Eggs — Stock Variation 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
157
Highest
15 1000 t
China
Lowest
-1 1000 t
Iran (Islamic Republic of)
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,432

What the numbers show

Eggs — Stock Variation is currently reported for 157 countries. The highest value is 15 1000 t in China; the lowest is -1 1000 t in Iran (Islamic Republic of).

The median across all reporting countries is 0 1000 t, and the mean is 0.3885 1000 t.

The gap between the highest and lowest reporting country is a factor of about 15.

Over the past decade 12 countries rose and 14 fell. The largest increase was in Brazil (up 600.0%), and the largest decrease in United Arab Emirates (down 100.0%).

Eggs — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 China 15 1000 t 2023 down 79.2% volatile
1 China, mainland 15 1000 t 2023 down 79.2% volatile
3 Brazil 7 1000 t 2023 up 600.0% volatile
4 Mauritania 6 1000 t 2018 volatile
5 India 4 1000 t 2023 up 200.0% volatile
6 Denmark 3 1000 t 2023 volatile
6 Spain 3 1000 t 2023 up 109.1% volatile
6 Thailand 3 1000 t 2023 up 200.0% volatile
9 Gambia 2 1000 t 2021 volatile
10 Czechia 1 1000 t 2023 volatile
10 Estonia 1 1000 t 2023 volatile
10 Indonesia 1 1000 t 2023 unchanged volatile
10 Philippines 1 1000 t 2023 volatile
14 Angola 0 1000 t 2023 flat
14 Albania 0 1000 t 2023 flat
14 United Arab Emirates 0 1000 t 2023 down 100.0% flat
14 Argentina 0 1000 t 2023 up 100.0% volatile
14 Armenia 0 1000 t 2023 flat
14 Australia 0 1000 t 2023 volatile
14 Austria 0 1000 t 2023 down 100.0% flat
14 Azerbaijan 0 1000 t 2023 flat
14 Belgium 0 1000 t 2023 up 100.0% volatile
14 Burkina Faso 0 1000 t 2023 flat
14 Bangladesh 0 1000 t 2023 flat
14 Bulgaria 0 1000 t 2023 volatile
14 Bahrain 0 1000 t 2023 flat
14 Bahamas 0 1000 t 2023 flat
14 Bosnia and Herzegovina 0 1000 t 2023 flat
14 Belarus 0 1000 t 2023 up 100.0% volatile
14 Belize 0 1000 t 2021 flat
14 Barbados 0 1000 t 2023 flat
14 Botswana 0 1000 t 2023 flat
14 Canada 0 1000 t 2023 down 100.0% volatile
14 Switzerland 0 1000 t 2023 up 100.0% volatile
14 Chile 0 1000 t 2023 up 100.0% volatile
14 Cameroon 0 1000 t 2023 flat
14 Congo 0 1000 t 2023 flat
14 Colombia 0 1000 t 2023 flat
14 Costa Rica 0 1000 t 2023 volatile
14 Cuba 0 1000 t 2019 up 100.0% volatile
14 Cyprus 0 1000 t 2023 flat
14 Germany 0 1000 t 2023 volatile
14 Algeria 0 1000 t 2023 volatile
14 Ecuador 0 1000 t 2023 flat
14 Egypt 0 1000 t 2023 flat
14 Ethiopia 0 1000 t 2023 flat
14 Finland 0 1000 t 2023 volatile
14 Fiji 0 1000 t 2021 flat
14 France 0 1000 t 2023 flat
14 Gabon 0 1000 t 2023 flat
14 Georgia 0 1000 t 2021 flat
14 Ghana 0 1000 t 2023 flat
14 Guinea 0 1000 t 2023 flat
14 Greece 0 1000 t 2023 volatile
14 Grenada 0 1000 t 2023 flat
14 Guatemala 0 1000 t 2023 flat
14 Guyana 0 1000 t 2023 flat
14 Honduras 0 1000 t 2023 flat
14 Croatia 0 1000 t 2023 flat
14 Haiti 0 1000 t 2023 flat
14 Hungary 0 1000 t 2023 volatile
14 Ireland 0 1000 t 2023 down 100.0% volatile
14 Iraq 0 1000 t 2023 flat
14 Iceland 0 1000 t 2023 flat
14 Israel 0 1000 t 2023 flat
14 Italy 0 1000 t 2023 volatile
14 Jamaica 0 1000 t 2023 flat
14 Jordan 0 1000 t 2023 down 100.0% volatile
14 Kazakhstan 0 1000 t 2023 flat
14 Kenya 0 1000 t 2023 flat
14 Kyrgyzstan 0 1000 t 2023 volatile
14 Cambodia 0 1000 t 2023 flat
14 Kuwait 0 1000 t 2023 flat
14 Lebanon 0 1000 t 2023 flat
14 Libya 0 1000 t 2023 flat
14 Saint Lucia 0 1000 t 2023 flat
14 Sri Lanka 0 1000 t 2023 flat
14 Lesotho 0 1000 t 2023 flat
14 Lithuania 0 1000 t 2023 volatile
14 Luxembourg 0 1000 t 2023 volatile
14 Latvia 0 1000 t 2023 flat
14 Morocco 0 1000 t 2023 volatile
14 Madagascar 0 1000 t 2023 flat
14 Maldives 0 1000 t 2023 flat
14 Mexico 0 1000 t 2023 down 100.0% volatile
14 Marshall Islands 0 1000 t 2023 volatile
14 North Macedonia 0 1000 t 2023 down 100.0% volatile
14 Malta 0 1000 t 2023 flat
14 Myanmar 0 1000 t 2023 flat
14 Mongolia 0 1000 t 2023 flat
14 Mozambique 0 1000 t 2023 flat
14 Mauritius 0 1000 t 2023 flat
14 Malawi 0 1000 t 2023 flat
14 Malaysia 0 1000 t 2023 flat
14 Namibia 0 1000 t 2023 flat
14 New Caledonia 0 1000 t 2023 flat
14 Niger 0 1000 t 2023 flat
14 Nigeria 0 1000 t 2023 volatile
14 Nicaragua 0 1000 t 2023 volatile
14 Norway 0 1000 t 2023 flat
14 Nepal 0 1000 t 2023 flat
14 New Zealand 0 1000 t 2023 volatile
14 Oman 0 1000 t 2023 flat
14 Pakistan 0 1000 t 2023 flat
14 Panama 0 1000 t 2023 volatile
14 Peru 0 1000 t 2023 flat
14 Poland 0 1000 t 2023 down 100.0% flat
14 Portugal 0 1000 t 2023 down 100.0% volatile
14 Paraguay 0 1000 t 2023 flat
14 French Polynesia 0 1000 t 2023 flat
14 Qatar 0 1000 t 2023 volatile
14 Romania 0 1000 t 2023 down 100.0% volatile
14 Rwanda 0 1000 t 2023 flat
14 Saudi Arabia 0 1000 t 2023 volatile
14 Senegal 0 1000 t 2023 volatile
14 Sierra Leone 0 1000 t 2023 flat
14 El Salvador 0 1000 t 2023 volatile
14 Serbia 0 1000 t 2023 volatile
14 Slovakia 0 1000 t 2023 down 100.0% volatile
14 Slovenia 0 1000 t 2023 flat
14 Sweden 0 1000 t 2023 up 100.0% volatile
14 Eswatini 0 1000 t 2023 flat
14 Seychelles 0 1000 t 2023 flat
14 Tajikistan 0 1000 t 2023 flat
14 Trinidad and Tobago 0 1000 t 2023 flat
14 Tunisia 0 1000 t 2023 volatile
14 Uganda 0 1000 t 2023 flat
14 Ukraine 0 1000 t 2023 up 100.0% volatile
14 Uruguay 0 1000 t 2023 flat
14 Uzbekistan 0 1000 t 2023 flat
14 Samoa 0 1000 t 2020 flat
14 Yemen 0 1000 t 2023 flat
14 Zambia 0 1000 t 2023 flat
14 Zimbabwe 0 1000 t 2023 flat
14 Micronesia 0 1000 t 2023 volatile
14 Cabo Verde 0 1000 t 2023 flat
14 Melanesia 0 1000 t 2023 flat
14 Polynesia 0 1000 t 2023 flat
14 Democratic Republic of the Congo 0 1000 t 2023 flat
14 Caribbean 0 1000 t 2023 volatile
14 Bolivia (Plurinational State of) 0 1000 t 2023 flat
14 China, Hong Kong SAR 0 1000 t 2023 flat
14 Republic of Korea 0 1000 t 2023 down 100.0% volatile
14 Republic of Moldova 0 1000 t 2023 flat
14 Russian Federation 0 1000 t 2023 volatile
14 Syrian Arab Republic 0 1000 t 2023 flat
14 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
14 Viet Nam 0 1000 t 2023 flat
14 Türkiye 0 1000 t 2023 flat
14 Australia and New Zealand 0 1000 t 2023 volatile
14 Côte d'Ivoire 0 1000 t 2023 flat
14 United Republic of Tanzania 0 1000 t 2023 flat
14 China, Taiwan Province of 0 1000 t 2023 volatile
14 Netherlands (Kingdom of the) 0 1000 t 2023 flat
14 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 volatile
14 Democratic People's Republic of Korea 0 1000 t 2018 flat
157 Iran (Islamic Republic of) -1 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.

About this data

Indicator
Eggs — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
188 places, 2,432 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.