Infant food — Food 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...
What the numbers show
Infant food — Food is currently reported for 171 countries. The highest value is 225 1000 t in China; the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 1 1000 t, and the mean is 6.58 1000 t.
Over the past decade 38 countries rose and 34 fell. The largest increase was in Uzbekistan (up 800.0%), and the largest decrease in Australia (down 100.0%).
Infant food — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 225 1000 t | 2023 | up 108.3% | rising |
| 2 | China, mainland | 213 1000 t | 2023 | up 119.6% | rising |
| 3 | Venezuela (Bolivarian Republic of) | 72 1000 t | 2023 | up 140.0% | volatile |
| 4 | Malaysia | 70 1000 t | 2023 | up 48.9% | rising |
| 5 | Saudi Arabia | 55 1000 t | 2023 | up 89.7% | rising |
| 6 | Italy | 41 1000 t | 2023 | down 12.8% | falling |
| 7 | United Kingdom of Great Britain and Northern Ireland | 27 1000 t | 2023 | down 71.6% | falling |
| 8 | Canada | 25 1000 t | 2023 | up 19.0% | rising |
| 8 | Iraq | 25 1000 t | 2023 | up 525.0% | volatile |
| 10 | Algeria | 24 1000 t | 2023 | up 14.3% | flat |
| 12 | Türkiye | 18 1000 t | 2023 | up 38.5% | rising |
| 13 | Dominican Republic | 16 1000 t | 2023 | up 45.5% | rising |
| 14 | Viet Nam | 15 1000 t | 2023 | up 36.4% | volatile |
| 15 | Greece | 13 1000 t | 2023 | down 27.8% | falling |
| 15 | Russian Federation | 13 1000 t | 2023 | down 59.4% | falling |
| 17 | China, Taiwan Province of | 10 1000 t | 2023 | up 42.9% | rising |
| 18 | Egypt | 9 1000 t | 2023 | down 35.7% | rising |
| 18 | Uzbekistan | 9 1000 t | 2023 | up 800.0% | volatile |
| 20 | Colombia | 8 1000 t | 2023 | unchanged | rising |
| 20 | Kazakhstan | 8 1000 t | 2023 | up 60.0% | rising |
| 20 | Libya | 8 1000 t | 2023 | up 14.3% | rising |
| 20 | Nigeria | 8 1000 t | 2023 | up 33.3% | rising |
| 20 | Yemen | 8 1000 t | 2023 | up 166.7% | volatile |
| 25 | Cameroon | 6 1000 t | 2023 | up 100.0% | rising |
| 25 | Guatemala | 6 1000 t | 2023 | unchanged | rising |
| 25 | Morocco | 6 1000 t | 2023 | unchanged | rising |
| 25 | Nicaragua | 6 1000 t | 2023 | down 14.3% | flat |
| 29 | Bangladesh | 5 1000 t | 2023 | up 25.0% | rising |
| 29 | Honduras | 5 1000 t | 2023 | up 25.0% | volatile |
| 29 | Kenya | 5 1000 t | 2023 | — | volatile |
| 29 | Cambodia | 5 1000 t | 2023 | up 150.0% | volatile |
| 29 | Mozambique | 5 1000 t | 2023 | up 400.0% | volatile |
| 29 | Pakistan | 5 1000 t | 2023 | down 16.7% | rising |
| 29 | Peru | 5 1000 t | 2023 | down 28.6% | flat |
| 29 | Côte d'Ivoire | 5 1000 t | 2023 | up 66.7% | rising |
| 37 | Ecuador | 4 1000 t | 2023 | down 20.0% | rising |
| 37 | Finland | 4 1000 t | 2023 | down 33.3% | falling |
| 37 | Israel | 4 1000 t | 2023 | — | volatile |
| 37 | Jordan | 4 1000 t | 2023 | up 100.0% | volatile |
| 37 | Kuwait | 4 1000 t | 2023 | down 33.3% | falling |
| 37 | Senegal | 4 1000 t | 2023 | up 300.0% | volatile |
| 37 | Bolivia (Plurinational State of) | 4 1000 t | 2023 | up 33.3% | rising |
| 44 | Angola | 3 1000 t | 2023 | down 25.0% | volatile |
| 44 | United Arab Emirates | 3 1000 t | 2023 | unchanged | rising |
| 44 | Azerbaijan | 3 1000 t | 2023 | up 50.0% | rising |
| 44 | Czechia | 3 1000 t | 2023 | down 62.5% | falling |
| 44 | Gabon | 3 1000 t | 2023 | up 50.0% | rising |
| 44 | Lebanon | 3 1000 t | 2023 | down 50.0% | falling |
| 44 | Myanmar | 3 1000 t | 2023 | up 200.0% | volatile |
| 44 | Panama | 3 1000 t | 2023 | down 50.0% | falling |
| 44 | Romania | 3 1000 t | 2023 | down 25.0% | falling |
| 44 | El Salvador | 3 1000 t | 2023 | down 25.0% | falling |
| 44 | Sweden | 3 1000 t | 2023 | up 50.0% | flat |
| 44 | Ukraine | 3 1000 t | 2023 | down 50.0% | falling |
| 44 | Syrian Arab Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 57 | Afghanistan | 2 1000 t | 2023 | unchanged | falling |
| 57 | Bulgaria | 2 1000 t | 2023 | up 100.0% | rising |
| 57 | Congo | 2 1000 t | 2023 | unchanged | falling |
| 57 | Ethiopia | 2 1000 t | 2023 | down 33.3% | rising |
| 57 | Guinea | 2 1000 t | 2023 | up 100.0% | volatile |
| 57 | Jamaica | 2 1000 t | 2023 | unchanged | flat |
| 57 | Sri Lanka | 2 1000 t | 2023 | up 100.0% | rising |
| 57 | Norway | 2 1000 t | 2023 | unchanged | flat |
| 57 | Oman | 2 1000 t | 2023 | unchanged | rising |
| 57 | Qatar | 2 1000 t | 2023 | — | flat |
| 57 | Sierra Leone | 2 1000 t | 2023 | up 100.0% | volatile |
| 57 | Suriname | 2 1000 t | 2023 | — | volatile |
| 57 | Slovakia | 2 1000 t | 2023 | unchanged | falling |
| 57 | Tajikistan | 2 1000 t | 2023 | up 100.0% | rising |
| 57 | Tunisia | 2 1000 t | 2023 | unchanged | falling |
| 57 | Democratic Republic of the Congo | 2 1000 t | 2023 | up 100.0% | rising |
| 57 | Lao People's Democratic Republic | 2 1000 t | 2023 | up 100.0% | volatile |
| 57 | China, Macao SAR | 2 1000 t | 2023 | down 33.3% | volatile |
| 75 | Albania | 1 1000 t | 2023 | — | volatile |
| 75 | Armenia | 1 1000 t | 2023 | — | volatile |
| 75 | Burkina Faso | 1 1000 t | 2023 | unchanged | volatile |
| 75 | Bahrain | 1 1000 t | 2023 | — | flat |
| 75 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | flat |
| 75 | Botswana | 1 1000 t | 2023 | — | volatile |
| 75 | Costa Rica | 1 1000 t | 2023 | down 50.0% | falling |
| 75 | Cyprus | 1 1000 t | 2023 | unchanged | falling |
| 75 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 75 | Georgia | 1 1000 t | 2023 | unchanged | rising |
| 75 | Gambia | 1 1000 t | 2023 | — | volatile |
| 75 | Guyana | 1 1000 t | 2023 | — | volatile |
| 75 | Haiti | 1 1000 t | 2023 | unchanged | flat |
| 75 | Hungary | 1 1000 t | 2023 | — | volatile |
| 75 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | flat |
| 75 | Liberia | 1 1000 t | 2023 | unchanged | flat |
| 75 | Lithuania | 1 1000 t | 2023 | unchanged | flat |
| 75 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 75 | Latvia | 1 1000 t | 2023 | unchanged | falling |
| 75 | Madagascar | 1 1000 t | 2023 | — | volatile |
| 75 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 75 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 75 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 75 | Namibia | 1 1000 t | 2023 | — | volatile |
| 75 | Niger | 1 1000 t | 2023 | down 50.0% | volatile |
| 75 | Nepal | 1 1000 t | 2023 | unchanged | flat |
| 75 | Philippines | 1 1000 t | 2023 | unchanged | volatile |
| 75 | Papua New Guinea | 1 1000 t | 2023 | — | volatile |
| 75 | Paraguay | 1 1000 t | 2023 | down 50.0% | falling |
| 75 | Trinidad and Tobago | 1 1000 t | 2023 | down 66.7% | falling |
| 75 | Uganda | 1 1000 t | 2023 | — | volatile |
| 75 | Uruguay | 1 1000 t | 2023 | unchanged | flat |
| 75 | Zambia | 1 1000 t | 2023 | unchanged | rising |
| 75 | Cabo Verde | 1 1000 t | 2023 | unchanged | flat |
| 75 | Melanesia | 1 1000 t | 2023 | unchanged | flat |
| 75 | Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 75 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | volatile |
| 75 | Republic of Moldova | 1 1000 t | 2023 | unchanged | flat |
| 113 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 113 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Austria | 0 1000 t | 2023 | — | volatile |
| 113 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Belarus | 0 1000 t | 2023 | — | flat |
| 113 | Belize | 0 1000 t | 2023 | — | volatile |
| 113 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Barbados | 0 1000 t | 2023 | — | flat |
| 113 | Bhutan | 0 1000 t | 2023 | — | flat |
| 113 | Switzerland | 0 1000 t | 2023 | — | flat |
| 113 | Chile | 0 1000 t | 2023 | — | flat |
| 113 | Comoros | 0 1000 t | 2023 | — | flat |
| 113 | Cuba | 0 1000 t | 2019 | — | volatile |
| 113 | Germany | 0 1000 t | 2023 | — | flat |
| 113 | Denmark | 0 1000 t | 2023 | — | flat |
| 113 | Estonia | 0 1000 t | 2023 | — | flat |
| 113 | Fiji | 0 1000 t | 2023 | — | flat |
| 113 | France | 0 1000 t | 2023 | — | flat |
| 113 | Ghana | 0 1000 t | 2023 | — | volatile |
| 113 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 113 | Grenada | 0 1000 t | 2023 | — | flat |
| 113 | Indonesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | India | 0 1000 t | 2023 | — | flat |
| 113 | Iceland | 0 1000 t | 2023 | — | flat |
| 113 | Kiribati | 0 1000 t | 2023 | — | flat |
| 113 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 113 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 113 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 113 | Maldives | 0 1000 t | 2023 | — | flat |
| 113 | Mexico | 0 1000 t | 2023 | — | flat |
| 113 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 113 | Malta | 0 1000 t | 2023 | — | flat |
| 113 | Montenegro | 0 1000 t | 2023 | — | flat |
| 113 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 113 | Malawi | 0 1000 t | 2023 | — | volatile |
| 113 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 113 | Nauru | 0 1000 t | 2023 | — | flat |
| 113 | Poland | 0 1000 t | 2023 | — | flat |
| 113 | Portugal | 0 1000 t | 2023 | — | flat |
| 113 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 113 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 113 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 113 | Serbia | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 113 | Slovenia | 0 1000 t | 2023 | — | flat |
| 113 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Seychelles | 0 1000 t | 2023 | — | flat |
| 113 | Thailand | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Tonga | 0 1000 t | 2023 | — | flat |
| 113 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 113 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 113 | Samoa | 0 1000 t | 2023 | — | flat |
| 113 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 113 | Micronesia | 0 1000 t | 2023 | — | flat |
| 113 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 113 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 113 | Australia and New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 113 | Democratic People's Republic of Korea | 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.
- World 909 1000 t
- Asia 495 1000 t
- Eastern Asia 226 1000 t
- Net Food Importing Developing Countries (NFIDCs) 213 1000 t
- Americas 170 1000 t
- Western Asia 137 1000 t
- Europe 125 1000 t
- Africa 118 1000 t
- South America 97 1000 t
- South-Eastern Asia 97 1000 t
- Low Income Food Deficit Countries (LIFDCs) 77 1000 t
- Caribbean 20 1000 t
About this data
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.