Oats — Feed 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 — Feed is currently reported for 147 countries. The highest value is 2,097 1000 t in Russian Federation; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 1 1000 t, and the mean is 81.26 1000 t.
Over the past decade 16 countries rose and 49 fell. The largest increase was in Cuba (up 700.0%), and the largest decrease in Ghana (down 100.0%).
Oats — Feed: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Russian Federation | 2,097 1000 t | 2023 | down 36.4% | falling |
| 2 | Canada | 1,462 1000 t | 2023 | down 10.4% | rising |
| 3 | Poland | 860 1000 t | 2023 | up 17.5% | falling |
| 4 | China | 650 1000 t | 2023 | up 39.5% | rising |
| 4 | China, mainland | 650 1000 t | 2023 | up 39.8% | rising |
| 6 | Spain | 639 1000 t | 2023 | down 23.9% | rising |
| 7 | Australia and New Zealand | 440 1000 t | 2023 | down 53.3% | falling |
| 8 | Australia | 424 1000 t | 2023 | down 54.0% | falling |
| 9 | Finland | 423 1000 t | 2023 | down 18.7% | falling |
| 10 | Germany | 330 1000 t | 2023 | down 49.4% | falling |
| 11 | United Kingdom of Great Britain and Northern Ireland | 310 1000 t | 2023 | up 1.3% | rising |
| 12 | Türkiye | 288 1000 t | 2023 | up 134.1% | rising |
| 13 | Argentina | 282 1000 t | 2023 | down 4.7% | rising |
| 14 | Ukraine | 275 1000 t | 2023 | down 8.3% | falling |
| 15 | France | 220 1000 t | 2023 | down 41.2% | falling |
| 15 | Italy | 220 1000 t | 2023 | down 4.3% | flat |
| 17 | Netherlands (Kingdom of the) | 197 1000 t | 2023 | up 278.8% | volatile |
| 18 | Belarus | 196 1000 t | 2023 | down 10.1% | falling |
| 19 | Denmark | 169 1000 t | 2023 | down 32.9% | flat |
| 20 | Norway | 164 1000 t | 2023 | down 18.8% | falling |
| 21 | Sweden | 155 1000 t | 2023 | down 74.4% | falling |
| 22 | Ireland | 132 1000 t | 2023 | down 4.3% | rising |
| 23 | Romania | 126 1000 t | 2023 | down 57.0% | falling |
| 24 | Chile | 100 1000 t | 2023 | down 78.7% | falling |
| 25 | Kazakhstan | 92 1000 t | 2023 | up 39.4% | falling |
| 26 | Belgium | 91 1000 t | 2023 | up 2.2% | rising |
| 27 | Mexico | 74 1000 t | 2023 | down 61.1% | falling |
| 28 | Lithuania | 69 1000 t | 2023 | down 40.0% | rising |
| 29 | Greece | 68 1000 t | 2023 | down 25.3% | falling |
| 30 | Czechia | 67 1000 t | 2023 | down 16.2% | flat |
| 31 | Algeria | 65 1000 t | 2023 | down 39.3% | falling |
| 32 | Latvia | 55 1000 t | 2023 | down 40.2% | falling |
| 33 | Hungary | 50 1000 t | 2023 | down 54.1% | falling |
| 34 | India | 47 1000 t | 2023 | up 683.3% | volatile |
| 35 | Austria | 44 1000 t | 2023 | down 41.3% | falling |
| 36 | Serbia | 43 1000 t | 2023 | down 24.6% | falling |
| 36 | Uruguay | 43 1000 t | 2023 | down 29.5% | falling |
| 38 | Morocco | 36 1000 t | 2023 | down 5.3% | volatile |
| 39 | Bosnia and Herzegovina | 35 1000 t | 2023 | up 34.6% | rising |
| 39 | Switzerland | 35 1000 t | 2023 | down 23.9% | falling |
| 41 | Albania | 31 1000 t | 2023 | up 72.2% | rising |
| 42 | Croatia | 29 1000 t | 2023 | down 45.3% | falling |
| 43 | Portugal | 24 1000 t | 2023 | down 61.3% | falling |
| 44 | Republic of Korea | 20 1000 t | 2023 | up 300.0% | volatile |
| 45 | Bulgaria | 17 1000 t | 2023 | down 32.0% | falling |
| 46 | New Zealand | 16 1000 t | 2023 | down 20.0% | falling |
| 47 | Azerbaijan | 11 1000 t | 2023 | up 266.7% | rising |
| 48 | Armenia | 8 1000 t | 2023 | up 100.0% | rising |
| 48 | Cuba | 8 1000 t | 2019 | up 700.0% | volatile |
| 48 | Slovakia | 8 1000 t | 2023 | down 42.9% | falling |
| 51 | Estonia | 7 1000 t | 2023 | down 83.3% | falling |
| 52 | Philippines | 5 1000 t | 2023 | down 16.7% | rising |
| 53 | North Macedonia | 4 1000 t | 2023 | up 33.3% | rising |
| 54 | Luxembourg | 3 1000 t | 2023 | unchanged | flat |
| 54 | Oman | 3 1000 t | 2023 | — | volatile |
| 54 | Slovenia | 3 1000 t | 2023 | down 25.0% | falling |
| 57 | Georgia | 2 1000 t | 2023 | down 33.3% | rising |
| 57 | Pakistan | 2 1000 t | 2023 | — | volatile |
| 57 | Tajikistan | 2 1000 t | 2023 | unchanged | flat |
| 57 | Uzbekistan | 2 1000 t | 2023 | — | volatile |
| 61 | United Arab Emirates | 1 1000 t | 2023 | unchanged | volatile |
| 61 | Guatemala | 1 1000 t | 2023 | — | volatile |
| 61 | Kenya | 1 1000 t | 2023 | — | volatile |
| 61 | Kyrgyzstan | 1 1000 t | 2023 | down 50.0% | falling |
| 61 | Libya | 1 1000 t | 2023 | unchanged | volatile |
| 61 | Montenegro | 1 1000 t | 2023 | unchanged | flat |
| 61 | Mongolia | 1 1000 t | 2023 | down 80.0% | volatile |
| 61 | Panama | 1 1000 t | 2023 | unchanged | rising |
| 61 | Trinidad and Tobago | 1 1000 t | 2023 | unchanged | volatile |
| 61 | Tunisia | 1 1000 t | 2023 | unchanged | flat |
| 61 | Yemen | 1 1000 t | 2023 | — | volatile |
| 61 | Zimbabwe | 1 1000 t | 2023 | unchanged | flat |
| 61 | Caribbean | 1 1000 t | 2023 | down 50.0% | volatile |
| 61 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | — | volatile |
| 61 | Republic of Moldova | 1 1000 t | 2023 | down 66.7% | falling |
| 61 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 61 | Democratic People's Republic of Korea | 1 1000 t | 2018 | down 50.0% | falling |
| 78 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 78 | Angola | 0 1000 t | 2023 | — | flat |
| 78 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 78 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 78 | Bahrain | 0 1000 t | 2023 | — | flat |
| 78 | Bahamas | 0 1000 t | 2023 | — | flat |
| 78 | Belize | 0 1000 t | 2023 | — | flat |
| 78 | Brazil | 0 1000 t | 2023 | — | flat |
| 78 | Barbados | 0 1000 t | 2023 | — | flat |
| 78 | Botswana | 0 1000 t | 2023 | — | flat |
| 78 | Cameroon | 0 1000 t | 2023 | — | flat |
| 78 | Colombia | 0 1000 t | 2023 | — | flat |
| 78 | Costa Rica | 0 1000 t | 2023 | — | volatile |
| 78 | Cyprus | 0 1000 t | 2023 | — | flat |
| 78 | Dominican Republic | 0 1000 t | 2023 | — | flat |
| 78 | Ecuador | 0 1000 t | 2023 | — | flat |
| 78 | Egypt | 0 1000 t | 2023 | — | flat |
| 78 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 78 | Fiji | 0 1000 t | 2023 | — | flat |
| 78 | Gabon | 0 1000 t | 2023 | — | flat |
| 78 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Guinea | 0 1000 t | 2022 | — | flat |
| 78 | Guyana | 0 1000 t | 2022 | — | flat |
| 78 | Honduras | 0 1000 t | 2022 | — | flat |
| 78 | Haiti | 0 1000 t | 2023 | — | flat |
| 78 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 78 | Iraq | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Iceland | 0 1000 t | 2023 | — | flat |
| 78 | Jamaica | 0 1000 t | 2023 | — | flat |
| 78 | Jordan | 0 1000 t | 2023 | — | flat |
| 78 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 78 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Lebanon | 0 1000 t | 2023 | — | flat |
| 78 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 78 | Lesotho | 0 1000 t | 2023 | — | flat |
| 78 | Madagascar | 0 1000 t | 2023 | — | flat |
| 78 | Malta | 0 1000 t | 2023 | — | flat |
| 78 | Myanmar | 0 1000 t | 2021 | — | volatile |
| 78 | Mozambique | 0 1000 t | 2023 | — | flat |
| 78 | Mauritius | 0 1000 t | 2023 | — | flat |
| 78 | Malawi | 0 1000 t | 2023 | — | flat |
| 78 | Malaysia | 0 1000 t | 2023 | — | flat |
| 78 | Namibia | 0 1000 t | 2023 | — | flat |
| 78 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 78 | Nigeria | 0 1000 t | 2023 | — | volatile |
| 78 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | Peru | 0 1000 t | 2023 | down 100.0% | volatile |
| 78 | French Polynesia | 0 1000 t | 2022 | — | flat |
| 78 | Qatar | 0 1000 t | 2023 | — | flat |
| 78 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 78 | Senegal | 0 1000 t | 2023 | — | flat |
| 78 | Sierra Leone | 0 1000 t | 2022 | — | flat |
| 78 | El Salvador | 0 1000 t | 2021 | — | flat |
| 78 | Eswatini | 0 1000 t | 2023 | — | flat |
| 78 | Seychelles | 0 1000 t | 2023 | — | flat |
| 78 | Thailand | 0 1000 t | 2023 | — | flat |
| 78 | Turkmenistan | 0 1000 t | 2022 | — | flat |
| 78 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 78 | Samoa | 0 1000 t | 2021 | — | flat |
| 78 | Zambia | 0 1000 t | 2023 | — | flat |
| 78 | Cabo Verde | 0 1000 t | 2022 | — | flat |
| 78 | Melanesia | 0 1000 t | 2023 | — | flat |
| 78 | Polynesia | 0 1000 t | 2022 | — | flat |
| 78 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 78 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 78 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 78 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 78 | Côte d'Ivoire | 0 1000 t | 2022 | — | flat |
| 78 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 78 | China, Taiwan Province of | 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 11,597 1000 t
- Europe 7,198 1000 t
- European Union (27) 4,007 1000 t
- Eastern Europe 3,697 1000 t
- Americas 2,660 1000 t
- Northern America 2,158 1000 t
- Northern Europe 1,485 1000 t
- Asia 1,184 1000 t
- Southern Europe 1,097 1000 t
- Western Europe 920 1000 t
- Eastern Asia 715 1000 t
- United States of America 696 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.