Barley 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
Barley and products — Losses is currently reported for 107 countries. The highest value is 1,314 1000 t in Türkiye; the lowest is 0 1000 t in China, Taiwan Province of.
The median across all reporting countries is 10 1000 t, and the mean is 47.84 1000 t.
Over the past decade 38 countries rose and 37 fell. The largest increase was in Turkmenistan (up 1,400.0%), and the largest decrease in Cameroon (down 100.0%).
Barley and products — Losses: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Türkiye | 1,314 1000 t | 2023 | up 10.9% | falling |
| 2 | Canada | 410 1000 t | 2023 | down 13.3% | rising |
| 3 | China | 339 1000 t | 2023 | up 200.0% | rising |
| 3 | China, mainland | 339 1000 t | 2023 | up 202.7% | rising |
| 5 | Germany | 296 1000 t | 2023 | up 21.8% | rising |
| 6 | Argentina | 233 1000 t | 2023 | up 12.0% | rising |
| 7 | Russian Federation | 201 1000 t | 2023 | up 28.8% | rising |
| 8 | Morocco | 140 1000 t | 2023 | up 8.5% | flat |
| 9 | Ethiopia | 113 1000 t | 2023 | up 16.5% | rising |
| 10 | France | 112 1000 t | 2023 | up 33.3% | rising |
| 11 | Kazakhstan | 110 1000 t | 2023 | up 18.3% | rising |
| 12 | Poland | 102 1000 t | 2023 | up 14.6% | rising |
| 13 | Ukraine | 94 1000 t | 2023 | down 38.6% | falling |
| 14 | Iran (Islamic Republic of) | 84 1000 t | 2023 | down 36.8% | falling |
| 15 | Syrian Arab Republic | 65 1000 t | 2023 | up 8.3% | volatile |
| 16 | India | 64 1000 t | 2023 | down 19.0% | falling |
| 16 | Australia and New Zealand | 64 1000 t | 2023 | up 60.0% | rising |
| 18 | Saudi Arabia | 62 1000 t | 2023 | down 80.4% | falling |
| 19 | Australia | 56 1000 t | 2023 | up 80.6% | rising |
| 20 | Ireland | 52 1000 t | 2023 | up 30.0% | rising |
| 21 | Algeria | 48 1000 t | 2023 | down 32.4% | falling |
| 22 | Denmark | 47 1000 t | 2023 | down 60.5% | falling |
| 23 | Mexico | 39 1000 t | 2023 | down 2.5% | falling |
| 24 | Tunisia | 37 1000 t | 2023 | up 164.3% | rising |
| 25 | Thailand | 36 1000 t | 2023 | up 800.0% | volatile |
| 26 | United Kingdom of Great Britain and Northern Ireland | 35 1000 t | 2023 | down 25.5% | falling |
| 27 | Netherlands (Kingdom of the) | 33 1000 t | 2023 | up 43.5% | rising |
| 28 | Belarus | 28 1000 t | 2023 | down 15.2% | falling |
| 29 | Belgium | 26 1000 t | 2023 | down 23.5% | falling |
| 30 | Bulgaria | 25 1000 t | 2023 | down 26.5% | falling |
| 31 | Finland | 23 1000 t | 2023 | down 74.4% | falling |
| 31 | Jordan | 23 1000 t | 2023 | down 36.1% | rising |
| 33 | Uruguay | 22 1000 t | 2023 | up 144.4% | rising |
| 34 | Spain | 21 1000 t | 2023 | down 32.3% | rising |
| 34 | Italy | 21 1000 t | 2023 | up 950.0% | volatile |
| 34 | Romania | 21 1000 t | 2023 | up 425.0% | volatile |
| 34 | Sweden | 21 1000 t | 2023 | down 51.2% | falling |
| 38 | Kuwait | 20 1000 t | 2023 | up 11.1% | rising |
| 39 | Azerbaijan | 17 1000 t | 2023 | up 88.9% | rising |
| 39 | Norway | 17 1000 t | 2023 | down 22.7% | falling |
| 41 | Brazil | 16 1000 t | 2023 | unchanged | rising |
| 41 | Peru | 16 1000 t | 2023 | unchanged | rising |
| 43 | Turkmenistan | 15 1000 t | 2023 | up 1,400.0% | volatile |
| 44 | Afghanistan | 14 1000 t | 2023 | down 81.8% | volatile |
| 44 | Austria | 14 1000 t | 2023 | down 41.7% | falling |
| 44 | Egypt | 14 1000 t | 2023 | up 75.0% | rising |
| 44 | Serbia | 14 1000 t | 2023 | up 55.6% | falling |
| 48 | Libya | 13 1000 t | 2023 | down 62.9% | flat |
| 48 | Slovenia | 13 1000 t | 2023 | up 44.4% | rising |
| 50 | Czechia | 12 1000 t | 2023 | up 20.0% | rising |
| 51 | Kyrgyzstan | 11 1000 t | 2023 | down 21.4% | rising |
| 51 | Uzbekistan | 11 1000 t | 2023 | up 83.3% | rising |
| 53 | Armenia | 10 1000 t | 2023 | down 33.3% | falling |
| 53 | Lithuania | 10 1000 t | 2023 | down 33.3% | falling |
| 53 | Qatar | 10 1000 t | 2023 | — | falling |
| 53 | Tajikistan | 10 1000 t | 2023 | up 66.7% | rising |
| 57 | Greece | 9 1000 t | 2023 | down 40.0% | falling |
| 57 | Croatia | 9 1000 t | 2023 | up 80.0% | rising |
| 59 | Hungary | 7 1000 t | 2023 | — | volatile |
| 59 | Iraq | 7 1000 t | 2023 | down 85.1% | volatile |
| 59 | New Zealand | 7 1000 t | 2023 | down 22.2% | falling |
| 59 | Republic of Korea | 7 1000 t | 2023 | up 16.7% | rising |
| 63 | Switzerland | 6 1000 t | 2023 | up 200.0% | rising |
| 64 | Chile | 5 1000 t | 2023 | up 25.0% | rising |
| 65 | Estonia | 4 1000 t | 2023 | up 300.0% | volatile |
| 65 | Georgia | 4 1000 t | 2023 | up 100.0% | rising |
| 65 | Latvia | 4 1000 t | 2023 | unchanged | volatile |
| 65 | Portugal | 4 1000 t | 2023 | up 100.0% | rising |
| 65 | Viet Nam | 4 1000 t | 2023 | — | volatile |
| 70 | Bosnia and Herzegovina | 3 1000 t | 2023 | unchanged | rising |
| 70 | Israel | 3 1000 t | 2023 | unchanged | volatile |
| 70 | North Macedonia | 3 1000 t | 2023 | down 50.0% | volatile |
| 73 | Albania | 2 1000 t | 2023 | up 100.0% | rising |
| 73 | Nepal | 2 1000 t | 2023 | down 33.3% | falling |
| 73 | Pakistan | 2 1000 t | 2023 | down 33.3% | falling |
| 73 | Slovakia | 2 1000 t | 2023 | down 71.4% | falling |
| 73 | Zimbabwe | 2 1000 t | 2023 | unchanged | falling |
| 73 | Bolivia (Plurinational State of) | 2 1000 t | 2023 | unchanged | flat |
| 79 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 79 | Colombia | 1 1000 t | 2023 | unchanged | volatile |
| 79 | Cyprus | 1 1000 t | 2023 | — | volatile |
| 79 | Ecuador | 1 1000 t | 2023 | unchanged | flat |
| 79 | Lebanon | 1 1000 t | 2023 | down 50.0% | falling |
| 79 | Yemen | 1 1000 t | 2023 | down 50.0% | falling |
| 79 | Republic of Moldova | 1 1000 t | 2023 | unchanged | rising |
| 79 | Democratic People's Republic of Korea | 1 1000 t | 2018 | down 80.0% | volatile |
| 87 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 87 | Bahrain | 0 1000 t | 2023 | — | flat |
| 87 | Bhutan | 0 1000 t | 2023 | — | flat |
| 87 | Cameroon | 0 1000 t | 2022 | down 100.0% | volatile |
| 87 | Cuba | 0 1000 t | 2019 | — | flat |
| 87 | Guatemala | 0 1000 t | 2023 | — | flat |
| 87 | Iceland | 0 1000 t | 2023 | — | flat |
| 87 | Kenya | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Lesotho | 0 1000 t | 2023 | — | flat |
| 87 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | Malta | 0 1000 t | 2023 | — | flat |
| 87 | Myanmar | 0 1000 t | 2019 | — | flat |
| 87 | Montenegro | 0 1000 t | 2023 | — | flat |
| 87 | Mongolia | 0 1000 t | 2023 | — | flat |
| 87 | Mauritania | 0 1000 t | 2023 | — | flat |
| 87 | Oman | 0 1000 t | 2023 | — | flat |
| 87 | Rwanda | 0 1000 t | 2019 | — | flat |
| 87 | Zambia | 0 1000 t | 2023 | — | volatile |
| 87 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 87 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 87 | China, Taiwan Province of | 0 1000 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 4,932 1000 t
- Asia 2,254 1000 t
- Western Asia 1,538 1000 t
- Europe 1,295 1000 t
- Americas 932 1000 t
- European Union (27) 891 1000 t
- Northern America 598 1000 t
- Eastern Europe 494 1000 t
- Western Europe 488 1000 t
- Africa 388 1000 t
- Net Food Importing Developing Countries (NFIDCs) 365 1000 t
- Eastern Asia 351 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.