Oats — 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
181
Highest
553 1000 t
China
Lowest
0 1000 t
Democratic People's Republic of Korea
Median
2 1000 t
Years covered
14
2010–2023
Data points
2,850
What the numbers show
Oats — Import quantity is currently reported for 181 countries. The highest value is 553 1000 t in China; the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 2 1000 t, and the mean is 23.92 1000 t.
Over the past decade 76 countries rose and 12 fell. The largest increase was in Sri Lanka (up 1,900.0%), and the largest decrease in Bahamas (down 100.0%).
Oats — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 553 1000 t | 2023 | up 259.1% | rising |
| 2 | Germany | 527 1000 t | 2023 | up 63.2% | rising |
| 3 | China, mainland | 496 1000 t | 2023 | up 433.3% | volatile |
| 4 | Netherlands (Kingdom of the) | 318 1000 t | 2023 | up 329.7% | volatile |
| 5 | Spain | 255 1000 t | 2023 | up 193.1% | rising |
| 6 | Belgium | 192 1000 t | 2023 | up 108.7% | rising |
| 7 | India | 135 1000 t | 2023 | up 164.7% | rising |
| 8 | Chile | 100 1000 t | 2023 | — | volatile |
| 9 | Peru | 92 1000 t | 2023 | up 155.6% | rising |
| 10 | Colombia | 81 1000 t | 2023 | up 1,250.0% | volatile |
| 11 | France | 77 1000 t | 2023 | up 60.4% | rising |
| 12 | Italy | 65 1000 t | 2023 | up 58.5% | rising |
| 13 | Denmark | 58 1000 t | 2023 | up 11.5% | falling |
| 13 | Poland | 58 1000 t | 2023 | up 61.1% | rising |
| 15 | Malaysia | 56 1000 t | 2023 | up 7.7% | rising |
| 16 | Mexico | 53 1000 t | 2023 | down 72.1% | falling |
| 17 | Ecuador | 52 1000 t | 2023 | up 26.8% | rising |
| 18 | Switzerland | 50 1000 t | 2023 | unchanged | rising |
| 19 | Guatemala | 47 1000 t | 2023 | up 95.8% | rising |
| 20 | Latvia | 45 1000 t | 2023 | up 462.5% | volatile |
| 20 | Venezuela (Bolivarian Republic of) | 45 1000 t | 2023 | down 39.2% | volatile |
| 22 | Canada | 42 1000 t | 2023 | down 10.6% | falling |
| 23 | China, Taiwan Province of | 41 1000 t | 2023 | up 7.9% | rising |
| 24 | United Arab Emirates | 39 1000 t | 2023 | up 116.7% | rising |
| 25 | Caribbean | 37 1000 t | 2023 | up 311.1% | volatile |
| 26 | Portugal | 35 1000 t | 2023 | up 29.6% | rising |
| 27 | Czechia | 33 1000 t | 2023 | up 13.8% | rising |
| 27 | Republic of Korea | 33 1000 t | 2023 | up 560.0% | volatile |
| 29 | Austria | 26 1000 t | 2023 | up 44.4% | rising |
| 30 | Philippines | 25 1000 t | 2023 | up 13.6% | rising |
| 31 | Norway | 24 1000 t | 2023 | down 46.7% | volatile |
| 31 | Saudi Arabia | 24 1000 t | 2023 | up 26.3% | rising |
| 31 | Uruguay | 24 1000 t | 2023 | up 200.0% | volatile |
| 34 | Dominican Republic | 23 1000 t | 2023 | — | volatile |
| 34 | Morocco | 23 1000 t | 2023 | — | volatile |
| 34 | United Kingdom of Great Britain and Northern Ireland | 23 1000 t | 2023 | down 77.5% | falling |
| 37 | Greece | 21 1000 t | 2023 | up 50.0% | rising |
| 38 | Indonesia | 20 1000 t | 2023 | up 100.0% | rising |
| 38 | Sri Lanka | 20 1000 t | 2023 | up 1,900.0% | volatile |
| 38 | Nicaragua | 20 1000 t | 2023 | up 42.9% | rising |
| 41 | Mongolia | 19 1000 t | 2023 | up 375.0% | volatile |
| 42 | Kazakhstan | 18 1000 t | 2023 | up 200.0% | rising |
| 43 | Australia and New Zealand | 17 1000 t | 2023 | up 54.5% | rising |
| 44 | Costa Rica | 15 1000 t | 2023 | up 50.0% | rising |
| 44 | Israel | 15 1000 t | 2023 | up 50.0% | rising |
| 44 | New Zealand | 15 1000 t | 2023 | up 50.0% | rising |
| 44 | China, Hong Kong SAR | 15 1000 t | 2023 | down 34.8% | falling |
| 48 | Ghana | 14 1000 t | 2023 | up 133.3% | volatile |
| 48 | Lithuania | 14 1000 t | 2023 | up 100.0% | rising |
| 48 | Romania | 14 1000 t | 2023 | up 250.0% | volatile |
| 51 | Hungary | 12 1000 t | 2023 | up 140.0% | rising |
| 52 | Argentina | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 52 | Viet Nam | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 54 | Nigeria | 10 1000 t | 2023 | up 100.0% | rising |
| 54 | Serbia | 10 1000 t | 2023 | up 233.3% | volatile |
| 56 | Algeria | 9 1000 t | 2023 | up 12.5% | volatile |
| 57 | Cuba | 8 1000 t | 2019 | up 700.0% | volatile |
| 57 | Djibouti | 8 1000 t | 2023 | — | volatile |
| 57 | Estonia | 8 1000 t | 2023 | up 60.0% | rising |
| 57 | Georgia | 8 1000 t | 2023 | up 60.0% | rising |
| 57 | Jamaica | 8 1000 t | 2023 | up 60.0% | rising |
| 57 | Panama | 8 1000 t | 2023 | up 33.3% | rising |
| 63 | Honduras | 7 1000 t | 2023 | up 16.7% | falling |
| 63 | Ireland | 7 1000 t | 2023 | up 16.7% | rising |
| 63 | Sweden | 7 1000 t | 2023 | unchanged | volatile |
| 63 | Uzbekistan | 7 1000 t | 2023 | up 250.0% | rising |
| 63 | Côte d'Ivoire | 7 1000 t | 2023 | up 133.3% | rising |
| 68 | Oman | 6 1000 t | 2023 | up 200.0% | rising |
| 68 | Slovakia | 6 1000 t | 2023 | up 200.0% | rising |
| 68 | Thailand | 6 1000 t | 2023 | up 500.0% | volatile |
| 71 | Bulgaria | 5 1000 t | 2023 | up 150.0% | rising |
| 71 | Croatia | 5 1000 t | 2023 | up 150.0% | rising |
| 71 | North Macedonia | 5 1000 t | 2023 | up 66.7% | rising |
| 71 | Republic of Moldova | 5 1000 t | 2023 | up 66.7% | rising |
| 71 | Türkiye | 5 1000 t | 2023 | up 400.0% | volatile |
| 76 | Angola | 4 1000 t | 2023 | — | volatile |
| 76 | Azerbaijan | 4 1000 t | 2023 | up 100.0% | rising |
| 76 | Bosnia and Herzegovina | 4 1000 t | 2023 | up 100.0% | rising |
| 76 | Pakistan | 4 1000 t | 2023 | up 300.0% | volatile |
| 76 | Slovenia | 4 1000 t | 2023 | up 33.3% | rising |
| 76 | Bolivia (Plurinational State of) | 4 1000 t | 2023 | unchanged | volatile |
| 76 | Russian Federation | 4 1000 t | 2023 | down 81.8% | volatile |
| 83 | Iraq | 3 1000 t | 2023 | — | volatile |
| 83 | Libya | 3 1000 t | 2023 | up 200.0% | volatile |
| 83 | Qatar | 3 1000 t | 2023 | — | rising |
| 83 | Senegal | 3 1000 t | 2023 | — | volatile |
| 83 | El Salvador | 3 1000 t | 2023 | up 50.0% | rising |
| 83 | Trinidad and Tobago | 3 1000 t | 2023 | up 200.0% | volatile |
| 83 | Iran (Islamic Republic of) | 3 1000 t | 2023 | — | volatile |
| 90 | Afghanistan | 2 1000 t | 2023 | — | volatile |
| 90 | Armenia | 2 1000 t | 2023 | up 100.0% | rising |
| 90 | Australia | 2 1000 t | 2023 | up 100.0% | volatile |
| 90 | Egypt | 2 1000 t | 2023 | up 100.0% | rising |
| 90 | Ethiopia | 2 1000 t | 2023 | up 100.0% | volatile |
| 90 | Iceland | 2 1000 t | 2023 | unchanged | rising |
| 90 | Kenya | 2 1000 t | 2023 | — | volatile |
| 90 | Kuwait | 2 1000 t | 2023 | unchanged | volatile |
| 90 | Namibia | 2 1000 t | 2023 | up 100.0% | volatile |
| 90 | Nepal | 2 1000 t | 2023 | — | volatile |
| 90 | Paraguay | 2 1000 t | 2023 | up 100.0% | rising |
| 90 | Tunisia | 2 1000 t | 2023 | — | volatile |
| 90 | Yemen | 2 1000 t | 2023 | unchanged | volatile |
| 103 | Albania | 1 1000 t | 2023 | unchanged | volatile |
| 103 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 103 | Bahrain | 1 1000 t | 2023 | — | flat |
| 103 | Belize | 1 1000 t | 2023 | unchanged | rising |
| 103 | Barbados | 1 1000 t | 2023 | — | volatile |
| 103 | Botswana | 1 1000 t | 2023 | — | volatile |
| 103 | Congo | 1 1000 t | 2023 | unchanged | volatile |
| 103 | Cyprus | 1 1000 t | 2023 | unchanged | rising |
| 103 | Finland | 1 1000 t | 2023 | down 66.7% | volatile |
| 103 | Fiji | 1 1000 t | 2023 | unchanged | rising |
| 103 | Jordan | 1 1000 t | 2023 | — | volatile |
| 103 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | rising |
| 103 | Lebanon | 1 1000 t | 2023 | unchanged | volatile |
| 103 | Liberia | 1 1000 t | 2023 | unchanged | rising |
| 103 | Luxembourg | 1 1000 t | 2023 | unchanged | volatile |
| 103 | Malta | 1 1000 t | 2023 | unchanged | rising |
| 103 | Montenegro | 1 1000 t | 2023 | — | volatile |
| 103 | Mauritius | 1 1000 t | 2023 | unchanged | volatile |
| 103 | Zambia | 1 1000 t | 2023 | unchanged | volatile |
| 103 | Melanesia | 1 1000 t | 2023 | unchanged | flat |
| 103 | Democratic Republic of the Congo | 1 1000 t | 2023 | down 50.0% | volatile |
| 103 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 125 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 125 | Burkina Faso | 0 1000 t | 2022 | — | flat |
| 125 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Belarus | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Brazil | 0 1000 t | 2023 | — | volatile |
| 125 | Bhutan | 0 1000 t | 2023 | — | flat |
| 125 | Cameroon | 0 1000 t | 2023 | — | flat |
| 125 | Comoros | 0 1000 t | 2023 | — | flat |
| 125 | Gabon | 0 1000 t | 2023 | — | flat |
| 125 | Guinea | 0 1000 t | 2023 | — | flat |
| 125 | Gambia | 0 1000 t | 2023 | — | flat |
| 125 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 125 | Grenada | 0 1000 t | 2023 | — | flat |
| 125 | Guyana | 0 1000 t | 2023 | — | volatile |
| 125 | Haiti | 0 1000 t | 2023 | — | volatile |
| 125 | Cambodia | 0 1000 t | 2023 | — | flat |
| 125 | Kiribati | 0 1000 t | 2023 | — | flat |
| 125 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 125 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 125 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 125 | Madagascar | 0 1000 t | 2023 | — | flat |
| 125 | Maldives | 0 1000 t | 2023 | — | volatile |
| 125 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 125 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 125 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 125 | Mauritania | 0 1000 t | 2023 | — | flat |
| 125 | Malawi | 0 1000 t | 2023 | — | flat |
| 125 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 125 | Niger | 0 1000 t | 2023 | — | flat |
| 125 | Nauru | 0 1000 t | 2023 | — | flat |
| 125 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 125 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 125 | Rwanda | 0 1000 t | 2023 | — | flat |
| 125 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 125 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 125 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 125 | Suriname | 0 1000 t | 2023 | — | flat |
| 125 | Eswatini | 0 1000 t | 2023 | — | flat |
| 125 | Seychelles | 0 1000 t | 2023 | — | flat |
| 125 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 125 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 125 | Tonga | 0 1000 t | 2023 | — | flat |
| 125 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 125 | Uganda | 0 1000 t | 2023 | — | volatile |
| 125 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 125 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 125 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 125 | Samoa | 0 1000 t | 2023 | — | flat |
| 125 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 125 | Micronesia | 0 1000 t | 2023 | — | flat |
| 125 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 125 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 125 | Polynesia | 0 1000 t | 2023 | — | flat |
| 125 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 125 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 125 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 125 | 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 6,124 1000 t
- Americas 2,894 1000 t
- Northern America 2,291 1000 t
- United States of America 2,249 1000 t
- Europe 1,923 1000 t
- European Union (27) 1,796 1000 t
- Western Europe 1,192 1000 t
- Asia 1,129 1000 t
- Eastern Asia 697 1000 t
- South America 412 1000 t
- Southern Europe 405 1000 t
- Net Food Importing Developing Countries (NFIDCs) 301 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.