Roots, Other — 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
Roots, Other — Import quantity is currently reported for 176 countries. The highest value is 66 1000 t in Malaysia; 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 1.46 1000 t.
Over the past decade 11 countries rose and 17 fell. The largest increase was in Gabon (up 316.7%), and the largest decrease in Mexico (down 100.0%).
Roots, Other — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Malaysia | 66 1000 t | 2023 | up 127.6% | volatile |
| 2 | Gabon | 25 1000 t | 2023 | up 316.7% | volatile |
| 3 | Saudi Arabia | 16 1000 t | 2023 | up 100.0% | volatile |
| 4 | China | 15 1000 t | 2023 | down 16.7% | falling |
| 5 | Spain | 14 1000 t | 2023 | up 250.0% | rising |
| 5 | Viet Nam | 14 1000 t | 2023 | — | volatile |
| 7 | United Kingdom of Great Britain and Northern Ireland | 10 1000 t | 2023 | up 42.9% | falling |
| 8 | Australia and New Zealand | 9 1000 t | 2023 | down 10.0% | flat |
| 9 | Canada | 8 1000 t | 2023 | up 14.3% | falling |
| 9 | Netherlands (Kingdom of the) | 8 1000 t | 2023 | up 166.7% | rising |
| 11 | United Arab Emirates | 6 1000 t | 2023 | down 53.8% | falling |
| 12 | France | 5 1000 t | 2023 | down 58.3% | falling |
| 12 | New Zealand | 5 1000 t | 2023 | down 28.6% | falling |
| 12 | Philippines | 5 1000 t | 2023 | down 50.0% | volatile |
| 12 | China, mainland | 5 1000 t | 2023 | up 66.7% | volatile |
| 16 | Australia | 4 1000 t | 2023 | up 33.3% | rising |
| 16 | China, Taiwan Province of | 4 1000 t | 2023 | down 50.0% | falling |
| 18 | Belgium | 3 1000 t | 2023 | down 40.0% | volatile |
| 18 | Italy | 3 1000 t | 2023 | up 50.0% | falling |
| 18 | Thailand | 3 1000 t | 2023 | up 200.0% | volatile |
| 18 | China, Hong Kong SAR | 3 1000 t | 2023 | unchanged | falling |
| 18 | China, Macao SAR | 3 1000 t | 2023 | down 25.0% | falling |
| 23 | Kuwait | 2 1000 t | 2023 | unchanged | volatile |
| 23 | Liberia | 2 1000 t | 2023 | — | volatile |
| 23 | Uganda | 2 1000 t | 2023 | — | volatile |
| 23 | Caribbean | 2 1000 t | 2023 | down 60.0% | falling |
| 23 | Republic of Korea | 2 1000 t | 2023 | down 33.3% | rising |
| 28 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 28 | Bahrain | 1 1000 t | 2023 | — | falling |
| 28 | Comoros | 1 1000 t | 2023 | — | volatile |
| 28 | Germany | 1 1000 t | 2023 | unchanged | volatile |
| 28 | Ghana | 1 1000 t | 2023 | — | volatile |
| 28 | Indonesia | 1 1000 t | 2023 | unchanged | volatile |
| 28 | Ireland | 1 1000 t | 2023 | — | volatile |
| 28 | Norway | 1 1000 t | 2023 | unchanged | volatile |
| 28 | Oman | 1 1000 t | 2023 | down 66.7% | volatile |
| 28 | Qatar | 1 1000 t | 2023 | — | flat |
| 28 | Suriname | 1 1000 t | 2023 | unchanged | volatile |
| 28 | Trinidad and Tobago | 1 1000 t | 2023 | down 75.0% | volatile |
| 28 | Lao People's Democratic Republic | 1 1000 t | 2023 | — | volatile |
| 41 | Afghanistan | 0 1000 t | 2023 | — | flat |
| 41 | Angola | 0 1000 t | 2023 | — | volatile |
| 41 | Albania | 0 1000 t | 2023 | — | flat |
| 41 | Argentina | 0 1000 t | 2020 | — | flat |
| 41 | Armenia | 0 1000 t | 2023 | — | flat |
| 41 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 41 | Austria | 0 1000 t | 2023 | — | flat |
| 41 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 41 | Burkina Faso | 0 1000 t | 2023 | — | volatile |
| 41 | Bulgaria | 0 1000 t | 2023 | — | flat |
| 41 | Bahamas | 0 1000 t | 2023 | — | flat |
| 41 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 41 | Belarus | 0 1000 t | 2023 | — | flat |
| 41 | Belize | 0 1000 t | 2023 | — | flat |
| 41 | Brazil | 0 1000 t | 2023 | — | flat |
| 41 | Barbados | 0 1000 t | 2023 | — | flat |
| 41 | Botswana | 0 1000 t | 2023 | — | flat |
| 41 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 41 | Chile | 0 1000 t | 2023 | — | flat |
| 41 | Cameroon | 0 1000 t | 2023 | — | flat |
| 41 | Congo | 0 1000 t | 2023 | — | volatile |
| 41 | Colombia | 0 1000 t | 2023 | — | volatile |
| 41 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 41 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 41 | Czechia | 0 1000 t | 2023 | — | flat |
| 41 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 41 | Denmark | 0 1000 t | 2023 | — | volatile |
| 41 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 41 | Algeria | 0 1000 t | 2023 | — | flat |
| 41 | Ecuador | 0 1000 t | 2023 | — | flat |
| 41 | Egypt | 0 1000 t | 2022 | — | flat |
| 41 | Estonia | 0 1000 t | 2023 | — | flat |
| 41 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 41 | Finland | 0 1000 t | 2023 | — | flat |
| 41 | Fiji | 0 1000 t | 2023 | — | flat |
| 41 | Georgia | 0 1000 t | 2023 | — | flat |
| 41 | Guinea | 0 1000 t | 2023 | — | volatile |
| 41 | Gambia | 0 1000 t | 2023 | — | volatile |
| 41 | Greece | 0 1000 t | 2023 | — | volatile |
| 41 | Grenada | 0 1000 t | 2023 | — | flat |
| 41 | Guatemala | 0 1000 t | 2023 | — | flat |
| 41 | Guyana | 0 1000 t | 2023 | — | flat |
| 41 | Honduras | 0 1000 t | 2023 | — | volatile |
| 41 | Croatia | 0 1000 t | 2023 | — | flat |
| 41 | Haiti | 0 1000 t | 2023 | — | flat |
| 41 | Hungary | 0 1000 t | 2023 | — | flat |
| 41 | India | 0 1000 t | 2023 | — | flat |
| 41 | Iraq | 0 1000 t | 2023 | — | flat |
| 41 | Iceland | 0 1000 t | 2023 | — | flat |
| 41 | Israel | 0 1000 t | 2023 | — | flat |
| 41 | Jamaica | 0 1000 t | 2023 | — | flat |
| 41 | Jordan | 0 1000 t | 2023 | — | flat |
| 41 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 41 | Kenya | 0 1000 t | 2023 | — | volatile |
| 41 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 41 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 41 | Kiribati | 0 1000 t | 2023 | — | flat |
| 41 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 41 | Lebanon | 0 1000 t | 2023 | — | volatile |
| 41 | Libya | 0 1000 t | 2023 | — | flat |
| 41 | Saint Lucia | 0 1000 t | 2022 | — | flat |
| 41 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 41 | Lesotho | 0 1000 t | 2023 | — | flat |
| 41 | Lithuania | 0 1000 t | 2023 | — | flat |
| 41 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 41 | Latvia | 0 1000 t | 2023 | — | flat |
| 41 | Morocco | 0 1000 t | 2023 | — | flat |
| 41 | Madagascar | 0 1000 t | 2023 | — | flat |
| 41 | Maldives | 0 1000 t | 2023 | — | flat |
| 41 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 41 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 41 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 41 | Malta | 0 1000 t | 2023 | — | flat |
| 41 | Myanmar | 0 1000 t | 2022 | — | flat |
| 41 | Montenegro | 0 1000 t | 2023 | — | flat |
| 41 | Mongolia | 0 1000 t | 2023 | — | flat |
| 41 | Mozambique | 0 1000 t | 2023 | — | flat |
| 41 | Mauritania | 0 1000 t | 2022 | — | flat |
| 41 | Mauritius | 0 1000 t | 2023 | — | flat |
| 41 | Malawi | 0 1000 t | 2023 | — | flat |
| 41 | Namibia | 0 1000 t | 2023 | — | flat |
| 41 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 41 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 41 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 41 | Nicaragua | 0 1000 t | 2022 | — | flat |
| 41 | Nepal | 0 1000 t | 2023 | — | flat |
| 41 | Nauru | 0 1000 t | 2023 | — | flat |
| 41 | Pakistan | 0 1000 t | 2021 | — | volatile |
| 41 | Panama | 0 1000 t | 2023 | — | flat |
| 41 | Peru | 0 1000 t | 2023 | — | flat |
| 41 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 41 | Poland | 0 1000 t | 2023 | — | flat |
| 41 | Portugal | 0 1000 t | 2023 | — | flat |
| 41 | Paraguay | 0 1000 t | 2023 | — | flat |
| 41 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 41 | Romania | 0 1000 t | 2023 | — | flat |
| 41 | Rwanda | 0 1000 t | 2022 | — | volatile |
| 41 | Senegal | 0 1000 t | 2023 | — | flat |
| 41 | Solomon Islands | 0 1000 t | 2018 | — | flat |
| 41 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 41 | El Salvador | 0 1000 t | 2023 | — | flat |
| 41 | Serbia | 0 1000 t | 2023 | — | volatile |
| 41 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 41 | Slovakia | 0 1000 t | 2023 | — | flat |
| 41 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 41 | Sweden | 0 1000 t | 2023 | down 100.0% | volatile |
| 41 | Eswatini | 0 1000 t | 2023 | — | flat |
| 41 | Seychelles | 0 1000 t | 2023 | — | flat |
| 41 | Tajikistan | 0 1000 t | 2022 | — | flat |
| 41 | Tonga | 0 1000 t | 2023 | — | flat |
| 41 | Tunisia | 0 1000 t | 2023 | — | flat |
| 41 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 41 | Ukraine | 0 1000 t | 2023 | — | flat |
| 41 | Uruguay | 0 1000 t | 2021 | — | flat |
| 41 | Uzbekistan | 0 1000 t | 2021 | — | flat |
| 41 | Saint Vincent and the Grenadines | 0 1000 t | 2022 | — | flat |
| 41 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 41 | Samoa | 0 1000 t | 2023 | — | volatile |
| 41 | Yemen | 0 1000 t | 2023 | — | flat |
| 41 | Zambia | 0 1000 t | 2023 | — | flat |
| 41 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 41 | Micronesia | 0 1000 t | 2023 | — | flat |
| 41 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 41 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 41 | Melanesia | 0 1000 t | 2023 | — | flat |
| 41 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 41 | Democratic Republic of the Congo | 0 1000 t | 2023 | down 100.0% | volatile |
| 41 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 41 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 41 | Republic of Moldova | 0 1000 t | 2023 | — | flat |
| 41 | Russian Federation | 0 1000 t | 2023 | — | flat |
| 41 | Syrian Arab Republic | 0 1000 t | 2014 | — | flat |
| 41 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2022 | — | flat |
| 41 | Türkiye | 0 1000 t | 2023 | — | flat |
| 41 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 41 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 399 1000 t
- Asia 170 1000 t
- Americas 137 1000 t
- Northern America 133 1000 t
- United States of America 126 1000 t
- South-eastern Asia 90 1000 t
- Eastern Asia 51 1000 t
- Europe 49 1000 t
- European Union (27) 38 1000 t
- Net Food Importing Developing Countries (NFIDCs) 36 1000 t
- Africa 33 1000 t
- Western Asia 27 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.