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 102 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 -1 1000 t, and the mean is -8.49 1000 t.
Over the past decade 18 countries rose and 35 fell. The largest increase was in Belarus (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 | 75 1000 t | 2023 | up 2,400.0% | volatile |
| 3 | Guatemala | 12 1000 t | 2023 | up 500.0% | volatile |
| 4 | Bolivia (Plurinational State of) | 6 1000 t | 2023 | up 500.0% | volatile |
| 5 | Ecuador | 5 1000 t | 2023 | — | volatile |
| 6 | Uzbekistan | 2 1000 t | 2023 | — | volatile |
| 7 | Bulgaria | 1 1000 t | 2023 | — | volatile |
| 8 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 8 | Burkina Faso | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 8 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 8 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Cote d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 8 | Cyprus | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 8 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Egypt | 0 1000 t | 2023 | — | volatile |
| 8 | Estonia | 0 1000 t | 2023 | — | volatile |
| 8 | Georgia | 0 1000 t | 2023 | — | volatile |
| 8 | Gambia | 0 1000 t | 2023 | — | volatile |
| 8 | Honduras | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Israel | 0 1000 t | 2023 | — | flat |
| 8 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 8 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 8 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 8 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 8 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 8 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Namibia | 0 1000 t | 2023 | — | volatile |
| 8 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 8 | Norway | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Oman | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 8 | Panama | 0 1000 t | 2023 | — | volatile |
| 8 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 8 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 8 | Slovakia | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Syria | 0 1000 t | 2023 | down 100.0% | flat |
| 8 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 8 | Uganda | 0 1000 t | 2023 | — | volatile |
| 8 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 8 | United States | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | Caribbean | 0 1000 t | 2023 | down 100.0% | volatile |
| 8 | China, Hong Kong SAR | 0 1000 t | 2023 | up 100.0% | volatile |
| 8 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 8 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | flat |
| 8 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 8 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 143 | Azerbaijan | -1 1000 t | 2023 | — | volatile |
| 143 | Colombia | -1 1000 t | 2023 | — | volatile |
| 143 | Costa Rica | -1 1000 t | 2023 | — | volatile |
| 143 | Czechia | -1 1000 t | 2023 | down 133.3% | volatile |
| 143 | Germany | -1 1000 t | 2023 | down 109.1% | volatile |
| 143 | Croatia | -1 1000 t | 2023 | up 50.0% | volatile |
| 143 | Mongolia | -1 1000 t | 2023 | up 66.7% | volatile |
| 143 | Thailand | -1 1000 t | 2023 | up 87.5% | volatile |
| 143 | Netherlands (Kingdom of the) | -1 1000 t | 2023 | up 98.8% | volatile |
| 152 | Botswana | -2 1000 t | 2023 | — | volatile |
| 152 | Switzerland | -2 1000 t | 2023 | — | volatile |
| 152 | Ghana | -2 1000 t | 2023 | — | volatile |
| 152 | Ireland | -2 1000 t | 2023 | up 50.0% | volatile |
| 152 | Latvia | -2 1000 t | 2023 | — | volatile |
| 152 | Tunisia | -2 1000 t | 2023 | — | volatile |
| 158 | Bosnia and Herzegovina | -3 1000 t | 2023 | — | volatile |
| 158 | Canada | -3 1000 t | 2023 | down 120.0% | volatile |
| 158 | Greece | -3 1000 t | 2023 | down 50.0% | volatile |
| 158 | Iceland | -3 1000 t | 2023 | — | volatile |
| 158 | Morocco | -3 1000 t | 2023 | — | volatile |
| 158 | Portugal | -3 1000 t | 2023 | up 50.0% | volatile |
| 164 | Austria | -4 1000 t | 2023 | up 71.4% | volatile |
| 164 | Russia | -4 1000 t | 2023 | down 144.4% | volatile |
| 164 | Uruguay | -4 1000 t | 2023 | up 73.3% | volatile |
| 164 | Russian Federation | -4 1000 t | 2023 | down 144.4% | volatile |
| 168 | Denmark | -5 1000 t | 2023 | up 78.3% | volatile |
| 168 | Turkey | -5 1000 t | 2023 | — | volatile |
| 168 | Türkiye | -5 1000 t | 2023 | — | volatile |
| 171 | Hungary | -6 1000 t | 2023 | down 200.0% | volatile |
| 172 | Sweden | -7 1000 t | 2023 | up 36.4% | volatile |
| 173 | Finland | -8 1000 t | 2023 | down 14.3% | volatile |
| 173 | Slovenia | -8 1000 t | 2023 | — | volatile |
| 175 | United Arab Emirates | -11 1000 t | 2023 | — | volatile |
| 176 | Italy | -14 1000 t | 2023 | down 158.3% | volatile |
| 177 | Romania | -16 1000 t | 2023 | — | volatile |
| 178 | Australia | -18 1000 t | 2023 | down 185.7% | volatile |
| 178 | Vietnam | -18 1000 t | 2023 | down 357.1% | volatile |
| 178 | Viet Nam | -18 1000 t | 2023 | down 357.1% | volatile |
| 178 | Australia and New Zealand | -18 1000 t | 2023 | down 145.0% | volatile |
| 182 | United Kingdom | -19 1000 t | 2023 | down 733.3% | volatile |
| 182 | United Kingdom of Great Britain and Northern Ireland | -19 1000 t | 2023 | down 733.3% | volatile |
| 184 | Poland | -26 1000 t | 2023 | down 262.5% | volatile |
| 185 | Malaysia | -32 1000 t | 2023 | — | volatile |
| 186 | South Africa | -45 1000 t | 2023 | down 2,150.0% | volatile |
| 187 | China, mainland | -48 1000 t | 2023 | down 336.4% | volatile |
| 188 | China | -49 1000 t | 2023 | down 226.7% | volatile |
| 189 | Lithuania | -56 1000 t | 2023 | down 1,966.7% | volatile |
| 190 | Belgium | -69 1000 t | 2023 | down 235.3% | volatile |
| 191 | Brazil | -121 1000 t | 2023 | — | volatile |
| 192 | Spain | -139 1000 t | 2023 | down 6,850.0% | volatile |
| 193 | France | -169 1000 t | 2023 | down 207.3% | volatile |
| 194 | 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
- Eastern Europe 22 1000 t
- Central America 11 1000 t
- Land Locked Developing Countries (LLDCs) 4 1000 t
- Central Asia 2 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1 1000 t
- Small island developing States (SIDS) 0 1000 t
- Eastern Africa 0 1000 t
- United States of America 0 1000 t
- Least Developed Countries (LDCs) -1 1000 t
- Southern Asia -1 1000 t
- Western Africa -2 1000 t
- Northern America -3 1000 t
- Northern Africa -6 1000 t
- Net Food Importing Developing Countries (NFIDCs) -9 1000 t
- Western Asia -17 1000 t
- Oceania -18 1000 t
- Southern Africa -47 1000 t
- Eastern Asia -49 1000 t
- Africa -55 1000 t
- Northern Europe -101 1000 t
- Southern Europe -171 1000 t
- South-Eastern Asia -238 1000 t
- Western Europe -246 1000 t
- Asia -304 1000 t
- Europe -496 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.