Mutton & Goat Meat — 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
Mutton & Goat Meat — Import quantity is currently reported for 97 countries. The highest value is 462 1000 t in China; the lowest is 0 1000 t in Côte d'Ivoire.
The median across all reporting countries is 2 1000 t, and the mean is 19.43 1000 t.
Over the past decade 30 countries rose and 31 fell. The largest increase was in Republic of Korea (up 520.0%), and the largest decrease in Cote d'Ivoire (down 100.0%).
Mutton & Goat Meat — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 462 1000 t | 2023 | up 56.1% | rising |
| 2 | China, mainland | 434 1000 t | 2023 | up 67.6% | rising |
| 3 | United States | 124 1000 t | 2023 | up 45.9% | rising |
| 4 | France | 120 1000 t | 2023 | up 16.5% | flat |
| 5 | United Arab Emirates | 61 1000 t | 2023 | up 27.1% | rising |
| 6 | United Kingdom | 50 1000 t | 2023 | down 49.5% | falling |
| 6 | United Kingdom of Great Britain and Northern Ireland | 50 1000 t | 2023 | down 49.5% | falling |
| 8 | Germany | 39 1000 t | 2023 | up 14.7% | rising |
| 9 | Malaysia | 37 1000 t | 2023 | up 42.3% | rising |
| 10 | Melanesia | 34 1000 t | 2023 | up 36.0% | rising |
| 11 | Republic of Korea | 31 1000 t | 2023 | up 520.0% | volatile |
| 12 | Netherlands (Kingdom of the) | 30 1000 t | 2023 | up 11.1% | rising |
| 13 | Italy | 29 1000 t | 2023 | up 16.0% | flat |
| 14 | Saudi Arabia | 27 1000 t | 2023 | down 47.1% | falling |
| 15 | Canada | 26 1000 t | 2023 | up 36.8% | rising |
| 16 | Papua New Guinea | 25 1000 t | 2023 | up 25.0% | rising |
| 17 | China, Taiwan Province of | 23 1000 t | 2023 | up 21.1% | falling |
| 18 | Qatar | 21 1000 t | 2023 | — | falling |
| 19 | Belgium | 20 1000 t | 2023 | down 16.7% | falling |
| 19 | Kuwait | 20 1000 t | 2023 | up 66.7% | rising |
| 21 | Liberia | 17 1000 t | 2023 | — | volatile |
| 22 | Jordan | 14 1000 t | 2023 | down 41.7% | falling |
| 23 | Oman | 13 1000 t | 2023 | up 18.2% | rising |
| 24 | Sweden | 11 1000 t | 2023 | up 22.2% | rising |
| 25 | Caribbean | 10 1000 t | 2023 | unchanged | falling |
| 25 | Iran (Islamic Republic of) | 10 1000 t | 2023 | up 150.0% | volatile |
| 27 | Bahrain | 9 1000 t | 2023 | — | flat |
| 27 | Fiji | 9 1000 t | 2023 | up 80.0% | rising |
| 27 | Portugal | 9 1000 t | 2023 | up 28.6% | rising |
| 30 | Greece | 7 1000 t | 2023 | unchanged | falling |
| 30 | Uzbekistan | 7 1000 t | 2023 | — | volatile |
| 32 | Spain | 6 1000 t | 2023 | down 33.3% | falling |
| 32 | Iraq | 6 1000 t | 2023 | up 500.0% | volatile |
| 34 | Switzerland | 5 1000 t | 2023 | down 16.7% | falling |
| 34 | Ireland | 5 1000 t | 2023 | up 25.0% | rising |
| 34 | China, Hong Kong SAR | 5 1000 t | 2023 | down 72.2% | volatile |
| 34 | Australia and New Zealand | 5 1000 t | 2023 | up 25.0% | rising |
| 38 | Brazil | 4 1000 t | 2023 | down 55.6% | falling |
| 38 | Indonesia | 4 1000 t | 2023 | up 300.0% | volatile |
| 38 | Mauritius | 4 1000 t | 2023 | down 20.0% | falling |
| 38 | Polynesia | 4 1000 t | 2023 | up 100.0% | rising |
| 42 | Denmark | 3 1000 t | 2023 | down 25.0% | falling |
| 42 | Jamaica | 3 1000 t | 2023 | up 50.0% | falling |
| 42 | New Zealand | 3 1000 t | 2023 | unchanged | rising |
| 42 | Trinidad and Tobago | 3 1000 t | 2023 | unchanged | falling |
| 42 | South Africa | 3 1000 t | 2023 | down 76.9% | volatile |
| 47 | Austria | 2 1000 t | 2023 | unchanged | falling |
| 47 | Bulgaria | 2 1000 t | 2023 | — | volatile |
| 47 | Ghana | 2 1000 t | 2023 | down 50.0% | falling |
| 47 | Croatia | 2 1000 t | 2023 | unchanged | rising |
| 47 | Israel | 2 1000 t | 2023 | up 100.0% | flat |
| 47 | Libya | 2 1000 t | 2023 | up 100.0% | volatile |
| 47 | Mexico | 2 1000 t | 2023 | down 83.3% | volatile |
| 47 | Romania | 2 1000 t | 2023 | up 100.0% | volatile |
| 47 | Tonga | 2 1000 t | 2023 | — | rising |
| 47 | Samoa | 2 1000 t | 2023 | up 100.0% | flat |
| 57 | Albania | 1 1000 t | 2023 | — | volatile |
| 57 | Australia | 1 1000 t | 2023 | unchanged | rising |
| 57 | Bahamas | 1 1000 t | 2023 | down 50.0% | falling |
| 57 | Barbados | 1 1000 t | 2023 | unchanged | falling |
| 57 | Cyprus | 1 1000 t | 2023 | unchanged | falling |
| 57 | Czechia | 1 1000 t | 2023 | — | volatile |
| 57 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 57 | Egypt | 1 1000 t | 2023 | down 50.0% | volatile |
| 57 | Finland | 1 1000 t | 2023 | down 50.0% | falling |
| 57 | Lesotho | 1 1000 t | 2023 | — | volatile |
| 57 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 57 | Maldives | 1 1000 t | 2023 | — | volatile |
| 57 | Norway | 1 1000 t | 2023 | down 66.7% | volatile |
| 57 | Philippines | 1 1000 t | 2023 | unchanged | falling |
| 57 | Poland | 1 1000 t | 2023 | unchanged | rising |
| 57 | Russia | 1 1000 t | 2023 | down 90.0% | volatile |
| 57 | Thailand | 1 1000 t | 2023 | unchanged | rising |
| 57 | Turkey | 1 1000 t | 2023 | — | volatile |
| 57 | Vietnam | 1 1000 t | 2023 | down 80.0% | volatile |
| 57 | Russian Federation | 1 1000 t | 2023 | down 90.0% | volatile |
| 57 | Viet Nam | 1 1000 t | 2023 | down 80.0% | volatile |
| 57 | Türkiye | 1 1000 t | 2023 | — | volatile |
| 57 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 80 | Angola | 0 1000 t | 2023 | — | volatile |
| 80 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 80 | Cote d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Colombia | 0 1000 t | 2023 | — | volatile |
| 80 | Algeria | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 80 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 80 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 80 | Malta | 0 1000 t | 2023 | — | volatile |
| 80 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 80 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 80 | French Polynesia | 0 1000 t | 2023 | down 100.0% | falling |
| 80 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 80 | Côte d'Ivoire | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,344 1000 t
- Asia 750 1000 t
- Eastern Asia 512 1000 t
- Europe 351 1000 t
- European Union (27) 294 1000 t
- Western Europe 217 1000 t
- Western Asia 174 1000 t
- Americas 167 1000 t
- Northern America 150 1000 t
- United States of America 124 1000 t
- Northern Europe 73 1000 t
- Net Food Importing Developing Countries (NFIDCs) 55 1000 t
- Small island developing States (SIDS) 54 1000 t
- Southern Europe 54 1000 t
- South-Eastern Asia 44 1000 t
- Oceania 43 1000 t
- Africa 33 1000 t
- Low Income Food Deficit Countries (LIFDCs) 27 1000 t
- Least Developed Countries (LDCs) 20 1000 t
- Western Africa 20 1000 t
- Southern Asia 12 1000 t
- Land Locked Developing Countries (LLDCs) 8 1000 t
- Central Asia 7 1000 t
- Eastern Europe 7 1000 t
- South America 5 1000 t
- Eastern Africa 5 1000 t
- Northern Africa 4 1000 t
- Southern Africa 4 1000 t
- Central America 2 1000 t
- Middle Africa 1 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.