Cream — 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...
What the numbers show
Cream — Domestic supply quantity is currently reported for 174 countries. The highest value is 438 1000 t in Germany; the lowest is -56 1000 t in Lithuania.
The median across all reporting countries is 0 1000 t, and the mean is 21.82 1000 t.
The gap between the highest and lowest reporting country is a factor of about 8.
Over the past decade 36 countries rose and 33 fell. The largest increase was in China (up 3,055.6%), and the largest decrease in Lithuania (down 450.0%).
Cream — Domestic supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 438 1000 t | 2023 | down 19.6% | falling |
| 2 | France | 387 1000 t | 2023 | up 50.6% | rising |
| 3 | Italy | 346 1000 t | 2023 | up 92.2% | rising |
| 4 | Poland | 288 1000 t | 2023 | up 13.4% | rising |
| 5 | China | 284 1000 t | 2023 | up 3,055.6% | volatile |
| 6 | China, mainland | 264 1000 t | 2023 | — | volatile |
| 7 | Canada | 249 1000 t | 2023 | down 27.2% | falling |
| 8 | Belgium | 235 1000 t | 2023 | up 25.7% | rising |
| 9 | Russian Federation | 180 1000 t | 2023 | down 51.0% | falling |
| 10 | Saudi Arabia | 102 1000 t | 2023 | up 47.8% | rising |
| 11 | Romania | 76 1000 t | 2023 | up 40.7% | volatile |
| 12 | Spain | 74 1000 t | 2023 | down 16.9% | falling |
| 13 | Austria | 68 1000 t | 2023 | down 2.9% | rising |
| 14 | Sweden | 67 1000 t | 2023 | down 39.1% | falling |
| 15 | Finland | 60 1000 t | 2023 | up 93.5% | rising |
| 16 | Czechia | 57 1000 t | 2023 | up 26.7% | rising |
| 17 | Slovakia | 45 1000 t | 2023 | up 350.0% | volatile |
| 18 | Greece | 41 1000 t | 2023 | up 46.4% | rising |
| 19 | Denmark | 40 1000 t | 2023 | down 21.6% | falling |
| 19 | Portugal | 40 1000 t | 2023 | up 110.5% | rising |
| 21 | Switzerland | 38 1000 t | 2023 | up 2.7% | flat |
| 22 | Kazakhstan | 36 1000 t | 2023 | up 111.8% | rising |
| 23 | Republic of Korea | 34 1000 t | 2023 | up 325.0% | volatile |
| 24 | Croatia | 32 1000 t | 2023 | — | volatile |
| 25 | Belarus | 30 1000 t | 2023 | up 328.6% | rising |
| 25 | Norway | 30 1000 t | 2023 | down 16.7% | falling |
| 27 | Kenya | 28 1000 t | 2023 | up 75.0% | rising |
| 28 | Tunisia | 26 1000 t | 2023 | up 30.0% | rising |
| 29 | Estonia | 24 1000 t | 2023 | up 1,100.0% | volatile |
| 29 | Iran (Islamic Republic of) | 24 1000 t | 2023 | up 200.0% | volatile |
| 31 | Latvia | 20 1000 t | 2023 | down 47.4% | falling |
| 32 | Indonesia | 13 1000 t | 2023 | up 8.3% | rising |
| 32 | China, Taiwan Province of | 13 1000 t | 2023 | up 85.7% | rising |
| 34 | India | 11 1000 t | 2023 | up 450.0% | volatile |
| 34 | Malaysia | 11 1000 t | 2023 | up 450.0% | rising |
| 34 | Slovenia | 11 1000 t | 2023 | down 38.9% | falling |
| 37 | Hungary | 8 1000 t | 2023 | down 88.1% | volatile |
| 37 | Cambodia | 8 1000 t | 2023 | — | volatile |
| 37 | Republic of Moldova | 8 1000 t | 2023 | down 55.6% | falling |
| 40 | Guatemala | 7 1000 t | 2023 | up 16.7% | rising |
| 40 | Viet Nam | 7 1000 t | 2023 | up 600.0% | volatile |
| 42 | Australia | 6 1000 t | 2023 | unchanged | rising |
| 42 | China, Hong Kong SAR | 6 1000 t | 2023 | up 200.0% | rising |
| 42 | Türkiye | 6 1000 t | 2023 | up 500.0% | volatile |
| 42 | Australia and New Zealand | 6 1000 t | 2023 | down 14.3% | rising |
| 46 | Bosnia and Herzegovina | 5 1000 t | 2023 | up 66.7% | rising |
| 47 | Argentina | 4 1000 t | 2023 | unchanged | rising |
| 47 | Armenia | 4 1000 t | 2023 | — | volatile |
| 47 | Brazil | 4 1000 t | 2023 | — | volatile |
| 47 | Jordan | 4 1000 t | 2023 | up 33.3% | falling |
| 47 | Lebanon | 4 1000 t | 2023 | up 33.3% | rising |
| 47 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | unchanged | falling |
| 53 | Botswana | 3 1000 t | 2023 | up 200.0% | volatile |
| 53 | Cyprus | 3 1000 t | 2023 | up 400.0% | volatile |
| 53 | Ecuador | 3 1000 t | 2023 | down 25.0% | rising |
| 53 | Iraq | 3 1000 t | 2023 | — | volatile |
| 53 | Iceland | 3 1000 t | 2023 | unchanged | rising |
| 53 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | volatile |
| 53 | Libya | 3 1000 t | 2023 | unchanged | volatile |
| 53 | Pakistan | 3 1000 t | 2023 | up 50.0% | rising |
| 53 | United Kingdom of Great Britain and Northern Ireland | 3 1000 t | 2023 | down 82.4% | volatile |
| 62 | Bulgaria | 2 1000 t | 2023 | up 100.0% | volatile |
| 62 | Serbia | 2 1000 t | 2023 | unchanged | flat |
| 62 | Melanesia | 2 1000 t | 2023 | unchanged | volatile |
| 62 | Caribbean | 2 1000 t | 2023 | unchanged | rising |
| 66 | Albania | 1 1000 t | 2023 | — | volatile |
| 66 | Barbados | 1 1000 t | 2023 | unchanged | flat |
| 66 | Chile | 1 1000 t | 2023 | unchanged | rising |
| 66 | Colombia | 1 1000 t | 2023 | unchanged | flat |
| 66 | Egypt | 1 1000 t | 2023 | down 75.0% | rising |
| 66 | Georgia | 1 1000 t | 2023 | — | volatile |
| 66 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 66 | Mauritius | 1 1000 t | 2023 | unchanged | rising |
| 66 | New Caledonia | 1 1000 t | 2023 | down 50.0% | falling |
| 66 | Peru | 1 1000 t | 2023 | unchanged | volatile |
| 66 | French Polynesia | 1 1000 t | 2023 | unchanged | rising |
| 66 | Senegal | 1 1000 t | 2023 | — | volatile |
| 66 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 66 | Yemen | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Zimbabwe | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 66 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | — | volatile |
| 66 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 66 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | volatile |
| 66 | China, Macao SAR | 1 1000 t | 2023 | unchanged | volatile |
| 86 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Angola | 0 1000 t | 2023 | — | volatile |
| 86 | Antigua and Barbuda | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 86 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 86 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 86 | Bahamas | 0 1000 t | 2021 | — | flat |
| 86 | Belize | 0 1000 t | 2023 | — | volatile |
| 86 | Cameroon | 0 1000 t | 2023 | — | flat |
| 86 | Congo | 0 1000 t | 2023 | — | flat |
| 86 | Comoros | 0 1000 t | 2023 | — | flat |
| 86 | Cuba | 0 1000 t | 2019 | — | flat |
| 86 | Djibouti | 0 1000 t | 2023 | — | flat |
| 86 | Dominican Republic | 0 1000 t | 2018 | — | volatile |
| 86 | Algeria | 0 1000 t | 2023 | — | flat |
| 86 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 86 | Fiji | 0 1000 t | 2023 | — | volatile |
| 86 | Gabon | 0 1000 t | 2023 | — | flat |
| 86 | Ghana | 0 1000 t | 2023 | — | volatile |
| 86 | Guinea | 0 1000 t | 2023 | — | flat |
| 86 | Gambia | 0 1000 t | 2023 | — | volatile |
| 86 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 86 | Grenada | 0 1000 t | 2020 | — | flat |
| 86 | Guyana | 0 1000 t | 2020 | — | flat |
| 86 | Honduras | 0 1000 t | 2023 | — | flat |
| 86 | Haiti | 0 1000 t | 2023 | — | flat |
| 86 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Jamaica | 0 1000 t | 2023 | — | flat |
| 86 | Kiribati | 0 1000 t | 2023 | — | flat |
| 86 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 86 | Kuwait | 0 1000 t | 2021 | — | volatile |
| 86 | Liberia | 0 1000 t | 2021 | — | flat |
| 86 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 86 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 86 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Madagascar | 0 1000 t | 2023 | — | flat |
| 86 | Maldives | 0 1000 t | 2023 | — | flat |
| 86 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 86 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 86 | Malta | 0 1000 t | 2023 | — | flat |
| 86 | Myanmar | 0 1000 t | 2023 | — | flat |
| 86 | Montenegro | 0 1000 t | 2019 | — | flat |
| 86 | Mongolia | 0 1000 t | 2023 | — | flat |
| 86 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Malawi | 0 1000 t | 2023 | — | flat |
| 86 | Niger | 0 1000 t | 2023 | — | flat |
| 86 | Nigeria | 0 1000 t | 2023 | — | flat |
| 86 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 86 | Nepal | 0 1000 t | 2023 | — | flat |
| 86 | Nauru | 0 1000 t | 2023 | — | flat |
| 86 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Oman | 0 1000 t | 2023 | — | volatile |
| 86 | Panama | 0 1000 t | 2023 | — | flat |
| 86 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 86 | Paraguay | 0 1000 t | 2023 | — | flat |
| 86 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 86 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 86 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 86 | El Salvador | 0 1000 t | 2023 | — | flat |
| 86 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 86 | Suriname | 0 1000 t | 2023 | — | flat |
| 86 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 86 | Thailand | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Tajikistan | 0 1000 t | 2023 | — | flat |
| 86 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Tonga | 0 1000 t | 2023 | — | flat |
| 86 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 86 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 86 | Uganda | 0 1000 t | 2023 | — | volatile |
| 86 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 86 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 86 | Samoa | 0 1000 t | 2023 | — | volatile |
| 86 | Zambia | 0 1000 t | 2023 | — | flat |
| 86 | Micronesia | 0 1000 t | 2023 | — | flat |
| 86 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 86 | Cabo Verde | 0 1000 t | 2020 | — | flat |
| 86 | Democratic Republic of the Congo | 0 1000 t | 2023 | — | flat |
| 86 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 86 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 86 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
| 86 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | flat |
| 86 | Micronesia (Federated States of) | 0 1000 t | 2023 | — | flat |
| 170 | Mexico | -1 1000 t | 2023 | down 116.7% | volatile |
| 170 | Philippines | -1 1000 t | 2023 | down 150.0% | volatile |
| 172 | Morocco | -3 1000 t | 2023 | down 400.0% | volatile |
| 173 | United Arab Emirates | -11 1000 t | 2023 | down 283.3% | volatile |
| 174 | Lithuania | -56 1000 t | 2023 | down 450.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 3,523 1000 t
- Europe 2,603 1000 t
- European Union (27) 2,306 1000 t
- Western Europe 1,167 1000 t
- Eastern Europe 694 1000 t
- Asia 555 1000 t
- Southern Europe 552 1000 t
- Eastern Asia 319 1000 t
- Americas 278 1000 t
- Northern America 250 1000 t
- Northern Europe 190 1000 t
- Western Asia 119 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.