Wheat 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
Wheat and products — Stock Variation is currently reported for 189 countries. The highest value is 11,054 1000 t in Russia; the lowest is -4,132 1000 t in China, mainland.
The median across all reporting countries is 0 1000 t, and the mean is 137.39 1000 t.
The gap between the highest and lowest reporting country is a factor of about 3.
Over the past decade 80 countries rose and 70 fell. The largest increase was in Sweden (up 21,900.0%), and the largest decrease in Colombia (down 20,100.0%).
Wheat and products — Stock Variation: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Russia | 11,054 1000 t | 2023 | up 145.6% | volatile |
| 1 | Russian Federation | 11,054 1000 t | 2023 | up 145.6% | volatile |
| 3 | France | 4,896 1000 t | 2023 | up 573.5% | volatile |
| 4 | Turkey | 4,188 1000 t | 2023 | up 0.6% | volatile |
| 4 | Türkiye | 4,188 1000 t | 2023 | up 0.6% | volatile |
| 6 | United States | 2,684 1000 t | 2023 | up 150.8% | volatile |
| 7 | Argentina | 2,658 1000 t | 2023 | up 822.9% | volatile |
| 8 | Indonesia | 2,209 1000 t | 2023 | up 2,501.1% | volatile |
| 9 | Iran (Islamic Republic of) | 1,755 1000 t | 2023 | up 7.7% | volatile |
| 10 | Pakistan | 1,520 1000 t | 2023 | up 447.0% | volatile |
| 11 | Iraq | 1,037 1000 t | 2023 | up 330.3% | volatile |
| 12 | Australia and New Zealand | 917 1000 t | 2023 | up 183.7% | volatile |
| 13 | Australia | 913 1000 t | 2023 | up 183.2% | volatile |
| 14 | Italy | 897 1000 t | 2023 | up 185.1% | volatile |
| 15 | Saudi Arabia | 760 1000 t | 2023 | up 691.7% | volatile |
| 16 | Spain | 633 1000 t | 2023 | up 205.2% | volatile |
| 16 | Kenya | 633 1000 t | 2023 | up 460.2% | volatile |
| 18 | Vietnam | 431 1000 t | 2023 | up 318.4% | volatile |
| 18 | Viet Nam | 431 1000 t | 2023 | up 318.4% | volatile |
| 20 | United Republic of Tanzania | 422 1000 t | 2023 | up 13,966.7% | volatile |
| 21 | Uzbekistan | 404 1000 t | 2023 | up 23.9% | volatile |
| 22 | Paraguay | 344 1000 t | 2023 | down 31.2% | volatile |
| 23 | Belgium | 306 1000 t | 2023 | up 187.4% | volatile |
| 24 | Portugal | 269 1000 t | 2023 | up 281.8% | volatile |
| 25 | Serbia | 255 1000 t | 2023 | up 179.7% | volatile |
| 26 | Sweden | 220 1000 t | 2023 | up 21,900.0% | volatile |
| 27 | Afghanistan | 192 1000 t | 2023 | down 44.0% | volatile |
| 28 | Czechia | 121 1000 t | 2023 | — | volatile |
| 29 | Cote d'Ivoire | 108 1000 t | 2023 | up 535.3% | volatile |
| 29 | Côte d'Ivoire | 108 1000 t | 2023 | up 535.3% | volatile |
| 31 | Slovenia | 106 1000 t | 2023 | — | volatile |
| 31 | Republic of Korea | 106 1000 t | 2023 | down 73.4% | volatile |
| 33 | Mauritania | 101 1000 t | 2023 | up 225.8% | volatile |
| 34 | Mongolia | 86 1000 t | 2023 | up 8,500.0% | volatile |
| 34 | Caribbean | 86 1000 t | 2023 | up 4,200.0% | volatile |
| 36 | Mozambique | 84 1000 t | 2023 | down 29.4% | volatile |
| 37 | Dominican Republic | 79 1000 t | 2023 | up 2,075.0% | volatile |
| 38 | Guatemala | 77 1000 t | 2023 | up 541.7% | volatile |
| 39 | Honduras | 76 1000 t | 2023 | up 1,420.0% | volatile |
| 39 | Latvia | 76 1000 t | 2023 | down 51.9% | volatile |
| 41 | Nigeria | 75 1000 t | 2023 | up 112.2% | volatile |
| 42 | Zimbabwe | 74 1000 t | 2023 | up 177.1% | volatile |
| 43 | Armenia | 68 1000 t | 2023 | up 3.0% | volatile |
| 43 | Georgia | 68 1000 t | 2023 | up 209.7% | volatile |
| 45 | Zambia | 65 1000 t | 2023 | up 47.7% | volatile |
| 46 | Austria | 62 1000 t | 2023 | down 30.3% | volatile |
| 47 | Senegal | 60 1000 t | 2023 | up 200.0% | volatile |
| 48 | Israel | 59 1000 t | 2023 | up 148.8% | volatile |
| 49 | South Africa | 55 1000 t | 2023 | up 116.5% | volatile |
| 50 | Burkina Faso | 45 1000 t | 2023 | up 2,150.0% | volatile |
| 51 | Morocco | 43 1000 t | 2023 | down 97.5% | volatile |
| 52 | Guinea | 42 1000 t | 2023 | up 1,300.0% | volatile |
| 53 | Uruguay | 30 1000 t | 2023 | up 107.4% | volatile |
| 54 | Greece | 29 1000 t | 2023 | down 86.2% | volatile |
| 55 | Thailand | 26 1000 t | 2023 | up 113.0% | volatile |
| 56 | China, Taiwan Province of | 24 1000 t | 2023 | down 40.0% | volatile |
| 57 | Albania | 23 1000 t | 2023 | down 8.0% | volatile |
| 57 | Grenada | 23 1000 t | 2023 | up 1,250.0% | volatile |
| 59 | Mexico | 18 1000 t | 2023 | down 41.9% | volatile |
| 60 | El Salvador | 13 1000 t | 2023 | down 7.1% | volatile |
| 61 | Fiji | 12 1000 t | 2023 | up 33.3% | volatile |
| 61 | Eswatini | 12 1000 t | 2023 | — | volatile |
| 63 | Haiti | 9 1000 t | 2023 | up 325.0% | volatile |
| 64 | Croatia | 8 1000 t | 2023 | — | volatile |
| 64 | Myanmar | 8 1000 t | 2023 | up 700.0% | volatile |
| 64 | Democratic People's Republic of Korea | 8 1000 t | 2018 | up 104.7% | volatile |
| 67 | Hungary | 7 1000 t | 2023 | up 101.8% | volatile |
| 67 | Melanesia | 7 1000 t | 2023 | up 133.3% | volatile |
| 69 | North Macedonia | 6 1000 t | 2023 | up 250.0% | volatile |
| 69 | Mauritius | 6 1000 t | 2023 | up 100.0% | volatile |
| 71 | United Arab Emirates | 5 1000 t | 2023 | down 96.5% | volatile |
| 71 | Cuba | 5 1000 t | 2019 | down 86.8% | volatile |
| 73 | New Zealand | 4 1000 t | 2023 | up 100.0% | volatile |
| 74 | Congo | 3 1000 t | 2023 | up 175.0% | volatile |
| 74 | Guyana | 3 1000 t | 2023 | — | volatile |
| 76 | Belize | 2 1000 t | 2023 | up 200.0% | volatile |
| 76 | Kuwait | 2 1000 t | 2023 | down 91.3% | volatile |
| 78 | Botswana | 1 1000 t | 2023 | down 90.0% | volatile |
| 78 | Jamaica | 1 1000 t | 2023 | up 200.0% | volatile |
| 78 | Montenegro | 1 1000 t | 2023 | up 133.3% | volatile |
| 78 | Nauru | 1 1000 t | 2023 | — | volatile |
| 78 | Sierra Leone | 1 1000 t | 2023 | unchanged | volatile |
| 78 | Syria | 1 1000 t | 2023 | down 99.8% | volatile |
| 78 | Uganda | 1 1000 t | 2023 | — | volatile |
| 78 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | volatile |
| 78 | Syrian Arab Republic | 1 1000 t | 2023 | down 99.8% | volatile |
| 78 | Nauru | 1 1000 t | 2023 | — | volatile |
| 88 | Antigua and Barbuda | 0 1000 t | 2023 | — | volatile |
| 88 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 88 | Comoros | 0 1000 t | 2023 | — | volatile |
| 88 | Cyprus | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Djibouti | 0 1000 t | 2023 | — | volatile |
| 88 | Gabon | 0 1000 t | 2023 | — | flat |
| 88 | Guinea-Bissau | 0 1000 t | 2023 | — | volatile |
| 88 | Iceland | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 88 | Saint Kitts and Nevis | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | Laos | 0 1000 t | 2023 | — | flat |
| 88 | Liberia | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 88 | Madagascar | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | Maldives | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | Namibia | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | New Caledonia | 0 1000 t | 2023 | — | volatile |
| 88 | Niger | 0 1000 t | 2023 | down 100.0% | volatile |
| 88 | Papua New Guinea | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 88 | Rwanda | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 88 | East Timor | 0 1000 t | 2023 | — | flat |
| 88 | Tonga | 0 1000 t | 2023 | — | volatile |
| 88 | Micronesia | 0 1000 t | 2023 | — | volatile |
| 88 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 88 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 88 | Polynesia | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 88 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 88 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | volatile |
| 88 | China, Macao SAR | 0 1000 t | 2023 | — | volatile |
| 127 | Cameroon | -1 1000 t | 2023 | down 103.8% | volatile |
| 127 | Panama | -1 1000 t | 2023 | down 200.0% | volatile |
| 127 | Saint Vincent and the Grenadines | -1 1000 t | 2023 | — | volatile |
| 127 | Samoa | -1 1000 t | 2023 | unchanged | volatile |
| 131 | Barbados | -2 1000 t | 2023 | — | volatile |
| 131 | Malawi | -2 1000 t | 2023 | — | volatile |
| 131 | Suriname | -2 1000 t | 2023 | up 50.0% | volatile |
| 131 | Trinidad and Tobago | -2 1000 t | 2023 | down 120.0% | volatile |
| 135 | Saint Lucia | -4 1000 t | 2023 | — | volatile |
| 136 | Solomon Islands | -5 1000 t | 2023 | — | volatile |
| 136 | Slovakia | -5 1000 t | 2023 | up 94.5% | volatile |
| 138 | Gambia | -6 1000 t | 2023 | up 14.3% | volatile |
| 138 | Luxembourg | -6 1000 t | 2023 | down 125.0% | volatile |
| 140 | Nicaragua | -7 1000 t | 2023 | down 121.2% | volatile |
| 141 | Sri Lanka | -10 1000 t | 2023 | up 91.9% | volatile |
| 141 | Democratic Republic of the Congo | -10 1000 t | 2023 | down 300.0% | volatile |
| 143 | Malta | -11 1000 t | 2023 | down 147.8% | volatile |
| 144 | Bahrain | -15 1000 t | 2023 | — | volatile |
| 145 | Costa Rica | -21 1000 t | 2023 | down 133.3% | volatile |
| 145 | Nepal | -21 1000 t | 2023 | up 46.2% | volatile |
| 147 | Qatar | -25 1000 t | 2023 | — | volatile |
| 148 | Angola | -28 1000 t | 2023 | down 380.0% | volatile |
| 149 | Lebanon | -31 1000 t | 2023 | down 132.6% | volatile |
| 150 | Bosnia and Herzegovina | -33 1000 t | 2023 | down 10.0% | volatile |
| 150 | Lithuania | -33 1000 t | 2023 | up 82.4% | volatile |
| 152 | Ecuador | -51 1000 t | 2023 | down 10.9% | volatile |
| 153 | Malaysia | -54 1000 t | 2023 | down 191.5% | volatile |
| 154 | Belarus | -60 1000 t | 2023 | down 166.7% | volatile |
| 154 | Estonia | -60 1000 t | 2023 | up 7.7% | volatile |
| 156 | Germany | -72 1000 t | 2023 | down 102.4% | volatile |
| 157 | Ireland | -73 1000 t | 2023 | up 34.2% | volatile |
| 157 | Oman | -73 1000 t | 2023 | up 41.6% | volatile |
| 159 | Netherlands (Kingdom of the) | -78 1000 t | 2023 | up 56.2% | volatile |
| 160 | Switzerland | -82 1000 t | 2023 | — | volatile |
| 161 | Azerbaijan | -84 1000 t | 2023 | down 148.3% | volatile |
| 162 | Moldova | -91 1000 t | 2023 | down 158.3% | volatile |
| 162 | Republic of Moldova | -91 1000 t | 2023 | down 158.3% | volatile |
| 164 | Bolivia (Plurinational State of) | -100 1000 t | 2023 | down 72.4% | volatile |
| 165 | Chile | -107 1000 t | 2023 | down 223.0% | volatile |
| 166 | Ghana | -110 1000 t | 2023 | down 168.3% | volatile |
| 167 | Finland | -115 1000 t | 2023 | down 76.9% | volatile |
| 168 | Turkmenistan | -125 1000 t | 2023 | down 12.6% | volatile |
| 169 | Tajikistan | -135 1000 t | 2023 | down 364.7% | volatile |
| 170 | Kazakhstan | -140 1000 t | 2023 | down 111.2% | volatile |
| 171 | Bangladesh | -172 1000 t | 2023 | down 172.9% | volatile |
| 172 | Denmark | -196 1000 t | 2023 | down 12.6% | volatile |
| 173 | Colombia | -200 1000 t | 2023 | down 20,100.0% | volatile |
| 174 | Norway | -207 1000 t | 2023 | down 928.0% | volatile |
| 175 | Peru | -255 1000 t | 2023 | down 3,287.5% | volatile |
| 176 | United Kingdom | -265 1000 t | 2023 | down 160.9% | volatile |
| 176 | United Kingdom of Great Britain and Northern Ireland | -265 1000 t | 2023 | down 160.9% | volatile |
| 178 | Libya | -360 1000 t | 2023 | down 368.7% | volatile |
| 179 | Yemen | -416 1000 t | 2023 | down 303.9% | volatile |
| 180 | Philippines | -472 1000 t | 2023 | down 108.8% | volatile |
| 181 | Jordan | -480 1000 t | 2023 | down 109.6% | volatile |
| 182 | Poland | -1,019 1000 t | 2023 | down 2,811.4% | volatile |
| 183 | Ethiopia | -1,064 1000 t | 2023 | down 1,766.7% | volatile |
| 184 | Tunisia | -1,115 1000 t | 2023 | down 283.2% | volatile |
| 185 | Egypt | -1,168 1000 t | 2023 | down 291.9% | volatile |
| 186 | Bulgaria | -1,293 1000 t | 2023 | down 338.3% | volatile |
| 187 | Algeria | -1,495 1000 t | 2023 | down 1,745.7% | volatile |
| 188 | Canada | -1,619 1000 t | 2023 | down 117.0% | volatile |
| 189 | India | -1,997 1000 t | 2023 | up 68.6% | volatile |
| 190 | Ukraine | -2,217 1000 t | 2023 | down 302.5% | volatile |
| 191 | Romania | -2,250 1000 t | 2023 | down 207.4% | volatile |
| 192 | Brazil | -2,789 1000 t | 2023 | down 1,790.3% | volatile |
| 193 | China | -4,107 1000 t | 2023 | down 133.9% | volatile |
| 194 | China, mainland | -4,132 1000 t | 2023 | down 134.2% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 12,724 1000 t
- Europe 10,806 1000 t
- Western Asia 5,063 1000 t
- Western Europe 5,027 1000 t
- Eastern Europe 4,248 1000 t
- Asia 4,192 1000 t
- United States of America 2,684 1000 t
- European Union (27) 2,421 1000 t
- Southern Europe 2,183 1000 t
- South-Eastern Asia 2,150 1000 t
- Southern Asia 1,268 1000 t
- Northern America 1,065 1000 t
- Oceania 925 1000 t
- Americas 843 1000 t
- Western Africa 323 1000 t
- Eastern Africa 213 1000 t
- Central America 159 1000 t
- Small island developing States (SIDS) 104 1000 t
- Southern Africa 68 1000 t
- Central Asia 4 1000 t
- Middle Africa -36 1000 t
- Low Income Food Deficit Countries (LIFDCs) -103 1000 t
- South America -468 1000 t
- Land Locked Developing Countries (LLDCs) -516 1000 t
- Northern Europe -651 1000 t
- Least Developed Countries (LDCs) -1,208 1000 t
- Net Food Importing Developing Countries (NFIDCs) -1,660 1000 t
- Africa -4,042 1000 t
- Eastern Asia -4,292 1000 t
- Northern Africa -4,610 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.