Eggs — Losses 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
180
Highest
1,913 1000 t
China
Lowest
0 1000 t
China, Macao SAR
Median
2 1000 t
Years covered
14
2010–2023
Data points
2,849
What the numbers show
Eggs — Losses is currently reported for 180 countries. The highest value is 1,913 1000 t in China; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 2 1000 t, and the mean is 36.68 1000 t.
Over the past decade 63 countries rose and 29 fell. The largest increase was in Cameroon (up 700.0%), and the largest decrease in Congo (down 100.0%).
Eggs — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 1,913 1000 t | 2023 | up 23.7% | rising |
| 2 | China, mainland | 1,878 1000 t | 2023 | up 24.1% | rising |
| 3 | India | 637 1000 t | 2023 | up 84.6% | rising |
| 4 | Mexico | 284 1000 t | 2023 | up 25.7% | rising |
| 5 | Indonesia | 181 1000 t | 2023 | up 17.5% | rising |
| 6 | Pakistan | 102 1000 t | 2023 | up 70.0% | rising |
| 7 | Brazil | 101 1000 t | 2023 | up 34.7% | rising |
| 8 | Colombia | 91 1000 t | 2023 | up 51.7% | rising |
| 9 | Thailand | 85 1000 t | 2023 | up 3.7% | rising |
| 10 | Bangladesh | 72 1000 t | 2023 | up 118.2% | rising |
| 10 | Republic of Korea | 72 1000 t | 2023 | up 26.3% | rising |
| 12 | Peru | 71 1000 t | 2023 | up 44.9% | rising |
| 13 | Egypt | 63 1000 t | 2023 | up 231.6% | volatile |
| 14 | Türkiye | 61 1000 t | 2023 | up 24.5% | rising |
| 15 | Nigeria | 59 1000 t | 2023 | up 1.7% | flat |
| 16 | Argentina | 49 1000 t | 2023 | down 3.9% | falling |
| 17 | Malaysia | 45 1000 t | 2023 | up 40.6% | rising |
| 18 | Viet Nam | 42 1000 t | 2023 | up 20.0% | rising |
| 19 | China, Taiwan Province of | 35 1000 t | 2023 | up 6.1% | rising |
| 20 | Caribbean | 31 1000 t | 2023 | up 47.6% | rising |
| 21 | Kazakhstan | 29 1000 t | 2023 | up 3.6% | rising |
| 22 | Morocco | 28 1000 t | 2023 | up 16.7% | rising |
| 23 | Philippines | 25 1000 t | 2023 | up 66.7% | rising |
| 24 | Dominican Republic | 23 1000 t | 2023 | up 187.5% | rising |
| 24 | Guatemala | 23 1000 t | 2023 | up 360.0% | volatile |
| 26 | Uzbekistan | 21 1000 t | 2023 | down 8.7% | rising |
| 27 | Chile | 20 1000 t | 2023 | up 5.3% | rising |
| 27 | Kenya | 20 1000 t | 2023 | up 66.7% | rising |
| 29 | Saudi Arabia | 19 1000 t | 2023 | up 58.3% | rising |
| 30 | Belarus | 18 1000 t | 2023 | down 5.3% | falling |
| 30 | Spain | 18 1000 t | 2023 | up 20.0% | rising |
| 32 | Iran (Islamic Republic of) | 16 1000 t | 2023 | down 74.6% | volatile |
| 32 | United Republic of Tanzania | 16 1000 t | 2023 | up 100.0% | rising |
| 34 | Ecuador | 15 1000 t | 2023 | down 6.2% | rising |
| 34 | Israel | 15 1000 t | 2023 | up 36.4% | rising |
| 36 | Burkina Faso | 14 1000 t | 2023 | up 16.7% | rising |
| 36 | Algeria | 14 1000 t | 2023 | down 12.5% | flat |
| 38 | Belgium | 13 1000 t | 2023 | up 160.0% | rising |
| 39 | Angola | 12 1000 t | 2023 | up 500.0% | volatile |
| 39 | Austria | 12 1000 t | 2023 | up 20.0% | rising |
| 39 | Azerbaijan | 12 1000 t | 2023 | up 50.0% | rising |
| 39 | Canada | 12 1000 t | 2023 | up 33.3% | rising |
| 39 | Democratic People's Republic of Korea | 12 1000 t | 2018 | up 20.0% | rising |
| 44 | Germany | 10 1000 t | 2023 | up 42.9% | rising |
| 44 | Bolivia (Plurinational State of) | 10 1000 t | 2023 | up 66.7% | rising |
| 44 | Venezuela (Bolivarian Republic of) | 10 1000 t | 2023 | down 47.4% | falling |
| 47 | Sri Lanka | 9 1000 t | 2023 | down 10.0% | rising |
| 47 | Romania | 9 1000 t | 2023 | down 10.0% | falling |
| 47 | Syrian Arab Republic | 9 1000 t | 2023 | down 18.2% | falling |
| 50 | Cameroon | 8 1000 t | 2023 | up 700.0% | volatile |
| 50 | France | 8 1000 t | 2023 | down 11.1% | rising |
| 50 | Tunisia | 8 1000 t | 2023 | down 11.1% | falling |
| 50 | United Kingdom of Great Britain and Northern Ireland | 8 1000 t | 2023 | up 60.0% | rising |
| 54 | Kuwait | 7 1000 t | 2023 | up 40.0% | rising |
| 54 | Libya | 7 1000 t | 2023 | up 16.7% | flat |
| 54 | Myanmar | 7 1000 t | 2023 | down 72.0% | falling |
| 54 | Yemen | 7 1000 t | 2023 | up 16.7% | rising |
| 54 | Russian Federation | 7 1000 t | 2023 | up 40.0% | rising |
| 59 | Albania | 6 1000 t | 2023 | down 14.3% | rising |
| 59 | Bulgaria | 6 1000 t | 2023 | down 14.3% | falling |
| 59 | Switzerland | 6 1000 t | 2023 | up 200.0% | rising |
| 59 | Cuba | 6 1000 t | 2019 | down 40.0% | falling |
| 59 | Ireland | 6 1000 t | 2023 | up 20.0% | rising |
| 59 | Jordan | 6 1000 t | 2023 | up 100.0% | rising |
| 59 | Latvia | 6 1000 t | 2023 | up 50.0% | rising |
| 59 | Tajikistan | 6 1000 t | 2023 | up 200.0% | volatile |
| 59 | Zambia | 6 1000 t | 2023 | up 20.0% | rising |
| 59 | Côte d'Ivoire | 6 1000 t | 2023 | up 50.0% | rising |
| 69 | Kyrgyzstan | 5 1000 t | 2023 | up 150.0% | rising |
| 69 | Senegal | 5 1000 t | 2023 | up 150.0% | rising |
| 69 | Turkmenistan | 5 1000 t | 2023 | unchanged | flat |
| 69 | Australia and New Zealand | 5 1000 t | 2023 | unchanged | rising |
| 73 | Ethiopia | 4 1000 t | 2023 | unchanged | flat |
| 73 | Ghana | 4 1000 t | 2023 | unchanged | rising |
| 73 | Croatia | 4 1000 t | 2023 | up 33.3% | rising |
| 73 | Lebanon | 4 1000 t | 2023 | up 100.0% | rising |
| 73 | Nepal | 4 1000 t | 2023 | up 100.0% | rising |
| 73 | Uganda | 4 1000 t | 2023 | unchanged | flat |
| 73 | Ukraine | 4 1000 t | 2023 | up 100.0% | rising |
| 80 | Afghanistan | 3 1000 t | 2023 | down 40.0% | volatile |
| 80 | United Arab Emirates | 3 1000 t | 2023 | down 25.0% | falling |
| 80 | Guinea | 3 1000 t | 2023 | up 50.0% | rising |
| 80 | Cambodia | 3 1000 t | 2023 | unchanged | falling |
| 80 | Madagascar | 3 1000 t | 2023 | unchanged | flat |
| 80 | Oman | 3 1000 t | 2023 | up 200.0% | rising |
| 80 | Portugal | 3 1000 t | 2023 | unchanged | flat |
| 80 | Paraguay | 3 1000 t | 2023 | unchanged | flat |
| 80 | Uruguay | 3 1000 t | 2023 | down 40.0% | falling |
| 80 | Zimbabwe | 3 1000 t | 2023 | unchanged | falling |
| 90 | Australia | 2 1000 t | 2023 | unchanged | rising |
| 90 | Bahrain | 2 1000 t | 2023 | — | flat |
| 90 | Bosnia and Herzegovina | 2 1000 t | 2023 | unchanged | flat |
| 90 | Costa Rica | 2 1000 t | 2023 | up 100.0% | rising |
| 90 | Czechia | 2 1000 t | 2023 | down 33.3% | falling |
| 90 | Fiji | 2 1000 t | 2023 | up 100.0% | volatile |
| 90 | Greece | 2 1000 t | 2023 | unchanged | flat |
| 90 | Hungary | 2 1000 t | 2023 | unchanged | flat |
| 90 | Italy | 2 1000 t | 2023 | unchanged | flat |
| 90 | Malawi | 2 1000 t | 2023 | unchanged | flat |
| 90 | Niger | 2 1000 t | 2023 | unchanged | flat |
| 90 | New Zealand | 2 1000 t | 2023 | unchanged | rising |
| 90 | Panama | 2 1000 t | 2023 | unchanged | rising |
| 90 | Poland | 2 1000 t | 2023 | up 100.0% | rising |
| 90 | Sierra Leone | 2 1000 t | 2023 | unchanged | rising |
| 90 | El Salvador | 2 1000 t | 2023 | unchanged | flat |
| 90 | Slovenia | 2 1000 t | 2023 | unchanged | flat |
| 90 | Sweden | 2 1000 t | 2023 | down 33.3% | rising |
| 90 | Melanesia | 2 1000 t | 2023 | unchanged | falling |
| 90 | Lao People's Democratic Republic | 2 1000 t | 2023 | unchanged | rising |
| 90 | Netherlands (Kingdom of the) | 2 1000 t | 2023 | unchanged | flat |
| 111 | Armenia | 1 1000 t | 2023 | unchanged | flat |
| 111 | Cyprus | 1 1000 t | 2023 | unchanged | flat |
| 111 | Denmark | 1 1000 t | 2023 | unchanged | flat |
| 111 | Estonia | 1 1000 t | 2023 | unchanged | flat |
| 111 | Finland | 1 1000 t | 2023 | unchanged | flat |
| 111 | Georgia | 1 1000 t | 2023 | unchanged | flat |
| 111 | Honduras | 1 1000 t | 2023 | unchanged | flat |
| 111 | Iraq | 1 1000 t | 2023 | down 80.0% | falling |
| 111 | Jamaica | 1 1000 t | 2023 | unchanged | flat |
| 111 | Liberia | 1 1000 t | 2023 | unchanged | falling |
| 111 | North Macedonia | 1 1000 t | 2023 | unchanged | flat |
| 111 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 111 | Mongolia | 1 1000 t | 2023 | — | volatile |
| 111 | Mozambique | 1 1000 t | 2023 | down 75.0% | falling |
| 111 | Nicaragua | 1 1000 t | 2023 | unchanged | flat |
| 111 | Norway | 1 1000 t | 2023 | unchanged | flat |
| 111 | Qatar | 1 1000 t | 2023 | — | falling |
| 111 | Rwanda | 1 1000 t | 2023 | — | volatile |
| 111 | Slovakia | 1 1000 t | 2023 | down 50.0% | falling |
| 111 | Democratic Republic of the Congo | 1 1000 t | 2023 | down 50.0% | falling |
| 131 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 131 | Bahamas | 0 1000 t | 2023 | — | flat |
| 131 | Belize | 0 1000 t | 2023 | — | flat |
| 131 | Barbados | 0 1000 t | 2023 | — | flat |
| 131 | Bhutan | 0 1000 t | 2023 | — | flat |
| 131 | Botswana | 0 1000 t | 2023 | — | flat |
| 131 | Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 131 | Comoros | 0 1000 t | 2023 | — | flat |
| 131 | Gabon | 0 1000 t | 2023 | — | flat |
| 131 | Gambia | 0 1000 t | 2023 | — | flat |
| 131 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 131 | Grenada | 0 1000 t | 2023 | — | flat |
| 131 | Guyana | 0 1000 t | 2023 | — | flat |
| 131 | Haiti | 0 1000 t | 2023 | — | volatile |
| 131 | Iceland | 0 1000 t | 2023 | — | flat |
| 131 | Kiribati | 0 1000 t | 2023 | — | flat |
| 131 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 131 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 131 | Lesotho | 0 1000 t | 2023 | — | flat |
| 131 | Lithuania | 0 1000 t | 2023 | — | flat |
| 131 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 131 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 131 | Malta | 0 1000 t | 2023 | — | flat |
| 131 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 131 | Mauritius | 0 1000 t | 2023 | — | flat |
| 131 | Namibia | 0 1000 t | 2023 | — | flat |
| 131 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 131 | Nauru | 0 1000 t | 2023 | — | flat |
| 131 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 131 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 131 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 131 | Serbia | 0 1000 t | 2023 | — | volatile |
| 131 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 131 | Suriname | 0 1000 t | 2023 | — | flat |
| 131 | Eswatini | 0 1000 t | 2023 | — | flat |
| 131 | Seychelles | 0 1000 t | 2023 | — | flat |
| 131 | Tonga | 0 1000 t | 2023 | — | flat |
| 131 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 131 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 131 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 131 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 131 | Samoa | 0 1000 t | 2023 | — | flat |
| 131 | Micronesia | 0 1000 t | 2023 | — | flat |
| 131 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 131 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 131 | Polynesia | 0 1000 t | 2023 | — | flat |
| 131 | China, Hong Kong SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 131 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 131 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 131 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 4,903 1000 t
- Asia 3,502 1000 t
- Eastern Asia 2,048 1000 t
- Americas 863 1000 t
- Southern Asia 844 1000 t
- Net Food Importing Developing Countries (NFIDCs) 555 1000 t
- South-eastern Asia 389 1000 t
- South America 374 1000 t
- Africa 363 1000 t
- Central America 314 1000 t
- Least Developed Countries (LDCs) 194 1000 t
- Low Income Food Deficit Countries (LIFDCs) 176 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.