Infant food — Import 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...
Countries reporting
165
Highest
252 1000 t
China
Lowest
0 1000 t
United Republic of Tanzania
Median
3 1000 t
Years covered
14
2010–2023
Data points
3,019
What the numbers show
Infant food — Import quantity is currently reported for 165 countries. The highest value is 252 1000 t in China; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 3 1000 t, and the mean is 10.44 1000 t.
Over the past decade 54 countries rose and 45 fell. The largest increase was in United States (up 1,450.0%), and the largest decrease in Bahamas (down 100.0%).
Infant food — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 252 1000 t | 2023 | up 88.1% | rising |
| 2 | China, mainland | 238 1000 t | 2023 | up 95.1% | rising |
| 3 | Malaysia | 79 1000 t | 2023 | up 2.6% | rising |
| 4 | Venezuela (Bolivarian Republic of) | 72 1000 t | 2023 | up 213.0% | volatile |
| 5 | Saudi Arabia | 61 1000 t | 2023 | up 103.3% | rising |
| 6 | Italy | 45 1000 t | 2023 | down 4.3% | falling |
| 7 | Poland | 40 1000 t | 2023 | up 263.6% | volatile |
| 8 | France | 39 1000 t | 2023 | down 11.4% | rising |
| 9 | United Kingdom | 35 1000 t | 2023 | down 65.3% | falling |
| 9 | United Kingdom of Great Britain and Northern Ireland | 35 1000 t | 2023 | down 65.3% | falling |
| 11 | United States | 31 1000 t | 2023 | up 1,450.0% | volatile |
| 12 | Germany | 29 1000 t | 2023 | down 21.6% | rising |
| 13 | Netherlands (Kingdom of the) | 28 1000 t | 2023 | up 64.7% | rising |
| 14 | Canada | 26 1000 t | 2023 | unchanged | rising |
| 14 | Algeria | 26 1000 t | 2023 | up 18.2% | rising |
| 16 | Iraq | 25 1000 t | 2023 | up 525.0% | volatile |
| 17 | United Arab Emirates | 24 1000 t | 2023 | up 300.0% | rising |
| 18 | Caribbean | 22 1000 t | 2023 | up 15.8% | rising |
| 19 | Belgium | 20 1000 t | 2023 | up 11.1% | rising |
| 19 | Turkey | 20 1000 t | 2023 | up 33.3% | rising |
| 19 | Türkiye | 20 1000 t | 2023 | up 33.3% | rising |
| 22 | Kenya | 17 1000 t | 2023 | — | volatile |
| 23 | Dominican Republic | 16 1000 t | 2023 | up 45.5% | rising |
| 23 | Spain | 16 1000 t | 2023 | down 30.4% | falling |
| 23 | Australia and New Zealand | 16 1000 t | 2023 | unchanged | rising |
| 26 | Australia | 15 1000 t | 2023 | unchanged | volatile |
| 26 | Uzbekistan | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 26 | Vietnam | 15 1000 t | 2023 | up 36.4% | rising |
| 26 | Viet Nam | 15 1000 t | 2023 | up 36.4% | rising |
| 30 | Greece | 14 1000 t | 2023 | down 30.0% | falling |
| 30 | Russia | 14 1000 t | 2023 | down 69.6% | falling |
| 30 | Russian Federation | 14 1000 t | 2023 | down 69.6% | falling |
| 33 | Egypt | 12 1000 t | 2023 | down 20.0% | rising |
| 33 | Sweden | 12 1000 t | 2023 | up 71.4% | rising |
| 35 | Indonesia | 10 1000 t | 2023 | down 9.1% | rising |
| 35 | Mexico | 10 1000 t | 2023 | up 11.1% | rising |
| 35 | China, Taiwan Province of | 10 1000 t | 2023 | up 11.1% | rising |
| 38 | Philippines | 9 1000 t | 2023 | unchanged | rising |
| 39 | Austria | 8 1000 t | 2023 | up 14.3% | rising |
| 39 | Colombia | 8 1000 t | 2023 | unchanged | rising |
| 39 | Kazakhstan | 8 1000 t | 2023 | up 14.3% | rising |
| 39 | Cambodia | 8 1000 t | 2023 | up 300.0% | volatile |
| 39 | Libya | 8 1000 t | 2023 | unchanged | rising |
| 39 | Nigeria | 8 1000 t | 2023 | up 33.3% | rising |
| 39 | Portugal | 8 1000 t | 2023 | down 38.5% | falling |
| 39 | Yemen | 8 1000 t | 2023 | up 100.0% | volatile |
| 47 | Cameroon | 7 1000 t | 2023 | up 75.0% | rising |
| 47 | Czechia | 7 1000 t | 2023 | down 22.2% | rising |
| 47 | Nicaragua | 7 1000 t | 2023 | down 12.5% | flat |
| 47 | Pakistan | 7 1000 t | 2023 | unchanged | rising |
| 51 | Cote d'Ivoire | 6 1000 t | 2023 | up 100.0% | rising |
| 51 | Guatemala | 6 1000 t | 2023 | unchanged | rising |
| 51 | Morocco | 6 1000 t | 2023 | down 25.0% | rising |
| 51 | Côte d'Ivoire | 6 1000 t | 2023 | up 100.0% | rising |
| 55 | Bangladesh | 5 1000 t | 2023 | unchanged | rising |
| 55 | Honduras | 5 1000 t | 2023 | unchanged | volatile |
| 55 | Jordan | 5 1000 t | 2023 | up 25.0% | rising |
| 55 | Mozambique | 5 1000 t | 2023 | — | volatile |
| 55 | Oman | 5 1000 t | 2023 | up 66.7% | rising |
| 55 | Peru | 5 1000 t | 2023 | down 28.6% | flat |
| 55 | Republic of Korea | 5 1000 t | 2023 | up 66.7% | rising |
| 62 | Ecuador | 4 1000 t | 2023 | down 33.3% | rising |
| 62 | Finland | 4 1000 t | 2023 | down 55.6% | falling |
| 62 | Ireland | 4 1000 t | 2023 | unchanged | volatile |
| 62 | Israel | 4 1000 t | 2023 | up 300.0% | volatile |
| 62 | Kuwait | 4 1000 t | 2023 | down 42.9% | falling |
| 62 | Senegal | 4 1000 t | 2023 | up 300.0% | volatile |
| 62 | Ukraine | 4 1000 t | 2023 | down 50.0% | falling |
| 62 | Bolivia (Plurinational State of) | 4 1000 t | 2023 | up 33.3% | rising |
| 70 | Angola | 3 1000 t | 2023 | down 40.0% | volatile |
| 70 | Azerbaijan | 3 1000 t | 2023 | unchanged | rising |
| 70 | Chile | 3 1000 t | 2023 | unchanged | rising |
| 70 | Denmark | 3 1000 t | 2023 | unchanged | falling |
| 70 | Gabon | 3 1000 t | 2023 | up 50.0% | rising |
| 70 | Hungary | 3 1000 t | 2023 | unchanged | rising |
| 70 | Jamaica | 3 1000 t | 2023 | up 50.0% | rising |
| 70 | Lebanon | 3 1000 t | 2023 | down 50.0% | falling |
| 70 | Myanmar | 3 1000 t | 2023 | up 200.0% | volatile |
| 70 | Panama | 3 1000 t | 2023 | down 50.0% | falling |
| 70 | Romania | 3 1000 t | 2023 | down 40.0% | falling |
| 70 | Sierra Leone | 3 1000 t | 2023 | up 200.0% | volatile |
| 70 | El Salvador | 3 1000 t | 2023 | down 25.0% | flat |
| 70 | Syria | 3 1000 t | 2023 | up 50.0% | rising |
| 70 | Thailand | 3 1000 t | 2023 | down 84.2% | falling |
| 70 | China, Hong Kong SAR | 3 1000 t | 2023 | up 50.0% | volatile |
| 70 | Syrian Arab Republic | 3 1000 t | 2023 | up 50.0% | rising |
| 87 | Afghanistan | 2 1000 t | 2023 | unchanged | falling |
| 87 | Bulgaria | 2 1000 t | 2023 | up 100.0% | rising |
| 87 | Botswana | 2 1000 t | 2023 | — | volatile |
| 87 | Switzerland | 2 1000 t | 2023 | down 33.3% | falling |
| 87 | Congo | 2 1000 t | 2023 | unchanged | falling |
| 87 | Djibouti | 2 1000 t | 2023 | — | volatile |
| 87 | Ethiopia | 2 1000 t | 2023 | down 33.3% | rising |
| 87 | Georgia | 2 1000 t | 2023 | up 100.0% | rising |
| 87 | Ghana | 2 1000 t | 2023 | down 33.3% | falling |
| 87 | Guinea | 2 1000 t | 2023 | up 100.0% | rising |
| 87 | Croatia | 2 1000 t | 2023 | up 100.0% | rising |
| 87 | India | 2 1000 t | 2023 | — | volatile |
| 87 | Laos | 2 1000 t | 2023 | up 100.0% | volatile |
| 87 | Sri Lanka | 2 1000 t | 2023 | unchanged | rising |
| 87 | Lithuania | 2 1000 t | 2023 | up 100.0% | rising |
| 87 | Latvia | 2 1000 t | 2023 | up 100.0% | rising |
| 87 | Namibia | 2 1000 t | 2023 | — | volatile |
| 87 | Norway | 2 1000 t | 2023 | unchanged | falling |
| 87 | Qatar | 2 1000 t | 2023 | — | flat |
| 87 | Serbia | 2 1000 t | 2023 | unchanged | rising |
| 87 | Suriname | 2 1000 t | 2023 | up 100.0% | volatile |
| 87 | Slovakia | 2 1000 t | 2023 | unchanged | falling |
| 87 | Slovenia | 2 1000 t | 2023 | down 33.3% | rising |
| 87 | Tajikistan | 2 1000 t | 2023 | up 100.0% | rising |
| 87 | Tunisia | 2 1000 t | 2023 | down 33.3% | falling |
| 87 | South Africa | 2 1000 t | 2023 | unchanged | falling |
| 87 | Democratic Republic of the Congo | 2 1000 t | 2023 | up 100.0% | rising |
| 87 | Iran (Islamic Republic of) | 2 1000 t | 2023 | down 33.3% | volatile |
| 87 | Lao People's Democratic Republic | 2 1000 t | 2023 | up 100.0% | volatile |
| 87 | China, Macao SAR | 2 1000 t | 2023 | unchanged | volatile |
| 117 | Albania | 1 1000 t | 2023 | — | volatile |
| 117 | Argentina | 1 1000 t | 2023 | unchanged | rising |
| 117 | Armenia | 1 1000 t | 2023 | — | volatile |
| 117 | Burkina Faso | 1 1000 t | 2023 | unchanged | volatile |
| 117 | Bahrain | 1 1000 t | 2023 | — | flat |
| 117 | Bosnia and Herzegovina | 1 1000 t | 2023 | unchanged | flat |
| 117 | Costa Rica | 1 1000 t | 2023 | down 66.7% | falling |
| 117 | Cyprus | 1 1000 t | 2023 | unchanged | falling |
| 117 | Gambia | 1 1000 t | 2023 | — | volatile |
| 117 | Guyana | 1 1000 t | 2023 | — | volatile |
| 117 | Haiti | 1 1000 t | 2023 | unchanged | flat |
| 117 | Kyrgyzstan | 1 1000 t | 2023 | down 50.0% | falling |
| 117 | Liberia | 1 1000 t | 2023 | unchanged | flat |
| 117 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 117 | Moldova | 1 1000 t | 2023 | unchanged | flat |
| 117 | Madagascar | 1 1000 t | 2023 | — | volatile |
| 117 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 117 | Mauritania | 1 1000 t | 2023 | — | volatile |
| 117 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 117 | Niger | 1 1000 t | 2023 | down 66.7% | volatile |
| 117 | Nepal | 1 1000 t | 2023 | unchanged | volatile |
| 117 | New Zealand | 1 1000 t | 2023 | unchanged | volatile |
| 117 | Papua New Guinea | 1 1000 t | 2023 | — | volatile |
| 117 | Paraguay | 1 1000 t | 2023 | down 50.0% | falling |
| 117 | Trinidad and Tobago | 1 1000 t | 2023 | down 75.0% | falling |
| 117 | Uganda | 1 1000 t | 2023 | — | volatile |
| 117 | Uruguay | 1 1000 t | 2023 | unchanged | flat |
| 117 | Zambia | 1 1000 t | 2023 | unchanged | rising |
| 117 | Cabo Verde | 1 1000 t | 2023 | unchanged | rising |
| 117 | Melanesia | 1 1000 t | 2023 | unchanged | flat |
| 117 | Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 117 | Republic of Moldova | 1 1000 t | 2023 | unchanged | flat |
| 149 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 149 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 149 | Belize | 0 1000 t | 2023 | — | volatile |
| 149 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 149 | Cuba | 0 1000 t | 2019 | — | volatile |
| 149 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 149 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 149 | Malawi | 0 1000 t | 2023 | — | volatile |
| 149 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 149 | French Polynesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 149 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 149 | Eswatini | 0 1000 t | 2023 | down 100.0% | volatile |
| 149 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 149 | East Timor | 0 1000 t | 2023 | — | volatile |
| 149 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 149 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 149 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,347 1000 t
- Asia 606 1000 t
- Europe 358 1000 t
- European Union (27) 297 1000 t
- Eastern Asia 258 1000 t
- Net Food Importing Developing Countries (NFIDCs) 245 1000 t
- Americas 215 1000 t
- Western Asia 173 1000 t
- Africa 149 1000 t
- South-Eastern Asia 129 1000 t
- Western Europe 126 1000 t
- South America 101 1000 t
- Low Income Food Deficit Countries (LIFDCs) 101 1000 t
- Southern Europe 90 1000 t
- Eastern Europe 77 1000 t
- Least Developed Countries (LDCs) 72 1000 t
- Northern Europe 65 1000 t
- Northern America 57 1000 t
- Northern Africa 55 1000 t
- Land Locked Developing Countries (LLDCs) 54 1000 t
- Eastern Africa 38 1000 t
- Central America 36 1000 t
- Western Africa 33 1000 t
- United States of America 31 1000 t
- Small island developing States (SIDS) 29 1000 t
- Central Asia 26 1000 t
- Southern Asia 21 1000 t
- Oceania 18 1000 t
- Middle Africa 17 1000 t
- Southern Africa 6 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.