Barley and products — Export 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
Barley and products — Export quantity is currently reported for 151 countries. The highest value is 9,210 1000 t in Australia and New Zealand; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 0 1000 t, and the mean is 393.48 1000 t.
Over the past decade 34 countries rose and 25 fell. The largest increase was in Greece (up 1,000.0%), and the largest decrease in Brazil (down 100.0%).
Barley and products — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia and New Zealand | 9,210 1000 t | 2023 | up 50.1% | rising |
| 2 | Australia | 9,207 1000 t | 2023 | up 50.2% | rising |
| 3 | France | 8,174 1000 t | 2023 | up 1.4% | rising |
| 4 | Germany | 4,493 1000 t | 2023 | up 27.4% | rising |
| 5 | Russian Federation | 3,537 1000 t | 2023 | up 50.4% | rising |
| 6 | Argentina | 3,512 1000 t | 2023 | down 14.6% | rising |
| 7 | Canada | 3,200 1000 t | 2023 | up 59.6% | rising |
| 8 | Romania | 2,280 1000 t | 2023 | up 101.1% | rising |
| 9 | Ukraine | 2,198 1000 t | 2023 | down 6.5% | rising |
| 10 | Kazakhstan | 1,315 1000 t | 2023 | up 443.4% | volatile |
| 11 | Hungary | 1,171 1000 t | 2023 | up 136.6% | rising |
| 12 | United Kingdom of Great Britain and Northern Ireland | 1,142 1000 t | 2023 | up 5.8% | rising |
| 13 | Denmark | 1,130 1000 t | 2023 | up 11.9% | flat |
| 14 | Belgium | 898 1000 t | 2023 | down 19.9% | falling |
| 15 | Uruguay | 766 1000 t | 2023 | up 63.0% | rising |
| 16 | Czechia | 739 1000 t | 2023 | up 20.6% | flat |
| 17 | Netherlands (Kingdom of the) | 653 1000 t | 2023 | up 27.0% | rising |
| 18 | China | 620 1000 t | 2023 | up 49.4% | rising |
| 18 | Poland | 620 1000 t | 2023 | up 89.0% | rising |
| 18 | China, mainland | 620 1000 t | 2023 | up 49.8% | rising |
| 21 | Bulgaria | 531 1000 t | 2023 | up 28.0% | falling |
| 22 | Sweden | 518 1000 t | 2023 | down 9.6% | falling |
| 23 | Slovakia | 439 1000 t | 2023 | up 34.3% | rising |
| 24 | Spain | 371 1000 t | 2023 | up 166.9% | rising |
| 25 | Lithuania | 322 1000 t | 2023 | down 4.5% | rising |
| 26 | Croatia | 183 1000 t | 2023 | up 325.6% | volatile |
| 27 | Estonia | 180 1000 t | 2023 | up 4.0% | rising |
| 28 | Republic of Moldova | 144 1000 t | 2023 | up 15.2% | rising |
| 29 | Austria | 139 1000 t | 2023 | down 22.3% | flat |
| 29 | Portugal | 139 1000 t | 2023 | up 969.2% | volatile |
| 31 | Latvia | 123 1000 t | 2023 | down 9.6% | falling |
| 32 | Ireland | 117 1000 t | 2023 | up 7.3% | flat |
| 33 | Serbia | 109 1000 t | 2023 | up 202.8% | volatile |
| 34 | Finland | 96 1000 t | 2023 | down 46.7% | volatile |
| 35 | Türkiye | 78 1000 t | 2023 | — | volatile |
| 36 | Thailand | 49 1000 t | 2023 | — | volatile |
| 37 | United Arab Emirates | 48 1000 t | 2023 | up 140.0% | volatile |
| 38 | Indonesia | 44 1000 t | 2023 | up 18.9% | flat |
| 39 | United Republic of Tanzania | 36 1000 t | 2023 | — | volatile |
| 40 | Kenya | 35 1000 t | 2023 | up 250.0% | volatile |
| 41 | Colombia | 33 1000 t | 2023 | up 230.0% | volatile |
| 42 | India | 31 1000 t | 2023 | down 94.4% | volatile |
| 43 | Philippines | 19 1000 t | 2023 | down 42.4% | volatile |
| 44 | Italy | 18 1000 t | 2023 | down 37.9% | rising |
| 44 | Slovenia | 18 1000 t | 2023 | up 100.0% | volatile |
| 46 | Chile | 12 1000 t | 2023 | down 81.8% | falling |
| 46 | North Macedonia | 12 1000 t | 2023 | up 300.0% | volatile |
| 48 | Greece | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 48 | Luxembourg | 11 1000 t | 2023 | down 15.4% | falling |
| 48 | Viet Nam | 11 1000 t | 2023 | — | volatile |
| 51 | Egypt | 9 1000 t | 2023 | down 18.2% | volatile |
| 52 | Jordan | 7 1000 t | 2020 | up 600.0% | volatile |
| 53 | Uganda | 6 1000 t | 2023 | down 50.0% | volatile |
| 54 | Belarus | 5 1000 t | 2023 | down 68.8% | volatile |
| 55 | Afghanistan | 3 1000 t | 2023 | — | rising |
| 55 | Malta | 3 1000 t | 2017 | — | volatile |
| 55 | New Zealand | 3 1000 t | 2023 | down 57.1% | volatile |
| 55 | Zambia | 3 1000 t | 2023 | down 76.9% | volatile |
| 55 | Zimbabwe | 3 1000 t | 2023 | down 70.0% | volatile |
| 60 | Azerbaijan | 2 1000 t | 2023 | — | volatile |
| 60 | Peru | 2 1000 t | 2023 | — | volatile |
| 62 | Switzerland | 1 1000 t | 2023 | unchanged | volatile |
| 62 | Dominican Republic | 1 1000 t | 2023 | — | volatile |
| 62 | Honduras | 1 1000 t | 2023 | — | volatile |
| 62 | Liberia | 1 1000 t | 2019 | — | volatile |
| 62 | Caribbean | 1 1000 t | 2023 | — | volatile |
| 62 | Iran (Islamic Republic of) | 1 1000 t | 2023 | — | volatile |
| 62 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 69 | Angola | 0 1000 t | 2023 | — | flat |
| 69 | Albania | 0 1000 t | 2023 | — | flat |
| 69 | Armenia | 0 1000 t | 2023 | — | flat |
| 69 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 69 | Burkina Faso | 0 1000 t | 2015 | — | flat |
| 69 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 69 | Bahamas | 0 1000 t | 2018 | — | flat |
| 69 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 69 | Belize | 0 1000 t | 2018 | — | flat |
| 69 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | Barbados | 0 1000 t | 2021 | — | flat |
| 69 | Botswana | 0 1000 t | 2023 | — | flat |
| 69 | Cameroon | 0 1000 t | 2023 | — | flat |
| 69 | Congo | 0 1000 t | 2023 | — | flat |
| 69 | Comoros | 0 1000 t | 2016 | — | flat |
| 69 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 69 | Cyprus | 0 1000 t | 2021 | — | flat |
| 69 | Algeria | 0 1000 t | 2023 | — | volatile |
| 69 | Ecuador | 0 1000 t | 2023 | — | flat |
| 69 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 69 | Fiji | 0 1000 t | 2021 | — | flat |
| 69 | Georgia | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | Ghana | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | Grenada | 0 1000 t | 2023 | — | flat |
| 69 | Guatemala | 0 1000 t | 2023 | — | flat |
| 69 | Guyana | 0 1000 t | 2023 | — | flat |
| 69 | Iraq | 0 1000 t | 2023 | — | flat |
| 69 | Iceland | 0 1000 t | 2023 | — | flat |
| 69 | Israel | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | Jamaica | 0 1000 t | 2023 | — | flat |
| 69 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 69 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 69 | Saint Kitts and Nevis | 0 1000 t | 2022 | — | flat |
| 69 | Kuwait | 0 1000 t | 2021 | — | flat |
| 69 | Lebanon | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | Libya | 0 1000 t | 2023 | — | flat |
| 69 | Saint Lucia | 0 1000 t | 2020 | — | flat |
| 69 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 69 | Lesotho | 0 1000 t | 2022 | — | flat |
| 69 | Morocco | 0 1000 t | 2023 | — | flat |
| 69 | Mexico | 0 1000 t | 2022 | — | volatile |
| 69 | Myanmar | 0 1000 t | 2022 | — | volatile |
| 69 | Montenegro | 0 1000 t | 2019 | — | flat |
| 69 | Mongolia | 0 1000 t | 2021 | — | volatile |
| 69 | Mozambique | 0 1000 t | 2023 | — | flat |
| 69 | Mauritius | 0 1000 t | 2023 | — | flat |
| 69 | Malawi | 0 1000 t | 2023 | — | flat |
| 69 | Malaysia | 0 1000 t | 2023 | — | flat |
| 69 | Namibia | 0 1000 t | 2023 | — | flat |
| 69 | New Caledonia | 0 1000 t | 2021 | — | flat |
| 69 | Niger | 0 1000 t | 2019 | — | flat |
| 69 | Nigeria | 0 1000 t | 2023 | — | flat |
| 69 | Nicaragua | 0 1000 t | 2022 | — | flat |
| 69 | Norway | 0 1000 t | 2023 | — | volatile |
| 69 | Nepal | 0 1000 t | 2020 | — | flat |
| 69 | Oman | 0 1000 t | 2023 | — | volatile |
| 69 | Pakistan | 0 1000 t | 2023 | — | volatile |
| 69 | Panama | 0 1000 t | 2019 | — | flat |
| 69 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 69 | Paraguay | 0 1000 t | 2023 | — | volatile |
| 69 | French Polynesia | 0 1000 t | 2021 | — | flat |
| 69 | Rwanda | 0 1000 t | 2023 | — | flat |
| 69 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 69 | Senegal | 0 1000 t | 2023 | down 100.0% | volatile |
| 69 | Solomon Islands | 0 1000 t | 2018 | — | flat |
| 69 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 69 | El Salvador | 0 1000 t | 2023 | — | flat |
| 69 | Eswatini | 0 1000 t | 2021 | — | flat |
| 69 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 69 | Tunisia | 0 1000 t | 2023 | — | flat |
| 69 | Uzbekistan | 0 1000 t | 2023 | — | volatile |
| 69 | Saint Vincent and the Grenadines | 0 1000 t | 2022 | — | flat |
| 69 | Yemen | 0 1000 t | 2023 | — | volatile |
| 69 | Melanesia | 0 1000 t | 2023 | — | flat |
| 69 | Polynesia | 0 1000 t | 2023 | — | flat |
| 69 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 69 | Bolivia (Plurinational State of) | 0 1000 t | 2021 | — | flat |
| 69 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 69 | Republic of Korea | 0 1000 t | 2023 | — | volatile |
| 69 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2021 | — | flat |
| 69 | Côte d'Ivoire | 0 1000 t | 2022 | — | flat |
| 69 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 69 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 50,179 1000 t
- Europe 30,522 1000 t
- European Union (27) 23,375 1000 t
- Western Europe 14,369 1000 t
- Eastern Europe 11,663 1000 t
- Oceania 9,210 1000 t
- Americas 8,067 1000 t
- South America 4,326 1000 t
- Northern America 3,739 1000 t
- Northern Europe 3,628 1000 t
- Asia 2,223 1000 t
- Land Locked Developing Countries (LLDCs) 1,490 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.