Animal fats — 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
Animal fats — Export quantity is currently reported for 126 countries. The highest value is 1,647 1000 t in Netherlands (Kingdom of the); the lowest is 0 1000 t in Côte d'Ivoire.
The median across all reporting countries is 8.5 1000 t, and the mean is 110.79 1000 t.
Over the past decade 64 countries rose and 24 fell. The largest increase was in Brazil (up 1,303.5%), and the largest decrease in Israel (down 100.0%).
Animal fats — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Netherlands (Kingdom of the) | 1,647 1000 t | 2023 | up 32.3% | rising |
| 2 | Australia and New Zealand | 1,397 1000 t | 2023 | up 24.7% | rising |
| 3 | Germany | 1,156 1000 t | 2023 | up 17.4% | rising |
| 4 | France | 751 1000 t | 2023 | up 3.0% | falling |
| 5 | New Zealand | 730 1000 t | 2023 | up 17.7% | rising |
| 6 | Belgium | 715 1000 t | 2023 | up 45.0% | rising |
| 7 | Australia | 667 1000 t | 2023 | up 33.7% | rising |
| 8 | Malaysia | 542 1000 t | 2023 | up 111.7% | rising |
| 9 | United States | 462 1000 t | 2023 | down 56.2% | falling |
| 10 | Denmark | 409 1000 t | 2023 | up 36.8% | rising |
| 11 | Canada | 408 1000 t | 2023 | up 43.2% | rising |
| 12 | Brazil | 407 1000 t | 2023 | up 1,303.5% | volatile |
| 13 | Ireland | 402 1000 t | 2023 | up 56.4% | rising |
| 14 | Spain | 350 1000 t | 2023 | up 64.3% | rising |
| 15 | Poland | 318 1000 t | 2023 | up 39.5% | rising |
| 16 | Italy | 305 1000 t | 2023 | up 63.1% | rising |
| 17 | Peru | 225 1000 t | 2023 | up 78.6% | falling |
| 18 | United Kingdom | 222 1000 t | 2023 | down 20.4% | falling |
| 18 | United Kingdom of Great Britain and Northern Ireland | 222 1000 t | 2023 | down 20.4% | falling |
| 20 | Indonesia | 207 1000 t | 2023 | up 305.9% | volatile |
| 21 | India | 188 1000 t | 2023 | up 526.7% | volatile |
| 22 | Argentina | 187 1000 t | 2023 | up 10.7% | falling |
| 23 | Uruguay | 153 1000 t | 2023 | up 66.3% | rising |
| 24 | Russia | 122 1000 t | 2023 | up 11.9% | rising |
| 24 | Russian Federation | 122 1000 t | 2023 | up 11.9% | rising |
| 26 | Norway | 118 1000 t | 2023 | up 66.2% | rising |
| 27 | Chile | 116 1000 t | 2023 | up 22.1% | rising |
| 28 | Mexico | 94 1000 t | 2023 | up 123.8% | rising |
| 29 | Lithuania | 88 1000 t | 2023 | up 39.7% | rising |
| 30 | Paraguay | 76 1000 t | 2023 | up 280.0% | rising |
| 31 | Sweden | 70 1000 t | 2023 | up 6.1% | flat |
| 32 | Vietnam | 60 1000 t | 2023 | up 17.6% | rising |
| 32 | Viet Nam | 60 1000 t | 2023 | up 17.6% | rising |
| 34 | Austria | 56 1000 t | 2023 | down 8.2% | falling |
| 35 | Portugal | 50 1000 t | 2023 | up 11.1% | flat |
| 36 | China | 48 1000 t | 2023 | down 20.0% | falling |
| 37 | Finland | 45 1000 t | 2023 | up 7.1% | flat |
| 38 | Hungary | 43 1000 t | 2023 | up 48.3% | rising |
| 39 | United Arab Emirates | 40 1000 t | 2023 | up 344.4% | volatile |
| 39 | Iceland | 40 1000 t | 2023 | down 32.2% | falling |
| 39 | China, mainland | 40 1000 t | 2023 | up 21.2% | rising |
| 42 | Guatemala | 38 1000 t | 2023 | up 245.5% | volatile |
| 43 | Morocco | 35 1000 t | 2023 | up 105.9% | rising |
| 43 | Mauritania | 35 1000 t | 2023 | up 150.0% | volatile |
| 43 | Slovakia | 35 1000 t | 2023 | down 12.5% | flat |
| 46 | Czechia | 31 1000 t | 2023 | up 24.0% | falling |
| 47 | South Africa | 27 1000 t | 2023 | up 170.0% | rising |
| 48 | Panama | 24 1000 t | 2023 | up 500.0% | volatile |
| 49 | Greece | 22 1000 t | 2023 | up 144.4% | volatile |
| 50 | Ukraine | 21 1000 t | 2023 | down 38.2% | rising |
| 50 | Republic of Korea | 21 1000 t | 2023 | up 10.5% | volatile |
| 52 | Saudi Arabia | 19 1000 t | 2023 | up 280.0% | volatile |
| 53 | Turkey | 18 1000 t | 2023 | up 28.6% | rising |
| 53 | Türkiye | 18 1000 t | 2023 | up 28.6% | rising |
| 55 | Thailand | 17 1000 t | 2023 | down 62.2% | volatile |
| 55 | Iran (Islamic Republic of) | 17 1000 t | 2023 | down 51.4% | volatile |
| 57 | Latvia | 15 1000 t | 2023 | up 25.0% | rising |
| 58 | Luxembourg | 14 1000 t | 2023 | up 75.0% | rising |
| 58 | Slovenia | 14 1000 t | 2023 | up 600.0% | volatile |
| 60 | Egypt | 13 1000 t | 2023 | up 160.0% | volatile |
| 61 | Estonia | 12 1000 t | 2023 | up 20.0% | rising |
| 62 | Croatia | 11 1000 t | 2023 | up 37.5% | rising |
| 63 | Bolivia (Plurinational State of) | 9 1000 t | 2023 | up 12.5% | falling |
| 64 | Ecuador | 8 1000 t | 2023 | down 61.9% | falling |
| 64 | Kazakhstan | 8 1000 t | 2023 | up 700.0% | volatile |
| 64 | Serbia | 8 1000 t | 2023 | up 60.0% | rising |
| 67 | Belarus | 7 1000 t | 2023 | down 92.9% | falling |
| 67 | Switzerland | 7 1000 t | 2023 | up 16.7% | falling |
| 67 | Oman | 7 1000 t | 2023 | up 133.3% | volatile |
| 70 | Bulgaria | 6 1000 t | 2023 | up 500.0% | volatile |
| 70 | Georgia | 6 1000 t | 2023 | up 50.0% | volatile |
| 70 | Romania | 6 1000 t | 2023 | up 20.0% | flat |
| 73 | Mongolia | 5 1000 t | 2023 | — | volatile |
| 73 | Philippines | 5 1000 t | 2023 | up 400.0% | volatile |
| 75 | Azerbaijan | 4 1000 t | 2023 | down 75.0% | volatile |
| 75 | Uganda | 4 1000 t | 2023 | — | volatile |
| 75 | Yemen | 4 1000 t | 2023 | down 33.3% | volatile |
| 75 | China, Taiwan Province of | 4 1000 t | 2023 | down 33.3% | falling |
| 79 | Bosnia and Herzegovina | 3 1000 t | 2023 | — | volatile |
| 79 | Colombia | 3 1000 t | 2023 | — | volatile |
| 79 | Costa Rica | 3 1000 t | 2023 | unchanged | rising |
| 79 | El Salvador | 3 1000 t | 2023 | — | volatile |
| 79 | Tunisia | 3 1000 t | 2023 | unchanged | falling |
| 79 | China, Hong Kong SAR | 3 1000 t | 2023 | down 85.7% | volatile |
| 85 | Armenia | 2 1000 t | 2023 | — | volatile |
| 85 | Botswana | 2 1000 t | 2023 | — | volatile |
| 85 | Cyprus | 2 1000 t | 2023 | unchanged | flat |
| 85 | Ghana | 2 1000 t | 2023 | up 100.0% | volatile |
| 85 | Honduras | 2 1000 t | 2023 | down 33.3% | rising |
| 85 | Jordan | 2 1000 t | 2023 | — | volatile |
| 85 | Mauritius | 2 1000 t | 2023 | up 100.0% | rising |
| 85 | Nicaragua | 2 1000 t | 2023 | up 100.0% | volatile |
| 85 | Pakistan | 2 1000 t | 2023 | — | volatile |
| 85 | Senegal | 2 1000 t | 2023 | — | volatile |
| 95 | Albania | 1 1000 t | 2023 | — | volatile |
| 95 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 95 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 95 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | volatile |
| 95 | Lebanon | 1 1000 t | 2023 | unchanged | rising |
| 95 | Seychelles | 1 1000 t | 2023 | unchanged | rising |
| 95 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 95 | Caribbean | 1 1000 t | 2023 | — | rising |
| 103 | Angola | 0 1000 t | 2023 | — | volatile |
| 103 | Barbados | 0 1000 t | 2023 | — | volatile |
| 103 | Cote d'Ivoire | 0 1000 t | 2023 | — | volatile |
| 103 | Congo | 0 1000 t | 2022 | — | volatile |
| 103 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 103 | Gambia | 0 1000 t | 2023 | — | volatile |
| 103 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Moldova | 0 1000 t | 2023 | — | volatile |
| 103 | North Macedonia | 0 1000 t | 2023 | — | volatile |
| 103 | Myanmar | 0 1000 t | 2022 | — | volatile |
| 103 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 103 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Nepal | 0 1000 t | 2023 | — | volatile |
| 103 | Qatar | 0 1000 t | 2023 | — | volatile |
| 103 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 103 | Syria | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 103 | Zambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 103 | Syrian Arab Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 103 | Côte d'Ivoire | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 12,132 1000 t
- Europe 7,123 1000 t
- European Union (27) 6,575 1000 t
- Western Europe 4,346 1000 t
- Americas 2,220 1000 t
- Northern Europe 1,422 1000 t
- Oceania 1,397 1000 t
- Asia 1,262 1000 t
- South America 1,184 1000 t
- Northern America 870 1000 t
- South-Eastern Asia 832 1000 t
- Southern Europe 765 1000 t
- Eastern Europe 590 1000 t
- United States of America 462 1000 t
- Net Food Importing Developing Countries (NFIDCs) 342 1000 t
- Southern Asia 207 1000 t
- Central America 166 1000 t
- Africa 130 1000 t
- Land Locked Developing Countries (LLDCs) 111 1000 t
- Eastern Asia 108 1000 t
- Western Asia 106 1000 t
- Northern Africa 52 1000 t
- Low Income Food Deficit Countries (LIFDCs) 51 1000 t
- Least Developed Countries (LDCs) 48 1000 t
- Western Africa 41 1000 t
- Southern Africa 29 1000 t
- Central Asia 10 1000 t
- Eastern Africa 8 1000 t
- Small island developing States (SIDS) 5 1000 t
- Middle Africa 0 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.