Cream — Export 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 — Export quantity is currently reported for 106 countries. The highest value is 243 1000 t in Germany; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 16.83 1000 t.
Over the past decade 22 countries rose and 17 fell. The largest increase was in United Arab Emirates (up 2,100.0%), and the largest decrease in Greece (down 100.0%).
Cream — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Germany | 243 1000 t | 2023 | up 34.3% | rising |
| 2 | Belgium | 225 1000 t | 2023 | up 102.7% | rising |
| 3 | Netherlands (Kingdom of the) | 223 1000 t | 2023 | up 67.7% | rising |
| 4 | France | 212 1000 t | 2023 | down 20.6% | falling |
| 5 | New Zealand | 174 1000 t | 2023 | up 461.3% | volatile |
| 5 | Australia and New Zealand | 174 1000 t | 2023 | up 461.3% | volatile |
| 7 | Spain | 84 1000 t | 2023 | up 44.8% | rising |
| 8 | Denmark | 67 1000 t | 2023 | up 219.0% | volatile |
| 9 | Lithuania | 65 1000 t | 2023 | up 41.3% | rising |
| 10 | Poland | 59 1000 t | 2023 | up 13.5% | rising |
| 11 | United Kingdom of Great Britain and Northern Ireland | 29 1000 t | 2023 | down 34.1% | volatile |
| 12 | Ireland | 28 1000 t | 2023 | up 600.0% | volatile |
| 13 | Italy | 25 1000 t | 2023 | up 47.1% | rising |
| 14 | United Arab Emirates | 22 1000 t | 2023 | up 2,100.0% | volatile |
| 15 | Austria | 18 1000 t | 2023 | up 12.5% | rising |
| 16 | Czechia | 16 1000 t | 2023 | up 14.3% | falling |
| 17 | Hungary | 14 1000 t | 2023 | up 600.0% | rising |
| 18 | Luxembourg | 12 1000 t | 2023 | up 140.0% | rising |
| 19 | Egypt | 11 1000 t | 2023 | up 1,000.0% | volatile |
| 20 | Slovakia | 10 1000 t | 2023 | down 28.6% | falling |
| 21 | Finland | 8 1000 t | 2023 | down 33.3% | falling |
| 21 | Thailand | 8 1000 t | 2023 | up 700.0% | volatile |
| 23 | Brazil | 6 1000 t | 2023 | down 14.3% | falling |
| 23 | Estonia | 6 1000 t | 2023 | down 14.3% | volatile |
| 23 | Latvia | 6 1000 t | 2023 | up 50.0% | rising |
| 26 | Morocco | 5 1000 t | 2023 | — | volatile |
| 27 | Iran (Islamic Republic of) | 4 1000 t | 2023 | down 80.0% | falling |
| 27 | Türkiye | 4 1000 t | 2023 | down 42.9% | falling |
| 29 | Slovenia | 3 1000 t | 2023 | up 200.0% | falling |
| 29 | Sweden | 3 1000 t | 2023 | down 40.0% | volatile |
| 29 | Russian Federation | 3 1000 t | 2023 | up 50.0% | volatile |
| 32 | Portugal | 2 1000 t | 2023 | down 80.0% | volatile |
| 32 | Romania | 2 1000 t | 2023 | up 100.0% | rising |
| 32 | Uruguay | 2 1000 t | 2023 | — | volatile |
| 35 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | rising |
| 35 | Belarus | 1 1000 t | 2023 | down 94.1% | volatile |
| 35 | Switzerland | 1 1000 t | 2023 | down 50.0% | falling |
| 35 | China | 1 1000 t | 2023 | unchanged | falling |
| 35 | Cyprus | 1 1000 t | 2023 | unchanged | flat |
| 35 | Mexico | 1 1000 t | 2023 | down 66.7% | volatile |
| 35 | Philippines | 1 1000 t | 2023 | — | volatile |
| 35 | Saudi Arabia | 1 1000 t | 2022 | — | volatile |
| 35 | Ukraine | 1 1000 t | 2023 | — | volatile |
| 35 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | rising |
| 35 | Republic of Korea | 1 1000 t | 2023 | down 66.7% | volatile |
| 46 | Albania | 0 1000 t | 2022 | — | flat |
| 46 | Armenia | 0 1000 t | 2023 | — | flat |
| 46 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 46 | Azerbaijan | 0 1000 t | 2017 | — | flat |
| 46 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 46 | Barbados | 0 1000 t | 2019 | — | flat |
| 46 | Botswana | 0 1000 t | 2023 | — | flat |
| 46 | Canada | 0 1000 t | 2023 | — | volatile |
| 46 | Chile | 0 1000 t | 2023 | — | flat |
| 46 | Cameroon | 0 1000 t | 2014 | — | flat |
| 46 | Colombia | 0 1000 t | 2023 | — | flat |
| 46 | Fiji | 0 1000 t | 2022 | — | flat |
| 46 | Georgia | 0 1000 t | 2021 | — | flat |
| 46 | Ghana | 0 1000 t | 2022 | — | flat |
| 46 | Greece | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 46 | Iceland | 0 1000 t | 2023 | — | flat |
| 46 | Jamaica | 0 1000 t | 2018 | — | flat |
| 46 | Jordan | 0 1000 t | 2023 | — | flat |
| 46 | Kazakhstan | 0 1000 t | 2023 | — | flat |
| 46 | Kenya | 0 1000 t | 2016 | down 100.0% | falling |
| 46 | Kyrgyzstan | 0 1000 t | 2022 | — | volatile |
| 46 | Saint Kitts and Nevis | 0 1000 t | 2017 | — | flat |
| 46 | Lebanon | 0 1000 t | 2023 | — | flat |
| 46 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 46 | Madagascar | 0 1000 t | 2020 | — | flat |
| 46 | North Macedonia | 0 1000 t | 2021 | — | flat |
| 46 | Malta | 0 1000 t | 2022 | — | flat |
| 46 | Mauritius | 0 1000 t | 2022 | — | flat |
| 46 | Malawi | 0 1000 t | 2023 | — | flat |
| 46 | Malaysia | 0 1000 t | 2023 | — | volatile |
| 46 | Niger | 0 1000 t | 2015 | — | flat |
| 46 | Nigeria | 0 1000 t | 2023 | — | flat |
| 46 | Nicaragua | 0 1000 t | 2021 | — | volatile |
| 46 | Norway | 0 1000 t | 2023 | — | flat |
| 46 | Nepal | 0 1000 t | 2019 | — | flat |
| 46 | Oman | 0 1000 t | 2022 | — | volatile |
| 46 | Panama | 0 1000 t | 2023 | — | flat |
| 46 | Peru | 0 1000 t | 2023 | — | flat |
| 46 | Paraguay | 0 1000 t | 2023 | — | flat |
| 46 | Rwanda | 0 1000 t | 2019 | — | flat |
| 46 | Senegal | 0 1000 t | 2022 | — | flat |
| 46 | El Salvador | 0 1000 t | 2017 | — | flat |
| 46 | Suriname | 0 1000 t | 2017 | — | flat |
| 46 | Trinidad and Tobago | 0 1000 t | 2019 | — | volatile |
| 46 | Tunisia | 0 1000 t | 2023 | down 100.0% | volatile |
| 46 | Uganda | 0 1000 t | 2023 | — | volatile |
| 46 | Samoa | 0 1000 t | 2021 | — | flat |
| 46 | Yemen | 0 1000 t | 2023 | — | volatile |
| 46 | Zambia | 0 1000 t | 2016 | — | flat |
| 46 | Melanesia | 0 1000 t | 2023 | — | flat |
| 46 | Polynesia | 0 1000 t | 2021 | — | flat |
| 46 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 46 | Republic of Moldova | 0 1000 t | 2014 | — | flat |
| 46 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 46 | Viet Nam | 0 1000 t | 2023 | — | flat |
| 46 | China, mainland | 0 1000 t | 2023 | — | volatile |
| 46 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 46 | United Republic of Tanzania | 0 1000 t | 2014 | — | flat |
| 46 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 46 | China, Macao SAR | 0 1000 t | 2018 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,648 1000 t
- Europe 1,369 1000 t
- European Union (27) 1,333 1000 t
- Western Europe 933 1000 t
- Northern Europe 213 1000 t
- Oceania 174 1000 t
- Southern Europe 116 1000 t
- Eastern Europe 106 1000 t
- Americas 46 1000 t
- Asia 43 1000 t
- Northern America 37 1000 t
- United States of America 37 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.