Cream — Food 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 — Food is currently reported for 128 countries. The highest value is 438 1000 t in Germany; the lowest is 0 1000 t in Netherlands (Kingdom of the).
The median across all reporting countries is 2.5 1000 t, and the mean is 30.69 1000 t.
Over the past decade 36 countries rose and 39 fell. The largest increase was in China (up 3,055.6%), and the largest decrease in Afghanistan (down 100.0%).
Cream — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 438 1000 t | 2023 | down 16.3% | falling |
| 2 | France | 387 1000 t | 2023 | up 50.6% | rising |
| 3 | Italy | 308 1000 t | 2023 | up 71.1% | rising |
| 4 | Poland | 288 1000 t | 2023 | up 13.8% | 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 119.6% | rising |
| 9 | Russia | 180 1000 t | 2023 | down 50.0% | falling |
| 9 | Russian Federation | 180 1000 t | 2023 | down 50.0% | falling |
| 11 | Saudi Arabia | 102 1000 t | 2023 | up 47.8% | rising |
| 12 | Spain | 74 1000 t | 2023 | down 16.9% | falling |
| 13 | Austria | 68 1000 t | 2023 | up 1.5% | 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 32.6% | rising |
| 17 | Slovakia | 45 1000 t | 2023 | up 350.0% | volatile |
| 18 | Greece | 41 1000 t | 2023 | up 51.9% | rising |
| 19 | Denmark | 40 1000 t | 2023 | down 21.6% | falling |
| 19 | Portugal | 40 1000 t | 2023 | up 110.5% | rising |
| 21 | Kazakhstan | 36 1000 t | 2023 | up 111.8% | rising |
| 22 | Republic of Korea | 34 1000 t | 2023 | up 325.0% | volatile |
| 23 | Croatia | 32 1000 t | 2023 | — | volatile |
| 24 | Belarus | 30 1000 t | 2023 | up 328.6% | rising |
| 24 | Norway | 30 1000 t | 2023 | down 16.7% | falling |
| 26 | Kenya | 28 1000 t | 2023 | up 75.0% | rising |
| 27 | Romania | 26 1000 t | 2023 | down 51.9% | volatile |
| 28 | Estonia | 24 1000 t | 2023 | up 1,100.0% | volatile |
| 28 | Iran (Islamic Republic of) | 24 1000 t | 2023 | up 200.0% | volatile |
| 30 | Latvia | 20 1000 t | 2023 | down 47.4% | falling |
| 31 | Tunisia | 14 1000 t | 2023 | up 40.0% | rising |
| 32 | Indonesia | 13 1000 t | 2023 | up 8.3% | rising |
| 32 | China, Taiwan Province of | 13 1000 t | 2023 | up 85.7% | rising |
| 34 | Malaysia | 11 1000 t | 2023 | up 450.0% | rising |
| 34 | Slovenia | 11 1000 t | 2023 | down 38.9% | falling |
| 36 | Hungary | 8 1000 t | 2023 | down 87.7% | volatile |
| 36 | Cambodia | 8 1000 t | 2023 | — | volatile |
| 36 | Moldova | 8 1000 t | 2023 | down 55.6% | falling |
| 36 | Republic of Moldova | 8 1000 t | 2023 | down 55.6% | falling |
| 40 | Guatemala | 7 1000 t | 2023 | up 16.7% | rising |
| 40 | Vietnam | 7 1000 t | 2023 | up 600.0% | volatile |
| 40 | Viet Nam | 7 1000 t | 2023 | up 600.0% | volatile |
| 43 | Australia | 6 1000 t | 2023 | unchanged | rising |
| 43 | Turkey | 6 1000 t | 2023 | up 500.0% | volatile |
| 43 | China, Hong Kong SAR | 6 1000 t | 2023 | up 500.0% | volatile |
| 43 | Türkiye | 6 1000 t | 2023 | up 500.0% | volatile |
| 43 | Australia and New Zealand | 6 1000 t | 2023 | down 14.3% | rising |
| 48 | Bosnia and Herzegovina | 5 1000 t | 2023 | up 66.7% | rising |
| 49 | Argentina | 4 1000 t | 2023 | unchanged | rising |
| 49 | Armenia | 4 1000 t | 2023 | — | volatile |
| 49 | Brazil | 4 1000 t | 2023 | — | volatile |
| 49 | Jordan | 4 1000 t | 2023 | up 33.3% | falling |
| 49 | Lebanon | 4 1000 t | 2023 | up 33.3% | rising |
| 49 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | unchanged | falling |
| 55 | Botswana | 3 1000 t | 2023 | up 200.0% | volatile |
| 55 | Cyprus | 3 1000 t | 2023 | — | volatile |
| 55 | Ecuador | 3 1000 t | 2023 | down 25.0% | rising |
| 55 | United Kingdom | 3 1000 t | 2023 | down 82.4% | volatile |
| 55 | Iraq | 3 1000 t | 2023 | down 25.0% | falling |
| 55 | Iceland | 3 1000 t | 2023 | unchanged | flat |
| 55 | Kyrgyzstan | 3 1000 t | 2023 | up 200.0% | volatile |
| 55 | Libya | 3 1000 t | 2023 | unchanged | volatile |
| 55 | Pakistan | 3 1000 t | 2023 | up 50.0% | rising |
| 55 | United Kingdom of Great Britain and Northern Ireland | 3 1000 t | 2023 | down 82.4% | volatile |
| 65 | Bulgaria | 2 1000 t | 2023 | up 100.0% | volatile |
| 65 | South Africa | 2 1000 t | 2023 | down 33.3% | falling |
| 65 | Melanesia | 2 1000 t | 2023 | unchanged | volatile |
| 65 | Caribbean | 2 1000 t | 2023 | up 100.0% | rising |
| 69 | Albania | 1 1000 t | 2023 | — | volatile |
| 69 | Barbados | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Switzerland | 1 1000 t | 2023 | unchanged | falling |
| 69 | Chile | 1 1000 t | 2023 | unchanged | rising |
| 69 | Cote d'Ivoire | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Colombia | 1 1000 t | 2023 | unchanged | flat |
| 69 | Egypt | 1 1000 t | 2023 | down 75.0% | rising |
| 69 | Georgia | 1 1000 t | 2023 | — | volatile |
| 69 | Mozambique | 1 1000 t | 2023 | — | volatile |
| 69 | Mauritius | 1 1000 t | 2023 | unchanged | rising |
| 69 | New Caledonia | 1 1000 t | 2023 | down 50.0% | falling |
| 69 | Peru | 1 1000 t | 2023 | unchanged | volatile |
| 69 | French Polynesia | 1 1000 t | 2023 | unchanged | rising |
| 69 | Senegal | 1 1000 t | 2023 | — | volatile |
| 69 | Serbia | 1 1000 t | 2023 | unchanged | flat |
| 69 | Syria | 1 1000 t | 2023 | — | volatile |
| 69 | United States | 1 1000 t | 2023 | down 95.0% | volatile |
| 69 | Uzbekistan | 1 1000 t | 2023 | — | volatile |
| 69 | Yemen | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Zimbabwe | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Polynesia | 1 1000 t | 2023 | unchanged | volatile |
| 69 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | — | volatile |
| 69 | Syrian Arab Republic | 1 1000 t | 2023 | — | volatile |
| 69 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | volatile |
| 69 | China, Macao SAR | 1 1000 t | 2023 | unchanged | volatile |
| 94 | Afghanistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Angola | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | United Arab Emirates | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Azerbaijan | 0 1000 t | 2023 | — | volatile |
| 94 | Belize | 0 1000 t | 2023 | — | volatile |
| 94 | Dominican Republic | 0 1000 t | 2018 | — | volatile |
| 94 | Fiji | 0 1000 t | 2023 | — | volatile |
| 94 | Ghana | 0 1000 t | 2023 | — | volatile |
| 94 | Gambia | 0 1000 t | 2023 | — | volatile |
| 94 | Ireland | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Kuwait | 0 1000 t | 2021 | — | volatile |
| 94 | Laos | 0 1000 t | 2023 | — | volatile |
| 94 | Lithuania | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Luxembourg | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Morocco | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Mexico | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Mauritania | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Nicaragua | 0 1000 t | 2023 | — | volatile |
| 94 | New Zealand | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Oman | 0 1000 t | 2023 | — | volatile |
| 94 | Philippines | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Papua New Guinea | 0 1000 t | 2023 | — | volatile |
| 94 | Rwanda | 0 1000 t | 2023 | — | volatile |
| 94 | Seychelles | 0 1000 t | 2023 | — | volatile |
| 94 | Thailand | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | East Timor | 0 1000 t | 2023 | — | volatile |
| 94 | Uganda | 0 1000 t | 2023 | — | volatile |
| 94 | Ukraine | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Uruguay | 0 1000 t | 2023 | down 100.0% | volatile |
| 94 | Samoa | 0 1000 t | 2023 | — | volatile |
| 94 | Timor-Leste | 0 1000 t | 2023 | — | volatile |
| 94 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | volatile |
| 94 | United Republic of Tanzania | 0 1000 t | 2023 | — | volatile |
| 94 | Netherlands (Kingdom of the) | 0 1000 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 3,443 1000 t
- Europe 2,533 1000 t
- European Union (27) 2,273 1000 t
- Western Europe 1,130 1000 t
- Eastern Europe 643 1000 t
- Asia 555 1000 t
- Southern Europe 513 1000 t
- Eastern Asia 319 1000 t
- Americas 278 1000 t
- Northern America 250 1000 t
- Northern Europe 247 1000 t
- Western Asia 129 1000 t
- Net Food Importing Developing Countries (NFIDCs) 86 1000 t
- Africa 69 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
- South-Eastern Asia 39 1000 t
- Southern Asia 28 1000 t
- Least Developed Countries (LDCs) 25 1000 t
- South America 18 1000 t
- Northern Africa 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.