Rye and products — Import quantity 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 — Import quantity is currently reported for 159 countries. The highest value is 494 1000 t in Germany; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 8.97 1000 t.
Over the past decade 11 countries rose and 29 fell. The largest increase was in Kazakhstan (up 500.0%), and the largest decrease in Chile (down 100.0%).
Rye and products — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 494 1000 t | 2023 | down 5.0% | rising |
| 2 | Spain | 189 1000 t | 2023 | down 10.4% | volatile |
| 3 | Netherlands (Kingdom of the) | 163 1000 t | 2023 | down 34.8% | flat |
| 4 | United Republic of Tanzania | 158 1000 t | 2022 | — | volatile |
| 5 | Latvia | 83 1000 t | 2023 | up 453.3% | volatile |
| 6 | Denmark | 40 1000 t | 2023 | down 60.8% | volatile |
| 7 | Portugal | 31 1000 t | 2023 | down 6.1% | flat |
| 8 | Czechia | 30 1000 t | 2023 | up 7.1% | falling |
| 9 | Belgium | 27 1000 t | 2023 | down 67.5% | falling |
| 10 | Italy | 24 1000 t | 2023 | down 22.6% | rising |
| 11 | Kazakhstan | 18 1000 t | 2023 | up 500.0% | volatile |
| 12 | Austria | 17 1000 t | 2023 | down 62.2% | falling |
| 13 | Sweden | 16 1000 t | 2023 | up 60.0% | volatile |
| 14 | France | 14 1000 t | 2023 | down 6.7% | falling |
| 15 | Estonia | 10 1000 t | 2023 | down 52.4% | falling |
| 16 | Poland | 9 1000 t | 2023 | up 12.5% | volatile |
| 16 | Türkiye | 9 1000 t | 2022 | — | volatile |
| 18 | Lithuania | 8 1000 t | 2023 | down 57.9% | volatile |
| 19 | United Kingdom of Great Britain and Northern Ireland | 7 1000 t | 2023 | down 22.2% | volatile |
| 20 | Bangladesh | 6 1000 t | 2022 | — | volatile |
| 20 | Republic of Korea | 6 1000 t | 2023 | down 45.5% | falling |
| 22 | Finland | 5 1000 t | 2023 | down 91.5% | volatile |
| 22 | Ireland | 5 1000 t | 2023 | — | volatile |
| 22 | Israel | 5 1000 t | 2023 | down 78.3% | volatile |
| 22 | Romania | 5 1000 t | 2023 | up 400.0% | volatile |
| 26 | Azerbaijan | 4 1000 t | 2023 | up 100.0% | volatile |
| 26 | Hungary | 4 1000 t | 2023 | down 55.6% | falling |
| 26 | Norway | 4 1000 t | 2023 | down 82.6% | volatile |
| 26 | Slovakia | 4 1000 t | 2023 | down 33.3% | volatile |
| 30 | Mongolia | 3 1000 t | 2021 | up 200.0% | volatile |
| 30 | Slovenia | 3 1000 t | 2023 | up 50.0% | falling |
| 30 | Iran (Islamic Republic of) | 3 1000 t | 2020 | — | volatile |
| 30 | Republic of Moldova | 3 1000 t | 2023 | down 25.0% | falling |
| 34 | Bosnia and Herzegovina | 2 1000 t | 2023 | unchanged | rising |
| 34 | Belarus | 2 1000 t | 2023 | — | volatile |
| 34 | Canada | 2 1000 t | 2023 | — | volatile |
| 34 | Georgia | 2 1000 t | 2023 | up 100.0% | volatile |
| 34 | Greece | 2 1000 t | 2023 | unchanged | rising |
| 34 | Croatia | 2 1000 t | 2023 | down 33.3% | falling |
| 34 | Serbia | 2 1000 t | 2023 | up 100.0% | volatile |
| 41 | Armenia | 1 1000 t | 2023 | — | volatile |
| 41 | Switzerland | 1 1000 t | 2023 | down 90.0% | volatile |
| 41 | Colombia | 1 1000 t | 2023 | unchanged | flat |
| 41 | Luxembourg | 1 1000 t | 2023 | — | falling |
| 41 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 46 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 46 | Angola | 0 1000 t | 2023 | — | flat |
| 46 | Albania | 0 1000 t | 2023 | — | flat |
| 46 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 46 | Argentina | 0 1000 t | 2022 | — | volatile |
| 46 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 46 | Australia | 0 1000 t | 2014 | — | volatile |
| 46 | Burkina Faso | 0 1000 t | 2018 | — | flat |
| 46 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 46 | Bahrain | 0 1000 t | 2023 | — | flat |
| 46 | Bahamas | 0 1000 t | 2023 | — | flat |
| 46 | Belize | 0 1000 t | 2021 | — | flat |
| 46 | Brazil | 0 1000 t | 2022 | — | flat |
| 46 | Barbados | 0 1000 t | 2022 | — | flat |
| 46 | Botswana | 0 1000 t | 2023 | — | volatile |
| 46 | Chile | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | China | 0 1000 t | 2023 | — | flat |
| 46 | Cameroon | 0 1000 t | 2023 | — | flat |
| 46 | Congo | 0 1000 t | 2023 | — | flat |
| 46 | Costa Rica | 0 1000 t | 2021 | — | flat |
| 46 | Cuba | 0 1000 t | 2016 | — | flat |
| 46 | Cyprus | 0 1000 t | 2023 | — | volatile |
| 46 | Djibouti | 0 1000 t | 2015 | — | flat |
| 46 | Algeria | 0 1000 t | 2021 | — | flat |
| 46 | Egypt | 0 1000 t | 2020 | down 100.0% | volatile |
| 46 | Ethiopia | 0 1000 t | 2019 | down 100.0% | volatile |
| 46 | Fiji | 0 1000 t | 2016 | — | flat |
| 46 | Gabon | 0 1000 t | 2023 | — | flat |
| 46 | Ghana | 0 1000 t | 2021 | — | flat |
| 46 | Gambia | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 46 | Grenada | 0 1000 t | 2023 | — | flat |
| 46 | Guatemala | 0 1000 t | 2022 | — | flat |
| 46 | Guyana | 0 1000 t | 2022 | — | flat |
| 46 | Honduras | 0 1000 t | 2021 | — | flat |
| 46 | Haiti | 0 1000 t | 2023 | — | flat |
| 46 | Indonesia | 0 1000 t | 2022 | — | flat |
| 46 | India | 0 1000 t | 2015 | — | flat |
| 46 | Iraq | 0 1000 t | 2023 | — | flat |
| 46 | Iceland | 0 1000 t | 2023 | — | volatile |
| 46 | Jamaica | 0 1000 t | 2023 | — | flat |
| 46 | Jordan | 0 1000 t | 2020 | — | flat |
| 46 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Kyrgyzstan | 0 1000 t | 2020 | down 100.0% | volatile |
| 46 | Cambodia | 0 1000 t | 2023 | — | flat |
| 46 | Saint Kitts and Nevis | 0 1000 t | 2021 | — | flat |
| 46 | Kuwait | 0 1000 t | 2021 | — | flat |
| 46 | Lebanon | 0 1000 t | 2023 | — | flat |
| 46 | Libya | 0 1000 t | 2022 | — | volatile |
| 46 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 46 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 46 | Lesotho | 0 1000 t | 2023 | — | flat |
| 46 | Morocco | 0 1000 t | 2023 | — | flat |
| 46 | Madagascar | 0 1000 t | 2022 | — | flat |
| 46 | Maldives | 0 1000 t | 2023 | — | flat |
| 46 | Mexico | 0 1000 t | 2018 | down 100.0% | volatile |
| 46 | Malta | 0 1000 t | 2023 | — | flat |
| 46 | Montenegro | 0 1000 t | 2023 | — | flat |
| 46 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 46 | Mauritania | 0 1000 t | 2015 | — | flat |
| 46 | Mauritius | 0 1000 t | 2023 | — | flat |
| 46 | Malawi | 0 1000 t | 2021 | — | flat |
| 46 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 46 | Namibia | 0 1000 t | 2023 | — | volatile |
| 46 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 46 | Niger | 0 1000 t | 2023 | — | flat |
| 46 | Nigeria | 0 1000 t | 2023 | — | flat |
| 46 | Nicaragua | 0 1000 t | 2015 | — | flat |
| 46 | Nepal | 0 1000 t | 2023 | — | volatile |
| 46 | New Zealand | 0 1000 t | 2023 | — | volatile |
| 46 | Oman | 0 1000 t | 2023 | — | volatile |
| 46 | Pakistan | 0 1000 t | 2018 | — | volatile |
| 46 | Panama | 0 1000 t | 2020 | — | flat |
| 46 | Philippines | 0 1000 t | 2017 | — | flat |
| 46 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 46 | Rwanda | 0 1000 t | 2022 | — | volatile |
| 46 | Saudi Arabia | 0 1000 t | 2022 | — | flat |
| 46 | Senegal | 0 1000 t | 2023 | — | flat |
| 46 | Sierra Leone | 0 1000 t | 2022 | — | flat |
| 46 | El Salvador | 0 1000 t | 2023 | — | flat |
| 46 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 46 | Suriname | 0 1000 t | 2018 | — | flat |
| 46 | Eswatini | 0 1000 t | 2023 | — | flat |
| 46 | Seychelles | 0 1000 t | 2023 | — | flat |
| 46 | Thailand | 0 1000 t | 2023 | — | flat |
| 46 | Tajikistan | 0 1000 t | 2019 | — | flat |
| 46 | Turkmenistan | 0 1000 t | 2021 | — | flat |
| 46 | Trinidad and Tobago | 0 1000 t | 2022 | — | flat |
| 46 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 46 | Uganda | 0 1000 t | 2023 | — | flat |
| 46 | Ukraine | 0 1000 t | 2023 | — | volatile |
| 46 | Uruguay | 0 1000 t | 2023 | — | flat |
| 46 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 46 | Saint Vincent and the Grenadines | 0 1000 t | 2021 | — | flat |
| 46 | Vanuatu | 0 1000 t | 2021 | — | flat |
| 46 | Samoa | 0 1000 t | 2023 | — | flat |
| 46 | Yemen | 0 1000 t | 2021 | — | volatile |
| 46 | Zambia | 0 1000 t | 2023 | — | flat |
| 46 | Zimbabwe | 0 1000 t | 2015 | — | flat |
| 46 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 46 | Melanesia | 0 1000 t | 2023 | — | flat |
| 46 | Polynesia | 0 1000 t | 2023 | — | flat |
| 46 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 46 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 46 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 46 | China, Hong Kong SAR | 0 1000 t | 2020 | — | flat |
| 46 | Russian Federation | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Viet Nam | 0 1000 t | 2023 | — | volatile |
| 46 | Australia and New Zealand | 0 1000 t | 2023 | — | volatile |
| 46 | China, mainland | 0 1000 t | 2022 | — | flat |
| 46 | Côte d'Ivoire | 0 1000 t | 2020 | — | flat |
| 46 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 46 | Democratic People's Republic of Korea | 0 1000 t | 2015 | — | flat |
| 46 | China, Macao SAR | 0 1000 t | 2018 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,598 1000 t
- Europe 1,210 1000 t
- European Union (27) 1,188 1000 t
- Western Europe 718 1000 t
- Americas 342 1000 t
- Northern America 341 1000 t
- United States of America 339 1000 t
- Southern Europe 255 1000 t
- Northern Europe 179 1000 t
- Eastern Europe 58 1000 t
- Asia 45 1000 t
- Land Locked Developing Countries (LLDCs) 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.