Butter, Ghee — Import 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 — Import quantity is currently reported for 182 countries. The highest value is 254 1000 t in France; the lowest is 0 1000 t in Micronesia (Federated States of).
The median across all reporting countries is 1 1000 t, and the mean is 11.74 1000 t.
Over the past decade 50 countries rose and 35 fell. The largest increase was in Israel (up 700.0%), and the largest decrease in Argentina (down 100.0%).
Butter, Ghee — Import quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | France | 254 1000 t | 2023 | up 38.0% | rising |
| 2 | Netherlands (Kingdom of the) | 175 1000 t | 2023 | up 78.6% | rising |
| 3 | China | 166 1000 t | 2023 | up 107.5% | rising |
| 4 | Germany | 153 1000 t | 2023 | up 7.7% | rising |
| 5 | China, mainland | 131 1000 t | 2023 | up 151.9% | rising |
| 6 | Belgium | 125 1000 t | 2023 | down 3.8% | flat |
| 7 | Russian Federation | 108 1000 t | 2023 | down 25.0% | rising |
| 8 | Italy | 74 1000 t | 2023 | up 29.8% | rising |
| 9 | United Kingdom of Great Britain and Northern Ireland | 58 1000 t | 2023 | down 46.3% | falling |
| 10 | Saudi Arabia | 54 1000 t | 2023 | up 3.8% | falling |
| 11 | Australia | 48 1000 t | 2023 | up 108.7% | rising |
| 11 | Australia and New Zealand | 48 1000 t | 2023 | up 108.7% | rising |
| 13 | Canada | 36 1000 t | 2023 | up 500.0% | rising |
| 14 | Spain | 35 1000 t | 2023 | up 105.9% | rising |
| 15 | United Arab Emirates | 34 1000 t | 2023 | up 54.5% | rising |
| 16 | Republic of Korea | 32 1000 t | 2023 | up 433.3% | volatile |
| 17 | Mexico | 29 1000 t | 2023 | down 27.5% | falling |
| 18 | Czechia | 26 1000 t | 2023 | up 36.8% | rising |
| 19 | Malaysia | 25 1000 t | 2023 | up 66.7% | rising |
| 20 | China, Taiwan Province of | 24 1000 t | 2023 | up 33.3% | rising |
| 21 | Indonesia | 22 1000 t | 2023 | down 4.3% | rising |
| 21 | Philippines | 22 1000 t | 2023 | up 37.5% | rising |
| 21 | Poland | 22 1000 t | 2023 | up 57.1% | rising |
| 24 | Austria | 21 1000 t | 2023 | up 50.0% | rising |
| 25 | Romania | 19 1000 t | 2023 | up 216.7% | rising |
| 25 | Viet Nam | 19 1000 t | 2023 | down 9.5% | flat |
| 27 | Azerbaijan | 17 1000 t | 2023 | up 112.5% | rising |
| 28 | Denmark | 16 1000 t | 2023 | down 5.9% | falling |
| 28 | Egypt | 16 1000 t | 2023 | down 61.9% | volatile |
| 30 | Sweden | 15 1000 t | 2023 | up 36.4% | rising |
| 31 | Bahrain | 14 1000 t | 2023 | — | volatile |
| 31 | Morocco | 14 1000 t | 2023 | down 57.6% | falling |
| 31 | Slovakia | 14 1000 t | 2023 | up 16.7% | rising |
| 34 | Thailand | 13 1000 t | 2023 | up 8.3% | rising |
| 35 | Greece | 12 1000 t | 2023 | up 20.0% | rising |
| 36 | China, Hong Kong SAR | 11 1000 t | 2023 | up 10.0% | rising |
| 37 | Kuwait | 10 1000 t | 2023 | up 11.1% | rising |
| 38 | Bulgaria | 9 1000 t | 2023 | up 80.0% | rising |
| 38 | Kazakhstan | 9 1000 t | 2023 | unchanged | flat |
| 40 | Ireland | 8 1000 t | 2023 | down 20.0% | rising |
| 40 | Israel | 8 1000 t | 2023 | up 700.0% | volatile |
| 40 | Portugal | 8 1000 t | 2023 | down 33.3% | falling |
| 43 | Switzerland | 7 1000 t | 2023 | up 600.0% | volatile |
| 43 | Hungary | 7 1000 t | 2023 | up 40.0% | rising |
| 43 | Iraq | 7 1000 t | 2023 | up 600.0% | volatile |
| 43 | Libya | 7 1000 t | 2023 | up 250.0% | volatile |
| 43 | Qatar | 7 1000 t | 2023 | — | rising |
| 43 | Caribbean | 7 1000 t | 2023 | unchanged | flat |
| 43 | Türkiye | 7 1000 t | 2023 | down 65.0% | falling |
| 50 | Georgia | 6 1000 t | 2023 | up 200.0% | rising |
| 50 | Lithuania | 6 1000 t | 2023 | up 200.0% | volatile |
| 52 | Brazil | 5 1000 t | 2023 | up 25.0% | rising |
| 52 | Croatia | 5 1000 t | 2023 | up 150.0% | rising |
| 52 | Latvia | 5 1000 t | 2023 | up 150.0% | rising |
| 52 | Peru | 5 1000 t | 2023 | unchanged | rising |
| 52 | Serbia | 5 1000 t | 2023 | up 400.0% | volatile |
| 57 | Armenia | 4 1000 t | 2023 | down 20.0% | falling |
| 57 | Chile | 4 1000 t | 2023 | up 33.3% | volatile |
| 57 | Jordan | 4 1000 t | 2023 | up 33.3% | rising |
| 57 | Oman | 4 1000 t | 2023 | up 33.3% | volatile |
| 61 | Algeria | 3 1000 t | 2023 | down 80.0% | falling |
| 61 | Lebanon | 3 1000 t | 2023 | down 50.0% | falling |
| 61 | Luxembourg | 3 1000 t | 2023 | unchanged | falling |
| 61 | Mauritania | 3 1000 t | 2023 | up 200.0% | volatile |
| 61 | Panama | 3 1000 t | 2023 | up 50.0% | rising |
| 61 | Slovenia | 3 1000 t | 2023 | up 200.0% | rising |
| 61 | Tunisia | 3 1000 t | 2023 | — | volatile |
| 61 | Ukraine | 3 1000 t | 2023 | down 78.6% | volatile |
| 61 | Uzbekistan | 3 1000 t | 2023 | down 25.0% | falling |
| 61 | Melanesia | 3 1000 t | 2023 | down 25.0% | falling |
| 61 | Republic of Moldova | 3 1000 t | 2023 | up 200.0% | volatile |
| 72 | Bosnia and Herzegovina | 2 1000 t | 2023 | unchanged | falling |
| 72 | Cyprus | 2 1000 t | 2023 | up 100.0% | rising |
| 72 | Estonia | 2 1000 t | 2023 | up 100.0% | rising |
| 72 | Fiji | 2 1000 t | 2023 | unchanged | falling |
| 72 | Guatemala | 2 1000 t | 2023 | unchanged | falling |
| 72 | Jamaica | 2 1000 t | 2023 | up 100.0% | rising |
| 72 | Yemen | 2 1000 t | 2023 | up 100.0% | volatile |
| 72 | Polynesia | 2 1000 t | 2023 | unchanged | flat |
| 80 | Angola | 1 1000 t | 2023 | unchanged | flat |
| 80 | Burkina Faso | 1 1000 t | 2023 | — | volatile |
| 80 | Bangladesh | 1 1000 t | 2023 | down 75.0% | volatile |
| 80 | Bahamas | 1 1000 t | 2023 | unchanged | falling |
| 80 | Costa Rica | 1 1000 t | 2023 | — | volatile |
| 80 | Cuba | 1 1000 t | 2019 | down 50.0% | rising |
| 80 | Dominican Republic | 1 1000 t | 2023 | unchanged | rising |
| 80 | Finland | 1 1000 t | 2023 | down 66.7% | volatile |
| 80 | Ghana | 1 1000 t | 2023 | down 50.0% | falling |
| 80 | Honduras | 1 1000 t | 2023 | — | volatile |
| 80 | Cambodia | 1 1000 t | 2023 | — | volatile |
| 80 | Maldives | 1 1000 t | 2023 | unchanged | volatile |
| 80 | North Macedonia | 1 1000 t | 2023 | unchanged | flat |
| 80 | Malta | 1 1000 t | 2023 | — | volatile |
| 80 | Myanmar | 1 1000 t | 2023 | unchanged | volatile |
| 80 | Montenegro | 1 1000 t | 2023 | unchanged | flat |
| 80 | Mauritius | 1 1000 t | 2023 | unchanged | rising |
| 80 | Namibia | 1 1000 t | 2023 | down 50.0% | volatile |
| 80 | New Caledonia | 1 1000 t | 2023 | unchanged | flat |
| 80 | Nigeria | 1 1000 t | 2023 | down 80.0% | volatile |
| 80 | New Zealand | 1 1000 t | 2023 | unchanged | volatile |
| 80 | Pakistan | 1 1000 t | 2023 | unchanged | volatile |
| 80 | French Polynesia | 1 1000 t | 2023 | unchanged | flat |
| 80 | Senegal | 1 1000 t | 2023 | unchanged | flat |
| 80 | El Salvador | 1 1000 t | 2023 | — | volatile |
| 80 | Trinidad and Tobago | 1 1000 t | 2023 | unchanged | flat |
| 80 | Uruguay | 1 1000 t | 2023 | unchanged | volatile |
| 80 | Democratic Republic of the Congo | 1 1000 t | 2023 | unchanged | volatile |
| 80 | Syrian Arab Republic | 1 1000 t | 2023 | down 66.7% | volatile |
| 80 | Côte d'Ivoire | 1 1000 t | 2023 | unchanged | volatile |
| 80 | United Republic of Tanzania | 1 1000 t | 2023 | — | volatile |
| 80 | China, Macao SAR | 1 1000 t | 2023 | unchanged | rising |
| 112 | Afghanistan | 0 1000 t | 2023 | — | volatile |
| 112 | Albania | 0 1000 t | 2023 | — | flat |
| 112 | Argentina | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Antigua and Barbuda | 0 1000 t | 2023 | — | flat |
| 112 | Belarus | 0 1000 t | 2023 | — | volatile |
| 112 | Belize | 0 1000 t | 2023 | — | flat |
| 112 | Barbados | 0 1000 t | 2023 | — | flat |
| 112 | Bhutan | 0 1000 t | 2023 | — | flat |
| 112 | Botswana | 0 1000 t | 2023 | — | volatile |
| 112 | Cameroon | 0 1000 t | 2023 | — | flat |
| 112 | Congo | 0 1000 t | 2023 | — | volatile |
| 112 | Colombia | 0 1000 t | 2023 | — | flat |
| 112 | Comoros | 0 1000 t | 2023 | — | flat |
| 112 | Djibouti | 0 1000 t | 2023 | — | flat |
| 112 | Ecuador | 0 1000 t | 2023 | — | flat |
| 112 | Ethiopia | 0 1000 t | 2023 | — | volatile |
| 112 | Gabon | 0 1000 t | 2023 | — | flat |
| 112 | Guinea | 0 1000 t | 2023 | — | flat |
| 112 | Gambia | 0 1000 t | 2023 | — | volatile |
| 112 | Guinea-Bissau | 0 1000 t | 2023 | — | flat |
| 112 | Grenada | 0 1000 t | 2023 | — | flat |
| 112 | Guyana | 0 1000 t | 2023 | — | flat |
| 112 | Haiti | 0 1000 t | 2023 | — | volatile |
| 112 | India | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Iceland | 0 1000 t | 2023 | — | flat |
| 112 | Kenya | 0 1000 t | 2023 | — | volatile |
| 112 | Kyrgyzstan | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Kiribati | 0 1000 t | 2023 | — | flat |
| 112 | Saint Kitts and Nevis | 0 1000 t | 2023 | — | flat |
| 112 | Liberia | 0 1000 t | 2023 | — | volatile |
| 112 | Saint Lucia | 0 1000 t | 2023 | — | flat |
| 112 | Sri Lanka | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 112 | Madagascar | 0 1000 t | 2023 | — | flat |
| 112 | Marshall Islands | 0 1000 t | 2023 | — | flat |
| 112 | Mongolia | 0 1000 t | 2023 | — | volatile |
| 112 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 112 | Malawi | 0 1000 t | 2023 | — | flat |
| 112 | Niger | 0 1000 t | 2023 | — | flat |
| 112 | Nicaragua | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Norway | 0 1000 t | 2023 | — | volatile |
| 112 | Nepal | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Nauru | 0 1000 t | 2023 | — | flat |
| 112 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Paraguay | 0 1000 t | 2023 | — | flat |
| 112 | Rwanda | 0 1000 t | 2023 | — | flat |
| 112 | Solomon Islands | 0 1000 t | 2023 | — | flat |
| 112 | Sierra Leone | 0 1000 t | 2023 | — | flat |
| 112 | Sao Tome and Principe | 0 1000 t | 2023 | — | flat |
| 112 | Suriname | 0 1000 t | 2023 | — | flat |
| 112 | Eswatini | 0 1000 t | 2023 | — | flat |
| 112 | Seychelles | 0 1000 t | 2023 | — | flat |
| 112 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 112 | Turkmenistan | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Tonga | 0 1000 t | 2023 | — | flat |
| 112 | Tuvalu | 0 1000 t | 2023 | — | flat |
| 112 | Uganda | 0 1000 t | 2023 | — | flat |
| 112 | Saint Vincent and the Grenadines | 0 1000 t | 2023 | — | flat |
| 112 | Vanuatu | 0 1000 t | 2023 | — | flat |
| 112 | Samoa | 0 1000 t | 2023 | — | flat |
| 112 | Zambia | 0 1000 t | 2023 | — | flat |
| 112 | Zimbabwe | 0 1000 t | 2023 | — | flat |
| 112 | Micronesia | 0 1000 t | 2023 | — | flat |
| 112 | Timor-Leste | 0 1000 t | 2023 | — | flat |
| 112 | Cabo Verde | 0 1000 t | 2023 | — | flat |
| 112 | Bolivia (Plurinational State of) | 0 1000 t | 2023 | — | flat |
| 112 | Iran (Islamic Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Venezuela (Bolivarian Republic of) | 0 1000 t | 2023 | down 100.0% | volatile |
| 112 | Lao People's Democratic Republic | 0 1000 t | 2023 | — | flat |
| 112 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
| 112 | Micronesia (Federated States of) | 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 2,002 1000 t
- Europe 1,209 1000 t
- European Union (27) 1,023 1000 t
- Western Europe 739 1000 t
- Asia 518 1000 t
- Eastern Asia 214 1000 t
- Eastern Europe 211 1000 t
- Western Asia 185 1000 t
- Americas 162 1000 t
- Southern Europe 147 1000 t
- Northern Europe 111 1000 t
- South-eastern Asia 102 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.