Butter, Ghee — 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
Butter, Ghee — Export quantity is currently reported for 152 countries. The highest value is 482 1000 t in Australia and New Zealand; the lowest is 0 1000 t in China, Macao SAR.
The median across all reporting countries is 0 1000 t, and the mean is 16.05 1000 t.
Over the past decade 23 countries rose and 20 fell. The largest increase was in Saudi Arabia (up 260.0%), and the largest decrease in Brazil (down 100.0%).
Butter, Ghee — Export quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Australia and New Zealand | 482 1000 t | 2023 | down 6.0% | flat |
| 2 | New Zealand | 473 1000 t | 2023 | up 2.6% | rising |
| 3 | Netherlands (Kingdom of the) | 356 1000 t | 2023 | up 119.8% | rising |
| 4 | Ireland | 249 1000 t | 2023 | up 38.3% | rising |
| 5 | Belgium | 159 1000 t | 2023 | up 31.4% | rising |
| 6 | Germany | 153 1000 t | 2023 | up 7.7% | rising |
| 7 | France | 106 1000 t | 2023 | up 39.5% | rising |
| 8 | Poland | 74 1000 t | 2023 | up 131.2% | rising |
| 9 | Denmark | 73 1000 t | 2023 | up 92.1% | rising |
| 10 | United Kingdom of Great Britain and Northern Ireland | 54 1000 t | 2023 | up 20.0% | rising |
| 11 | Finland | 32 1000 t | 2023 | up 33.3% | rising |
| 12 | India | 21 1000 t | 2023 | up 133.3% | volatile |
| 13 | Italy | 18 1000 t | 2023 | up 80.0% | rising |
| 13 | Saudi Arabia | 18 1000 t | 2023 | up 260.0% | volatile |
| 15 | Argentina | 16 1000 t | 2023 | down 11.1% | falling |
| 16 | Spain | 14 1000 t | 2023 | down 36.4% | falling |
| 17 | Portugal | 11 1000 t | 2023 | down 21.4% | falling |
| 18 | Australia | 10 1000 t | 2023 | down 80.4% | volatile |
| 18 | Uruguay | 10 1000 t | 2023 | down 58.3% | falling |
| 18 | Iran (Islamic Republic of) | 10 1000 t | 2023 | up 233.3% | volatile |
| 21 | Ukraine | 8 1000 t | 2023 | up 100.0% | volatile |
| 22 | United Arab Emirates | 7 1000 t | 2023 | up 16.7% | volatile |
| 22 | Lithuania | 7 1000 t | 2023 | up 16.7% | rising |
| 22 | Malaysia | 7 1000 t | 2023 | up 40.0% | rising |
| 22 | Sweden | 7 1000 t | 2023 | up 75.0% | volatile |
| 26 | Belarus | 5 1000 t | 2023 | down 92.4% | falling |
| 26 | Mexico | 5 1000 t | 2023 | unchanged | volatile |
| 28 | Austria | 4 1000 t | 2023 | up 100.0% | rising |
| 28 | Czechia | 4 1000 t | 2023 | unchanged | falling |
| 28 | Uganda | 4 1000 t | 2023 | — | volatile |
| 31 | China | 3 1000 t | 2023 | up 50.0% | falling |
| 32 | Armenia | 2 1000 t | 2023 | — | volatile |
| 32 | Egypt | 2 1000 t | 2023 | down 33.3% | volatile |
| 32 | Ghana | 2 1000 t | 2023 | — | volatile |
| 32 | Kazakhstan | 2 1000 t | 2023 | — | volatile |
| 32 | Luxembourg | 2 1000 t | 2023 | unchanged | falling |
| 32 | Serbia | 2 1000 t | 2023 | up 100.0% | rising |
| 32 | Slovakia | 2 1000 t | 2023 | down 60.0% | falling |
| 32 | Russian Federation | 2 1000 t | 2023 | down 33.3% | falling |
| 32 | China, mainland | 2 1000 t | 2023 | up 100.0% | falling |
| 41 | Azerbaijan | 1 1000 t | 2023 | — | volatile |
| 41 | Bulgaria | 1 1000 t | 2023 | unchanged | falling |
| 41 | Bahrain | 1 1000 t | 2023 | — | volatile |
| 41 | Bosnia and Herzegovina | 1 1000 t | 2023 | — | volatile |
| 41 | Canada | 1 1000 t | 2023 | down 75.0% | volatile |
| 41 | Costa Rica | 1 1000 t | 2023 | unchanged | rising |
| 41 | Estonia | 1 1000 t | 2023 | down 66.7% | volatile |
| 41 | Greece | 1 1000 t | 2023 | — | volatile |
| 41 | Honduras | 1 1000 t | 2023 | down 50.0% | volatile |
| 41 | Croatia | 1 1000 t | 2023 | down 50.0% | falling |
| 41 | Hungary | 1 1000 t | 2023 | unchanged | rising |
| 41 | Kyrgyzstan | 1 1000 t | 2023 | unchanged | volatile |
| 41 | Latvia | 1 1000 t | 2023 | down 75.0% | volatile |
| 41 | Pakistan | 1 1000 t | 2023 | — | volatile |
| 41 | Philippines | 1 1000 t | 2023 | — | volatile |
| 41 | Paraguay | 1 1000 t | 2023 | — | volatile |
| 41 | Thailand | 1 1000 t | 2023 | unchanged | volatile |
| 41 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | volatile |
| 41 | China, Hong Kong SAR | 1 1000 t | 2023 | unchanged | rising |
| 41 | Viet Nam | 1 1000 t | 2023 | — | volatile |
| 41 | Türkiye | 1 1000 t | 2023 | unchanged | volatile |
| 62 | Angola | 0 1000 t | 2023 | — | flat |
| 62 | Albania | 0 1000 t | 2022 | — | flat |
| 62 | Antigua and Barbuda | 0 1000 t | 2022 | — | flat |
| 62 | Burkina Faso | 0 1000 t | 2023 | — | flat |
| 62 | Bangladesh | 0 1000 t | 2023 | — | flat |
| 62 | Bahamas | 0 1000 t | 2018 | — | flat |
| 62 | Belize | 0 1000 t | 2023 | — | flat |
| 62 | Brazil | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Barbados | 0 1000 t | 2019 | — | flat |
| 62 | Botswana | 0 1000 t | 2023 | — | flat |
| 62 | Switzerland | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Chile | 0 1000 t | 2023 | down 100.0% | falling |
| 62 | Cameroon | 0 1000 t | 2023 | — | flat |
| 62 | Congo | 0 1000 t | 2021 | — | flat |
| 62 | Colombia | 0 1000 t | 2023 | — | volatile |
| 62 | Cyprus | 0 1000 t | 2023 | — | flat |
| 62 | Djibouti | 0 1000 t | 2023 | — | flat |
| 62 | Dominican Republic | 0 1000 t | 2023 | — | volatile |
| 62 | Algeria | 0 1000 t | 2023 | — | flat |
| 62 | Ecuador | 0 1000 t | 2023 | — | flat |
| 62 | Ethiopia | 0 1000 t | 2023 | — | flat |
| 62 | Fiji | 0 1000 t | 2023 | — | flat |
| 62 | Gabon | 0 1000 t | 2023 | — | flat |
| 62 | Georgia | 0 1000 t | 2023 | — | volatile |
| 62 | Gambia | 0 1000 t | 2017 | — | flat |
| 62 | Guatemala | 0 1000 t | 2023 | — | flat |
| 62 | Guyana | 0 1000 t | 2023 | — | flat |
| 62 | Haiti | 0 1000 t | 2023 | — | flat |
| 62 | Indonesia | 0 1000 t | 2023 | — | volatile |
| 62 | Iraq | 0 1000 t | 2023 | — | flat |
| 62 | Iceland | 0 1000 t | 2023 | — | volatile |
| 62 | Israel | 0 1000 t | 2022 | — | flat |
| 62 | Jamaica | 0 1000 t | 2023 | — | flat |
| 62 | Jordan | 0 1000 t | 2023 | — | flat |
| 62 | Kenya | 0 1000 t | 2023 | — | flat |
| 62 | Saint Kitts and Nevis | 0 1000 t | 2014 | — | flat |
| 62 | Kuwait | 0 1000 t | 2023 | — | volatile |
| 62 | Lebanon | 0 1000 t | 2023 | — | flat |
| 62 | Libya | 0 1000 t | 2019 | — | flat |
| 62 | Saint Lucia | 0 1000 t | 2020 | — | flat |
| 62 | Sri Lanka | 0 1000 t | 2023 | — | flat |
| 62 | Morocco | 0 1000 t | 2023 | — | flat |
| 62 | Madagascar | 0 1000 t | 2020 | — | flat |
| 62 | North Macedonia | 0 1000 t | 2023 | — | flat |
| 62 | Malta | 0 1000 t | 2023 | — | flat |
| 62 | Montenegro | 0 1000 t | 2023 | — | flat |
| 62 | Mongolia | 0 1000 t | 2022 | — | flat |
| 62 | Mozambique | 0 1000 t | 2023 | — | flat |
| 62 | Mauritius | 0 1000 t | 2023 | — | flat |
| 62 | Malawi | 0 1000 t | 2020 | — | flat |
| 62 | Namibia | 0 1000 t | 2023 | — | flat |
| 62 | New Caledonia | 0 1000 t | 2021 | — | flat |
| 62 | Niger | 0 1000 t | 2018 | — | flat |
| 62 | Nigeria | 0 1000 t | 2023 | — | flat |
| 62 | Nicaragua | 0 1000 t | 2023 | — | flat |
| 62 | Norway | 0 1000 t | 2023 | — | volatile |
| 62 | Nepal | 0 1000 t | 2023 | — | volatile |
| 62 | Oman | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Panama | 0 1000 t | 2020 | — | flat |
| 62 | Peru | 0 1000 t | 2023 | — | flat |
| 62 | Papua New Guinea | 0 1000 t | 2017 | — | flat |
| 62 | French Polynesia | 0 1000 t | 2014 | — | flat |
| 62 | Romania | 0 1000 t | 2023 | — | volatile |
| 62 | Rwanda | 0 1000 t | 2023 | — | flat |
| 62 | Senegal | 0 1000 t | 2023 | — | flat |
| 62 | El Salvador | 0 1000 t | 2023 | — | flat |
| 62 | Suriname | 0 1000 t | 2018 | — | flat |
| 62 | Slovenia | 0 1000 t | 2023 | — | volatile |
| 62 | Eswatini | 0 1000 t | 2014 | — | flat |
| 62 | Turkmenistan | 0 1000 t | 2019 | — | flat |
| 62 | Trinidad and Tobago | 0 1000 t | 2023 | — | flat |
| 62 | Tunisia | 0 1000 t | 2023 | — | flat |
| 62 | Uzbekistan | 0 1000 t | 2023 | — | flat |
| 62 | Vanuatu | 0 1000 t | 2014 | — | flat |
| 62 | Samoa | 0 1000 t | 2021 | — | flat |
| 62 | Yemen | 0 1000 t | 2023 | down 100.0% | volatile |
| 62 | Zambia | 0 1000 t | 2023 | — | flat |
| 62 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 62 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 62 | Melanesia | 0 1000 t | 2023 | — | flat |
| 62 | Polynesia | 0 1000 t | 2021 | — | flat |
| 62 | Democratic Republic of the Congo | 0 1000 t | 2022 | — | flat |
| 62 | Caribbean | 0 1000 t | 2023 | — | volatile |
| 62 | Republic of Korea | 0 1000 t | 2023 | — | flat |
| 62 | Republic of Moldova | 0 1000 t | 2023 | — | volatile |
| 62 | Syrian Arab Republic | 0 1000 t | 2023 | — | volatile |
| 62 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | — | flat |
| 62 | Côte d'Ivoire | 0 1000 t | 2023 | — | flat |
| 62 | United Republic of Tanzania | 0 1000 t | 2023 | — | flat |
| 62 | China, Taiwan Province of | 0 1000 t | 2023 | — | flat |
| 62 | China, Macao SAR | 0 1000 t | 2023 | — | flat |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 1,998 1000 t
- Europe 1,352 1000 t
- European Union (27) 1,280 1000 t
- Western Europe 781 1000 t
- Oceania 482 1000 t
- Northern Europe 424 1000 t
- Eastern Europe 98 1000 t
- Asia 78 1000 t
- Americas 73 1000 t
- Southern Europe 48 1000 t
- Northern America 38 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.