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
145
Highest
1,913 1000 t
China
Lowest
0 1000 t
China, Hong Kong SAR
Median
6 1000 t
Years covered
14
2010–2023
Data points
2,994

What the numbers show

Eggs — Losses is currently reported for 145 countries. The highest value is 1,913 1000 t in China; the lowest is 0 1000 t in China, Hong Kong SAR.

The median across all reporting countries is 6 1000 t, and the mean is 47.67 1000 t.

Over the past decade 70 countries rose and 30 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 LatestYear 10-year changeTrend
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 United States 131 1000 t 2023 up 12.0% rising
7 Pakistan 102 1000 t 2023 up 70.0% rising
8 Brazil 101 1000 t 2023 up 34.7% rising
9 Colombia 91 1000 t 2023 up 51.7% rising
10 Thailand 85 1000 t 2023 up 3.7% rising
11 Bangladesh 72 1000 t 2023 up 118.2% rising
11 Republic of Korea 72 1000 t 2023 up 26.3% rising
13 Peru 71 1000 t 2023 up 44.9% rising
14 Egypt 63 1000 t 2023 up 231.6% volatile
15 Turkey 61 1000 t 2023 up 24.5% rising
15 Türkiye 61 1000 t 2023 up 24.5% rising
17 Nigeria 59 1000 t 2023 up 1.7% flat
18 Argentina 49 1000 t 2023 down 3.9% falling
19 Malaysia 45 1000 t 2023 up 40.6% rising
20 South Africa 43 1000 t 2023 up 2.4% rising
21 Vietnam 42 1000 t 2023 up 20.0% rising
21 Viet Nam 42 1000 t 2023 up 20.0% rising
23 China, Taiwan Province of 35 1000 t 2023 up 6.1% rising
24 Caribbean 31 1000 t 2023 up 47.6% rising
25 Kazakhstan 29 1000 t 2023 up 3.6% rising
26 Morocco 28 1000 t 2023 up 16.7% rising
27 Philippines 25 1000 t 2023 up 66.7% rising
28 Dominican Republic 23 1000 t 2023 up 187.5% rising
28 Guatemala 23 1000 t 2023 up 360.0% volatile
30 Uzbekistan 21 1000 t 2023 down 8.7% rising
31 Chile 20 1000 t 2023 up 5.3% rising
31 Kenya 20 1000 t 2023 up 66.7% rising
33 Saudi Arabia 19 1000 t 2023 up 58.3% rising
34 Belarus 18 1000 t 2023 down 5.3% falling
34 Spain 18 1000 t 2023 up 20.0% rising
36 Iran (Islamic Republic of) 16 1000 t 2023 down 74.6% volatile
36 United Republic of Tanzania 16 1000 t 2023 up 100.0% rising
38 Ecuador 15 1000 t 2023 down 6.2% rising
38 Israel 15 1000 t 2023 up 36.4% rising
40 Burkina Faso 14 1000 t 2023 up 16.7% rising
40 Algeria 14 1000 t 2023 down 12.5% flat
42 Belgium 13 1000 t 2023 up 160.0% rising
43 Angola 12 1000 t 2023 up 500.0% volatile
43 Austria 12 1000 t 2023 up 20.0% rising
43 Azerbaijan 12 1000 t 2023 up 50.0% rising
43 Canada 12 1000 t 2023 up 33.3% rising
43 Democratic People's Republic of Korea 12 1000 t 2018 up 20.0% rising
48 Germany 10 1000 t 2023 up 42.9% rising
48 Bolivia (Plurinational State of) 10 1000 t 2023 up 66.7% rising
48 Venezuela (Bolivarian Republic of) 10 1000 t 2023 down 47.4% falling
51 Sri Lanka 9 1000 t 2023 down 10.0% rising
51 Romania 9 1000 t 2023 down 10.0% falling
51 Syria 9 1000 t 2023 down 18.2% falling
51 Syrian Arab Republic 9 1000 t 2023 down 18.2% falling
55 Cameroon 8 1000 t 2023 up 700.0% volatile
55 France 8 1000 t 2023 down 11.1% rising
55 United Kingdom 8 1000 t 2023 up 60.0% rising
55 Tunisia 8 1000 t 2023 down 11.1% falling
55 United Kingdom of Great Britain and Northern Ireland 8 1000 t 2023 up 60.0% rising
60 Kuwait 7 1000 t 2023 up 40.0% rising
60 Libya 7 1000 t 2023 up 16.7% flat
60 Myanmar 7 1000 t 2023 down 72.0% falling
60 Russia 7 1000 t 2023 up 40.0% rising
60 Yemen 7 1000 t 2023 up 16.7% rising
60 Russian Federation 7 1000 t 2023 up 40.0% rising
66 Albania 6 1000 t 2023 down 14.3% rising
66 Bulgaria 6 1000 t 2023 down 14.3% falling
66 Switzerland 6 1000 t 2023 up 200.0% rising
66 Cote d'Ivoire 6 1000 t 2023 up 50.0% rising
66 Cuba 6 1000 t 2019 down 40.0% falling
66 Ireland 6 1000 t 2023 up 20.0% rising
66 Jordan 6 1000 t 2023 up 100.0% rising
66 Latvia 6 1000 t 2023 up 50.0% rising
66 Tajikistan 6 1000 t 2023 up 200.0% volatile
66 Zambia 6 1000 t 2023 up 20.0% rising
66 Côte d'Ivoire 6 1000 t 2023 up 50.0% rising
77 Kyrgyzstan 5 1000 t 2023 up 150.0% rising
77 Senegal 5 1000 t 2023 up 150.0% rising
77 Turkmenistan 5 1000 t 2023 unchanged flat
77 Australia and New Zealand 5 1000 t 2023 unchanged rising
81 Ethiopia 4 1000 t 2023 unchanged flat
81 Ghana 4 1000 t 2023 unchanged rising
81 Croatia 4 1000 t 2023 up 33.3% rising
81 Lebanon 4 1000 t 2023 up 100.0% rising
81 Nepal 4 1000 t 2023 up 100.0% rising
81 Uganda 4 1000 t 2023 unchanged flat
81 Ukraine 4 1000 t 2023 up 100.0% rising
88 Afghanistan 3 1000 t 2023 down 40.0% volatile
88 United Arab Emirates 3 1000 t 2023 down 25.0% falling
88 Guinea 3 1000 t 2023 up 50.0% rising
88 Cambodia 3 1000 t 2023 unchanged falling
88 Madagascar 3 1000 t 2023 unchanged flat
88 Oman 3 1000 t 2023 up 200.0% rising
88 Portugal 3 1000 t 2023 unchanged flat
88 Paraguay 3 1000 t 2023 unchanged flat
88 Uruguay 3 1000 t 2023 down 40.0% falling
88 Zimbabwe 3 1000 t 2023 unchanged falling
98 Australia 2 1000 t 2023 unchanged rising
98 Bahrain 2 1000 t 2023 — flat
98 Bosnia and Herzegovina 2 1000 t 2023 unchanged flat
98 Costa Rica 2 1000 t 2023 up 100.0% rising
98 Czechia 2 1000 t 2023 down 33.3% falling
98 Fiji 2 1000 t 2023 up 100.0% volatile
98 Greece 2 1000 t 2023 unchanged flat
98 Hungary 2 1000 t 2023 unchanged flat
98 Italy 2 1000 t 2023 unchanged flat
98 Laos 2 1000 t 2023 unchanged rising
98 Malawi 2 1000 t 2023 unchanged flat
98 Niger 2 1000 t 2023 unchanged flat
98 New Zealand 2 1000 t 2023 unchanged rising
98 Panama 2 1000 t 2023 unchanged rising
98 Poland 2 1000 t 2023 up 100.0% rising
98 Sierra Leone 2 1000 t 2023 unchanged rising
98 El Salvador 2 1000 t 2023 unchanged flat
98 Slovenia 2 1000 t 2023 unchanged flat
98 Sweden 2 1000 t 2023 down 33.3% rising
98 Melanesia 2 1000 t 2023 unchanged falling
98 Lao People's Democratic Republic 2 1000 t 2023 unchanged rising
98 Netherlands (Kingdom of the) 2 1000 t 2023 unchanged flat
120 Armenia 1 1000 t 2023 unchanged flat
120 Cyprus 1 1000 t 2023 unchanged flat
120 Denmark 1 1000 t 2023 unchanged flat
120 Estonia 1 1000 t 2023 unchanged flat
120 Finland 1 1000 t 2023 unchanged flat
120 Georgia 1 1000 t 2023 unchanged flat
120 Honduras 1 1000 t 2023 unchanged flat
120 Iraq 1 1000 t 2023 down 80.0% falling
120 Jamaica 1 1000 t 2023 unchanged flat
120 Liberia 1 1000 t 2023 unchanged falling
120 North Macedonia 1 1000 t 2023 unchanged flat
120 Montenegro 1 1000 t 2023 — volatile
120 Mongolia 1 1000 t 2023 — volatile
120 Mozambique 1 1000 t 2023 down 75.0% falling
120 Nicaragua 1 1000 t 2023 unchanged flat
120 Norway 1 1000 t 2023 unchanged flat
120 Qatar 1 1000 t 2023 — falling
120 Rwanda 1 1000 t 2023 — volatile
120 Slovakia 1 1000 t 2023 down 50.0% falling
120 Democratic Republic of the Congo 1 1000 t 2023 down 50.0% falling
140 Congo 0 1000 t 2023 down 100.0% volatile
140 Haiti 0 1000 t 2023 — volatile
140 Mauritania 0 1000 t 2023 down 100.0% volatile
140 Papua New Guinea 0 1000 t 2023 down 100.0% volatile
140 Serbia 0 1000 t 2023 — volatile
140 China, Hong Kong SAR 0 1000 t 2023 down 100.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Eggs — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 01 October 2026, from https://agriculture.statizoid.com/stat/eggs-losses/

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About this data

Indicator
Eggs — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
222 places, 2,994 data points, 2010–2023
Last refreshed

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.