Barley 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
Barley and products — Stock Variation is currently reported for 179 countries. The highest value is 2,541 1000 t in China; the lowest is -1,075 1000 t in Spain.
The median across all reporting countries is 0 1000 t, and the mean is 50.12 1000 t.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 48 countries rose and 42 fell. The largest increase was in Viet Nam (up 5,688.9%), and the largest decrease in Netherlands (Kingdom of the) (down 4,350.0%).
Barley and products — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 2,541 1000 t | 2023 | up 254.9% | volatile |
| 1 | China, mainland | 2,541 1000 t | 2023 | up 254.0% | volatile |
| 3 | Canada | 1,802 1000 t | 2023 | up 117.6% | volatile |
| 4 | Thailand | 613 1000 t | 2023 | up 1,756.8% | volatile |
| 5 | Morocco | 532 1000 t | 2023 | down 34.5% | volatile |
| 6 | France | 509 1000 t | 2023 | up 126.2% | volatile |
| 7 | Viet Nam | 503 1000 t | 2023 | up 5,688.9% | volatile |
| 8 | Australia | 453 1000 t | 2023 | up 267.8% | volatile |
| 9 | Australia and New Zealand | 441 1000 t | 2023 | up 266.4% | volatile |
| 10 | Brazil | 378 1000 t | 2023 | up 199.2% | volatile |
| 11 | Russian Federation | 345 1000 t | 2023 | up 98.3% | volatile |
| 12 | Germany | 272 1000 t | 2023 | up 142.4% | volatile |
| 13 | Argentina | 270 1000 t | 2023 | up 229.2% | volatile |
| 14 | United Kingdom of Great Britain and Northern Ireland | 165 1000 t | 2023 | down 83.9% | volatile |
| 15 | Czechia | 125 1000 t | 2023 | — | volatile |
| 16 | Serbia | 111 1000 t | 2023 | up 3,800.0% | volatile |
| 17 | India | 109 1000 t | 2023 | up 270.3% | volatile |
| 18 | Saudi Arabia | 99 1000 t | 2023 | down 58.9% | volatile |
| 19 | Senegal | 91 1000 t | 2023 | — | volatile |
| 20 | Uruguay | 83 1000 t | 2023 | up 396.4% | volatile |
| 21 | Slovakia | 65 1000 t | 2023 | up 80.6% | volatile |
| 22 | Austria | 59 1000 t | 2023 | up 193.7% | volatile |
| 23 | Colombia | 51 1000 t | 2023 | up 1,120.0% | volatile |
| 24 | Belarus | 35 1000 t | 2023 | up 132.4% | volatile |
| 25 | Lithuania | 34 1000 t | 2023 | up 126.2% | volatile |
| 26 | Ukraine | 33 1000 t | 2023 | up 175.0% | volatile |
| 27 | Belgium | 28 1000 t | 2023 | — | volatile |
| 28 | Chile | 25 1000 t | 2023 | up 66.7% | volatile |
| 28 | Croatia | 25 1000 t | 2023 | — | volatile |
| 30 | Peru | 19 1000 t | 2023 | up 733.3% | volatile |
| 31 | Republic of Korea | 18 1000 t | 2023 | down 68.4% | volatile |
| 32 | Kazakhstan | 16 1000 t | 2023 | up 166.7% | volatile |
| 32 | Kenya | 16 1000 t | 2023 | up 277.8% | volatile |
| 34 | Egypt | 15 1000 t | 2023 | up 275.0% | volatile |
| 35 | Dominican Republic | 14 1000 t | 2023 | — | volatile |
| 35 | Mauritius | 14 1000 t | 2023 | up 1,500.0% | volatile |
| 38 | Afghanistan | 11 1000 t | 2023 | down 21.4% | volatile |
| 38 | Poland | 11 1000 t | 2023 | up 101.5% | volatile |
| 38 | Uzbekistan | 11 1000 t | 2023 | down 15.4% | volatile |
| 41 | Armenia | 7 1000 t | 2023 | up 16.7% | volatile |
| 42 | Zimbabwe | 4 1000 t | 2023 | down 20.0% | volatile |
| 43 | Albania | 3 1000 t | 2023 | up 50.0% | volatile |
| 43 | Burkina Faso | 3 1000 t | 2023 | up 50.0% | volatile |
| 43 | Estonia | 3 1000 t | 2023 | down 92.5% | volatile |
| 43 | Honduras | 3 1000 t | 2023 | — | volatile |
| 47 | Iceland | 2 1000 t | 2023 | — | volatile |
| 47 | Slovenia | 2 1000 t | 2023 | — | volatile |
| 47 | Yemen | 2 1000 t | 2023 | — | volatile |
| 50 | Bangladesh | 1 1000 t | 2023 | — | volatile |
| 50 | Guinea | 1 1000 t | 2023 | — | volatile |
| 50 | Lesotho | 1 1000 t | 2023 | up 133.3% | volatile |
| 50 | Montenegro | 1 1000 t | 2023 | up 200.0% | volatile |
| 50 | Eswatini | 1 1000 t | 2023 | — | volatile |
| 50 | Tajikistan | 1 1000 t | 2023 | up 200.0% | volatile |
| 56 | Angola | 0 1000 t | 2023 | — | flat |
| 56 | United Arab Emirates | 0 1000 t | 2023 | — | flat |
| 56 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 56 | Bahrain | 0 1000 t | 2023 | — | volatile |
| 56 | Bahamas | 0 1000 t | 2023 | — | flat |
| 56 | Belize | 0 1000 t | 2023 | — | flat |
| 56 | Barbados | 0 1000 t | 2023 | — | flat |
| 56 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 56 | Botswana | 0 1000 t | 2023 | — | flat |
| 56 | Cameroon | 0 1000 t | 2023 | down 100.0% | flat |
| 56 | Congo | 0 1000 t | 2023 | up 100.0% | volatile |
| 56 | Comoros | 0 1000 t | 2023 | — | flat |
| 56 | Costa Rica | 0 1000 t | 2023 | — | flat |
| 56 | Cuba | 0 1000 t | 2019 | — | flat |
| 56 | Djibouti | 0 1000 t | 2023 | — | flat |
| 56 | Fiji | 0 1000 t | 2023 | — | flat |
| 56 | Gabon | 0 1000 t | 2023 | — | flat |
| 56 | Georgia | 0 1000 t | 2023 | — | flat |
| 56 | Ghana | 0 1000 t | 2023 | — | flat |
| 56 | Gambia | 0 1000 t | 2023 | — | flat |
| 56 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 56 | Grenada | 0 1000 t | 2023 | — | flat |
| 56 | Guatemala | 0 1000 t | 2023 | — | flat |
| 56 | Guyana | 0 1000 t | 2023 | — | flat |
| 56 | Haiti | 0 1000 t | 2023 | — | flat |
| 56 | Jamaica | 0 1000 t | 2023 | — | flat |
| 56 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 56 | Kiribati | 0 1000 t | 2023 | — | flat |
| 56 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 56 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 56 | Liberia | 0 1000 t | 2023 | — | volatile |
| 56 | Sri Lanka | 0 1000 t | 2023 | up 100.0% | volatile |
| 56 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | Madagascar | 0 1000 t | 2023 | — | flat |
| 56 | Maldives | 0 1000 t | 2023 | — | flat |
| 56 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 56 | Malta | 0 1000 t | 2023 | — | volatile |
| 56 | Myanmar | 0 1000 t | 2023 | — | flat |
| 56 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | Mauritania | 0 1000 t | 2023 | — | flat |
| 56 | Malawi | 0 1000 t | 2023 | — | flat |
| 56 | Namibia | 0 1000 t | 2023 | — | flat |
| 56 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 56 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | Nigeria | 0 1000 t | 2023 | — | flat |
| 56 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 56 | Nauru | 0 1000 t | 2023 | — | flat |
| 56 | Oman | 0 1000 t | 2023 | — | volatile |
| 56 | Panama | 0 1000 t | 2023 | — | flat |
| 56 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 56 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 56 | Qatar | 0 1000 t | 2023 | — | flat |
| 56 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 56 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 56 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 56 | El Salvador | 0 1000 t | 2023 | — | flat |
| 56 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 56 | Suriname | 0 1000 t | 2023 | — | volatile |
| 56 | Seychelles | 0 1000 t | 2023 | — | flat |
| 56 | Turkmenistan | 0 1000 t | 2023 | — | flat |
| 56 | Tonga | 0 1000 t | 2023 | — | flat |
| 56 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 56 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 56 | Uganda | 0 1000 t | 2023 | — | flat |
| 56 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 56 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 56 | Samoa | 0 1000 t | 2023 | — | flat |
| 56 | Micronesia | 0 1000 t | 2023 | — | flat |
| 56 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 56 | Melanesia | 0 1000 t | 2023 | — | flat |
| 56 | Polynesia | 0 1000 t | 2023 | — | flat |
| 56 | Democratic Republic of the Congo | 0 1000 t | 2023 | up 100.0% | volatile |
| 56 | China, Hong Kong SAR | 0 1000 t | 2023 | — | flat |
| 56 | Republic of Moldova | 0 1000 t | 2023 | down 100.0% | volatile |
| 56 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 56 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 56 | China, Taiwan Province of | 0 1000 t | 2023 | down 100.0% | flat |
| 56 | Democratic People's Republic of Korea | 0 1000 t | 2018 | up 100.0% | volatile |
| 56 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 135 | Switzerland | -1 1000 t | 2023 | — | volatile |
| 135 | Ecuador | -1 1000 t | 2023 | — | volatile |
| 135 | Jordan | -1 1000 t | 2023 | down 133.3% | volatile |
| 135 | Saint Lucia | -1 1000 t | 2023 | — | volatile |
| 135 | Pakistan | -1 1000 t | 2023 | unchanged | volatile |
| 140 | Bulgaria | -2 1000 t | 2023 | up 87.5% | volatile |
| 140 | Lao People's Democratic Republic | -2 1000 t | 2023 | unchanged | volatile |
| 142 | Nepal | -3 1000 t | 2023 | down 175.0% | volatile |
| 142 | Zambia | -3 1000 t | 2023 | up 62.5% | volatile |
| 144 | Malaysia | -4 1000 t | 2023 | — | volatile |
| 144 | Bolivia (Plurinational State of) | -4 1000 t | 2023 | — | volatile |
| 146 | Bosnia and Herzegovina | -5 1000 t | 2023 | down 171.4% | volatile |
| 146 | Mongolia | -5 1000 t | 2023 | down 225.0% | volatile |
| 146 | Norway | -5 1000 t | 2023 | down 123.8% | volatile |
| 149 | North Macedonia | -6 1000 t | 2023 | — | volatile |
| 150 | Lebanon | -9 1000 t | 2023 | down 80.0% | volatile |
| 151 | Iran (Islamic Republic of) | -10 1000 t | 2023 | up 16.7% | volatile |
| 152 | New Zealand | -11 1000 t | 2023 | down 320.0% | volatile |
| 153 | United Republic of Tanzania | -12 1000 t | 2023 | up 20.0% | volatile |
| 154 | Paraguay | -14 1000 t | 2023 | down 450.0% | volatile |
| 155 | Portugal | -18 1000 t | 2023 | down 200.0% | volatile |
| 156 | Azerbaijan | -22 1000 t | 2023 | down 1,000.0% | volatile |
| 156 | Philippines | -22 1000 t | 2023 | up 43.6% | volatile |
| 158 | Kyrgyzstan | -23 1000 t | 2023 | down 330.0% | volatile |
| 159 | Israel | -24 1000 t | 2023 | down 1,300.0% | volatile |
| 160 | Greece | -25 1000 t | 2023 | down 600.0% | volatile |
| 161 | Italy | -29 1000 t | 2023 | up 75.4% | volatile |
| 162 | Indonesia | -31 1000 t | 2023 | down 444.4% | volatile |
| 163 | Sweden | -34 1000 t | 2023 | down 950.0% | volatile |
| 164 | Romania | -37 1000 t | 2023 | up 86.5% | volatile |
| 165 | Ethiopia | -39 1000 t | 2023 | down 118.4% | volatile |
| 166 | Cyprus | -42 1000 t | 2023 | down 321.1% | volatile |
| 166 | Iraq | -42 1000 t | 2023 | down 130.4% | volatile |
| 168 | Türkiye | -43 1000 t | 2023 | up 65.3% | volatile |
| 169 | Libya | -51 1000 t | 2023 | — | volatile |
| 170 | Hungary | -55 1000 t | 2023 | down 350.0% | volatile |
| 171 | Mexico | -67 1000 t | 2023 | up 82.0% | volatile |
| 172 | Latvia | -68 1000 t | 2023 | down 457.9% | volatile |
| 173 | Syrian Arab Republic | -73 1000 t | 2023 | down 177.7% | volatile |
| 174 | Netherlands (Kingdom of the) | -89 1000 t | 2023 | down 4,350.0% | volatile |
| 175 | Tunisia | -91 1000 t | 2023 | down 44.4% | volatile |
| 176 | Algeria | -175 1000 t | 2023 | down 1,850.0% | volatile |
| 177 | Finland | -209 1000 t | 2023 | down 231.4% | volatile |
| 178 | Ireland | -288 1000 t | 2023 | down 239.1% | volatile |
| 179 | Denmark | -774 1000 t | 2023 | down 616.0% | volatile |
| 180 | Spain | -1,075 1000 t | 2023 | down 235.1% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 7,142 1000 t
- Asia 3,711 1000 t
- Americas 3,509 1000 t
- Northern America 2,752 1000 t
- Eastern Asia 2,692 1000 t
- South-Eastern Asia 1,056 1000 t
- United States of America 950 1000 t
- South America 808 1000 t
- Western Europe 777 1000 t
- Net Food Importing Developing Countries (NFIDCs) 567 1000 t
- Eastern Europe 519 1000 t
- Oceania 442 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.