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 131 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 3 1000 t, and the mean is 30.57 1000 t.
The gap between the highest and lowest reporting country is a factor of about 8.
Over the past decade 38 countries rose and 38 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 | Russia | 180 1000 t | 2023 | down 51.0% | falling |
| 9 | Russian Federation | 180 1000 t | 2023 | down 51.0% | falling |
| 11 | Saudi Arabia | 102 1000 t | 2023 | up 47.8% | rising |
| 12 | Romania | 76 1000 t | 2023 | up 40.7% | volatile |
| 13 | Spain | 74 1000 t | 2023 | down 16.9% | falling |
| 14 | Austria | 68 1000 t | 2023 | down 2.9% | rising |
| 15 | Sweden | 67 1000 t | 2023 | down 39.1% | falling |
| 16 | Finland | 60 1000 t | 2023 | up 93.5% | rising |
| 17 | Czechia | 57 1000 t | 2023 | up 26.7% | rising |
| 18 | Slovakia | 45 1000 t | 2023 | up 350.0% | volatile |
| 19 | Greece | 41 1000 t | 2023 | up 46.4% | rising |
| 20 | Denmark | 40 1000 t | 2023 | down 21.6% | falling |
| 20 | Portugal | 40 1000 t | 2023 | up 110.5% | rising |
| 22 | Switzerland | 38 1000 t | 2023 | up 2.7% | flat |
| 23 | Kazakhstan | 36 1000 t | 2023 | up 111.8% | rising |
| 24 | Republic of Korea | 34 1000 t | 2023 | up 325.0% | volatile |
| 25 | Croatia | 32 1000 t | 2023 | — | volatile |
| 26 | Belarus | 30 1000 t | 2023 | up 328.6% | rising |
| 26 | Norway | 30 1000 t | 2023 | down 16.7% | falling |
| 28 | Kenya | 28 1000 t | 2023 | up 75.0% | rising |
| 29 | Tunisia | 26 1000 t | 2023 | up 30.0% | rising |
| 30 | Estonia | 24 1000 t | 2023 | up 1,100.0% | volatile |
| 30 | Iran (Islamic Republic of) | 24 1000 t | 2023 | up 200.0% | volatile |
| 32 | Latvia | 20 1000 t | 2023 | down 47.4% | falling |
| 33 | Indonesia | 13 1000 t | 2023 | up 8.3% | rising |
| 33 | China, Taiwan Province of | 13 1000 t | 2023 | up 85.7% | rising |
| 35 | India | 11 1000 t | 2023 | up 450.0% | volatile |
| 35 | Malaysia | 11 1000 t | 2023 | up 450.0% | rising |
| 35 | Slovenia | 11 1000 t | 2023 | down 38.9% | falling |
| 38 | Hungary | 8 1000 t | 2023 | down 88.1% | volatile |
| 38 | Cambodia | 8 1000 t | 2023 | — | volatile |
| 38 | Moldova | 8 1000 t | 2023 | down 55.6% | falling |
| 38 | Republic of Moldova | 8 1000 t | 2023 | down 55.6% | falling |
| 42 | Guatemala | 7 1000 t | 2023 | up 16.7% | rising |
| 42 | Vietnam | 7 1000 t | 2023 | up 600.0% | volatile |
| 42 | Viet Nam | 7 1000 t | 2023 | up 600.0% | volatile |
| 45 | Australia | 6 1000 t | 2023 | unchanged | rising |
| 45 | Turkey | 6 1000 t | 2023 | up 500.0% | volatile |
| 45 | China, Hong Kong SAR | 6 1000 t | 2023 | up 200.0% | rising |
| 45 | Türkiye | 6 1000 t | 2023 | up 500.0% | volatile |
| 45 | Australia and New Zealand | 6 1000 t | 2023 | down 14.3% | rising |
| 50 | Bosnia and Herzegovina | 5 1000 t | 2023 | up 66.7% | rising |
| 51 | Argentina | 4 1000 t | 2023 | unchanged | rising |
| 51 | Armenia | 4 1000 t | 2023 | — | volatile |
| 51 | Brazil | 4 1000 t | 2023 | — | volatile |
| 51 | Jordan | 4 1000 t | 2023 | up 33.3% | falling |
| 51 | Lebanon | 4 1000 t | 2023 | up 33.3% | rising |
| 51 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | unchanged | falling |
| 57 | Botswana | 3 1000 t | 2023 | up 200.0% | volatile |
| 57 | Cyprus | 3 1000 t | 2023 | up 400.0% | volatile |
| 57 | Ecuador | 3 1000 t | 2023 | down 25.0% | rising |
| 57 | United Kingdom | 3 1000 t | 2023 | down 82.4% | volatile |
| 57 | Iraq | 3 1000 t | 2023 | — | volatile |
| 57 | Iceland | 3 1000 t | 2023 | unchanged | rising |
| 57 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | volatile |
| 57 | Libya | 3 1000 t | 2023 | unchanged | volatile |
| 57 | Pakistan | 3 1000 t | 2023 | up 50.0% | rising |
| 57 | United Kingdom of Great Britain and Northern Ireland | 3 1000 t | 2023 | down 82.4% | volatile |
| 67 | Bulgaria | 2 1000 t | 2023 | up 100.0% | volatile |
| 67 | Serbia | 2 1000 t | 2023 | unchanged | flat |
| 67 | South Africa | 2 1000 t | 2023 | down 33.3% | falling |
| 67 | Melanesia | 2 1000 t | 2023 | unchanged | volatile |
| 67 | Caribbean | 2 1000 t | 2023 | unchanged | rising |
| 72 | Albania | 1 1000 t | 2023 | — | volatile |
| 72 | Barbados | 1 1000 t | 2023 | unchanged | flat |
| 72 | Chile | 1 1000 t | 2023 | unchanged | rising |
| 72 | Cote d'Ivoire | 1 1000 t | 2023 | unchanged | volatile |
| 72 | Colombia | 1 1000 t | 2023 | unchanged | flat |
| 72 | Egypt | 1 1000 t | 2023 | down 75.0% | rising |
| 72 | Georgia | 1 1000 t | 2023 | — | volatile |
| 72 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 72 | Mauritius | 1 1000 t | 2023 | unchanged | rising |
| 72 | New Caledonia | 1 1000 t | 2023 | down 50.0% | falling |
| 72 | Peru | 1 1000 t | 2023 | unchanged | volatile |
| 72 | French Polynesia | 1 1000 t | 2023 | unchanged | rising |
| 72 | Senegal | 1 1000 t | 2023 | — | volatile |
| 72 | Syria | 1 1000 t | 2023 | — | volatile |
| 72 | United States | 1 1000 t | 2023 | down 95.0% | volatile |
| 72 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 72 | Yemen | 1 1000 t | 2023 | unchanged | volatile |
| 72 | Zimbabwe | 1 1000 t | 2023 | unchanged | volatile |
| 72 | Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 72 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | — | volatile |
| 72 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 72 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | volatile |
| 72 | China, Macao SAR | 1 1000 t | 2023 | unchanged | volatile |
| 95 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Angola | 0 1000 t | 2023 | — | volatile |
| 95 | Antigua and Barbuda | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 95 | Belize | 0 1000 t | 2023 | — | volatile |
| 95 | Dominican Republic | 0 1000 t | 2018 | — | volatile |
| 95 | Fiji | 0 1000 t | 2023 | — | volatile |
| 95 | Ghana | 0 1000 t | 2023 | — | volatile |
| 95 | Gambia | 0 1000 t | 2023 | — | volatile |
| 95 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Kuwait | 0 1000 t | 2021 | — | volatile |
| 95 | Laos | 0 1000 t | 2023 | — | volatile |
| 95 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 95 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Oman | 0 1000 t | 2023 | — | volatile |
| 95 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 95 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 95 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 95 | Thailand | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | East Timor | 0 1000 t | 2023 | — | volatile |
| 95 | Trinidad and Tobago | 0 1000 t | 2023 | — | volatile |
| 95 | Uganda | 0 1000 t | 2023 | — | volatile |
| 95 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 95 | Samoa | 0 1000 t | 2023 | — | volatile |
| 95 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 95 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 95 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 95 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
| 182 | Mexico | -1 1000 t | 2023 | down 116.7% | volatile |
| 182 | Philippines | -1 1000 t | 2023 | down 150.0% | volatile |
| 184 | Morocco | -3 1000 t | 2023 | down 400.0% | volatile |
| 185 | United Arab Emirates | -11 1000 t | 2023 | down 283.3% | volatile |
| 186 | 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
- Net Food Importing Developing Countries (NFIDCs) 95 1000 t
- Africa 79 1000 t
- Land Locked Developing Countries (LLDCs) 58 1000 t
- Low Income Food Deficit Countries (LIFDCs) 50 1000 t
- Eastern Africa 43 1000 t
- Central Asia 39 1000 t
- Southern Asia 39 1000 t
- South-Eastern Asia 39 1000 t
- Northern Africa 27 1000 t
- Least Developed Countries (LDCs) 24 1000 t
- South America 18 1000 t
- Oceania 9 1000 t
- Central America 8 1000 t
- Small island developing States (SIDS) 6 1000 t
- Southern Africa 5 1000 t
- Western Africa 2 1000 t
- Middle Africa 1 1000 t
- United States of America 1 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.