Meat, Other — 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, Other — Export quantity is currently reported for 156 countries. The highest value is 165 1000 t in Brazil; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 5.22 1000 t.
Over the past decade 14 countries rose and 36 fell. The largest increase was in Mongolia (up 2,850.0%), and the largest decrease in Bosnia and Herzegovina (down 100.0%).
Meat, Other — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 165 1000 t | 2023 | down 8.3% | falling |
| 2 | Netherlands (Kingdom of the) | 135 1000 t | 2023 | up 22.7% | rising |
| 3 | Thailand | 73 1000 t | 2023 | up 65.9% | volatile |
| 4 | Mongolia | 59 1000 t | 2023 | up 2,850.0% | volatile |
| 5 | China | 36 1000 t | 2023 | up 44.0% | falling |
| 6 | China, mainland | 35 1000 t | 2023 | up 52.2% | falling |
| 7 | France | 26 1000 t | 2023 | down 35.0% | falling |
| 8 | Belgium | 24 1000 t | 2023 | down 33.3% | falling |
| 9 | Spain | 23 1000 t | 2023 | down 30.3% | falling |
| 10 | United Arab Emirates | 22 1000 t | 2023 | up 1,000.0% | volatile |
| 11 | Poland | 20 1000 t | 2023 | down 61.5% | falling |
| 11 | Saudi Arabia | 20 1000 t | 2023 | up 300.0% | volatile |
| 13 | Australia and New Zealand | 19 1000 t | 2023 | down 36.7% | falling |
| 14 | New Zealand | 15 1000 t | 2023 | down 28.6% | falling |
| 15 | Germany | 14 1000 t | 2023 | down 26.3% | falling |
| 16 | Italy | 13 1000 t | 2023 | up 8.3% | falling |
| 17 | Argentina | 11 1000 t | 2023 | down 45.0% | falling |
| 18 | Hungary | 9 1000 t | 2023 | down 10.0% | falling |
| 18 | Romania | 9 1000 t | 2023 | up 50.0% | rising |
| 20 | Morocco | 8 1000 t | 2023 | down 11.1% | flat |
| 20 | Pakistan | 8 1000 t | 2023 | up 700.0% | volatile |
| 20 | Uruguay | 8 1000 t | 2023 | up 60.0% | rising |
| 23 | Sweden | 7 1000 t | 2023 | unchanged | falling |
| 24 | Czechia | 5 1000 t | 2023 | down 50.0% | volatile |
| 24 | Ireland | 5 1000 t | 2023 | down 70.6% | volatile |
| 26 | Australia | 4 1000 t | 2023 | down 55.6% | falling |
| 26 | Portugal | 4 1000 t | 2023 | up 300.0% | rising |
| 26 | United Kingdom of Great Britain and Northern Ireland | 4 1000 t | 2023 | down 60.0% | falling |
| 29 | Bulgaria | 3 1000 t | 2023 | unchanged | rising |
| 29 | Canada | 3 1000 t | 2023 | down 84.2% | volatile |
| 29 | Indonesia | 3 1000 t | 2023 | down 57.1% | falling |
| 29 | Viet Nam | 3 1000 t | 2023 | — | volatile |
| 33 | Austria | 2 1000 t | 2023 | down 33.3% | volatile |
| 33 | Denmark | 2 1000 t | 2023 | down 66.7% | volatile |
| 33 | Lithuania | 2 1000 t | 2023 | unchanged | rising |
| 33 | Slovenia | 2 1000 t | 2023 | up 100.0% | rising |
| 33 | Russian Federation | 2 1000 t | 2023 | up 100.0% | volatile |
| 38 | Estonia | 1 1000 t | 2023 | — | volatile |
| 38 | Greece | 1 1000 t | 2023 | unchanged | falling |
| 38 | India | 1 1000 t | 2023 | unchanged | falling |
| 38 | Jordan | 1 1000 t | 2023 | unchanged | volatile |
| 38 | Latvia | 1 1000 t | 2023 | unchanged | flat |
| 38 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 38 | Myanmar | 1 1000 t | 2023 | — | volatile |
| 38 | Malaysia | 1 1000 t | 2023 | unchanged | volatile |
| 38 | Serbia | 1 1000 t | 2023 | — | volatile |
| 38 | Slovakia | 1 1000 t | 2023 | down 66.7% | volatile |
| 38 | Ukraine | 1 1000 t | 2023 | — | volatile |
| 38 | Türkiye | 1 1000 t | 2023 | down 50.0% | falling |
| 50 | Angola | 0 1000 t | 2023 | — | flat |
| 50 | Albania | 0 1000 t | 2023 | — | volatile |
| 50 | Armenia | 0 1000 t | 2023 | — | flat |
| 50 | Antigua and Barbuda | 0 1000 t | 2022 | — | flat |
| 50 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 50 | Burkina Faso | 0 1000 t | 2021 | — | flat |
| 50 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 50 | Bahrain | 0 1000 t | 2023 | — | flat |
| 50 | Bahamas | 0 1000 t | 2018 | — | flat |
| 50 | Bosnia and Herzegovina | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Belarus | 0 1000 t | 2023 | — | flat |
| 50 | Belize | 0 1000 t | 2023 | — | flat |
| 50 | Barbados | 0 1000 t | 2019 | — | flat |
| 50 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Switzerland | 0 1000 t | 2023 | — | flat |
| 50 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Cameroon | 0 1000 t | 2023 | — | flat |
| 50 | Congo | 0 1000 t | 2023 | — | flat |
| 50 | Colombia | 0 1000 t | 2023 | — | volatile |
| 50 | Costa Rica | 0 1000 t | 2021 | — | flat |
| 50 | Cuba | 0 1000 t | 2014 | — | flat |
| 50 | Cyprus | 0 1000 t | 2023 | — | flat |
| 50 | Djibouti | 0 1000 t | 2014 | — | flat |
| 50 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 50 | Algeria | 0 1000 t | 2023 | — | volatile |
| 50 | Ecuador | 0 1000 t | 2023 | — | flat |
| 50 | Egypt | 0 1000 t | 2023 | — | flat |
| 50 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 50 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Fiji | 0 1000 t | 2023 | — | flat |
| 50 | Gabon | 0 1000 t | 2023 | — | flat |
| 50 | Georgia | 0 1000 t | 2023 | — | flat |
| 50 | Ghana | 0 1000 t | 2023 | — | flat |
| 50 | Guinea | 0 1000 t | 2023 | — | flat |
| 50 | Gambia | 0 1000 t | 2023 | — | flat |
| 50 | Guatemala | 0 1000 t | 2020 | — | flat |
| 50 | Guyana | 0 1000 t | 2023 | — | flat |
| 50 | Honduras | 0 1000 t | 2022 | — | flat |
| 50 | Croatia | 0 1000 t | 2023 | — | flat |
| 50 | Haiti | 0 1000 t | 2023 | — | flat |
| 50 | Iraq | 0 1000 t | 2021 | — | flat |
| 50 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Israel | 0 1000 t | 2022 | — | volatile |
| 50 | Jamaica | 0 1000 t | 2022 | — | flat |
| 50 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 50 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 50 | Cambodia | 0 1000 t | 2023 | — | flat |
| 50 | Saint Kitts and Nevis | 0 1000 t | 2020 | — | flat |
| 50 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Lebanon | 0 1000 t | 2023 | — | flat |
| 50 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 50 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Malta | 0 1000 t | 2023 | — | flat |
| 50 | Montenegro | 0 1000 t | 2023 | — | flat |
| 50 | Mozambique | 0 1000 t | 2023 | — | flat |
| 50 | Mauritania | 0 1000 t | 2022 | — | volatile |
| 50 | Mauritius | 0 1000 t | 2021 | — | flat |
| 50 | Malawi | 0 1000 t | 2023 | — | flat |
| 50 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 50 | Niger | 0 1000 t | 2020 | — | flat |
| 50 | Nigeria | 0 1000 t | 2023 | — | flat |
| 50 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 50 | Norway | 0 1000 t | 2023 | — | flat |
| 50 | Nepal | 0 1000 t | 2023 | — | flat |
| 50 | Oman | 0 1000 t | 2023 | — | volatile |
| 50 | Panama | 0 1000 t | 2019 | — | flat |
| 50 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Philippines | 0 1000 t | 2023 | — | volatile |
| 50 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 50 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 50 | French Polynesia | 0 1000 t | 2020 | — | flat |
| 50 | Rwanda | 0 1000 t | 2022 | — | flat |
| 50 | Senegal | 0 1000 t | 2023 | — | volatile |
| 50 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 50 | El Salvador | 0 1000 t | 2018 | — | flat |
| 50 | Suriname | 0 1000 t | 2021 | — | flat |
| 50 | Eswatini | 0 1000 t | 2023 | — | flat |
| 50 | Tonga | 0 1000 t | 2023 | — | flat |
| 50 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 50 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 50 | Uganda | 0 1000 t | 2021 | — | flat |
| 50 | Uzbekistan | 0 1000 t | 2020 | — | flat |
| 50 | Saint Vincent and the Grenadines | 0 1000 t | 2021 | — | flat |
| 50 | Samoa | 0 1000 t | 2021 | — | flat |
| 50 | Yemen | 0 1000 t | 2014 | — | flat |
| 50 | Zambia | 0 1000 t | 2023 | — | flat |
| 50 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 50 | Melanesia | 0 1000 t | 2023 | — | flat |
| 50 | Polynesia | 0 1000 t | 2023 | — | flat |
| 50 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 50 | Caribbean | 0 1000 t | 2023 | — | flat |
| 50 | Bolivia (Plurinational State of) | 0 1000 t | 2019 | — | flat |
| 50 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 50 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 50 | Syrian Arab Republic | 0 1000 t | 2022 | — | flat |
| 50 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 50 | Côte d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 50 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 50 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 50 | Democratic People's Republic of Korea | 0 1000 t | 2017 | — | flat |
| 50 | China, Macao SAR | 0 1000 t | 2018 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 781 1000 t
- Europe 321 1000 t
- European Union (27) 311 1000 t
- Asia 228 1000 t
- Western Europe 201 1000 t
- Americas 200 1000 t
- South America 185 1000 t
- Eastern Asia 95 1000 t
- South-eastern Asia 80 1000 t
- Net Food Importing Developing Countries (NFIDCs) 79 1000 t
- Land Locked Developing Countries (LLDCs) 61 1000 t
- Eastern Europe 52 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.