Infant food — Residuals 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
179
Highest
0 1000 t
Afghanistan
Lowest
-140 1000 t
Netherlands (Kingdom of the)
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,879

What the numbers show

Infant food — Residuals is currently reported for 179 countries. The highest value is 0 1000 t in Afghanistan; the lowest is -140 1000 t in Netherlands (Kingdom of the).

The median across all reporting countries is 0 1000 t, and the mean is -4.56 1000 t.

Over the past decade 11 countries rose and 8 fell. The largest increase was in Belgium (up 100.0%), and the largest decrease in Germany (down 137.5%).

Infant food — Residuals: full country ranking

#Country LatestYear 10-year changeTrend
1 Afghanistan 0 1000 t 2023 flat
1 Angola 0 1000 t 2023 flat
1 Albania 0 1000 t 2023 flat
1 United Arab Emirates 0 1000 t 2023 flat
1 Armenia 0 1000 t 2023 flat
1 Antigua and Barbuda 0 1000 t 2023 flat
1 Australia 0 1000 t 2023 volatile
1 Austria 0 1000 t 2023 volatile
1 Azerbaijan 0 1000 t 2023 flat
1 Belgium 0 1000 t 2023 up 100.0% volatile
1 Burkina Faso 0 1000 t 2023 flat
1 Bangladesh 0 1000 t 2023 flat
1 Bulgaria 0 1000 t 2023 flat
1 Bahrain 0 1000 t 2023 flat
1 Bahamas 0 1000 t 2023 flat
1 Bosnia and Herzegovina 0 1000 t 2023 flat
1 Belize 0 1000 t 2023 flat
1 Barbados 0 1000 t 2023 flat
1 Bhutan 0 1000 t 2023 flat
1 Botswana 0 1000 t 2023 flat
1 Canada 0 1000 t 2023 flat
1 China 0 1000 t 2023 volatile
1 Cameroon 0 1000 t 2023 flat
1 Congo 0 1000 t 2023 flat
1 Colombia 0 1000 t 2023 flat
1 Comoros 0 1000 t 2023 flat
1 Costa Rica 0 1000 t 2023 flat
1 Cuba 0 1000 t 2019 flat
1 Cyprus 0 1000 t 2023 flat
1 Czechia 0 1000 t 2023 flat
1 Djibouti 0 1000 t 2023 flat
1 Dominican Republic 0 1000 t 2023 flat
1 Algeria 0 1000 t 2023 flat
1 Ecuador 0 1000 t 2023 flat
1 Egypt 0 1000 t 2023 flat
1 Ethiopia 0 1000 t 2023 flat
1 Finland 0 1000 t 2023 flat
1 Fiji 0 1000 t 2023 flat
1 Gabon 0 1000 t 2023 flat
1 Georgia 0 1000 t 2023 flat
1 Guinea 0 1000 t 2023 flat
1 Gambia 0 1000 t 2023 flat
1 Guinea-Bissau 0 1000 t 2023 flat
1 Greece 0 1000 t 2023 flat
1 Grenada 0 1000 t 2023 flat
1 Guatemala 0 1000 t 2023 flat
1 Guyana 0 1000 t 2023 flat
1 Honduras 0 1000 t 2023 flat
1 Haiti 0 1000 t 2023 flat
1 Hungary 0 1000 t 2023 flat
1 India 0 1000 t 2023 up 100.0% rising
1 Iraq 0 1000 t 2023 flat
1 Iceland 0 1000 t 2023 flat
1 Israel 0 1000 t 2023 flat
1 Italy 0 1000 t 2023 flat
1 Jamaica 0 1000 t 2023 flat
1 Jordan 0 1000 t 2023 volatile
1 Kazakhstan 0 1000 t 2023 flat
1 Kenya 0 1000 t 2023 flat
1 Kyrgyzstan 0 1000 t 2023 flat
1 Cambodia 0 1000 t 2023 flat
1 Kiribati 0 1000 t 2023 flat
1 Saint Kitts and Nevis 0 1000 t 2023 flat
1 Kuwait 0 1000 t 2023 flat
1 Lebanon 0 1000 t 2023 flat
1 Liberia 0 1000 t 2023 flat
1 Libya 0 1000 t 2023 flat
1 Saint Lucia 0 1000 t 2023 flat
1 Sri Lanka 0 1000 t 2023 flat
1 Lesotho 0 1000 t 2023 flat
1 Lithuania 0 1000 t 2023 flat
1 Luxembourg 0 1000 t 2023 flat
1 Latvia 0 1000 t 2023 flat
1 Morocco 0 1000 t 2023 flat
1 Madagascar 0 1000 t 2023 flat
1 Maldives 0 1000 t 2023 flat
1 Marshall Islands 0 1000 t 2023 flat
1 North Macedonia 0 1000 t 2023 flat
1 Malta 0 1000 t 2023 flat
1 Myanmar 0 1000 t 2023 flat
1 Montenegro 0 1000 t 2023 flat
1 Mongolia 0 1000 t 2023 flat
1 Mozambique 0 1000 t 2023 flat
1 Mauritania 0 1000 t 2023 flat
1 Mauritius 0 1000 t 2023 flat
1 Malawi 0 1000 t 2023 flat
1 Malaysia 0 1000 t 2023 flat
1 Namibia 0 1000 t 2023 flat
1 New Caledonia 0 1000 t 2023 flat
1 Niger 0 1000 t 2023 flat
1 Nigeria 0 1000 t 2023 flat
1 Nicaragua 0 1000 t 2023 flat
1 Norway 0 1000 t 2023 flat
1 Nepal 0 1000 t 2023 flat
1 Nauru 0 1000 t 2023 flat
1 Oman 0 1000 t 2023 flat
1 Pakistan 0 1000 t 2023 flat
1 Panama 0 1000 t 2023 flat
1 Peru 0 1000 t 2023 flat
1 Philippines 0 1000 t 2023 volatile
1 Papua New Guinea 0 1000 t 2023 flat
1 Paraguay 0 1000 t 2023 flat
1 French Polynesia 0 1000 t 2023 flat
1 Qatar 0 1000 t 2023 flat
1 Romania 0 1000 t 2023 flat
1 Saudi Arabia 0 1000 t 2023 flat
1 Senegal 0 1000 t 2023 flat
1 Solomon Islands 0 1000 t 2023 flat
1 Sierra Leone 0 1000 t 2023 flat
1 El Salvador 0 1000 t 2023 flat
1 Serbia 0 1000 t 2023 flat
1 Sao Tome and Principe 0 1000 t 2023 flat
1 Suriname 0 1000 t 2023 flat
1 Slovakia 0 1000 t 2023 flat
1 Slovenia 0 1000 t 2023 up 100.0% volatile
1 Sweden 0 1000 t 2023 flat
1 Eswatini 0 1000 t 2023 flat
1 Seychelles 0 1000 t 2023 flat
1 Tajikistan 0 1000 t 2023 flat
1 Turkmenistan 0 1000 t 2023 flat
1 Tonga 0 1000 t 2023 flat
1 Trinidad and Tobago 0 1000 t 2023 flat
1 Tunisia 0 1000 t 2023 flat
1 Uganda 0 1000 t 2023 volatile
1 Ukraine 0 1000 t 2023 flat
1 Uruguay 0 1000 t 2023 flat
1 Uzbekistan 0 1000 t 2023 flat
1 Saint Vincent and the Grenadines 0 1000 t 2023 flat
1 Vanuatu 0 1000 t 2023 flat
1 Samoa 0 1000 t 2023 flat
1 Yemen 0 1000 t 2023 flat
1 Zambia 0 1000 t 2023 flat
1 Zimbabwe 0 1000 t 2023 flat
1 Micronesia 0 1000 t 2023 flat
1 Timor-Leste 0 1000 t 2023 flat
1 Cabo Verde 0 1000 t 2023 flat
1 Melanesia 0 1000 t 2023 flat
1 Polynesia 0 1000 t 2023 flat
1 Democratic Republic of the Congo 0 1000 t 2023 flat
1 Bolivia (Plurinational State of) 0 1000 t 2023 flat
1 China, Hong Kong SAR 0 1000 t 2023 volatile
1 Iran (Islamic Republic of) 0 1000 t 2023 volatile
1 Republic of Korea 0 1000 t 2023 up 100.0% rising
1 Republic of Moldova 0 1000 t 2023 flat
1 Russian Federation 0 1000 t 2023 flat
1 Syrian Arab Republic 0 1000 t 2023 flat
1 Venezuela (Bolivarian Republic of) 0 1000 t 2023 flat
1 Viet Nam 0 1000 t 2023 flat
1 Türkiye 0 1000 t 2023 flat
1 China, mainland 0 1000 t 2023 flat
1 Côte d'Ivoire 0 1000 t 2023 flat
1 Lao People's Democratic Republic 0 1000 t 2023 flat
1 United Republic of Tanzania 0 1000 t 2023 flat
1 China, Taiwan Province of 0 1000 t 2023 flat
1 United Kingdom of Great Britain and Northern Ireland 0 1000 t 2023 flat
1 Democratic People's Republic of Korea 0 1000 t 2018 flat
1 China, Macao SAR 0 1000 t 2023 flat
159 Estonia -1 1000 t 2023 unchanged volatile
159 Portugal -1 1000 t 2023 volatile
161 Argentina -2 1000 t 2023 up 91.7% volatile
161 Belarus -2 1000 t 2023 down 100.0% falling
163 Croatia -4 1000 t 2023 up 42.9% rising
164 Ghana -5 1000 t 2023 volatile
164 Indonesia -5 1000 t 2023 volatile
166 Chile -10 1000 t 2023 up 44.4% flat
167 Brazil -13 1000 t 2023 volatile
168 Poland -16 1000 t 2023 down 128.6% volatile
168 Rwanda -16 1000 t 2023 volatile
170 Denmark -19 1000 t 2023 up 17.4% falling
171 Thailand -20 1000 t 2023 volatile
172 Switzerland -31 1000 t 2023 up 16.2% falling
173 Spain -41 1000 t 2023 down 13.9% falling
174 Mexico -48 1000 t 2023 down 6.7% falling
175 Germany -76 1000 t 2023 down 137.5% volatile
176 New Zealand -78 1000 t 2023 down 90.2% falling
176 Australia and New Zealand -78 1000 t 2023 down 90.2% falling
178 Ireland -85 1000 t 2023 up 19.0% rising
179 France -126 1000 t 2023 down 40.0% falling
180 Netherlands (Kingdom of the) -140 1000 t 2023 up 7.3% falling

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 — Residuals
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
211 places, 2,879 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.