Aquatic Animals, Others — Food supply (kcal/capita/day) 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 — Food supply (kcal/capita/day) is currently reported for 109 countries. The highest value is 1.26 kcal/cap/d in Republic of Korea; the lowest is 0 kcal/cap/d in South Africa.
The median across all reporting countries is 0.02 kcal/cap/d, and the mean is 0.1239 kcal/cap/d.
Over the past decade 21 countries rose and 39 fell. The largest increase was in Nicaragua (up 1,900.0%), and the largest decrease in Türkiye (down 100.0%).
Aquatic Animals, Others — Food supply: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Republic of Korea | 1.26 kcal/cap/d | 2023 | up 21.2% | falling |
| 2 | China, mainland | 1.22 kcal/cap/d | 2023 | up 38.6% | rising |
| 3 | China | 1.21 kcal/cap/d | 2023 | up 39.1% | rising |
| 3 | Viet Nam | 0.17 kcal/cap/d | 2023 | up 240.0% | rising |
| 4 | Samoa | 1.15 kcal/cap/d | 2023 | down 58.8% | falling |
| 5 | China, Hong Kong SAR | 0.98 kcal/cap/d | 2023 | up 122.7% | rising |
| 6 | Nicaragua | 0.8 kcal/cap/d | 2023 | up 1,900.0% | volatile |
| 7 | China, Macao SAR | 0.73 kcal/cap/d | 2023 | up 62.2% | rising |
| 8 | Saudi Arabia | 0.62 kcal/cap/d | 2023 | — | volatile |
| 9 | Malaysia | 0.48 kcal/cap/d | 2023 | up 45.5% | rising |
| 10 | New Caledonia | 0.46 kcal/cap/d | 2023 | down 37.8% | falling |
| 10 | Timor-Leste | 0 kcal/cap/d | 2019 | — | volatile |
| 10 | Türkiye | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 11 | China, Taiwan Province of | 0.4 kcal/cap/d | 2023 | down 29.8% | falling |
| 12 | Canada | 0.28 kcal/cap/d | 2023 | up 21.7% | rising |
| 12 | New Zealand | 0.28 kcal/cap/d | 2023 | down 6.7% | rising |
| 12 | Vanuatu | 0.28 kcal/cap/d | 2023 | — | volatile |
| 14 | Cabo Verde | 0.01 kcal/cap/d | 2023 | unchanged | volatile |
| 15 | Chile | 0.25 kcal/cap/d | 2023 | up 19.0% | rising |
| 16 | Seychelles | 0.22 kcal/cap/d | 2023 | down 86.1% | volatile |
| 17 | Bahrain | 0.2 kcal/cap/d | 2023 | — | falling |
| 18 | Fiji | 0.16 kcal/cap/d | 2023 | up 433.3% | volatile |
| 19 | Sri Lanka | 0.15 kcal/cap/d | 2023 | down 6.2% | volatile |
| 20 | Maldives | 0.14 kcal/cap/d | 2023 | up 40.0% | volatile |
| 21 | Indonesia | 0.13 kcal/cap/d | 2023 | up 225.0% | volatile |
| 22 | Croatia | 0.12 kcal/cap/d | 2023 | up 50.0% | volatile |
| 22 | Mexico | 0.12 kcal/cap/d | 2023 | down 55.6% | volatile |
| 22 | Russian Federation | 0.12 kcal/cap/d | 2023 | up 1,100.0% | volatile |
| 25 | Australia and New Zealand | 0.11 kcal/cap/d | 2023 | down 62.1% | volatile |
| 26 | Mauritius | 0.1 kcal/cap/d | 2023 | down 23.1% | volatile |
| 27 | Australia | 0.07 kcal/cap/d | 2023 | down 75.0% | volatile |
| 27 | Bulgaria | 0.07 kcal/cap/d | 2023 | up 250.0% | volatile |
| 27 | Switzerland | 0.07 kcal/cap/d | 2023 | up 75.0% | rising |
| 27 | Lesotho | 0.07 kcal/cap/d | 2023 | — | volatile |
| 27 | Madagascar | 0.07 kcal/cap/d | 2023 | down 61.1% | volatile |
| 32 | Denmark | 0.06 kcal/cap/d | 2023 | up 200.0% | rising |
| 33 | Iceland | 0.05 kcal/cap/d | 2023 | unchanged | volatile |
| 33 | Luxembourg | 0.05 kcal/cap/d | 2023 | down 61.5% | falling |
| 33 | Montenegro | 0.05 kcal/cap/d | 2023 | down 16.7% | flat |
| 36 | Grenada | 0.04 kcal/cap/d | 2023 | up 33.3% | rising |
| 36 | Myanmar | 0.04 kcal/cap/d | 2023 | down 66.7% | volatile |
| 36 | French Polynesia | 0.04 kcal/cap/d | 2023 | up 100.0% | volatile |
| 36 | Thailand | 0.04 kcal/cap/d | 2023 | down 97.0% | volatile |
| 36 | Tonga | 0.04 kcal/cap/d | 2023 | — | flat |
| 41 | Jamaica | 0.03 kcal/cap/d | 2023 | — | volatile |
| 41 | Panama | 0.03 kcal/cap/d | 2023 | down 25.0% | volatile |
| 41 | Peru | 0.03 kcal/cap/d | 2023 | — | volatile |
| 44 | Austria | 0.02 kcal/cap/d | 2023 | down 33.3% | volatile |
| 44 | Belgium | 0.02 kcal/cap/d | 2023 | down 66.7% | volatile |
| 44 | Barbados | 0.02 kcal/cap/d | 2023 | — | rising |
| 44 | Botswana | 0.02 kcal/cap/d | 2023 | — | volatile |
| 44 | Dominican Republic | 0.02 kcal/cap/d | 2023 | — | rising |
| 44 | Spain | 0.02 kcal/cap/d | 2023 | down 60.0% | volatile |
| 44 | France | 0.02 kcal/cap/d | 2023 | down 66.7% | volatile |
| 44 | Cambodia | 0.02 kcal/cap/d | 2023 | up 100.0% | rising |
| 44 | Kuwait | 0.02 kcal/cap/d | 2023 | down 33.3% | volatile |
| 44 | Lithuania | 0.02 kcal/cap/d | 2023 | unchanged | volatile |
| 44 | Solomon Islands | 0.02 kcal/cap/d | 2023 | down 90.9% | volatile |
| 44 | Slovenia | 0.02 kcal/cap/d | 2023 | down 71.4% | volatile |
| 56 | Burkina Faso | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Bosnia and Herzegovina | 0.01 kcal/cap/d | 2023 | — | rising |
| 56 | Belarus | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Belize | 0.01 kcal/cap/d | 2023 | down 97.1% | volatile |
| 56 | Cyprus | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Czechia | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Germany | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Ecuador | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Gabon | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Greece | 0.01 kcal/cap/d | 2023 | unchanged | volatile |
| 56 | Guyana | 0.01 kcal/cap/d | 2023 | — | flat |
| 56 | Israel | 0.01 kcal/cap/d | 2023 | down 50.0% | volatile |
| 56 | Italy | 0.01 kcal/cap/d | 2023 | unchanged | volatile |
| 56 | Kazakhstan | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Latvia | 0.01 kcal/cap/d | 2023 | unchanged | volatile |
| 56 | Pakistan | 0.01 kcal/cap/d | 2023 | unchanged | rising |
| 56 | Philippines | 0.01 kcal/cap/d | 2023 | down 50.0% | rising |
| 56 | Papua New Guinea | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Poland | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Portugal | 0.01 kcal/cap/d | 2023 | unchanged | volatile |
| 56 | Romania | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Trinidad and Tobago | 0.01 kcal/cap/d | 2023 | — | volatile |
| 56 | Ukraine | 0.01 kcal/cap/d | 2023 | down 50.0% | volatile |
| 56 | Yemen | 0.01 kcal/cap/d | 2023 | unchanged | volatile |
| 56 | Netherlands (Kingdom of the) | 0.01 kcal/cap/d | 2023 | down 94.4% | volatile |
| 56 | United Kingdom of Great Britain and Northern Ireland | 0.01 kcal/cap/d | 2023 | unchanged | falling |
| 82 | United Arab Emirates | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | Armenia | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | Bahamas | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | Congo | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | Costa Rica | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 82 | Estonia | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 82 | Finland | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 82 | Honduras | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | Hungary | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 82 | Ireland | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | Kiribati | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 82 | Lebanon | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 82 | Saint Lucia | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 82 | Marshall Islands | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | Malta | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 82 | Mauritania | 0 kcal/cap/d | 2018 | down 100.0% | volatile |
| 82 | Namibia | 0 kcal/cap/d | 2023 | down 100.0% | volatile |
| 82 | Norway | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | Oman | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | El Salvador | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | Serbia | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | Slovakia | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | Sweden | 0 kcal/cap/d | 2023 | — | volatile |
| 82 | South Africa | 0 kcal/cap/d | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Eastern Asia 1.1 kcal/cap/d
- Polynesia 0.43 kcal/cap/d
- Asia 0.41 kcal/cap/d
- World 0.25 kcal/cap/d
- Central America 0.12 kcal/cap/d
- South-Eastern Asia 0.12 kcal/cap/d
- Melanesia 0.04 kcal/cap/d
- Oceania 0.09 kcal/cap/d
- Lao People's Democratic Republic 0.03 kcal/cap/d
- Western Asia 0.07 kcal/cap/d
- Small island developing states (SIDS) 0.02 kcal/cap/d
- Eastern Europe 0.06 kcal/cap/d
- Least Developed Countries (LDCs) 0.01 kcal/cap/d
- Republic of Moldova 0.01 kcal/cap/d
- Democratic People's Republic of Korea 0.01 kcal/cap/d
- Americas 0.05 kcal/cap/d
- Northern America 0.05 kcal/cap/d
- Europe 0.03 kcal/cap/d
- United States of America 0.03 kcal/cap/d
- Micronesia 0 kcal/cap/d
- Iran (Islamic Republic of) 0 kcal/cap/d
- Micronesia (Federated States of) 0 kcal/cap/d
- Western Europe 0.02 kcal/cap/d
- Southern Europe 0.02 kcal/cap/d
- European Union (27) 0.01 kcal/cap/d
- South America 0.01 kcal/cap/d
- Caribbean 0.01 kcal/cap/d
- Eastern Africa 0.01 kcal/cap/d
- Northern Europe 0.01 kcal/cap/d
- Low Income Food Deficit Countries (LIFDCs) 0.01 kcal/cap/d
- Net Food Importing Developing Countries (NFIDCs) 0.01 kcal/cap/d
- Central Asia 0 kcal/cap/d
- Southern Africa 0 kcal/cap/d
- Southern Asia 0 kcal/cap/d
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.