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 117 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 -1 1000 t, and the mean is -34.61 1000 t.
Over the past decade 23 countries rose and 25 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 | Argentina | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 3 | Bangladesh | 0 1000 t | 2023 | — | volatile |
| 3 | Bulgaria | 0 1000 t | 2023 | — | volatile |
| 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 | 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 | Gabon | 0 1000 t | 2023 | — | volatile |
| 3 | Guinea | 0 1000 t | 2023 | — | volatile |
| 3 | Guyana | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Croatia | 0 1000 t | 2023 | — | volatile |
| 3 | Italy | 0 1000 t | 2023 | down 100.0% | volatile |
| 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 | Liberia | 0 1000 t | 2023 | — | volatile |
| 3 | Luxembourg | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Moldova | 0 1000 t | 2023 | — | volatile |
| 3 | Myanmar | 0 1000 t | 2023 | — | volatile |
| 3 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 3 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 3 | Philippines | 0 1000 t | 2023 | — | volatile |
| 3 | Portugal | 0 1000 t | 2023 | — | volatile |
| 3 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 3 | El Salvador | 0 1000 t | 2023 | — | volatile |
| 3 | Suriname | 0 1000 t | 2023 | — | volatile |
| 3 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 3 | Turkmenistan | 0 1000 t | 2023 | — | volatile |
| 3 | Uruguay | 0 1000 t | 2023 | up 100.0% | volatile |
| 3 | Samoa | 0 1000 t | 2023 | — | volatile |
| 3 | Yemen | 0 1000 t | 2023 | — | volatile |
| 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 Moldova | 0 1000 t | 2023 | — | volatile |
| 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 |
| 127 | Belarus | -1 1000 t | 2023 | — | volatile |
| 127 | Colombia | -1 1000 t | 2023 | — | volatile |
| 127 | United Kingdom | -1 1000 t | 2023 | — | volatile |
| 127 | Guatemala | -1 1000 t | 2023 | — | volatile |
| 127 | Indonesia | -1 1000 t | 2023 | up 50.0% | volatile |
| 127 | Morocco | -1 1000 t | 2023 | unchanged | volatile |
| 127 | Senegal | -1 1000 t | 2023 | — | volatile |
| 127 | Syria | -1 1000 t | 2023 | — | volatile |
| 127 | Ukraine | -1 1000 t | 2023 | up 75.0% | volatile |
| 127 | Syrian Arab Republic | -1 1000 t | 2023 | — | volatile |
| 127 | United Kingdom of Great Britain and Northern Ireland | -1 1000 t | 2023 | — | volatile |
| 138 | Armenia | -2 1000 t | 2023 | — | volatile |
| 138 | Denmark | -2 1000 t | 2023 | down 133.3% | volatile |
| 138 | Estonia | -2 1000 t | 2023 | down 100.0% | falling |
| 138 | Ghana | -2 1000 t | 2023 | — | volatile |
| 138 | Eswatini | -2 1000 t | 2023 | unchanged | volatile |
| 138 | Iran (Islamic Republic of) | -2 1000 t | 2023 | — | volatile |
| 144 | Algeria | -3 1000 t | 2023 | — | volatile |
| 144 | Nicaragua | -3 1000 t | 2023 | up 85.7% | volatile |
| 144 | Turkey | -3 1000 t | 2023 | down 50.0% | volatile |
| 144 | Uganda | -3 1000 t | 2023 | down 50.0% | volatile |
| 144 | Türkiye | -3 1000 t | 2023 | down 50.0% | volatile |
| 149 | Slovakia | -4 1000 t | 2023 | up 82.6% | rising |
| 150 | Costa Rica | -5 1000 t | 2023 | — | volatile |
| 150 | Kuwait | -5 1000 t | 2023 | — | volatile |
| 150 | Laos | -5 1000 t | 2023 | — | volatile |
| 150 | Pakistan | -5 1000 t | 2023 | up 28.6% | falling |
| 150 | Lao People's Democratic Republic | -5 1000 t | 2023 | — | volatile |
| 150 | Netherlands (Kingdom of the) | -5 1000 t | 2023 | up 86.5% | volatile |
| 156 | Finland | -6 1000 t | 2023 | up 85.0% | volatile |
| 157 | Burkina Faso | -7 1000 t | 2023 | down 600.0% | volatile |
| 157 | Brazil | -7 1000 t | 2023 | up 30.0% | volatile |
| 157 | South Africa | -7 1000 t | 2023 | — | volatile |
| 160 | Malaysia | -11 1000 t | 2023 | — | volatile |
| 160 | Nepal | -11 1000 t | 2023 | down 266.7% | volatile |
| 160 | Zambia | -11 1000 t | 2023 | down 450.0% | volatile |
| 163 | United Arab Emirates | -12 1000 t | 2023 | up 53.8% | volatile |
| 164 | Poland | -14 1000 t | 2023 | up 67.4% | volatile |
| 165 | Dominican Republic | -15 1000 t | 2023 | — | volatile |
| 165 | Caribbean | -15 1000 t | 2023 | — | volatile |
| 167 | Cote d'Ivoire | -17 1000 t | 2023 | down 1,600.0% | volatile |
| 167 | Côte d'Ivoire | -17 1000 t | 2023 | down 1,600.0% | volatile |
| 169 | Latvia | -20 1000 t | 2023 | — | volatile |
| 170 | France | -21 1000 t | 2023 | down 163.6% | volatile |
| 170 | Malawi | -21 1000 t | 2023 | down 133.3% | volatile |
| 172 | Paraguay | -22 1000 t | 2023 | down 214.3% | volatile |
| 173 | Oman | -25 1000 t | 2023 | down 733.3% | volatile |
| 174 | Nigeria | -28 1000 t | 2023 | — | volatile |
| 175 | Czechia | -31 1000 t | 2023 | down 3,200.0% | volatile |
| 175 | Sweden | -31 1000 t | 2023 | — | volatile |
| 177 | Romania | -35 1000 t | 2023 | down 3,600.0% | volatile |
| 178 | Ireland | -44 1000 t | 2023 | — | volatile |
| 179 | Russia | -56 1000 t | 2023 | up 70.2% | volatile |
| 179 | Russian Federation | -56 1000 t | 2023 | up 70.2% | volatile |
| 181 | Sri Lanka | -59 1000 t | 2023 | — | volatile |
| 182 | Hungary | -68 1000 t | 2023 | — | volatile |
| 183 | Australia | -70 1000 t | 2023 | down 32.1% | volatile |
| 183 | Australia and New Zealand | -70 1000 t | 2023 | down 32.1% | volatile |
| 185 | India | -81 1000 t | 2023 | down 24.6% | volatile |
| 186 | Chile | -84 1000 t | 2023 | down 366.7% | volatile |
| 187 | Belgium | -94 1000 t | 2023 | down 954.5% | volatile |
| 188 | Germany | -97 1000 t | 2023 | — | volatile |
| 189 | Spain | -100 1000 t | 2023 | — | volatile |
| 190 | United States | -110 1000 t | 2023 | up 28.6% | volatile |
| 191 | Egypt | -137 1000 t | 2023 | down 3,325.0% | volatile |
| 192 | Vietnam | -384 1000 t | 2023 | — | volatile |
| 192 | Viet Nam | -384 1000 t | 2023 | — | volatile |
| 194 | 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
- 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
- Least Developed Countries (LDCs) -72 1000 t
- Land Locked Developing Countries (LLDCs) -97 1000 t
- Northern Europe -99 1000 t
- Southern Europe -100 1000 t
- United States of America -110 1000 t
- South America -114 1000 t
- Northern Africa -140 1000 t
- Southern Asia -158 1000 t
- Eastern Europe -210 1000 t
- Western Europe -212 1000 t
- Africa -253 1000 t
- Net Food Importing Developing Countries (NFIDCs) -307 1000 t
- South-Eastern Asia -401 1000 t
- European Union (27) -563 1000 t
- Asia -607 1000 t
- Europe -621 1000 t
- Northern America -1,821 1000 t
- Americas -1,959 1000 t
- World -3,511 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.