Rye and products — 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
Rye and products — Losses is currently reported for 66 countries. The highest value is 99 1000 t in Germany; the lowest is 0 1000 t in Italy.
The median across all reporting countries is 1 1000 t, and the mean is 6.61 1000 t.
Over the past decade 5 countries rose and 19 fell. The largest increase was in Argentina (up 300.0%), and the largest decrease in Bosnia and Herzegovina (down 100.0%).
Rye and products — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 99 1000 t | 2023 | down 14.7% | rising |
| 2 | Poland | 85 1000 t | 2023 | down 29.2% | falling |
| 3 | Belarus | 36 1000 t | 2023 | up 16.1% | falling |
| 4 | China, mainland | 34 1000 t | 2023 | down 17.1% | falling |
| 4 | China | 34 1000 t | 2023 | down 17.1% | falling |
| 6 | Türkiye | 33 1000 t | 2023 | down 15.4% | falling |
| 7 | Russian Federation | 28 1000 t | 2023 | down 73.3% | volatile |
| 8 | Canada | 17 1000 t | 2023 | up 88.9% | rising |
| 9 | Denmark | 11 1000 t | 2023 | down 31.2% | flat |
| 10 | Argentina | 8 1000 t | 2023 | up 300.0% | volatile |
| 11 | Egypt | 7 1000 t | 2023 | unchanged | flat |
| 12 | Czechia | 6 1000 t | 2023 | down 14.3% | falling |
| 13 | Finland | 4 1000 t | 2023 | up 300.0% | rising |
| 13 | United Kingdom of Great Britain and Northern Ireland | 4 1000 t | 2023 | up 300.0% | volatile |
| 15 | Democratic People's Republic of Korea | 3 1000 t | 2018 | unchanged | falling |
| 15 | Sweden | 3 1000 t | 2023 | unchanged | rising |
| 15 | Ukraine | 3 1000 t | 2023 | down 78.6% | falling |
| 15 | Austria | 3 1000 t | 2023 | down 50.0% | falling |
| 19 | France | 2 1000 t | 2023 | down 50.0% | volatile |
| 20 | Australia and New Zealand | 1 1000 t | 2023 | unchanged | falling |
| 20 | Slovenia | 1 1000 t | 2023 | unchanged | falling |
| 20 | Slovakia | 1 1000 t | 2023 | down 50.0% | falling |
| 20 | Serbia | 1 1000 t | 2023 | — | rising |
| 20 | Romania | 1 1000 t | 2023 | unchanged | falling |
| 20 | Albania | 1 1000 t | 2023 | — | volatile |
| 20 | Norway | 1 1000 t | 2023 | down 50.0% | volatile |
| 20 | Australia | 1 1000 t | 2023 | unchanged | falling |
| 20 | Bulgaria | 1 1000 t | 2023 | unchanged | falling |
| 20 | Spain | 1 1000 t | 2023 | down 66.7% | volatile |
| 20 | Portugal | 1 1000 t | 2023 | unchanged | flat |
| 20 | Latvia | 1 1000 t | 2023 | down 75.0% | volatile |
| 20 | Estonia | 1 1000 t | 2023 | unchanged | falling |
| 20 | Greece | 1 1000 t | 2023 | unchanged | falling |
| 20 | Lithuania | 1 1000 t | 2023 | down 50.0% | falling |
| 20 | Hungary | 1 1000 t | 2023 | unchanged | volatile |
| 36 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 36 | Cyprus | 0 1000 t | 2018 | — | flat |
| 36 | Chile | 0 1000 t | 2023 | — | flat |
| 36 | Switzerland | 0 1000 t | 2023 | — | volatile |
| 36 | Brazil | 0 1000 t | 2023 | — | volatile |
| 36 | Bosnia and Herzegovina | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 36 | Mexico | 0 1000 t | 2023 | — | flat |
| 36 | Bahrain | 0 1000 t | 2023 | — | flat |
| 36 | Turkmenistan | 0 1000 t | 2019 | — | flat |
| 36 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | — | volatile |
| 36 | Belgium | 0 1000 t | 2023 | — | flat |
| 36 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 36 | Montenegro | 0 1000 t | 2023 | — | flat |
| 36 | Armenia | 0 1000 t | 2023 | — | flat |
| 36 | Peru | 0 1000 t | 2023 | — | flat |
| 36 | Kazakhstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 36 | Ecuador | 0 1000 t | 2023 | — | flat |
| 36 | Viet Nam | 0 1000 t | 2019 | — | flat |
| 36 | Morocco | 0 1000 t | 2023 | — | flat |
| 36 | Republic of Moldova | 0 1000 t | 2022 | — | flat |
| 36 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 36 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | flat |
| 36 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 36 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 36 | Georgia | 0 1000 t | 2023 | — | flat |
| 36 | Luxembourg | 0 1000 t | 2023 | — | flat |
| 36 | Croatia | 0 1000 t | 2023 | — | flat |
| 36 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 36 | Ireland | 0 1000 t | 2023 | — | flat |
| 36 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 429 1000 t
- Europe 297 1000 t
- European Union (27) 223 1000 t
- Eastern Europe 160 1000 t
- Western Europe 105 1000 t
- Asia 84 1000 t
- Western Asia 45 1000 t
- Americas 40 1000 t
- Eastern Asia 38 1000 t
- Northern America 31 1000 t
- Northern Europe 26 1000 t
- United States of America 14 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.