Eggs — Export 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
146
Highest
803 1000 t
Netherlands (Kingdom of the)
Lowest
0 1000 t
China, Macao SAR
Median
1 1000 t
Years covered
14
2010–2023
Data points
2,153

What the numbers show

Eggs — Export quantity is currently reported for 146 countries. The highest value is 803 1000 t in Netherlands (Kingdom of the); the lowest is 0 1000 t in China, Macao SAR.

The median across all reporting countries is 1 1000 t, and the mean is 23.36 1000 t.

Over the past decade 35 countries rose and 25 fell. The largest increase was in Morocco (up 3,400.0%), and the largest decrease in Mexico (down 100.0%).

Eggs — Export quantity: full country ranking

#Country LatestYear 10-year changeTrend
1 Netherlands (Kingdom of the) 803 1000 t 2023 up 17.4% rising
2 Poland 318 1000 t 2023 up 25.2% rising
3 Germany 219 1000 t 2023 down 3.1% flat
4 Türkiye 208 1000 t 2023 down 26.0% rising
5 China 177 1000 t 2023 up 71.8% rising
6 China, mainland 174 1000 t 2023 up 77.6% rising
7 Spain 150 1000 t 2023 down 4.5% rising
8 Belgium 145 1000 t 2023 up 40.8% rising
9 India 124 1000 t 2023 up 65.3% rising
10 Jordan 102 1000 t 2023 up 537.5% volatile
11 France 97 1000 t 2023 down 11.8% falling
12 Italy 81 1000 t 2023 up 118.9% rising
13 Malaysia 76 1000 t 2023 down 20.0% falling
14 Latvia 61 1000 t 2023 up 177.3% rising
15 Brazil 59 1000 t 2023 up 195.0% rising
16 Denmark 41 1000 t 2023 up 192.9% rising
17 Morocco 35 1000 t 2023 up 3,400.0% volatile
17 Thailand 35 1000 t 2023 up 40.0% rising
19 Czechia 33 1000 t 2023 up 83.3% rising
19 Ukraine 33 1000 t 2023 down 32.7% volatile
19 United Kingdom of Great Britain and Northern Ireland 33 1000 t 2023 up 26.9% rising
22 Oman 30 1000 t 2023 up 500.0% volatile
22 Portugal 30 1000 t 2023 down 6.2% rising
22 Romania 30 1000 t 2023 up 42.9% rising
25 Bulgaria 29 1000 t 2023 up 123.1% rising
26 Austria 24 1000 t 2023 up 100.0% rising
27 Lithuania 22 1000 t 2023 up 69.2% rising
27 Russian Federation 22 1000 t 2023 up 15.8% rising
29 Sweden 20 1000 t 2023 up 81.8% rising
30 Finland 13 1000 t 2023 up 18.2% rising
30 Hungary 13 1000 t 2023 unchanged rising
32 Ireland 12 1000 t 2023 up 71.4% rising
32 Slovakia 12 1000 t 2023 unchanged falling
34 Egypt 11 1000 t 2023 up 120.0% volatile
35 Kazakhstan 10 1000 t 2023 volatile
36 United Arab Emirates 8 1000 t 2023 down 27.3% rising
37 Pakistan 7 1000 t 2023 down 41.7% volatile
38 Canada 6 1000 t 2023 down 53.8% falling
38 Viet Nam 6 1000 t 2023 up 200.0% rising
40 Serbia 5 1000 t 2023 up 400.0% volatile
41 Albania 4 1000 t 2023 up 300.0% volatile
41 Argentina 4 1000 t 2023 down 60.0% volatile
41 Belarus 4 1000 t 2023 down 91.8% falling
41 Dominican Republic 4 1000 t 2023 volatile
41 Greece 4 1000 t 2023 unchanged rising
41 Kuwait 4 1000 t 2023 down 63.6% volatile
41 Saudi Arabia 4 1000 t 2023 down 92.7% volatile
41 Uzbekistan 4 1000 t 2023 volatile
41 Caribbean 4 1000 t 2023 volatile
41 Iran (Islamic Republic of) 4 1000 t 2023 up 300.0% volatile
51 Azerbaijan 3 1000 t 2023 volatile
51 Guatemala 3 1000 t 2023 volatile
51 Luxembourg 3 1000 t 2023 up 200.0% volatile
51 Australia and New Zealand 3 1000 t 2023 down 40.0% falling
55 Australia 2 1000 t 2023 up 100.0% volatile
55 Bosnia and Herzegovina 2 1000 t 2023 down 50.0% falling
55 Costa Rica 2 1000 t 2023 down 33.3% flat
55 Estonia 2 1000 t 2023 down 50.0% falling
55 Fiji 2 1000 t 2023 unchanged volatile
55 Honduras 2 1000 t 2023 volatile
55 Croatia 2 1000 t 2023 up 100.0% rising
55 Indonesia 2 1000 t 2023 volatile
55 Norway 2 1000 t 2023 unchanged rising
55 Peru 2 1000 t 2023 down 71.4% volatile
55 Slovenia 2 1000 t 2023 up 100.0% rising
55 Zambia 2 1000 t 2023 up 100.0% rising
55 Melanesia 2 1000 t 2023 unchanged volatile
55 Republic of Korea 2 1000 t 2023 up 100.0% volatile
55 China, Taiwan Province of 2 1000 t 2023 down 33.3% rising
70 Switzerland 1 1000 t 2023 unchanged flat
70 Cameroon 1 1000 t 2023 volatile
70 Colombia 1 1000 t 2023 unchanged volatile
70 Georgia 1 1000 t 2023 volatile
70 Sri Lanka 1 1000 t 2023 unchanged volatile
70 Malawi 1 1000 t 2023 unchanged volatile
70 Nicaragua 1 1000 t 2023 volatile
70 New Zealand 1 1000 t 2023 down 75.0% falling
70 Panama 1 1000 t 2023 unchanged rising
70 Rwanda 1 1000 t 2022 volatile
70 Tajikistan 1 1000 t 2022 volatile
70 Tunisia 1 1000 t 2022 volatile
70 Uganda 1 1000 t 2023 unchanged volatile
70 China, Hong Kong SAR 1 1000 t 2023 down 50.0% volatile
84 Afghanistan 0 1000 t 2022 flat
84 Angola 0 1000 t 2023 flat
84 Armenia 0 1000 t 2023 flat
84 Antigua and Barbuda 0 1000 t 2020 flat
84 Burkina Faso 0 1000 t 2023 flat
84 Bangladesh 0 1000 t 2015 flat
84 Bahrain 0 1000 t 2023 flat
84 Bahamas 0 1000 t 2018 flat
84 Belize 0 1000 t 2017 flat
84 Barbados 0 1000 t 2020 flat
84 Botswana 0 1000 t 2023 flat
84 Chile 0 1000 t 2022 flat
84 Congo 0 1000 t 2023 volatile
84 Cyprus 0 1000 t 2023 flat
84 Djibouti 0 1000 t 2023 flat
84 Algeria 0 1000 t 2023 flat
84 Ecuador 0 1000 t 2020 flat
84 Ethiopia 0 1000 t 2023 flat
84 Gabon 0 1000 t 2023 flat
84 Ghana 0 1000 t 2023 flat
84 Gambia 0 1000 t 2016 flat
84 Guyana 0 1000 t 2022 flat
84 Iraq 0 1000 t 2022 volatile
84 Iceland 0 1000 t 2023 flat
84 Israel 0 1000 t 2017 flat
84 Jamaica 0 1000 t 2023 flat
84 Kenya 0 1000 t 2023 volatile
84 Kyrgyzstan 0 1000 t 2023 flat
84 Lebanon 0 1000 t 2023 volatile
84 Libya 0 1000 t 2019 flat
84 Lesotho 0 1000 t 2023 flat
84 Madagascar 0 1000 t 2022 flat
84 Mexico 0 1000 t 2023 down 100.0% volatile
84 North Macedonia 0 1000 t 2022 down 100.0% volatile
84 Malta 0 1000 t 2020 flat
84 Myanmar 0 1000 t 2018 flat
84 Montenegro 0 1000 t 2023 flat
84 Mozambique 0 1000 t 2023 flat
84 Mauritius 0 1000 t 2023 flat
84 Namibia 0 1000 t 2023 volatile
84 New Caledonia 0 1000 t 2023 flat
84 Niger 0 1000 t 2019 flat
84 Nigeria 0 1000 t 2023 volatile
84 Nepal 0 1000 t 2016 flat
84 Philippines 0 1000 t 2023 flat
84 Senegal 0 1000 t 2023 flat
84 El Salvador 0 1000 t 2023 volatile
84 Eswatini 0 1000 t 2023 volatile
84 Trinidad and Tobago 0 1000 t 2023 flat
84 Uruguay 0 1000 t 2022 flat
84 Vanuatu 0 1000 t 2023 flat
84 Samoa 0 1000 t 2021 flat
84 Yemen 0 1000 t 2023 volatile
84 Zimbabwe 0 1000 t 2023 down 100.0% volatile
84 Cabo Verde 0 1000 t 2023 flat
84 Polynesia 0 1000 t 2021 flat
84 Bolivia (Plurinational State of) 0 1000 t 2023 flat
84 Republic of Moldova 0 1000 t 2021 flat
84 Syrian Arab Republic 0 1000 t 2023 volatile
84 Venezuela (Bolivarian Republic of) 0 1000 t 2016 flat
84 Côte d'Ivoire 0 1000 t 2023 flat
84 United Republic of Tanzania 0 1000 t 2023 flat
84 China, Macao SAR 0 1000 t 2018 flat

Regions and income groups

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

About this data

Indicator
Eggs — Export quantity
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
177 places, 2,153 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.