Cereals, other — Domestic supply quantity 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
181
Highest
6,543 1000 t
Ethiopia
Lowest
-1,536 1000 t
Canada
Median
16 1000 t
Years covered
14
2010–2023
Data points
3,046
What the numbers show
Cereals, other — Domestic supply quantity is currently reported for 181 countries. The highest value is 6,543 1000 t in Ethiopia; the lowest is -1,536 1000 t in Canada.
The median across all reporting countries is 16 1000 t, and the mean is 216.41 1000 t.
The gap between the highest and lowest reporting country is a factor of about 4.
Over the past decade 74 countries rose and 65 fell. The largest increase was in Ghana (up 10,116.7%), and the largest decrease in Vietnam (down 9,625.0%).
Cereals, other — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Ethiopia | 6,543 1000 t | 2023 | up 52.3% | rising |
| 2 | Poland | 5,644 1000 t | 2023 | down 22.0% | falling |
| 3 | China | 4,008 1000 t | 2023 | up 220.1% | rising |
| 4 | China, mainland | 3,976 1000 t | 2023 | up 234.7% | volatile |
| 5 | France | 2,414 1000 t | 2023 | down 9.5% | falling |
| 6 | Germany | 1,966 1000 t | 2023 | down 28.9% | falling |
| 7 | United States | 1,831 1000 t | 2023 | up 72.9% | rising |
| 8 | Belarus | 1,358 1000 t | 2023 | down 2.3% | falling |
| 9 | Russia | 1,268 1000 t | 2023 | up 3.4% | rising |
| 9 | Russian Federation | 1,268 1000 t | 2023 | up 3.4% | rising |
| 11 | Netherlands (Kingdom of the) | 926 1000 t | 2023 | up 246.8% | volatile |
| 12 | Ghana | 613 1000 t | 2023 | up 10,116.7% | volatile |
| 13 | Spain | 606 1000 t | 2023 | up 8.8% | rising |
| 14 | Kazakhstan | 557 1000 t | 2023 | up 49.3% | rising |
| 15 | Turkey | 503 1000 t | 2023 | up 152.8% | rising |
| 15 | Türkiye | 503 1000 t | 2023 | up 152.8% | rising |
| 17 | Guinea | 492 1000 t | 2023 | up 5.6% | rising |
| 18 | Mexico | 403 1000 t | 2023 | down 29.8% | falling |
| 19 | Austria | 377 1000 t | 2023 | up 19.3% | rising |
| 20 | Uruguay | 293 1000 t | 2023 | up 3,762.5% | volatile |
| 21 | Kenya | 270 1000 t | 2023 | up 81.2% | volatile |
| 22 | Lithuania | 264 1000 t | 2023 | up 11.9% | rising |
| 23 | Hungary | 248 1000 t | 2023 | down 40.0% | falling |
| 24 | Italy | 245 1000 t | 2023 | up 6.5% | rising |
| 25 | Saudi Arabia | 224 1000 t | 2023 | up 314.8% | volatile |
| 26 | Liberia | 215 1000 t | 2023 | — | volatile |
| 27 | Ukraine | 201 1000 t | 2023 | up 0.5% | falling |
| 28 | Bulgaria | 193 1000 t | 2023 | up 116.9% | rising |
| 29 | United Arab Emirates | 184 1000 t | 2023 | up 1,182.3% | volatile |
| 30 | Czechia | 180 1000 t | 2023 | down 14.7% | falling |
| 31 | Romania | 172 1000 t | 2023 | down 43.6% | rising |
| 32 | Argentina | 171 1000 t | 2023 | down 16.2% | falling |
| 33 | Serbia | 151 1000 t | 2023 | up 48.0% | rising |
| 34 | Brazil | 137 1000 t | 2023 | down 6.2% | falling |
| 35 | Belgium | 136 1000 t | 2023 | down 35.2% | flat |
| 36 | Denmark | 131 1000 t | 2023 | down 8.4% | volatile |
| 37 | Greece | 118 1000 t | 2023 | up 43.9% | rising |
| 38 | United Kingdom | 114 1000 t | 2023 | up 32.6% | rising |
| 38 | United Kingdom of Great Britain and Northern Ireland | 114 1000 t | 2023 | up 32.6% | rising |
| 40 | Sweden | 109 1000 t | 2023 | down 65.4% | falling |
| 41 | South Africa | 107 1000 t | 2023 | up 72.6% | rising |
| 42 | Republic of Korea | 106 1000 t | 2023 | up 76.7% | volatile |
| 43 | Australia and New Zealand | 99 1000 t | 2023 | down 48.4% | volatile |
| 44 | Malaysia | 82 1000 t | 2023 | down 12.8% | rising |
| 45 | United Republic of Tanzania | 75 1000 t | 2023 | up 188.5% | rising |
| 46 | Switzerland | 73 1000 t | 2023 | up 5.8% | flat |
| 46 | Guatemala | 73 1000 t | 2023 | up 1,725.0% | volatile |
| 46 | Laos | 73 1000 t | 2023 | up 10.6% | falling |
| 46 | Thailand | 73 1000 t | 2023 | down 16.1% | rising |
| 46 | Lao People's Democratic Republic | 73 1000 t | 2023 | up 10.6% | falling |
| 51 | Australia | 70 1000 t | 2023 | down 51.7% | volatile |
| 52 | Luxembourg | 69 1000 t | 2023 | up 245.0% | volatile |
| 53 | Iraq | 65 1000 t | 2023 | — | volatile |
| 54 | Finland | 60 1000 t | 2023 | up 114.3% | rising |
| 54 | Georgia | 60 1000 t | 2023 | up 300.0% | volatile |
| 56 | Nigeria | 56 1000 t | 2023 | down 31.7% | falling |
| 57 | Tunisia | 52 1000 t | 2023 | down 17.5% | rising |
| 58 | Uganda | 51 1000 t | 2023 | up 88.9% | volatile |
| 59 | Chile | 50 1000 t | 2023 | down 69.1% | volatile |
| 59 | India | 50 1000 t | 2023 | down 78.0% | volatile |
| 59 | Peru | 50 1000 t | 2023 | unchanged | rising |
| 62 | Portugal | 47 1000 t | 2023 | down 46.0% | rising |
| 63 | Latvia | 46 1000 t | 2023 | down 32.4% | falling |
| 64 | Uzbekistan | 43 1000 t | 2023 | up 126.3% | rising |
| 65 | Ireland | 38 1000 t | 2023 | down 17.4% | volatile |
| 66 | Croatia | 37 1000 t | 2023 | down 44.8% | falling |
| 66 | Niger | 37 1000 t | 2023 | up 131.2% | volatile |
| 68 | Estonia | 34 1000 t | 2023 | up 36.0% | rising |
| 68 | Slovakia | 34 1000 t | 2023 | up 78.9% | rising |
| 70 | Caribbean | 33 1000 t | 2023 | up 120.0% | volatile |
| 71 | El Salvador | 31 1000 t | 2023 | up 210.0% | volatile |
| 71 | Bolivia (Plurinational State of) | 31 1000 t | 2023 | up 3.3% | rising |
| 73 | New Zealand | 29 1000 t | 2023 | down 39.6% | falling |
| 74 | Senegal | 28 1000 t | 2023 | up 2,700.0% | volatile |
| 75 | Cyprus | 27 1000 t | 2023 | up 2,800.0% | volatile |
| 75 | Slovenia | 27 1000 t | 2023 | down 12.9% | rising |
| 77 | Democratic Republic of the Congo | 26 1000 t | 2023 | up 550.0% | volatile |
| 78 | Israel | 25 1000 t | 2023 | down 64.3% | volatile |
| 79 | Yemen | 24 1000 t | 2023 | — | volatile |
| 80 | Bosnia and Herzegovina | 23 1000 t | 2023 | down 54.0% | rising |
| 80 | Cote d'Ivoire | 23 1000 t | 2023 | unchanged | rising |
| 80 | Côte d'Ivoire | 23 1000 t | 2023 | unchanged | rising |
| 83 | Azerbaijan | 22 1000 t | 2023 | down 26.7% | falling |
| 83 | Pakistan | 22 1000 t | 2023 | down 38.9% | volatile |
| 85 | China, Taiwan Province of | 21 1000 t | 2023 | down 52.3% | volatile |
| 86 | Oman | 20 1000 t | 2023 | down 66.1% | volatile |
| 87 | Myanmar | 19 1000 t | 2023 | up 35.7% | flat |
| 87 | Melanesia | 19 1000 t | 2023 | up 35.7% | rising |
| 89 | Armenia | 18 1000 t | 2023 | down 18.2% | falling |
| 90 | Colombia | 16 1000 t | 2023 | down 11.1% | rising |
| 90 | Mauritania | 16 1000 t | 2023 | up 166.7% | volatile |
| 92 | Moldova | 15 1000 t | 2023 | unchanged | falling |
| 92 | Republic of Moldova | 15 1000 t | 2023 | unchanged | falling |
| 94 | Trinidad and Tobago | 12 1000 t | 2023 | up 50.0% | rising |
| 95 | Kyrgyzstan | 11 1000 t | 2023 | up 83.3% | volatile |
| 95 | Cambodia | 11 1000 t | 2023 | down 8.3% | volatile |
| 95 | Lesotho | 11 1000 t | 2023 | up 175.0% | volatile |
| 98 | Burkina Faso | 10 1000 t | 2023 | down 54.5% | falling |
| 98 | Indonesia | 10 1000 t | 2023 | down 85.1% | volatile |
| 98 | Papua New Guinea | 10 1000 t | 2023 | down 9.1% | flat |
| 98 | Sierra Leone | 10 1000 t | 2023 | up 11.1% | rising |
| 98 | Tajikistan | 10 1000 t | 2023 | up 900.0% | volatile |
| 103 | Montenegro | 9 1000 t | 2023 | up 200.0% | rising |
| 103 | Panama | 9 1000 t | 2023 | up 80.0% | volatile |
| 105 | Jordan | 8 1000 t | 2023 | up 100.0% | volatile |
| 106 | Botswana | 7 1000 t | 2023 | down 12.5% | falling |
| 106 | Fiji | 7 1000 t | 2023 | up 250.0% | volatile |
| 106 | Mongolia | 7 1000 t | 2023 | up 75.0% | volatile |
| 106 | Philippines | 7 1000 t | 2023 | unchanged | volatile |
| 106 | Qatar | 7 1000 t | 2023 | — | volatile |
| 106 | Zimbabwe | 7 1000 t | 2023 | down 41.7% | flat |
| 112 | Nepal | 6 1000 t | 2023 | down 40.0% | volatile |
| 112 | China, Hong Kong SAR | 6 1000 t | 2023 | down 64.7% | falling |
| 114 | Congo | 5 1000 t | 2023 | up 150.0% | volatile |
| 114 | Lebanon | 5 1000 t | 2023 | down 37.5% | falling |
| 114 | Libya | 5 1000 t | 2023 | up 150.0% | volatile |
| 114 | China, Macao SAR | 5 1000 t | 2023 | up 66.7% | rising |
| 118 | Bangladesh | 4 1000 t | 2023 | up 300.0% | volatile |
| 118 | Honduras | 4 1000 t | 2023 | down 63.6% | falling |
| 118 | Haiti | 4 1000 t | 2023 | up 300.0% | volatile |
| 118 | Morocco | 4 1000 t | 2023 | up 100.0% | volatile |
| 118 | Malta | 4 1000 t | 2023 | up 300.0% | volatile |
| 123 | Bhutan | 3 1000 t | 2023 | — | falling |
| 123 | Djibouti | 3 1000 t | 2023 | up 200.0% | volatile |
| 123 | Norway | 3 1000 t | 2023 | up 50.0% | volatile |
| 126 | Afghanistan | 2 1000 t | 2023 | — | volatile |
| 126 | Bahrain | 2 1000 t | 2023 | — | rising |
| 126 | Cameroon | 2 1000 t | 2023 | — | volatile |
| 126 | Ecuador | 2 1000 t | 2023 | down 50.0% | flat |
| 126 | Guinea-Bissau | 2 1000 t | 2023 | down 33.3% | falling |
| 126 | Iceland | 2 1000 t | 2023 | down 50.0% | rising |
| 126 | Madagascar | 2 1000 t | 2023 | up 100.0% | volatile |
| 126 | Zambia | 2 1000 t | 2023 | up 300.0% | volatile |
| 134 | Albania | 1 1000 t | 2023 | unchanged | volatile |
| 134 | Barbados | 1 1000 t | 2023 | unchanged | volatile |
| 134 | Comoros | 1 1000 t | 2023 | — | volatile |
| 134 | Cuba | 1 1000 t | 2019 | unchanged | rising |
| 134 | Algeria | 1 1000 t | 2023 | down 75.0% | volatile |
| 134 | Gambia | 1 1000 t | 2023 | down 85.7% | volatile |
| 134 | Guyana | 1 1000 t | 2023 | up 133.3% | volatile |
| 134 | Kuwait | 1 1000 t | 2023 | down 83.3% | volatile |
| 134 | North Macedonia | 1 1000 t | 2023 | — | volatile |
| 134 | New Caledonia | 1 1000 t | 2023 | — | volatile |
| 134 | Nicaragua | 1 1000 t | 2023 | up 105.9% | volatile |
| 134 | Rwanda | 1 1000 t | 2023 | down 88.9% | volatile |
| 134 | Suriname | 1 1000 t | 2023 | — | volatile |
| 134 | Eswatini | 1 1000 t | 2023 | up 150.0% | volatile |
| 134 | Syria | 1 1000 t | 2023 | unchanged | volatile |
| 134 | Turkmenistan | 1 1000 t | 2023 | — | volatile |
| 134 | East Timor | 1 1000 t | 2023 | — | volatile |
| 134 | Samoa | 1 1000 t | 2023 | — | volatile |
| 134 | Timor-Leste | 1 1000 t | 2023 | — | volatile |
| 134 | Cabo Verde | 1 1000 t | 2023 | unchanged | rising |
| 134 | Polynesia | 1 1000 t | 2023 | — | volatile |
| 134 | Syrian Arab Republic | 1 1000 t | 2023 | unchanged | volatile |
| 156 | Angola | 0 1000 t | 2023 | — | volatile |
| 156 | Bahamas | 0 1000 t | 2023 | down 100.0% | volatile |
| 156 | Gabon | 0 1000 t | 2023 | — | volatile |
| 156 | Jamaica | 0 1000 t | 2023 | down 100.0% | volatile |
| 156 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | volatile |
| 156 | Maldives | 0 1000 t | 2023 | — | volatile |
| 156 | Mozambique | 0 1000 t | 2023 | down 100.0% | volatile |
| 156 | Mauritius | 0 1000 t | 2023 | — | volatile |
| 156 | Namibia | 0 1000 t | 2023 | down 100.0% | volatile |
| 156 | French Polynesia | 0 1000 t | 2023 | — | volatile |
| 156 | Solomon Islands | 0 1000 t | 2023 | — | volatile |
| 156 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 156 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | volatile |
| 156 | Vanuatu | 0 1000 t | 2023 | — | volatile |
| 156 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | volatile |
| 156 | Democratic People's Republic of Korea | 0 1000 t | 2018 | down 100.0% | volatile |
| 185 | Iran (Islamic Republic of) | -1 1000 t | 2023 | — | volatile |
| 186 | Costa Rica | -5 1000 t | 2023 | down 600.0% | volatile |
| 187 | Dominican Republic | -13 1000 t | 2023 | down 1,400.0% | volatile |
| 188 | Malawi | -20 1000 t | 2023 | down 122.2% | volatile |
| 189 | Paraguay | -22 1000 t | 2023 | down 266.7% | volatile |
| 190 | Sri Lanka | -58 1000 t | 2023 | — | volatile |
| 191 | Egypt | -137 1000 t | 2023 | down 4,666.7% | volatile |
| 192 | Vietnam | -381 1000 t | 2023 | down 9,625.0% | volatile |
| 192 | Viet Nam | -381 1000 t | 2023 | down 9,625.0% | volatile |
| 194 | Canada | -1,536 1000 t | 2023 | down 22.2% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 34,366 1000 t
- Europe 17,345 1000 t
- European Union (27) 14,152 1000 t
- Eastern Europe 9,315 1000 t
- Africa 9,278 1000 t
- Net Food Importing Developing Countries (NFIDCs) 8,723 1000 t
- Low Income Food Deficit Countries (LIFDCs) 8,642 1000 t
- Least Developed Countries (LDCs) 8,405 1000 t
- Land Locked Developing Countries (LLDCs) 8,066 1000 t
- Eastern Africa 6,989 1000 t
- Asia 6,048 1000 t
- Western Europe 5,962 1000 t
- Eastern Asia 4,309 1000 t
- United States of America 1,831 1000 t
- Western Africa 1,581 1000 t
- Americas 1,575 1000 t
- Southern Europe 1,268 1000 t
- Western Asia 1,195 1000 t
- Northern Europe 800 1000 t
- South America 730 1000 t
- Central Asia 622 1000 t
- Middle Africa 587 1000 t
- Central America 516 1000 t
- Northern America 296 1000 t
- Southern Africa 126 1000 t
- Oceania 118 1000 t
- Small island developing States (SIDS) 60 1000 t
- Southern Asia 27 1000 t
- Northern Africa -4 1000 t
- South-Eastern Asia -106 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.