Butter, Ghee — 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
Butter, Ghee — Food is currently reported for 158 countries. The highest value is 5,455 1000 t in India; the lowest is 0 1000 t in Democratic People's Republic of Korea.
The median across all reporting countries is 10 1000 t, and the mean is 89.61 1000 t.
Over the past decade 81 countries rose and 39 fell. The largest increase was in Netherlands (Kingdom of the) (up 309.5%), and the largest decrease in Ghana (down 100.0%).
Butter, Ghee — Food: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 5,455 1000 t | 2023 | up 44.3% | rising |
| 2 | Pakistan | 1,268 1000 t | 2023 | up 37.5% | rising |
| 3 | United States | 1,002 1000 t | 2023 | up 47.1% | rising |
| 4 | France | 548 1000 t | 2023 | up 6.8% | rising |
| 5 | Germany | 469 1000 t | 2023 | up 9.8% | rising |
| 6 | Russia | 405 1000 t | 2023 | up 9.8% | rising |
| 6 | Russian Federation | 405 1000 t | 2023 | up 9.8% | rising |
| 8 | China | 281 1000 t | 2023 | up 57.0% | rising |
| 9 | China, mainland | 246 1000 t | 2023 | up 61.8% | rising |
| 10 | Poland | 213 1000 t | 2023 | up 40.1% | rising |
| 11 | United Kingdom | 205 1000 t | 2023 | down 1.4% | flat |
| 11 | United Kingdom of Great Britain and Northern Ireland | 205 1000 t | 2023 | down 1.4% | flat |
| 13 | Iran (Islamic Republic of) | 204 1000 t | 2023 | down 18.4% | falling |
| 14 | Turkey | 156 1000 t | 2023 | down 32.5% | falling |
| 14 | Türkiye | 156 1000 t | 2023 | down 32.5% | falling |
| 16 | Brazil | 154 1000 t | 2023 | up 57.1% | rising |
| 17 | Italy | 150 1000 t | 2023 | down 13.3% | flat |
| 18 | Canada | 149 1000 t | 2023 | up 56.8% | rising |
| 19 | Australia and New Zealand | 121 1000 t | 2023 | down 9.7% | rising |
| 20 | Egypt | 114 1000 t | 2023 | down 28.8% | falling |
| 21 | Uzbekistan | 108 1000 t | 2023 | up 68.8% | rising |
| 22 | Australia | 100 1000 t | 2023 | up 17.6% | rising |
| 23 | Republic of Korea | 95 1000 t | 2023 | up 30.1% | rising |
| 24 | Netherlands (Kingdom of the) | 86 1000 t | 2023 | up 309.5% | volatile |
| 25 | Belgium | 85 1000 t | 2023 | up 9.0% | rising |
| 26 | Spain | 74 1000 t | 2023 | up 111.4% | rising |
| 27 | Nepal | 66 1000 t | 2023 | up 40.4% | rising |
| 28 | United Republic of Tanzania | 62 1000 t | 2023 | up 87.9% | rising |
| 29 | Austria | 51 1000 t | 2023 | up 8.5% | rising |
| 30 | Belarus | 50 1000 t | 2023 | up 51.5% | rising |
| 30 | Mexico | 50 1000 t | 2023 | down 12.3% | falling |
| 30 | Saudi Arabia | 50 1000 t | 2023 | down 5.7% | falling |
| 33 | Sweden | 49 1000 t | 2023 | up 16.7% | rising |
| 34 | Switzerland | 47 1000 t | 2023 | up 4.4% | rising |
| 34 | Czechia | 47 1000 t | 2023 | down 14.5% | flat |
| 36 | Ukraine | 44 1000 t | 2023 | down 56.0% | falling |
| 37 | Afghanistan | 43 1000 t | 2023 | up 19.4% | rising |
| 37 | Morocco | 43 1000 t | 2023 | down 35.8% | falling |
| 39 | Azerbaijan | 42 1000 t | 2023 | up 40.0% | rising |
| 40 | Bangladesh | 40 1000 t | 2023 | up 29.0% | rising |
| 41 | Denmark | 39 1000 t | 2023 | up 77.3% | rising |
| 42 | Kazakhstan | 38 1000 t | 2023 | up 65.2% | rising |
| 43 | Ireland | 37 1000 t | 2023 | up 164.3% | volatile |
| 44 | Chile | 33 1000 t | 2023 | up 50.0% | rising |
| 45 | Portugal | 29 1000 t | 2023 | up 26.1% | rising |
| 46 | Romania | 28 1000 t | 2023 | up 75.0% | rising |
| 47 | Finland | 27 1000 t | 2023 | down 15.6% | falling |
| 48 | Argentina | 25 1000 t | 2023 | down 32.4% | falling |
| 49 | China, Taiwan Province of | 24 1000 t | 2023 | up 41.2% | rising |
| 50 | Colombia | 23 1000 t | 2023 | up 4.5% | rising |
| 51 | Indonesia | 22 1000 t | 2023 | down 4.3% | rising |
| 51 | Niger | 22 1000 t | 2023 | up 69.2% | rising |
| 53 | New Zealand | 21 1000 t | 2023 | down 57.1% | falling |
| 53 | Philippines | 21 1000 t | 2023 | up 31.2% | rising |
| 53 | Slovakia | 21 1000 t | 2023 | up 50.0% | rising |
| 56 | Ethiopia | 20 1000 t | 2023 | up 17.6% | rising |
| 56 | Kenya | 20 1000 t | 2023 | up 25.0% | rising |
| 58 | Myanmar | 18 1000 t | 2023 | down 53.8% | falling |
| 58 | Malaysia | 18 1000 t | 2023 | up 80.0% | rising |
| 58 | Vietnam | 18 1000 t | 2023 | down 14.3% | flat |
| 58 | Viet Nam | 18 1000 t | 2023 | down 14.3% | flat |
| 62 | United Arab Emirates | 17 1000 t | 2023 | up 88.9% | rising |
| 62 | Syria | 17 1000 t | 2023 | down 19.0% | falling |
| 62 | South Africa | 17 1000 t | 2023 | down 10.5% | flat |
| 62 | Syrian Arab Republic | 17 1000 t | 2023 | down 19.0% | falling |
| 66 | Norway | 16 1000 t | 2023 | unchanged | flat |
| 66 | Thailand | 16 1000 t | 2023 | up 14.3% | rising |
| 68 | Hungary | 15 1000 t | 2023 | up 87.5% | rising |
| 69 | Israel | 14 1000 t | 2023 | up 100.0% | rising |
| 70 | Bahrain | 13 1000 t | 2023 | — | rising |
| 70 | Greece | 13 1000 t | 2023 | up 8.3% | flat |
| 70 | Iraq | 13 1000 t | 2023 | up 85.7% | rising |
| 70 | Lithuania | 13 1000 t | 2023 | up 62.5% | rising |
| 70 | Nigeria | 13 1000 t | 2023 | down 27.8% | falling |
| 70 | Uruguay | 13 1000 t | 2023 | up 44.4% | rising |
| 76 | Mongolia | 12 1000 t | 2023 | down 20.0% | falling |
| 77 | Tunisia | 11 1000 t | 2023 | up 57.1% | rising |
| 78 | Kuwait | 10 1000 t | 2023 | up 11.1% | rising |
| 78 | Peru | 10 1000 t | 2023 | up 100.0% | volatile |
| 78 | Yemen | 10 1000 t | 2023 | up 233.3% | rising |
| 78 | Caribbean | 10 1000 t | 2023 | up 25.0% | rising |
| 78 | China, Hong Kong SAR | 10 1000 t | 2023 | up 11.1% | rising |
| 83 | Bulgaria | 9 1000 t | 2023 | up 80.0% | rising |
| 83 | Panama | 9 1000 t | 2023 | up 28.6% | rising |
| 83 | Serbia | 9 1000 t | 2023 | up 80.0% | rising |
| 86 | Costa Rica | 8 1000 t | 2023 | up 33.3% | rising |
| 86 | Algeria | 8 1000 t | 2023 | down 61.9% | falling |
| 86 | Croatia | 8 1000 t | 2023 | up 60.0% | rising |
| 89 | Honduras | 7 1000 t | 2023 | up 16.7% | rising |
| 89 | Libya | 7 1000 t | 2023 | up 250.0% | volatile |
| 89 | Latvia | 7 1000 t | 2023 | up 133.3% | rising |
| 89 | Qatar | 7 1000 t | 2023 | — | rising |
| 93 | Georgia | 6 1000 t | 2023 | up 200.0% | rising |
| 93 | Jordan | 6 1000 t | 2023 | up 100.0% | rising |
| 93 | Moldova | 6 1000 t | 2023 | up 50.0% | rising |
| 93 | Oman | 6 1000 t | 2023 | up 200.0% | volatile |
| 93 | Republic of Moldova | 6 1000 t | 2023 | up 50.0% | rising |
| 98 | Dominican Republic | 5 1000 t | 2023 | up 66.7% | rising |
| 98 | Estonia | 5 1000 t | 2023 | up 150.0% | rising |
| 98 | Slovenia | 5 1000 t | 2023 | unchanged | falling |
| 101 | Guatemala | 4 1000 t | 2023 | up 33.3% | rising |
| 101 | Kyrgyzstan | 4 1000 t | 2023 | up 300.0% | volatile |
| 101 | North Macedonia | 4 1000 t | 2023 | down 42.9% | falling |
| 101 | Mauritania | 4 1000 t | 2023 | up 100.0% | rising |
| 101 | Melanesia | 4 1000 t | 2023 | down 20.0% | falling |
| 101 | Venezuela (Bolivarian Republic of) | 4 1000 t | 2023 | unchanged | volatile |
| 107 | Albania | 3 1000 t | 2023 | down 25.0% | falling |
| 107 | Armenia | 3 1000 t | 2023 | down 40.0% | falling |
| 107 | Burkina Faso | 3 1000 t | 2023 | up 200.0% | rising |
| 107 | Ecuador | 3 1000 t | 2023 | unchanged | falling |
| 107 | Fiji | 3 1000 t | 2023 | down 25.0% | falling |
| 107 | Lebanon | 3 1000 t | 2023 | down 50.0% | falling |
| 107 | Sri Lanka | 3 1000 t | 2023 | up 200.0% | rising |
| 107 | Turkmenistan | 3 1000 t | 2023 | down 25.0% | flat |
| 107 | Uganda | 3 1000 t | 2023 | up 200.0% | volatile |
| 116 | Bosnia and Herzegovina | 2 1000 t | 2023 | down 33.3% | falling |
| 116 | Bhutan | 2 1000 t | 2023 | — | flat |
| 116 | Cyprus | 2 1000 t | 2023 | up 100.0% | rising |
| 116 | Iceland | 2 1000 t | 2023 | unchanged | rising |
| 116 | Luxembourg | 2 1000 t | 2023 | up 100.0% | rising |
| 116 | Montenegro | 2 1000 t | 2023 | up 100.0% | rising |
| 116 | Rwanda | 2 1000 t | 2023 | unchanged | flat |
| 116 | Senegal | 2 1000 t | 2023 | up 100.0% | rising |
| 116 | Zambia | 2 1000 t | 2023 | up 100.0% | rising |
| 116 | Zimbabwe | 2 1000 t | 2023 | unchanged | flat |
| 116 | Polynesia | 2 1000 t | 2023 | unchanged | rising |
| 127 | Angola | 1 1000 t | 2023 | down 50.0% | falling |
| 127 | Bahamas | 1 1000 t | 2023 | unchanged | flat |
| 127 | Botswana | 1 1000 t | 2023 | unchanged | flat |
| 127 | Cote d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 127 | Cuba | 1 1000 t | 2019 | down 66.7% | falling |
| 127 | Guinea | 1 1000 t | 2023 | unchanged | rising |
| 127 | Jamaica | 1 1000 t | 2023 | unchanged | rising |
| 127 | Cambodia | 1 1000 t | 2023 | — | volatile |
| 127 | Maldives | 1 1000 t | 2023 | unchanged | rising |
| 127 | Malta | 1 1000 t | 2023 | — | volatile |
| 127 | Mauritius | 1 1000 t | 2023 | unchanged | flat |
| 127 | Namibia | 1 1000 t | 2023 | down 50.0% | rising |
| 127 | New Caledonia | 1 1000 t | 2023 | unchanged | flat |
| 127 | Nicaragua | 1 1000 t | 2023 | unchanged | flat |
| 127 | Paraguay | 1 1000 t | 2023 | unchanged | volatile |
| 127 | French Polynesia | 1 1000 t | 2023 | unchanged | flat |
| 127 | El Salvador | 1 1000 t | 2023 | unchanged | flat |
| 127 | Trinidad and Tobago | 1 1000 t | 2023 | unchanged | flat |
| 127 | Democratic Republic of the Congo | 1 1000 t | 2023 | unchanged | volatile |
| 127 | Bolivia (Plurinational State of) | 1 1000 t | 2023 | unchanged | rising |
| 127 | Côte d'Ivoire | 1 1000 t | 2023 | — | volatile |
| 127 | China, Macao SAR | 1 1000 t | 2023 | unchanged | rising |
| 149 | Congo | 0 1000 t | 2023 | — | volatile |
| 149 | Ghana | 0 1000 t | 2023 | down 100.0% | falling |
| 149 | Gambia | 0 1000 t | 2023 | — | volatile |
| 149 | Haiti | 0 1000 t | 2023 | — | volatile |
| 149 | Liberia | 0 1000 t | 2023 | — | volatile |
| 149 | Lesotho | 0 1000 t | 2023 | — | volatile |
| 149 | Mozambique | 0 1000 t | 2023 | — | volatile |
| 149 | Papua New Guinea | 0 1000 t | 2023 | down 100.0% | volatile |
| 149 | Tajikistan | 0 1000 t | 2023 | — | volatile |
| 149 | Democratic People's Republic of Korea | 0 1000 t | 2018 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 13,042 1000 t
- Asia 8,207 1000 t
- Southern Asia 7,083 1000 t
- Europe 2,826 1000 t
- European Union (27) 2,032 1000 t
- Net Food Importing Developing Countries (NFIDCs) 1,827 1000 t
- Americas 1,509 1000 t
- Western Europe 1,288 1000 t
- Northern America 1,151 1000 t
- United States of America 1,002 1000 t
- Eastern Europe 839 1000 t
- Eastern Asia 479 1000 t
- Low Income Food Deficit Countries (LIFDCs) 403 1000 t
- Northern Europe 400 1000 t
- Land Locked Developing Countries (LLDCs) 391 1000 t
- Western Asia 377 1000 t
- Africa 374 1000 t
- Least Developed Countries (LDCs) 311 1000 t
- Southern Europe 299 1000 t
- South America 267 1000 t
- Northern Africa 183 1000 t
- Central Asia 153 1000 t
- Oceania 127 1000 t
- Eastern Africa 123 1000 t
- South-Eastern Asia 115 1000 t
- Central America 80 1000 t
- Western Africa 45 1000 t
- Small island developing States (SIDS) 20 1000 t
- Southern Africa 20 1000 t
- Middle Africa 3 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.