Mutton & Goat Meat — Production 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 — Production is currently reported for 173 countries. The highest value is 5,314 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 9 1000 t, and the mean is 141.3 1000 t.
Over the past decade 62 countries rose and 46 fell. The largest increase was in India (up 265.5%), and the largest decrease in Estonia (down 100.0%).
Mutton & Goat Meat — Production: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 5,314 1000 t | 2023 | up 29.6% | rising |
| 2 | China, mainland | 5,313 1000 t | 2023 | up 29.6% | rising |
| 3 | India | 2,730 1000 t | 2023 | up 265.5% | volatile |
| 4 | Australia and New Zealand | 1,330 1000 t | 2023 | up 13.3% | rising |
| 5 | Australia | 887 1000 t | 2023 | up 28.2% | rising |
| 6 | Pakistan | 799 1000 t | 2023 | up 71.1% | rising |
| 7 | Türkiye | 698 1000 t | 2023 | up 99.4% | rising |
| 8 | New Zealand | 443 1000 t | 2023 | down 8.1% | falling |
| 9 | Nigeria | 427 1000 t | 2023 | up 13.9% | rising |
| 10 | Algeria | 399 1000 t | 2023 | up 33.9% | rising |
| 11 | United Kingdom of Great Britain and Northern Ireland | 286 1000 t | 2023 | down 1.0% | flat |
| 12 | Mongolia | 281 1000 t | 2023 | up 79.0% | rising |
| 13 | Ethiopia | 272 1000 t | 2023 | up 68.9% | rising |
| 13 | Iran (Islamic Republic of) | 272 1000 t | 2023 | down 23.2% | falling |
| 15 | Bangladesh | 248 1000 t | 2023 | up 18.7% | rising |
| 16 | Uzbekistan | 244 1000 t | 2023 | up 47.0% | rising |
| 17 | Syrian Arab Republic | 210 1000 t | 2023 | up 18.0% | flat |
| 18 | Russian Federation | 207 1000 t | 2023 | up 8.9% | rising |
| 19 | Saudi Arabia | 193 1000 t | 2023 | up 39.9% | rising |
| 20 | Morocco | 191 1000 t | 2023 | up 32.6% | rising |
| 21 | Kazakhstan | 154 1000 t | 2023 | down 1.3% | rising |
| 22 | Brazil | 149 1000 t | 2023 | up 28.4% | rising |
| 23 | Afghanistan | 148 1000 t | 2023 | down 1.3% | falling |
| 24 | Turkmenistan | 141 1000 t | 2023 | down 0.7% | rising |
| 25 | Yemen | 138 1000 t | 2023 | up 17.9% | rising |
| 26 | Kenya | 129 1000 t | 2023 | up 29.0% | rising |
| 27 | Spain | 114 1000 t | 2023 | down 10.2% | falling |
| 27 | Indonesia | 114 1000 t | 2023 | up 6.5% | rising |
| 27 | United Republic of Tanzania | 114 1000 t | 2023 | up 81.0% | rising |
| 30 | Mexico | 109 1000 t | 2023 | up 11.2% | rising |
| 31 | Azerbaijan | 89 1000 t | 2023 | up 25.4% | rising |
| 32 | Kyrgyzstan | 85 1000 t | 2023 | up 63.5% | rising |
| 33 | France | 79 1000 t | 2023 | down 35.8% | falling |
| 33 | Nepal | 79 1000 t | 2023 | up 36.2% | rising |
| 35 | Greece | 73 1000 t | 2023 | down 47.9% | falling |
| 36 | Ireland | 70 1000 t | 2023 | up 22.8% | rising |
| 37 | Tunisia | 68 1000 t | 2023 | up 17.2% | rising |
| 38 | Tajikistan | 66 1000 t | 2023 | up 53.5% | rising |
| 39 | United Arab Emirates | 64 1000 t | 2023 | up 42.2% | rising |
| 40 | Egypt | 63 1000 t | 2023 | down 50.8% | falling |
| 40 | Mauritania | 63 1000 t | 2023 | up 26.0% | rising |
| 42 | Ghana | 62 1000 t | 2023 | up 51.2% | rising |
| 42 | Senegal | 62 1000 t | 2023 | up 37.8% | rising |
| 44 | Malawi | 61 1000 t | 2023 | up 79.4% | rising |
| 45 | Romania | 59 1000 t | 2023 | down 23.4% | falling |
| 46 | Iraq | 56 1000 t | 2023 | up 14.3% | flat |
| 47 | Kuwait | 54 1000 t | 2023 | up 42.1% | rising |
| 48 | Burkina Faso | 51 1000 t | 2023 | down 8.9% | rising |
| 48 | Oman | 51 1000 t | 2023 | up 8.5% | rising |
| 50 | Argentina | 50 1000 t | 2023 | down 25.4% | falling |
| 51 | Niger | 45 1000 t | 2023 | up 9.8% | rising |
| 52 | Cameroon | 44 1000 t | 2023 | up 18.9% | rising |
| 53 | Israel | 42 1000 t | 2023 | up 200.0% | volatile |
| 54 | Libya | 41 1000 t | 2023 | down 8.9% | falling |
| 54 | Bolivia (Plurinational State of) | 41 1000 t | 2023 | up 127.8% | rising |
| 56 | Jordan | 40 1000 t | 2023 | up 110.5% | rising |
| 57 | Peru | 39 1000 t | 2023 | down 4.9% | falling |
| 58 | Zimbabwe | 38 1000 t | 2023 | up 46.2% | rising |
| 59 | Uganda | 37 1000 t | 2023 | down 21.3% | falling |
| 60 | Serbia | 33 1000 t | 2023 | down 2.9% | rising |
| 61 | Germany | 31 1000 t | 2023 | down 8.8% | falling |
| 62 | Guinea | 30 1000 t | 2023 | up 57.9% | rising |
| 62 | Philippines | 30 1000 t | 2023 | down 45.5% | falling |
| 64 | Italy | 29 1000 t | 2023 | down 17.1% | falling |
| 64 | Caribbean | 29 1000 t | 2023 | up 20.8% | rising |
| 66 | Bahrain | 27 1000 t | 2023 | — | rising |
| 67 | Angola | 24 1000 t | 2023 | up 4.3% | rising |
| 67 | Viet Nam | 24 1000 t | 2023 | up 200.0% | rising |
| 69 | Albania | 23 1000 t | 2023 | unchanged | rising |
| 69 | Norway | 23 1000 t | 2023 | down 4.2% | flat |
| 71 | Uruguay | 22 1000 t | 2023 | down 18.5% | falling |
| 71 | Côte d'Ivoire | 22 1000 t | 2023 | up 69.2% | rising |
| 73 | Democratic Republic of the Congo | 21 1000 t | 2023 | unchanged | flat |
| 73 | Netherlands (Kingdom of the) | 21 1000 t | 2023 | up 50.0% | rising |
| 75 | Canada | 18 1000 t | 2023 | up 5.9% | flat |
| 75 | Zambia | 18 1000 t | 2023 | up 80.0% | rising |
| 77 | Democratic People's Republic of Korea | 15 1000 t | 2018 | down 6.2% | falling |
| 78 | Chile | 14 1000 t | 2023 | down 6.7% | falling |
| 78 | Rwanda | 14 1000 t | 2023 | down 39.1% | falling |
| 80 | Namibia | 13 1000 t | 2023 | down 23.5% | falling |
| 80 | Portugal | 13 1000 t | 2023 | down 31.6% | falling |
| 82 | Cuba | 12 1000 t | 2019 | down 7.7% | falling |
| 82 | Myanmar | 12 1000 t | 2023 | down 81.8% | volatile |
| 82 | Ukraine | 12 1000 t | 2023 | down 36.8% | falling |
| 85 | Armenia | 11 1000 t | 2023 | up 22.2% | rising |
| 86 | Venezuela (Bolivarian Republic of) | 10 1000 t | 2023 | unchanged | flat |
| 87 | Bulgaria | 9 1000 t | 2023 | down 30.8% | falling |
| 88 | Austria | 8 1000 t | 2023 | unchanged | flat |
| 88 | Iceland | 8 1000 t | 2023 | down 20.0% | falling |
| 88 | Lebanon | 8 1000 t | 2023 | down 27.3% | falling |
| 91 | Ecuador | 7 1000 t | 2023 | unchanged | falling |
| 91 | Croatia | 7 1000 t | 2023 | up 16.7% | rising |
| 91 | Haiti | 7 1000 t | 2023 | up 16.7% | rising |
| 91 | Qatar | 7 1000 t | 2023 | — | falling |
| 95 | Switzerland | 6 1000 t | 2023 | up 20.0% | rising |
| 95 | Madagascar | 6 1000 t | 2023 | down 53.8% | falling |
| 97 | Botswana | 5 1000 t | 2023 | down 28.6% | falling |
| 97 | Cyprus | 5 1000 t | 2023 | unchanged | flat |
| 97 | Djibouti | 5 1000 t | 2023 | unchanged | flat |
| 97 | Georgia | 5 1000 t | 2023 | up 66.7% | rising |
| 97 | Sweden | 5 1000 t | 2023 | unchanged | flat |
| 102 | North Macedonia | 4 1000 t | 2023 | down 20.0% | falling |
| 102 | Mozambique | 4 1000 t | 2023 | up 33.3% | rising |
| 102 | Malaysia | 4 1000 t | 2023 | down 20.0% | rising |
| 102 | Sierra Leone | 4 1000 t | 2023 | unchanged | flat |
| 106 | Czechia | 3 1000 t | 2023 | unchanged | rising |
| 106 | Sri Lanka | 3 1000 t | 2023 | up 200.0% | rising |
| 106 | Paraguay | 3 1000 t | 2023 | down 25.0% | falling |
| 106 | Eswatini | 3 1000 t | 2023 | up 50.0% | rising |
| 106 | Lao People's Democratic Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 111 | Belgium | 2 1000 t | 2023 | unchanged | rising |
| 111 | Congo | 2 1000 t | 2023 | unchanged | rising |
| 111 | Dominican Republic | 2 1000 t | 2023 | unchanged | flat |
| 111 | Gambia | 2 1000 t | 2023 | up 100.0% | rising |
| 111 | Guinea-Bissau | 2 1000 t | 2023 | unchanged | rising |
| 111 | Guatemala | 2 1000 t | 2023 | unchanged | flat |
| 111 | Liberia | 2 1000 t | 2023 | unchanged | flat |
| 111 | Slovenia | 2 1000 t | 2023 | unchanged | flat |
| 111 | Thailand | 2 1000 t | 2023 | unchanged | flat |
| 111 | Republic of Korea | 2 1000 t | 2023 | up 100.0% | rising |
| 121 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | falling |
| 121 | Belarus | 1 1000 t | 2023 | unchanged | flat |
| 121 | Colombia | 1 1000 t | 2023 | down 85.7% | volatile |
| 121 | Denmark | 1 1000 t | 2023 | down 50.0% | falling |
| 121 | Finland | 1 1000 t | 2023 | unchanged | rising |
| 121 | Fiji | 1 1000 t | 2023 | — | volatile |
| 121 | Gabon | 1 1000 t | 2023 | unchanged | flat |
| 121 | Guyana | 1 1000 t | 2023 | unchanged | flat |
| 121 | Hungary | 1 1000 t | 2023 | unchanged | rising |
| 121 | Lesotho | 1 1000 t | 2023 | unchanged | volatile |
| 121 | Lithuania | 1 1000 t | 2023 | unchanged | flat |
| 121 | Latvia | 1 1000 t | 2023 | unchanged | flat |
| 121 | Montenegro | 1 1000 t | 2023 | down 50.0% | falling |
| 121 | Poland | 1 1000 t | 2023 | unchanged | flat |
| 121 | Slovakia | 1 1000 t | 2023 | unchanged | flat |
| 121 | Cabo Verde | 1 1000 t | 2023 | unchanged | flat |
| 121 | Melanesia | 1 1000 t | 2023 | — | volatile |
| 121 | Republic of Moldova | 1 1000 t | 2023 | down 50.0% | falling |
| 121 | China, Taiwan Province of | 1 1000 t | 2023 | down 50.0% | volatile |
| 140 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 140 | Bahamas | 0 1000 t | 2023 | — | flat |
| 140 | Belize | 0 1000 t | 2023 | — | flat |
| 140 | Barbados | 0 1000 t | 2023 | — | flat |
| 140 | Bhutan | 0 1000 t | 2023 | — | flat |
| 140 | Comoros | 0 1000 t | 2023 | — | flat |
| 140 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 140 | Estonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Grenada | 0 1000 t | 2023 | — | flat |
| 140 | Honduras | 0 1000 t | 2023 | — | flat |
| 140 | Jamaica | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 140 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 140 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 140 | Malta | 0 1000 t | 2023 | — | flat |
| 140 | Mauritius | 0 1000 t | 2023 | — | flat |
| 140 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 140 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 140 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 140 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 140 | El Salvador | 0 1000 t | 2023 | — | flat |
| 140 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 140 | Suriname | 0 1000 t | 2023 | — | flat |
| 140 | Seychelles | 0 1000 t | 2023 | — | flat |
| 140 | Tonga | 0 1000 t | 2023 | — | flat |
| 140 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 140 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 140 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 140 | Micronesia | 0 1000 t | 2023 | — | flat |
| 140 | Timor-Leste | 0 1000 t | 2023 | down 100.0% | volatile |
| 140 | Polynesia | 0 1000 t | 2023 | — | flat |
| 140 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 140 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 140 | 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 19,001 1000 t
- Asia 12,483 1000 t
- Eastern Asia 5,613 1000 t
- Southern Asia 4,279 1000 t
- Net Food Importing Developing Countries (NFIDCs) 4,145 1000 t
- Africa 3,482 1000 t
- Low Income Food Deficit Countries (LIFDCs) 2,977 1000 t
- Least Developed Countries (LDCs) 2,454 1000 t
- Land Locked Developing Countries (LLDCs) 2,375 1000 t
- Western Asia 1,712 1000 t
- Oceania 1,331 1000 t
- Northern Africa 1,142 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.