Meat, Other — Food 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 — Food is currently reported for 155 countries. The highest value is 1,099 1000 t in China; the lowest is 0 1000 t in Venezuela (Bolivarian Republic of).
The median across all reporting countries is 10 1000 t, and the mean is 55.61 1000 t.
Over the past decade 63 countries rose and 49 fell. The largest increase was in Turkmenistan (up 1,300.0%), and the largest decrease in Azerbaijan (down 100.0%).
Meat, Other — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,099 1000 t | 2023 | down 31.7% | falling |
| 2 | China, mainland | 1,081 1000 t | 2023 | down 31.8% | falling |
| 3 | Russia | 582 1000 t | 2023 | up 23.0% | rising |
| 3 | Russian Federation | 582 1000 t | 2023 | up 23.0% | rising |
| 5 | Papua New Guinea | 443 1000 t | 2023 | up 13.6% | rising |
| 5 | Melanesia | 443 1000 t | 2023 | up 13.3% | rising |
| 7 | United States | 271 1000 t | 2023 | up 4.6% | rising |
| 8 | India | 195 1000 t | 2023 | up 8.3% | rising |
| 9 | Cote d'Ivoire | 192 1000 t | 2023 | up 17.8% | rising |
| 9 | Côte d'Ivoire | 192 1000 t | 2023 | up 17.8% | rising |
| 11 | Kazakhstan | 180 1000 t | 2023 | up 81.8% | rising |
| 12 | Nigeria | 177 1000 t | 2023 | up 4.7% | rising |
| 13 | Democratic Republic of the Congo | 170 1000 t | 2023 | up 3.7% | rising |
| 14 | Democratic People's Republic of Korea | 153 1000 t | 2018 | up 2.0% | flat |
| 15 | Ethiopia | 127 1000 t | 2023 | up 25.7% | rising |
| 16 | Ghana | 125 1000 t | 2023 | up 6.8% | rising |
| 17 | Egypt | 119 1000 t | 2023 | up 26.6% | rising |
| 18 | Brazil | 102 1000 t | 2023 | up 88.9% | rising |
| 19 | Kenya | 89 1000 t | 2023 | down 5.3% | falling |
| 20 | Cameroon | 81 1000 t | 2023 | up 15.7% | rising |
| 20 | Mongolia | 81 1000 t | 2023 | up 138.2% | rising |
| 22 | Germany | 78 1000 t | 2023 | down 62.0% | falling |
| 23 | Mexico | 76 1000 t | 2023 | up 1.3% | rising |
| 24 | United Kingdom | 75 1000 t | 2023 | down 20.2% | falling |
| 24 | United Kingdom of Great Britain and Northern Ireland | 75 1000 t | 2023 | down 20.2% | falling |
| 26 | Italy | 74 1000 t | 2023 | down 79.9% | volatile |
| 27 | Morocco | 72 1000 t | 2023 | up 16.1% | rising |
| 28 | Spain | 69 1000 t | 2023 | down 25.0% | falling |
| 28 | Saudi Arabia | 69 1000 t | 2023 | up 40.8% | rising |
| 30 | Niger | 59 1000 t | 2023 | up 20.4% | rising |
| 31 | South Africa | 53 1000 t | 2023 | up 29.3% | rising |
| 32 | Argentina | 51 1000 t | 2023 | up 18.6% | rising |
| 32 | Cuba | 51 1000 t | 2019 | down 17.7% | flat |
| 34 | Congo | 48 1000 t | 2023 | up 17.1% | rising |
| 35 | Netherlands (Kingdom of the) | 43 1000 t | 2023 | down 54.7% | falling |
| 36 | Zambia | 42 1000 t | 2023 | up 7.7% | rising |
| 37 | Caribbean | 41 1000 t | 2023 | down 41.4% | falling |
| 38 | Australia and New Zealand | 40 1000 t | 2023 | down 37.5% | falling |
| 39 | United Arab Emirates | 38 1000 t | 2023 | up 46.2% | rising |
| 39 | Peru | 38 1000 t | 2023 | up 2.7% | flat |
| 39 | Zimbabwe | 38 1000 t | 2023 | up 15.2% | rising |
| 42 | France | 35 1000 t | 2023 | down 79.8% | falling |
| 43 | Gabon | 32 1000 t | 2023 | up 10.3% | flat |
| 43 | Mauritania | 32 1000 t | 2023 | up 18.5% | rising |
| 45 | Botswana | 31 1000 t | 2023 | up 34.8% | rising |
| 46 | Australia | 30 1000 t | 2023 | down 43.4% | falling |
| 46 | Kyrgyzstan | 30 1000 t | 2023 | up 233.3% | volatile |
| 46 | Pakistan | 30 1000 t | 2023 | up 30.4% | rising |
| 46 | Uganda | 30 1000 t | 2023 | up 11.1% | rising |
| 50 | Vietnam | 29 1000 t | 2023 | up 7.4% | flat |
| 50 | Viet Nam | 29 1000 t | 2023 | up 7.4% | flat |
| 52 | Chile | 27 1000 t | 2023 | up 200.0% | rising |
| 53 | United Republic of Tanzania | 26 1000 t | 2023 | up 18.2% | rising |
| 54 | Belgium | 24 1000 t | 2023 | down 4.0% | rising |
| 54 | Algeria | 24 1000 t | 2023 | up 71.4% | rising |
| 56 | Canada | 22 1000 t | 2023 | up 633.3% | volatile |
| 56 | Bolivia (Plurinational State of) | 22 1000 t | 2023 | up 22.2% | rising |
| 58 | Bangladesh | 20 1000 t | 2023 | up 25.0% | flat |
| 58 | Czechia | 20 1000 t | 2023 | down 52.4% | falling |
| 58 | Rwanda | 20 1000 t | 2023 | up 17.6% | rising |
| 58 | Senegal | 20 1000 t | 2023 | up 25.0% | rising |
| 62 | Greece | 19 1000 t | 2023 | down 56.8% | falling |
| 62 | Ireland | 19 1000 t | 2023 | up 137.5% | volatile |
| 64 | Oman | 18 1000 t | 2023 | up 28.6% | rising |
| 64 | Philippines | 18 1000 t | 2023 | down 14.3% | falling |
| 66 | East Timor | 17 1000 t | 2023 | unchanged | falling |
| 66 | Timor-Leste | 17 1000 t | 2023 | unchanged | falling |
| 68 | Ukraine | 15 1000 t | 2023 | down 44.4% | falling |
| 68 | China, Hong Kong SAR | 15 1000 t | 2023 | down 25.0% | falling |
| 70 | Liberia | 14 1000 t | 2023 | up 75.0% | rising |
| 70 | Turkmenistan | 14 1000 t | 2023 | up 1,300.0% | volatile |
| 72 | Afghanistan | 12 1000 t | 2023 | unchanged | rising |
| 72 | Namibia | 12 1000 t | 2023 | up 20.0% | rising |
| 72 | Sierra Leone | 12 1000 t | 2023 | down 14.3% | flat |
| 75 | Slovakia | 11 1000 t | 2023 | up 22.2% | falling |
| 75 | Republic of Korea | 11 1000 t | 2023 | unchanged | falling |
| 77 | Angola | 10 1000 t | 2023 | up 11.1% | rising |
| 77 | Burkina Faso | 10 1000 t | 2023 | up 25.0% | flat |
| 77 | Ecuador | 10 1000 t | 2023 | unchanged | flat |
| 77 | Haiti | 10 1000 t | 2023 | up 11.1% | rising |
| 77 | Kuwait | 10 1000 t | 2023 | up 400.0% | volatile |
| 77 | New Zealand | 10 1000 t | 2023 | down 9.1% | rising |
| 77 | Tunisia | 10 1000 t | 2023 | unchanged | flat |
| 77 | Uzbekistan | 10 1000 t | 2023 | unchanged | flat |
| 85 | Switzerland | 9 1000 t | 2023 | down 40.0% | falling |
| 85 | Iran (Islamic Republic of) | 9 1000 t | 2023 | down 18.2% | falling |
| 87 | Colombia | 8 1000 t | 2023 | up 14.3% | rising |
| 87 | Madagascar | 8 1000 t | 2023 | unchanged | flat |
| 87 | Norway | 8 1000 t | 2023 | down 33.3% | falling |
| 90 | Guinea | 7 1000 t | 2023 | up 16.7% | rising |
| 90 | Portugal | 7 1000 t | 2023 | down 50.0% | falling |
| 92 | Libya | 6 1000 t | 2023 | unchanged | rising |
| 92 | Lesotho | 6 1000 t | 2023 | unchanged | falling |
| 92 | Thailand | 6 1000 t | 2023 | up 200.0% | volatile |
| 95 | Denmark | 5 1000 t | 2023 | unchanged | falling |
| 95 | Hungary | 5 1000 t | 2023 | down 75.0% | volatile |
| 97 | Austria | 4 1000 t | 2023 | down 66.7% | falling |
| 97 | Bulgaria | 4 1000 t | 2023 | down 42.9% | falling |
| 97 | Croatia | 4 1000 t | 2023 | up 33.3% | rising |
| 97 | Iceland | 4 1000 t | 2023 | up 33.3% | rising |
| 97 | Poland | 4 1000 t | 2023 | down 33.3% | falling |
| 97 | Romania | 4 1000 t | 2023 | down 63.6% | volatile |
| 103 | Finland | 3 1000 t | 2023 | down 66.7% | falling |
| 103 | Guatemala | 3 1000 t | 2023 | unchanged | flat |
| 103 | Iraq | 3 1000 t | 2023 | up 50.0% | volatile |
| 103 | Sweden | 3 1000 t | 2023 | down 84.2% | volatile |
| 103 | Yemen | 3 1000 t | 2023 | unchanged | rising |
| 108 | Bosnia and Herzegovina | 2 1000 t | 2023 | — | volatile |
| 108 | Belarus | 2 1000 t | 2023 | unchanged | falling |
| 108 | Gambia | 2 1000 t | 2023 | up 100.0% | rising |
| 108 | Indonesia | 2 1000 t | 2023 | unchanged | falling |
| 108 | Laos | 2 1000 t | 2023 | — | volatile |
| 108 | Nicaragua | 2 1000 t | 2023 | down 33.3% | falling |
| 108 | Panama | 2 1000 t | 2023 | down 33.3% | rising |
| 108 | Paraguay | 2 1000 t | 2023 | up 100.0% | rising |
| 108 | Tajikistan | 2 1000 t | 2023 | unchanged | falling |
| 108 | Lao People's Democratic Republic | 2 1000 t | 2023 | — | volatile |
| 108 | China, Taiwan Province of | 2 1000 t | 2023 | unchanged | rising |
| 119 | Bahrain | 1 1000 t | 2023 | — | rising |
| 119 | Djibouti | 1 1000 t | 2023 | unchanged | flat |
| 119 | Georgia | 1 1000 t | 2023 | — | volatile |
| 119 | Honduras | 1 1000 t | 2023 | unchanged | flat |
| 119 | Jordan | 1 1000 t | 2023 | unchanged | rising |
| 119 | Cambodia | 1 1000 t | 2023 | — | volatile |
| 119 | Lithuania | 1 1000 t | 2023 | down 50.0% | falling |
| 119 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 119 | Latvia | 1 1000 t | 2023 | unchanged | falling |
| 119 | Moldova | 1 1000 t | 2023 | unchanged | flat |
| 119 | North Macedonia | 1 1000 t | 2023 | unchanged | volatile |
| 119 | Malta | 1 1000 t | 2023 | down 50.0% | volatile |
| 119 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 119 | Malaysia | 1 1000 t | 2023 | — | volatile |
| 119 | Qatar | 1 1000 t | 2023 | — | falling |
| 119 | Slovenia | 1 1000 t | 2023 | unchanged | flat |
| 119 | Syria | 1 1000 t | 2023 | down 50.0% | falling |
| 119 | Turkey | 1 1000 t | 2023 | down 50.0% | falling |
| 119 | Uruguay | 1 1000 t | 2023 | down 66.7% | rising |
| 119 | Republic of Moldova | 1 1000 t | 2023 | unchanged | flat |
| 119 | Syrian Arab Republic | 1 1000 t | 2023 | down 50.0% | falling |
| 119 | Türkiye | 1 1000 t | 2023 | down 50.0% | falling |
| 119 | China, Macao SAR | 1 1000 t | 2023 | unchanged | volatile |
| 142 | Albania | 0 1000 t | 2023 | — | volatile |
| 142 | Azerbaijan | 0 1000 t | 2023 | down 100.0% | volatile |
| 142 | Comoros | 0 1000 t | 2023 | — | volatile |
| 142 | Cyprus | 0 1000 t | 2023 | down 100.0% | falling |
| 142 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 142 | Estonia | 0 1000 t | 2023 | — | volatile |
| 142 | Maldives | 0 1000 t | 2023 | — | volatile |
| 142 | Myanmar | 0 1000 t | 2023 | down 100.0% | volatile |
| 142 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 142 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 142 | French Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 142 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 142 | Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 142 | Venezuela (Bolivarian Republic of) | 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 6,408 1000 t
- Asia 2,086 1000 t
- Africa 2,021 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,717 1000 t
- Eastern Asia 1,358 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,335 1000 t
- Europe 1,138 1000 t
- Least Developed Countries (LDCs) 978 1000 t
- Land Locked Developing Countries (LLDCs) 816 1000 t
- Western Africa 711 1000 t
- Americas 680 1000 t
- Eastern Europe 649 1000 t
- Small island developing States (SIDS) 503 1000 t
- Oceania 483 1000 t
- Eastern Africa 443 1000 t
- European Union (27) 439 1000 t
- Middle Africa 391 1000 t
- Northern Africa 373 1000 t
- Northern America 294 1000 t
- United States of America 271 1000 t
- Southern Asia 266 1000 t
- South America 262 1000 t
- Central Asia 236 1000 t
- Western Europe 194 1000 t
- Southern Europe 176 1000 t
- Western Asia 150 1000 t
- Northern Europe 120 1000 t
- Southern Africa 102 1000 t
- Central America 83 1000 t
- South-Eastern Asia 77 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.