Rye and products — Protein supply quantity (t) 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 — Protein supply quantity (t) is currently reported for 166 countries. The highest value is 88,952 t in Poland; the lowest is 0 t in United Republic of Tanzania.
The median across all reporting countries is 0.82 t, and the mean is 2,883 t.
Over the past decade 31 countries rose and 70 fell. The largest increase was in Gabon (up 608.3%), and the largest decrease in Cote d'Ivoire (down 100.0%).
Rye and products — Protein supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Poland | 88,952 t | 2023 | down 14.6% | falling |
| 2 | Germany | 59,425 t | 2023 | down 24.6% | falling |
| 3 | Russia | 54,515 t | 2023 | down 45.2% | falling |
| 3 | Russian Federation | 54,515 t | 2023 | down 45.2% | falling |
| 5 | United States | 29,448 t | 2023 | up 261.2% | rising |
| 6 | Turkey | 18,989 t | 2023 | down 23.4% | falling |
| 6 | Türkiye | 18,989 t | 2023 | down 23.4% | falling |
| 8 | Ukraine | 18,226 t | 2023 | down 51.9% | falling |
| 9 | Belarus | 15,976 t | 2023 | down 49.5% | falling |
| 10 | Sweden | 11,766 t | 2023 | up 11.9% | rising |
| 11 | Finland | 11,444 t | 2023 | up 13.8% | flat |
| 12 | China | 8,753 t | 2023 | down 16.6% | falling |
| 12 | China, mainland | 8,753 t | 2023 | down 16.5% | falling |
| 14 | Canada | 8,377 t | 2023 | up 119.8% | rising |
| 15 | Austria | 7,906 t | 2023 | down 17.1% | falling |
| 16 | Denmark | 7,758 t | 2023 | up 27.8% | falling |
| 17 | United Kingdom | 7,314 t | 2023 | up 226.8% | volatile |
| 17 | United Kingdom of Great Britain and Northern Ireland | 7,314 t | 2023 | up 226.8% | volatile |
| 19 | Czechia | 5,826 t | 2023 | down 40.6% | falling |
| 20 | Latvia | 4,095 t | 2023 | up 16.7% | flat |
| 21 | Lithuania | 3,422 t | 2023 | down 14.0% | falling |
| 22 | Portugal | 3,142 t | 2023 | down 18.2% | falling |
| 23 | France | 2,573 t | 2023 | up 20.4% | rising |
| 24 | Spain | 2,402 t | 2023 | down 24.0% | rising |
| 25 | Serbia | 2,161 t | 2023 | up 28.9% | rising |
| 26 | Romania | 2,083 t | 2023 | up 34.6% | rising |
| 27 | Slovakia | 1,528 t | 2023 | down 54.3% | falling |
| 28 | Norway | 1,493 t | 2023 | down 51.7% | falling |
| 29 | Kazakhstan | 1,351 t | 2023 | down 35.8% | falling |
| 30 | Estonia | 1,297 t | 2023 | down 45.9% | falling |
| 31 | Italy | 1,263 t | 2023 | up 145.4% | rising |
| 32 | Belgium | 1,125 t | 2023 | up 81.4% | rising |
| 33 | Netherlands (Kingdom of the) | 522.15 t | 2023 | up 52.6% | volatile |
| 34 | Switzerland | 516.58 t | 2023 | down 44.5% | falling |
| 35 | Hungary | 477.66 t | 2023 | down 50.9% | falling |
| 36 | Moldova | 381.97 t | 2023 | down 13.9% | falling |
| 36 | Republic of Moldova | 381.97 t | 2023 | down 13.9% | falling |
| 38 | Chile | 367.28 t | 2023 | down 2.8% | rising |
| 39 | Mongolia | 361.63 t | 2021 | up 170.9% | volatile |
| 40 | Ireland | 349.37 t | 2023 | up 538.7% | volatile |
| 41 | Slovenia | 307.76 t | 2023 | down 32.6% | falling |
| 42 | Croatia | 299.63 t | 2023 | up 5.9% | falling |
| 43 | Bosnia and Herzegovina | 284.67 t | 2023 | down 38.0% | falling |
| 44 | Azerbaijan | 211.39 t | 2023 | down 8.7% | volatile |
| 45 | Albania | 192.73 t | 2023 | up 250.4% | rising |
| 46 | Brazil | 192.06 t | 2023 | down 22.9% | rising |
| 47 | Greece | 184.5 t | 2023 | down 35.8% | falling |
| 48 | Morocco | 178.75 t | 2023 | down 5.9% | falling |
| 49 | Armenia | 156.76 t | 2023 | up 51.1% | rising |
| 50 | Georgia | 141.32 t | 2023 | up 90.4% | volatile |
| 51 | South Africa | 128.81 t | 2023 | down 2.0% | falling |
| 52 | Egypt | 114.44 t | 2023 | — | volatile |
| 53 | Australia and New Zealand | 102.89 t | 2023 | up 197.2% | rising |
| 54 | Bulgaria | 89.31 t | 2023 | up 80.0% | volatile |
| 55 | Australia | 69.81 t | 2023 | up 101.6% | rising |
| 56 | Luxembourg | 66.61 t | 2023 | up 19.8% | falling |
| 57 | North Macedonia | 50.74 t | 2023 | down 42.0% | falling |
| 58 | Iran (Islamic Republic of) | 38.86 t | 2023 | down 22.7% | volatile |
| 59 | Montenegro | 34.44 t | 2023 | down 15.0% | falling |
| 60 | Republic of Korea | 33.67 t | 2023 | — | volatile |
| 61 | New Zealand | 33.07 t | 2023 | — | volatile |
| 62 | Iceland | 27 t | 2023 | up 4.3% | volatile |
| 63 | Bolivia (Plurinational State of) | 24.44 t | 2023 | up 162.0% | rising |
| 64 | Tajikistan | 22.37 t | 2023 | — | volatile |
| 65 | Mozambique | 16.47 t | 2023 | up 569.5% | volatile |
| 66 | Namibia | 15.87 t | 2023 | up 19.0% | volatile |
| 67 | Vietnam | 14.33 t | 2023 | — | volatile |
| 67 | Viet Nam | 14.33 t | 2023 | — | volatile |
| 69 | Tunisia | 9.8 t | 2023 | — | volatile |
| 70 | United Arab Emirates | 9.35 t | 2023 | — | volatile |
| 71 | Israel | 6.56 t | 2023 | down 79.9% | volatile |
| 72 | Ecuador | 5.46 t | 2023 | down 9.8% | falling |
| 73 | Cyprus | 3.6 t | 2023 | up 263.6% | volatile |
| 74 | Peru | 3.48 t | 2023 | down 57.2% | falling |
| 75 | Uruguay | 3.05 t | 2023 | down 28.6% | volatile |
| 76 | Democratic People's Republic of Korea | 2.18 t | 2018 | — | volatile |
| 77 | Mauritius | 1.97 t | 2023 | — | volatile |
| 78 | Barbados | 1.46 t | 2019 | up 563.6% | volatile |
| 79 | New Caledonia | 1.14 t | 2023 | down 24.0% | volatile |
| 79 | Melanesia | 1.14 t | 2023 | down 30.1% | volatile |
| 81 | Saint Kitts and Nevis | 1.1 t | 2021 | — | volatile |
| 82 | Senegal | 0.94 t | 2023 | — | volatile |
| 83 | Gabon | 0.85 t | 2023 | up 608.3% | volatile |
| 84 | Cambodia | 0.79 t | 2023 | — | volatile |
| 85 | Caribbean | 0.39 t | 2023 | down 11.4% | volatile |
| 86 | Saint Lucia | 0.35 t | 2023 | — | volatile |
| 87 | Uzbekistan | 0.34 t | 2023 | — | volatile |
| 88 | Polynesia | 0.28 t | 2023 | — | volatile |
| 89 | Angola | 0.26 t | 2023 | down 90.0% | volatile |
| 90 | Samoa | 0.22 t | 2023 | — | volatile |
| 91 | China, Macao SAR | 0.21 t | 2018 | — | volatile |
| 92 | Kyrgyzstan | 0.18 t | 2023 | down 99.7% | volatile |
| 93 | Iraq | 0.13 t | 2023 | — | volatile |
| 94 | Panama | 0.12 t | 2019 | down 47.8% | volatile |
| 95 | El Salvador | 0.1 t | 2023 | — | volatile |
| 96 | Congo | 0.08 t | 2023 | — | volatile |
| 97 | Tonga | 0.06 t | 2023 | — | volatile |
| 98 | Sao Tome and Principe | 0.05 t | 2023 | down 58.3% | volatile |
| 99 | Afghanistan | 0.03 t | 2023 | — | volatile |
| 99 | Cameroon | 0.03 t | 2023 | — | volatile |
| 99 | Nigeria | 0.03 t | 2023 | — | volatile |
| 102 | Fiji | 0.02 t | 2020 | down 99.6% | volatile |
| 103 | Antigua and Barbuda | 0.01 t | 2023 | down 90.9% | volatile |
| 103 | Bahrain | 0.01 t | 2023 | — | volatile |
| 103 | Grenada | 0.01 t | 2023 | — | volatile |
| 103 | Kuwait | 0.01 t | 2021 | — | volatile |
| 103 | Liberia | 0.01 t | 2021 | — | volatile |
| 103 | Sierra Leone | 0.01 t | 2022 | — | volatile |
| 103 | Seychelles | 0.01 t | 2023 | — | volatile |
| 103 | Democratic Republic of the Congo | 0.01 t | 2023 | — | volatile |
| 111 | Burkina Faso | 0 t | 2023 | — | volatile |
| 111 | Bangladesh | 0 t | 2023 | — | volatile |
| 111 | Bahamas | 0 t | 2023 | — | volatile |
| 111 | Bhutan | 0 t | 2023 | — | volatile |
| 111 | Botswana | 0 t | 2023 | — | volatile |
| 111 | Cote d'Ivoire | 0 t | 2023 | down 100.0% | volatile |
| 111 | Colombia | 0 t | 2023 | down 100.0% | volatile |
| 111 | Costa Rica | 0 t | 2021 | down 100.0% | volatile |
| 111 | Cuba | 0 t | 2019 | down 100.0% | volatile |
| 111 | Djibouti | 0 t | 2020 | — | volatile |
| 111 | Algeria | 0 t | 2023 | — | volatile |
| 111 | Ethiopia | 0 t | 2023 | down 100.0% | volatile |
| 111 | Ghana | 0 t | 2023 | — | volatile |
| 111 | Gambia | 0 t | 2023 | down 100.0% | volatile |
| 111 | Guinea-Bissau | 0 t | 2023 | down 100.0% | volatile |
| 111 | Guatemala | 0 t | 2023 | — | volatile |
| 111 | Guyana | 0 t | 2023 | — | volatile |
| 111 | Honduras | 0 t | 2021 | — | volatile |
| 111 | Haiti | 0 t | 2023 | — | volatile |
| 111 | Indonesia | 0 t | 2023 | — | volatile |
| 111 | Kenya | 0 t | 2023 | down 100.0% | volatile |
| 111 | Laos | 0 t | 2023 | down 100.0% | volatile |
| 111 | Lebanon | 0 t | 2023 | — | volatile |
| 111 | Libya | 0 t | 2023 | — | volatile |
| 111 | Sri Lanka | 0 t | 2023 | down 100.0% | volatile |
| 111 | Lesotho | 0 t | 2023 | down 100.0% | volatile |
| 111 | Madagascar | 0 t | 2023 | down 100.0% | volatile |
| 111 | Maldives | 0 t | 2023 | — | volatile |
| 111 | Mexico | 0 t | 2023 | down 100.0% | volatile |
| 111 | Marshall Islands | 0 t | 2023 | — | volatile |
| 111 | Malta | 0 t | 2023 | — | volatile |
| 111 | Mauritania | 0 t | 2023 | — | volatile |
| 111 | Malawi | 0 t | 2023 | — | volatile |
| 111 | Niger | 0 t | 2023 | — | volatile |
| 111 | Nepal | 0 t | 2023 | down 100.0% | volatile |
| 111 | Oman | 0 t | 2023 | down 100.0% | volatile |
| 111 | Philippines | 0 t | 2023 | down 100.0% | volatile |
| 111 | French Polynesia | 0 t | 2023 | — | volatile |
| 111 | Rwanda | 0 t | 2023 | — | volatile |
| 111 | Saudi Arabia | 0 t | 2023 | — | volatile |
| 111 | Suriname | 0 t | 2019 | — | volatile |
| 111 | Eswatini | 0 t | 2023 | down 100.0% | volatile |
| 111 | Syria | 0 t | 2020 | down 100.0% | volatile |
| 111 | Thailand | 0 t | 2023 | — | volatile |
| 111 | Turkmenistan | 0 t | 2023 | down 100.0% | volatile |
| 111 | Uganda | 0 t | 2023 | — | volatile |
| 111 | Yemen | 0 t | 2023 | — | volatile |
| 111 | Zambia | 0 t | 2023 | down 100.0% | volatile |
| 111 | Zimbabwe | 0 t | 2023 | — | volatile |
| 111 | Micronesia | 0 t | 2023 | — | volatile |
| 111 | Cabo Verde | 0 t | 2023 | — | volatile |
| 111 | Syrian Arab Republic | 0 t | 2020 | down 100.0% | volatile |
| 111 | Venezuela (Bolivarian Republic of) | 0 t | 2023 | — | volatile |
| 111 | Côte d'Ivoire | 0 t | 2023 | down 100.0% | volatile |
| 111 | Lao People's Democratic Republic | 0 t | 2023 | down 100.0% | volatile |
| 111 | United Republic of Tanzania | 0 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 393,490 t
- Europe 319,477 t
- European Union (27) 218,307 t
- Eastern Europe 188,055 t
- Western Europe 72,134 t
- Northern Europe 48,966 t
- Americas 38,421 t
- Northern America 37,825 t
- Asia 35,019 t
- United States of America 29,448 t
- Western Asia 19,518 t
- Eastern Asia 14,073 t
- Southern Europe 10,322 t
- Low Income Food Deficit Countries (LIFDCs) 5,326 t
- Land Locked Developing Countries (LLDCs) 2,199 t
- Central Asia 1,374 t
- South America 595.77 t
- Africa 468.56 t
- Net Food Importing Developing Countries (NFIDCs) 344.68 t
- Northern Africa 302.98 t
- Southern Africa 144.68 t
- Oceania 104.31 t
- Southern Asia 38.89 t
- Least Developed Countries (LDCs) 18.77 t
- Eastern Africa 18.45 t
- South-Eastern Asia 15.12 t
- Small island developing States (SIDS) 3.84 t
- Middle Africa 1.28 t
- Western Africa 1.18 t
- Central America 0.1 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.