Oats — Residuals 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 — Residuals is currently reported for 28 countries. The highest value is 17 1000 t in Mongolia; the lowest is -12 1000 t in Czechia.
The median across all reporting countries is 0 1000 t, and the mean is -0.4286 1000 t.
Over the past decade 1 countries rose and 3 fell. The largest increase was in Austria (up 100.0%), and the largest decrease in Norway (down 100.0%).
Oats — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Mongolia | 17 1000 t | 2023 | — | volatile |
| 2 | Kazakhstan | 14 1000 t | 2023 | — | volatile |
| 3 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 3 | South Africa | 0 1000 t | 2023 | — | volatile |
| 3 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 3 | United States | 0 1000 t | 2023 | — | volatile |
| 3 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 3 | Uganda | 0 1000 t | 2023 | — | volatile |
| 3 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 3 | Poland | 0 1000 t | 2023 | — | volatile |
| 3 | Norway | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Malta | 0 1000 t | 2023 | — | volatile |
| 3 | Luxembourg | 0 1000 t | 2023 | — | volatile |
| 3 | Sri Lanka | 0 1000 t | 2023 | — | volatile |
| 3 | Kuwait | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Guatemala | 0 1000 t | 2023 | — | volatile |
| 3 | Denmark | 0 1000 t | 2023 | — | volatile |
| 3 | Chile | 0 1000 t | 2023 | — | volatile |
| 3 | Austria | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 186 | Armenia | -1 1000 t | 2023 | — | volatile |
| 187 | Azerbaijan | -2 1000 t | 2023 | — | volatile |
| 188 | Spain | -3 1000 t | 2023 | — | volatile |
| 188 | Brazil | -3 1000 t | 2023 | — | volatile |
| 190 | China, mainland | -5 1000 t | 2023 | — | volatile |
| 190 | China | -5 1000 t | 2023 | — | volatile |
| 192 | Lithuania | -12 1000 t | 2023 | — | volatile |
| 192 | Czechia | -12 1000 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Land Locked Developing Countries (LLDCs) 28 1000 t
- Asia 24 1000 t
- Net Food Importing Developing Countries (NFIDCs) 17 1000 t
- Central Asia 14 1000 t
- Eastern Asia 12 1000 t
- Least Developed Countries (LDCs) 0 1000 t
- Central America 0 1000 t
- Western Europe 0 1000 t
- Eastern Africa 0 1000 t
- Africa 0 1000 t
- Southern Africa 0 1000 t
- Low Income Food Deficit Countries (LIFDCs) 0 1000 t
- United States of America 0 1000 t
- Southern Asia 0 1000 t
- Northern America 0 1000 t
- Americas -3 1000 t
- Western Asia -3 1000 t
- Southern Europe -3 1000 t
- South America -3 1000 t
- World -7 1000 t
- Northern Europe -12 1000 t
- Eastern Europe -12 1000 t
- Europe -27 1000 t
- European Union (27) -27 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.