Fats, Animals, Raw — Export quantity 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 — Export quantity is currently reported for 154 countries. The highest value is 1,052 1000 t in Netherlands (Kingdom of the); the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 1 1000 t, and the mean is 50.8 1000 t.
Over the past decade 44 countries rose and 22 fell. The largest increase was in India (up 8,200.0%), and the largest decrease in Belarus (down 100.0%).
Fats, Animals, Raw — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Netherlands (Kingdom of the) | 1,052 1000 t | 2023 | up 12.2% | rising |
| 2 | Germany | 745 1000 t | 2023 | up 14.6% | rising |
| 3 | Australia and New Zealand | 734 1000 t | 2023 | up 28.8% | rising |
| 4 | Australia | 656 1000 t | 2023 | up 47.4% | rising |
| 5 | Malaysia | 535 1000 t | 2023 | up 114.0% | rising |
| 6 | France | 410 1000 t | 2023 | up 11.4% | rising |
| 7 | Brazil | 399 1000 t | 2023 | up 1,800.0% | volatile |
| 7 | Canada | 399 1000 t | 2023 | up 44.6% | rising |
| 9 | Belgium | 311 1000 t | 2023 | up 22.0% | rising |
| 10 | Italy | 262 1000 t | 2023 | up 62.7% | rising |
| 11 | Spain | 237 1000 t | 2023 | up 86.6% | rising |
| 12 | Indonesia | 206 1000 t | 2023 | up 312.0% | volatile |
| 13 | Poland | 182 1000 t | 2023 | up 27.3% | rising |
| 14 | Argentina | 171 1000 t | 2023 | up 14.0% | falling |
| 15 | India | 166 1000 t | 2023 | up 8,200.0% | volatile |
| 16 | Uruguay | 141 1000 t | 2023 | up 107.4% | rising |
| 17 | United Kingdom of Great Britain and Northern Ireland | 127 1000 t | 2023 | down 29.8% | falling |
| 18 | Denmark | 123 1000 t | 2023 | up 3.4% | rising |
| 19 | Ireland | 122 1000 t | 2023 | up 84.8% | rising |
| 20 | Russian Federation | 113 1000 t | 2023 | up 8.7% | rising |
| 21 | New Zealand | 78 1000 t | 2023 | down 37.6% | falling |
| 22 | Paraguay | 75 1000 t | 2023 | up 275.0% | rising |
| 23 | Mexico | 63 1000 t | 2023 | up 231.6% | rising |
| 24 | Sweden | 58 1000 t | 2023 | up 5.5% | rising |
| 25 | Guatemala | 38 1000 t | 2023 | up 245.5% | volatile |
| 26 | Portugal | 36 1000 t | 2023 | up 89.5% | rising |
| 27 | Austria | 34 1000 t | 2023 | down 20.9% | falling |
| 28 | Viet Nam | 32 1000 t | 2023 | up 1,500.0% | volatile |
| 29 | Hungary | 28 1000 t | 2023 | up 7.7% | rising |
| 30 | Slovakia | 23 1000 t | 2023 | up 9.5% | volatile |
| 31 | Chile | 22 1000 t | 2023 | down 8.3% | rising |
| 32 | China | 21 1000 t | 2023 | down 44.7% | falling |
| 33 | Greece | 20 1000 t | 2023 | up 185.7% | volatile |
| 33 | Republic of Korea | 20 1000 t | 2023 | up 53.8% | volatile |
| 35 | China, mainland | 16 1000 t | 2023 | up 33.3% | rising |
| 36 | Lithuania | 15 1000 t | 2023 | up 50.0% | rising |
| 37 | Ukraine | 12 1000 t | 2023 | down 60.0% | flat |
| 38 | Czechia | 11 1000 t | 2023 | up 57.1% | rising |
| 39 | United Arab Emirates | 10 1000 t | 2023 | up 400.0% | volatile |
| 39 | Croatia | 10 1000 t | 2023 | up 66.7% | rising |
| 39 | Slovenia | 10 1000 t | 2023 | up 900.0% | volatile |
| 42 | Bolivia (Plurinational State of) | 8 1000 t | 2023 | up 14.3% | falling |
| 43 | Kazakhstan | 6 1000 t | 2023 | up 500.0% | volatile |
| 43 | Serbia | 6 1000 t | 2023 | up 50.0% | rising |
| 45 | Bulgaria | 5 1000 t | 2023 | — | volatile |
| 45 | Mongolia | 5 1000 t | 2023 | — | volatile |
| 45 | Türkiye | 5 1000 t | 2023 | up 150.0% | volatile |
| 48 | Switzerland | 4 1000 t | 2023 | up 300.0% | rising |
| 48 | Ecuador | 4 1000 t | 2023 | up 33.3% | rising |
| 48 | Finland | 4 1000 t | 2023 | down 20.0% | falling |
| 48 | Thailand | 4 1000 t | 2023 | down 90.0% | volatile |
| 48 | China, Taiwan Province of | 4 1000 t | 2023 | down 33.3% | falling |
| 53 | Azerbaijan | 3 1000 t | 2023 | down 81.2% | volatile |
| 53 | Colombia | 3 1000 t | 2023 | — | volatile |
| 53 | Estonia | 3 1000 t | 2023 | up 200.0% | volatile |
| 53 | Iceland | 3 1000 t | 2023 | — | volatile |
| 53 | Romania | 3 1000 t | 2023 | unchanged | falling |
| 53 | El Salvador | 3 1000 t | 2023 | — | volatile |
| 53 | Tunisia | 3 1000 t | 2023 | up 200.0% | volatile |
| 60 | Botswana | 2 1000 t | 2023 | — | volatile |
| 60 | Nicaragua | 2 1000 t | 2023 | up 100.0% | volatile |
| 60 | Panama | 2 1000 t | 2023 | — | volatile |
| 60 | Iran (Islamic Republic of) | 2 1000 t | 2023 | down 83.3% | volatile |
| 64 | Albania | 1 1000 t | 2023 | — | volatile |
| 64 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 64 | Costa Rica | 1 1000 t | 2023 | down 50.0% | volatile |
| 64 | Cyprus | 1 1000 t | 2023 | unchanged | flat |
| 64 | Georgia | 1 1000 t | 2023 | — | volatile |
| 64 | Honduras | 1 1000 t | 2023 | down 50.0% | volatile |
| 64 | Jordan | 1 1000 t | 2023 | — | volatile |
| 64 | Lebanon | 1 1000 t | 2023 | unchanged | rising |
| 64 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 64 | Latvia | 1 1000 t | 2023 | unchanged | volatile |
| 64 | Norway | 1 1000 t | 2023 | down 50.0% | rising |
| 64 | Philippines | 1 1000 t | 2023 | unchanged | volatile |
| 64 | Saudi Arabia | 1 1000 t | 2023 | — | volatile |
| 64 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 64 | Caribbean | 1 1000 t | 2023 | — | volatile |
| 64 | China, Hong Kong SAR | 1 1000 t | 2023 | down 94.7% | volatile |
| 80 | Angola | 0 1000 t | 2023 | — | flat |
| 80 | Armenia | 0 1000 t | 2023 | — | flat |
| 80 | Antigua and Barbuda | 0 1000 t | 2022 | — | flat |
| 80 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 80 | Bahamas | 0 1000 t | 2023 | — | flat |
| 80 | Belarus | 0 1000 t | 2023 | down 100.0% | falling |
| 80 | Belize | 0 1000 t | 2023 | — | flat |
| 80 | Barbados | 0 1000 t | 2023 | — | flat |
| 80 | Cameroon | 0 1000 t | 2023 | — | flat |
| 80 | Djibouti | 0 1000 t | 2023 | — | flat |
| 80 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 80 | Algeria | 0 1000 t | 2023 | — | flat |
| 80 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Ethiopia | 0 1000 t | 2021 | — | flat |
| 80 | Fiji | 0 1000 t | 2023 | — | flat |
| 80 | Gabon | 0 1000 t | 2023 | — | flat |
| 80 | Ghana | 0 1000 t | 2023 | — | flat |
| 80 | Guinea | 0 1000 t | 2023 | — | flat |
| 80 | Gambia | 0 1000 t | 2023 | — | volatile |
| 80 | Guyana | 0 1000 t | 2023 | — | flat |
| 80 | Haiti | 0 1000 t | 2023 | — | flat |
| 80 | Iraq | 0 1000 t | 2023 | — | flat |
| 80 | Israel | 0 1000 t | 2023 | — | flat |
| 80 | Jamaica | 0 1000 t | 2023 | — | flat |
| 80 | Kenya | 0 1000 t | 2023 | — | volatile |
| 80 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 80 | Cambodia | 0 1000 t | 2020 | — | flat |
| 80 | Saint Kitts and Nevis | 0 1000 t | 2016 | — | flat |
| 80 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Liberia | 0 1000 t | 2023 | — | flat |
| 80 | Saint Lucia | 0 1000 t | 2020 | — | flat |
| 80 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 80 | Lesotho | 0 1000 t | 2022 | — | flat |
| 80 | Morocco | 0 1000 t | 2023 | — | flat |
| 80 | Madagascar | 0 1000 t | 2023 | — | flat |
| 80 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 80 | Malta | 0 1000 t | 2021 | — | flat |
| 80 | Myanmar | 0 1000 t | 2022 | — | volatile |
| 80 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 80 | Mozambique | 0 1000 t | 2023 | — | flat |
| 80 | Mauritius | 0 1000 t | 2023 | — | flat |
| 80 | Malawi | 0 1000 t | 2023 | — | flat |
| 80 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Niger | 0 1000 t | 2020 | — | flat |
| 80 | Nigeria | 0 1000 t | 2023 | — | flat |
| 80 | Nepal | 0 1000 t | 2023 | — | flat |
| 80 | Oman | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 80 | Peru | 0 1000 t | 2023 | — | flat |
| 80 | Papua New Guinea | 0 1000 t | 2021 | — | flat |
| 80 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 80 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 80 | Senegal | 0 1000 t | 2023 | — | volatile |
| 80 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 80 | Suriname | 0 1000 t | 2021 | — | flat |
| 80 | Eswatini | 0 1000 t | 2022 | — | flat |
| 80 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 80 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 80 | Uganda | 0 1000 t | 2023 | — | volatile |
| 80 | Vanuatu | 0 1000 t | 2019 | — | flat |
| 80 | Samoa | 0 1000 t | 2021 | — | flat |
| 80 | Yemen | 0 1000 t | 2023 | — | volatile |
| 80 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 80 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 80 | Melanesia | 0 1000 t | 2023 | — | flat |
| 80 | Polynesia | 0 1000 t | 2023 | — | flat |
| 80 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 80 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 80 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2021 | — | volatile |
| 80 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 80 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 80 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 80 | 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 7,401 1000 t
- Europe 3,978 1000 t
- European Union (27) 3,708 1000 t
- Western Europe 2,558 1000 t
- Americas 1,632 1000 t
- Asia 1,033 1000 t
- South America 824 1000 t
- South-eastern Asia 777 1000 t
- Oceania 734 1000 t
- Northern America 698 1000 t
- Southern Europe 584 1000 t
- Northern Europe 459 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.