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 69 countries. The highest value is 0 1000 t in Namibia; the lowest is -72 1000 t in Thailand.
The median across all reporting countries is 0 1000 t, and the mean is -2.58 1000 t.
Over the past decade 15 countries rose and 11 fell. The largest increase was in Namibia (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 | Namibia | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Iceland | 0 1000 t | 2023 | — | volatile |
| 1 | Israel | 0 1000 t | 2023 | — | volatile |
| 1 | Jordan | 0 1000 t | 2023 | — | volatile |
| 1 | Kenya | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Kuwait | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Latvia | 0 1000 t | 2023 | — | volatile |
| 1 | Maldives | 0 1000 t | 2023 | — | volatile |
| 1 | Oman | 0 1000 t | 2023 | — | volatile |
| 1 | Peru | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Philippines | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 1 | Saudi Arabia | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Senegal | 0 1000 t | 2023 | — | volatile |
| 1 | Serbia | 0 1000 t | 2023 | — | volatile |
| 1 | Slovakia | 0 1000 t | 2023 | — | volatile |
| 1 | Zimbabwe | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 1 | South Africa | 0 1000 t | 2023 | — | volatile |
| 1 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Albania | 0 1000 t | 2023 | — | volatile |
| 1 | Argentina | 0 1000 t | 2023 | — | volatile |
| 1 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 1 | Brazil | 0 1000 t | 2023 | — | volatile |
| 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 | Ireland | 0 1000 t | 2023 | — | volatile |
| 1 | Denmark | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Egypt | 0 1000 t | 2023 | — | volatile |
| 1 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 1 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 1 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | United Kingdom | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 1 | Estonia | 0 1000 t | 2023 | — | volatile |
| 1 | Algeria | 0 1000 t | 2023 | — | volatile |
| 164 | Vietnam | -1 1000 t | 2023 | — | volatile |
| 164 | Czechia | -1 1000 t | 2023 | — | volatile |
| 164 | Türkiye | -1 1000 t | 2023 | unchanged | volatile |
| 164 | Viet Nam | -1 1000 t | 2023 | — | volatile |
| 164 | India | -1 1000 t | 2023 | up 50.0% | rising |
| 164 | Lithuania | -1 1000 t | 2023 | — | volatile |
| 164 | North Macedonia | -1 1000 t | 2023 | — | volatile |
| 164 | Bulgaria | -1 1000 t | 2023 | unchanged | volatile |
| 164 | Malaysia | -1 1000 t | 2023 | — | volatile |
| 164 | New Zealand | -1 1000 t | 2023 | — | volatile |
| 164 | Turkey | -1 1000 t | 2023 | unchanged | volatile |
| 164 | Myanmar | -1 1000 t | 2023 | — | volatile |
| 176 | China | -2 1000 t | 2023 | up 77.8% | volatile |
| 176 | Uruguay | -2 1000 t | 2023 | — | volatile |
| 176 | China, mainland | -2 1000 t | 2023 | up 77.8% | volatile |
| 179 | Australia | -3 1000 t | 2023 | down 50.0% | volatile |
| 179 | United States | -3 1000 t | 2023 | up 25.0% | volatile |
| 179 | Indonesia | -3 1000 t | 2023 | up 57.1% | rising |
| 179 | Sweden | -3 1000 t | 2023 | — | volatile |
| 183 | Hungary | -4 1000 t | 2023 | down 300.0% | falling |
| 183 | Australia and New Zealand | -4 1000 t | 2023 | down 100.0% | volatile |
| 183 | Italy | -4 1000 t | 2023 | down 300.0% | volatile |
| 186 | Netherlands (Kingdom of the) | -5 1000 t | 2023 | — | volatile |
| 187 | Spain | -6 1000 t | 2023 | — | volatile |
| 187 | Romania | -6 1000 t | 2023 | — | volatile |
| 189 | Pakistan | -8 1000 t | 2023 | — | volatile |
| 190 | France | -9 1000 t | 2023 | — | volatile |
| 191 | Poland | -11 1000 t | 2023 | up 35.3% | volatile |
| 192 | United Arab Emirates | -19 1000 t | 2023 | — | volatile |
| 193 | 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.
- Southern Africa 0 1000 t
- Northern Africa 0 1000 t
- Eastern Africa 0 1000 t
- Central Asia 0 1000 t
- Western Africa 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Low Income Food Deficit Countries (LIFDCs) 0 1000 t
- Land Locked Developing Countries (LLDCs) -1 1000 t
- Least Developed Countries (LDCs) -1 1000 t
- Africa -1 1000 t
- Eastern Asia -2 1000 t
- Northern America -3 1000 t
- United States of America -3 1000 t
- South America -4 1000 t
- Oceania -4 1000 t
- Northern Europe -5 1000 t
- Americas -7 1000 t
- Southern Asia -9 1000 t
- Net Food Importing Developing Countries (NFIDCs) -9 1000 t
- Southern Europe -12 1000 t
- Western Europe -14 1000 t
- Western Asia -20 1000 t
- Eastern Europe -23 1000 t
- European Union (27) -52 1000 t
- Europe -54 1000 t
- South-Eastern Asia -76 1000 t
- Asia -107 1000 t
- World -173 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.