Poultry Meat — Stock Variation 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 — Stock Variation is currently reported for 136 countries. The highest value is 192 1000 t in Germany; the lowest is -55 1000 t in United Arab Emirates.
The median across all reporting countries is 0 1000 t, and the mean is 4.43 1000 t.
The gap between the highest and lowest reporting country is a factor of about 3.
Over the past decade 35 countries rose and 50 fell. The largest increase was in Argentina (up 4,350.0%), and the largest decrease in United Arab Emirates (down 5,400.0%).
Poultry Meat — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 192 1000 t | 2023 | — | volatile |
| 2 | Argentina | 89 1000 t | 2023 | up 4,350.0% | volatile |
| 3 | France | 87 1000 t | 2023 | up 514.3% | volatile |
| 4 | Portugal | 84 1000 t | 2023 | up 133.3% | volatile |
| 5 | Hungary | 49 1000 t | 2023 | — | volatile |
| 6 | Italy | 41 1000 t | 2023 | — | volatile |
| 7 | Romania | 35 1000 t | 2023 | up 172.9% | volatile |
| 8 | Finland | 25 1000 t | 2023 | up 733.3% | volatile |
| 9 | Philippines | 16 1000 t | 2023 | down 71.9% | volatile |
| 10 | Croatia | 13 1000 t | 2023 | down 55.2% | volatile |
| 10 | Netherlands (Kingdom of the) | 13 1000 t | 2023 | — | volatile |
| 12 | Canada | 12 1000 t | 2023 | up 500.0% | volatile |
| 13 | Australia | 11 1000 t | 2023 | up 142.3% | volatile |
| 14 | Lithuania | 10 1000 t | 2023 | — | volatile |
| 15 | Czechia | 9 1000 t | 2023 | up 228.6% | volatile |
| 16 | Austria | 8 1000 t | 2023 | up 214.3% | volatile |
| 17 | Azerbaijan | 7 1000 t | 2023 | — | volatile |
| 17 | Indonesia | 7 1000 t | 2023 | down 87.9% | volatile |
| 17 | China, Macao SAR | 7 1000 t | 2023 | — | volatile |
| 20 | Australia and New Zealand | 6 1000 t | 2023 | up 123.1% | volatile |
| 21 | Estonia | 5 1000 t | 2023 | up 150.0% | rising |
| 21 | Kyrgyzstan | 5 1000 t | 2023 | up 600.0% | volatile |
| 23 | Polynesia | 4 1000 t | 2023 | up 300.0% | volatile |
| 24 | French Polynesia | 3 1000 t | 2023 | up 200.0% | volatile |
| 24 | China, Taiwan Province of | 3 1000 t | 2023 | down 80.0% | volatile |
| 26 | Algeria | 2 1000 t | 2023 | down 71.4% | volatile |
| 26 | Cambodia | 2 1000 t | 2023 | unchanged | volatile |
| 26 | Slovenia | 2 1000 t | 2023 | up 100.0% | volatile |
| 26 | Democratic People's Republic of Korea | 2 1000 t | 2018 | — | volatile |
| 30 | Afghanistan | 1 1000 t | 2023 | down 87.5% | volatile |
| 30 | Belgium | 1 1000 t | 2023 | down 96.6% | volatile |
| 30 | Latvia | 1 1000 t | 2023 | — | volatile |
| 30 | Norway | 1 1000 t | 2023 | down 50.0% | volatile |
| 30 | Poland | 1 1000 t | 2023 | up 101.9% | volatile |
| 30 | Rwanda | 1 1000 t | 2023 | down 50.0% | volatile |
| 30 | Slovakia | 1 1000 t | 2023 | — | volatile |
| 30 | Turkey | 1 1000 t | 2023 | unchanged | volatile |
| 30 | Samoa | 1 1000 t | 2023 | — | flat |
| 30 | Türkiye | 1 1000 t | 2023 | unchanged | volatile |
| 40 | Bangladesh | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Bulgaria | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Belize | 0 1000 t | 2023 | — | volatile |
| 40 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Cote d'Ivoire | 0 1000 t | 2023 | down 100.0% | flat |
| 40 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 40 | Congo | 0 1000 t | 2023 | — | volatile |
| 40 | Colombia | 0 1000 t | 2023 | — | volatile |
| 40 | Comoros | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Costa Rica | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Denmark | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Egypt | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Spain | 0 1000 t | 2023 | — | volatile |
| 40 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Georgia | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Ghana | 0 1000 t | 2023 | — | volatile |
| 40 | Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Guatemala | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Iceland | 0 1000 t | 2023 | — | volatile |
| 40 | Israel | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 40 | Kenya | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Kuwait | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Laos | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 40 | Liberia | 0 1000 t | 2023 | — | volatile |
| 40 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 40 | Lesotho | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 40 | Morocco | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Madagascar | 0 1000 t | 2023 | — | volatile |
| 40 | Maldives | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Mexico | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Marshall Islands | 0 1000 t | 2023 | — | volatile |
| 40 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 40 | Montenegro | 0 1000 t | 2023 | — | volatile |
| 40 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Mauritius | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Malawi | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Namibia | 0 1000 t | 2023 | — | volatile |
| 40 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Niger | 0 1000 t | 2023 | — | volatile |
| 40 | Nigeria | 0 1000 t | 2023 | up 100.0% | flat |
| 40 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Nepal | 0 1000 t | 2023 | — | volatile |
| 40 | Oman | 0 1000 t | 2023 | — | volatile |
| 40 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Russia | 0 1000 t | 2023 | — | volatile |
| 40 | Saudi Arabia | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Senegal | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Sierra Leone | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 40 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 40 | Suriname | 0 1000 t | 2023 | — | volatile |
| 40 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 40 | Thailand | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Tajikistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Turkmenistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 40 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 40 | Uruguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 40 | Uzbekistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 40 | South Africa | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Zambia | 0 1000 t | 2023 | — | volatile |
| 40 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 40 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 40 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 40 | Republic of Korea | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | Russian Federation | 0 1000 t | 2023 | — | volatile |
| 40 | Côte d'Ivoire | 0 1000 t | 2023 | down 100.0% | flat |
| 40 | Lao People's Democratic Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 40 | United Republic of Tanzania | 0 1000 t | 2023 | up 100.0% | volatile |
| 183 | Jamaica | -2 1000 t | 2023 | up 60.0% | volatile |
| 183 | Caribbean | -2 1000 t | 2023 | down 150.0% | volatile |
| 185 | New Zealand | -5 1000 t | 2023 | — | volatile |
| 186 | China, mainland | -7 1000 t | 2023 | down 101.0% | falling |
| 187 | United Kingdom | -9 1000 t | 2023 | down 125.0% | volatile |
| 187 | Sweden | -9 1000 t | 2023 | — | volatile |
| 187 | United Kingdom of Great Britain and Northern Ireland | -9 1000 t | 2023 | down 125.0% | volatile |
| 190 | China | -13 1000 t | 2023 | down 101.7% | falling |
| 191 | Qatar | -15 1000 t | 2023 | — | volatile |
| 191 | China, Hong Kong SAR | -15 1000 t | 2023 | down 287.5% | volatile |
| 193 | United States | -16 1000 t | 2023 | — | volatile |
| 194 | United Arab Emirates | -55 1000 t | 2023 | down 5,400.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 613 1000 t
- European Union (27) 569 1000 t
- Europe 561 1000 t
- Western Europe 302 1000 t
- Southern Europe 140 1000 t
- Eastern Europe 95 1000 t
- South America 89 1000 t
- Americas 83 1000 t
- Northern Europe 25 1000 t
- South-Eastern Asia 25 1000 t
- Land Locked Developing Countries (LLDCs) 13 1000 t
- Oceania 9 1000 t
- Low Income Food Deficit Countries (LIFDCs) 7 1000 t
- Central Asia 5 1000 t
- Least Developed Countries (LDCs) 4 1000 t
- Africa 3 1000 t
- Northern Africa 2 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2 1000 t
- Small island developing States (SIDS) 1 1000 t
- Eastern Africa 1 1000 t
- Middle Africa 1 1000 t
- Southern Africa 0 1000 t
- Western Africa 0 1000 t
- Central America 0 1000 t
- Southern Asia 0 1000 t
- Northern America -4 1000 t
- Eastern Asia -11 1000 t
- United States of America -16 1000 t
- Asia -44 1000 t
- Western Asia -62 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.