Cereals - Excluding Beer — 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...
Countries reporting
182
Highest
10,400 1000 t
Russian Federation
Lowest
-3,422 1000 t
Thailand
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,901
What the numbers show
Cereals - Excluding Beer — Stock Variation is currently reported for 182 countries. The highest value is 10,400 1000 t in Russian Federation; the lowest is -3,422 1000 t in Thailand.
The median across all reporting countries is 0 1000 t, and the mean is 175.87 1000 t.
The gap between the highest and lowest reporting country is a factor of about 3.
Over the past decade 75 countries rose and 88 fell. The largest increase was in Sweden (up 6,400.0%), and the largest decrease in Switzerland (down 7,200.0%).
Cereals - Excluding Beer — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Russian Federation | 10,400 1000 t | 2023 | up 126.9% | volatile |
| 2 | India | 8,802 1000 t | 2023 | up 181.5% | volatile |
| 3 | Indonesia | 6,619 1000 t | 2023 | up 120.9% | volatile |
| 4 | Pakistan | 6,040 1000 t | 2023 | up 326.6% | volatile |
| 5 | France | 4,804 1000 t | 2023 | up 219.5% | volatile |
| 6 | Brazil | 3,942 1000 t | 2023 | down 16.1% | volatile |
| 7 | Türkiye | 3,801 1000 t | 2023 | down 15.1% | volatile |
| 8 | Viet Nam | 2,842 1000 t | 2023 | up 349.3% | volatile |
| 9 | Iran (Islamic Republic of) | 2,115 1000 t | 2023 | down 32.1% | volatile |
| 10 | Serbia | 1,833 1000 t | 2023 | up 182.9% | volatile |
| 11 | Mexico | 1,631 1000 t | 2023 | up 166.5% | volatile |
| 12 | Hungary | 1,603 1000 t | 2023 | up 7.3% | volatile |
| 13 | Argentina | 1,207 1000 t | 2023 | down 70.0% | volatile |
| 14 | Kenya | 1,136 1000 t | 2023 | up 571.4% | volatile |
| 15 | Myanmar | 1,082 1000 t | 2023 | up 901.5% | volatile |
| 16 | Italy | 1,039 1000 t | 2023 | up 172.7% | volatile |
| 17 | Iraq | 956 1000 t | 2023 | down 16.7% | volatile |
| 18 | Saudi Arabia | 941 1000 t | 2023 | up 65.4% | volatile |
| 19 | Senegal | 826 1000 t | 2023 | up 282.4% | volatile |
| 20 | Australia | 730 1000 t | 2023 | up 153.1% | volatile |
| 21 | Australia and New Zealand | 726 1000 t | 2023 | up 153.7% | volatile |
| 22 | United Republic of Tanzania | 700 1000 t | 2023 | down 44.6% | falling |
| 23 | Morocco | 603 1000 t | 2023 | down 72.3% | volatile |
| 24 | Uzbekistan | 501 1000 t | 2023 | up 32.5% | volatile |
| 25 | Guinea | 329 1000 t | 2023 | up 771.4% | volatile |
| 26 | Zambia | 318 1000 t | 2023 | up 1,545.5% | volatile |
| 27 | Belgium | 315 1000 t | 2023 | up 246.5% | volatile |
| 28 | Liberia | 299 1000 t | 2023 | up 1,131.0% | volatile |
| 29 | Portugal | 296 1000 t | 2023 | up 1,284.0% | volatile |
| 30 | Bangladesh | 294 1000 t | 2023 | down 51.2% | volatile |
| 31 | Afghanistan | 289 1000 t | 2023 | down 19.7% | volatile |
| 32 | Burkina Faso | 282 1000 t | 2023 | down 36.1% | volatile |
| 33 | Germany | 265 1000 t | 2023 | up 328.4% | volatile |
| 34 | Czechia | 246 1000 t | 2023 | up 524.1% | volatile |
| 35 | Netherlands (Kingdom of the) | 228 1000 t | 2023 | up 20.6% | volatile |
| 36 | Slovenia | 214 1000 t | 2023 | up 622.0% | volatile |
| 37 | Mauritania | 210 1000 t | 2023 | up 213.4% | volatile |
| 38 | Côte d'Ivoire | 203 1000 t | 2023 | up 154.4% | volatile |
| 39 | Sweden | 189 1000 t | 2023 | up 6,400.0% | volatile |
| 40 | Cambodia | 147 1000 t | 2023 | down 24.2% | volatile |
| 41 | Democratic Republic of the Congo | 104 1000 t | 2023 | up 215.6% | volatile |
| 42 | Sierra Leone | 101 1000 t | 2023 | down 57.7% | volatile |
| 43 | Austria | 97 1000 t | 2023 | up 162.2% | volatile |
| 44 | Honduras | 95 1000 t | 2023 | up 279.2% | volatile |
| 45 | Gambia | 91 1000 t | 2023 | up 219.7% | volatile |
| 46 | Slovakia | 88 1000 t | 2023 | up 325.6% | volatile |
| 47 | Lesotho | 87 1000 t | 2023 | up 245.0% | volatile |
| 48 | Mongolia | 83 1000 t | 2023 | up 418.8% | volatile |
| 49 | Nepal | 70 1000 t | 2023 | up 138.0% | volatile |
| 50 | Dominican Republic | 69 1000 t | 2023 | up 238.0% | volatile |
| 51 | Uruguay | 67 1000 t | 2023 | up 111.5% | volatile |
| 52 | Armenia | 62 1000 t | 2023 | down 18.4% | volatile |
| 53 | Panama | 61 1000 t | 2023 | up 438.9% | volatile |
| 54 | Georgia | 60 1000 t | 2023 | up 650.0% | volatile |
| 55 | Croatia | 58 1000 t | 2023 | — | volatile |
| 56 | Botswana | 57 1000 t | 2023 | up 2,750.0% | volatile |
| 57 | Guyana | 50 1000 t | 2023 | up 117.4% | volatile |
| 58 | Guatemala | 49 1000 t | 2023 | down 52.0% | volatile |
| 59 | Latvia | 44 1000 t | 2023 | down 72.8% | volatile |
| 60 | Belarus | 40 1000 t | 2023 | up 138.1% | volatile |
| 61 | Mauritius | 36 1000 t | 2023 | — | volatile |
| 62 | Eswatini | 31 1000 t | 2023 | up 181.8% | volatile |
| 63 | Albania | 23 1000 t | 2023 | down 55.8% | volatile |
| 63 | Grenada | 23 1000 t | 2023 | up 1,250.0% | volatile |
| 65 | Ecuador | 21 1000 t | 2023 | up 124.4% | volatile |
| 65 | Fiji | 21 1000 t | 2023 | up 110.0% | volatile |
| 67 | Cabo Verde | 20 1000 t | 2023 | up 185.7% | volatile |
| 68 | Bhutan | 18 1000 t | 2023 | — | volatile |
| 69 | Kuwait | 14 1000 t | 2023 | down 36.4% | volatile |
| 70 | Namibia | 13 1000 t | 2023 | up 62.5% | volatile |
| 71 | Niger | 11 1000 t | 2023 | up 106.1% | volatile |
| 72 | Belize | 10 1000 t | 2023 | up 900.0% | volatile |
| 72 | Trinidad and Tobago | 10 1000 t | 2023 | down 68.8% | volatile |
| 74 | Congo | 5 1000 t | 2023 | up 105.8% | volatile |
| 74 | Jamaica | 5 1000 t | 2023 | up 145.5% | volatile |
| 74 | Nicaragua | 5 1000 t | 2023 | up 100.8% | volatile |
| 77 | Kiribati | 4 1000 t | 2023 | up 500.0% | volatile |
| 77 | Lao People's Democratic Republic | 4 1000 t | 2023 | down 83.3% | volatile |
| 79 | Kyrgyzstan | 3 1000 t | 2023 | down 94.7% | volatile |
| 79 | Micronesia | 3 1000 t | 2023 | up 400.0% | volatile |
| 81 | Iceland | 2 1000 t | 2023 | up 166.7% | volatile |
| 82 | Cuba | 1 1000 t | 2019 | up 100.9% | volatile |
| 82 | Montenegro | 1 1000 t | 2023 | up 125.0% | volatile |
| 82 | Nauru | 1 1000 t | 2023 | — | volatile |
| 82 | Uganda | 1 1000 t | 2023 | — | volatile |
| 82 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | volatile |
| 82 | Venezuela (Bolivarian Republic of) | 1 1000 t | 2023 | down 99.8% | volatile |
| 88 | Antigua and Barbuda | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Comoros | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | Djibouti | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Gabon | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Guinea-Bissau | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Saint Kitts and Nevis | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 88 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 88 | Rwanda | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 88 | Tonga | 0 1000 t | 2023 | — | volatile |
| 88 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 88 | Vanuatu | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | China, Macao SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 103 | French Polynesia | -1 1000 t | 2023 | — | volatile |
| 103 | Sao Tome and Principe | -1 1000 t | 2023 | — | volatile |
| 103 | Saint Vincent and the Grenadines | -1 1000 t | 2023 | — | volatile |
| 106 | Saint Lucia | -2 1000 t | 2023 | — | flat |
| 106 | Maldives | -2 1000 t | 2023 | unchanged | volatile |
| 106 | Micronesia (Federated States of) | -2 1000 t | 2023 | — | volatile |
| 109 | North Macedonia | -3 1000 t | 2023 | up 25.0% | volatile |
| 110 | Costa Rica | -4 1000 t | 2023 | down 106.0% | volatile |
| 110 | New Zealand | -4 1000 t | 2023 | down 119.0% | volatile |
| 110 | Samoa | -4 1000 t | 2023 | down 500.0% | volatile |
| 110 | Polynesia | -4 1000 t | 2023 | down 500.0% | volatile |
| 114 | Barbados | -5 1000 t | 2023 | down 150.0% | volatile |
| 114 | Luxembourg | -5 1000 t | 2023 | down 117.2% | volatile |
| 116 | Timor-Leste | -7 1000 t | 2023 | down 118.4% | volatile |
| 117 | Suriname | -8 1000 t | 2023 | down 180.0% | volatile |
| 118 | Malta | -12 1000 t | 2023 | down 152.2% | volatile |
| 119 | El Salvador | -14 1000 t | 2023 | down 216.7% | volatile |
| 120 | Solomon Islands | -16 1000 t | 2023 | down 277.8% | flat |
| 121 | Bahrain | -26 1000 t | 2023 | — | volatile |
| 122 | Lithuania | -29 1000 t | 2023 | up 89.6% | volatile |
| 123 | Oman | -32 1000 t | 2023 | up 67.0% | volatile |
| 124 | Bosnia and Herzegovina | -35 1000 t | 2023 | down 288.9% | volatile |
| 125 | Lebanon | -37 1000 t | 2023 | down 177.1% | volatile |
| 126 | Cyprus | -38 1000 t | 2023 | down 222.6% | volatile |
| 127 | Melanesia | -42 1000 t | 2023 | up 48.1% | volatile |
| 128 | Cameroon | -48 1000 t | 2023 | down 116.4% | volatile |
| 128 | Papua New Guinea | -48 1000 t | 2023 | up 51.5% | volatile |
| 130 | Haiti | -60 1000 t | 2023 | down 281.8% | volatile |
| 131 | Estonia | -64 1000 t | 2023 | down 48.8% | volatile |
| 132 | Bolivia (Plurinational State of) | -66 1000 t | 2023 | up 63.7% | volatile |
| 133 | Madagascar | -70 1000 t | 2023 | up 35.2% | volatile |
| 133 | Malaysia | -70 1000 t | 2023 | down 209.4% | volatile |
| 135 | Switzerland | -73 1000 t | 2023 | down 7,200.0% | volatile |
| 136 | United Kingdom of Great Britain and Northern Ireland | -77 1000 t | 2023 | down 104.7% | volatile |
| 137 | Qatar | -82 1000 t | 2023 | — | volatile |
| 138 | Ghana | -96 1000 t | 2023 | down 536.4% | volatile |
| 139 | Malawi | -98 1000 t | 2023 | down 131.6% | volatile |
| 140 | Azerbaijan | -102 1000 t | 2023 | down 161.1% | volatile |
| 141 | Israel | -113 1000 t | 2023 | down 303.6% | volatile |
| 142 | China, Taiwan Province of | -120 1000 t | 2023 | down 400.0% | volatile |
| 143 | Philippines | -122 1000 t | 2023 | up 79.7% | volatile |
| 143 | Turkmenistan | -122 1000 t | 2023 | down 16.2% | volatile |
| 145 | Tajikistan | -123 1000 t | 2023 | down 298.4% | volatile |
| 146 | Mozambique | -130 1000 t | 2023 | up 55.3% | volatile |
| 147 | Syrian Arab Republic | -132 1000 t | 2023 | down 122.2% | volatile |
| 148 | Angola | -154 1000 t | 2023 | down 157.2% | volatile |
| 149 | Kazakhstan | -155 1000 t | 2023 | down 111.8% | volatile |
| 150 | Sri Lanka | -159 1000 t | 2023 | down 181.1% | volatile |
| 151 | Caribbean | -175 1000 t | 2023 | down 695.5% | volatile |
| 152 | Zimbabwe | -179 1000 t | 2023 | up 31.7% | volatile |
| 153 | Greece | -195 1000 t | 2023 | down 178.9% | volatile |
| 154 | Peru | -220 1000 t | 2023 | down 1,275.0% | volatile |
| 155 | Chile | -224 1000 t | 2023 | down 263.5% | volatile |
| 156 | Finland | -238 1000 t | 2023 | down 197.1% | volatile |
| 157 | Norway | -243 1000 t | 2023 | down 479.7% | volatile |
| 158 | United Arab Emirates | -249 1000 t | 2023 | down 272.9% | volatile |
| 159 | Republic of Moldova | -353 1000 t | 2023 | down 188.7% | volatile |
| 160 | Colombia | -371 1000 t | 2023 | down 140.9% | volatile |
| 161 | Yemen | -412 1000 t | 2023 | down 154.3% | volatile |
| 162 | Libya | -436 1000 t | 2023 | down 287.1% | volatile |
| 163 | Jordan | -505 1000 t | 2023 | down 102.8% | volatile |
| 164 | Ireland | -509 1000 t | 2023 | down 604.0% | volatile |
| 165 | Democratic People's Republic of Korea | -781 1000 t | 2018 | up 13.7% | rising |
| 166 | Spain | -842 1000 t | 2023 | down 1,688.7% | volatile |
| 167 | Denmark | -962 1000 t | 2023 | down 1,417.8% | volatile |
| 168 | Nigeria | -1,040 1000 t | 2023 | up 36.5% | volatile |
| 169 | Republic of Korea | -1,056 1000 t | 2023 | down 744.8% | volatile |
| 170 | Poland | -1,174 1000 t | 2023 | down 292.6% | volatile |
| 171 | Tunisia | -1,209 1000 t | 2023 | down 240.6% | volatile |
| 172 | Paraguay | -1,515 1000 t | 2023 | down 424.4% | volatile |
| 173 | Ethiopia | -1,576 1000 t | 2023 | down 2,151.4% | volatile |
| 174 | China, mainland | -1,583 1000 t | 2023 | down 102.5% | volatile |
| 175 | Algeria | -1,594 1000 t | 2023 | down 3,885.0% | volatile |
| 176 | Canada | -1,600 1000 t | 2023 | down 115.3% | volatile |
| 177 | China | -1,702 1000 t | 2023 | down 102.6% | volatile |
| 178 | Bulgaria | -1,868 1000 t | 2023 | down 133.2% | volatile |
| 179 | Egypt | -3,120 1000 t | 2023 | down 115.3% | volatile |
| 180 | Romania | -3,324 1000 t | 2023 | down 662.4% | volatile |
| 181 | Ukraine | -3,420 1000 t | 2023 | down 334.1% | volatile |
| 182 | Thailand | -3,422 1000 t | 2023 | down 212.7% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 48,752 1000 t
- Asia 25,967 1000 t
- Americas 18,467 1000 t
- Southern Asia 17,468 1000 t
- United States of America 15,522 1000 t
- Northern America 13,923 1000 t
- Europe 8,360 1000 t
- South-eastern Asia 7,071 1000 t
- Western Europe 5,631 1000 t
- Net Food Importing Developing Countries (NFIDCs) 5,097 1000 t
- Western Asia 4,095 1000 t
- South America 2,885 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.