Rye and products — 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
Rye and products — Stock Variation is currently reported for 125 countries. The highest value is 97 1000 t in Germany; the lowest is -117 1000 t in Poland.
The median across all reporting countries is 0 1000 t, and the mean is -1.56 1000 t.
Over the past decade 12 countries rose and 15 fell. The largest increase was in Latvia (up 533.3%), and the largest decrease in Norway (down 1,000.0%).
Rye and products — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 97 1000 t | 2023 | up 147.3% | volatile |
| 2 | Latvia | 65 1000 t | 2023 | up 533.3% | volatile |
| 3 | Belarus | 28 1000 t | 2023 | up 153.8% | volatile |
| 4 | Sweden | 16 1000 t | 2023 | up 100.0% | volatile |
| 5 | Austria | 11 1000 t | 2023 | down 42.1% | volatile |
| 6 | Hungary | 10 1000 t | 2023 | down 54.5% | volatile |
| 6 | Netherlands (Kingdom of the) | 10 1000 t | 2023 | down 79.2% | volatile |
| 8 | Slovakia | 6 1000 t | 2023 | down 60.0% | volatile |
| 9 | Iraq | 4 1000 t | 2023 | — | volatile |
| 9 | Democratic People's Republic of Korea | 4 1000 t | 2018 | down 20.0% | volatile |
| 11 | Switzerland | 3 1000 t | 2023 | up 50.0% | volatile |
| 11 | United Kingdom of Great Britain and Northern Ireland | 3 1000 t | 2023 | up 400.0% | volatile |
| 13 | Egypt | 2 1000 t | 2023 | unchanged | volatile |
| 13 | Italy | 2 1000 t | 2023 | down 50.0% | volatile |
| 15 | Luxembourg | 1 1000 t | 2023 | — | volatile |
| 16 | Albania | 0 1000 t | 2023 | — | flat |
| 16 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 16 | Argentina | 0 1000 t | 2023 | — | flat |
| 16 | Armenia | 0 1000 t | 2023 | — | volatile |
| 16 | Australia | 0 1000 t | 2023 | — | flat |
| 16 | Azerbaijan | 0 1000 t | 2023 | — | flat |
| 16 | Belgium | 0 1000 t | 2023 | — | flat |
| 16 | Burkina Faso | 0 1000 t | 2018 | — | flat |
| 16 | Bulgaria | 0 1000 t | 2023 | up 100.0% | volatile |
| 16 | Bahrain | 0 1000 t | 2023 | — | flat |
| 16 | Bahamas | 0 1000 t | 2023 | — | flat |
| 16 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | volatile |
| 16 | Belize | 0 1000 t | 2021 | — | flat |
| 16 | Brazil | 0 1000 t | 2023 | — | volatile |
| 16 | Botswana | 0 1000 t | 2023 | — | flat |
| 16 | Chile | 0 1000 t | 2023 | — | flat |
| 16 | Cameroon | 0 1000 t | 2021 | — | flat |
| 16 | Colombia | 0 1000 t | 2023 | — | flat |
| 16 | Cyprus | 0 1000 t | 2023 | — | flat |
| 16 | Czechia | 0 1000 t | 2023 | — | volatile |
| 16 | Ecuador | 0 1000 t | 2023 | — | flat |
| 16 | Estonia | 0 1000 t | 2023 | up 100.0% | volatile |
| 16 | Ethiopia | 0 1000 t | 2021 | — | flat |
| 16 | Fiji | 0 1000 t | 2020 | — | flat |
| 16 | Georgia | 0 1000 t | 2023 | — | flat |
| 16 | Ghana | 0 1000 t | 2023 | — | flat |
| 16 | Gambia | 0 1000 t | 2023 | — | flat |
| 16 | Greece | 0 1000 t | 2023 | — | volatile |
| 16 | Guatemala | 0 1000 t | 2023 | — | flat |
| 16 | Guyana | 0 1000 t | 2023 | — | flat |
| 16 | Croatia | 0 1000 t | 2023 | — | flat |
| 16 | Indonesia | 0 1000 t | 2023 | — | flat |
| 16 | India | 0 1000 t | 2023 | — | flat |
| 16 | Ireland | 0 1000 t | 2023 | — | flat |
| 16 | Iceland | 0 1000 t | 2023 | — | flat |
| 16 | Israel | 0 1000 t | 2023 | — | flat |
| 16 | Jamaica | 0 1000 t | 2023 | — | flat |
| 16 | Jordan | 0 1000 t | 2021 | — | flat |
| 16 | Kenya | 0 1000 t | 2023 | — | flat |
| 16 | Kyrgyzstan | 0 1000 t | 2023 | — | flat |
| 16 | Kuwait | 0 1000 t | 2021 | — | flat |
| 16 | Lebanon | 0 1000 t | 2023 | — | flat |
| 16 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 16 | Lithuania | 0 1000 t | 2023 | up 100.0% | volatile |
| 16 | Morocco | 0 1000 t | 2023 | — | flat |
| 16 | Maldives | 0 1000 t | 2023 | — | flat |
| 16 | Mexico | 0 1000 t | 2023 | — | flat |
| 16 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 16 | Malta | 0 1000 t | 2023 | — | flat |
| 16 | Montenegro | 0 1000 t | 2023 | — | flat |
| 16 | Mauritius | 0 1000 t | 2023 | — | flat |
| 16 | Malawi | 0 1000 t | 2023 | — | flat |
| 16 | Malaysia | 0 1000 t | 2023 | — | flat |
| 16 | Namibia | 0 1000 t | 2023 | — | flat |
| 16 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 16 | Nigeria | 0 1000 t | 2023 | — | flat |
| 16 | Nepal | 0 1000 t | 2023 | — | flat |
| 16 | New Zealand | 0 1000 t | 2023 | — | flat |
| 16 | Oman | 0 1000 t | 2023 | — | flat |
| 16 | Pakistan | 0 1000 t | 2023 | — | flat |
| 16 | Panama | 0 1000 t | 2020 | — | flat |
| 16 | Peru | 0 1000 t | 2023 | — | flat |
| 16 | Philippines | 0 1000 t | 2020 | — | flat |
| 16 | Portugal | 0 1000 t | 2023 | — | volatile |
| 16 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 16 | Romania | 0 1000 t | 2023 | up 100.0% | volatile |
| 16 | Rwanda | 0 1000 t | 2023 | — | flat |
| 16 | Senegal | 0 1000 t | 2023 | — | flat |
| 16 | Serbia | 0 1000 t | 2023 | — | flat |
| 16 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 16 | Eswatini | 0 1000 t | 2023 | — | flat |
| 16 | Seychelles | 0 1000 t | 2023 | — | flat |
| 16 | Thailand | 0 1000 t | 2023 | — | flat |
| 16 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 16 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 16 | Tonga | 0 1000 t | 2023 | — | flat |
| 16 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 16 | Uganda | 0 1000 t | 2023 | — | flat |
| 16 | Uruguay | 0 1000 t | 2023 | — | flat |
| 16 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 16 | Zambia | 0 1000 t | 2023 | — | flat |
| 16 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 16 | Melanesia | 0 1000 t | 2023 | — | flat |
| 16 | Polynesia | 0 1000 t | 2023 | — | flat |
| 16 | Democratic Republic of the Congo | 0 1000 t | 2020 | — | flat |
| 16 | Caribbean | 0 1000 t | 2023 | — | flat |
| 16 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 16 | China, Hong Kong SAR | 0 1000 t | 2020 | — | flat |
| 16 | Iran (Islamic Republic of) | 0 1000 t | 2023 | — | volatile |
| 16 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 16 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 16 | Syrian Arab Republic | 0 1000 t | 2020 | — | flat |
| 16 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 16 | Australia and New Zealand | 0 1000 t | 2023 | — | flat |
| 16 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 16 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 16 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 113 | China | -1 1000 t | 2023 | up 66.7% | volatile |
| 113 | Kazakhstan | -1 1000 t | 2023 | down 120.0% | volatile |
| 113 | China, mainland | -1 1000 t | 2023 | up 66.7% | volatile |
| 116 | France | -2 1000 t | 2023 | down 100.0% | volatile |
| 117 | Norway | -9 1000 t | 2023 | down 1,000.0% | volatile |
| 118 | Denmark | -17 1000 t | 2023 | down 122.4% | volatile |
| 119 | Spain | -22 1000 t | 2023 | down 246.7% | volatile |
| 120 | Finland | -26 1000 t | 2023 | down 188.9% | volatile |
| 121 | Türkiye | -49 1000 t | 2023 | down 258.1% | volatile |
| 122 | Ukraine | -50 1000 t | 2023 | down 31.6% | volatile |
| 123 | Canada | -72 1000 t | 2023 | — | volatile |
| 124 | Russian Federation | -90 1000 t | 2023 | — | volatile |
| 125 | Poland | -117 1000 t | 2023 | down 123.6% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Western Europe 121 1000 t
- European Union (27) 35 1000 t
- Northern Europe 32 1000 t
- Africa 2 1000 t
- Northern Africa 2 1000 t
- Net Food Importing Developing Countries (NFIDCs) 2 1000 t
- South Africa 0 1000 t
- Oceania 0 1000 t
- South America 0 1000 t
- Small Island Developing States (SIDS) 0 1000 t
- Least Developed Countries (LDCs) 0 1000 t
- Eastern 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.