Crustaceans — 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...
Countries reporting
191
Highest
54,197 t
China
Lowest
0.01 t
Tuvalu
Median
14.8 t
Years covered
14
2010–2023
Data points
3,018
What the numbers show
Crustaceans — Fat supply quantity (t) is currently reported for 191 countries. The highest value is 54,197 t in China; the lowest is 0.01 t in Tuvalu.
The median across all reporting countries is 14.8 t, and the mean is 812.77 t.
Over the past decade 126 countries rose and 57 fell. The largest increase was in Laos (up 16,944.4%), and the largest decrease in Angola (down 95.3%).
Crustaceans — Fat supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 54,197 t | 2023 | up 63.9% | rising |
| 2 | China, mainland | 53,132 t | 2023 | up 66.2% | rising |
| 3 | United States | 6,505 t | 2023 | up 12.9% | rising |
| 4 | Indonesia | 6,059 t | 2023 | up 31.7% | rising |
| 5 | India | 4,469 t | 2023 | up 50.7% | rising |
| 6 | Vietnam | 3,393 t | 2023 | up 179.6% | rising |
| 6 | Viet Nam | 3,393 t | 2023 | up 179.6% | rising |
| 8 | Mexico | 1,808 t | 2023 | up 61.0% | rising |
| 9 | Republic of Korea | 1,668 t | 2023 | up 10.0% | flat |
| 10 | Bangladesh | 1,427 t | 2023 | up 27.1% | rising |
| 11 | Thailand | 1,396 t | 2023 | up 57.0% | rising |
| 12 | Malaysia | 1,031 t | 2023 | up 1.3% | falling |
| 13 | France | 903.49 t | 2023 | down 0.2% | falling |
| 14 | Spain | 892.13 t | 2023 | down 8.3% | falling |
| 15 | Philippines | 888.12 t | 2023 | up 23.3% | rising |
| 16 | Brazil | 844.26 t | 2023 | up 27.8% | flat |
| 17 | United Kingdom | 770.37 t | 2023 | down 13.8% | falling |
| 17 | United Kingdom of Great Britain and Northern Ireland | 770.37 t | 2023 | down 13.8% | falling |
| 19 | China, Taiwan Province of | 586.67 t | 2023 | down 21.3% | falling |
| 20 | Italy | 578.92 t | 2023 | up 55.2% | rising |
| 21 | Canada | 559.5 t | 2023 | down 28.8% | falling |
| 22 | Russia | 522.67 t | 2023 | up 90.3% | rising |
| 22 | Russian Federation | 522.67 t | 2023 | up 90.3% | rising |
| 24 | Australia and New Zealand | 509.52 t | 2023 | up 1.4% | flat |
| 25 | Australia | 458.22 t | 2023 | down 1.4% | falling |
| 26 | China, Hong Kong SAR | 439.3 t | 2023 | up 33.0% | rising |
| 27 | Germany | 402.64 t | 2023 | up 19.6% | flat |
| 28 | Argentina | 386.1 t | 2023 | up 363.3% | volatile |
| 29 | Saudi Arabia | 367.63 t | 2023 | up 185.2% | rising |
| 30 | Portugal | 359.1 t | 2023 | up 189.1% | rising |
| 31 | Nigeria | 333.12 t | 2023 | up 215.2% | rising |
| 32 | Sweden | 319.16 t | 2023 | up 0.8% | rising |
| 33 | Egypt | 292.02 t | 2023 | up 57.0% | rising |
| 34 | Cameroon | 282.23 t | 2023 | up 58.3% | rising |
| 35 | Ukraine | 270 t | 2023 | up 191.7% | volatile |
| 36 | Peru | 254.51 t | 2023 | up 341.3% | rising |
| 37 | Norway | 251.11 t | 2023 | up 4.4% | rising |
| 38 | Chile | 228.32 t | 2023 | up 105.7% | rising |
| 39 | Iran (Islamic Republic of) | 217.99 t | 2023 | up 207.5% | rising |
| 40 | Ecuador | 206.52 t | 2023 | down 40.9% | volatile |
| 41 | Sri Lanka | 198.52 t | 2023 | up 55.2% | rising |
| 42 | Denmark | 163 t | 2023 | up 54.6% | rising |
| 43 | Netherlands (Kingdom of the) | 151.55 t | 2023 | down 22.5% | rising |
| 44 | Democratic People's Republic of Korea | 138.42 t | 2018 | down 7.1% | falling |
| 45 | Belgium | 121.9 t | 2023 | up 20.7% | falling |
| 46 | Cambodia | 121.88 t | 2023 | up 7.4% | rising |
| 47 | Caribbean | 121.68 t | 2023 | up 41.3% | rising |
| 48 | Mozambique | 118.95 t | 2023 | up 149.8% | rising |
| 49 | Venezuela (Bolivarian Republic of) | 111.88 t | 2023 | up 12.0% | falling |
| 50 | Greece | 99.23 t | 2023 | up 87.7% | rising |
| 51 | Guatemala | 95.89 t | 2023 | up 159.0% | rising |
| 52 | Switzerland | 88.08 t | 2023 | up 5.0% | rising |
| 53 | Colombia | 86.28 t | 2023 | up 65.6% | rising |
| 54 | South Africa | 85.69 t | 2023 | up 17.9% | rising |
| 55 | Kuwait | 76.66 t | 2023 | up 119.6% | rising |
| 56 | Guyana | 69.75 t | 2023 | up 6.8% | rising |
| 57 | Madagascar | 64.26 t | 2023 | down 33.4% | rising |
| 58 | Austria | 62.55 t | 2023 | up 108.9% | rising |
| 59 | New Zealand | 51.31 t | 2023 | up 35.7% | rising |
| 60 | Romania | 46.97 t | 2023 | up 556.0% | volatile |
| 61 | Dominican Republic | 46.36 t | 2023 | up 102.0% | rising |
| 62 | Pakistan | 45.99 t | 2023 | down 39.4% | rising |
| 63 | United Arab Emirates | 45.29 t | 2023 | up 46.0% | rising |
| 64 | Poland | 45.09 t | 2023 | up 146.0% | rising |
| 65 | United Republic of Tanzania | 40.69 t | 2023 | up 113.8% | rising |
| 66 | China, Macao SAR | 39.38 t | 2023 | up 29.8% | rising |
| 67 | Qatar | 39.02 t | 2023 | — | flat |
| 68 | Lithuania | 35.68 t | 2023 | up 343.8% | volatile |
| 69 | Oman | 35.39 t | 2023 | up 71.0% | rising |
| 70 | Turkey | 33.01 t | 2023 | up 38.0% | rising |
| 70 | Türkiye | 33.01 t | 2023 | up 38.0% | rising |
| 72 | Finland | 31.31 t | 2023 | down 8.6% | falling |
| 73 | Costa Rica | 30.68 t | 2023 | down 22.2% | falling |
| 74 | Israel | 29.95 t | 2023 | up 50.5% | rising |
| 75 | Panama | 28.99 t | 2023 | up 143.2% | volatile |
| 76 | Senegal | 27.22 t | 2023 | up 86.1% | volatile |
| 77 | Myanmar | 22.4 t | 2023 | up 1.3% | falling |
| 78 | Iceland | 20.77 t | 2023 | down 3.6% | falling |
| 79 | Jamaica | 20.49 t | 2023 | up 429.5% | volatile |
| 80 | Bahamas | 19.12 t | 2023 | up 39.8% | rising |
| 81 | El Salvador | 18.8 t | 2023 | up 81.5% | falling |
| 82 | Morocco | 18.76 t | 2023 | down 83.4% | volatile |
| 83 | Ireland | 18.56 t | 2023 | down 46.3% | falling |
| 84 | Algeria | 18.1 t | 2023 | down 19.2% | falling |
| 85 | Czechia | 18.03 t | 2023 | up 95.8% | rising |
| 86 | Nicaragua | 17.76 t | 2023 | up 394.7% | volatile |
| 87 | Mauritius | 17.68 t | 2023 | up 61.0% | rising |
| 88 | Albania | 17.6 t | 2023 | up 37.7% | rising |
| 89 | Cote d'Ivoire | 17.55 t | 2023 | up 127.6% | volatile |
| 89 | Côte d'Ivoire | 17.55 t | 2023 | up 127.6% | volatile |
| 91 | Croatia | 17.47 t | 2023 | up 52.6% | rising |
| 92 | Estonia | 15.63 t | 2023 | up 41.7% | rising |
| 93 | Cuba | 15.47 t | 2019 | up 563.9% | rising |
| 94 | Laos | 15.34 t | 2023 | up 16,944.4% | volatile |
| 94 | Lao People's Democratic Republic | 15.34 t | 2023 | up 16,944.4% | volatile |
| 96 | Trinidad and Tobago | 14.8 t | 2023 | up 1.8% | rising |
| 97 | Iraq | 13.99 t | 2023 | up 374.2% | volatile |
| 98 | Melanesia | 13.82 t | 2023 | down 19.8% | falling |
| 99 | Kazakhstan | 13.78 t | 2023 | up 139.7% | rising |
| 100 | Luxembourg | 13.49 t | 2023 | up 25.7% | rising |
| 101 | Burkina Faso | 13.17 t | 2023 | up 326.2% | volatile |
| 102 | Latvia | 12.91 t | 2023 | down 5.2% | volatile |
| 103 | Suriname | 11.1 t | 2023 | down 15.6% | falling |
| 104 | Lebanon | 10.89 t | 2023 | down 34.5% | falling |
| 105 | Cyprus | 10.24 t | 2023 | up 14.0% | falling |
| 106 | Tunisia | 9.95 t | 2023 | down 64.6% | falling |
| 107 | Maldives | 9.8 t | 2023 | up 129.0% | rising |
| 108 | Jordan | 9.73 t | 2023 | up 158.1% | rising |
| 109 | Belarus | 9.11 t | 2023 | up 37.4% | rising |
| 110 | Ghana | 8.89 t | 2023 | down 47.9% | volatile |
| 111 | Hungary | 8.29 t | 2023 | up 146.7% | rising |
| 112 | Polynesia | 7.9 t | 2023 | up 19.9% | flat |
| 113 | Bulgaria | 7.88 t | 2023 | up 9.6% | volatile |
| 114 | Slovenia | 7.3 t | 2023 | up 124.6% | rising |
| 115 | Kenya | 6.93 t | 2023 | up 98.0% | volatile |
| 116 | Honduras | 6.76 t | 2023 | down 66.7% | volatile |
| 117 | Namibia | 6.29 t | 2023 | up 111.8% | rising |
| 118 | Armenia | 5.91 t | 2023 | up 2,173.1% | volatile |
| 119 | Sierra Leone | 5.88 t | 2023 | down 1.7% | falling |
| 120 | Fiji | 5.04 t | 2023 | up 0.2% | rising |
| 120 | Vanuatu | 5.04 t | 2023 | down 8.5% | falling |
| 122 | Gambia | 4.97 t | 2023 | down 47.7% | falling |
| 123 | French Polynesia | 4.49 t | 2023 | up 31.7% | falling |
| 124 | Moldova | 4.12 t | 2023 | up 143.8% | rising |
| 124 | Republic of Moldova | 4.12 t | 2023 | up 143.8% | rising |
| 126 | Libya | 4.03 t | 2023 | down 24.1% | falling |
| 127 | Slovakia | 3.49 t | 2023 | down 24.5% | rising |
| 128 | Barbados | 3.35 t | 2023 | up 104.3% | rising |
| 129 | Congo | 3.29 t | 2023 | down 44.7% | volatile |
| 130 | Samoa | 3.23 t | 2023 | up 1.6% | flat |
| 131 | Seychelles | 3.21 t | 2023 | up 32.6% | falling |
| 132 | Liberia | 3.03 t | 2023 | up 106.1% | volatile |
| 133 | Belize | 2.87 t | 2023 | down 48.8% | falling |
| 134 | Papua New Guinea | 2.86 t | 2023 | down 42.1% | flat |
| 135 | Guinea | 2.84 t | 2023 | down 63.1% | volatile |
| 136 | Serbia | 2.82 t | 2023 | up 184.8% | volatile |
| 137 | Malta | 2.67 t | 2023 | down 2.9% | volatile |
| 138 | Haiti | 2.44 t | 2023 | down 7.2% | falling |
| 139 | Antigua and Barbuda | 2.35 t | 2023 | up 32.8% | rising |
| 140 | Bahrain | 2.34 t | 2023 | — | flat |
| 141 | Gabon | 2.17 t | 2023 | down 8.4% | flat |
| 142 | Eswatini | 2.05 t | 2023 | up 925.0% | volatile |
| 143 | Uruguay | 2.04 t | 2023 | down 40.2% | falling |
| 144 | Montenegro | 1.92 t | 2023 | up 53.6% | rising |
| 145 | Mauritania | 1.67 t | 2023 | down 83.3% | volatile |
| 146 | Azerbaijan | 1.61 t | 2023 | up 18.4% | volatile |
| 147 | Uzbekistan | 1.43 t | 2023 | up 581.0% | volatile |
| 148 | Georgia | 1.42 t | 2023 | up 283.8% | volatile |
| 149 | Cabo Verde | 1.41 t | 2023 | up 143.1% | rising |
| 150 | Angola | 1.29 t | 2023 | down 95.3% | volatile |
| 151 | Paraguay | 1.26 t | 2023 | up 80.0% | rising |
| 152 | Zambia | 0.97 t | 2023 | up 15.5% | rising |
| 153 | Micronesia | 0.85 t | 2023 | up 183.3% | volatile |
| 154 | New Caledonia | 0.69 t | 2023 | down 57.1% | volatile |
| 155 | Bosnia and Herzegovina | 0.65 t | 2023 | up 160.0% | rising |
| 156 | Nepal | 0.58 t | 2023 | up 1,060.0% | volatile |
| 157 | Saint Lucia | 0.56 t | 2023 | up 12.0% | falling |
| 157 | North Macedonia | 0.56 t | 2023 | up 229.4% | rising |
| 159 | Syria | 0.52 t | 2023 | down 43.5% | volatile |
| 159 | Syrian Arab Republic | 0.52 t | 2023 | down 43.5% | volatile |
| 161 | Botswana | 0.48 t | 2023 | up 23.1% | rising |
| 162 | Grenada | 0.47 t | 2023 | up 113.6% | rising |
| 163 | East Timor | 0.42 t | 2023 | down 23.6% | falling |
| 163 | Timor-Leste | 0.42 t | 2023 | down 23.6% | falling |
| 165 | Mongolia | 0.3 t | 2023 | up 400.0% | volatile |
| 166 | Saint Kitts and Nevis | 0.29 t | 2023 | down 34.1% | falling |
| 166 | Malawi | 0.29 t | 2023 | up 383.3% | volatile |
| 168 | Zimbabwe | 0.28 t | 2023 | down 37.8% | rising |
| 169 | Lesotho | 0.27 t | 2023 | up 800.0% | volatile |
| 169 | Marshall Islands | 0.27 t | 2023 | — | rising |
| 169 | Bolivia (Plurinational State of) | 0.27 t | 2023 | up 50.0% | rising |
| 172 | Solomon Islands | 0.19 t | 2023 | up 26.7% | rising |
| 173 | Guinea-Bissau | 0.17 t | 2023 | up 183.3% | volatile |
| 173 | Tonga | 0.17 t | 2023 | — | flat |
| 175 | Kiribati | 0.16 t | 2023 | down 46.7% | volatile |
| 175 | Micronesia (Federated States of) | 0.16 t | 2023 | — | flat |
| 177 | Turkmenistan | 0.13 t | 2023 | up 44.4% | volatile |
| 178 | Uganda | 0.12 t | 2023 | down 36.8% | volatile |
| 179 | Ethiopia | 0.11 t | 2023 | down 85.9% | volatile |
| 180 | Saint Vincent and the Grenadines | 0.1 t | 2023 | down 61.5% | falling |
| 180 | Yemen | 0.1 t | 2023 | down 92.5% | volatile |
| 182 | Bhutan | 0.07 t | 2023 | — | volatile |
| 183 | Comoros | 0.06 t | 2023 | down 66.7% | volatile |
| 183 | Niger | 0.06 t | 2023 | up 200.0% | volatile |
| 183 | Tajikistan | 0.06 t | 2023 | up 100.0% | volatile |
| 186 | Djibouti | 0.05 t | 2023 | down 72.2% | volatile |
| 186 | Democratic Republic of the Congo | 0.05 t | 2023 | down 91.7% | volatile |
| 188 | Kyrgyzstan | 0.03 t | 2023 | down 82.4% | volatile |
| 188 | Sao Tome and Principe | 0.03 t | 2023 | down 70.0% | falling |
| 190 | Rwanda | 0.01 t | 2023 | unchanged | falling |
| 190 | Tuvalu | 0.01 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 97,222 t
- Asia 77,567 t
- Eastern Asia 57,568 t
- South-Eastern Asia 12,927 t
- Americas 11,398 t
- Northern America 7,064 t
- United States of America 6,505 t
- Southern Asia 6,369 t
- Europe 6,298 t
- European Union (27) 4,349 t
- Net Food Importing Developing Countries (NFIDCs) 3,038 t
- South America 2,202 t
- Central America 2,010 t
- Southern Europe 1,980 t
- Least Developed Countries (LDCs) 1,904 t
- Western Europe 1,744 t
- Northern Europe 1,639 t
- Africa 1,427 t
- Eastern Europe 935.65 t
- Low Income Food Deficit Countries (LIFDCs) 756.55 t
- Western Asia 687.28 t
- Oceania 532.09 t
- Western Africa 444.62 t
- Northern Africa 343.05 t
- Middle Africa 289.54 t
- Small island developing States (SIDS) 260.74 t
- Eastern Africa 255.16 t
- Southern Africa 94.78 t
- Land Locked Developing Countries (LLDCs) 67.01 t
- Central Asia 15.43 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.