Oats — Export 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 — Export quantity is currently reported for 124 countries. The highest value is 2,241 1000 t in Canada; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 54.41 1000 t.
Over the past decade 29 countries rose and 8 fell. The largest increase was in Russian Federation (up 800.0%), and the largest decrease in Argentina (down 100.0%).
Oats — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 2,241 1000 t | 2023 | up 29.7% | rising |
| 2 | Australia and New Zealand | 809 1000 t | 2023 | up 308.6% | volatile |
| 3 | Australia | 808 1000 t | 2023 | up 310.2% | volatile |
| 4 | Finland | 350 1000 t | 2023 | up 0.6% | flat |
| 5 | United Kingdom of Great Britain and Northern Ireland | 291 1000 t | 2023 | up 107.9% | rising |
| 6 | Chile | 278 1000 t | 2023 | up 396.4% | volatile |
| 7 | Germany | 244 1000 t | 2023 | up 37.9% | rising |
| 8 | Sweden | 236 1000 t | 2023 | up 21.0% | rising |
| 9 | Russian Federation | 207 1000 t | 2023 | up 800.0% | volatile |
| 10 | Poland | 163 1000 t | 2023 | up 154.7% | volatile |
| 11 | Lithuania | 142 1000 t | 2023 | up 491.7% | volatile |
| 12 | Latvia | 136 1000 t | 2023 | up 466.7% | volatile |
| 13 | France | 118 1000 t | 2023 | up 126.9% | rising |
| 14 | Belgium | 108 1000 t | 2023 | up 414.3% | volatile |
| 15 | Czechia | 82 1000 t | 2023 | up 70.8% | rising |
| 16 | Estonia | 73 1000 t | 2023 | up 135.5% | rising |
| 17 | Spain | 61 1000 t | 2023 | up 125.9% | rising |
| 18 | Ireland | 57 1000 t | 2023 | up 83.9% | falling |
| 19 | Denmark | 45 1000 t | 2023 | up 50.0% | rising |
| 20 | Netherlands (Kingdom of the) | 43 1000 t | 2023 | up 87.0% | rising |
| 21 | United Arab Emirates | 36 1000 t | 2023 | up 260.0% | volatile |
| 22 | Austria | 27 1000 t | 2023 | up 145.5% | rising |
| 23 | Malaysia | 22 1000 t | 2023 | down 15.4% | falling |
| 24 | Ukraine | 21 1000 t | 2023 | up 425.0% | volatile |
| 25 | Brazil | 20 1000 t | 2023 | up 185.7% | volatile |
| 26 | Sri Lanka | 19 1000 t | 2023 | — | volatile |
| 27 | Guatemala | 15 1000 t | 2023 | up 114.3% | rising |
| 28 | Kazakhstan | 13 1000 t | 2023 | up 160.0% | volatile |
| 28 | Slovakia | 13 1000 t | 2023 | up 62.5% | rising |
| 30 | Hungary | 8 1000 t | 2023 | up 60.0% | rising |
| 31 | Dominican Republic | 7 1000 t | 2023 | — | volatile |
| 31 | Caribbean | 7 1000 t | 2023 | — | volatile |
| 33 | Bulgaria | 5 1000 t | 2023 | unchanged | volatile |
| 33 | Italy | 5 1000 t | 2023 | down 61.5% | volatile |
| 35 | Croatia | 4 1000 t | 2023 | unchanged | volatile |
| 35 | Türkiye | 4 1000 t | 2023 | — | volatile |
| 37 | China | 3 1000 t | 2023 | down 25.0% | falling |
| 37 | Costa Rica | 3 1000 t | 2023 | unchanged | rising |
| 37 | India | 3 1000 t | 2023 | up 200.0% | volatile |
| 40 | Afghanistan | 2 1000 t | 2023 | — | volatile |
| 40 | Luxembourg | 2 1000 t | 2023 | unchanged | rising |
| 40 | Romania | 2 1000 t | 2023 | unchanged | volatile |
| 40 | Uruguay | 2 1000 t | 2023 | — | volatile |
| 40 | China, Hong Kong SAR | 2 1000 t | 2023 | down 33.3% | falling |
| 45 | Belarus | 1 1000 t | 2023 | down 90.9% | volatile |
| 45 | Ecuador | 1 1000 t | 2023 | — | volatile |
| 45 | Egypt | 1 1000 t | 2023 | — | volatile |
| 45 | Norway | 1 1000 t | 2023 | — | volatile |
| 45 | New Zealand | 1 1000 t | 2023 | — | volatile |
| 45 | Peru | 1 1000 t | 2023 | unchanged | rising |
| 45 | Portugal | 1 1000 t | 2023 | — | volatile |
| 45 | Serbia | 1 1000 t | 2023 | unchanged | rising |
| 45 | Slovenia | 1 1000 t | 2023 | — | volatile |
| 45 | China, Taiwan Province of | 1 1000 t | 2023 | — | volatile |
| 55 | Angola | 0 1000 t | 2022 | — | flat |
| 55 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Armenia | 0 1000 t | 2023 | — | flat |
| 55 | Antigua and Barbuda | 0 1000 t | 2020 | — | flat |
| 55 | Azerbaijan | 0 1000 t | 2022 | — | flat |
| 55 | Bangladesh | 0 1000 t | 2021 | — | flat |
| 55 | Bahrain | 0 1000 t | 2023 | — | flat |
| 55 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 55 | Barbados | 0 1000 t | 2022 | — | flat |
| 55 | Botswana | 0 1000 t | 2023 | — | flat |
| 55 | Switzerland | 0 1000 t | 2023 | — | flat |
| 55 | Colombia | 0 1000 t | 2023 | — | flat |
| 55 | Algeria | 0 1000 t | 2023 | — | flat |
| 55 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 55 | Fiji | 0 1000 t | 2023 | — | flat |
| 55 | Georgia | 0 1000 t | 2023 | — | flat |
| 55 | Ghana | 0 1000 t | 2023 | — | flat |
| 55 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | Honduras | 0 1000 t | 2023 | — | flat |
| 55 | Indonesia | 0 1000 t | 2023 | — | flat |
| 55 | Iceland | 0 1000 t | 2023 | — | flat |
| 55 | Israel | 0 1000 t | 2022 | — | flat |
| 55 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 55 | Jordan | 0 1000 t | 2023 | — | flat |
| 55 | Kenya | 0 1000 t | 2023 | — | flat |
| 55 | Kuwait | 0 1000 t | 2023 | — | flat |
| 55 | Lebanon | 0 1000 t | 2023 | — | flat |
| 55 | Saint Lucia | 0 1000 t | 2020 | — | flat |
| 55 | Lesotho | 0 1000 t | 2022 | — | flat |
| 55 | Morocco | 0 1000 t | 2023 | — | flat |
| 55 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 55 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 55 | Malta | 0 1000 t | 2023 | — | volatile |
| 55 | Mozambique | 0 1000 t | 2023 | — | flat |
| 55 | Mauritius | 0 1000 t | 2023 | — | flat |
| 55 | Malawi | 0 1000 t | 2015 | — | flat |
| 55 | Namibia | 0 1000 t | 2023 | — | flat |
| 55 | Nigeria | 0 1000 t | 2023 | — | flat |
| 55 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 55 | Nepal | 0 1000 t | 2023 | — | flat |
| 55 | Oman | 0 1000 t | 2023 | — | volatile |
| 55 | Pakistan | 0 1000 t | 2022 | — | volatile |
| 55 | Panama | 0 1000 t | 2022 | — | flat |
| 55 | Philippines | 0 1000 t | 2023 | — | flat |
| 55 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 55 | Rwanda | 0 1000 t | 2023 | — | flat |
| 55 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 55 | El Salvador | 0 1000 t | 2022 | — | flat |
| 55 | Eswatini | 0 1000 t | 2019 | — | flat |
| 55 | Seychelles | 0 1000 t | 2022 | — | flat |
| 55 | Thailand | 0 1000 t | 2023 | — | volatile |
| 55 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 55 | Tunisia | 0 1000 t | 2023 | — | flat |
| 55 | Uganda | 0 1000 t | 2023 | — | volatile |
| 55 | Yemen | 0 1000 t | 2015 | — | flat |
| 55 | Zambia | 0 1000 t | 2021 | — | flat |
| 55 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 55 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 55 | Melanesia | 0 1000 t | 2023 | — | flat |
| 55 | Bolivia (Plurinational State of) | 0 1000 t | 2019 | — | flat |
| 55 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 55 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 55 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 55 | Syrian Arab Republic | 0 1000 t | 2021 | — | flat |
| 55 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 55 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 55 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 55 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 55 | United Republic of Tanzania | 0 1000 t | 2020 | — | flat |
| 55 | China, Macao SAR | 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 6,033 1000 t
- Americas 2,657 1000 t
- Europe 2,449 1000 t
- Northern America 2,329 1000 t
- European Union (27) 1,927 1000 t
- Northern Europe 1,332 1000 t
- Oceania 809 1000 t
- Western Europe 542 1000 t
- Eastern Europe 502 1000 t
- South America 302 1000 t
- Asia 105 1000 t
- United States of America 88 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.