Fats, Animals, Raw — Losses 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
Fats, Animals, Raw — Losses is currently reported for 181 countries. The highest value is 219 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 5.47 1000 t.
Over the past decade 32 countries rose and 11 fell. The largest increase was in Malaysia (up 1,500.0%), and the largest decrease in Madagascar (down 100.0%).
Fats, Animals, Raw — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 219 1000 t | 2023 | up 5.3% | flat |
| 2 | China, mainland | 214 1000 t | 2023 | up 5.9% | flat |
| 3 | India | 136 1000 t | 2023 | up 166.7% | rising |
| 4 | Germany | 47 1000 t | 2023 | up 571.4% | volatile |
| 5 | Brazil | 33 1000 t | 2023 | up 17.9% | rising |
| 6 | Australia and New Zealand | 26 1000 t | 2023 | up 52.9% | rising |
| 7 | Argentina | 23 1000 t | 2023 | up 15.0% | rising |
| 8 | Poland | 21 1000 t | 2023 | up 600.0% | volatile |
| 9 | Australia | 18 1000 t | 2023 | up 38.5% | rising |
| 9 | Spain | 18 1000 t | 2023 | up 157.1% | rising |
| 11 | Malaysia | 16 1000 t | 2023 | up 1,500.0% | volatile |
| 12 | Viet Nam | 15 1000 t | 2023 | up 36.4% | rising |
| 13 | Mexico | 14 1000 t | 2023 | up 27.3% | rising |
| 14 | Philippines | 12 1000 t | 2023 | down 7.7% | flat |
| 15 | France | 11 1000 t | 2023 | unchanged | flat |
| 15 | Pakistan | 11 1000 t | 2023 | up 57.1% | rising |
| 17 | United Kingdom of Great Britain and Northern Ireland | 10 1000 t | 2023 | down 37.5% | falling |
| 18 | Russian Federation | 8 1000 t | 2023 | up 33.3% | rising |
| 19 | Ireland | 7 1000 t | 2023 | up 40.0% | rising |
| 19 | New Zealand | 7 1000 t | 2023 | up 40.0% | rising |
| 21 | Peru | 6 1000 t | 2023 | up 20.0% | rising |
| 21 | Republic of Korea | 6 1000 t | 2023 | up 500.0% | volatile |
| 23 | Denmark | 5 1000 t | 2023 | down 16.7% | volatile |
| 23 | Saudi Arabia | 5 1000 t | 2023 | up 66.7% | rising |
| 23 | China, Taiwan Province of | 5 1000 t | 2023 | unchanged | falling |
| 26 | Colombia | 4 1000 t | 2023 | up 33.3% | rising |
| 26 | Italy | 4 1000 t | 2023 | up 300.0% | rising |
| 26 | Netherlands (Kingdom of the) | 4 1000 t | 2023 | up 100.0% | rising |
| 29 | Bangladesh | 3 1000 t | 2023 | unchanged | flat |
| 29 | Canada | 3 1000 t | 2023 | up 200.0% | rising |
| 29 | Ecuador | 3 1000 t | 2023 | unchanged | flat |
| 29 | Portugal | 3 1000 t | 2023 | — | volatile |
| 29 | Thailand | 3 1000 t | 2023 | unchanged | flat |
| 29 | Uruguay | 3 1000 t | 2023 | unchanged | rising |
| 29 | Uzbekistan | 3 1000 t | 2023 | unchanged | rising |
| 29 | Iran (Islamic Republic of) | 3 1000 t | 2023 | unchanged | flat |
| 29 | Türkiye | 3 1000 t | 2023 | up 200.0% | volatile |
| 38 | Austria | 2 1000 t | 2023 | unchanged | rising |
| 38 | Belarus | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Switzerland | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Chile | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Czechia | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Egypt | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Indonesia | 2 1000 t | 2023 | down 33.3% | flat |
| 38 | Nigeria | 2 1000 t | 2023 | unchanged | flat |
| 38 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Syrian Arab Republic | 2 1000 t | 2023 | up 100.0% | rising |
| 48 | Afghanistan | 1 1000 t | 2023 | unchanged | flat |
| 48 | Angola | 1 1000 t | 2023 | unchanged | flat |
| 48 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 48 | Belgium | 1 1000 t | 2023 | down 50.0% | falling |
| 48 | Burkina Faso | 1 1000 t | 2023 | unchanged | flat |
| 48 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 48 | Cameroon | 1 1000 t | 2023 | — | volatile |
| 48 | Cuba | 1 1000 t | 2019 | unchanged | flat |
| 48 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 48 | Algeria | 1 1000 t | 2023 | unchanged | flat |
| 48 | Ethiopia | 1 1000 t | 2023 | unchanged | flat |
| 48 | Finland | 1 1000 t | 2023 | unchanged | flat |
| 48 | Greece | 1 1000 t | 2023 | — | volatile |
| 48 | Guatemala | 1 1000 t | 2023 | unchanged | flat |
| 48 | Hungary | 1 1000 t | 2023 | unchanged | flat |
| 48 | Kazakhstan | 1 1000 t | 2023 | unchanged | flat |
| 48 | Kenya | 1 1000 t | 2023 | down 50.0% | falling |
| 48 | Kyrgyzstan | 1 1000 t | 2023 | — | volatile |
| 48 | Cambodia | 1 1000 t | 2023 | unchanged | flat |
| 48 | Morocco | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Myanmar | 1 1000 t | 2023 | down 66.7% | falling |
| 48 | Mongolia | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Malawi | 1 1000 t | 2023 | — | volatile |
| 48 | Nicaragua | 1 1000 t | 2023 | — | volatile |
| 48 | Norway | 1 1000 t | 2023 | — | volatile |
| 48 | Paraguay | 1 1000 t | 2023 | unchanged | rising |
| 48 | Tajikistan | 1 1000 t | 2023 | — | volatile |
| 48 | Turkmenistan | 1 1000 t | 2023 | unchanged | flat |
| 48 | Uganda | 1 1000 t | 2023 | unchanged | flat |
| 48 | Ukraine | 1 1000 t | 2023 | unchanged | flat |
| 48 | Yemen | 1 1000 t | 2023 | unchanged | flat |
| 48 | Zambia | 1 1000 t | 2023 | unchanged | flat |
| 48 | Zimbabwe | 1 1000 t | 2023 | — | volatile |
| 48 | Caribbean | 1 1000 t | 2023 | down 50.0% | falling |
| 48 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 50.0% | falling |
| 48 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 48 | United Republic of Tanzania | 1 1000 t | 2023 | unchanged | flat |
| 48 | Democratic People's Republic of Korea | 1 1000 t | 2018 | — | volatile |
| 86 | Albania | 0 1000 t | 2023 | — | flat |
| 86 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 86 | Armenia | 0 1000 t | 2023 | — | flat |
| 86 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 86 | Bahrain | 0 1000 t | 2023 | — | flat |
| 86 | Bahamas | 0 1000 t | 2023 | — | flat |
| 86 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 86 | Belize | 0 1000 t | 2023 | — | flat |
| 86 | Barbados | 0 1000 t | 2023 | — | flat |
| 86 | Bhutan | 0 1000 t | 2023 | — | flat |
| 86 | Botswana | 0 1000 t | 2023 | — | flat |
| 86 | Congo | 0 1000 t | 2023 | — | flat |
| 86 | Comoros | 0 1000 t | 2023 | — | flat |
| 86 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 86 | Cyprus | 0 1000 t | 2023 | — | flat |
| 86 | Djibouti | 0 1000 t | 2023 | — | flat |
| 86 | Estonia | 0 1000 t | 2023 | — | flat |
| 86 | Fiji | 0 1000 t | 2023 | — | flat |
| 86 | Gabon | 0 1000 t | 2023 | — | flat |
| 86 | Georgia | 0 1000 t | 2023 | — | flat |
| 86 | Ghana | 0 1000 t | 2023 | — | flat |
| 86 | Guinea | 0 1000 t | 2023 | — | flat |
| 86 | Gambia | 0 1000 t | 2023 | — | flat |
| 86 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 86 | Grenada | 0 1000 t | 2023 | — | flat |
| 86 | Guyana | 0 1000 t | 2023 | — | flat |
| 86 | Honduras | 0 1000 t | 2023 | — | flat |
| 86 | Croatia | 0 1000 t | 2023 | — | flat |
| 86 | Haiti | 0 1000 t | 2023 | — | flat |
| 86 | Iraq | 0 1000 t | 2023 | — | flat |
| 86 | Iceland | 0 1000 t | 2023 | — | flat |
| 86 | Israel | 0 1000 t | 2023 | — | volatile |
| 86 | Jamaica | 0 1000 t | 2023 | — | flat |
| 86 | Jordan | 0 1000 t | 2023 | — | flat |
| 86 | Kiribati | 0 1000 t | 2023 | — | flat |
| 86 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 86 | Kuwait | 0 1000 t | 2023 | — | flat |
| 86 | Lebanon | 0 1000 t | 2023 | — | flat |
| 86 | Liberia | 0 1000 t | 2023 | — | flat |
| 86 | Libya | 0 1000 t | 2023 | — | flat |
| 86 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 86 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 86 | Lesotho | 0 1000 t | 2023 | — | flat |
| 86 | Lithuania | 0 1000 t | 2023 | — | flat |
| 86 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 86 | Latvia | 0 1000 t | 2023 | — | flat |
| 86 | Madagascar | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 86 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 86 | Malta | 0 1000 t | 2023 | — | flat |
| 86 | Montenegro | 0 1000 t | 2023 | — | flat |
| 86 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 86 | Mauritania | 0 1000 t | 2023 | — | flat |
| 86 | Mauritius | 0 1000 t | 2023 | — | flat |
| 86 | Namibia | 0 1000 t | 2023 | — | flat |
| 86 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 86 | Niger | 0 1000 t | 2023 | — | flat |
| 86 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Nauru | 0 1000 t | 2023 | — | flat |
| 86 | Oman | 0 1000 t | 2023 | — | flat |
| 86 | Panama | 0 1000 t | 2023 | — | flat |
| 86 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 86 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 86 | Qatar | 0 1000 t | 2023 | — | flat |
| 86 | Romania | 0 1000 t | 2023 | — | volatile |
| 86 | Rwanda | 0 1000 t | 2023 | — | flat |
| 86 | Senegal | 0 1000 t | 2023 | — | flat |
| 86 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 86 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 86 | El Salvador | 0 1000 t | 2023 | — | flat |
| 86 | Serbia | 0 1000 t | 2023 | — | flat |
| 86 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 86 | Suriname | 0 1000 t | 2023 | — | flat |
| 86 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 86 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 86 | Sweden | 0 1000 t | 2023 | — | flat |
| 86 | Eswatini | 0 1000 t | 2023 | — | flat |
| 86 | Seychelles | 0 1000 t | 2023 | — | flat |
| 86 | Tonga | 0 1000 t | 2023 | — | flat |
| 86 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 86 | Tunisia | 0 1000 t | 2023 | — | flat |
| 86 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 86 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 86 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 86 | Samoa | 0 1000 t | 2023 | — | flat |
| 86 | Micronesia | 0 1000 t | 2023 | — | flat |
| 86 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 86 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 86 | Melanesia | 0 1000 t | 2023 | — | flat |
| 86 | Polynesia | 0 1000 t | 2023 | — | flat |
| 86 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 86 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 86 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 86 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 86 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 86 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,275 1000 t
- Americas 606 1000 t
- Northern America 509 1000 t
- United States of America 506 1000 t
- Asia 464 1000 t
- Eastern Asia 238 1000 t
- Southern Asia 155 1000 t
- Europe 154 1000 t
- European Union (27) 130 1000 t
- South America 79 1000 t
- Western Europe 68 1000 t
- South-eastern Asia 51 1000 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.