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 82 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 -4.23 1000 t.
Over the past decade 13 countries rose and 16 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 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 3 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 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 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 3 | Bosnia and Herzegovina | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Belarus | 0 1000 t | 2023 | — | volatile |
| 3 | Congo | 0 1000 t | 2023 | — | volatile |
| 3 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 3 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 3 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 3 | Finland | 0 1000 t | 2023 | — | volatile |
| 3 | Fiji | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Croatia | 0 1000 t | 2023 | — | volatile |
| 3 | Italy | 0 1000 t | 2023 | — | volatile |
| 3 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 3 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 3 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 3 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 3 | Lithuania | 0 1000 t | 2023 | — | volatile |
| 3 | Maldives | 0 1000 t | 2023 | — | volatile |
| 3 | Mexico | 0 1000 t | 2023 | — | volatile |
| 3 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 3 | Oman | 0 1000 t | 2023 | — | volatile |
| 3 | Russia | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 3 | Senegal | 0 1000 t | 2023 | — | volatile |
| 3 | Sweden | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Eswatini | 0 1000 t | 2023 | — | volatile |
| 3 | Syria | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Tajikistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Uganda | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Uzbekistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Vietnam | 0 1000 t | 2023 | — | volatile |
| 3 | Yemen | 0 1000 t | 2023 | — | volatile |
| 3 | South Africa | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Zambia | 0 1000 t | 2023 | — | volatile |
| 3 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 3 | Melanesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 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 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
| 166 | Belgium | -1 1000 t | 2023 | — | volatile |
| 166 | Czechia | -1 1000 t | 2023 | — | volatile |
| 166 | Egypt | -1 1000 t | 2023 | — | volatile |
| 166 | Guatemala | -1 1000 t | 2023 | — | volatile |
| 166 | Hungary | -1 1000 t | 2023 | — | volatile |
| 166 | Ireland | -1 1000 t | 2023 | — | volatile |
| 166 | Sri Lanka | -1 1000 t | 2023 | — | volatile |
| 166 | Latvia | -1 1000 t | 2023 | unchanged | volatile |
| 166 | Norway | -1 1000 t | 2023 | unchanged | flat |
| 166 | Peru | -1 1000 t | 2023 | up 50.0% | volatile |
| 166 | Romania | -1 1000 t | 2023 | — | volatile |
| 166 | Serbia | -1 1000 t | 2023 | — | volatile |
| 166 | Slovakia | -1 1000 t | 2023 | unchanged | volatile |
| 179 | Canada | -2 1000 t | 2023 | down 100.0% | volatile |
| 179 | India | -2 1000 t | 2023 | up 60.0% | volatile |
| 181 | Brazil | -3 1000 t | 2023 | — | volatile |
| 181 | Germany | -3 1000 t | 2023 | down 200.0% | volatile |
| 183 | Denmark | -6 1000 t | 2023 | down 50.0% | volatile |
| 183 | Spain | -6 1000 t | 2023 | unchanged | volatile |
| 183 | Portugal | -6 1000 t | 2023 | down 100.0% | volatile |
| 183 | Turkey | -6 1000 t | 2023 | — | volatile |
| 183 | Türkiye | -6 1000 t | 2023 | — | volatile |
| 188 | Poland | -7 1000 t | 2023 | up 30.0% | volatile |
| 188 | United States | -7 1000 t | 2023 | up 76.7% | volatile |
| 190 | France | -8 1000 t | 2023 | down 166.7% | falling |
| 191 | Ukraine | -13 1000 t | 2023 | down 107.3% | volatile |
| 192 | Morocco | -32 1000 t | 2023 | — | volatile |
| 193 | Jordan | -99 1000 t | 2023 | down 800.0% | volatile |
| 194 | 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.
- 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
- Central America -2 1000 t
- Southern Asia -3 1000 t
- South America -5 1000 t
- United States of America -7 1000 t
- Northern America -8 1000 t
- Northern Europe -9 1000 t
- Eastern Asia -9 1000 t
- Southern Europe -13 1000 t
- Americas -15 1000 t
- Eastern Europe -23 1000 t
- Northern Africa -33 1000 t
- Africa -34 1000 t
- Western Asia -105 1000 t
- Asia -117 1000 t
- Net Food Importing Developing Countries (NFIDCs) -134 1000 t
- Western Europe -141 1000 t
- European Union (27) -172 1000 t
- Europe -187 1000 t
- World -353 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.