Cream — 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...
What the numbers show
Cream — Import quantity is currently reported for 158 countries. The highest value is 285 1000 t in China; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 0 1000 t, and the mean is 11.07 1000 t.
Over the past decade 29 countries rose and 21 fell. The largest increase was in China (up 2,750.0%), and the largest decrease in Afghanistan (down 100.0%).
Cream — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 285 1000 t | 2023 | up 2,750.0% | volatile |
| 2 | China, mainland | 264 1000 t | 2023 | — | volatile |
| 3 | Belgium | 185 1000 t | 2023 | up 85.0% | rising |
| 4 | Germany | 160 1000 t | 2023 | down 9.1% | flat |
| 5 | France | 130 1000 t | 2023 | down 4.4% | falling |
| 6 | Netherlands (Kingdom of the) | 120 1000 t | 2023 | up 62.2% | rising |
| 7 | Italy | 85 1000 t | 2023 | up 7.6% | falling |
| 8 | Poland | 84 1000 t | 2023 | up 236.0% | volatile |
| 9 | Denmark | 46 1000 t | 2023 | up 100.0% | rising |
| 10 | Spain | 43 1000 t | 2023 | up 186.7% | volatile |
| 11 | Republic of Korea | 35 1000 t | 2023 | up 218.2% | rising |
| 12 | Greece | 25 1000 t | 2023 | up 4.2% | falling |
| 13 | Slovakia | 21 1000 t | 2023 | up 200.0% | rising |
| 13 | United Kingdom of Great Britain and Northern Ireland | 21 1000 t | 2023 | down 4.5% | falling |
| 15 | Portugal | 17 1000 t | 2023 | up 54.5% | rising |
| 16 | Oman | 15 1000 t | 2022 | — | volatile |
| 17 | Saudi Arabia | 13 1000 t | 2022 | — | volatile |
| 17 | China, Taiwan Province of | 13 1000 t | 2023 | up 85.7% | rising |
| 19 | United Arab Emirates | 12 1000 t | 2023 | up 100.0% | volatile |
| 19 | Czechia | 12 1000 t | 2023 | up 33.3% | falling |
| 21 | Malaysia | 11 1000 t | 2023 | up 450.0% | rising |
| 21 | Romania | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 23 | Hungary | 10 1000 t | 2023 | up 25.0% | flat |
| 24 | Canada | 9 1000 t | 2023 | up 350.0% | volatile |
| 25 | Austria | 8 1000 t | 2023 | down 38.5% | falling |
| 25 | Cambodia | 8 1000 t | 2023 | — | volatile |
| 27 | Bosnia and Herzegovina | 7 1000 t | 2023 | up 133.3% | rising |
| 27 | Ireland | 7 1000 t | 2023 | up 16.7% | volatile |
| 27 | China, Hong Kong SAR | 7 1000 t | 2023 | up 250.0% | rising |
| 27 | Viet Nam | 7 1000 t | 2023 | up 600.0% | volatile |
| 31 | Indonesia | 5 1000 t | 2023 | unchanged | rising |
| 32 | Armenia | 4 1000 t | 2023 | — | volatile |
| 32 | Jordan | 4 1000 t | 2023 | up 33.3% | falling |
| 32 | Luxembourg | 4 1000 t | 2023 | up 100.0% | volatile |
| 32 | Slovenia | 4 1000 t | 2023 | up 100.0% | rising |
| 32 | Thailand | 4 1000 t | 2023 | up 100.0% | rising |
| 37 | Botswana | 3 1000 t | 2023 | — | volatile |
| 37 | Iraq | 3 1000 t | 2023 | down 25.0% | falling |
| 37 | Lebanon | 3 1000 t | 2023 | up 50.0% | flat |
| 37 | Libya | 3 1000 t | 2023 | unchanged | volatile |
| 37 | Lithuania | 3 1000 t | 2023 | up 200.0% | rising |
| 37 | Latvia | 3 1000 t | 2023 | down 50.0% | volatile |
| 37 | Sweden | 3 1000 t | 2023 | down 75.0% | volatile |
| 44 | Switzerland | 2 1000 t | 2023 | unchanged | falling |
| 44 | Estonia | 2 1000 t | 2023 | down 33.3% | volatile |
| 44 | Morocco | 2 1000 t | 2023 | up 100.0% | rising |
| 44 | Melanesia | 2 1000 t | 2023 | unchanged | volatile |
| 48 | Albania | 1 1000 t | 2023 | — | volatile |
| 48 | Belarus | 1 1000 t | 2021 | — | volatile |
| 48 | Georgia | 1 1000 t | 2023 | — | volatile |
| 48 | Kazakhstan | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 48 | Mauritius | 1 1000 t | 2023 | unchanged | rising |
| 48 | New Caledonia | 1 1000 t | 2023 | down 50.0% | falling |
| 48 | New Zealand | 1 1000 t | 2023 | unchanged | rising |
| 48 | Peru | 1 1000 t | 2023 | unchanged | volatile |
| 48 | French Polynesia | 1 1000 t | 2023 | unchanged | rising |
| 48 | Senegal | 1 1000 t | 2023 | — | volatile |
| 48 | Ukraine | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Uruguay | 1 1000 t | 2023 | — | volatile |
| 48 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 48 | Yemen | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 48 | Caribbean | 1 1000 t | 2023 | unchanged | falling |
| 48 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | — | volatile |
| 48 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 48 | Türkiye | 1 1000 t | 2023 | — | volatile |
| 48 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | falling |
| 48 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | volatile |
| 48 | China, Macao SAR | 1 1000 t | 2023 | unchanged | volatile |
| 72 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Antigua and Barbuda | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 72 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 72 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 72 | Bahamas | 0 1000 t | 2021 | — | flat |
| 72 | Belize | 0 1000 t | 2023 | — | volatile |
| 72 | Brazil | 0 1000 t | 2019 | — | flat |
| 72 | Barbados | 0 1000 t | 2019 | — | flat |
| 72 | Chile | 0 1000 t | 2023 | — | flat |
| 72 | Cameroon | 0 1000 t | 2023 | — | flat |
| 72 | Congo | 0 1000 t | 2023 | — | flat |
| 72 | Colombia | 0 1000 t | 2023 | — | flat |
| 72 | Comoros | 0 1000 t | 2023 | — | flat |
| 72 | Cuba | 0 1000 t | 2019 | — | flat |
| 72 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Djibouti | 0 1000 t | 2023 | — | flat |
| 72 | Dominican Republic | 0 1000 t | 2018 | — | volatile |
| 72 | Algeria | 0 1000 t | 2023 | — | flat |
| 72 | Ecuador | 0 1000 t | 2023 | — | flat |
| 72 | Egypt | 0 1000 t | 2023 | — | volatile |
| 72 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 72 | Finland | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Fiji | 0 1000 t | 2023 | — | volatile |
| 72 | Gabon | 0 1000 t | 2023 | — | flat |
| 72 | Ghana | 0 1000 t | 2022 | — | volatile |
| 72 | Guinea | 0 1000 t | 2023 | — | flat |
| 72 | Gambia | 0 1000 t | 2023 | — | volatile |
| 72 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 72 | Grenada | 0 1000 t | 2019 | — | flat |
| 72 | Guyana | 0 1000 t | 2019 | — | flat |
| 72 | Honduras | 0 1000 t | 2023 | — | flat |
| 72 | Croatia | 0 1000 t | 2020 | down 100.0% | volatile |
| 72 | Haiti | 0 1000 t | 2023 | — | flat |
| 72 | Iceland | 0 1000 t | 2023 | — | flat |
| 72 | Jamaica | 0 1000 t | 2023 | — | flat |
| 72 | Kenya | 0 1000 t | 2016 | — | flat |
| 72 | Kiribati | 0 1000 t | 2023 | — | flat |
| 72 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 72 | Kuwait | 0 1000 t | 2019 | down 100.0% | volatile |
| 72 | Liberia | 0 1000 t | 2021 | — | flat |
| 72 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 72 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 72 | Madagascar | 0 1000 t | 2023 | — | flat |
| 72 | Maldives | 0 1000 t | 2023 | — | flat |
| 72 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 72 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 72 | Malta | 0 1000 t | 2023 | — | flat |
| 72 | Montenegro | 0 1000 t | 2019 | — | flat |
| 72 | Mongolia | 0 1000 t | 2023 | — | flat |
| 72 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Malawi | 0 1000 t | 2023 | — | flat |
| 72 | Niger | 0 1000 t | 2022 | — | flat |
| 72 | Nigeria | 0 1000 t | 2023 | — | flat |
| 72 | Nicaragua | 0 1000 t | 2022 | — | flat |
| 72 | Norway | 0 1000 t | 2023 | — | flat |
| 72 | Panama | 0 1000 t | 2023 | — | flat |
| 72 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 72 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 72 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 72 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 72 | El Salvador | 0 1000 t | 2023 | — | flat |
| 72 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 72 | Suriname | 0 1000 t | 2023 | — | flat |
| 72 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 72 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 72 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 72 | Tonga | 0 1000 t | 2023 | — | flat |
| 72 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 72 | Tunisia | 0 1000 t | 2023 | — | flat |
| 72 | Uganda | 0 1000 t | 2023 | — | volatile |
| 72 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 72 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 72 | Samoa | 0 1000 t | 2023 | — | volatile |
| 72 | Zambia | 0 1000 t | 2016 | — | flat |
| 72 | Micronesia | 0 1000 t | 2023 | — | flat |
| 72 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 72 | Cabo Verde | 0 1000 t | 2016 | — | flat |
| 72 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 72 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 72 | Republic of Moldova | 0 1000 t | 2014 | — | volatile |
| 72 | Russian Federation | 0 1000 t | 2023 | down 100.0% | rising |
| 72 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 72 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,455 1000 t
- Europe 1,013 1000 t
- European Union (27) 982 1000 t
- Western Europe 606 1000 t
- Asia 390 1000 t
- Eastern Asia 321 1000 t
- Southern Europe 182 1000 t
- Eastern Europe 139 1000 t
- Northern Europe 86 1000 t
- Net Food Importing Developing Countries (NFIDCs) 38 1000 t
- South-eastern Asia 35 1000 t
- Western Asia 31 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.