Cereals - Excluding Beer — Residuals 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
177
Highest
1,413 1000 t
Kazakhstan
Lowest
-1,657 1000 t
Canada
Median
-1 1000 t
Years covered
14
2010–2023
Data points
3,046
What the numbers show
Cereals - Excluding Beer — Residuals is currently reported for 177 countries. The highest value is 1,413 1000 t in Kazakhstan; the lowest is -1,657 1000 t in Canada.
The median across all reporting countries is -1 1000 t, and the mean is -15.9 1000 t.
Over the past decade 36 countries rose and 75 fell. The largest increase was in Indonesia (up 84,100.0%), and the largest decrease in Kenya (down 8,500.0%).
Cereals - Excluding Beer — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Kazakhstan | 1,413 1000 t | 2023 | down 3.4% | volatile |
| 2 | Indonesia | 842 1000 t | 2023 | up 84,100.0% | volatile |
| 3 | Venezuela (Bolivarian Republic of) | 728 1000 t | 2023 | down 35.0% | volatile |
| 4 | Djibouti | 533 1000 t | 2023 | down 20.1% | volatile |
| 5 | Hungary | 314 1000 t | 2023 | up 116.6% | volatile |
| 6 | Austria | 308 1000 t | 2023 | up 46.0% | volatile |
| 7 | Nigeria | 276 1000 t | 2023 | up 3.0% | volatile |
| 8 | Ghana | 154 1000 t | 2023 | up 1,000.0% | volatile |
| 9 | United Kingdom | 153 1000 t | 2023 | down 13.6% | volatile |
| 9 | United Kingdom of Great Britain and Northern Ireland | 153 1000 t | 2023 | down 13.6% | volatile |
| 11 | Bulgaria | 122 1000 t | 2023 | up 47.0% | volatile |
| 12 | Ukraine | 98 1000 t | 2023 | down 97.1% | volatile |
| 13 | France | 67 1000 t | 2023 | up 709.1% | volatile |
| 14 | Thailand | 53 1000 t | 2023 | down 17.2% | flat |
| 15 | Belarus | 39 1000 t | 2023 | down 69.5% | falling |
| 15 | United States | 39 1000 t | 2023 | down 97.8% | volatile |
| 17 | Georgia | 28 1000 t | 2023 | up 300.0% | volatile |
| 18 | Mongolia | 15 1000 t | 2023 | — | volatile |
| 19 | Bangladesh | 14 1000 t | 2023 | up 366.7% | volatile |
| 19 | Colombia | 14 1000 t | 2023 | up 75.0% | volatile |
| 21 | Cote d'Ivoire | 10 1000 t | 2023 | down 82.5% | volatile |
| 21 | Côte d'Ivoire | 10 1000 t | 2023 | down 82.5% | volatile |
| 23 | Guinea-Bissau | 8 1000 t | 2023 | up 900.0% | volatile |
| 23 | Libya | 8 1000 t | 2023 | — | volatile |
| 25 | Zimbabwe | 6 1000 t | 2023 | up 200.0% | rising |
| 26 | Slovenia | 3 1000 t | 2023 | down 40.0% | falling |
| 27 | Marshall Islands | 2 1000 t | 2023 | — | volatile |
| 27 | Micronesia | 2 1000 t | 2023 | — | volatile |
| 29 | Namibia | 1 1000 t | 2023 | — | volatile |
| 29 | Norway | 1 1000 t | 2023 | down 98.4% | volatile |
| 29 | East Timor | 1 1000 t | 2023 | down 97.7% | volatile |
| 29 | Saint Vincent and the Grenadines | 1 1000 t | 2023 | — | volatile |
| 29 | Timor-Leste | 1 1000 t | 2023 | down 97.7% | volatile |
| 34 | Afghanistan | 0 1000 t | 2023 | up 100.0% | volatile |
| 34 | Angola | 0 1000 t | 2023 | — | volatile |
| 34 | Albania | 0 1000 t | 2023 | down 100.0% | volatile |
| 34 | Belize | 0 1000 t | 2023 | — | volatile |
| 34 | Barbados | 0 1000 t | 2023 | — | volatile |
| 34 | Bhutan | 0 1000 t | 2023 | — | volatile |
| 34 | Botswana | 0 1000 t | 2023 | down 100.0% | volatile |
| 34 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 34 | Congo | 0 1000 t | 2023 | — | volatile |
| 34 | Cuba | 0 1000 t | 2019 | down 100.0% | volatile |
| 34 | Cyprus | 0 1000 t | 2023 | up 100.0% | volatile |
| 34 | Ethiopia | 0 1000 t | 2023 | down 100.0% | volatile |
| 34 | Fiji | 0 1000 t | 2023 | — | volatile |
| 34 | Gabon | 0 1000 t | 2023 | — | volatile |
| 34 | Guinea | 0 1000 t | 2023 | — | volatile |
| 34 | Guyana | 0 1000 t | 2023 | down 100.0% | volatile |
| 34 | Haiti | 0 1000 t | 2023 | down 100.0% | volatile |
| 34 | Iraq | 0 1000 t | 2023 | — | volatile |
| 34 | Iceland | 0 1000 t | 2023 | down 100.0% | volatile |
| 34 | Jamaica | 0 1000 t | 2023 | — | volatile |
| 34 | Kiribati | 0 1000 t | 2023 | — | volatile |
| 34 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 34 | Laos | 0 1000 t | 2023 | — | volatile |
| 34 | Liberia | 0 1000 t | 2023 | — | volatile |
| 34 | Saint Lucia | 0 1000 t | 2023 | — | volatile |
| 34 | Lesotho | 0 1000 t | 2023 | up 100.0% | volatile |
| 34 | Maldives | 0 1000 t | 2023 | — | volatile |
| 34 | Mauritania | 0 1000 t | 2023 | — | volatile |
| 34 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 34 | New Caledonia | 0 1000 t | 2023 | down 100.0% | volatile |
| 34 | Panama | 0 1000 t | 2023 | down 100.0% | volatile |
| 34 | Portugal | 0 1000 t | 2023 | — | volatile |
| 34 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 34 | Saudi Arabia | 0 1000 t | 2023 | — | volatile |
| 34 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 34 | Serbia | 0 1000 t | 2023 | — | volatile |
| 34 | Sao Tome and Principe | 0 1000 t | 2023 | — | volatile |
| 34 | Suriname | 0 1000 t | 2023 | down 100.0% | volatile |
| 34 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 34 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 34 | Tunisia | 0 1000 t | 2023 | — | volatile |
| 34 | Samoa | 0 1000 t | 2023 | — | volatile |
| 34 | Yemen | 0 1000 t | 2023 | — | volatile |
| 34 | Melanesia | 0 1000 t | 2023 | down 100.0% | volatile |
| 34 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 34 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | up 100.0% | volatile |
| 34 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 34 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 34 | China, Macao SAR | 0 1000 t | 2023 | down 100.0% | volatile |
| 100 | Bahrain | -1 1000 t | 2023 | — | volatile |
| 100 | Bosnia and Herzegovina | -1 1000 t | 2023 | — | volatile |
| 100 | Gambia | -1 1000 t | 2023 | — | volatile |
| 100 | Honduras | -1 1000 t | 2023 | — | volatile |
| 100 | Croatia | -1 1000 t | 2023 | up 94.7% | volatile |
| 100 | Jordan | -1 1000 t | 2023 | up 80.0% | volatile |
| 100 | Lebanon | -1 1000 t | 2023 | — | volatile |
| 100 | Morocco | -1 1000 t | 2023 | unchanged | volatile |
| 100 | Niger | -1 1000 t | 2023 | — | volatile |
| 100 | Rwanda | -1 1000 t | 2023 | — | volatile |
| 100 | Syria | -1 1000 t | 2023 | — | volatile |
| 100 | Syrian Arab Republic | -1 1000 t | 2023 | — | volatile |
| 100 | Micronesia (Federated States of) | -1 1000 t | 2023 | — | volatile |
| 113 | Azerbaijan | -2 1000 t | 2023 | down 112.5% | volatile |
| 113 | Myanmar | -2 1000 t | 2023 | — | volatile |
| 113 | Senegal | -2 1000 t | 2023 | down 105.4% | volatile |
| 113 | Eswatini | -2 1000 t | 2023 | up 50.0% | volatile |
| 113 | Democratic People's Republic of Korea | -2 1000 t | 2018 | — | volatile |
| 118 | Antigua and Barbuda | -3 1000 t | 2023 | — | volatile |
| 118 | Ecuador | -3 1000 t | 2023 | — | volatile |
| 118 | Nicaragua | -3 1000 t | 2023 | up 85.7% | volatile |
| 118 | Pakistan | -3 1000 t | 2023 | up 70.0% | volatile |
| 118 | Uganda | -3 1000 t | 2023 | up 72.7% | volatile |
| 118 | Iran (Islamic Republic of) | -3 1000 t | 2023 | up 92.7% | volatile |
| 124 | Guatemala | -4 1000 t | 2023 | — | volatile |
| 124 | Malta | -4 1000 t | 2023 | up 33.3% | rising |
| 126 | Kuwait | -5 1000 t | 2023 | down 131.2% | volatile |
| 127 | Costa Rica | -6 1000 t | 2023 | — | volatile |
| 127 | Finland | -6 1000 t | 2023 | down 110.7% | volatile |
| 127 | Israel | -6 1000 t | 2023 | — | volatile |
| 127 | Slovakia | -6 1000 t | 2023 | down 50.0% | volatile |
| 131 | Burkina Faso | -7 1000 t | 2023 | down 600.0% | volatile |
| 131 | Algeria | -7 1000 t | 2023 | — | volatile |
| 131 | Luxembourg | -7 1000 t | 2023 | up 41.7% | volatile |
| 134 | Madagascar | -8 1000 t | 2023 | — | volatile |
| 134 | Mozambique | -8 1000 t | 2023 | — | volatile |
| 134 | Uruguay | -8 1000 t | 2023 | up 75.8% | volatile |
| 137 | Uzbekistan | -10 1000 t | 2023 | — | volatile |
| 137 | Democratic Republic of the Congo | -10 1000 t | 2023 | — | volatile |
| 139 | Nepal | -11 1000 t | 2023 | down 266.7% | volatile |
| 139 | Zambia | -11 1000 t | 2023 | down 1,000.0% | volatile |
| 141 | United Arab Emirates | -13 1000 t | 2023 | up 90.1% | volatile |
| 141 | Turkey | -13 1000 t | 2023 | down 62.5% | volatile |
| 141 | Türkiye | -13 1000 t | 2023 | down 62.5% | volatile |
| 144 | Estonia | -14 1000 t | 2023 | down 240.0% | volatile |
| 145 | Dominican Republic | -15 1000 t | 2023 | down 475.0% | volatile |
| 145 | Moldova | -15 1000 t | 2023 | down 1,600.0% | volatile |
| 145 | Republic of Moldova | -15 1000 t | 2023 | down 1,600.0% | volatile |
| 145 | China, mainland | -15 1000 t | 2023 | up 44.4% | rising |
| 149 | Caribbean | -17 1000 t | 2023 | down 230.8% | volatile |
| 150 | China, Taiwan Province of | -20 1000 t | 2023 | down 900.0% | volatile |
| 151 | Malawi | -21 1000 t | 2023 | down 110.0% | volatile |
| 152 | Latvia | -22 1000 t | 2023 | down 300.0% | volatile |
| 153 | Cambodia | -23 1000 t | 2023 | — | volatile |
| 154 | South Africa | -26 1000 t | 2023 | down 550.0% | volatile |
| 155 | Oman | -30 1000 t | 2023 | down 230.4% | volatile |
| 156 | Switzerland | -31 1000 t | 2023 | up 6.1% | rising |
| 157 | Sweden | -34 1000 t | 2023 | — | volatile |
| 158 | Argentina | -35 1000 t | 2023 | up 83.3% | volatile |
| 158 | China | -35 1000 t | 2023 | down 29.6% | flat |
| 160 | Czechia | -36 1000 t | 2023 | up 42.9% | volatile |
| 160 | Peru | -36 1000 t | 2023 | down 244.0% | volatile |
| 160 | United Republic of Tanzania | -36 1000 t | 2023 | down 1,700.0% | volatile |
| 163 | Republic of Korea | -41 1000 t | 2023 | up 97.3% | volatile |
| 164 | New Zealand | -53 1000 t | 2023 | down 17.8% | rising |
| 165 | Greece | -57 1000 t | 2023 | down 533.3% | volatile |
| 165 | Russia | -57 1000 t | 2023 | up 89.8% | volatile |
| 165 | Russian Federation | -57 1000 t | 2023 | up 89.8% | volatile |
| 168 | Sri Lanka | -60 1000 t | 2023 | — | volatile |
| 169 | Lithuania | -62 1000 t | 2023 | down 588.9% | volatile |
| 170 | Australia | -70 1000 t | 2023 | down 7.7% | falling |
| 171 | Kenya | -86 1000 t | 2023 | down 8,500.0% | volatile |
| 172 | Chile | -89 1000 t | 2023 | down 368.4% | volatile |
| 173 | Kyrgyzstan | -98 1000 t | 2023 | down 2,550.0% | volatile |
| 174 | Armenia | -106 1000 t | 2023 | down 230.9% | volatile |
| 175 | Spain | -109 1000 t | 2023 | down 39.7% | volatile |
| 176 | Vietnam | -113 1000 t | 2023 | down 144.0% | volatile |
| 176 | Viet Nam | -113 1000 t | 2023 | down 144.0% | volatile |
| 178 | Australia and New Zealand | -123 1000 t | 2023 | down 11.8% | falling |
| 179 | Belgium | -129 1000 t | 2023 | down 110.5% | volatile |
| 180 | India | -134 1000 t | 2023 | up 85.6% | volatile |
| 181 | Egypt | -137 1000 t | 2023 | down 3,325.0% | volatile |
| 182 | Denmark | -141 1000 t | 2023 | down 1,040.0% | volatile |
| 183 | Philippines | -149 1000 t | 2023 | down 65.6% | volatile |
| 184 | Netherlands (Kingdom of the) | -162 1000 t | 2023 | down 48.6% | rising |
| 185 | Poland | -202 1000 t | 2023 | down 281.1% | volatile |
| 186 | Italy | -249 1000 t | 2023 | down 561.1% | volatile |
| 187 | Paraguay | -331 1000 t | 2023 | down 4,628.6% | volatile |
| 188 | Ireland | -337 1000 t | 2023 | down 57.5% | falling |
| 189 | Brazil | -371 1000 t | 2023 | down 437.7% | volatile |
| 190 | Mexico | -428 1000 t | 2023 | — | volatile |
| 191 | Malaysia | -442 1000 t | 2023 | down 325.0% | falling |
| 192 | Germany | -676 1000 t | 2023 | up 12.2% | volatile |
| 193 | Romania | -713 1000 t | 2023 | down 296.4% | volatile |
| 194 | Canada | -1,657 1000 t | 2023 | down 25.0% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Net Food Importing Developing Countries (NFIDCs) 2,188 1000 t
- Africa 1,994 1000 t
- Western Africa 1,807 1000 t
- Least Developed Countries (LDCs) 1,778 1000 t
- Central Asia 1,305 1000 t
- Low Income Food Deficit Countries (LIFDCs) 1,073 1000 t
- Asia 1,049 1000 t
- Land Locked Developing Countries (LLDCs) 799 1000 t
- Eastern Africa 362 1000 t
- South-Eastern Asia 168 1000 t
- United States of America 39 1000 t
- Small island developing States (SIDS) -7 1000 t
- Middle Africa -11 1000 t
- Southern Africa -26 1000 t
- Eastern Asia -75 1000 t
- Oceania -122 1000 t
- South America -132 1000 t
- Northern Africa -137 1000 t
- Western Asia -153 1000 t
- Southern Asia -196 1000 t
- Southern Europe -419 1000 t
- Central America -442 1000 t
- Eastern Europe -457 1000 t
- Northern Europe -461 1000 t
- Western Europe -631 1000 t
- World -1,257 1000 t
- Northern America -1,618 1000 t
- Europe -1,968 1000 t
- European Union (27) -2,154 1000 t
- Americas -2,210 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.