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 69 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 -32.12 1000 t.
Over the past decade 18 countries rose and 27 fell. The largest increase was in Turkey (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 | Turkey | 57 1000 t | 2023 | up 733.3% | volatile |
| 2 | Türkiye | 57 1000 t | 2023 | up 733.3% | volatile |
| 4 | Latvia | 28 1000 t | 2023 | — | volatile |
| 5 | Peru | 23 1000 t | 2023 | up 360.0% | volatile |
| 6 | United States | 21 1000 t | 2023 | up 165.6% | volatile |
| 7 | Romania | 13 1000 t | 2023 | down 58.1% | volatile |
| 8 | South Africa | 10 1000 t | 2023 | up 143.5% | volatile |
| 9 | Poland | 7 1000 t | 2023 | up 108.1% | volatile |
| 10 | Brazil | 6 1000 t | 2023 | up 137.5% | volatile |
| 10 | Switzerland | 6 1000 t | 2023 | up 300.0% | volatile |
| 12 | Italy | 4 1000 t | 2023 | up 233.3% | volatile |
| 12 | Bulgaria | 4 1000 t | 2023 | — | volatile |
| 14 | Ukraine | 3 1000 t | 2023 | up 121.4% | volatile |
| 14 | Algeria | 3 1000 t | 2023 | up 250.0% | volatile |
| 14 | Chile | 3 1000 t | 2023 | down 90.9% | volatile |
| 17 | Portugal | 2 1000 t | 2023 | down 50.0% | volatile |
| 18 | China | 1 1000 t | 2023 | down 66.7% | volatile |
| 18 | China, mainland | 1 1000 t | 2023 | down 66.7% | volatile |
| 18 | Ethiopia | 1 1000 t | 2023 | unchanged | volatile |
| 21 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 21 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 21 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 21 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 21 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 21 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | up 100.0% | volatile |
| 21 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 21 | Namibia | 0 1000 t | 2023 | — | volatile |
| 21 | Croatia | 0 1000 t | 2023 | up 100.0% | volatile |
| 21 | Belize | 0 1000 t | 2023 | — | volatile |
| 21 | Dominican Republic | 0 1000 t | 2023 | down 100.0% | volatile |
| 21 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 21 | France | 0 1000 t | 2023 | — | flat |
| 21 | Belarus | 0 1000 t | 2023 | up 100.0% | volatile |
| 21 | Greece | 0 1000 t | 2023 | up 100.0% | volatile |
| 21 | Hungary | 0 1000 t | 2023 | down 100.0% | volatile |
| 21 | Israel | 0 1000 t | 2023 | — | volatile |
| 21 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 21 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 21 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 21 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 21 | Moldova | 0 1000 t | 2023 | — | volatile |
| 21 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 21 | United Arab Emirates | 0 1000 t | 2023 | — | volatile |
| 21 | Belgium | 0 1000 t | 2023 | up 100.0% | volatile |
| 21 | Armenia | 0 1000 t | 2023 | up 100.0% | volatile |
| 146 | Bosnia and Herzegovina | -1 1000 t | 2023 | down 200.0% | flat |
| 146 | Malaysia | -1 1000 t | 2023 | up 75.0% | volatile |
| 148 | Mexico | -2 1000 t | 2023 | down 166.7% | volatile |
| 149 | Denmark | -3 1000 t | 2023 | down 115.8% | volatile |
| 149 | Czechia | -3 1000 t | 2023 | — | volatile |
| 151 | Morocco | -5 1000 t | 2023 | — | flat |
| 152 | Estonia | -7 1000 t | 2023 | down 333.3% | volatile |
| 152 | Slovakia | -7 1000 t | 2023 | down 800.0% | volatile |
| 154 | Austria | -10 1000 t | 2023 | — | volatile |
| 155 | Lithuania | -13 1000 t | 2023 | down 550.0% | volatile |
| 156 | Sweden | -18 1000 t | 2023 | down 1,900.0% | volatile |
| 157 | Argentina | -21 1000 t | 2023 | down 333.3% | volatile |
| 158 | Russian Federation | -24 1000 t | 2023 | — | volatile |
| 158 | Russia | -24 1000 t | 2023 | — | volatile |
| 160 | Norway | -26 1000 t | 2023 | down 244.4% | volatile |
| 161 | Ireland | -28 1000 t | 2023 | down 1,033.3% | volatile |
| 162 | Spain | -52 1000 t | 2023 | — | volatile |
| 163 | Germany | -103 1000 t | 2023 | down 128.9% | volatile |
| 164 | United Kingdom | -126 1000 t | 2023 | down 171.6% | volatile |
| 164 | United Kingdom of Great Britain and Northern Ireland | -126 1000 t | 2023 | down 171.6% | volatile |
| 166 | Australia and New Zealand | -329 1000 t | 2023 | down 344.6% | volatile |
| 166 | Australia | -329 1000 t | 2023 | down 344.6% | volatile |
| 168 | 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
- Southern Africa 10 1000 t
- Africa 8 1000 t
- Eastern Asia 2 1000 t
- Land Locked Developing Countries (LLDCs) 0 1000 t
- Low Income Food Deficit Countries (LIFDCs) 0 1000 t
- Small island developing States (SIDS) 0 1000 t
- Central Asia 0 1000 t
- Least Developed Countries (LDCs) -1 1000 t
- South-Eastern Asia -1 1000 t
- Eastern Africa -1 1000 t
- Northern Africa -2 1000 t
- Central America -2 1000 t
- Eastern Europe -6 1000 t
- Southern Europe -47 1000 t
- European Union (27) -75 1000 t
- Northern Europe -83 1000 t
- Western Europe -107 1000 t
- Europe -243 1000 t
- Oceania -329 1000 t
- Americas -1,287 1000 t
- Northern America -1,297 1000 t
- World -1,793 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.