Oats — Losses 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 — Losses is currently reported for 61 countries. The highest value is 159 1000 t in Canada; the lowest is 0 1000 t in Slovenia.
The median across all reporting countries is 3 1000 t, and the mean is 16.23 1000 t.
Over the past decade 11 countries rose and 34 fell. The largest increase was in Croatia (up 100.0%), and the largest decrease in North Macedonia (down 100.0%).
Oats — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Canada | 159 1000 t | 2023 | down 26.0% | rising |
| 2 | Poland | 151 1000 t | 2023 | up 25.8% | rising |
| 3 | Finland | 61 1000 t | 2023 | down 16.4% | flat |
| 4 | China | 59 1000 t | 2023 | up 43.9% | rising |
| 4 | China, mainland | 59 1000 t | 2023 | up 43.9% | rising |
| 6 | United States | 51 1000 t | 2023 | down 17.7% | falling |
| 7 | Russia | 50 1000 t | 2023 | down 33.3% | falling |
| 7 | Russian Federation | 50 1000 t | 2023 | down 33.3% | falling |
| 9 | Türkiye | 44 1000 t | 2023 | up 25.7% | falling |
| 9 | Turkey | 44 1000 t | 2023 | up 25.7% | falling |
| 11 | Brazil | 27 1000 t | 2023 | down 15.6% | rising |
| 12 | Argentina | 26 1000 t | 2023 | up 30.0% | rising |
| 13 | Australia and New Zealand | 21 1000 t | 2023 | down 12.5% | rising |
| 13 | Chile | 21 1000 t | 2023 | down 50.0% | falling |
| 13 | Belarus | 21 1000 t | 2023 | down 4.5% | falling |
| 16 | Germany | 20 1000 t | 2023 | up 5.3% | rising |
| 17 | Australia | 19 1000 t | 2023 | down 13.6% | rising |
| 18 | Sweden | 10 1000 t | 2023 | — | volatile |
| 19 | Norway | 9 1000 t | 2023 | down 25.0% | falling |
| 20 | Ukraine | 7 1000 t | 2023 | unchanged | volatile |
| 21 | Denmark | 6 1000 t | 2023 | down 33.3% | rising |
| 22 | Italy | 5 1000 t | 2023 | down 16.7% | falling |
| 23 | Lithuania | 4 1000 t | 2023 | down 60.0% | falling |
| 23 | Ireland | 4 1000 t | 2023 | unchanged | rising |
| 23 | Algeria | 4 1000 t | 2023 | down 42.9% | falling |
| 23 | Greece | 4 1000 t | 2023 | up 33.3% | flat |
| 23 | United Kingdom | 4 1000 t | 2023 | down 20.0% | rising |
| 23 | United Kingdom of Great Britain and Northern Ireland | 4 1000 t | 2023 | down 20.0% | rising |
| 29 | Uruguay | 3 1000 t | 2023 | down 25.0% | flat |
| 29 | South Africa | 3 1000 t | 2023 | up 50.0% | falling |
| 29 | Ethiopia | 3 1000 t | 2023 | down 25.0% | falling |
| 32 | Morocco | 2 1000 t | 2023 | down 33.3% | volatile |
| 32 | Portugal | 2 1000 t | 2023 | down 50.0% | falling |
| 32 | Mexico | 2 1000 t | 2023 | down 66.7% | falling |
| 32 | Latvia | 2 1000 t | 2023 | down 33.3% | volatile |
| 32 | Croatia | 2 1000 t | 2023 | up 100.0% | rising |
| 32 | France | 2 1000 t | 2023 | down 33.3% | falling |
| 32 | Spain | 2 1000 t | 2023 | down 90.0% | volatile |
| 32 | Bosnia and Herzegovina | 2 1000 t | 2023 | unchanged | rising |
| 32 | Bulgaria | 2 1000 t | 2023 | unchanged | falling |
| 32 | Belgium | 2 1000 t | 2023 | — | volatile |
| 32 | Albania | 2 1000 t | 2023 | up 100.0% | rising |
| 43 | Democratic People's Republic of Korea | 1 1000 t | 2018 | unchanged | flat |
| 43 | Netherlands (Kingdom of the) | 1 1000 t | 2023 | unchanged | volatile |
| 43 | Austria | 1 1000 t | 2023 | down 66.7% | falling |
| 43 | Slovakia | 1 1000 t | 2023 | down 50.0% | falling |
| 43 | Serbia | 1 1000 t | 2023 | down 50.0% | volatile |
| 43 | Romania | 1 1000 t | 2023 | down 66.7% | volatile |
| 43 | Peru | 1 1000 t | 2023 | unchanged | flat |
| 43 | New Zealand | 1 1000 t | 2023 | unchanged | falling |
| 43 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | — | volatile |
| 43 | Kazakhstan | 1 1000 t | 2023 | down 90.9% | volatile |
| 43 | Hungary | 1 1000 t | 2023 | unchanged | falling |
| 43 | Estonia | 1 1000 t | 2023 | down 50.0% | volatile |
| 43 | Ecuador | 1 1000 t | 2023 | unchanged | flat |
| 43 | Czechia | 1 1000 t | 2023 | unchanged | rising |
| 43 | Switzerland | 1 1000 t | 2023 | — | volatile |
| 58 | North Macedonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 58 | Mongolia | 0 1000 t | 2023 | down 100.0% | volatile |
| 58 | Slovenia | 0 1000 t | 2023 | down 100.0% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 812 1000 t
- Europe 382 1000 t
- Americas 291 1000 t
- European Union (27) 286 1000 t
- Eastern Europe 234 1000 t
- Northern America 209 1000 t
- Asia 105 1000 t
- Northern Europe 101 1000 t
- South America 80 1000 t
- Eastern Asia 60 1000 t
- United States of America 51 1000 t
- Western Asia 44 1000 t
- Western Europe 27 1000 t
- Southern Europe 21 1000 t
- Oceania 21 1000 t
- Africa 12 1000 t
- Northern Africa 6 1000 t
- Land Locked Developing Countries (LLDCs) 6 1000 t
- Net Food Importing Developing Countries (NFIDCs) 6 1000 t
- Low Income Food Deficit Countries (LIFDCs) 4 1000 t
- Eastern Africa 3 1000 t
- Southern Africa 3 1000 t
- Least Developed Countries (LDCs) 3 1000 t
- Central America 2 1000 t
- Central Asia 1 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.