Rape and Mustard Oil — Fat supply quantity (t) 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
Rape and Mustard Oil — Fat supply quantity (t) is currently reported for 154 countries. The highest value is 3.51 million t in India; the lowest is 0 t in Syrian Arab Republic.
The median across all reporting countries is 199.19 t, and the mean is 98,666 t.
Over the past decade 76 countries rose and 51 fell. The largest increase was in Micronesia (up 28,500.0%), and the largest decrease in Haiti (down 100.0%).
Rape and Mustard Oil — Fat supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 3.51 million t | 2023 | up 48.0% | rising |
| 2 | China | 2.36 million t | 2023 | up 21.5% | rising |
| 3 | China, mainland | 2.36 million t | 2023 | up 22.1% | rising |
| 4 | United States | 1.04 million t | 2023 | up 72.6% | rising |
| 5 | United Kingdom | 710,075 t | 2023 | up 36.7% | rising |
| 5 | United Kingdom of Great Britain and Northern Ireland | 710,075 t | 2023 | up 36.7% | rising |
| 7 | Canada | 584,541 t | 2023 | up 47.2% | rising |
| 8 | Germany | 498,009 t | 2023 | up 14.4% | rising |
| 9 | Pakistan | 450,377 t | 2023 | up 129.9% | rising |
| 10 | Australia and New Zealand | 358,571 t | 2023 | up 81.2% | rising |
| 11 | Australia | 344,350 t | 2023 | up 82.6% | rising |
| 12 | Mexico | 268,520 t | 2023 | up 29.2% | rising |
| 13 | Bangladesh | 225,633 t | 2023 | up 96.9% | rising |
| 14 | France | 191,312 t | 2023 | down 2.2% | flat |
| 15 | Poland | 167,767 t | 2023 | up 1.3% | flat |
| 16 | Republic of Korea | 151,863 t | 2023 | up 54.4% | rising |
| 17 | Czechia | 131,965 t | 2023 | down 19.5% | falling |
| 18 | Iran (Islamic Republic of) | 116,407 t | 2023 | up 45.2% | rising |
| 19 | Nepal | 88,372 t | 2023 | up 36.7% | rising |
| 20 | Russia | 82,710 t | 2023 | up 1,694.9% | volatile |
| 20 | Russian Federation | 82,710 t | 2023 | up 1,694.9% | volatile |
| 22 | Austria | 76,239 t | 2023 | down 3.8% | falling |
| 23 | United Arab Emirates | 59,940 t | 2023 | up 2,051.2% | volatile |
| 24 | Slovakia | 59,804 t | 2023 | up 63.4% | rising |
| 25 | Belgium | 56,310 t | 2023 | up 34.3% | rising |
| 26 | Israel | 52,136 t | 2023 | down 10.5% | flat |
| 27 | Switzerland | 52,024 t | 2023 | up 46.5% | rising |
| 28 | Norway | 52,010 t | 2023 | up 88.8% | volatile |
| 29 | Sweden | 47,964 t | 2023 | up 51.0% | rising |
| 30 | Hungary | 33,345 t | 2023 | up 42.0% | rising |
| 31 | Kazakhstan | 29,054 t | 2023 | up 21.3% | falling |
| 32 | Chile | 25,813 t | 2023 | down 12.8% | rising |
| 33 | Philippines | 25,060 t | 2023 | up 2,495.4% | volatile |
| 34 | Malaysia | 21,457 t | 2023 | up 44.7% | rising |
| 35 | Ireland | 19,632 t | 2023 | up 2.2% | falling |
| 36 | New Zealand | 14,221 t | 2023 | up 53.1% | rising |
| 37 | Algeria | 11,786 t | 2023 | up 207.1% | volatile |
| 38 | Latvia | 9,990 t | 2023 | down 21.3% | rising |
| 39 | Vietnam | 8,997 t | 2023 | up 241.5% | volatile |
| 39 | Viet Nam | 8,997 t | 2023 | up 241.5% | volatile |
| 41 | Tunisia | 8,962 t | 2023 | — | volatile |
| 42 | Belarus | 8,636 t | 2023 | down 81.6% | falling |
| 43 | Saudi Arabia | 8,039 t | 2023 | up 199.5% | volatile |
| 44 | Ethiopia | 7,375 t | 2023 | down 71.2% | volatile |
| 45 | Tajikistan | 7,098 t | 2023 | up 11,000.9% | volatile |
| 46 | Ukraine | 6,337 t | 2023 | down 33.6% | volatile |
| 47 | Italy | 5,972 t | 2023 | down 68.0% | falling |
| 48 | Spain | 5,353 t | 2023 | up 7.2% | rising |
| 49 | Estonia | 4,191 t | 2023 | up 31.1% | rising |
| 50 | Caribbean | 3,667 t | 2023 | up 5,966.7% | volatile |
| 51 | Dominican Republic | 3,540 t | 2023 | down 1.7% | rising |
| 52 | Argentina | 3,131 t | 2023 | up 27.9% | rising |
| 53 | Kenya | 2,594 t | 2023 | up 3,084.7% | volatile |
| 54 | China, Macao SAR | 2,215 t | 2023 | down 42.8% | falling |
| 55 | Colombia | 1,979 t | 2023 | down 70.5% | rising |
| 56 | Mongolia | 1,741 t | 2023 | up 137.9% | volatile |
| 57 | Qatar | 1,632 t | 2023 | — | rising |
| 58 | Uzbekistan | 1,358 t | 2023 | up 167.2% | volatile |
| 59 | Panama | 1,288 t | 2023 | down 35.5% | flat |
| 60 | Bahrain | 1,038 t | 2023 | — | rising |
| 61 | Melanesia | 961.94 t | 2023 | down 37.4% | rising |
| 62 | Morocco | 929.21 t | 2023 | down 84.3% | volatile |
| 63 | Nigeria | 830.26 t | 2023 | up 717.2% | volatile |
| 64 | Lebanon | 752.48 t | 2023 | down 66.8% | falling |
| 65 | Moldova | 707.5 t | 2023 | down 64.7% | volatile |
| 65 | Republic of Moldova | 707.5 t | 2023 | down 64.7% | volatile |
| 67 | Jordan | 664.92 t | 2023 | up 39.4% | volatile |
| 68 | Cyprus | 623.01 t | 2023 | down 26.8% | flat |
| 69 | Fiji | 613.39 t | 2023 | down 57.8% | rising |
| 70 | Malta | 578.56 t | 2023 | up 75.5% | rising |
| 71 | Mauritius | 552.1 t | 2023 | up 33.2% | falling |
| 72 | Sri Lanka | 480.31 t | 2023 | up 174.5% | volatile |
| 73 | Luxembourg | 382.35 t | 2023 | down 54.3% | falling |
| 74 | Bhutan | 260.15 t | 2023 | — | rising |
| 75 | Slovenia | 251.62 t | 2023 | down 36.3% | falling |
| 76 | New Caledonia | 234.33 t | 2023 | up 234.1% | volatile |
| 77 | Finland | 228.95 t | 2023 | down 97.8% | volatile |
| 78 | Afghanistan | 169.42 t | 2023 | down 90.6% | volatile |
| 79 | Armenia | 161.19 t | 2023 | up 7,879.7% | volatile |
| 80 | Gabon | 137.67 t | 2023 | down 26.4% | volatile |
| 81 | Madagascar | 121.16 t | 2023 | up 832.7% | volatile |
| 82 | Venezuela (Bolivarian Republic of) | 114.84 t | 2023 | down 96.4% | volatile |
| 83 | Cambodia | 90.03 t | 2023 | — | volatile |
| 84 | Iraq | 79.25 t | 2023 | — | volatile |
| 85 | Antigua and Barbuda | 78.46 t | 2023 | up 157.4% | volatile |
| 86 | Kyrgyzstan | 73.93 t | 2023 | down 89.7% | volatile |
| 87 | Burkina Faso | 63.94 t | 2023 | up 321.2% | volatile |
| 88 | Azerbaijan | 59.86 t | 2023 | up 439.3% | volatile |
| 89 | Papua New Guinea | 59.33 t | 2023 | up 394.8% | volatile |
| 90 | Botswana | 58.29 t | 2023 | — | volatile |
| 91 | Eswatini | 55.98 t | 2023 | up 57.5% | volatile |
| 92 | Vanuatu | 54.89 t | 2023 | up 2,564.6% | volatile |
| 93 | Maldives | 41.75 t | 2023 | up 528.8% | volatile |
| 94 | Yemen | 40.43 t | 2023 | down 97.3% | volatile |
| 95 | Liberia | 37.68 t | 2023 | down 43.7% | volatile |
| 96 | Djibouti | 35.95 t | 2023 | up 2,846.7% | volatile |
| 97 | Trinidad and Tobago | 35.69 t | 2023 | up 19.1% | rising |
| 98 | Cote d'Ivoire | 34.77 t | 2023 | up 3.6% | volatile |
| 98 | Côte d'Ivoire | 34.77 t | 2023 | up 3.6% | volatile |
| 100 | Georgia | 34.28 t | 2023 | up 491.0% | volatile |
| 101 | Mauritania | 32.97 t | 2023 | down 94.8% | volatile |
| 102 | Lesotho | 29.76 t | 2023 | up 2,319.5% | volatile |
| 103 | Polynesia | 22.68 t | 2023 | up 144.7% | volatile |
| 104 | United Republic of Tanzania | 21.47 t | 2023 | up 151.1% | volatile |
| 105 | Myanmar | 18.31 t | 2023 | — | volatile |
| 106 | Samoa | 12.21 t | 2023 | — | volatile |
| 107 | Malawi | 10.6 t | 2023 | up 26.3% | volatile |
| 108 | East Timor | 10.43 t | 2023 | up 14.9% | volatile |
| 108 | Timor-Leste | 10.43 t | 2023 | up 14.9% | volatile |
| 110 | Grenada | 8.11 t | 2023 | up 114.0% | volatile |
| 111 | French Polynesia | 6.18 t | 2023 | down 33.3% | volatile |
| 112 | Zimbabwe | 5 t | 2023 | — | volatile |
| 113 | Angola | 4.48 t | 2023 | down 99.4% | volatile |
| 114 | Tonga | 4.29 t | 2023 | — | falling |
| 115 | Seychelles | 3.93 t | 2023 | up 174.8% | volatile |
| 116 | Democratic Republic of the Congo | 3.46 t | 2023 | — | volatile |
| 117 | Albania | 3.43 t | 2023 | down 95.9% | volatile |
| 118 | Congo | 3.3 t | 2023 | down 54.1% | volatile |
| 119 | Laos | 3.04 t | 2023 | up 55.1% | volatile |
| 119 | Lao People's Democratic Republic | 3.04 t | 2023 | up 55.1% | volatile |
| 121 | Micronesia | 2.86 t | 2023 | up 28,500.0% | volatile |
| 122 | Mozambique | 2.83 t | 2023 | down 33.7% | volatile |
| 123 | Bolivia (Plurinational State of) | 2.63 t | 2023 | — | volatile |
| 124 | Zambia | 2.37 t | 2023 | down 78.3% | volatile |
| 125 | Sierra Leone | 2.34 t | 2023 | down 87.0% | volatile |
| 126 | Guinea | 1.98 t | 2023 | down 87.6% | volatile |
| 127 | Saint Lucia | 1.35 t | 2023 | up 350.0% | volatile |
| 128 | Montenegro | 1.33 t | 2023 | down 26.5% | volatile |
| 129 | Senegal | 1.19 t | 2023 | down 98.2% | volatile |
| 130 | Marshall Islands | 1.1 t | 2023 | — | rising |
| 131 | Nauru | 1 t | 2023 | — | volatile |
| 131 | Nauru | 1 t | 2023 | — | volatile |
| 133 | Uganda | 0.73 t | 2023 | down 85.5% | volatile |
| 134 | Comoros | 0.63 t | 2023 | — | volatile |
| 135 | Micronesia (Federated States of) | 0.56 t | 2023 | — | rising |
| 136 | Gambia | 0.38 t | 2023 | — | volatile |
| 137 | Libya | 0.29 t | 2023 | — | volatile |
| 138 | Cameroon | 0.2 t | 2023 | down 35.5% | volatile |
| 138 | Kiribati | 0.2 t | 2023 | up 1,900.0% | volatile |
| 140 | Niger | 0.12 t | 2023 | down 98.5% | volatile |
| 141 | Democratic People's Republic of Korea | 0.09 t | 2018 | down 99.4% | volatile |
| 142 | Sao Tome and Principe | 0.01 t | 2023 | down 87.5% | volatile |
| 143 | Ghana | 0 t | 2023 | — | volatile |
| 143 | Guinea-Bissau | 0 t | 2023 | — | volatile |
| 143 | Haiti | 0 t | 2023 | down 100.0% | volatile |
| 143 | Oman | 0 t | 2023 | — | volatile |
| 143 | Peru | 0 t | 2023 | down 100.0% | volatile |
| 143 | Solomon Islands | 0 t | 2023 | down 100.0% | volatile |
| 143 | Syria | 0 t | 2023 | — | volatile |
| 143 | Turkmenistan | 0 t | 2023 | down 100.0% | volatile |
| 143 | Tuvalu | 0 t | 2023 | — | volatile |
| 143 | Cabo Verde | 0 t | 2023 | — | volatile |
| 143 | China, Hong Kong SAR | 0 t | 2023 | down 100.0% | flat |
| 143 | Syrian Arab Republic | 0 t | 2023 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 12.32 million t
- Asia 7.77 million t
- Southern Asia 4.39 million t
- Eastern Asia 3.16 million t
- Europe 2.22 million t
- Americas 1.93 million t
- Northern America 1.63 million t
- European Union (27) 1.31 million t
- United States of America 1.04 million t
- Western Europe 874,276 t
- Northern Europe 844,110 t
- Net Food Importing Developing Countries (NFIDCs) 793,299 t
- Eastern Europe 491,271 t
- Oceania 359,558 t
- Least Developed Countries (LDCs) 322,611 t
- Central America 269,808 t
- Land Locked Developing Countries (LLDCs) 136,667 t
- Western Asia 125,244 t
- Low Income Food Deficit Countries (LIFDCs) 107,975 t
- South-Eastern Asia 55,636 t
- Central Asia 37,584 t
- Africa 34,226 t
- South America 31,040 t
- Northern Africa 21,749 t
- Southern Europe 15,310 t
- Eastern Africa 10,728 t
- Small island developing States (SIDS) 5,264 t
- Western Africa 1,453 t
- Middle Africa 151.74 t
- Southern Africa 144.03 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.