Animal fats — Residuals 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
Animal fats — Residuals is currently reported for 164 countries. The highest value is 224 1000 t in Argentina; the lowest is -187 1000 t in Indonesia.
The median across all reporting countries is 0 1000 t, and the mean is -4.9 1000 t.
Over the past decade 17 countries rose and 27 fell. The largest increase was in Belarus, Republic of (up 2,400.0%), and the largest decrease in Spain (down 6,850.0%).
Animal fats — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Argentina | 224 1000 t | 2023 | — | volatile |
| 2 | Belarus, Republic of | 75 1000 t | 2023 | up 2,400.0% | volatile |
| 3 | Guatemala | 12 1000 t | 2023 | up 500.0% | volatile |
| 4 | Ecuador | 5 1000 t | 2023 | — | volatile |
| 5 | Uzbekistan | 2 1000 t | 2023 | — | volatile |
| 6 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 7 | Afghanistan, Islamic Republic of | 0 1000 t | 2023 | — | volatile |
| 7 | Angola | 0 1000 t | 2023 | — | flat |
| 7 | Albania | 0 1000 t | 2023 | — | flat |
| 7 | Armenia, Republic of | 0 1000 t | 2023 | — | flat |
| 7 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 7 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 7 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 7 | Bahrain, Kingdom of | 0 1000 t | 2023 | — | volatile |
| 7 | Bahamas, The | 0 1000 t | 2023 | — | flat |
| 7 | Belize | 0 1000 t | 2023 | — | flat |
| 7 | Barbados | 0 1000 t | 2023 | — | flat |
| 7 | Bhutan | 0 1000 t | 2023 | — | flat |
| 7 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 7 | Cameroon | 0 1000 t | 2023 | — | flat |
| 7 | Congo, Republic of | 0 1000 t | 2023 | — | flat |
| 7 | Comoros, Union of the | 0 1000 t | 2023 | — | flat |
| 7 | Cuba | 0 1000 t | 2019 | — | flat |
| 7 | Cyprus | 0 1000 t | 2023 | up 100.0% | volatile |
| 7 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 7 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 7 | Algeria | 0 1000 t | 2023 | — | flat |
| 7 | Egypt, Arab Republic of | 0 1000 t | 2023 | — | volatile |
| 7 | Estonia, Republic of | 0 1000 t | 2023 | — | volatile |
| 7 | Ethiopia, The Federal Democratic Republic of | 0 1000 t | 2023 | — | flat |
| 7 | Fiji, Republic of | 0 1000 t | 2023 | — | flat |
| 7 | Gabon | 0 1000 t | 2023 | — | flat |
| 7 | Georgia | 0 1000 t | 2023 | — | volatile |
| 7 | Guinea | 0 1000 t | 2023 | — | flat |
| 7 | Gambia, The | 0 1000 t | 2023 | — | volatile |
| 7 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 7 | Grenada | 0 1000 t | 2023 | — | flat |
| 7 | Guyana | 0 1000 t | 2023 | — | flat |
| 7 | Honduras | 0 1000 t | 2023 | up 100.0% | volatile |
| 7 | Haiti | 0 1000 t | 2023 | — | flat |
| 7 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 7 | Iraq | 0 1000 t | 2023 | — | flat |
| 7 | Israel | 0 1000 t | 2023 | — | flat |
| 7 | Jamaica | 0 1000 t | 2023 | — | flat |
| 7 | Jordan | 0 1000 t | 2023 | — | flat |
| 7 | Kazakhstan, Republic of | 0 1000 t | 2023 | — | volatile |
| 7 | Kenya | 0 1000 t | 2023 | — | flat |
| 7 | Kyrgyz Republic | 0 1000 t | 2023 | — | volatile |
| 7 | Cambodia | 0 1000 t | 2023 | — | flat |
| 7 | Kiribati | 0 1000 t | 2023 | — | flat |
| 7 | St. Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 7 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 7 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 7 | Liberia | 0 1000 t | 2023 | — | flat |
| 7 | Libya | 0 1000 t | 2023 | — | flat |
| 7 | St. Lucia | 0 1000 t | 2023 | — | flat |
| 7 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 7 | Lesotho | 0 1000 t | 2023 | — | flat |
| 7 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 7 | Madagascar, Republic of | 0 1000 t | 2023 | — | flat |
| 7 | Maldives | 0 1000 t | 2023 | — | flat |
| 7 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 7 | Marshall Islands, Republic of the | 0 1000 t | 2023 | — | flat |
| 7 | North Macedonia, Republic of | 0 1000 t | 2023 | — | flat |
| 7 | Malta | 0 1000 t | 2023 | — | flat |
| 7 | Myanmar | 0 1000 t | 2023 | — | flat |
| 7 | Montenegro | 0 1000 t | 2023 | — | flat |
| 7 | Mozambique | 0 1000 t | 2023 | — | flat |
| 7 | Mauritania, Islamic Republic of | 0 1000 t | 2023 | — | flat |
| 7 | Mauritius | 0 1000 t | 2023 | — | flat |
| 7 | Malawi | 0 1000 t | 2023 | — | flat |
| 7 | Namibia | 0 1000 t | 2023 | — | volatile |
| 7 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 7 | Niger | 0 1000 t | 2023 | — | flat |
| 7 | Nigeria | 0 1000 t | 2023 | — | flat |
| 7 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 7 | Norway | 0 1000 t | 2023 | down 100.0% | volatile |
| 7 | Nepal | 0 1000 t | 2023 | — | flat |
| 7 | Naoero, Republic of | 0 1000 t | 2023 | — | flat |
| 7 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 7 | Oman | 0 1000 t | 2023 | up 100.0% | volatile |
| 7 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 7 | Panama | 0 1000 t | 2023 | — | volatile |
| 7 | Peru | 0 1000 t | 2023 | — | flat |
| 7 | Philippines | 0 1000 t | 2023 | — | flat |
| 7 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 7 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 7 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 7 | Qatar | 0 1000 t | 2023 | — | flat |
| 7 | Rwanda | 0 1000 t | 2023 | — | flat |
| 7 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 7 | Senegal | 0 1000 t | 2023 | — | flat |
| 7 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 7 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 7 | El Salvador | 0 1000 t | 2023 | — | flat |
| 7 | Serbia, Republic of | 0 1000 t | 2023 | — | flat |
| 7 | São Tomé and Príncipe, Democratic Republic of | 0 1000 t | 2023 | — | flat |
| 7 | Suriname | 0 1000 t | 2023 | — | flat |
| 7 | Slovak Republic | 0 1000 t | 2023 | up 100.0% | volatile |
| 7 | Eswatini, Kingdom of | 0 1000 t | 2023 | — | flat |
| 7 | Seychelles | 0 1000 t | 2023 | — | flat |
| 7 | Tajikistan, Republic of | 0 1000 t | 2023 | — | flat |
| 7 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 7 | Tonga | 0 1000 t | 2023 | — | flat |
| 7 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 7 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 7 | Uganda | 0 1000 t | 2023 | — | volatile |
| 7 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 7 | St. Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 7 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 7 | Samoa | 0 1000 t | 2023 | — | flat |
| 7 | Yemen, Republic of | 0 1000 t | 2023 | — | flat |
| 7 | Zambia | 0 1000 t | 2023 | — | flat |
| 7 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 7 | China, Hong Kong SAR | 0 1000 t | 2023 | up 100.0% | volatile |
| 7 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 7 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 7 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 119 | Azerbaijan, Republic of | -1 1000 t | 2023 | — | volatile |
| 119 | Colombia | -1 1000 t | 2023 | — | volatile |
| 119 | Costa Rica | -1 1000 t | 2023 | — | volatile |
| 119 | Czech Republic | -1 1000 t | 2023 | down 133.3% | volatile |
| 119 | Germany | -1 1000 t | 2023 | down 109.1% | volatile |
| 119 | Croatia, Republic of | -1 1000 t | 2023 | up 50.0% | volatile |
| 119 | Mongolia | -1 1000 t | 2023 | up 66.7% | volatile |
| 119 | Thailand | -1 1000 t | 2023 | up 87.5% | volatile |
| 119 | Netherlands (Kingdom of the) | -1 1000 t | 2023 | up 98.8% | volatile |
| 128 | Botswana | -2 1000 t | 2023 | — | volatile |
| 128 | Switzerland | -2 1000 t | 2023 | — | volatile |
| 128 | Ghana | -2 1000 t | 2023 | — | volatile |
| 128 | Ireland | -2 1000 t | 2023 | up 50.0% | volatile |
| 128 | Latvia, Republic of | -2 1000 t | 2023 | — | volatile |
| 128 | Tunisia | -2 1000 t | 2023 | — | volatile |
| 134 | Bosnia and Herzegovina | -3 1000 t | 2023 | — | volatile |
| 134 | Canada | -3 1000 t | 2023 | down 120.0% | volatile |
| 134 | Greece | -3 1000 t | 2023 | down 50.0% | volatile |
| 134 | Iceland | -3 1000 t | 2023 | — | volatile |
| 134 | Morocco | -3 1000 t | 2023 | — | volatile |
| 134 | Portugal | -3 1000 t | 2023 | up 50.0% | volatile |
| 140 | Austria | -4 1000 t | 2023 | up 71.4% | volatile |
| 140 | Uruguay | -4 1000 t | 2023 | up 73.3% | volatile |
| 140 | Russian Federation | -4 1000 t | 2023 | down 144.4% | volatile |
| 143 | Denmark | -5 1000 t | 2023 | up 78.3% | volatile |
| 144 | Hungary | -6 1000 t | 2023 | down 200.0% | volatile |
| 145 | Sweden | -7 1000 t | 2023 | up 36.4% | volatile |
| 146 | Finland | -8 1000 t | 2023 | down 14.3% | volatile |
| 146 | Slovenia, Republic of | -8 1000 t | 2023 | — | volatile |
| 148 | United Arab Emirates | -11 1000 t | 2023 | — | volatile |
| 149 | Italy | -14 1000 t | 2023 | down 158.3% | volatile |
| 150 | Romania | -16 1000 t | 2023 | — | volatile |
| 151 | Australia | -18 1000 t | 2023 | down 185.7% | volatile |
| 151 | Australia and New Zealand | -18 1000 t | 2023 | down 145.0% | volatile |
| 153 | United Kingdom of Great Britain and Northern Ireland | -19 1000 t | 2023 | down 733.3% | volatile |
| 154 | Poland, Republic of | -26 1000 t | 2023 | down 262.5% | volatile |
| 155 | Malaysia | -32 1000 t | 2023 | — | volatile |
| 156 | South Africa | -45 1000 t | 2023 | down 2,150.0% | volatile |
| 157 | China, mainland | -48 1000 t | 2023 | down 336.4% | volatile |
| 158 | China, People's Republic of | -49 1000 t | 2023 | down 226.7% | volatile |
| 159 | Lithuania, Republic of | -56 1000 t | 2023 | down 1,966.7% | volatile |
| 160 | Belgium | -69 1000 t | 2023 | down 235.3% | volatile |
| 161 | Brazil | -121 1000 t | 2023 | — | volatile |
| 162 | Spain | -139 1000 t | 2023 | down 6,850.0% | volatile |
| 163 | France | -169 1000 t | 2023 | down 207.3% | volatile |
| 164 | Indonesia | -187 1000 t | 2023 | down 450.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Americas 118 1000 t
- South America 110 1000 t
- Land Locked Developing Countries (LLDCs) 4 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1 1000 t
- United States of America 0 1000 t
- Northern America -3 1000 t
- Côte d'Ivoire 0 1000 t
- Net Food Importing Developing Countries (NFIDCs) -9 1000 t
- Northern Europe -101 1000 t
- Western Europe -246 1000 t
- European Union (27) -539 1000 t
- World -755 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.