Meat — 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
Meat — Export quantity is currently reported for 174 countries. The highest value is 9,824 1000 t in Brazil; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 3.5 1000 t, and the mean is 287.65 1000 t.
Over the past decade 59 countries rose and 46 fell. The largest increase was in Mongolia (up 3,350.0%), and the largest decrease in Barbados (down 100.0%).
Meat — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 9,824 1000 t | 2023 | up 46.5% | rising |
| 2 | Netherlands (Kingdom of the) | 3,354 1000 t | 2023 | up 22.8% | rising |
| 3 | Australia and New Zealand | 3,349 1000 t | 2023 | up 9.7% | rising |
| 4 | Spain | 3,112 1000 t | 2023 | up 89.4% | rising |
| 5 | Germany | 2,800 1000 t | 2023 | down 19.1% | falling |
| 6 | Poland | 2,720 1000 t | 2023 | up 64.7% | rising |
| 7 | Australia | 2,259 1000 t | 2023 | up 8.7% | rising |
| 8 | Canada | 2,114 1000 t | 2023 | up 18.8% | rising |
| 9 | Belgium | 1,464 1000 t | 2023 | down 7.5% | flat |
| 10 | Denmark | 1,338 1000 t | 2023 | down 20.2% | falling |
| 11 | Thailand | 1,274 1000 t | 2023 | up 81.2% | rising |
| 12 | France | 1,245 1000 t | 2023 | down 16.8% | falling |
| 13 | India | 1,157 1000 t | 2023 | down 27.2% | falling |
| 14 | China | 1,131 1000 t | 2023 | down 41.5% | falling |
| 15 | New Zealand | 1,089 1000 t | 2023 | up 11.8% | rising |
| 16 | China, mainland | 1,002 1000 t | 2023 | up 10.8% | flat |
| 17 | Argentina | 970 1000 t | 2023 | up 55.4% | rising |
| 18 | Ireland | 956 1000 t | 2023 | up 23.8% | rising |
| 19 | Italy | 747 1000 t | 2023 | up 16.4% | rising |
| 20 | United Kingdom of Great Britain and Northern Ireland | 636 1000 t | 2023 | down 26.8% | flat |
| 21 | Uruguay | 615 1000 t | 2023 | up 42.7% | rising |
| 22 | Türkiye | 601 1000 t | 2023 | up 54.5% | rising |
| 23 | Mexico | 595 1000 t | 2023 | up 105.2% | rising |
| 24 | Hungary | 508 1000 t | 2023 | up 23.3% | rising |
| 25 | Austria | 488 1000 t | 2023 | up 2.3% | flat |
| 26 | Ukraine | 467 1000 t | 2023 | up 160.9% | volatile |
| 27 | Paraguay | 453 1000 t | 2023 | up 86.4% | rising |
| 28 | Russian Federation | 446 1000 t | 2023 | up 328.8% | volatile |
| 29 | Chile | 247 1000 t | 2023 | down 16.0% | rising |
| 30 | Belarus | 241 1000 t | 2023 | down 46.2% | rising |
| 31 | United Arab Emirates | 222 1000 t | 2023 | up 258.1% | volatile |
| 32 | Romania | 183 1000 t | 2023 | up 30.7% | rising |
| 33 | Czechia | 181 1000 t | 2023 | up 9.7% | rising |
| 34 | Nicaragua | 132 1000 t | 2023 | up 30.7% | rising |
| 35 | China, Hong Kong SAR | 124 1000 t | 2023 | down 87.8% | volatile |
| 36 | Pakistan | 121 1000 t | 2023 | up 120.0% | rising |
| 36 | Slovenia | 121 1000 t | 2023 | up 152.1% | rising |
| 38 | Portugal | 119 1000 t | 2023 | unchanged | rising |
| 39 | Slovakia | 118 1000 t | 2023 | up 43.9% | rising |
| 40 | Lithuania | 114 1000 t | 2023 | up 10.7% | rising |
| 41 | Saudi Arabia | 112 1000 t | 2023 | up 83.6% | rising |
| 42 | Sweden | 105 1000 t | 2023 | up 69.4% | rising |
| 43 | Malaysia | 86 1000 t | 2023 | up 68.6% | rising |
| 44 | Greece | 76 1000 t | 2023 | up 130.3% | rising |
| 45 | Bulgaria | 72 1000 t | 2023 | up 46.9% | rising |
| 46 | Mongolia | 69 1000 t | 2023 | up 3,350.0% | volatile |
| 47 | Croatia | 67 1000 t | 2023 | up 139.3% | rising |
| 47 | Latvia | 67 1000 t | 2023 | up 55.8% | rising |
| 49 | Kazakhstan | 56 1000 t | 2023 | up 1,300.0% | volatile |
| 50 | Estonia | 54 1000 t | 2023 | up 14.9% | rising |
| 51 | Finland | 47 1000 t | 2023 | down 13.0% | falling |
| 52 | Costa Rica | 45 1000 t | 2023 | up 50.0% | rising |
| 53 | Bolivia (Plurinational State of) | 42 1000 t | 2023 | up 500.0% | volatile |
| 54 | Colombia | 40 1000 t | 2023 | down 11.1% | volatile |
| 55 | Namibia | 38 1000 t | 2023 | down 20.8% | rising |
| 56 | Oman | 36 1000 t | 2023 | up 260.0% | rising |
| 57 | Jordan | 30 1000 t | 2023 | down 50.8% | falling |
| 58 | Kenya | 29 1000 t | 2023 | up 262.5% | volatile |
| 59 | Guatemala | 28 1000 t | 2023 | up 21.7% | rising |
| 59 | Serbia | 28 1000 t | 2023 | up 64.7% | rising |
| 61 | Viet Nam | 26 1000 t | 2023 | up 160.0% | volatile |
| 62 | Georgia | 19 1000 t | 2023 | up 1,800.0% | volatile |
| 63 | Bosnia and Herzegovina | 18 1000 t | 2023 | up 80.0% | rising |
| 64 | Switzerland | 15 1000 t | 2023 | up 50.0% | rising |
| 65 | Kuwait | 12 1000 t | 2023 | up 100.0% | volatile |
| 65 | Republic of Korea | 12 1000 t | 2023 | down 78.6% | rising |
| 65 | United Republic of Tanzania | 12 1000 t | 2023 | — | volatile |
| 68 | Lebanon | 10 1000 t | 2023 | down 9.1% | falling |
| 68 | Luxembourg | 10 1000 t | 2023 | up 11.1% | flat |
| 68 | Morocco | 10 1000 t | 2023 | down 16.7% | flat |
| 68 | Caribbean | 10 1000 t | 2023 | down 33.3% | rising |
| 72 | Botswana | 8 1000 t | 2023 | down 79.5% | volatile |
| 72 | Ethiopia | 8 1000 t | 2023 | down 46.7% | falling |
| 72 | Honduras | 8 1000 t | 2023 | down 27.3% | falling |
| 75 | Indonesia | 7 1000 t | 2023 | down 30.0% | falling |
| 75 | North Macedonia | 7 1000 t | 2023 | down 36.4% | falling |
| 75 | Philippines | 7 1000 t | 2023 | down 41.7% | falling |
| 78 | Israel | 6 1000 t | 2023 | down 33.3% | falling |
| 78 | Montenegro | 6 1000 t | 2023 | up 200.0% | volatile |
| 78 | Zambia | 6 1000 t | 2023 | up 500.0% | volatile |
| 81 | Jamaica | 5 1000 t | 2023 | up 150.0% | rising |
| 81 | Panama | 5 1000 t | 2023 | down 54.5% | falling |
| 81 | China, Taiwan Province of | 5 1000 t | 2023 | down 58.3% | falling |
| 84 | Malawi | 4 1000 t | 2023 | up 300.0% | volatile |
| 84 | Norway | 4 1000 t | 2023 | down 42.9% | falling |
| 84 | Suriname | 4 1000 t | 2023 | — | volatile |
| 84 | Iran (Islamic Republic of) | 4 1000 t | 2023 | down 89.2% | volatile |
| 88 | Egypt | 3 1000 t | 2023 | up 200.0% | rising |
| 88 | Fiji | 3 1000 t | 2023 | up 50.0% | rising |
| 88 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | volatile |
| 88 | Melanesia | 3 1000 t | 2023 | unchanged | rising |
| 92 | Armenia | 2 1000 t | 2023 | up 100.0% | volatile |
| 92 | Cyprus | 2 1000 t | 2023 | down 33.3% | volatile |
| 92 | Dominican Republic | 2 1000 t | 2023 | down 77.8% | volatile |
| 92 | Iceland | 2 1000 t | 2023 | down 50.0% | falling |
| 92 | Sri Lanka | 2 1000 t | 2023 | unchanged | falling |
| 92 | El Salvador | 2 1000 t | 2023 | down 66.7% | falling |
| 92 | Trinidad and Tobago | 2 1000 t | 2023 | down 33.3% | falling |
| 92 | Tunisia | 2 1000 t | 2023 | unchanged | falling |
| 92 | Uzbekistan | 2 1000 t | 2023 | — | volatile |
| 92 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | — | volatile |
| 102 | Azerbaijan | 1 1000 t | 2023 | down 50.0% | volatile |
| 102 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 102 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 102 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 102 | Eswatini | 1 1000 t | 2023 | unchanged | volatile |
| 102 | Uganda | 1 1000 t | 2023 | down 83.3% | volatile |
| 102 | Republic of Moldova | 1 1000 t | 2023 | down 80.0% | volatile |
| 109 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 109 | Angola | 0 1000 t | 2023 | — | volatile |
| 109 | Albania | 0 1000 t | 2023 | — | volatile |
| 109 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 109 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 109 | Bahamas | 0 1000 t | 2023 | — | flat |
| 109 | Belize | 0 1000 t | 2023 | — | flat |
| 109 | Barbados | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 109 | Congo | 0 1000 t | 2023 | — | volatile |
| 109 | Comoros | 0 1000 t | 2021 | — | flat |
| 109 | Cuba | 0 1000 t | 2019 | — | flat |
| 109 | Djibouti | 0 1000 t | 2023 | — | flat |
| 109 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Ecuador | 0 1000 t | 2023 | — | flat |
| 109 | Gabon | 0 1000 t | 2023 | — | flat |
| 109 | Ghana | 0 1000 t | 2023 | — | volatile |
| 109 | Guinea | 0 1000 t | 2023 | — | flat |
| 109 | Gambia | 0 1000 t | 2023 | — | volatile |
| 109 | Grenada | 0 1000 t | 2023 | — | flat |
| 109 | Guyana | 0 1000 t | 2023 | — | flat |
| 109 | Haiti | 0 1000 t | 2023 | — | flat |
| 109 | Iraq | 0 1000 t | 2023 | — | volatile |
| 109 | Cambodia | 0 1000 t | 2023 | — | flat |
| 109 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 109 | Liberia | 0 1000 t | 2023 | — | volatile |
| 109 | Libya | 0 1000 t | 2023 | — | flat |
| 109 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 109 | Lesotho | 0 1000 t | 2023 | — | flat |
| 109 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 109 | Maldives | 0 1000 t | 2023 | — | flat |
| 109 | Malta | 0 1000 t | 2023 | — | flat |
| 109 | Mozambique | 0 1000 t | 2023 | — | flat |
| 109 | Mauritania | 0 1000 t | 2022 | — | volatile |
| 109 | Mauritius | 0 1000 t | 2023 | — | flat |
| 109 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 109 | Niger | 0 1000 t | 2023 | — | flat |
| 109 | Nigeria | 0 1000 t | 2023 | — | flat |
| 109 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 109 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 109 | Qatar | 0 1000 t | 2023 | — | flat |
| 109 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Solomon Islands | 0 1000 t | 2021 | — | flat |
| 109 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 109 | Sao Tome and Principe | 0 1000 t | 2021 | — | flat |
| 109 | Seychelles | 0 1000 t | 2020 | — | flat |
| 109 | Tajikistan | 0 1000 t | 2022 | — | volatile |
| 109 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 109 | Tonga | 0 1000 t | 2023 | — | flat |
| 109 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 109 | Vanuatu | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Samoa | 0 1000 t | 2022 | — | volatile |
| 109 | Yemen | 0 1000 t | 2023 | — | flat |
| 109 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Micronesia | 0 1000 t | 2023 | — | flat |
| 109 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 109 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 109 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 109 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 109 | Côte d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 109 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 109 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 109 | 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 54,152 1000 t
- Americas 23,562 1000 t
- Europe 21,936 1000 t
- European Union (27) 20,066 1000 t
- South America 12,196 1000 t
- Northern America 10,541 1000 t
- Western Europe 9,376 1000 t
- United States of America 8,427 1000 t
- Asia 5,036 1000 t
- Eastern Europe 4,938 1000 t
- Southern Europe 4,301 1000 t
- Oceania 3,352 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.