Cereals, other — 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...
What the numbers show
Cereals, other — Residuals is currently reported for 182 countries. The highest value is 6 1000 t in Austria; the lowest is -1,711 1000 t in Canada.
The median across all reporting countries is 0 1000 t, and the mean is -19.04 1000 t.
Over the past decade 21 countries rose and 23 fell. The largest increase was in Lithuania (up 120.0%), and the largest decrease in Romania (down 3,600.0%).
Cereals, other — Residuals: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Austria | 6 1000 t | 2023 | — | volatile |
| 1 | Lithuania | 6 1000 t | 2023 | up 120.0% | volatile |
| 3 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 3 | Angola | 0 1000 t | 2023 | — | volatile |
| 3 | Albania | 0 1000 t | 2023 | — | flat |
| 3 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 3 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 3 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 3 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 3 | Bahrain | 0 1000 t | 2023 | — | flat |
| 3 | Bahamas | 0 1000 t | 2023 | — | flat |
| 3 | Bosnia and Herzegovina | 0 1000 t | 2023 | — | flat |
| 3 | Belize | 0 1000 t | 2023 | — | flat |
| 3 | Barbados | 0 1000 t | 2023 | — | flat |
| 3 | Bhutan | 0 1000 t | 2023 | — | flat |
| 3 | Botswana | 0 1000 t | 2023 | — | flat |
| 3 | Switzerland | 0 1000 t | 2023 | — | flat |
| 3 | China | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Cameroon | 0 1000 t | 2023 | — | volatile |
| 3 | Congo | 0 1000 t | 2023 | — | volatile |
| 3 | Comoros | 0 1000 t | 2023 | — | flat |
| 3 | Cuba | 0 1000 t | 2019 | — | flat |
| 3 | Cyprus | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Djibouti | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Ecuador | 0 1000 t | 2023 | — | volatile |
| 3 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 3 | Fiji | 0 1000 t | 2023 | — | flat |
| 3 | Gabon | 0 1000 t | 2023 | — | volatile |
| 3 | Georgia | 0 1000 t | 2023 | — | flat |
| 3 | Guinea | 0 1000 t | 2023 | — | volatile |
| 3 | Gambia | 0 1000 t | 2023 | — | flat |
| 3 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 3 | Greece | 0 1000 t | 2023 | — | flat |
| 3 | Grenada | 0 1000 t | 2023 | — | flat |
| 3 | Guyana | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Honduras | 0 1000 t | 2023 | — | flat |
| 3 | Croatia | 0 1000 t | 2023 | — | volatile |
| 3 | Haiti | 0 1000 t | 2023 | — | flat |
| 3 | Iraq | 0 1000 t | 2023 | — | flat |
| 3 | Iceland | 0 1000 t | 2023 | — | flat |
| 3 | Israel | 0 1000 t | 2023 | — | flat |
| 3 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | Jamaica | 0 1000 t | 2023 | — | flat |
| 3 | Jordan | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Kazakhstan | 0 1000 t | 2023 | — | volatile |
| 3 | Kenya | 0 1000 t | 2023 | — | volatile |
| 3 | Kyrgyzstan | 0 1000 t | 2023 | — | volatile |
| 3 | Cambodia | 0 1000 t | 2023 | — | volatile |
| 3 | Kiribati | 0 1000 t | 2023 | — | flat |
| 3 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 3 | Lebanon | 0 1000 t | 2023 | — | flat |
| 3 | Liberia | 0 1000 t | 2023 | — | volatile |
| 3 | Libya | 0 1000 t | 2023 | — | flat |
| 3 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 3 | Lesotho | 0 1000 t | 2023 | — | flat |
| 3 | Luxembourg | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Madagascar | 0 1000 t | 2023 | — | flat |
| 3 | Maldives | 0 1000 t | 2023 | — | flat |
| 3 | Mexico | 0 1000 t | 2023 | — | flat |
| 3 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 3 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 3 | Malta | 0 1000 t | 2023 | — | flat |
| 3 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 3 | Montenegro | 0 1000 t | 2023 | — | flat |
| 3 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 3 | Mozambique | 0 1000 t | 2023 | — | flat |
| 3 | Mauritania | 0 1000 t | 2023 | — | flat |
| 3 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 3 | Namibia | 0 1000 t | 2023 | — | flat |
| 3 | New Caledonia | 0 1000 t | 2023 | — | flat |
| 3 | Niger | 0 1000 t | 2023 | — | flat |
| 3 | Norway | 0 1000 t | 2023 | — | flat |
| 3 | Nauru | 0 1000 t | 2023 | — | flat |
| 3 | New Zealand | 0 1000 t | 2023 | — | flat |
| 3 | Panama | 0 1000 t | 2023 | — | flat |
| 3 | Peru | 0 1000 t | 2023 | — | flat |
| 3 | Philippines | 0 1000 t | 2023 | — | volatile |
| 3 | Papua New Guinea | 0 1000 t | 2023 | — | flat |
| 3 | Portugal | 0 1000 t | 2023 | — | volatile |
| 3 | French Polynesia | 0 1000 t | 2023 | — | flat |
| 3 | Qatar | 0 1000 t | 2023 | — | flat |
| 3 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 3 | Saudi Arabia | 0 1000 t | 2023 | — | flat |
| 3 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 3 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 3 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 3 | Serbia | 0 1000 t | 2023 | — | flat |
| 3 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 3 | Suriname | 0 1000 t | 2023 | — | volatile |
| 3 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 3 | Seychelles | 0 1000 t | 2023 | — | flat |
| 3 | Thailand | 0 1000 t | 2023 | — | flat |
| 3 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 3 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 3 | Tonga | 0 1000 t | 2023 | — | flat |
| 3 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 3 | Tunisia | 0 1000 t | 2023 | — | flat |
| 3 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 3 | Uruguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 3 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 3 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 3 | Samoa | 0 1000 t | 2023 | — | volatile |
| 3 | Yemen | 0 1000 t | 2023 | — | volatile |
| 3 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 3 | Micronesia | 0 1000 t | 2023 | — | flat |
| 3 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 3 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 3 | Melanesia | 0 1000 t | 2023 | — | flat |
| 3 | Polynesia | 0 1000 t | 2023 | — | volatile |
| 3 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | volatile |
| 3 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | volatile |
| 3 | China, Hong Kong SAR | 0 1000 t | 2023 | — | volatile |
| 3 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 3 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 3 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 3 | China, mainland | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | United Republic of Tanzania | 0 1000 t | 2023 | down 100.0% | volatile |
| 3 | China, Taiwan Province of | 0 1000 t | 2023 | — | volatile |
| 3 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 3 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 3 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
| 124 | Belarus | -1 1000 t | 2023 | — | volatile |
| 124 | Colombia | -1 1000 t | 2023 | — | volatile |
| 124 | Guatemala | -1 1000 t | 2023 | — | volatile |
| 124 | Indonesia | -1 1000 t | 2023 | up 50.0% | volatile |
| 124 | Morocco | -1 1000 t | 2023 | unchanged | volatile |
| 124 | Senegal | -1 1000 t | 2023 | — | volatile |
| 124 | Ukraine | -1 1000 t | 2023 | up 75.0% | volatile |
| 124 | Syrian Arab Republic | -1 1000 t | 2023 | — | volatile |
| 124 | United Kingdom of Great Britain and Northern Ireland | -1 1000 t | 2023 | — | volatile |
| 133 | Armenia | -2 1000 t | 2023 | — | volatile |
| 133 | Denmark | -2 1000 t | 2023 | down 133.3% | volatile |
| 133 | Estonia | -2 1000 t | 2023 | down 100.0% | falling |
| 133 | Ghana | -2 1000 t | 2023 | — | volatile |
| 133 | Eswatini | -2 1000 t | 2023 | unchanged | volatile |
| 133 | Iran (Islamic Republic of) | -2 1000 t | 2023 | — | volatile |
| 139 | Algeria | -3 1000 t | 2023 | — | volatile |
| 139 | Nicaragua | -3 1000 t | 2023 | up 85.7% | volatile |
| 139 | Uganda | -3 1000 t | 2023 | down 50.0% | volatile |
| 139 | Türkiye | -3 1000 t | 2023 | down 50.0% | volatile |
| 143 | Slovakia | -4 1000 t | 2023 | up 82.6% | rising |
| 144 | Costa Rica | -5 1000 t | 2023 | — | volatile |
| 144 | Kuwait | -5 1000 t | 2023 | — | volatile |
| 144 | Pakistan | -5 1000 t | 2023 | up 28.6% | falling |
| 144 | Lao People's Democratic Republic | -5 1000 t | 2023 | — | volatile |
| 144 | Netherlands (Kingdom of the) | -5 1000 t | 2023 | up 86.5% | volatile |
| 149 | Finland | -6 1000 t | 2023 | up 85.0% | volatile |
| 150 | Burkina Faso | -7 1000 t | 2023 | down 600.0% | volatile |
| 150 | Brazil | -7 1000 t | 2023 | up 30.0% | volatile |
| 152 | Malaysia | -11 1000 t | 2023 | — | volatile |
| 152 | Nepal | -11 1000 t | 2023 | down 266.7% | volatile |
| 152 | Zambia | -11 1000 t | 2023 | down 450.0% | volatile |
| 155 | United Arab Emirates | -12 1000 t | 2023 | up 53.8% | volatile |
| 156 | Poland | -14 1000 t | 2023 | up 67.4% | volatile |
| 157 | Dominican Republic | -15 1000 t | 2023 | — | volatile |
| 157 | Caribbean | -15 1000 t | 2023 | — | volatile |
| 159 | Côte d'Ivoire | -17 1000 t | 2023 | down 1,600.0% | volatile |
| 160 | Latvia | -20 1000 t | 2023 | — | volatile |
| 161 | France | -21 1000 t | 2023 | down 163.6% | volatile |
| 161 | Malawi | -21 1000 t | 2023 | down 133.3% | volatile |
| 163 | Paraguay | -22 1000 t | 2023 | down 214.3% | volatile |
| 164 | Oman | -25 1000 t | 2023 | down 733.3% | volatile |
| 165 | Nigeria | -28 1000 t | 2023 | — | volatile |
| 166 | Czechia | -31 1000 t | 2023 | down 3,200.0% | volatile |
| 166 | Sweden | -31 1000 t | 2023 | — | volatile |
| 168 | Romania | -35 1000 t | 2023 | down 3,600.0% | volatile |
| 169 | Ireland | -44 1000 t | 2023 | — | volatile |
| 170 | Russian Federation | -56 1000 t | 2023 | up 70.2% | volatile |
| 171 | Sri Lanka | -59 1000 t | 2023 | — | volatile |
| 172 | Hungary | -68 1000 t | 2023 | — | volatile |
| 173 | Australia | -70 1000 t | 2023 | down 32.1% | volatile |
| 173 | Australia and New Zealand | -70 1000 t | 2023 | down 32.1% | volatile |
| 175 | India | -81 1000 t | 2023 | down 24.6% | volatile |
| 176 | Chile | -84 1000 t | 2023 | down 366.7% | volatile |
| 177 | Belgium | -94 1000 t | 2023 | down 954.5% | volatile |
| 178 | Germany | -97 1000 t | 2023 | — | volatile |
| 179 | Spain | -100 1000 t | 2023 | — | volatile |
| 180 | Egypt | -137 1000 t | 2023 | down 3,325.0% | volatile |
| 181 | Viet Nam | -384 1000 t | 2023 | — | volatile |
| 182 | Canada | -1,711 1000 t | 2023 | down 20.8% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Central Asia 0 1000 t
- Middle Africa 0 1000 t
- Eastern Asia 0 1000 t
- South Africa -7 1000 t
- Southern Africa -9 1000 t
- Central America -9 1000 t
- Small Island Developing States (SIDS) -15 1000 t
- Eastern Africa -36 1000 t
- Western Asia -48 1000 t
- Low Income Food Deficit Countries (LIFDCs) -61 1000 t
- Western Africa -68 1000 t
- Oceania -70 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.