Eggs — 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
Eggs — Residuals is currently reported for 182 countries. The highest value is 1 1000 t in China; the lowest is -130 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 0 1000 t, and the mean is -1.84 1000 t.
Over the past decade 10 countries rose and 15 fell. The largest increase was in Argentina (up 100.0%), and the largest decrease in Jordan (down 800.0%).
Eggs — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1 1000 t | 2023 | — | volatile |
| 1 | China, mainland | 1 1000 t | 2023 | — | volatile |
| 3 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 3 | Angola | 0 1000 t | 2023 | — | flat |
| 3 | Albania | 0 1000 t | 2023 | — | flat |
| 3 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 3 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Armenia | 0 1000 t | 2023 | — | flat |
| 3 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 3 | Australia | 0 1000 t | 2023 | — | volatile |
| 3 | Austria | 0 1000 t | 2023 | — | volatile |
| 3 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 3 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 3 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 3 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 3 | Bahrain | 0 1000 t | 2023 | — | flat |
| 3 | Bahamas | 0 1000 t | 2023 | — | flat |
| 3 | Bosnia and Herzegovina | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Belarus | 0 1000 t | 2023 | — | volatile |
| 3 | Belize | 0 1000 t | 2023 | — | flat |
| 3 | Barbados | 0 1000 t | 2023 | — | flat |
| 3 | Bhutan | 0 1000 t | 2023 | — | flat |
| 3 | Botswana | 0 1000 t | 2023 | — | flat |
| 3 | Switzerland | 0 1000 t | 2023 | — | flat |
| 3 | Chile | 0 1000 t | 2023 | — | flat |
| 3 | Cameroon | 0 1000 t | 2023 | — | flat |
| 3 | Congo | 0 1000 t | 2023 | — | volatile |
| 3 | Colombia | 0 1000 t | 2023 | — | flat |
| 3 | Comoros | 0 1000 t | 2023 | — | flat |
| 3 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 3 | Cuba | 0 1000 t | 2019 | — | flat |
| 3 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 3 | Djibouti | 0 1000 t | 2023 | — | flat |
| 3 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 3 | Algeria | 0 1000 t | 2023 | — | flat |
| 3 | Ecuador | 0 1000 t | 2023 | — | flat |
| 3 | Estonia | 0 1000 t | 2023 | — | flat |
| 3 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 3 | Finland | 0 1000 t | 2023 | — | volatile |
| 3 | Fiji | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Gabon | 0 1000 t | 2023 | — | flat |
| 3 | Georgia | 0 1000 t | 2023 | — | flat |
| 3 | Ghana | 0 1000 t | 2023 | — | flat |
| 3 | Guinea | 0 1000 t | 2023 | — | flat |
| 3 | Gambia | 0 1000 t | 2023 | — | flat |
| 3 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 3 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Grenada | 0 1000 t | 2023 | — | flat |
| 3 | Guyana | 0 1000 t | 2023 | — | flat |
| 3 | Honduras | 0 1000 t | 2023 | — | flat |
| 3 | Croatia | 0 1000 t | 2023 | — | volatile |
| 3 | Haiti | 0 1000 t | 2023 | — | flat |
| 3 | Indonesia | 0 1000 t | 2023 | — | flat |
| 3 | Iraq | 0 1000 t | 2023 | — | flat |
| 3 | Iceland | 0 1000 t | 2023 | — | flat |
| 3 | Israel | 0 1000 t | 2023 | — | flat |
| 3 | Italy | 0 1000 t | 2023 | — | volatile |
| 3 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 3 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 3 | Kenya | 0 1000 t | 2023 | — | flat |
| 3 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Cambodia | 0 1000 t | 2023 | — | flat |
| 3 | Kiribati | 0 1000 t | 2023 | — | flat |
| 3 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 3 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 3 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 3 | Liberia | 0 1000 t | 2023 | — | flat |
| 3 | Libya | 0 1000 t | 2023 | — | flat |
| 3 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 3 | Lesotho | 0 1000 t | 2023 | — | flat |
| 3 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 3 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 3 | Madagascar | 0 1000 t | 2023 | — | flat |
| 3 | Maldives | 0 1000 t | 2023 | — | volatile |
| 3 | Mexico | 0 1000 t | 2023 | — | volatile |
| 3 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 3 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 3 | Malta | 0 1000 t | 2023 | — | flat |
| 3 | Myanmar | 0 1000 t | 2023 | — | flat |
| 3 | Montenegro | 0 1000 t | 2023 | — | flat |
| 3 | Mongolia | 0 1000 t | 2023 | — | flat |
| 3 | Mozambique | 0 1000 t | 2023 | — | flat |
| 3 | Mauritania | 0 1000 t | 2023 | — | flat |
| 3 | Mauritius | 0 1000 t | 2023 | — | flat |
| 3 | Malawi | 0 1000 t | 2023 | — | flat |
| 3 | Malaysia | 0 1000 t | 2023 | — | flat |
| 3 | Namibia | 0 1000 t | 2023 | — | flat |
| 3 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 3 | Niger | 0 1000 t | 2023 | — | flat |
| 3 | Nigeria | 0 1000 t | 2023 | — | flat |
| 3 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 3 | Nepal | 0 1000 t | 2023 | — | flat |
| 3 | Nauru | 0 1000 t | 2023 | — | flat |
| 3 | New Zealand | 0 1000 t | 2023 | — | flat |
| 3 | Oman | 0 1000 t | 2023 | — | volatile |
| 3 | Pakistan | 0 1000 t | 2023 | — | flat |
| 3 | Panama | 0 1000 t | 2023 | — | flat |
| 3 | Philippines | 0 1000 t | 2023 | — | flat |
| 3 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 3 | Paraguay | 0 1000 t | 2023 | — | flat |
| 3 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 3 | Qatar | 0 1000 t | 2023 | — | flat |
| 3 | Rwanda | 0 1000 t | 2023 | — | flat |
| 3 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 3 | Senegal | 0 1000 t | 2023 | — | volatile |
| 3 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 3 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 3 | El Salvador | 0 1000 t | 2023 | — | flat |
| 3 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 3 | Suriname | 0 1000 t | 2023 | — | flat |
| 3 | Slovenia | 0 1000 t | 2023 | — | flat |
| 3 | Sweden | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 3 | Seychelles | 0 1000 t | 2023 | — | flat |
| 3 | Thailand | 0 1000 t | 2023 | — | flat |
| 3 | Tajikistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 3 | Tonga | 0 1000 t | 2023 | — | flat |
| 3 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 3 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 3 | Uganda | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Uruguay | 0 1000 t | 2023 | — | flat |
| 3 | Uzbekistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 3 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 3 | Samoa | 0 1000 t | 2023 | — | flat |
| 3 | Yemen | 0 1000 t | 2023 | — | volatile |
| 3 | Zambia | 0 1000 t | 2023 | — | volatile |
| 3 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 3 | Micronesia | 0 1000 t | 2023 | — | flat |
| 3 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 3 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 3 | Melanesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Polynesia | 0 1000 t | 2023 | — | flat |
| 3 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 3 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 3 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 3 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 3 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 3 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 3 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 3 | Russian Federation | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Syrian Arab Republic | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 3 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 3 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 3 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 3 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 3 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 3 | United Kingdom of Great Britain and Northern Ireland | 0 1000 t | 2023 | — | flat |
| 3 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 3 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 3 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
| 156 | Belgium | -1 1000 t | 2023 | — | volatile |
| 156 | Czechia | -1 1000 t | 2023 | — | volatile |
| 156 | Egypt | -1 1000 t | 2023 | — | volatile |
| 156 | Guatemala | -1 1000 t | 2023 | — | volatile |
| 156 | Hungary | -1 1000 t | 2023 | — | volatile |
| 156 | Ireland | -1 1000 t | 2023 | — | volatile |
| 156 | Sri Lanka | -1 1000 t | 2023 | — | volatile |
| 156 | Latvia | -1 1000 t | 2023 | unchanged | volatile |
| 156 | Norway | -1 1000 t | 2023 | unchanged | flat |
| 156 | Peru | -1 1000 t | 2023 | up 50.0% | volatile |
| 156 | Romania | -1 1000 t | 2023 | — | volatile |
| 156 | Serbia | -1 1000 t | 2023 | — | volatile |
| 156 | Slovakia | -1 1000 t | 2023 | unchanged | volatile |
| 169 | Canada | -2 1000 t | 2023 | down 100.0% | volatile |
| 169 | India | -2 1000 t | 2023 | up 60.0% | volatile |
| 171 | Brazil | -3 1000 t | 2023 | — | volatile |
| 171 | Germany | -3 1000 t | 2023 | down 200.0% | volatile |
| 173 | Denmark | -6 1000 t | 2023 | down 50.0% | volatile |
| 173 | Spain | -6 1000 t | 2023 | unchanged | volatile |
| 173 | Portugal | -6 1000 t | 2023 | down 100.0% | volatile |
| 173 | Türkiye | -6 1000 t | 2023 | — | volatile |
| 177 | Poland | -7 1000 t | 2023 | up 30.0% | volatile |
| 178 | France | -8 1000 t | 2023 | down 166.7% | falling |
| 179 | Ukraine | -13 1000 t | 2023 | down 107.3% | volatile |
| 180 | Morocco | -32 1000 t | 2023 | — | volatile |
| 181 | Jordan | -99 1000 t | 2023 | down 800.0% | volatile |
| 182 | Netherlands (Kingdom of the) | -130 1000 t | 2023 | down 664.7% | 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
- Oceania 0 1000 t
- Small Island Developing States (SIDS) 0 1000 t
- Least Developed Countries (LDCs) 0 1000 t
- Central Asia 0 1000 t
- Eastern Africa 0 1000 t
- Western Africa 0 1000 t
- Middle Africa 0 1000 t
- South-eastern Asia 0 1000 t
- Low Income Food Deficit Countries (LIFDCs) 0 1000 t
- Southern Africa -1 1000 t
- Land Locked Developing Countries (LLDCs) -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.