Aquatic Animals, Others — 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
Aquatic Animals, Others — Protein supply quantity (t) is currently reported for 165 countries. The highest value is 115,814 t in China; the lowest is 0 t in Côte d'Ivoire.
The median across all reporting countries is 1.62 t, and the mean is 1,493 t.
Over the past decade 70 countries rose and 81 fell. The largest increase was in Saudi Arabia (up 93,928.4%), and the largest decrease in Kiribati (down 100.0%).
Aquatic Animals, Others — Protein supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 115,814 t | 2023 | up 37.8% | rising |
| 2 | China, mainland | 114,960 t | 2023 | up 38.2% | rising |
| 3 | Republic of Korea | 3,101 t | 2023 | up 5.8% | falling |
| 4 | Indonesia | 2,597 t | 2023 | up 275.6% | volatile |
| 5 | Viet Nam | 1,182 t | 2023 | up 294.5% | volatile |
| 6 | Russian Federation | 1,164 t | 2023 | up 795.8% | volatile |
| 7 | Mexico | 1,090 t | 2023 | down 50.4% | volatile |
| 8 | Saudi Arabia | 1,025 t | 2023 | up 93,928.4% | volatile |
| 9 | Malaysia | 995.84 t | 2023 | up 51.8% | rising |
| 10 | Canada | 753.17 t | 2023 | up 54.5% | rising |
| 11 | China, Taiwan Province of | 473.74 t | 2023 | down 34.9% | falling |
| 12 | Nicaragua | 371.79 t | 2023 | up 3,740.8% | volatile |
| 13 | China, Hong Kong SAR | 355.4 t | 2023 | up 112.4% | rising |
| 14 | Sri Lanka | 235.36 t | 2023 | down 0.5% | volatile |
| 15 | Australia and New Zealand | 219.66 t | 2023 | down 57.8% | volatile |
| 16 | Chile | 176.75 t | 2023 | up 15.5% | rising |
| 17 | Pakistan | 162.54 t | 2023 | up 65.8% | rising |
| 18 | Thailand | 159.57 t | 2023 | down 97.5% | volatile |
| 19 | Myanmar | 150.82 t | 2023 | down 63.9% | volatile |
| 20 | Australia | 121.28 t | 2023 | down 71.9% | volatile |
| 21 | New Zealand | 98.38 t | 2023 | up 10.2% | rising |
| 22 | Madagascar | 78.87 t | 2023 | down 48.9% | falling |
| 23 | Peru | 78.4 t | 2023 | up 1,793.7% | volatile |
| 24 | Spain | 72.05 t | 2023 | down 50.8% | volatile |
| 25 | France | 67.55 t | 2023 | down 69.9% | volatile |
| 26 | Germany | 63.77 t | 2023 | up 168.7% | volatile |
| 27 | Philippines | 62.22 t | 2023 | down 20.8% | rising |
| 28 | United Kingdom of Great Britain and Northern Ireland | 48.4 t | 2023 | up 19.1% | rising |
| 29 | Switzerland | 39.12 t | 2023 | up 122.8% | rising |
| 30 | Ukraine | 36.72 t | 2023 | down 28.9% | falling |
| 31 | Italy | 34.38 t | 2023 | up 122.8% | volatile |
| 32 | Bulgaria | 33.9 t | 2023 | up 272.1% | volatile |
| 33 | Croatia | 31.26 t | 2023 | up 68.8% | volatile |
| 34 | Melanesia | 30.4 t | 2023 | up 51.8% | rising |
| 35 | Cambodia | 26.02 t | 2023 | up 221.2% | volatile |
| 36 | Democratic People's Republic of Korea | 24.82 t | 2018 | up 21.1% | volatile |
| 37 | China, Macao SAR | 24.67 t | 2023 | up 69.3% | rising |
| 39 | Denmark | 22.43 t | 2023 | up 177.6% | rising |
| 40 | Brazil | 18.97 t | 2023 | down 48.2% | volatile |
| 41 | Polynesia | 17.78 t | 2023 | down 53.8% | volatile |
| 42 | Samoa | 16.95 t | 2023 | down 55.6% | falling |
| 43 | Bahrain | 15.54 t | 2023 | — | flat |
| 44 | Romania | 15.32 t | 2023 | up 242.0% | volatile |
| 45 | Dominican Republic | 14.68 t | 2023 | up 811.8% | volatile |
| 46 | Yemen | 14.61 t | 2023 | down 16.4% | volatile |
| 47 | India | 14.2 t | 2023 | down 14.3% | rising |
| 48 | Belgium | 13.79 t | 2023 | down 63.1% | volatile |
| 49 | Kenya | 13.68 t | 2023 | up 213.0% | volatile |
| 50 | Lao People's Democratic Republic | 13.5 t | 2023 | up 190.9% | volatile |
| 51 | Poland | 13.11 t | 2023 | up 1,800.0% | volatile |
| 52 | Türkiye | 10.95 t | 2023 | down 85.9% | volatile |
| 53 | Fiji | 9.45 t | 2023 | up 427.9% | volatile |
| 54 | New Caledonia | 9.19 t | 2023 | up 14.0% | rising |
| 55 | Austria | 9.02 t | 2023 | down 25.2% | volatile |
| 55 | Mauritius | 9.02 t | 2023 | down 16.3% | volatile |
| 57 | Lesotho | 8.27 t | 2023 | up 9,088.9% | volatile |
| 58 | Panama | 8.07 t | 2023 | down 15.8% | volatile |
| 59 | Burkina Faso | 7.87 t | 2023 | up 6,458.3% | volatile |
| 60 | Ecuador | 7.8 t | 2023 | up 69.6% | volatile |
| 61 | Kazakhstan | 6.35 t | 2023 | up 26.2% | volatile |
| 62 | Vanuatu | 6.26 t | 2023 | — | volatile |
| 63 | Jamaica | 5.79 t | 2023 | up 952.7% | volatile |
| 64 | Kuwait | 5.57 t | 2023 | down 12.0% | volatile |
| 65 | Netherlands (Kingdom of the) | 5.36 t | 2023 | down 95.1% | volatile |
| 66 | Maldives | 4.58 t | 2023 | up 211.6% | volatile |
| 67 | Belarus | 4.24 t | 2023 | up 145.1% | volatile |
| 68 | Papua New Guinea | 4.22 t | 2023 | up 294.4% | volatile |
| 69 | Czechia | 4.01 t | 2023 | up 124.0% | volatile |
| 70 | Israel | 3.38 t | 2023 | down 58.9% | volatile |
| 71 | Portugal | 3.04 t | 2023 | down 45.6% | volatile |
| 72 | Lithuania | 2.98 t | 2023 | down 25.5% | volatile |
| 73 | Greece | 2.9 t | 2023 | down 43.4% | flat |
| 74 | Slovenia | 2.89 t | 2023 | down 69.7% | volatile |
| 75 | Luxembourg | 2.16 t | 2023 | down 50.8% | falling |
| 76 | Montenegro | 2.12 t | 2023 | down 3.2% | flat |
| 77 | Iran (Islamic Republic of) | 2.1 t | 2023 | down 98.6% | volatile |
| 78 | Mozambique | 2.02 t | 2023 | up 87.0% | volatile |
| 79 | Gabon | 1.99 t | 2023 | up 503.0% | volatile |
| 80 | Hungary | 1.95 t | 2023 | down 80.0% | volatile |
| 81 | United Arab Emirates | 1.78 t | 2023 | up 11.9% | volatile |
| 82 | Haiti | 1.77 t | 2023 | up 136.0% | volatile |
| 83 | Botswana | 1.68 t | 2023 | up 1,300.0% | volatile |
| 84 | Ireland | 1.62 t | 2023 | up 63.6% | volatile |
| 85 | Sweden | 1.61 t | 2023 | down 24.8% | volatile |
| 86 | Bosnia and Herzegovina | 1.43 t | 2023 | up 49.0% | rising |
| 87 | Cyprus | 1.36 t | 2023 | up 547.6% | volatile |
| 88 | Argentina | 1.35 t | 2023 | down 83.1% | volatile |
| 89 | Solomon Islands | 1.28 t | 2023 | down 85.9% | volatile |
| 90 | Finland | 1.27 t | 2023 | down 31.0% | volatile |
| 91 | Republic of Moldova | 1.25 t | 2023 | up 119.3% | rising |
| 92 | Iceland | 1.09 t | 2023 | up 32.9% | volatile |
| 93 | Seychelles | 1.03 t | 2023 | down 81.7% | volatile |
| 94 | Latvia | 1.01 t | 2023 | down 24.1% | volatile |
| 95 | Norway | 0.99 t | 2023 | up 371.4% | volatile |
| 96 | Morocco | 0.95 t | 2023 | down 44.8% | volatile |
| 97 | Colombia | 0.88 t | 2023 | down 52.2% | volatile |
| 98 | Congo | 0.84 t | 2023 | — | volatile |
| 99 | Jordan | 0.83 t | 2023 | up 130.6% | volatile |
| 100 | Bolivia (Plurinational State of) | 0.81 t | 2020 | down 49.7% | volatile |
| 101 | Georgia | 0.8 t | 2023 | up 566.7% | volatile |
| 101 | Namibia | 0.8 t | 2023 | down 93.0% | volatile |
| 103 | United Republic of Tanzania | 0.77 t | 2023 | up 541.7% | volatile |
| 104 | Nigeria | 0.75 t | 2023 | up 177.8% | volatile |
| 105 | Serbia | 0.72 t | 2023 | down 44.6% | volatile |
| 105 | Uganda | 0.72 t | 2020 | down 89.0% | volatile |
| 107 | Costa Rica | 0.67 t | 2023 | down 88.6% | volatile |
| 108 | Slovakia | 0.66 t | 2023 | up 88.6% | volatile |
| 109 | Trinidad and Tobago | 0.61 t | 2023 | up 165.2% | volatile |
| 110 | Guyana | 0.49 t | 2023 | — | flat |
| 111 | Ghana | 0.48 t | 2023 | up 9.1% | volatile |
| 111 | French Polynesia | 0.48 t | 2023 | up 37.1% | volatile |
| 113 | Cuba | 0.47 t | 2019 | up 30.6% | volatile |
| 114 | Honduras | 0.41 t | 2023 | down 19.6% | volatile |
| 115 | Angola | 0.4 t | 2023 | down 91.1% | volatile |
| 116 | Algeria | 0.39 t | 2023 | down 29.1% | volatile |
| 116 | Iraq | 0.39 t | 2023 | down 43.5% | volatile |
| 116 | Qatar | 0.39 t | 2023 | — | flat |
| 119 | Bangladesh | 0.37 t | 2023 | up 208.3% | volatile |
| 120 | Mauritania | 0.36 t | 2018 | down 71.7% | volatile |
| 121 | Armenia | 0.35 t | 2023 | up 191.7% | volatile |
| 122 | Tunisia | 0.34 t | 2023 | — | volatile |
| 123 | Estonia | 0.33 t | 2023 | down 75.0% | volatile |
| 124 | Libya | 0.32 t | 2023 | up 39.1% | volatile |
| 125 | Barbados | 0.31 t | 2023 | — | rising |
| 125 | Cameroon | 0.31 t | 2023 | down 32.6% | volatile |
| 125 | Tonga | 0.31 t | 2023 | — | flat |
| 125 | Cabo Verde | 0.31 t | 2023 | up 34.8% | volatile |
| 129 | Grenada | 0.3 t | 2023 | up 11.1% | rising |
| 130 | Senegal | 0.26 t | 2023 | down 45.8% | volatile |
| 131 | Azerbaijan | 0.23 t | 2023 | up 91.7% | rising |
| 132 | Belize | 0.22 t | 2023 | down 97.2% | volatile |
| 133 | Egypt | 0.16 t | 2023 | up 33.3% | volatile |
| 133 | Guatemala | 0.16 t | 2023 | down 93.5% | volatile |
| 135 | Ethiopia | 0.14 t | 2023 | up 16.7% | volatile |
| 136 | Bahamas | 0.12 t | 2023 | unchanged | volatile |
| 136 | Oman | 0.12 t | 2023 | down 81.2% | volatile |
| 138 | El Salvador | 0.1 t | 2023 | down 56.5% | volatile |
| 139 | Turkmenistan | 0.09 t | 2023 | down 25.0% | falling |
| 140 | Malta | 0.08 t | 2023 | down 88.4% | volatile |
| 140 | Niger | 0.08 t | 2020 | — | volatile |
| 142 | Albania | 0.07 t | 2023 | — | volatile |
| 142 | Djibouti | 0.07 t | 2023 | down 41.7% | falling |
| 144 | Guinea | 0.06 t | 2023 | down 50.0% | volatile |
| 144 | Lebanon | 0.06 t | 2023 | down 97.5% | volatile |
| 144 | Mongolia | 0.06 t | 2023 | — | volatile |
| 147 | Nepal | 0.05 t | 2020 | down 58.3% | volatile |
| 148 | Kyrgyzstan | 0.04 t | 2023 | down 93.0% | volatile |
| 148 | Micronesia | 0.04 t | 2023 | down 98.0% | volatile |
| 150 | North Macedonia | 0.03 t | 2020 | down 95.5% | volatile |
| 150 | Micronesia (Federated States of) | 0.03 t | 2023 | — | volatile |
| 152 | Malawi | 0.02 t | 2020 | down 83.3% | volatile |
| 152 | Democratic Republic of the Congo | 0.02 t | 2023 | down 98.5% | volatile |
| 154 | Saint Lucia | 0.01 t | 2023 | down 97.8% | volatile |
| 154 | Tajikistan | 0.01 t | 2018 | down 97.2% | volatile |
| 154 | Uzbekistan | 0.01 t | 2023 | down 95.7% | volatile |
| 154 | Zambia | 0.01 t | 2023 | down 99.0% | volatile |
| 154 | Venezuela (Bolivarian Republic of) | 0.01 t | 2023 | down 91.7% | volatile |
| 159 | Kiribati | 0 t | 2023 | down 100.0% | volatile |
| 159 | Liberia | 0 t | 2023 | down 100.0% | volatile |
| 159 | Marshall Islands | 0 t | 2023 | — | volatile |
| 159 | Paraguay | 0 t | 2020 | down 100.0% | volatile |
| 159 | Rwanda | 0 t | 2023 | down 100.0% | volatile |
| 159 | Uruguay | 0 t | 2020 | down 100.0% | volatile |
| 159 | Timor-Leste | 0 t | 2019 | down 100.0% | volatile |
| 159 | Côte d'Ivoire | 0 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 131,197 t
- Asia 126,065 t
- Eastern Asia 119,366 t
- South-Eastern Asia 5,187 t
- Americas 3,016 t
- Europe 1,708 t
- Central America 1,471 t
- Eastern Europe 1,275 t
- Northern America 1,235 t
- Western Asia 1,081 t
- Net Food Importing Developing Countries (NFIDCs) 866.71 t
- Low Income Food Deficit Countries (LIFDCs) 535.15 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.