saudi Arabia (up 133,985.0%), and the largest decrease in Kyrgyzstan (down 100.0%).
Aquatic Animals, Others — Fat supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 14,679 t | 2023 | up 43.0% | rising |
| 2 | China, mainland | 14,536 t | 2023 | up 43.6% | rising |
| 3 | Republic of Korea | 549.13 t | 2023 | up 26.0% | falling |
| 4 | Indonesia | 314.86 t | 2023 | up 273.7% | volatile |
| 5 | Saudi Arabia | 174.31 t | 2023 | up 133,985.0% | volatile |
| 6 | Viet Nam | 143.29 t | 2023 | up 293.0% | volatile |
| 7 | Malaysia | 141.22 t | 2023 | up 68.3% | rising |
| 8 | Russian Federation | 140.87 t | 2023 | up 789.3% | volatile |
| 9 | Mexico | 133.37 t | 2023 | down 49.9% | volatile |
| 10 | Canada | 93.05 t | 2023 | up 38.1% | rising |
| 11 | China, Taiwan Province of | 78.3 t | 2023 | down 30.1% | falling |
| 12 | China, Hong Kong SAR | 60.29 t | 2023 | up 128.5% | rising |
| 13 | Nicaragua | 45.42 t | 2023 | up 2,328.9% | volatile |
| 14 | Chile | 41.01 t | 2023 | up 30.0% | rising |
| 15 | Sri Lanka | 28.6 t | 2023 | down 2.6% | volatile |
| 16 | Australia and New Zealand | 28.16 t | 2023 | down 57.4% | volatile |
| 17 | Thailand | 25.32 t | 2023 | down 96.7% | volatile |
| 18 | Pakistan | 19.88 t | 2023 | up 67.5% | rising |
| 19 | Madagascar | 18.86 t | 2023 | down 49.4% | falling |
| 20 | Myanmar | 18.39 t | 2023 | down 63.6% | volatile |
| 21 | Australia | 16.03 t | 2023 | down 70.9% | volatile |
| 22 | New Zealand | 12.13 t | 2023 | up 10.6% | rising |
| 23 | Philippines | 10.77 t | 2023 | down 32.2% | rising |
| 24 | Peru | 9.52 t | 2023 | up 1,570.2% | volatile |
| 25 | Spain | 9.05 t | 2023 | down 51.2% | volatile |
| 26 | France | 8.51 t | 2023 | down 74.5% | volatile |
| 27 | Germany | 8.33 t | 2023 | up 171.3% | volatile |
| 28 | United Kingdom of Great Britain and Northern Ireland | 6.66 t | 2023 | up 29.3% | rising |
| 29 | Italy | 5.46 t | 2023 | up 63.5% | volatile |
| 30 | Switzerland | 5.09 t | 2023 | up 122.3% | rising |
| 31 | Ukraine | 4.45 t | 2023 | down 28.8% | falling |
| 32 | China, Macao SAR | 4.31 t | 2023 | up 92.4% | rising |
| 33 | Melanesia | 4.19 t | 2023 | up 30.5% | falling |
| 34 | Bulgaria | 4.17 t | 2023 | up 265.8% | volatile |
| 35 | Croatia | 3.8 t | 2023 | up 41.3% | volatile |
| 37 | Cambodia | 3.2 t | 2023 | up 220.0% | volatile |
| 38 | Democratic People's Republic of Korea | 3.08 t | 2018 | up 24.2% | volatile |
| 39 | Denmark | 2.86 t | 2023 | up 164.8% | rising |
| 40 | Bahrain | 2.63 t | 2023 | — | flat |
| 41 | Brazil | 2.3 t | 2023 | down 48.1% | volatile |
| 42 | Polynesia | 2.22 t | 2023 | down 52.4% | volatile |
| 43 | Yemen | 2.15 t | 2023 | up 1.4% | volatile |
| 44 | Samoa | 2.07 t | 2023 | down 55.2% | falling |
| 45 | Romania | 1.93 t | 2023 | up 232.8% | rising |
| 46 | Dominican Republic | 1.91 t | 2023 | up 809.5% | volatile |
| 46 | India | 1.91 t | 2023 | down 44.6% | falling |
| 48 | Belgium | 1.75 t | 2023 | down 66.2% | volatile |
| 49 | Poland | 1.69 t | 2023 | up 1,777.8% | volatile |
| 49 | Lao People's Democratic Republic | 1.69 t | 2023 | up 201.8% | volatile |
| 51 | Kenya | 1.66 t | 2023 | up 213.2% | volatile |
| 52 | Türkiye | 1.45 t | 2023 | down 84.5% | volatile |
| 53 | Lesotho | 1.32 t | 2023 | up 13,100.0% | volatile |
| 54 | Fiji | 1.21 t | 2023 | up 384.0% | volatile |
| 55 | Austria | 1.19 t | 2023 | down 31.6% | volatile |
| 56 | New Caledonia | 1.12 t | 2023 | down 35.3% | falling |
| 57 | Mauritius | 1.1 t | 2023 | down 17.3% | volatile |
| 58 | Netherlands (Kingdom of the) | 1.05 t | 2023 | down 95.9% | volatile |
| 59 | Burkina Faso | 1.03 t | 2023 | up 5,050.0% | volatile |
| 59 | Panama | 1.03 t | 2023 | down 15.6% | volatile |
| 61 | Ecuador | 1 t | 2023 | up 66.7% | volatile |
| 62 | Papua New Guinea | 0.94 t | 2023 | up 623.1% | volatile |
| 63 | Kazakhstan | 0.83 t | 2023 | up 25.8% | volatile |
| 64 | Vanuatu | 0.76 t | 2023 | — | volatile |
| 65 | Jamaica | 0.75 t | 2023 | up 971.4% | volatile |
| 66 | Kuwait | 0.73 t | 2023 | down 12.0% | volatile |
| 67 | Maldives | 0.6 t | 2023 | up 87.5% | volatile |
| 68 | Belarus | 0.55 t | 2023 | up 139.1% | volatile |
| 69 | Czechia | 0.52 t | 2023 | up 126.1% | volatile |
| 70 | Israel | 0.51 t | 2023 | down 52.3% | volatile |
| 71 | Greece | 0.49 t | 2023 | down 31.0% | rising |
| 72 | Portugal | 0.48 t | 2023 | down 32.4% | volatile |
| 73 | Iran (Islamic Republic of) | 0.4 t | 2023 | down 97.8% | volatile |
| 74 | Lithuania | 0.39 t | 2023 | down 25.0% | volatile |
| 75 | Mozambique | 0.37 t | 2023 | up 42.3% | volatile |
| 75 | Slovenia | 0.37 t | 2023 | down 69.7% | volatile |
| 77 | Botswana | 0.33 t | 2023 | up 1,000.0% | volatile |
| 78 | Haiti | 0.32 t | 2023 | up 113.3% | volatile |
| 79 | Luxembourg | 0.28 t | 2023 | down 50.9% | falling |
| 79 | Montenegro | 0.28 t | 2023 | unchanged | rising |
| 81 | United Arab Emirates | 0.26 t | 2023 | up 18.2% | volatile |
| 82 | Hungary | 0.25 t | 2023 | down 80.2% | volatile |
| 83 | Gabon | 0.24 t | 2023 | up 242.9% | volatile |
| 83 | Seychelles | 0.24 t | 2023 | down 82.4% | volatile |
| 85 | Ireland | 0.21 t | 2023 | up 61.5% | volatile |
| 86 | Sweden | 0.2 t | 2023 | down 28.6% | volatile |
| 87 | Bosnia and Herzegovina | 0.19 t | 2023 | up 58.3% | rising |
| 87 | Norway | 0.19 t | 2023 | up 533.3% | volatile |
| 89 | Argentina | 0.17 t | 2023 | down 83.5% | volatile |
| 89 | Cyprus | 0.17 t | 2023 | up 466.7% | volatile |
| 91 | Finland | 0.16 t | 2023 | down 33.3% | volatile |
| 91 | Solomon Islands | 0.16 t | 2023 | down 85.5% | volatile |
| 91 | Republic of Moldova | 0.16 t | 2023 | up 100.0% | rising |
| 94 | Iceland | 0.14 t | 2023 | up 7.7% | volatile |
| 95 | Latvia | 0.13 t | 2023 | down 23.5% | volatile |
| 96 | Colombia | 0.12 t | 2023 | down 50.0% | volatile |
| 96 | Morocco | 0.12 t | 2023 | down 45.5% | volatile |
| 98 | Congo | 0.11 t | 2023 | — | volatile |
| 98 | Namibia | 0.11 t | 2023 | down 92.1% | volatile |
| 98 | Bolivia (Plurinational State of) | 0.11 t | 2020 | down 47.6% | volatile |
| 101 | Georgia | 0.1 t | 2023 | up 400.0% | volatile |
| 101 | Jordan | 0.1 t | 2023 | up 150.0% | volatile |
| 101 | French Polynesia | 0.1 t | 2023 | up 100.0% | volatile |
| 101 | United Republic of Tanzania | 0.1 t | 2023 | up 233.3% | volatile |
| 105 | Costa Rica | 0.09 t | 2023 | down 88.3% | volatile |
| 105 | Algeria | 0.09 t | 2023 | up 28.6% | volatile |
| 105 | Nigeria | 0.09 t | 2023 | up 200.0% | volatile |
| 105 | Serbia | 0.09 t | 2023 | down 43.8% | volatile |
| 105 | Slovakia | 0.09 t | 2023 | up 80.0% | volatile |
| 105 | Uganda | 0.09 t | 2020 | down 89.5% | volatile |
| 111 | Trinidad and Tobago | 0.08 t | 2023 | up 166.7% | volatile |
| 112 | Cuba | 0.06 t | 2019 | down 33.3% | volatile |
| 112 | Ghana | 0.06 t | 2023 | unchanged | volatile |
| 112 | Guyana | 0.06 t | 2023 | — | flat |
| 115 | Angola | 0.05 t | 2023 | down 91.4% | volatile |
| 115 | Armenia | 0.05 t | 2023 | up 150.0% | volatile |
| 115 | Honduras | 0.05 t | 2023 | down 37.5% | volatile |
| 115 | Iraq | 0.05 t | 2023 | down 44.4% | volatile |
| 115 | Qatar | 0.05 t | 2023 | — | flat |
| 115 | Tunisia | 0.05 t | 2023 | — | volatile |
| 121 | Bangladesh | 0.04 t | 2023 | up 100.0% | volatile |
| 121 | Barbados | 0.04 t | 2023 | — | rising |
| 121 | Cameroon | 0.04 t | 2023 | down 33.3% | volatile |
| 121 | Estonia | 0.04 t | 2023 | down 75.0% | volatile |
| 121 | Grenada | 0.04 t | 2023 | up 33.3% | rising |
| 121 | Libya | 0.04 t | 2023 | up 33.3% | volatile |
| 121 | Mauritania | 0.04 t | 2018 | down 73.3% | volatile |
| 121 | Tonga | 0.04 t | 2023 | — | flat |
| 121 | Cabo Verde | 0.04 t | 2023 | up 33.3% | volatile |
| 130 | Azerbaijan | 0.03 t | 2023 | up 50.0% | rising |
| 130 | Belize | 0.03 t | 2023 | down 96.9% | volatile |
| 130 | Senegal | 0.03 t | 2023 | down 57.1% | volatile |
| 133 | Egypt | 0.02 t | 2023 | unchanged | volatile |
| 133 | Ethiopia | 0.02 t | 2023 | unchanged | volatile |
| 133 | Guinea | 0.02 t | 2023 | unchanged | volatile |
| 133 | Guatemala | 0.02 t | 2023 | down 93.3% | volatile |
| 133 | Oman | 0.02 t | 2023 | down 75.0% | volatile |
| 138 | Albania | 0.01 t | 2023 | — | volatile |
| 138 | Bahamas | 0.01 t | 2023 | down 50.0% | volatile |
| 138 | Djibouti | 0.01 t | 2023 | down 50.0% | falling |
| 138 | Lebanon | 0.01 t | 2023 | down 97.0% | volatile |
| 138 | Malta | 0.01 t | 2023 | down 88.9% | volatile |
| 138 | Mongolia | 0.01 t | 2023 | — | volatile |
| 138 | Niger | 0.01 t | 2020 | — | volatile |
| 138 | Nepal | 0.01 t | 2020 | down 50.0% | volatile |
| 138 | El Salvador | 0.01 t | 2023 | down 66.7% | volatile |
| 138 | Turkmenistan | 0.01 t | 2023 | down 50.0% | volatile |
| 138 | Micronesia | 0.01 t | 2023 | down 95.8% | volatile |
| 138 | Democratic Republic of the Congo | 0.01 t | 2023 | down 93.8% | volatile |
| 150 | Kyrgyzstan | 0 t | 2023 | down 100.0% | volatile |
| 150 | Kiribati | 0 t | 2023 | down 100.0% | volatile |
| 150 | Liberia | 0 t | 2023 | down 100.0% | volatile |
| 150 | Saint Lucia | 0 t | 2023 | down 100.0% | volatile |
| 150 | Marshall Islands | 0 t | 2023 | — | volatile |
| 150 | North Macedonia | 0 t | 2020 | down 100.0% | volatile |
| 150 | Malawi | 0 t | 2020 | down 100.0% | volatile |
| 150 | Paraguay | 0 t | 2020 | down 100.0% | falling |
| 150 | Rwanda | 0 t | 2023 | down 100.0% | volatile |
| 150 | Tajikistan | 0 t | 2018 | down 100.0% | volatile |
| 150 | Uruguay | 0 t | 2020 | down 100.0% | volatile |
| 150 | Uzbekistan | 0 t | 2023 | down 100.0% | volatile |
| 150 | Zambia | 0 t | 2023 | down 100.0% | volatile |
| 150 | Timor-Leste | 0 t | 2019 | down 100.0% | volatile |
| 150 | Venezuela (Bolivarian Republic of) | 0 t | 2023 | down 100.0% | volatile |
| 150 | Côte d'Ivoire | 0 t | 2023 | down 100.0% | volatile |
| 150 | Micronesia (Federated States of) | 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 16,892 t
- Asia 16,217 t
- Eastern Asia 15,322 t
- South-Eastern Asia 658.74 t
- Americas 400.51 t
- Europe 212.09 t
- Western Asia 182.61 t
- Central America 180.02 t
- Northern America 163.04 t
- Eastern Europe 154.69 t
- Net Food Importing Developing Countries (NFIDCs) 116.96 t
- Low Income Food Deficit Countries (LIFDCs) 76.23 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.