Poultry Meat — 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
Poultry Meat — Residuals is currently reported for 57 countries. The highest value is 0 1000 t in United States; the lowest is -425 1000 t in China, mainland.
The median across all reporting countries is 0 1000 t, and the mean is -16.23 1000 t.
Over the past decade 5 countries rose and 13 fell. The largest increase was in South Africa (up 100.0%), and the largest decrease in United States (down 100.0%).
Poultry Meat — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | United States | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | South Africa | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 1 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 1 | Syria | 0 1000 t | 2023 | — | volatile |
| 1 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 1 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 1 | Portugal | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Poland | 0 1000 t | 2023 | — | volatile |
| 1 | Sweden | 0 1000 t | 2023 | — | volatile |
| 1 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 1 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 1 | Iran (Islamic Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 1 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 1 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | volatile |
| 1 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 1 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 1 | Italy | 0 1000 t | 2023 | — | volatile |
| 1 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Ireland | 0 1000 t | 2023 | — | volatile |
| 1 | India | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Hungary | 0 1000 t | 2023 | — | volatile |
| 1 | Philippines | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | United Kingdom | 0 1000 t | 2023 | — | volatile |
| 1 | Spain | 0 1000 t | 2023 | up 100.0% | volatile |
| 1 | Egypt | 0 1000 t | 2023 | — | volatile |
| 1 | Canada | 0 1000 t | 2023 | — | volatile |
| 1 | Algeria | 0 1000 t | 2023 | — | volatile |
| 1 | Germany | 0 1000 t | 2023 | — | volatile |
| 1 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 1 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 1 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 1 | Oman | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Belarus | 0 1000 t | 2023 | — | volatile |
| 1 | Belize | 0 1000 t | 2023 | — | volatile |
| 1 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 1 | Maldives | 0 1000 t | 2023 | — | volatile |
| 1 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 1 | Belgium | 0 1000 t | 2023 | down 100.0% | volatile |
| 1 | Norway | 0 1000 t | 2023 | — | volatile |
| 1 | Austria | 0 1000 t | 2023 | — | volatile |
| 185 | Slovenia | -2 1000 t | 2023 | — | volatile |
| 185 | Malaysia | -2 1000 t | 2023 | — | volatile |
| 187 | Thailand | -4 1000 t | 2023 | — | volatile |
| 188 | Ukraine | -9 1000 t | 2023 | — | volatile |
| 188 | Netherlands (Kingdom of the) | -9 1000 t | 2023 | — | volatile |
| 188 | United Arab Emirates | -9 1000 t | 2023 | down 28.6% | volatile |
| 191 | Russian Federation | -20 1000 t | 2023 | — | volatile |
| 191 | Russia | -20 1000 t | 2023 | — | volatile |
| 193 | China | -425 1000 t | 2023 | down 17.7% | falling |
| 193 | China, mainland | -425 1000 t | 2023 | down 17.7% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Central Asia 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Northern America 0 1000 t
- Americas 0 1000 t
- South America 0 1000 t
- Oceania 0 1000 t
- Africa 0 1000 t
- Northern Africa 0 1000 t
- Southern Africa 0 1000 t
- Central America 0 1000 t
- Northern Europe 0 1000 t
- Southern Asia 0 1000 t
- United States of America 0 1000 t
- Land Locked Developing Countries (LLDCs) 0 1000 t
- Low Income Food Deficit Countries (LIFDCs) 0 1000 t
- Net Food Importing Developing Countries (NFIDCs) 0 1000 t
- Southern Europe -2 1000 t
- South-Eastern Asia -6 1000 t
- Western Europe -9 1000 t
- Western Asia -10 1000 t
- European Union (27) -12 1000 t
- Eastern Europe -29 1000 t
- Europe -41 1000 t
- Eastern Asia -425 1000 t
- Asia -441 1000 t
- World -482 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.