Oats — Stock Variation 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 — Stock Variation is currently reported for 160 countries. The highest value is 110 1000 t in Finland; the lowest is -1,318 1000 t in Canada.
The median across all reporting countries is 0 1000 t, and the mean is -13.46 1000 t.
Over the past decade 15 countries rose and 26 fell. The largest increase was in Türkiye (up 733.3%), and the largest decrease in Sweden (down 1,900.0%).
Oats — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Finland | 110 1000 t | 2023 | down 31.2% | volatile |
| 2 | Türkiye | 57 1000 t | 2023 | up 733.3% | volatile |
| 3 | Latvia | 28 1000 t | 2023 | — | volatile |
| 4 | Peru | 23 1000 t | 2023 | up 360.0% | volatile |
| 5 | Romania | 13 1000 t | 2023 | down 58.1% | volatile |
| 6 | Poland | 7 1000 t | 2023 | up 108.1% | volatile |
| 7 | Brazil | 6 1000 t | 2023 | up 137.5% | volatile |
| 7 | Switzerland | 6 1000 t | 2023 | up 300.0% | volatile |
| 9 | Bulgaria | 4 1000 t | 2023 | — | volatile |
| 9 | Italy | 4 1000 t | 2023 | up 233.3% | volatile |
| 11 | Chile | 3 1000 t | 2023 | down 90.9% | volatile |
| 11 | Algeria | 3 1000 t | 2023 | up 250.0% | volatile |
| 11 | Ukraine | 3 1000 t | 2023 | up 121.4% | volatile |
| 14 | Portugal | 2 1000 t | 2023 | down 50.0% | volatile |
| 15 | China | 1 1000 t | 2023 | down 66.7% | volatile |
| 15 | Ethiopia | 1 1000 t | 2023 | unchanged | volatile |
| 15 | China, mainland | 1 1000 t | 2023 | down 66.7% | volatile |
| 18 | Angola | 0 1000 t | 2023 | — | flat |
| 18 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 18 | Armenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 18 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 18 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 18 | Bahrain | 0 1000 t | 2023 | — | flat |
| 18 | Bahamas | 0 1000 t | 2023 | — | flat |
| 18 | Belarus | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Belize | 0 1000 t | 2023 | — | volatile |
| 18 | Barbados | 0 1000 t | 2023 | — | flat |
| 18 | Botswana | 0 1000 t | 2023 | — | flat |
| 18 | Cameroon | 0 1000 t | 2023 | — | flat |
| 18 | Congo | 0 1000 t | 2018 | — | flat |
| 18 | Colombia | 0 1000 t | 2023 | — | flat |
| 18 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 18 | Cuba | 0 1000 t | 2019 | — | flat |
| 18 | Cyprus | 0 1000 t | 2023 | — | flat |
| 18 | Djibouti | 0 1000 t | 2023 | — | flat |
| 18 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 18 | Egypt | 0 1000 t | 2023 | — | flat |
| 18 | Fiji | 0 1000 t | 2023 | — | flat |
| 18 | France | 0 1000 t | 2023 | — | flat |
| 18 | Georgia | 0 1000 t | 2023 | — | flat |
| 18 | Ghana | 0 1000 t | 2023 | — | flat |
| 18 | Greece | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Grenada | 0 1000 t | 2023 | — | flat |
| 18 | Guatemala | 0 1000 t | 2023 | — | flat |
| 18 | Guyana | 0 1000 t | 2023 | — | flat |
| 18 | Honduras | 0 1000 t | 2023 | — | flat |
| 18 | Croatia | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Hungary | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Indonesia | 0 1000 t | 2023 | — | flat |
| 18 | India | 0 1000 t | 2023 | — | flat |
| 18 | Iraq | 0 1000 t | 2023 | — | flat |
| 18 | Iceland | 0 1000 t | 2023 | — | flat |
| 18 | Israel | 0 1000 t | 2023 | — | volatile |
| 18 | Jamaica | 0 1000 t | 2023 | — | flat |
| 18 | Jordan | 0 1000 t | 2023 | — | flat |
| 18 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Kenya | 0 1000 t | 2023 | — | flat |
| 18 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 18 | Cambodia | 0 1000 t | 2023 | — | flat |
| 18 | Kiribati | 0 1000 t | 2021 | — | flat |
| 18 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 18 | Kuwait | 0 1000 t | 2023 | — | flat |
| 18 | Lebanon | 0 1000 t | 2023 | — | flat |
| 18 | Libya | 0 1000 t | 2023 | — | flat |
| 18 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 18 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 18 | Lesotho | 0 1000 t | 2023 | — | flat |
| 18 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 18 | Madagascar | 0 1000 t | 2023 | — | flat |
| 18 | Maldives | 0 1000 t | 2023 | — | flat |
| 18 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 18 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 18 | Malta | 0 1000 t | 2023 | — | flat |
| 18 | Myanmar | 0 1000 t | 2021 | — | flat |
| 18 | Montenegro | 0 1000 t | 2023 | — | flat |
| 18 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 18 | Mozambique | 0 1000 t | 2023 | — | flat |
| 18 | Mauritania | 0 1000 t | 2023 | — | flat |
| 18 | Mauritius | 0 1000 t | 2023 | — | flat |
| 18 | Malawi | 0 1000 t | 2023 | — | flat |
| 18 | Namibia | 0 1000 t | 2023 | — | volatile |
| 18 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 18 | Nigeria | 0 1000 t | 2023 | — | flat |
| 18 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 18 | Nepal | 0 1000 t | 2023 | — | flat |
| 18 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 18 | Oman | 0 1000 t | 2023 | — | flat |
| 18 | Pakistan | 0 1000 t | 2023 | — | flat |
| 18 | Panama | 0 1000 t | 2023 | — | flat |
| 18 | Philippines | 0 1000 t | 2023 | — | flat |
| 18 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 18 | Paraguay | 0 1000 t | 2023 | — | flat |
| 18 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 18 | Qatar | 0 1000 t | 2023 | — | flat |
| 18 | Rwanda | 0 1000 t | 2023 | — | flat |
| 18 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 18 | Senegal | 0 1000 t | 2023 | — | flat |
| 18 | Solomon Islands | 0 1000 t | 2020 | — | flat |
| 18 | El Salvador | 0 1000 t | 2021 | — | flat |
| 18 | Serbia | 0 1000 t | 2023 | — | flat |
| 18 | Slovenia | 0 1000 t | 2023 | — | flat |
| 18 | Eswatini | 0 1000 t | 2023 | — | flat |
| 18 | Seychelles | 0 1000 t | 2023 | — | flat |
| 18 | Thailand | 0 1000 t | 2023 | — | flat |
| 18 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 18 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 18 | Tonga | 0 1000 t | 2023 | — | flat |
| 18 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 18 | Tunisia | 0 1000 t | 2023 | — | flat |
| 18 | Uganda | 0 1000 t | 2023 | — | flat |
| 18 | Uruguay | 0 1000 t | 2023 | — | flat |
| 18 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 18 | Samoa | 0 1000 t | 2021 | — | flat |
| 18 | Yemen | 0 1000 t | 2023 | — | flat |
| 18 | Zambia | 0 1000 t | 2023 | — | flat |
| 18 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 18 | Micronesia | 0 1000 t | 2023 | — | flat |
| 18 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 18 | Melanesia | 0 1000 t | 2023 | — | flat |
| 18 | Polynesia | 0 1000 t | 2023 | — | flat |
| 18 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 18 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 18 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 18 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 18 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 18 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 18 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 18 | Syrian Arab Republic | 0 1000 t | 2023 | — | flat |
| 18 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 18 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 18 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 18 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 18 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | up 100.0% | volatile |
| 18 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 18 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 140 | Bosnia and Herzegovina | -1 1000 t | 2023 | down 200.0% | flat |
| 140 | Malaysia | -1 1000 t | 2023 | up 75.0% | volatile |
| 142 | Mexico | -2 1000 t | 2023 | down 166.7% | volatile |
| 143 | Czechia | -3 1000 t | 2023 | — | volatile |
| 143 | Denmark | -3 1000 t | 2023 | down 115.8% | volatile |
| 145 | Morocco | -5 1000 t | 2023 | — | flat |
| 146 | Estonia | -7 1000 t | 2023 | down 333.3% | volatile |
| 146 | Slovakia | -7 1000 t | 2023 | down 800.0% | volatile |
| 148 | Austria | -10 1000 t | 2023 | — | volatile |
| 149 | Lithuania | -13 1000 t | 2023 | down 550.0% | volatile |
| 150 | Sweden | -18 1000 t | 2023 | down 1,900.0% | volatile |
| 151 | Argentina | -21 1000 t | 2023 | down 333.3% | volatile |
| 152 | Russian Federation | -24 1000 t | 2023 | — | volatile |
| 153 | Norway | -26 1000 t | 2023 | down 244.4% | volatile |
| 154 | Ireland | -28 1000 t | 2023 | down 1,033.3% | volatile |
| 155 | Spain | -52 1000 t | 2023 | — | volatile |
| 156 | Germany | -103 1000 t | 2023 | down 128.9% | volatile |
| 157 | United Kingdom of Great Britain and Northern Ireland | -126 1000 t | 2023 | down 171.6% | volatile |
| 158 | Australia | -329 1000 t | 2023 | down 344.6% | volatile |
| 158 | Australia and New Zealand | -329 1000 t | 2023 | down 344.6% | volatile |
| 160 | Canada | -1,318 1000 t | 2023 | down 1,669.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Asia 58 1000 t
- Western Asia 57 1000 t
- United States of America 21 1000 t
- Net Food Importing Developing Countries (NFIDCs) 17 1000 t
- South America 11 1000 t
- South Africa 10 1000 t
- Southern Africa 10 1000 t
- Africa 8 1000 t
- Eastern Asia 2 1000 t
- Small Island Developing States (SIDS) 0 1000 t
- Central Asia 0 1000 t
- Western Africa 0 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.