Statizoid

Infant food — 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
178
Highest
19 1000 t
China
Lowest
-15 1000 t
Russian Federation
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,770

What the numbers show

Infant food — Stock Variation is currently reported for 178 countries. The highest value is 19 1000 t in China; the lowest is -15 1000 t in Russian Federation.

The median across all reporting countries is 0 1000 t, and the mean is 0.2528 1000 t.

Over the past decade 11 countries rose and 24 fell. The largest increase was in Saudi Arabia (up 133.3%), and the largest decrease in Russian Federation (down 350.0%).

Infant food — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 China 19 1000 t 2023 down 24.0% volatile
1 China, mainland 19 1000 t 2023 down 20.8% volatile
3 Uzbekistan 5 1000 t 2023 — volatile
4 Kenya 4 1000 t 2023 — volatile
5 Cambodia 3 1000 t 2023 — volatile
6 Algeria 2 1000 t 2023 — volatile
6 Oman 2 1000 t 2023 — volatile
6 Republic of Korea 2 1000 t 2023 — volatile
9 Botswana 1 1000 t 2023 — volatile
9 Jamaica 1 1000 t 2023 — volatile
9 Kuwait 1 1000 t 2023 unchanged volatile
9 Philippines 1 1000 t 2023 up 116.7% volatile
9 Saudi Arabia 1 1000 t 2023 up 133.3% volatile
9 Sierra Leone 1 1000 t 2023 — volatile
9 Caribbean 1 1000 t 2023 — volatile
16 Afghanistan 0 1000 t 2023 — volatile
16 Angola 0 1000 t 2023 down 100.0% volatile
16 Albania 0 1000 t 2023 — flat
16 United Arab Emirates 0 1000 t 2023 up 100.0% volatile
16 Argentina 0 1000 t 2023 — flat
16 Armenia 0 1000 t 2023 — flat
16 Antigua and Barbuda 0 1000 t 2023 — flat
16 Australia 0 1000 t 2023 up 100.0% volatile
16 Azerbaijan 0 1000 t 2023 — volatile
16 Burkina Faso 0 1000 t 2023 — volatile
16 Bangladesh 0 1000 t 2023 down 100.0% volatile
16 Bulgaria 0 1000 t 2023 — volatile
16 Bahrain 0 1000 t 2023 — flat
16 Bahamas 0 1000 t 2023 — flat
16 Bosnia and Herzegovina 0 1000 t 2023 — flat
16 Belarus 0 1000 t 2023 — flat
16 Belize 0 1000 t 2023 — volatile
16 Brazil 0 1000 t 2023 up 100.0% volatile
16 Barbados 0 1000 t 2023 — flat
16 Bhutan 0 1000 t 2023 — flat
16 Canada 0 1000 t 2023 down 100.0% flat
16 Switzerland 0 1000 t 2023 — flat
16 Chile 0 1000 t 2023 — flat
16 Cameroon 0 1000 t 2023 — volatile
16 Congo 0 1000 t 2023 — volatile
16 Colombia 0 1000 t 2023 — volatile
16 Comoros 0 1000 t 2023 — flat
16 Costa Rica 0 1000 t 2023 down 100.0% flat
16 Cuba 0 1000 t 2019 — flat
16 Cyprus 0 1000 t 2023 — flat
16 Czechia 0 1000 t 2023 up 100.0% volatile
16 Germany 0 1000 t 2023 — flat
16 Djibouti 0 1000 t 2023 — flat
16 Denmark 0 1000 t 2023 — flat
16 Dominican Republic 0 1000 t 2023 — volatile
16 Ecuador 0 1000 t 2023 — flat
16 Egypt 0 1000 t 2023 down 100.0% volatile
16 Spain 0 1000 t 2023 — flat
16 Estonia 0 1000 t 2023 — flat
16 Ethiopia 0 1000 t 2023 down 100.0% flat
16 Finland 0 1000 t 2023 down 100.0% volatile
16 Fiji 0 1000 t 2023 — flat
16 France 0 1000 t 2023 — flat
16 Gabon 0 1000 t 2023 — flat
16 Georgia 0 1000 t 2023 — flat
16 Ghana 0 1000 t 2023 — flat
16 Guinea 0 1000 t 2023 — volatile
16 Gambia 0 1000 t 2023 — flat
16 Guinea-Bissau 0 1000 t 2023 — flat
16 Greece 0 1000 t 2023 up 100.0% volatile
16 Grenada 0 1000 t 2023 — flat
16 Guatemala 0 1000 t 2023 — volatile
16 Guyana 0 1000 t 2023 — flat
16 Honduras 0 1000 t 2023 down 100.0% flat
16 Croatia 0 1000 t 2023 — flat
16 Haiti 0 1000 t 2023 — flat
16 Hungary 0 1000 t 2023 — volatile
16 Indonesia 0 1000 t 2023 down 100.0% flat
16 India 0 1000 t 2023 — flat
16 Ireland 0 1000 t 2023 — flat
16 Iraq 0 1000 t 2023 — volatile
16 Iceland 0 1000 t 2023 — flat
16 Israel 0 1000 t 2023 — flat
16 Italy 0 1000 t 2023 down 100.0% volatile
16 Jordan 0 1000 t 2023 — flat
16 Kazakhstan 0 1000 t 2023 — volatile
16 Kyrgyzstan 0 1000 t 2023 — volatile
16 Kiribati 0 1000 t 2023 — flat
16 Saint Kitts and Nevis 0 1000 t 2023 — flat
16 Lebanon 0 1000 t 2023 — flat
16 Liberia 0 1000 t 2023 — flat
16 Libya 0 1000 t 2023 down 100.0% volatile
16 Saint Lucia 0 1000 t 2023 — flat
16 Sri Lanka 0 1000 t 2023 — flat
16 Lithuania 0 1000 t 2023 — flat
16 Luxembourg 0 1000 t 2023 — flat
16 Latvia 0 1000 t 2023 — flat
16 Morocco 0 1000 t 2023 down 100.0% flat
16 Madagascar 0 1000 t 2023 — flat
16 Maldives 0 1000 t 2023 — flat
16 Mexico 0 1000 t 2023 — flat
16 Marshall Islands 0 1000 t 2023 — flat
16 North Macedonia 0 1000 t 2023 — flat
16 Malta 0 1000 t 2023 — flat
16 Myanmar 0 1000 t 2023 — volatile
16 Montenegro 0 1000 t 2023 — flat
16 Mongolia 0 1000 t 2023 — flat
16 Mozambique 0 1000 t 2023 — volatile
16 Mauritania 0 1000 t 2023 — volatile
16 Mauritius 0 1000 t 2023 — flat
16 Malawi 0 1000 t 2023 — volatile
16 Malaysia 0 1000 t 2023 down 100.0% volatile
16 Namibia 0 1000 t 2023 — volatile
16 New Caledonia 0 1000 t 2023 — flat
16 Niger 0 1000 t 2023 down 100.0% volatile
16 Nigeria 0 1000 t 2023 — volatile
16 Nicaragua 0 1000 t 2023 down 100.0% flat
16 Norway 0 1000 t 2023 — flat
16 Nepal 0 1000 t 2023 — flat
16 Nauru 0 1000 t 2023 — flat
16 New Zealand 0 1000 t 2023 — flat
16 Pakistan 0 1000 t 2023 — flat
16 Panama 0 1000 t 2023 — flat
16 Peru 0 1000 t 2023 — volatile
16 Papua New Guinea 0 1000 t 2023 — flat
16 Poland 0 1000 t 2023 — volatile
16 Portugal 0 1000 t 2023 up 100.0% volatile
16 Paraguay 0 1000 t 2023 — flat
16 French Polynesia 0 1000 t 2023 — flat
16 Qatar 0 1000 t 2023 — flat
16 Romania 0 1000 t 2023 — flat
16 Rwanda 0 1000 t 2023 — flat
16 Senegal 0 1000 t 2023 — volatile
16 Solomon Islands 0 1000 t 2023 — flat
16 El Salvador 0 1000 t 2023 — volatile
16 Serbia 0 1000 t 2023 — volatile
16 Sao Tome and Principe 0 1000 t 2023 — flat
16 Suriname 0 1000 t 2023 — volatile
16 Slovakia 0 1000 t 2023 — flat
16 Slovenia 0 1000 t 2023 — volatile
16 Sweden 0 1000 t 2023 — volatile
16 Eswatini 0 1000 t 2023 — flat
16 Seychelles 0 1000 t 2023 — flat
16 Thailand 0 1000 t 2023 down 100.0% volatile
16 Tajikistan 0 1000 t 2023 — flat
16 Turkmenistan 0 1000 t 2023 — flat
16 Tonga 0 1000 t 2023 — flat
16 Trinidad and Tobago 0 1000 t 2023 — volatile
16 Tunisia 0 1000 t 2023 — flat
16 Uganda 0 1000 t 2023 — flat
16 Ukraine 0 1000 t 2023 down 100.0% flat
16 Uruguay 0 1000 t 2023 — flat
16 Saint Vincent and the Grenadines 0 1000 t 2023 — flat
16 Vanuatu 0 1000 t 2023 — flat
16 Samoa 0 1000 t 2023 — flat
16 Yemen 0 1000 t 2023 down 100.0% volatile
16 Zambia 0 1000 t 2023 — volatile
16 Zimbabwe 0 1000 t 2023 — volatile
16 Micronesia 0 1000 t 2023 — flat
16 Timor-Leste 0 1000 t 2023 — flat
16 Cabo Verde 0 1000 t 2023 — flat
16 Melanesia 0 1000 t 2023 — flat
16 Polynesia 0 1000 t 2023 — flat
16 Democratic Republic of the Congo 0 1000 t 2023 — flat
16 Bolivia (Plurinational State of) 0 1000 t 2023 — volatile
16 China, Hong Kong SAR 0 1000 t 2023 — volatile
16 Iran (Islamic Republic of) 0 1000 t 2023 — flat
16 Republic of Moldova 0 1000 t 2023 — flat
16 Syrian Arab Republic 0 1000 t 2023 — flat
16 Venezuela (Bolivarian Republic of) 0 1000 t 2023 up 100.0% volatile
16 Viet Nam 0 1000 t 2023 — volatile
16 Türkiye 0 1000 t 2023 down 100.0% volatile
16 Australia and New Zealand 0 1000 t 2023 up 100.0% volatile
16 Côte d'Ivoire 0 1000 t 2023 — volatile
16 Lao People's Democratic Republic 0 1000 t 2023 — flat
16 United Republic of Tanzania 0 1000 t 2023 — volatile
16 China, Taiwan Province of 0 1000 t 2023 down 100.0% flat
16 Netherlands (Kingdom of the) 0 1000 t 2023 — flat
16 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 down 100.0% volatile
16 China, Macao SAR 0 1000 t 2023 up 100.0% volatile
176 Austria -1 1000 t 2023 — volatile
177 Belgium -2 1000 t 2023 — volatile
178 Russian Federation -15 1000 t 2023 down 350.0% 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
Infant food — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
209 places, 2,770 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.