Fats, Animals, Raw — Other uses (non-food) 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 — Other uses (non-food) is currently reported for 137 countries. The highest value is 2,273 1000 t in China (People’s Republic of); the lowest is 0 1000 t in China, Hong Kong SAR.
The median across all reporting countries is 2 1000 t, and the mean is 79.34 1000 t.
Over the past decade 28 countries rose and 49 fell. The largest increase was in Nepal (up 1,200.0%), and the largest decrease in Bangladesh (down 100.0%).
Fats, Animals, Raw — Other uses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China (People’s Republic of) | 2,273 1000 t | 2023 | up 67.5% | rising |
| 2 | China, mainland | 2,232 1000 t | 2023 | up 74.0% | rising |
| 3 | Brazil | 1,062 1000 t | 2023 | up 35.8% | rising |
| 4 | Germany | 674 1000 t | 2023 | up 74.6% | rising |
| 5 | Russian Federation | 645 1000 t | 2023 | up 25.5% | flat |
| 6 | Spain | 584 1000 t | 2023 | up 22.4% | rising |
| 7 | Netherlands (Kingdom of the) | 482 1000 t | 2023 | up 354.7% | volatile |
| 8 | Poland | 287 1000 t | 2023 | up 12.1% | flat |
| 9 | Canada | 252 1000 t | 2023 | down 4.5% | falling |
| 10 | France | 249 1000 t | 2023 | up 522.5% | volatile |
| 11 | Mexico | 243 1000 t | 2023 | down 46.2% | falling |
| 12 | Republic of Korea | 185 1000 t | 2023 | up 18.6% | flat |
| 13 | United Kingdom of Great Britain and Northern Ireland | 143 1000 t | 2023 | up 53.8% | volatile |
| 14 | Belgium | 134 1000 t | 2023 | up 21.8% | falling |
| 15 | Ukraine | 113 1000 t | 2023 | up 18.9% | rising |
| 16 | Serbia, Republic of | 94 1000 t | 2023 | up 13.3% | rising |
| 17 | Ireland | 93 1000 t | 2023 | up 72.2% | rising |
| 18 | Denmark | 82 1000 t | 2023 | down 33.3% | falling |
| 19 | Belarus, Republic of | 76 1000 t | 2023 | down 22.4% | flat |
| 20 | Romania | 67 1000 t | 2023 | down 5.6% | falling |
| 21 | Italy | 64 1000 t | 2023 | down 65.4% | falling |
| 22 | Argentina | 53 1000 t | 2023 | unchanged | rising |
| 22 | Australia and New Zealand | 53 1000 t | 2023 | down 44.2% | falling |
| 24 | South Africa | 52 1000 t | 2023 | down 3.7% | falling |
| 25 | Australia | 47 1000 t | 2023 | down 45.3% | falling |
| 26 | Czechia | 45 1000 t | 2023 | down 53.6% | falling |
| 27 | Greece | 41 1000 t | 2023 | down 46.1% | falling |
| 27 | China, Taiwan Province of | 41 1000 t | 2023 | down 44.6% | falling |
| 29 | Chile | 37 1000 t | 2023 | up 825.0% | volatile |
| 30 | India | 35 1000 t | 2023 | down 66.7% | falling |
| 31 | Dominican Republic | 34 1000 t | 2023 | up 78.9% | rising |
| 31 | Portugal | 34 1000 t | 2023 | down 12.8% | falling |
| 33 | Kazakhstan, Republic of | 29 1000 t | 2023 | down 21.6% | falling |
| 34 | Uzbekistan, Republic of | 28 1000 t | 2023 | up 47.4% | rising |
| 35 | Guatemala | 24 1000 t | 2023 | up 50.0% | falling |
| 36 | Austria | 22 1000 t | 2023 | down 40.5% | falling |
| 37 | Switzerland | 18 1000 t | 2023 | down 10.0% | falling |
| 38 | Finland | 14 1000 t | 2023 | down 39.1% | volatile |
| 39 | Bulgaria | 13 1000 t | 2023 | down 13.3% | flat |
| 39 | Nepal | 13 1000 t | 2023 | up 1,200.0% | volatile |
| 41 | Costa Rica | 12 1000 t | 2023 | up 50.0% | rising |
| 41 | Lithuania | 12 1000 t | 2023 | down 33.3% | rising |
| 41 | Sweden | 12 1000 t | 2023 | down 25.0% | volatile |
| 44 | Tajikistan, Republic of | 11 1000 t | 2023 | up 266.7% | rising |
| 45 | Thailand | 10 1000 t | 2023 | unchanged | rising |
| 46 | Hungary | 9 1000 t | 2023 | down 10.0% | falling |
| 46 | Kyrgyz Republic | 9 1000 t | 2023 | down 10.0% | falling |
| 48 | Botswana | 8 1000 t | 2023 | up 60.0% | rising |
| 48 | Panama | 8 1000 t | 2023 | down 27.3% | falling |
| 48 | Paraguay | 8 1000 t | 2023 | up 300.0% | volatile |
| 51 | Israel | 7 1000 t | 2023 | down 81.6% | volatile |
| 51 | Nicaragua | 7 1000 t | 2023 | down 41.7% | volatile |
| 53 | Cyprus | 6 1000 t | 2023 | down 14.3% | falling |
| 53 | Georgia | 6 1000 t | 2023 | up 50.0% | rising |
| 53 | New Zealand | 6 1000 t | 2023 | down 33.3% | rising |
| 56 | Colombia | 5 1000 t | 2023 | down 50.0% | falling |
| 56 | Latvia | 5 1000 t | 2023 | down 16.7% | flat |
| 56 | Mongolia | 5 1000 t | 2023 | — | volatile |
| 56 | Peru | 5 1000 t | 2023 | down 70.6% | volatile |
| 56 | Saudi Arabia | 5 1000 t | 2023 | unchanged | rising |
| 56 | Slovenia | 5 1000 t | 2023 | unchanged | rising |
| 62 | Ecuador | 4 1000 t | 2023 | down 20.0% | falling |
| 63 | United Arab Emirates | 3 1000 t | 2023 | — | volatile |
| 63 | Cuba | 3 1000 t | 2019 | up 50.0% | rising |
| 63 | Kuwait | 3 1000 t | 2023 | up 50.0% | rising |
| 63 | Mozambique, Republic of | 3 1000 t | 2023 | — | volatile |
| 67 | Bosnia and Herzegovina | 2 1000 t | 2023 | up 100.0% | rising |
| 67 | Cameroon | 2 1000 t | 2023 | unchanged | flat |
| 67 | Estonia | 2 1000 t | 2023 | down 66.7% | volatile |
| 67 | Haiti | 2 1000 t | 2023 | down 60.0% | volatile |
| 67 | Philippines | 2 1000 t | 2023 | down 83.3% | volatile |
| 67 | Uruguay | 2 1000 t | 2023 | down 80.0% | volatile |
| 73 | Djibouti | 1 1000 t | 2021 | — | volatile |
| 73 | Egypt, Arab Republic of | 1 1000 t | 2023 | — | volatile |
| 73 | Honduras | 1 1000 t | 2023 | down 96.3% | volatile |
| 73 | Croatia | 1 1000 t | 2023 | down 80.0% | volatile |
| 73 | Indonesia | 1 1000 t | 2023 | — | volatile |
| 73 | Kenya | 1 1000 t | 2023 | unchanged | falling |
| 73 | Luxembourg | 1 1000 t | 2023 | down 50.0% | falling |
| 73 | Morocco | 1 1000 t | 2023 | down 50.0% | falling |
| 73 | Madagascar, Republic of | 1 1000 t | 2023 | unchanged | falling |
| 73 | North Macedonia, Republic of | 1 1000 t | 2023 | unchanged | volatile |
| 73 | Malaysia | 1 1000 t | 2023 | down 50.0% | volatile |
| 73 | Namibia | 1 1000 t | 2023 | — | volatile |
| 73 | Norway | 1 1000 t | 2023 | down 50.0% | falling |
| 73 | Slovak Republic | 1 1000 t | 2023 | unchanged | falling |
| 87 | Angola | 0 1000 t | 2023 | — | flat |
| 87 | Albania | 0 1000 t | 2023 | — | flat |
| 87 | Armenia, Republic of | 0 1000 t | 2023 | — | flat |
| 87 | Azerbaijan, Republic of | 0 1000 t | 2023 | — | flat |
| 87 | Bangladesh | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Bahamas, The | 0 1000 t | 2023 | — | flat |
| 87 | Belize | 0 1000 t | 2023 | — | flat |
| 87 | Barbados | 0 1000 t | 2023 | — | flat |
| 87 | Congo, Republic of | 0 1000 t | 2021 | — | flat |
| 87 | Comoros, Union of the | 0 1000 t | 2018 | — | flat |
| 87 | Algeria | 0 1000 t | 2023 | — | flat |
| 87 | Ethiopia, The Federal Democratic Republic of | 0 1000 t | 2023 | — | volatile |
| 87 | Fiji, Republic of | 0 1000 t | 2021 | — | volatile |
| 87 | Gabon | 0 1000 t | 2023 | — | flat |
| 87 | Ghana | 0 1000 t | 2023 | — | flat |
| 87 | Gambia, The | 0 1000 t | 2019 | — | flat |
| 87 | Guyana | 0 1000 t | 2023 | — | flat |
| 87 | Iraq | 0 1000 t | 2023 | — | flat |
| 87 | Iceland | 0 1000 t | 2023 | — | flat |
| 87 | Jamaica | 0 1000 t | 2023 | — | flat |
| 87 | Jordan | 0 1000 t | 2023 | — | flat |
| 87 | Lebanon | 0 1000 t | 2023 | — | flat |
| 87 | Libya | 0 1000 t | 2021 | — | flat |
| 87 | St. Lucia | 0 1000 t | 2018 | — | flat |
| 87 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 87 | Malta | 0 1000 t | 2023 | — | flat |
| 87 | Myanmar | 0 1000 t | 2022 | — | volatile |
| 87 | Montenegro | 0 1000 t | 2023 | — | flat |
| 87 | Mauritania, Islamic Republic of | 0 1000 t | 2018 | — | flat |
| 87 | Mauritius | 0 1000 t | 2022 | — | flat |
| 87 | Malawi | 0 1000 t | 2023 | — | flat |
| 87 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 87 | Niger | 0 1000 t | 2023 | — | flat |
| 87 | Nigeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Oman | 0 1000 t | 2023 | — | flat |
| 87 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | French Polynesia | 0 1000 t | 2018 | — | flat |
| 87 | Rwanda | 0 1000 t | 2023 | — | flat |
| 87 | Senegal | 0 1000 t | 2023 | — | volatile |
| 87 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 87 | Suriname | 0 1000 t | 2023 | — | flat |
| 87 | Eswatini, Kingdom of | 0 1000 t | 2023 | — | flat |
| 87 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 87 | Trinidad and Tobago | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Tunisia | 0 1000 t | 2023 | — | flat |
| 87 | Uganda | 0 1000 t | 2023 | — | flat |
| 87 | Samoa | 0 1000 t | 2022 | — | flat |
| 87 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | China, Hong Kong 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 12,995 1000 t
- Europe 4,030 1000 t
- Americas 5,708 1000 t
- Asia 3,132 1000 t
- Northern America 4,156 1000 t
- Eastern Asia 2,863 1000 t
- United States of America 3,904 1000 t
- Eastern Europe 1,258 1000 t
- European Union (27) 2,940 1000 t
- South America 1,217 1000 t
- Western Europe 1,581 1000 t
- Southern Europe 826 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.