Oats — Domestic supply 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
Oats — Domestic supply quantity is currently reported for 181 countries. The highest value is 3,120 1000 t in Russian Federation; the lowest is 0 1000 t in United Republic of Tanzania.
The median across all reporting countries is 4 1000 t, and the mean is 106.2 1000 t.
Over the past decade 56 countries rose and 42 fell. The largest increase was in Colombia (up 1,250.0%), and the largest decrease in Bahamas (down 100.0%).
Oats — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Russian Federation | 3,120 1000 t | 2023 | down 36.7% | falling |
| 2 | Canada | 1,754 1000 t | 2023 | down 18.9% | rising |
| 3 | Poland | 1,391 1000 t | 2023 | up 11.5% | flat |
| 4 | China | 1,149 1000 t | 2023 | up 53.8% | rising |
| 5 | China, mainland | 1,095 1000 t | 2023 | up 58.7% | rising |
| 6 | Brazil | 881 1000 t | 2023 | up 66.2% | rising |
| 7 | Germany | 839 1000 t | 2023 | up 2.6% | rising |
| 8 | Spain | 710 1000 t | 2023 | down 30.2% | rising |
| 9 | United Kingdom of Great Britain and Northern Ireland | 688 1000 t | 2023 | down 8.1% | rising |
| 10 | Finland | 561 1000 t | 2023 | down 18.9% | falling |
| 11 | Australia and New Zealand | 526 1000 t | 2023 | down 49.3% | falling |
| 12 | Australia | 482 1000 t | 2023 | down 51.8% | falling |
| 13 | Argentina | 461 1000 t | 2023 | down 4.8% | rising |
| 14 | Ukraine | 404 1000 t | 2023 | down 15.8% | falling |
| 15 | Türkiye | 354 1000 t | 2023 | up 43.9% | rising |
| 16 | Belarus | 349 1000 t | 2023 | down 3.9% | falling |
| 17 | France | 296 1000 t | 2023 | down 30.5% | flat |
| 18 | Italy | 287 1000 t | 2023 | up 3.6% | flat |
| 19 | Netherlands (Kingdom of the) | 281 1000 t | 2023 | up 264.9% | volatile |
| 20 | Norway | 228 1000 t | 2023 | down 9.2% | flat |
| 21 | Denmark | 225 1000 t | 2023 | down 29.0% | flat |
| 22 | Sweden | 201 1000 t | 2023 | down 69.6% | falling |
| 23 | Ireland | 159 1000 t | 2023 | down 3.6% | rising |
| 24 | Romania | 155 1000 t | 2023 | down 54.9% | falling |
| 25 | Kazakhstan | 154 1000 t | 2023 | down 45.2% | rising |
| 26 | Chile | 152 1000 t | 2023 | down 74.3% | falling |
| 27 | India | 132 1000 t | 2023 | up 169.4% | rising |
| 28 | Mexico | 117 1000 t | 2023 | down 57.8% | falling |
| 29 | Belgium | 95 1000 t | 2023 | up 3.3% | rising |
| 30 | Greece | 90 1000 t | 2023 | down 16.7% | falling |
| 31 | Algeria | 82 1000 t | 2023 | down 33.3% | falling |
| 32 | Colombia | 81 1000 t | 2023 | up 1,250.0% | volatile |
| 32 | Latvia | 81 1000 t | 2023 | down 31.4% | falling |
| 32 | Peru | 81 1000 t | 2023 | up 84.1% | rising |
| 35 | Lithuania | 79 1000 t | 2023 | down 47.0% | falling |
| 36 | Czechia | 72 1000 t | 2023 | down 40.5% | falling |
| 37 | Austria | 69 1000 t | 2023 | down 26.6% | falling |
| 38 | Hungary | 65 1000 t | 2023 | down 48.0% | falling |
| 39 | Morocco | 64 1000 t | 2023 | up 36.2% | volatile |
| 40 | Serbia | 58 1000 t | 2023 | down 35.6% | falling |
| 41 | Switzerland | 57 1000 t | 2023 | down 6.6% | falling |
| 42 | Ecuador | 52 1000 t | 2023 | up 23.8% | rising |
| 42 | Uruguay | 52 1000 t | 2023 | down 24.6% | falling |
| 44 | Ethiopia | 49 1000 t | 2023 | down 31.0% | falling |
| 45 | Portugal | 47 1000 t | 2023 | down 45.3% | falling |
| 46 | Venezuela (Bolivarian Republic of) | 45 1000 t | 2023 | down 39.2% | volatile |
| 47 | New Zealand | 44 1000 t | 2023 | up 15.8% | falling |
| 48 | China, Taiwan Province of | 41 1000 t | 2023 | up 7.9% | rising |
| 49 | Bosnia and Herzegovina | 39 1000 t | 2023 | up 30.0% | rising |
| 50 | Mongolia | 38 1000 t | 2023 | up 245.5% | volatile |
| 51 | Albania | 35 1000 t | 2023 | up 59.1% | rising |
| 51 | Croatia | 35 1000 t | 2023 | down 39.7% | falling |
| 53 | Malaysia | 34 1000 t | 2023 | up 30.8% | rising |
| 54 | Republic of Korea | 33 1000 t | 2023 | up 560.0% | volatile |
| 55 | Guatemala | 32 1000 t | 2023 | up 88.2% | volatile |
| 56 | Caribbean | 30 1000 t | 2023 | up 233.3% | volatile |
| 57 | Bulgaria | 27 1000 t | 2023 | down 20.6% | falling |
| 58 | Bolivia (Plurinational State of) | 26 1000 t | 2023 | up 188.9% | rising |
| 59 | Philippines | 25 1000 t | 2023 | up 13.6% | rising |
| 60 | Saudi Arabia | 24 1000 t | 2023 | up 26.3% | rising |
| 61 | Estonia | 22 1000 t | 2023 | down 60.7% | falling |
| 62 | Indonesia | 20 1000 t | 2023 | up 100.0% | rising |
| 62 | Nicaragua | 20 1000 t | 2023 | up 42.9% | flat |
| 62 | Slovakia | 20 1000 t | 2023 | down 16.7% | falling |
| 65 | Dominican Republic | 16 1000 t | 2023 | — | volatile |
| 66 | Israel | 15 1000 t | 2023 | up 36.4% | rising |
| 67 | Azerbaijan | 14 1000 t | 2023 | up 180.0% | rising |
| 67 | Ghana | 14 1000 t | 2023 | up 133.3% | volatile |
| 69 | Armenia | 13 1000 t | 2023 | up 116.7% | rising |
| 69 | Democratic People's Republic of Korea | 13 1000 t | 2018 | down 7.1% | falling |
| 71 | Costa Rica | 12 1000 t | 2023 | up 50.0% | rising |
| 71 | China, Hong Kong SAR | 12 1000 t | 2023 | down 36.8% | falling |
| 73 | Viet Nam | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 74 | Georgia | 10 1000 t | 2023 | up 25.0% | rising |
| 74 | Nigeria | 10 1000 t | 2023 | up 100.0% | rising |
| 76 | North Macedonia | 9 1000 t | 2023 | up 12.5% | rising |
| 77 | Cuba | 8 1000 t | 2019 | up 700.0% | volatile |
| 77 | Jamaica | 8 1000 t | 2023 | up 60.0% | rising |
| 77 | Panama | 8 1000 t | 2023 | up 33.3% | rising |
| 80 | Honduras | 7 1000 t | 2023 | up 16.7% | falling |
| 80 | Uzbekistan | 7 1000 t | 2023 | up 250.0% | volatile |
| 80 | Republic of Moldova | 7 1000 t | 2023 | up 16.7% | rising |
| 80 | Côte d'Ivoire | 7 1000 t | 2023 | up 133.3% | rising |
| 84 | Kenya | 6 1000 t | 2023 | up 50.0% | rising |
| 84 | Oman | 6 1000 t | 2023 | up 200.0% | rising |
| 84 | Slovenia | 6 1000 t | 2023 | up 20.0% | falling |
| 84 | Thailand | 6 1000 t | 2023 | up 500.0% | volatile |
| 88 | Angola | 4 1000 t | 2023 | — | volatile |
| 88 | Luxembourg | 4 1000 t | 2023 | unchanged | rising |
| 88 | Pakistan | 4 1000 t | 2023 | up 300.0% | volatile |
| 88 | Tunisia | 4 1000 t | 2023 | up 100.0% | rising |
| 92 | United Arab Emirates | 3 1000 t | 2023 | down 62.5% | falling |
| 92 | Iraq | 3 1000 t | 2023 | up 200.0% | volatile |
| 92 | Kyrgyzstan | 3 1000 t | 2023 | unchanged | falling |
| 92 | Libya | 3 1000 t | 2023 | up 200.0% | volatile |
| 92 | Qatar | 3 1000 t | 2023 | — | rising |
| 92 | Senegal | 3 1000 t | 2023 | — | volatile |
| 92 | El Salvador | 3 1000 t | 2023 | up 50.0% | rising |
| 92 | Tajikistan | 3 1000 t | 2023 | unchanged | rising |
| 92 | Trinidad and Tobago | 3 1000 t | 2023 | up 200.0% | volatile |
| 92 | Iran (Islamic Republic of) | 3 1000 t | 2023 | — | volatile |
| 102 | Cyprus | 2 1000 t | 2023 | unchanged | rising |
| 102 | Egypt | 2 1000 t | 2023 | up 100.0% | rising |
| 102 | Iceland | 2 1000 t | 2023 | unchanged | rising |
| 102 | Kuwait | 2 1000 t | 2023 | unchanged | volatile |
| 102 | Namibia | 2 1000 t | 2023 | up 100.0% | volatile |
| 102 | Nepal | 2 1000 t | 2023 | — | volatile |
| 102 | Paraguay | 2 1000 t | 2023 | — | volatile |
| 102 | Yemen | 2 1000 t | 2023 | unchanged | volatile |
| 110 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 110 | Bahrain | 1 1000 t | 2023 | — | flat |
| 110 | Barbados | 1 1000 t | 2023 | — | volatile |
| 110 | Botswana | 1 1000 t | 2023 | — | volatile |
| 110 | Congo | 1 1000 t | 2023 | unchanged | volatile |
| 110 | Djibouti | 1 1000 t | 2023 | — | volatile |
| 110 | Fiji | 1 1000 t | 2023 | unchanged | rising |
| 110 | Jordan | 1 1000 t | 2023 | — | volatile |
| 110 | Lebanon | 1 1000 t | 2023 | unchanged | rising |
| 110 | Liberia | 1 1000 t | 2023 | unchanged | rising |
| 110 | Sri Lanka | 1 1000 t | 2023 | unchanged | volatile |
| 110 | Lesotho | 1 1000 t | 2023 | — | volatile |
| 110 | Malta | 1 1000 t | 2023 | unchanged | falling |
| 110 | Montenegro | 1 1000 t | 2023 | unchanged | flat |
| 110 | Mauritius | 1 1000 t | 2023 | unchanged | volatile |
| 110 | Zambia | 1 1000 t | 2023 | — | volatile |
| 110 | Zimbabwe | 1 1000 t | 2023 | unchanged | rising |
| 110 | Melanesia | 1 1000 t | 2023 | unchanged | flat |
| 110 | Democratic Republic of the Congo | 1 1000 t | 2023 | down 50.0% | volatile |
| 110 | China, Macao SAR | 1 1000 t | 2023 | — | volatile |
| 130 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 130 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 130 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 130 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 130 | Belize | 0 1000 t | 2023 | down 100.0% | falling |
| 130 | Bhutan | 0 1000 t | 2023 | — | flat |
| 130 | Cameroon | 0 1000 t | 2023 | — | flat |
| 130 | Comoros | 0 1000 t | 2023 | — | flat |
| 130 | Gabon | 0 1000 t | 2023 | — | flat |
| 130 | Guinea | 0 1000 t | 2023 | — | flat |
| 130 | Gambia | 0 1000 t | 2023 | — | flat |
| 130 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 130 | Grenada | 0 1000 t | 2023 | — | flat |
| 130 | Guyana | 0 1000 t | 2023 | — | volatile |
| 130 | Haiti | 0 1000 t | 2023 | — | volatile |
| 130 | Cambodia | 0 1000 t | 2023 | — | flat |
| 130 | Kiribati | 0 1000 t | 2023 | — | flat |
| 130 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 130 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 130 | Madagascar | 0 1000 t | 2023 | — | flat |
| 130 | Maldives | 0 1000 t | 2023 | — | volatile |
| 130 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 130 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 130 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 130 | Mauritania | 0 1000 t | 2023 | — | flat |
| 130 | Malawi | 0 1000 t | 2023 | — | flat |
| 130 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 130 | Niger | 0 1000 t | 2023 | — | flat |
| 130 | Nauru | 0 1000 t | 2023 | — | flat |
| 130 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 130 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 130 | Rwanda | 0 1000 t | 2023 | — | flat |
| 130 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 130 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 130 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 130 | Suriname | 0 1000 t | 2023 | — | flat |
| 130 | Eswatini | 0 1000 t | 2023 | — | flat |
| 130 | Seychelles | 0 1000 t | 2023 | — | flat |
| 130 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 130 | Tonga | 0 1000 t | 2023 | — | flat |
| 130 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 130 | Uganda | 0 1000 t | 2023 | — | volatile |
| 130 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 130 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 130 | Samoa | 0 1000 t | 2023 | — | flat |
| 130 | Micronesia | 0 1000 t | 2023 | — | flat |
| 130 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 130 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 130 | Polynesia | 0 1000 t | 2023 | — | flat |
| 130 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 130 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 130 | 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 20,661 1000 t
- Europe 10,815 1000 t
- Americas 6,784 1000 t
- European Union (27) 5,818 1000 t
- Eastern Europe 5,610 1000 t
- Northern America 4,722 1000 t
- United States of America 2,968 1000 t
- Northern Europe 2,244 1000 t
- Asia 2,187 1000 t
- South America 1,833 1000 t
- Western Europe 1,642 1000 t
- Eastern Asia 1,325 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.