Eggs — Import quantity 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...
Countries reporting
167
Highest
658 1000 t
Germany
Lowest
0 1000 t
Micronesia (Federated States of)
Median
3 1000 t
Years covered
14
2010–2023
Data points
3,026
What the numbers show
Eggs — Import quantity is currently reported for 167 countries. The highest value is 658 1000 t in Germany; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 3 1000 t, and the mean is 23.99 1000 t.
Over the past decade 75 countries rose and 39 fell. The largest increase was in Chile (up 600.0%), and the largest decrease in Angola (down 100.0%).
Eggs — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 658 1000 t | 2023 | up 1.9% | falling |
| 2 | Belgium | 404 1000 t | 2023 | up 329.8% | volatile |
| 3 | Netherlands (Kingdom of the) | 324 1000 t | 2023 | up 26.6% | rising |
| 4 | China | 254 1000 t | 2023 | up 89.6% | rising |
| 5 | China, Hong Kong SAR | 218 1000 t | 2023 | up 81.7% | rising |
| 6 | United Kingdom | 130 1000 t | 2023 | up 3.2% | flat |
| 6 | United Kingdom of Great Britain and Northern Ireland | 130 1000 t | 2023 | up 3.2% | flat |
| 8 | France | 129 1000 t | 2023 | up 19.4% | rising |
| 9 | United Arab Emirates | 113 1000 t | 2023 | up 52.7% | rising |
| 10 | Italy | 110 1000 t | 2023 | down 8.3% | rising |
| 11 | Spain | 81 1000 t | 2023 | up 15.7% | rising |
| 12 | Canada | 66 1000 t | 2023 | up 34.7% | rising |
| 13 | Saudi Arabia | 65 1000 t | 2023 | up 109.7% | volatile |
| 14 | Switzerland | 58 1000 t | 2023 | down 1.7% | falling |
| 15 | Mexico | 57 1000 t | 2023 | down 42.4% | rising |
| 16 | Czechia | 55 1000 t | 2023 | up 61.8% | rising |
| 17 | Poland | 53 1000 t | 2023 | up 65.6% | rising |
| 18 | Iraq | 51 1000 t | 2023 | down 82.7% | volatile |
| 19 | Denmark | 49 1000 t | 2023 | up 75.0% | rising |
| 20 | Austria | 42 1000 t | 2023 | down 2.3% | flat |
| 21 | Portugal | 36 1000 t | 2023 | up 50.0% | rising |
| 22 | Ireland | 35 1000 t | 2023 | up 66.7% | rising |
| 23 | Qatar | 34 1000 t | 2023 | — | falling |
| 24 | Hungary | 33 1000 t | 2023 | up 106.2% | rising |
| 24 | Latvia | 33 1000 t | 2023 | up 200.0% | volatile |
| 26 | Oman | 31 1000 t | 2023 | up 6.9% | rising |
| 26 | Caribbean | 31 1000 t | 2023 | up 63.2% | rising |
| 28 | Russia | 29 1000 t | 2023 | down 59.7% | rising |
| 28 | Russian Federation | 29 1000 t | 2023 | down 59.7% | rising |
| 30 | Greece | 28 1000 t | 2023 | up 3.7% | rising |
| 30 | Sweden | 28 1000 t | 2023 | up 33.3% | rising |
| 32 | Slovakia | 26 1000 t | 2023 | down 39.5% | rising |
| 33 | United States | 22 1000 t | 2023 | up 69.2% | volatile |
| 34 | Romania | 21 1000 t | 2023 | up 16.7% | rising |
| 35 | Kazakhstan | 20 1000 t | 2023 | up 233.3% | volatile |
| 35 | Lithuania | 20 1000 t | 2023 | up 122.2% | rising |
| 37 | Luxembourg | 18 1000 t | 2023 | up 125.0% | rising |
| 37 | Serbia | 18 1000 t | 2023 | up 500.0% | volatile |
| 37 | China, Taiwan Province of | 18 1000 t | 2023 | up 260.0% | rising |
| 40 | China, Macao SAR | 17 1000 t | 2023 | up 88.9% | rising |
| 41 | Maldives | 16 1000 t | 2023 | up 128.6% | rising |
| 41 | Republic of Korea | 16 1000 t | 2023 | up 100.0% | volatile |
| 43 | Bahrain | 15 1000 t | 2023 | — | flat |
| 44 | Chile | 14 1000 t | 2023 | up 600.0% | volatile |
| 45 | Kyrgyzstan | 13 1000 t | 2023 | up 333.3% | volatile |
| 45 | Syria | 13 1000 t | 2023 | up 85.7% | volatile |
| 45 | Syrian Arab Republic | 13 1000 t | 2023 | up 85.7% | volatile |
| 45 | Australia and New Zealand | 13 1000 t | 2023 | up 160.0% | rising |
| 49 | Bulgaria | 12 1000 t | 2023 | unchanged | rising |
| 49 | Mongolia | 12 1000 t | 2023 | up 100.0% | rising |
| 51 | Estonia | 10 1000 t | 2023 | unchanged | rising |
| 51 | Croatia | 10 1000 t | 2023 | up 233.3% | rising |
| 51 | Trinidad and Tobago | 10 1000 t | 2023 | up 42.9% | rising |
| 54 | Australia | 9 1000 t | 2023 | up 125.0% | rising |
| 54 | Indonesia | 9 1000 t | 2023 | up 28.6% | rising |
| 54 | Israel | 9 1000 t | 2023 | up 12.5% | rising |
| 54 | Sri Lanka | 9 1000 t | 2023 | — | volatile |
| 58 | Afghanistan | 8 1000 t | 2023 | down 72.4% | volatile |
| 58 | Libya | 8 1000 t | 2023 | up 33.3% | falling |
| 60 | Jamaica | 7 1000 t | 2023 | up 133.3% | rising |
| 60 | Kuwait | 7 1000 t | 2023 | up 133.3% | volatile |
| 60 | North Macedonia | 7 1000 t | 2023 | up 75.0% | rising |
| 60 | Thailand | 7 1000 t | 2023 | up 40.0% | rising |
| 64 | Bahamas | 6 1000 t | 2023 | up 200.0% | rising |
| 64 | Senegal | 6 1000 t | 2023 | up 500.0% | volatile |
| 64 | Slovenia | 6 1000 t | 2023 | up 20.0% | rising |
| 64 | South Africa | 6 1000 t | 2023 | up 500.0% | volatile |
| 64 | Iran (Islamic Republic of) | 6 1000 t | 2023 | up 200.0% | volatile |
| 69 | Cote d'Ivoire | 5 1000 t | 2023 | — | volatile |
| 69 | Cyprus | 5 1000 t | 2023 | up 150.0% | rising |
| 69 | Gambia | 5 1000 t | 2023 | up 150.0% | volatile |
| 69 | Tajikistan | 5 1000 t | 2023 | up 400.0% | volatile |
| 69 | Vietnam | 5 1000 t | 2023 | — | volatile |
| 69 | Yemen | 5 1000 t | 2023 | — | volatile |
| 69 | Viet Nam | 5 1000 t | 2023 | — | volatile |
| 69 | Côte d'Ivoire | 5 1000 t | 2023 | — | volatile |
| 77 | Georgia | 4 1000 t | 2023 | up 100.0% | volatile |
| 77 | Malaysia | 4 1000 t | 2023 | up 300.0% | volatile |
| 77 | New Zealand | 4 1000 t | 2023 | up 300.0% | rising |
| 77 | Philippines | 4 1000 t | 2023 | up 33.3% | rising |
| 77 | El Salvador | 4 1000 t | 2023 | up 300.0% | rising |
| 77 | Turkmenistan | 4 1000 t | 2023 | up 100.0% | volatile |
| 77 | Uruguay | 4 1000 t | 2023 | up 100.0% | rising |
| 84 | Costa Rica | 3 1000 t | 2023 | down 40.0% | rising |
| 84 | Cuba | 3 1000 t | 2019 | up 50.0% | rising |
| 84 | Finland | 3 1000 t | 2023 | up 200.0% | rising |
| 84 | Liberia | 3 1000 t | 2023 | down 50.0% | flat |
| 84 | Mozambique | 3 1000 t | 2023 | down 50.0% | volatile |
| 84 | Sierra Leone | 3 1000 t | 2023 | unchanged | rising |
| 84 | East Timor | 3 1000 t | 2023 | up 200.0% | volatile |
| 84 | Turkey | 3 1000 t | 2023 | unchanged | rising |
| 84 | Timor-Leste | 3 1000 t | 2023 | up 200.0% | volatile |
| 84 | Türkiye | 3 1000 t | 2023 | unchanged | rising |
| 94 | Azerbaijan | 2 1000 t | 2023 | down 66.7% | volatile |
| 94 | Bosnia and Herzegovina | 2 1000 t | 2023 | up 100.0% | rising |
| 94 | Colombia | 2 1000 t | 2023 | up 100.0% | rising |
| 94 | Djibouti | 2 1000 t | 2023 | up 100.0% | volatile |
| 94 | Guatemala | 2 1000 t | 2023 | up 100.0% | volatile |
| 94 | Honduras | 2 1000 t | 2023 | — | volatile |
| 94 | Jordan | 2 1000 t | 2023 | down 90.5% | volatile |
| 94 | Morocco | 2 1000 t | 2023 | up 100.0% | rising |
| 94 | Malta | 2 1000 t | 2023 | up 100.0% | rising |
| 94 | Nigeria | 2 1000 t | 2023 | — | volatile |
| 94 | Nicaragua | 2 1000 t | 2023 | down 60.0% | falling |
| 94 | Panama | 2 1000 t | 2023 | — | volatile |
| 94 | Peru | 2 1000 t | 2023 | — | volatile |
| 94 | Paraguay | 2 1000 t | 2023 | up 100.0% | rising |
| 94 | Micronesia | 2 1000 t | 2023 | — | volatile |
| 94 | Melanesia | 2 1000 t | 2023 | unchanged | flat |
| 94 | Venezuela (Bolivarian Republic of) | 2 1000 t | 2023 | unchanged | volatile |
| 111 | Armenia | 1 1000 t | 2023 | unchanged | volatile |
| 111 | Belarus | 1 1000 t | 2023 | down 66.7% | falling |
| 111 | Barbados | 1 1000 t | 2023 | unchanged | falling |
| 111 | Botswana | 1 1000 t | 2023 | — | volatile |
| 111 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 111 | Algeria | 1 1000 t | 2023 | — | rising |
| 111 | Ecuador | 1 1000 t | 2023 | down 80.0% | volatile |
| 111 | Egypt | 1 1000 t | 2023 | down 87.5% | volatile |
| 111 | Guinea-Bissau | 1 1000 t | 2023 | unchanged | falling |
| 111 | Guyana | 1 1000 t | 2023 | down 50.0% | falling |
| 111 | Iceland | 1 1000 t | 2023 | unchanged | volatile |
| 111 | Lebanon | 1 1000 t | 2023 | — | volatile |
| 111 | Marshall Islands | 1 1000 t | 2023 | — | volatile |
| 111 | Montenegro | 1 1000 t | 2023 | down 66.7% | falling |
| 111 | Mauritania | 1 1000 t | 2023 | down 75.0% | volatile |
| 111 | Norway | 1 1000 t | 2023 | unchanged | falling |
| 111 | French Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 111 | Eswatini | 1 1000 t | 2023 | unchanged | rising |
| 111 | Tunisia | 1 1000 t | 2023 | down 75.0% | falling |
| 111 | Uganda | 1 1000 t | 2023 | — | volatile |
| 111 | Uzbekistan | 1 1000 t | 2023 | unchanged | volatile |
| 111 | Vanuatu | 1 1000 t | 2023 | — | volatile |
| 111 | Zimbabwe | 1 1000 t | 2023 | unchanged | volatile |
| 111 | Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 135 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Albania | 0 1000 t | 2023 | — | volatile |
| 135 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Brazil | 0 1000 t | 2023 | — | volatile |
| 135 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 135 | Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Comoros | 0 1000 t | 2023 | — | volatile |
| 135 | Ghana | 0 1000 t | 2023 | — | volatile |
| 135 | Guinea | 0 1000 t | 2023 | — | volatile |
| 135 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Kenya | 0 1000 t | 2023 | — | volatile |
| 135 | Laos | 0 1000 t | 2023 | — | volatile |
| 135 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 135 | Lesotho | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 135 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Pakistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 135 | Suriname | 0 1000 t | 2023 | — | volatile |
| 135 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Samoa | 0 1000 t | 2023 | — | volatile |
| 135 | Cabo Verde | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Republic of Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 135 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 135 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 135 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 3,611 1000 t
- Europe 2,475 1000 t
- European Union (27) 2,230 1000 t
- Western Europe 1,633 1000 t
- Asia 833 1000 t
- Western Asia 370 1000 t
- Eastern Asia 347 1000 t
- Northern Europe 310 1000 t
- Southern Europe 301 1000 t
- Eastern Europe 231 1000 t
- Americas 221 1000 t
- Net Food Importing Developing Countries (NFIDCs) 135 1000 t
- Northern America 88 1000 t
- Land Locked Developing Countries (LLDCs) 83 1000 t
- Low Income Food Deficit Countries (LIFDCs) 81 1000 t
- Central America 73 1000 t
- Africa 64 1000 t
- Small island developing States (SIDS) 57 1000 t
- Least Developed Countries (LDCs) 51 1000 t
- Central Asia 43 1000 t
- Southern Asia 40 1000 t
- South-Eastern Asia 33 1000 t
- South America 30 1000 t
- Western Africa 28 1000 t
- United States of America 22 1000 t
- Oceania 17 1000 t
- Eastern Africa 13 1000 t
- Northern Africa 12 1000 t
- Southern Africa 8 1000 t
- Middle Africa 2 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.