Dates — 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
Dates — Fat supply quantity (t) is currently reported for 179 countries. The highest value is 4,448 t in Saudi Arabia; the lowest is 0 t in Lao People's Democratic Republic.
The median across all reporting countries is 0.9 t, and the mean is 122.43 t.
Over the past decade 115 countries rose and 27 fell. The largest increase was in Uzbekistan (up 31,390.0%), and the largest decrease in Mexico (down 100.0%).
Dates — Fat supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Saudi Arabia | 4,448 t | 2023 | up 71.5% | rising |
| 2 | Egypt | 4,254 t | 2023 | up 42.1% | rising |
| 3 | Algeria | 2,851 t | 2023 | up 39.7% | rising |
| 4 | Iran (Islamic Republic of) | 1,652 t | 2023 | down 20.8% | falling |
| 5 | India | 1,255 t | 2023 | up 56.4% | rising |
| 6 | Pakistan | 1,092 t | 2023 | up 22.7% | rising |
| 7 | Oman | 787.47 t | 2023 | up 37.0% | rising |
| 8 | Iraq | 557.42 t | 2023 | down 35.0% | flat |
| 9 | China | 440.64 t | 2023 | up 13.9% | rising |
| 10 | China, mainland | 439.13 t | 2023 | up 18.1% | rising |
| 11 | Tunisia | 435.96 t | 2023 | up 225.5% | rising |
| 12 | Türkiye | 434.26 t | 2023 | up 271.8% | volatile |
| 13 | Morocco | 401.86 t | 2023 | up 58.1% | rising |
| 14 | Kuwait | 333.2 t | 2023 | up 25.6% | rising |
| 15 | Libya | 280.29 t | 2023 | up 10.5% | rising |
| 16 | United Arab Emirates | 275.14 t | 2023 | up 128.8% | rising |
| 17 | Niger | 224.53 t | 2023 | up 171.4% | volatile |
| 18 | Yemen | 216.38 t | 2023 | up 8.8% | rising |
| 19 | Indonesia | 145.39 t | 2023 | up 93.9% | rising |
| 20 | Israel | 107.63 t | 2023 | up 241.7% | volatile |
| 21 | Qatar | 103.19 t | 2023 | — | rising |
| 22 | Jordan | 95.68 t | 2023 | up 94.8% | rising |
| 23 | Mauritania | 81.76 t | 2023 | up 39.7% | rising |
| 24 | Kazakhstan | 74.22 t | 2023 | up 205.9% | volatile |
| 25 | France | 67.49 t | 2023 | up 47.5% | rising |
| 26 | Bangladesh | 55.03 t | 2023 | up 3,339.4% | volatile |
| 27 | Germany | 51.45 t | 2023 | up 131.4% | rising |
| 28 | United Kingdom of Great Britain and Northern Ireland | 51.42 t | 2023 | up 43.5% | rising |
| 29 | Bahrain | 43.57 t | 2023 | — | flat |
| 30 | Canada | 41.99 t | 2023 | up 66.3% | rising |
| 31 | Malaysia | 38.83 t | 2023 | down 25.2% | rising |
| 32 | Italy | 36.38 t | 2023 | up 140.0% | rising |
| 33 | Albania | 35.4 t | 2023 | up 25.9% | rising |
| 34 | Syrian Arab Republic | 33.61 t | 2023 | up 130.5% | rising |
| 35 | Spain | 32.77 t | 2023 | up 64.9% | rising |
| 36 | Uzbekistan | 31.49 t | 2023 | up 31,390.0% | volatile |
| 37 | Russian Federation | 30.22 t | 2023 | down 46.5% | falling |
| 38 | Ethiopia | 28.62 t | 2023 | up 451.4% | volatile |
| 39 | Sri Lanka | 23.5 t | 2023 | up 20.6% | rising |
| 40 | Lebanon | 22.68 t | 2023 | up 3.5% | rising |
| 41 | Kenya | 21.07 t | 2023 | up 142.5% | rising |
| 42 | Azerbaijan | 20.48 t | 2023 | up 1,302.7% | volatile |
| 43 | Australia and New Zealand | 17.91 t | 2023 | up 18.0% | rising |
| 44 | Australia | 16.08 t | 2023 | up 18.7% | rising |
| 45 | Senegal | 14.75 t | 2023 | up 145.4% | volatile |
| 46 | United Republic of Tanzania | 13.68 t | 2023 | up 28.7% | rising |
| 47 | Poland | 12.31 t | 2023 | up 219.7% | rising |
| 48 | Belgium | 11.24 t | 2023 | up 76.2% | rising |
| 49 | Sweden | 11.21 t | 2023 | up 77.9% | rising |
| 50 | Netherlands (Kingdom of the) | 10.95 t | 2023 | up 329.4% | volatile |
| 51 | Ukraine | 9.8 t | 2023 | down 18.5% | rising |
| 52 | Côte d'Ivoire | 7.6 t | 2023 | up 258.5% | volatile |
| 53 | Switzerland | 7.46 t | 2023 | up 33.2% | rising |
| 54 | Brazil | 7.38 t | 2023 | up 467.7% | volatile |
| 55 | Kyrgyzstan | 7.13 t | 2023 | up 675.0% | volatile |
| 56 | Denmark | 6.9 t | 2023 | up 3.9% | rising |
| 57 | Austria | 6.8 t | 2023 | up 71.3% | rising |
| 58 | Djibouti | 5.39 t | 2023 | up 149.5% | volatile |
| 59 | Bulgaria | 5.25 t | 2023 | up 114.3% | rising |
| 60 | Czechia | 4.79 t | 2023 | up 268.5% | rising |
| 61 | Norway | 4.73 t | 2023 | up 95.5% | rising |
| 62 | Greece | 4.64 t | 2023 | up 248.9% | rising |
| 63 | Bosnia and Herzegovina | 3.99 t | 2023 | up 266.1% | volatile |
| 64 | Tajikistan | 3.73 t | 2023 | down 16.9% | volatile |
| 65 | Finland | 3.51 t | 2023 | up 102.9% | rising |
| 66 | Serbia | 3.47 t | 2023 | up 863.9% | volatile |
| 67 | Romania | 3.16 t | 2023 | up 41.7% | rising |
| 68 | Thailand | 3.13 t | 2023 | up 184.5% | volatile |
| 69 | Armenia | 2.85 t | 2023 | up 143.6% | rising |
| 70 | Maldives | 2.82 t | 2023 | up 213.3% | rising |
| 71 | Cyprus | 2.8 t | 2023 | up 37.9% | rising |
| 72 | North Macedonia | 2.54 t | 2023 | up 124.8% | rising |
| 73 | Georgia | 2.52 t | 2023 | up 223.1% | rising |
| 74 | Hungary | 2.37 t | 2023 | up 55.9% | rising |
| 75 | Lithuania | 2.22 t | 2023 | up 152.3% | rising |
| 76 | Ireland | 2.17 t | 2023 | up 250.0% | volatile |
| 77 | Portugal | 2.15 t | 2023 | up 165.4% | rising |
| 78 | Croatia | 1.91 t | 2023 | up 416.2% | volatile |
| 79 | New Zealand | 1.83 t | 2023 | up 12.3% | rising |
| 80 | Nigeria | 1.8 t | 2023 | down 86.5% | volatile |
| 81 | Cameroon | 1.49 t | 2023 | down 5.1% | flat |
| 82 | Slovenia | 1.26 t | 2023 | up 142.3% | volatile |
| 83 | Viet Nam | 1.22 t | 2023 | up 577.8% | volatile |
| 84 | China, Hong Kong SAR | 1.2 t | 2023 | down 72.2% | volatile |
| 85 | Argentina | 1.07 t | 2023 | up 197.2% | volatile |
| 86 | Afghanistan | 1.06 t | 2023 | down 30.7% | volatile |
| 87 | Malta | 1.01 t | 2023 | up 461.1% | rising |
| 88 | Caribbean | 1 t | 2023 | up 426.3% | volatile |
| 89 | Burkina Faso | 0.99 t | 2023 | up 2.1% | volatile |
| 90 | Latvia | 0.9 t | 2023 | up 50.0% | rising |
| 91 | Iceland | 0.8 t | 2023 | up 53.8% | rising |
| 92 | Mozambique | 0.77 t | 2023 | — | volatile |
| 93 | Montenegro | 0.74 t | 2023 | up 516.7% | volatile |
| 94 | Eswatini | 0.69 t | 2023 | down 9.2% | falling |
| 95 | Republic of Moldova | 0.68 t | 2023 | up 325.0% | rising |
| 96 | Republic of Korea | 0.66 t | 2023 | up 135.7% | volatile |
| 97 | Mongolia | 0.63 t | 2023 | up 2,000.0% | volatile |
| 98 | Belarus | 0.58 t | 2023 | down 65.1% | rising |
| 99 | Mauritius | 0.53 t | 2023 | down 14.5% | rising |
| 100 | Cambodia | 0.51 t | 2023 | up 88.9% | volatile |
| 101 | Nepal | 0.5 t | 2023 | down 90.5% | volatile |
| 102 | Trinidad and Tobago | 0.48 t | 2023 | up 500.0% | volatile |
| 103 | Uganda | 0.46 t | 2023 | up 170.6% | volatile |
| 104 | Luxembourg | 0.42 t | 2023 | up 366.7% | volatile |
| 105 | Estonia | 0.41 t | 2023 | up 86.4% | rising |
| 106 | Paraguay | 0.38 t | 2023 | — | volatile |
| 107 | Ghana | 0.37 t | 2023 | up 12.1% | volatile |
| 108 | Botswana | 0.36 t | 2023 | up 300.0% | volatile |
| 108 | Gabon | 0.36 t | 2023 | up 500.0% | volatile |
| 110 | Honduras | 0.35 t | 2023 | up 2.9% | volatile |
| 111 | Guinea | 0.33 t | 2023 | up 22.2% | volatile |
| 112 | Colombia | 0.31 t | 2023 | up 47.6% | rising |
| 113 | Namibia | 0.3 t | 2023 | down 38.8% | volatile |
| 113 | China, Taiwan Province of | 0.3 t | 2023 | down 97.2% | volatile |
| 115 | Melanesia | 0.25 t | 2023 | up 19.0% | rising |
| 116 | Uruguay | 0.23 t | 2023 | up 64.3% | rising |
| 117 | Dominican Republic | 0.2 t | 2023 | up 900.0% | volatile |
| 117 | Fiji | 0.2 t | 2023 | up 25.0% | rising |
| 117 | Lesotho | 0.2 t | 2023 | down 57.4% | volatile |
| 120 | Gambia | 0.19 t | 2023 | down 60.4% | volatile |
| 121 | Madagascar | 0.16 t | 2023 | up 433.3% | volatile |
| 121 | Panama | 0.16 t | 2023 | up 45.5% | volatile |
| 121 | Philippines | 0.16 t | 2023 | up 23.1% | rising |
| 124 | Comoros | 0.14 t | 2023 | up 1,300.0% | volatile |
| 124 | Costa Rica | 0.14 t | 2023 | — | volatile |
| 126 | Liberia | 0.13 t | 2023 | up 550.0% | volatile |
| 126 | Malawi | 0.13 t | 2023 | up 333.3% | volatile |
| 126 | Venezuela (Bolivarian Republic of) | 0.13 t | 2023 | down 60.6% | volatile |
| 129 | Chile | 0.12 t | 2023 | — | volatile |
| 129 | Turkmenistan | 0.12 t | 2023 | — | volatile |
| 131 | Bahamas | 0.11 t | 2023 | — | volatile |
| 131 | Myanmar | 0.11 t | 2023 | — | volatile |
| 131 | Cabo Verde | 0.11 t | 2023 | up 175.0% | volatile |
| 131 | Democratic Republic of the Congo | 0.11 t | 2023 | — | volatile |
| 135 | Barbados | 0.1 t | 2023 | up 150.0% | rising |
| 136 | Sierra Leone | 0.08 t | 2023 | up 700.0% | volatile |
| 137 | Angola | 0.06 t | 2023 | up 20.0% | volatile |
| 137 | Congo | 0.06 t | 2023 | up 50.0% | volatile |
| 137 | Guatemala | 0.06 t | 2023 | down 76.9% | volatile |
| 140 | Belize | 0.05 t | 2023 | — | volatile |
| 140 | Ecuador | 0.05 t | 2023 | up 400.0% | volatile |
| 140 | Guinea-Bissau | 0.05 t | 2023 | — | volatile |
| 140 | Guyana | 0.05 t | 2023 | unchanged | volatile |
| 140 | El Salvador | 0.05 t | 2023 | down 44.4% | volatile |
| 140 | Zambia | 0.05 t | 2023 | up 25.0% | volatile |
| 146 | Antigua and Barbuda | 0.04 t | 2023 | up 300.0% | volatile |
| 146 | Jamaica | 0.04 t | 2023 | up 300.0% | volatile |
| 146 | New Caledonia | 0.04 t | 2023 | unchanged | flat |
| 149 | Cuba | 0.03 t | 2019 | — | volatile |
| 149 | French Polynesia | 0.03 t | 2023 | up 50.0% | rising |
| 149 | Polynesia | 0.03 t | 2023 | up 50.0% | rising |
| 152 | Nicaragua | 0.02 t | 2023 | down 95.1% | volatile |
| 152 | Suriname | 0.02 t | 2023 | — | volatile |
| 154 | Bhutan | 0.01 t | 2023 | — | volatile |
| 154 | Grenada | 0.01 t | 2023 | — | volatile |
| 154 | Rwanda | 0.01 t | 2023 | down 66.7% | volatile |
| 154 | Seychelles | 0.01 t | 2023 | — | volatile |
| 154 | Zimbabwe | 0.01 t | 2023 | down 50.0% | volatile |
| 154 | Micronesia | 0.01 t | 2023 | — | volatile |
| 154 | China, Macao SAR | 0.01 t | 2023 | — | volatile |
| 161 | Haiti | 0 t | 2023 | — | volatile |
| 161 | Kiribati | 0 t | 2023 | — | flat |
| 161 | Saint Lucia | 0 t | 2023 | — | volatile |
| 161 | Mexico | 0 t | 2023 | down 100.0% | volatile |
| 161 | Marshall Islands | 0 t | 2023 | — | flat |
| 161 | Nauru | 0 t | 2023 | — | volatile |
| 161 | Peru | 0 t | 2023 | down 100.0% | volatile |
| 161 | Papua New Guinea | 0 t | 2023 | — | volatile |
| 161 | Solomon Islands | 0 t | 2023 | — | volatile |
| 161 | Sao Tome and Principe | 0 t | 2023 | — | volatile |
| 161 | Slovakia | 0 t | 2023 | down 100.0% | falling |
| 161 | Tonga | 0 t | 2023 | — | flat |
| 161 | Tuvalu | 0 t | 2023 | — | flat |
| 161 | Saint Vincent and the Grenadines | 0 t | 2023 | — | flat |
| 161 | Vanuatu | 0 t | 2023 | — | flat |
| 161 | Samoa | 0 t | 2023 | — | volatile |
| 161 | Timor-Leste | 0 t | 2023 | — | volatile |
| 161 | Bolivia (Plurinational State of) | 0 t | 2023 | — | volatile |
| 161 | Lao People's Democratic Republic | 0 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 22,784 t
- Asia 12,350 t
- Africa 9,785 t
- Northern Africa 9,243 t
- Net Food Importing Developing Countries (NFIDCs) 8,139 t
- Western Asia 7,515 t
- Southern Asia 4,082 t
- Low Income Food Deficit Countries (LIFDCs) 1,838 t
- Least Developed Countries (LDCs) 1,801 t
- Land Locked Developing Countries (LLDCs) 460.51 t
- Eastern Asia 447.4 t
- Europe 435.48 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.