Meat, Other — Residuals 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 — Residuals is currently reported for 181 countries. The highest value is 0 1000 t in Afghanistan; the lowest is -72 1000 t in Thailand.
The median across all reporting countries is 0 1000 t, and the mean is -0.9558 1000 t.
Over the past decade 14 countries rose and 10 fell. The largest increase was in Belgium (up 100.0%), and the largest decrease in Hungary (down 300.0%).
Meat, Other — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 1 | Angola | 0 1000 t | 2023 | — | flat |
| 1 | Albania | 0 1000 t | 2023 | — | volatile |
| 1 | Argentina | 0 1000 t | 2023 | — | volatile |
| 1 | Armenia | 0 1000 t | 2023 | — | flat |
| 1 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 1 | Austria | 0 1000 t | 2023 | — | flat |
| 1 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 1 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 1 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 1 | Bahrain | 0 1000 t | 2023 | — | flat |
| 1 | Bahamas | 0 1000 t | 2023 | — | flat |
| 1 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 1 | Belarus | 0 1000 t | 2023 | — | flat |
| 1 | Belize | 0 1000 t | 2023 | — | flat |
| 1 | Brazil | 0 1000 t | 2023 | — | volatile |
| 1 | Barbados | 0 1000 t | 2023 | — | flat |
| 1 | Botswana | 0 1000 t | 2023 | — | flat |
| 1 | Canada | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Chile | 0 1000 t | 2023 | — | volatile |
| 1 | Cameroon | 0 1000 t | 2023 | — | flat |
| 1 | Congo | 0 1000 t | 2023 | — | flat |
| 1 | Colombia | 0 1000 t | 2023 | — | flat |
| 1 | Comoros | 0 1000 t | 2023 | — | flat |
| 1 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 1 | Cuba | 0 1000 t | 2019 | — | flat |
| 1 | Cyprus | 0 1000 t | 2023 | — | flat |
| 1 | Germany | 0 1000 t | 2023 | — | flat |
| 1 | Djibouti | 0 1000 t | 2023 | — | flat |
| 1 | Denmark | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 1 | Algeria | 0 1000 t | 2023 | — | volatile |
| 1 | Ecuador | 0 1000 t | 2023 | — | flat |
| 1 | Egypt | 0 1000 t | 2023 | — | volatile |
| 1 | Estonia | 0 1000 t | 2023 | — | volatile |
| 1 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 1 | Finland | 0 1000 t | 2023 | — | flat |
| 1 | Fiji | 0 1000 t | 2023 | — | flat |
| 1 | Gabon | 0 1000 t | 2023 | — | flat |
| 1 | Georgia | 0 1000 t | 2023 | — | flat |
| 1 | Ghana | 0 1000 t | 2023 | — | flat |
| 1 | Guinea | 0 1000 t | 2023 | — | flat |
| 1 | Gambia | 0 1000 t | 2023 | — | flat |
| 1 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 1 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Grenada | 0 1000 t | 2023 | — | flat |
| 1 | Guatemala | 0 1000 t | 2023 | — | flat |
| 1 | Guyana | 0 1000 t | 2023 | — | flat |
| 1 | Honduras | 0 1000 t | 2023 | — | flat |
| 1 | Croatia | 0 1000 t | 2023 | — | flat |
| 1 | Haiti | 0 1000 t | 2023 | — | flat |
| 1 | Ireland | 0 1000 t | 2023 | — | volatile |
| 1 | Iraq | 0 1000 t | 2023 | — | flat |
| 1 | Iceland | 0 1000 t | 2023 | — | volatile |
| 1 | Israel | 0 1000 t | 2023 | — | volatile |
| 1 | Jamaica | 0 1000 t | 2023 | — | flat |
| 1 | Jordan | 0 1000 t | 2023 | — | volatile |
| 1 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 1 | Kenya | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Cambodia | 0 1000 t | 2023 | — | flat |
| 1 | Kiribati | 0 1000 t | 2023 | — | flat |
| 1 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 1 | Kuwait | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Lebanon | 0 1000 t | 2023 | — | flat |
| 1 | Liberia | 0 1000 t | 2023 | — | flat |
| 1 | Libya | 0 1000 t | 2023 | — | flat |
| 1 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 1 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 1 | Lesotho | 0 1000 t | 2023 | — | flat |
| 1 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 1 | Latvia | 0 1000 t | 2023 | — | volatile |
| 1 | Morocco | 0 1000 t | 2023 | — | flat |
| 1 | Madagascar | 0 1000 t | 2023 | — | flat |
| 1 | Maldives | 0 1000 t | 2023 | — | volatile |
| 1 | Mexico | 0 1000 t | 2023 | — | flat |
| 1 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 1 | Malta | 0 1000 t | 2023 | — | flat |
| 1 | Montenegro | 0 1000 t | 2023 | — | flat |
| 1 | Mongolia | 0 1000 t | 2023 | — | flat |
| 1 | Mozambique | 0 1000 t | 2023 | — | flat |
| 1 | Mauritania | 0 1000 t | 2023 | — | flat |
| 1 | Mauritius | 0 1000 t | 2023 | — | flat |
| 1 | Malawi | 0 1000 t | 2023 | — | flat |
| 1 | Namibia | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 1 | Niger | 0 1000 t | 2023 | — | flat |
| 1 | Nigeria | 0 1000 t | 2023 | — | flat |
| 1 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 1 | Norway | 0 1000 t | 2023 | — | flat |
| 1 | Nepal | 0 1000 t | 2023 | — | flat |
| 1 | Nauru | 0 1000 t | 2023 | — | flat |
| 1 | Oman | 0 1000 t | 2023 | — | volatile |
| 1 | Panama | 0 1000 t | 2023 | — | flat |
| 1 | Peru | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Philippines | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 1 | Portugal | 0 1000 t | 2023 | — | flat |
| 1 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 1 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 1 | Qatar | 0 1000 t | 2023 | — | flat |
| 1 | Rwanda | 0 1000 t | 2023 | — | flat |
| 1 | Saudi Arabia | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Senegal | 0 1000 t | 2023 | — | volatile |
| 1 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 1 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 1 | El Salvador | 0 1000 t | 2023 | — | flat |
| 1 | Serbia | 0 1000 t | 2023 | — | volatile |
| 1 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 1 | Suriname | 0 1000 t | 2023 | — | flat |
| 1 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 1 | Slovenia | 0 1000 t | 2023 | — | flat |
| 1 | Eswatini | 0 1000 t | 2023 | — | flat |
| 1 | Seychelles | 0 1000 t | 2023 | — | flat |
| 1 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 1 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 1 | Tonga | 0 1000 t | 2023 | — | flat |
| 1 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 1 | Tunisia | 0 1000 t | 2023 | — | flat |
| 1 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 1 | Uganda | 0 1000 t | 2023 | — | flat |
| 1 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 1 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 1 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 1 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 1 | Samoa | 0 1000 t | 2023 | — | flat |
| 1 | Yemen | 0 1000 t | 2023 | — | flat |
| 1 | Zambia | 0 1000 t | 2023 | — | flat |
| 1 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Micronesia | 0 1000 t | 2023 | — | flat |
| 1 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 1 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 1 | Melanesia | 0 1000 t | 2023 | — | flat |
| 1 | Polynesia | 0 1000 t | 2023 | — | flat |
| 1 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 1 | Caribbean | 0 1000 t | 2023 | — | flat |
| 1 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 1 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 1 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 1 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 1 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 1 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 1 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 1 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 1 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 1 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 1 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 1 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 1 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 1 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 1 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 155 | Bulgaria | -1 1000 t | 2023 | unchanged | volatile |
| 155 | Czechia | -1 1000 t | 2023 | — | volatile |
| 155 | India | -1 1000 t | 2023 | up 50.0% | rising |
| 155 | Lithuania | -1 1000 t | 2023 | — | volatile |
| 155 | North Macedonia | -1 1000 t | 2023 | — | volatile |
| 155 | Myanmar | -1 1000 t | 2023 | — | volatile |
| 155 | Malaysia | -1 1000 t | 2023 | — | volatile |
| 155 | New Zealand | -1 1000 t | 2023 | — | volatile |
| 155 | Viet Nam | -1 1000 t | 2023 | — | volatile |
| 155 | Türkiye | -1 1000 t | 2023 | unchanged | volatile |
| 165 | China | -2 1000 t | 2023 | up 77.8% | volatile |
| 165 | Uruguay | -2 1000 t | 2023 | — | volatile |
| 165 | China, mainland | -2 1000 t | 2023 | up 77.8% | volatile |
| 168 | Australia | -3 1000 t | 2023 | down 50.0% | volatile |
| 168 | Indonesia | -3 1000 t | 2023 | up 57.1% | rising |
| 168 | Sweden | -3 1000 t | 2023 | — | volatile |
| 171 | Hungary | -4 1000 t | 2023 | down 300.0% | falling |
| 171 | Italy | -4 1000 t | 2023 | down 300.0% | volatile |
| 171 | Australia and New Zealand | -4 1000 t | 2023 | down 100.0% | volatile |
| 174 | Netherlands (Kingdom of the) | -5 1000 t | 2023 | — | volatile |
| 175 | Spain | -6 1000 t | 2023 | — | volatile |
| 175 | Romania | -6 1000 t | 2023 | — | volatile |
| 177 | Pakistan | -8 1000 t | 2023 | — | volatile |
| 178 | France | -9 1000 t | 2023 | — | volatile |
| 179 | Poland | -11 1000 t | 2023 | up 35.3% | volatile |
| 180 | United Arab Emirates | -19 1000 t | 2023 | — | volatile |
| 181 | Thailand | -72 1000 t | 2023 | down 67.4% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- South Africa 0 1000 t
- Small Island Developing States (SIDS) 0 1000 t
- Central Asia 0 1000 t
- Eastern Africa 0 1000 t
- Northern Africa 0 1000 t
- Southern Africa 0 1000 t
- Western Africa 0 1000 t
- Central America 0 1000 t
- Middle Africa 0 1000 t
- Low Income Food Deficit Countries (LIFDCs) 0 1000 t
- Africa -1 1000 t
- Least Developed Countries (LDCs) -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.