Meat, Other — Import 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 — Import quantity is currently reported for 180 countries. The highest value is 172 1000 t in Netherlands (Kingdom of the); the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 0 1000 t, and the mean is 5.12 1000 t.
Over the past decade 17 countries rose and 42 fell. The largest increase was in China, mainland (up 3,300.0%), and the largest decrease in Angola (down 100.0%).
Meat, Other — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Netherlands (Kingdom of the) | 172 1000 t | 2023 | down 15.3% | flat |
| 2 | Germany | 93 1000 t | 2023 | down 7.9% | falling |
| 3 | China | 77 1000 t | 2023 | up 305.3% | volatile |
| 4 | China, mainland | 68 1000 t | 2023 | up 3,300.0% | volatile |
| 5 | United Kingdom of Great Britain and Northern Ireland | 67 1000 t | 2023 | down 28.7% | falling |
| 6 | Italy | 55 1000 t | 2023 | up 19.6% | falling |
| 7 | Belgium | 49 1000 t | 2023 | down 15.5% | falling |
| 8 | Spain | 41 1000 t | 2023 | up 10.8% | falling |
| 9 | Caribbean | 32 1000 t | 2023 | down 48.4% | falling |
| 10 | Cuba | 31 1000 t | 2019 | down 50.8% | falling |
| 11 | France | 26 1000 t | 2023 | down 67.5% | falling |
| 12 | Greece | 18 1000 t | 2023 | down 48.6% | falling |
| 13 | Chile | 12 1000 t | 2023 | — | volatile |
| 14 | Czechia | 11 1000 t | 2023 | down 8.3% | falling |
| 14 | Portugal | 11 1000 t | 2023 | unchanged | rising |
| 16 | Ireland | 10 1000 t | 2023 | down 23.1% | falling |
| 16 | Saudi Arabia | 10 1000 t | 2023 | up 900.0% | volatile |
| 18 | Slovakia | 8 1000 t | 2023 | up 14.3% | falling |
| 18 | Thailand | 8 1000 t | 2023 | up 100.0% | volatile |
| 20 | Kuwait | 7 1000 t | 2023 | — | volatile |
| 20 | Romania | 7 1000 t | 2023 | up 40.0% | falling |
| 20 | Sweden | 7 1000 t | 2023 | up 40.0% | rising |
| 20 | China, Hong Kong SAR | 7 1000 t | 2023 | down 53.3% | falling |
| 20 | Republic of Korea | 7 1000 t | 2023 | up 16.7% | falling |
| 25 | Austria | 6 1000 t | 2023 | down 25.0% | falling |
| 25 | Denmark | 6 1000 t | 2023 | up 20.0% | rising |
| 25 | Liberia | 6 1000 t | 2023 | up 500.0% | volatile |
| 28 | Switzerland | 5 1000 t | 2023 | down 61.5% | falling |
| 28 | Ghana | 5 1000 t | 2023 | up 400.0% | volatile |
| 28 | Viet Nam | 5 1000 t | 2023 | up 400.0% | volatile |
| 31 | Croatia | 4 1000 t | 2023 | — | volatile |
| 31 | Hungary | 4 1000 t | 2023 | down 20.0% | falling |
| 31 | Kazakhstan | 4 1000 t | 2023 | down 33.3% | falling |
| 31 | Russian Federation | 4 1000 t | 2023 | down 81.0% | volatile |
| 35 | United Arab Emirates | 3 1000 t | 2023 | down 25.0% | volatile |
| 35 | Bangladesh | 3 1000 t | 2023 | — | volatile |
| 35 | Finland | 3 1000 t | 2023 | down 62.5% | falling |
| 38 | Bosnia and Herzegovina | 2 1000 t | 2023 | up 100.0% | volatile |
| 38 | Canada | 2 1000 t | 2023 | down 33.3% | falling |
| 38 | Oman | 2 1000 t | 2023 | up 100.0% | volatile |
| 38 | Panama | 2 1000 t | 2023 | down 33.3% | rising |
| 38 | Poland | 2 1000 t | 2023 | unchanged | rising |
| 38 | Slovenia | 2 1000 t | 2023 | up 100.0% | rising |
| 38 | Lao People's Democratic Republic | 2 1000 t | 2023 | — | volatile |
| 45 | Argentina | 1 1000 t | 2023 | unchanged | volatile |
| 45 | Australia | 1 1000 t | 2023 | unchanged | volatile |
| 45 | Bulgaria | 1 1000 t | 2023 | down 66.7% | falling |
| 45 | Bahrain | 1 1000 t | 2023 | — | rising |
| 45 | Estonia | 1 1000 t | 2023 | — | volatile |
| 45 | Iraq | 1 1000 t | 2023 | — | volatile |
| 45 | Cambodia | 1 1000 t | 2023 | — | volatile |
| 45 | Lithuania | 1 1000 t | 2023 | unchanged | falling |
| 45 | Luxembourg | 1 1000 t | 2023 | down 66.7% | falling |
| 45 | Latvia | 1 1000 t | 2023 | unchanged | rising |
| 45 | North Macedonia | 1 1000 t | 2023 | unchanged | volatile |
| 45 | Malta | 1 1000 t | 2023 | unchanged | volatile |
| 45 | Senegal | 1 1000 t | 2023 | — | volatile |
| 45 | Melanesia | 1 1000 t | 2023 | down 50.0% | falling |
| 45 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | flat |
| 45 | China, Macao SAR | 1 1000 t | 2023 | unchanged | volatile |
| 61 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 61 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Albania | 0 1000 t | 2023 | — | volatile |
| 61 | Armenia | 0 1000 t | 2023 | — | flat |
| 61 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 61 | Azerbaijan | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 61 | Bahamas | 0 1000 t | 2023 | — | flat |
| 61 | Belarus | 0 1000 t | 2023 | — | flat |
| 61 | Belize | 0 1000 t | 2023 | — | flat |
| 61 | Brazil | 0 1000 t | 2022 | — | flat |
| 61 | Barbados | 0 1000 t | 2023 | — | flat |
| 61 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Cameroon | 0 1000 t | 2023 | — | flat |
| 61 | Congo | 0 1000 t | 2023 | — | flat |
| 61 | Colombia | 0 1000 t | 2023 | — | flat |
| 61 | Comoros | 0 1000 t | 2023 | — | volatile |
| 61 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 61 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 61 | Djibouti | 0 1000 t | 2023 | — | flat |
| 61 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Algeria | 0 1000 t | 2023 | — | flat |
| 61 | Ecuador | 0 1000 t | 2023 | — | flat |
| 61 | Egypt | 0 1000 t | 2023 | — | volatile |
| 61 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 61 | Fiji | 0 1000 t | 2023 | — | flat |
| 61 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Georgia | 0 1000 t | 2023 | — | volatile |
| 61 | Guinea | 0 1000 t | 2023 | — | flat |
| 61 | Gambia | 0 1000 t | 2023 | — | flat |
| 61 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 61 | Grenada | 0 1000 t | 2023 | — | flat |
| 61 | Guatemala | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Guyana | 0 1000 t | 2023 | — | flat |
| 61 | Honduras | 0 1000 t | 2023 | — | volatile |
| 61 | Haiti | 0 1000 t | 2023 | — | flat |
| 61 | Indonesia | 0 1000 t | 2023 | — | flat |
| 61 | India | 0 1000 t | 2022 | — | flat |
| 61 | Iceland | 0 1000 t | 2023 | — | flat |
| 61 | Israel | 0 1000 t | 2023 | — | flat |
| 61 | Jamaica | 0 1000 t | 2023 | — | flat |
| 61 | Jordan | 0 1000 t | 2023 | — | volatile |
| 61 | Kenya | 0 1000 t | 2023 | — | flat |
| 61 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 61 | Kiribati | 0 1000 t | 2023 | — | flat |
| 61 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 61 | Lebanon | 0 1000 t | 2023 | — | flat |
| 61 | Libya | 0 1000 t | 2023 | — | flat |
| 61 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 61 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 61 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 61 | Morocco | 0 1000 t | 2023 | — | volatile |
| 61 | Madagascar | 0 1000 t | 2023 | — | flat |
| 61 | Maldives | 0 1000 t | 2023 | — | flat |
| 61 | Mexico | 0 1000 t | 2023 | down 100.0% | falling |
| 61 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 61 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Montenegro | 0 1000 t | 2023 | — | flat |
| 61 | Mongolia | 0 1000 t | 2023 | — | flat |
| 61 | Mozambique | 0 1000 t | 2023 | — | flat |
| 61 | Mauritania | 0 1000 t | 2022 | — | flat |
| 61 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 61 | Malawi | 0 1000 t | 2023 | — | flat |
| 61 | Malaysia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 61 | Niger | 0 1000 t | 2023 | — | flat |
| 61 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 61 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 61 | Norway | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Nepal | 0 1000 t | 2023 | — | flat |
| 61 | Nauru | 0 1000 t | 2023 | — | flat |
| 61 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Pakistan | 0 1000 t | 2021 | — | flat |
| 61 | Peru | 0 1000 t | 2023 | — | flat |
| 61 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Paraguay | 0 1000 t | 2023 | — | flat |
| 61 | French Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Qatar | 0 1000 t | 2023 | — | volatile |
| 61 | Rwanda | 0 1000 t | 2023 | — | flat |
| 61 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 61 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 61 | El Salvador | 0 1000 t | 2023 | — | flat |
| 61 | Serbia | 0 1000 t | 2023 | — | volatile |
| 61 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 61 | Suriname | 0 1000 t | 2023 | — | flat |
| 61 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 61 | Seychelles | 0 1000 t | 2023 | — | flat |
| 61 | Tajikistan | 0 1000 t | 2020 | — | flat |
| 61 | Turkmenistan | 0 1000 t | 2020 | — | flat |
| 61 | Tonga | 0 1000 t | 2023 | — | flat |
| 61 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 61 | Tunisia | 0 1000 t | 2023 | — | flat |
| 61 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 61 | Uganda | 0 1000 t | 2023 | — | flat |
| 61 | Ukraine | 0 1000 t | 2023 | — | flat |
| 61 | Uruguay | 0 1000 t | 2023 | — | flat |
| 61 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 61 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 61 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 61 | Samoa | 0 1000 t | 2023 | — | flat |
| 61 | Yemen | 0 1000 t | 2023 | — | volatile |
| 61 | Zambia | 0 1000 t | 2023 | — | flat |
| 61 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Micronesia | 0 1000 t | 2023 | — | flat |
| 61 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 61 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 61 | Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 61 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 61 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 61 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 61 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 61 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 61 | Türkiye | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 61 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 61 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | volatile |
| 61 | Micronesia (Federated States of) | 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 844 1000 t
- Europe 620 1000 t
- European Union (27) 540 1000 t
- Western Europe 353 1000 t
- Asia 144 1000 t
- Southern Europe 134 1000 t
- Northern Europe 96 1000 t
- Eastern Asia 94 1000 t
- Americas 61 1000 t
- Net Food Importing Developing Countries (NFIDCs) 50 1000 t
- Eastern Europe 37 1000 t
- Small Island Developing States (SIDS) 34 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.