Oats — Food 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
Oats — Food is currently reported for 180 countries. The highest value is 812 1000 t in Brazil; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 2 1000 t, and the mean is 24.64 1000 t.
Over the past decade 58 countries rose and 25 fell. The largest increase was in Colombia (up 1,233.3%), and the largest decrease in Bahamas (down 100.0%).
Oats — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Brazil | 812 1000 t | 2023 | up 72.0% | rising |
| 2 | Germany | 441 1000 t | 2023 | up 247.2% | volatile |
| 3 | China | 433 1000 t | 2023 | up 89.9% | rising |
| 4 | China, mainland | 379 1000 t | 2023 | up 121.6% | rising |
| 5 | United Kingdom of Great Britain and Northern Ireland | 351 1000 t | 2023 | down 16.2% | flat |
| 6 | Russian Federation | 246 1000 t | 2023 | down 4.3% | rising |
| 7 | Belarus | 90 1000 t | 2023 | up 7.1% | falling |
| 8 | India | 85 1000 t | 2023 | up 93.2% | rising |
| 9 | Netherlands (Kingdom of the) | 83 1000 t | 2023 | up 245.8% | volatile |
| 10 | Colombia | 80 1000 t | 2023 | up 1,233.3% | volatile |
| 11 | Peru | 79 1000 t | 2023 | — | volatile |
| 12 | Poland | 72 1000 t | 2023 | up 35.8% | rising |
| 13 | France | 65 1000 t | 2023 | up 75.7% | rising |
| 14 | Ecuador | 51 1000 t | 2023 | up 24.4% | rising |
| 15 | Canada | 47 1000 t | 2023 | down 77.2% | volatile |
| 16 | Venezuela (Bolivarian Republic of) | 45 1000 t | 2023 | down 39.2% | volatile |
| 17 | Ethiopia | 44 1000 t | 2023 | down 30.2% | falling |
| 18 | Argentina | 43 1000 t | 2023 | up 22.9% | rising |
| 19 | Italy | 41 1000 t | 2023 | up 156.2% | rising |
| 19 | China, Taiwan Province of | 41 1000 t | 2023 | up 7.9% | rising |
| 21 | Denmark | 40 1000 t | 2023 | down 9.1% | falling |
| 21 | Norway | 40 1000 t | 2023 | up 66.7% | rising |
| 23 | Mexico | 39 1000 t | 2023 | down 50.0% | falling |
| 24 | Malaysia | 34 1000 t | 2023 | up 30.8% | rising |
| 25 | Guatemala | 32 1000 t | 2023 | up 100.0% | volatile |
| 26 | Australia and New Zealand | 29 1000 t | 2023 | down 25.6% | rising |
| 27 | Caribbean | 28 1000 t | 2023 | up 300.0% | volatile |
| 28 | Chile | 25 1000 t | 2023 | down 56.9% | volatile |
| 28 | Morocco | 25 1000 t | 2023 | up 733.3% | volatile |
| 30 | Saudi Arabia | 24 1000 t | 2023 | up 26.3% | rising |
| 30 | Ukraine | 24 1000 t | 2023 | down 79.7% | volatile |
| 32 | Bolivia (Plurinational State of) | 23 1000 t | 2023 | up 155.6% | rising |
| 33 | Austria | 21 1000 t | 2023 | up 10.5% | rising |
| 33 | Switzerland | 21 1000 t | 2023 | up 61.5% | rising |
| 33 | New Zealand | 21 1000 t | 2023 | up 40.0% | rising |
| 36 | Indonesia | 20 1000 t | 2023 | up 122.2% | rising |
| 36 | Nicaragua | 20 1000 t | 2023 | up 233.3% | volatile |
| 36 | Philippines | 20 1000 t | 2023 | up 25.0% | rising |
| 36 | Portugal | 20 1000 t | 2023 | up 33.3% | rising |
| 40 | Ireland | 18 1000 t | 2023 | unchanged | rising |
| 40 | Kazakhstan | 18 1000 t | 2023 | down 84.5% | volatile |
| 40 | Mongolia | 18 1000 t | 2023 | up 260.0% | volatile |
| 43 | Dominican Republic | 16 1000 t | 2023 | — | volatile |
| 44 | Israel | 15 1000 t | 2023 | up 36.4% | rising |
| 45 | Ghana | 14 1000 t | 2023 | up 180.0% | volatile |
| 45 | Greece | 14 1000 t | 2023 | up 366.7% | volatile |
| 47 | Republic of Korea | 13 1000 t | 2023 | — | volatile |
| 48 | Costa Rica | 12 1000 t | 2023 | up 71.4% | rising |
| 48 | Serbia | 12 1000 t | 2023 | down 57.1% | volatile |
| 48 | China, Hong Kong SAR | 12 1000 t | 2023 | down 36.8% | falling |
| 51 | Finland | 10 1000 t | 2023 | down 66.7% | volatile |
| 51 | Nigeria | 10 1000 t | 2023 | up 100.0% | rising |
| 51 | Viet Nam | 10 1000 t | 2023 | up 900.0% | volatile |
| 54 | Romania | 9 1000 t | 2023 | up 80.0% | rising |
| 55 | Australia | 8 1000 t | 2023 | down 66.7% | volatile |
| 55 | Hungary | 8 1000 t | 2023 | up 60.0% | rising |
| 55 | Jamaica | 8 1000 t | 2023 | up 60.0% | rising |
| 55 | Slovakia | 8 1000 t | 2023 | up 60.0% | rising |
| 59 | Algeria | 7 1000 t | 2023 | — | volatile |
| 59 | Georgia | 7 1000 t | 2023 | up 40.0% | rising |
| 59 | Honduras | 7 1000 t | 2023 | up 16.7% | falling |
| 59 | Panama | 7 1000 t | 2023 | up 16.7% | rising |
| 59 | Côte d'Ivoire | 7 1000 t | 2023 | up 133.3% | rising |
| 59 | Democratic People's Republic of Korea | 7 1000 t | 2018 | down 12.5% | falling |
| 65 | Estonia | 6 1000 t | 2023 | unchanged | rising |
| 65 | Thailand | 6 1000 t | 2023 | up 500.0% | volatile |
| 65 | Uruguay | 6 1000 t | 2023 | up 500.0% | volatile |
| 68 | Bulgaria | 5 1000 t | 2023 | up 150.0% | rising |
| 68 | North Macedonia | 5 1000 t | 2023 | up 150.0% | rising |
| 68 | Sweden | 5 1000 t | 2023 | down 61.5% | rising |
| 68 | Uzbekistan | 5 1000 t | 2023 | up 150.0% | rising |
| 68 | Republic of Moldova | 5 1000 t | 2023 | up 66.7% | rising |
| 73 | Angola | 4 1000 t | 2023 | — | volatile |
| 73 | Armenia | 4 1000 t | 2023 | up 100.0% | rising |
| 73 | Kenya | 4 1000 t | 2023 | up 33.3% | rising |
| 76 | Azerbaijan | 3 1000 t | 2023 | up 200.0% | rising |
| 76 | Croatia | 3 1000 t | 2023 | up 200.0% | volatile |
| 76 | Iraq | 3 1000 t | 2023 | — | volatile |
| 76 | Libya | 3 1000 t | 2023 | — | volatile |
| 76 | Oman | 3 1000 t | 2023 | up 50.0% | rising |
| 76 | Qatar | 3 1000 t | 2023 | — | rising |
| 76 | Senegal | 3 1000 t | 2023 | — | volatile |
| 76 | El Salvador | 3 1000 t | 2023 | up 50.0% | rising |
| 76 | Iran (Islamic Republic of) | 3 1000 t | 2023 | — | volatile |
| 85 | Egypt | 2 1000 t | 2023 | up 100.0% | rising |
| 85 | Iceland | 2 1000 t | 2023 | unchanged | rising |
| 85 | Kuwait | 2 1000 t | 2023 | unchanged | rising |
| 85 | Latvia | 2 1000 t | 2023 | down 80.0% | falling |
| 85 | Nepal | 2 1000 t | 2023 | — | volatile |
| 85 | Pakistan | 2 1000 t | 2023 | — | volatile |
| 85 | Paraguay | 2 1000 t | 2023 | up 100.0% | rising |
| 85 | Slovenia | 2 1000 t | 2023 | up 100.0% | rising |
| 85 | Tunisia | 2 1000 t | 2023 | — | volatile |
| 94 | Albania | 1 1000 t | 2023 | — | volatile |
| 94 | United Arab Emirates | 1 1000 t | 2023 | down 66.7% | volatile |
| 94 | Belgium | 1 1000 t | 2023 | down 50.0% | falling |
| 94 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 94 | Bahrain | 1 1000 t | 2023 | — | flat |
| 94 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 94 | Barbados | 1 1000 t | 2023 | — | volatile |
| 94 | Congo | 1 1000 t | 2023 | unchanged | volatile |
| 94 | Cyprus | 1 1000 t | 2023 | unchanged | volatile |
| 94 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 94 | Fiji | 1 1000 t | 2023 | — | volatile |
| 94 | Jordan | 1 1000 t | 2023 | — | volatile |
| 94 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | flat |
| 94 | Lebanon | 1 1000 t | 2023 | — | volatile |
| 94 | Liberia | 1 1000 t | 2023 | unchanged | rising |
| 94 | Sri Lanka | 1 1000 t | 2023 | unchanged | volatile |
| 94 | Lesotho | 1 1000 t | 2023 | — | volatile |
| 94 | Luxembourg | 1 1000 t | 2023 | unchanged | flat |
| 94 | Malta | 1 1000 t | 2023 | unchanged | falling |
| 94 | Mauritius | 1 1000 t | 2023 | — | volatile |
| 94 | Namibia | 1 1000 t | 2023 | unchanged | volatile |
| 94 | Yemen | 1 1000 t | 2023 | unchanged | volatile |
| 94 | Zambia | 1 1000 t | 2023 | — | volatile |
| 94 | Melanesia | 1 1000 t | 2023 | unchanged | rising |
| 94 | Democratic Republic of the Congo | 1 1000 t | 2023 | down 50.0% | volatile |
| 94 | Türkiye | 1 1000 t | 2023 | unchanged | volatile |
| 94 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 121 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 121 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 121 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 121 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Belize | 0 1000 t | 2023 | — | volatile |
| 121 | Bhutan | 0 1000 t | 2023 | — | flat |
| 121 | Botswana | 0 1000 t | 2023 | — | volatile |
| 121 | Cameroon | 0 1000 t | 2023 | — | flat |
| 121 | Comoros | 0 1000 t | 2023 | — | flat |
| 121 | Cuba | 0 1000 t | 2019 | — | flat |
| 121 | Czechia | 0 1000 t | 2023 | down 100.0% | falling |
| 121 | Spain | 0 1000 t | 2023 | down 100.0% | falling |
| 121 | Gabon | 0 1000 t | 2023 | — | flat |
| 121 | Guinea | 0 1000 t | 2023 | — | flat |
| 121 | Gambia | 0 1000 t | 2023 | — | flat |
| 121 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 121 | Grenada | 0 1000 t | 2023 | — | flat |
| 121 | Guyana | 0 1000 t | 2023 | — | volatile |
| 121 | Haiti | 0 1000 t | 2023 | — | volatile |
| 121 | Cambodia | 0 1000 t | 2023 | — | flat |
| 121 | Kiribati | 0 1000 t | 2023 | — | flat |
| 121 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 121 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 121 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 121 | Madagascar | 0 1000 t | 2023 | — | flat |
| 121 | Maldives | 0 1000 t | 2023 | — | volatile |
| 121 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 121 | Myanmar | 0 1000 t | 2023 | — | flat |
| 121 | Montenegro | 0 1000 t | 2023 | — | flat |
| 121 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 121 | Mauritania | 0 1000 t | 2023 | — | flat |
| 121 | Malawi | 0 1000 t | 2023 | — | flat |
| 121 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 121 | Niger | 0 1000 t | 2023 | — | flat |
| 121 | Nauru | 0 1000 t | 2023 | — | flat |
| 121 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 121 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 121 | Rwanda | 0 1000 t | 2023 | — | flat |
| 121 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 121 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 121 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 121 | Suriname | 0 1000 t | 2023 | — | flat |
| 121 | Eswatini | 0 1000 t | 2023 | — | flat |
| 121 | Seychelles | 0 1000 t | 2023 | — | flat |
| 121 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 121 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 121 | Tonga | 0 1000 t | 2023 | — | flat |
| 121 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 121 | Uganda | 0 1000 t | 2023 | — | flat |
| 121 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 121 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 121 | Samoa | 0 1000 t | 2023 | — | flat |
| 121 | Zimbabwe | 0 1000 t | 2023 | — | volatile |
| 121 | Micronesia | 0 1000 t | 2023 | — | flat |
| 121 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 121 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 121 | Polynesia | 0 1000 t | 2023 | — | flat |
| 121 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 121 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 121 | 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 6,194 1000 t
- Americas 3,486 1000 t
- Northern America 2,170 1000 t
- United States of America 2,123 1000 t
- Europe 1,672 1000 t
- South America 1,168 1000 t
- European Union (27) 876 1000 t
- Asia 799 1000 t
- Western Europe 633 1000 t
- Eastern Asia 519 1000 t
- Northern Europe 473 1000 t
- Eastern Europe 467 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.