Infant food — Domestic supply 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...
What the numbers show
Infant food — Domestic supply quantity is currently reported for 166 countries. The highest value is 225 1000 t in China; the lowest is -140 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 1 1000 t, and the mean is 2.44 1000 t.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 57 countries rose and 44 fell. The largest increase was in Uzbekistan (up 800.0%), and the largest decrease in Brazil (down 1,400.0%).
Infant food — Domestic supply quantity: 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 | 27 1000 t | 2023 | down 71.6% | falling |
| 7 | United Kingdom of Great Britain and Northern Ireland | 27 1000 t | 2023 | down 71.6% | falling |
| 9 | Canada | 25 1000 t | 2023 | up 19.0% | rising |
| 9 | Iraq | 25 1000 t | 2023 | up 525.0% | volatile |
| 11 | Algeria | 24 1000 t | 2023 | up 14.3% | flat |
| 12 | Caribbean | 20 1000 t | 2023 | up 11.1% | rising |
| 13 | Turkey | 18 1000 t | 2023 | up 38.5% | rising |
| 13 | Türkiye | 18 1000 t | 2023 | up 38.5% | rising |
| 15 | Dominican Republic | 16 1000 t | 2023 | up 45.5% | rising |
| 16 | Vietnam | 15 1000 t | 2023 | up 36.4% | volatile |
| 16 | Viet Nam | 15 1000 t | 2023 | up 36.4% | volatile |
| 18 | Greece | 13 1000 t | 2023 | down 27.8% | falling |
| 18 | Russia | 13 1000 t | 2023 | down 59.4% | falling |
| 18 | Russian Federation | 13 1000 t | 2023 | down 59.4% | falling |
| 21 | China, Taiwan Province of | 10 1000 t | 2023 | up 42.9% | rising |
| 22 | Egypt | 9 1000 t | 2023 | down 35.7% | flat |
| 22 | Uzbekistan | 9 1000 t | 2023 | up 800.0% | volatile |
| 24 | Colombia | 8 1000 t | 2023 | unchanged | rising |
| 24 | Kazakhstan | 8 1000 t | 2023 | up 60.0% | rising |
| 24 | Libya | 8 1000 t | 2023 | up 14.3% | rising |
| 24 | Nigeria | 8 1000 t | 2023 | up 33.3% | rising |
| 24 | Yemen | 8 1000 t | 2023 | up 166.7% | volatile |
| 29 | Cameroon | 6 1000 t | 2023 | up 100.0% | rising |
| 29 | Guatemala | 6 1000 t | 2023 | unchanged | rising |
| 29 | Morocco | 6 1000 t | 2023 | unchanged | rising |
| 29 | Nicaragua | 6 1000 t | 2023 | down 14.3% | flat |
| 33 | United Arab Emirates | 5 1000 t | 2023 | up 25.0% | rising |
| 33 | Bangladesh | 5 1000 t | 2023 | up 25.0% | rising |
| 33 | Cote d'Ivoire | 5 1000 t | 2023 | up 66.7% | rising |
| 33 | Honduras | 5 1000 t | 2023 | up 25.0% | volatile |
| 33 | Kenya | 5 1000 t | 2023 | — | volatile |
| 33 | Cambodia | 5 1000 t | 2023 | up 150.0% | volatile |
| 33 | Mozambique | 5 1000 t | 2023 | up 400.0% | volatile |
| 33 | Pakistan | 5 1000 t | 2023 | down 16.7% | rising |
| 33 | Peru | 5 1000 t | 2023 | down 28.6% | flat |
| 33 | Côte d'Ivoire | 5 1000 t | 2023 | up 66.7% | rising |
| 43 | Ecuador | 4 1000 t | 2023 | down 20.0% | rising |
| 43 | Finland | 4 1000 t | 2023 | down 33.3% | falling |
| 43 | Israel | 4 1000 t | 2023 | — | volatile |
| 43 | Jordan | 4 1000 t | 2023 | up 100.0% | volatile |
| 43 | Kuwait | 4 1000 t | 2023 | down 33.3% | falling |
| 43 | Senegal | 4 1000 t | 2023 | up 300.0% | volatile |
| 43 | Bolivia (Plurinational State of) | 4 1000 t | 2023 | up 33.3% | rising |
| 50 | Angola | 3 1000 t | 2023 | down 25.0% | volatile |
| 50 | Azerbaijan | 3 1000 t | 2023 | up 50.0% | rising |
| 50 | Czechia | 3 1000 t | 2023 | down 62.5% | falling |
| 50 | Gabon | 3 1000 t | 2023 | up 50.0% | rising |
| 50 | Lebanon | 3 1000 t | 2023 | down 50.0% | falling |
| 50 | Myanmar | 3 1000 t | 2023 | up 200.0% | volatile |
| 50 | Panama | 3 1000 t | 2023 | down 50.0% | falling |
| 50 | Romania | 3 1000 t | 2023 | down 25.0% | falling |
| 50 | El Salvador | 3 1000 t | 2023 | down 25.0% | falling |
| 50 | Sweden | 3 1000 t | 2023 | up 50.0% | flat |
| 50 | Syria | 3 1000 t | 2023 | up 50.0% | rising |
| 50 | Ukraine | 3 1000 t | 2023 | down 50.0% | falling |
| 50 | United States | 3 1000 t | 2023 | up 108.6% | rising |
| 50 | Syrian Arab Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 64 | Afghanistan | 2 1000 t | 2023 | unchanged | falling |
| 64 | Bulgaria | 2 1000 t | 2023 | up 100.0% | rising |
| 64 | Congo | 2 1000 t | 2023 | unchanged | falling |
| 64 | Ethiopia | 2 1000 t | 2023 | down 33.3% | rising |
| 64 | Guinea | 2 1000 t | 2023 | up 100.0% | volatile |
| 64 | Jamaica | 2 1000 t | 2023 | unchanged | flat |
| 64 | Laos | 2 1000 t | 2023 | up 100.0% | volatile |
| 64 | Sri Lanka | 2 1000 t | 2023 | up 100.0% | rising |
| 64 | Norway | 2 1000 t | 2023 | unchanged | flat |
| 64 | Oman | 2 1000 t | 2023 | unchanged | rising |
| 64 | Qatar | 2 1000 t | 2023 | — | flat |
| 64 | Sierra Leone | 2 1000 t | 2023 | up 100.0% | volatile |
| 64 | Suriname | 2 1000 t | 2023 | — | volatile |
| 64 | Slovakia | 2 1000 t | 2023 | unchanged | falling |
| 64 | Tajikistan | 2 1000 t | 2023 | up 100.0% | rising |
| 64 | Tunisia | 2 1000 t | 2023 | unchanged | falling |
| 64 | Democratic Republic of the Congo | 2 1000 t | 2023 | up 100.0% | rising |
| 64 | Lao People's Democratic Republic | 2 1000 t | 2023 | up 100.0% | volatile |
| 64 | China, Macao SAR | 2 1000 t | 2023 | down 33.3% | volatile |
| 83 | Albania | 1 1000 t | 2023 | — | volatile |
| 83 | Armenia | 1 1000 t | 2023 | — | volatile |
| 83 | Burkina Faso | 1 1000 t | 2023 | unchanged | volatile |
| 83 | Bahrain | 1 1000 t | 2023 | — | flat |
| 83 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | flat |
| 83 | Botswana | 1 1000 t | 2023 | — | volatile |
| 83 | Costa Rica | 1 1000 t | 2023 | down 50.0% | falling |
| 83 | Cyprus | 1 1000 t | 2023 | unchanged | falling |
| 83 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 83 | Georgia | 1 1000 t | 2023 | unchanged | rising |
| 83 | Gambia | 1 1000 t | 2023 | — | volatile |
| 83 | Guyana | 1 1000 t | 2023 | — | volatile |
| 83 | Haiti | 1 1000 t | 2023 | unchanged | flat |
| 83 | Hungary | 1 1000 t | 2023 | — | volatile |
| 83 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | flat |
| 83 | Liberia | 1 1000 t | 2023 | unchanged | flat |
| 83 | Lithuania | 1 1000 t | 2023 | unchanged | flat |
| 83 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 83 | Latvia | 1 1000 t | 2023 | unchanged | falling |
| 83 | Moldova | 1 1000 t | 2023 | unchanged | flat |
| 83 | Madagascar | 1 1000 t | 2023 | — | volatile |
| 83 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 83 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 83 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 83 | Namibia | 1 1000 t | 2023 | — | volatile |
| 83 | Niger | 1 1000 t | 2023 | down 50.0% | volatile |
| 83 | Nepal | 1 1000 t | 2023 | unchanged | flat |
| 83 | Philippines | 1 1000 t | 2023 | unchanged | volatile |
| 83 | Papua New Guinea | 1 1000 t | 2023 | — | volatile |
| 83 | Paraguay | 1 1000 t | 2023 | down 50.0% | falling |
| 83 | Trinidad and Tobago | 1 1000 t | 2023 | down 66.7% | falling |
| 83 | Uganda | 1 1000 t | 2023 | — | volatile |
| 83 | Uruguay | 1 1000 t | 2023 | unchanged | flat |
| 83 | Zambia | 1 1000 t | 2023 | unchanged | rising |
| 83 | Cabo Verde | 1 1000 t | 2023 | unchanged | flat |
| 83 | Melanesia | 1 1000 t | 2023 | unchanged | flat |
| 83 | Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 83 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | volatile |
| 83 | Republic of Moldova | 1 1000 t | 2023 | unchanged | flat |
| 122 | Australia | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | Austria | 0 1000 t | 2023 | — | volatile |
| 122 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 122 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | Belize | 0 1000 t | 2023 | — | volatile |
| 122 | Cuba | 0 1000 t | 2019 | — | volatile |
| 122 | India | 0 1000 t | 2023 | up 100.0% | rising |
| 122 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 122 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 122 | Malawi | 0 1000 t | 2023 | — | volatile |
| 122 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 122 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 122 | Serbia | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | Slovenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 122 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 122 | East Timor | 0 1000 t | 2023 | — | volatile |
| 122 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 122 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 122 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 122 | Republic of Korea | 0 1000 t | 2023 | up 100.0% | rising |
| 122 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 170 | Estonia | -1 1000 t | 2023 | unchanged | volatile |
| 170 | Portugal | -1 1000 t | 2023 | — | volatile |
| 172 | Argentina | -2 1000 t | 2023 | up 91.7% | volatile |
| 172 | Belarus | -2 1000 t | 2023 | down 100.0% | falling |
| 174 | Croatia | -4 1000 t | 2023 | up 42.9% | rising |
| 175 | Ghana | -5 1000 t | 2023 | — | volatile |
| 175 | Indonesia | -5 1000 t | 2023 | down 200.0% | volatile |
| 177 | Chile | -10 1000 t | 2023 | up 44.4% | flat |
| 178 | South Africa | -12 1000 t | 2023 | down 1,300.0% | volatile |
| 179 | Brazil | -13 1000 t | 2023 | down 1,400.0% | volatile |
| 180 | Poland | -16 1000 t | 2023 | down 128.6% | volatile |
| 180 | Rwanda | -16 1000 t | 2023 | — | volatile |
| 182 | Denmark | -19 1000 t | 2023 | up 17.4% | falling |
| 183 | Thailand | -20 1000 t | 2023 | down 300.0% | volatile |
| 184 | Switzerland | -31 1000 t | 2023 | up 16.2% | falling |
| 185 | Spain | -41 1000 t | 2023 | down 13.9% | falling |
| 186 | Mexico | -48 1000 t | 2023 | down 6.7% | falling |
| 187 | Germany | -76 1000 t | 2023 | down 137.5% | volatile |
| 188 | New Zealand | -78 1000 t | 2023 | down 90.2% | falling |
| 188 | Australia and New Zealand | -78 1000 t | 2023 | down 169.0% | volatile |
| 190 | Ireland | -85 1000 t | 2023 | up 19.0% | rising |
| 191 | France | -126 1000 t | 2023 | down 40.0% | falling |
| 192 | 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.
- Asia 464 1000 t
- Eastern Asia 218 1000 t
- Net Food Importing Developing Countries (NFIDCs) 197 1000 t
- World 151 1000 t
- Western Asia 139 1000 t
- Americas 97 1000 t
- Africa 85 1000 t
- South America 72 1000 t
- South-Eastern Asia 71 1000 t
- Low Income Food Deficit Countries (LIFDCs) 61 1000 t
- Northern Africa 50 1000 t
- Least Developed Countries (LDCs) 46 1000 t
- Land Locked Developing Countries (LLDCs) 30 1000 t
- Northern America 28 1000 t
- Small island developing States (SIDS) 27 1000 t
- Western Africa 23 1000 t
- Central Asia 21 1000 t
- Middle Africa 17 1000 t
- Southern Asia 14 1000 t
- Southern Europe 11 1000 t
- Eastern Europe 10 1000 t
- Eastern Africa 4 1000 t
- United States of America 3 1000 t
- Southern Africa -9 1000 t
- Central America -23 1000 t
- Northern Europe -67 1000 t
- Oceania -76 1000 t
- Western Europe -372 1000 t
- Europe -419 1000 t
- European Union (27) -434 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.