Oilcrops, Other — 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
Oilcrops, Other — Fat supply quantity (t) is currently reported for 166 countries. The highest value is 129,369 t in Nigeria; the lowest is 0 t in Netherlands (Kingdom of the).
The median across all reporting countries is 2.71 t, and the mean is 1,637 t.
Over the past decade 63 countries rose and 65 fell. The largest increase was in Ghana (up 6,928,640.0%), and the largest decrease in Angola (down 100.0%).
Oilcrops, Other — Fat supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Nigeria | 129,369 t | 2023 | up 22.6% | rising |
| 2 | Democratic Republic of the Congo | 33,289 t | 2023 | up 20.9% | rising |
| 3 | Türkiye | 25,485 t | 2023 | up 68.4% | volatile |
| 4 | Ghana | 22,865 t | 2023 | up 6,928,640.0% | volatile |
| 5 | Republic of Korea | 12,350 t | 2023 | up 199.3% | rising |
| 6 | Cameroon | 11,646 t | 2023 | up 3.7% | falling |
| 7 | Iran (Islamic Republic of) | 7,974 t | 2023 | down 45.3% | falling |
| 8 | India | 5,643 t | 2023 | up 294.5% | volatile |
| 9 | Viet Nam | 2,745 t | 2023 | up 510.8% | volatile |
| 10 | Gambia | 2,100 t | 2023 | up 807,469.0% | volatile |
| 11 | Jordan | 2,004 t | 2023 | up 29.0% | rising |
| 12 | Germany | 1,843 t | 2023 | down 52.1% | falling |
| 13 | Congo | 1,175 t | 2023 | up 1.1% | rising |
| 14 | China | 1,079 t | 2023 | up 235.5% | volatile |
| 15 | China, Taiwan Province of | 1,078 t | 2023 | up 256.1% | volatile |
| 16 | Norway | 912.98 t | 2023 | up 152,063.0% | volatile |
| 17 | Libya | 852.7 t | 2023 | up 5,186.4% | volatile |
| 18 | Iraq | 838.35 t | 2023 | down 3.2% | volatile |
| 19 | Mauritania | 820.23 t | 2023 | down 13.5% | falling |
| 20 | Ethiopia | 769.28 t | 2023 | down 32.5% | falling |
| 21 | Poland | 680.66 t | 2023 | up 17.9% | rising |
| 22 | Tajikistan | 590.13 t | 2023 | up 14.9% | volatile |
| 23 | Canada | 583.37 t | 2023 | up 4.5% | rising |
| 24 | Latvia | 512.74 t | 2023 | up 1,071.2% | volatile |
| 25 | Russian Federation | 505.92 t | 2023 | — | volatile |
| 26 | Senegal | 498.21 t | 2023 | down 2.5% | flat |
| 27 | Austria | 449.02 t | 2023 | down 73.6% | falling |
| 28 | Serbia | 436.44 t | 2023 | down 16.9% | falling |
| 29 | Afghanistan | 386.89 t | 2023 | up 8,773.6% | volatile |
| 30 | Kuwait | 256.06 t | 2023 | up 1,370.8% | volatile |
| 31 | United Kingdom of Great Britain and Northern Ireland | 225.84 t | 2023 | down 66.9% | falling |
| 32 | Egypt | 217.62 t | 2023 | — | volatile |
| 33 | Israel | 145.5 t | 2023 | down 20.0% | flat |
| 34 | Slovakia | 141.28 t | 2023 | down 66.0% | falling |
| 35 | Romania | 84.73 t | 2023 | down 35.4% | falling |
| 36 | Ireland | 77.44 t | 2023 | down 31.9% | falling |
| 37 | Bahrain | 73.36 t | 2023 | — | rising |
| 38 | Qatar | 65.56 t | 2023 | — | falling |
| 39 | Malaysia | 65 t | 2023 | down 30.8% | volatile |
| 40 | Luxembourg | 52.84 t | 2023 | up 14,577.8% | volatile |
| 41 | Switzerland | 52.83 t | 2023 | up 5.1% | falling |
| 42 | Nepal | 50.84 t | 2023 | up 23,009.1% | volatile |
| 43 | Armenia | 44.57 t | 2023 | up 68.4% | volatile |
| 44 | Polynesia | 43.88 t | 2023 | down 4.5% | flat |
| 45 | Samoa | 43.87 t | 2023 | down 0.5% | flat |
| 46 | Slovenia | 42.98 t | 2023 | up 2.0% | rising |
| 47 | Uzbekistan | 40.88 t | 2023 | — | volatile |
| 48 | Kyrgyzstan | 38.91 t | 2023 | up 184.4% | volatile |
| 49 | Oman | 37.97 t | 2023 | down 21.6% | volatile |
| 50 | Croatia | 35.59 t | 2023 | down 94.9% | volatile |
| 51 | Australia and New Zealand | 33.74 t | 2023 | down 52.5% | falling |
| 52 | Lithuania | 31.16 t | 2023 | up 260.2% | volatile |
| 53 | France | 29.82 t | 2023 | — | volatile |
| 54 | New Zealand | 24.9 t | 2023 | down 65.0% | falling |
| 55 | Denmark | 20.7 t | 2023 | up 2,735.6% | volatile |
| 56 | Italy | 20.36 t | 2023 | up 134.0% | volatile |
| 57 | North Macedonia | 19.06 t | 2023 | down 13.1% | volatile |
| 58 | Sweden | 18.67 t | 2023 | down 49.0% | rising |
| 59 | Philippines | 17.84 t | 2023 | — | volatile |
| 60 | Portugal | 13.89 t | 2023 | up 89.2% | volatile |
| 61 | Syrian Arab Republic | 12.81 t | 2023 | — | volatile |
| 62 | Yemen | 12.68 t | 2023 | down 82.4% | volatile |
| 63 | Honduras | 11.13 t | 2023 | up 4,739.1% | volatile |
| 64 | Chile | 10.48 t | 2023 | — | rising |
| 65 | Micronesia | 10.03 t | 2023 | up 6,168.8% | volatile |
| 66 | Bhutan | 8.88 t | 2023 | — | volatile |
| 67 | Australia | 8.84 t | 2023 | down 12.5% | volatile |
| 68 | Belgium | 8.66 t | 2023 | up 497.2% | volatile |
| 70 | Kenya | 7.76 t | 2023 | up 462.3% | volatile |
| 71 | Seychelles | 6.97 t | 2023 | up 4,256.2% | volatile |
| 72 | Maldives | 6.95 t | 2023 | up 2,141.9% | volatile |
| 73 | Greece | 6.22 t | 2023 | down 88.8% | volatile |
| 74 | Bangladesh | 5.78 t | 2023 | — | volatile |
| 75 | Melanesia | 4.86 t | 2023 | — | volatile |
| 76 | Botswana | 4.71 t | 2023 | down 31.1% | volatile |
| 77 | Fiji | 4.61 t | 2023 | — | volatile |
| 78 | Bosnia and Herzegovina | 4.57 t | 2023 | down 66.1% | falling |
| 79 | Lebanon | 4.06 t | 2023 | down 68.4% | volatile |
| 80 | Azerbaijan | 4.01 t | 2023 | up 13,266.7% | volatile |
| 81 | Finland | 3.55 t | 2023 | up 886.1% | volatile |
| 82 | Mexico | 3.24 t | 2023 | up 1.6% | falling |
| 83 | Grenada | 2.91 t | 2023 | — | volatile |
| 84 | Cambodia | 2.85 t | 2023 | up 85.1% | volatile |
| 85 | Tunisia | 2.56 t | 2023 | — | volatile |
| 86 | Liberia | 2.52 t | 2023 | up 6,200.0% | volatile |
| 87 | Bahamas | 2.26 t | 2023 | down 72.3% | volatile |
| 88 | Algeria | 2.21 t | 2023 | up 90.5% | volatile |
| 89 | Saudi Arabia | 2.18 t | 2023 | up 3,014.3% | volatile |
| 90 | Morocco | 2.13 t | 2023 | down 44.4% | volatile |
| 91 | Colombia | 1.87 t | 2023 | down 64.4% | volatile |
| 92 | Guatemala | 1.86 t | 2023 | down 98.6% | volatile |
| 92 | Turkmenistan | 1.86 t | 2023 | up 1,062.5% | volatile |
| 94 | Lesotho | 1.78 t | 2023 | up 535.7% | volatile |
| 95 | Côte d'Ivoire | 1.69 t | 2023 | up 312.2% | volatile |
| 96 | Brazil | 1.62 t | 2023 | down 100.0% | volatile |
| 97 | Djibouti | 1.61 t | 2023 | up 159.7% | volatile |
| 98 | Georgia | 1.33 t | 2023 | up 216.7% | volatile |
| 99 | Burkina Faso | 1.22 t | 2023 | down 100.0% | volatile |
| 100 | Antigua and Barbuda | 1.19 t | 2023 | up 147.9% | volatile |
| 101 | Sri Lanka | 1.1 t | 2023 | up 5,400.0% | volatile |
| 102 | Cyprus | 0.91 t | 2023 | up 9,000.0% | volatile |
| 103 | Mauritius | 0.81 t | 2023 | — | volatile |
| 104 | Namibia | 0.74 t | 2023 | down 31.5% | rising |
| 105 | Niger | 0.7 t | 2023 | down 24.7% | volatile |
| 106 | China, Macao SAR | 0.68 t | 2023 | up 78.9% | volatile |
| 107 | Argentina | 0.59 t | 2023 | down 99.4% | volatile |
| 107 | Madagascar | 0.59 t | 2023 | — | volatile |
| 109 | Trinidad and Tobago | 0.53 t | 2023 | up 39.5% | volatile |
| 110 | Hungary | 0.5 t | 2023 | down 99.8% | volatile |
| 111 | Iceland | 0.46 t | 2023 | up 76.9% | volatile |
| 111 | Bolivia (Plurinational State of) | 0.46 t | 2023 | — | volatile |
| 113 | Barbados | 0.45 t | 2023 | — | volatile |
| 114 | Malta | 0.39 t | 2023 | up 50.0% | volatile |
| 115 | Czechia | 0.29 t | 2023 | down 99.9% | volatile |
| 116 | Kazakhstan | 0.28 t | 2023 | up 21.7% | volatile |
| 117 | Marshall Islands | 0.27 t | 2023 | — | volatile |
| 117 | China, Hong Kong SAR | 0.27 t | 2023 | down 98.5% | volatile |
| 119 | Republic of Moldova | 0.26 t | 2023 | up 100.0% | volatile |
| 120 | Vanuatu | 0.25 t | 2023 | up 1,150.0% | volatile |
| 121 | Spain | 0.24 t | 2023 | down 100.0% | volatile |
| 122 | Myanmar | 0.2 t | 2023 | down 99.8% | volatile |
| 123 | Venezuela (Bolivarian Republic of) | 0.19 t | 2023 | down 67.8% | volatile |
| 124 | Cabo Verde | 0.15 t | 2023 | — | volatile |
| 125 | Eswatini | 0.12 t | 2023 | down 98.7% | volatile |
| 126 | Cuba | 0.09 t | 2019 | down 25.0% | volatile |
| 126 | Gabon | 0.09 t | 2023 | up 800.0% | volatile |
| 126 | Guinea-Bissau | 0.09 t | 2023 | down 99.9% | volatile |
| 126 | Paraguay | 0.09 t | 2023 | — | volatile |
| 130 | Belarus | 0.08 t | 2023 | up 166.7% | volatile |
| 131 | Nicaragua | 0.05 t | 2023 | — | volatile |
| 131 | Sierra Leone | 0.05 t | 2023 | up 25.0% | volatile |
| 133 | Sao Tome and Principe | 0.04 t | 2023 | up 300.0% | volatile |
| 133 | Lao People's Democratic Republic | 0.04 t | 2023 | — | volatile |
| 135 | Saint Lucia | 0.03 t | 2023 | — | volatile |
| 135 | Uruguay | 0.03 t | 2023 | — | volatile |
| 137 | Malawi | 0.02 t | 2023 | — | volatile |
| 138 | Guinea | 0.01 t | 2023 | down 91.7% | volatile |
| 138 | Kiribati | 0.01 t | 2021 | down 93.8% | volatile |
| 138 | Montenegro | 0.01 t | 2023 | down 80.0% | volatile |
| 138 | Uganda | 0.01 t | 2023 | — | volatile |
| 142 | Angola | 0 t | 2023 | down 100.0% | volatile |
| 142 | Albania | 0 t | 2023 | — | volatile |
| 142 | United Arab Emirates | 0 t | 2023 | down 100.0% | falling |
| 142 | Bulgaria | 0 t | 2023 | down 100.0% | volatile |
| 142 | Belize | 0 t | 2023 | down 100.0% | volatile |
| 142 | Costa Rica | 0 t | 2023 | down 100.0% | volatile |
| 142 | Dominican Republic | 0 t | 2023 | down 100.0% | volatile |
| 142 | Ecuador | 0 t | 2023 | — | volatile |
| 142 | Haiti | 0 t | 2023 | — | volatile |
| 142 | Indonesia | 0 t | 2023 | down 100.0% | volatile |
| 142 | Jamaica | 0 t | 2022 | — | volatile |
| 142 | Saint Kitts and Nevis | 0 t | 2023 | down 100.0% | volatile |
| 142 | Mongolia | 0 t | 2023 | — | volatile |
| 142 | Mozambique | 0 t | 2023 | — | flat |
| 142 | Panama | 0 t | 2023 | down 100.0% | volatile |
| 142 | Peru | 0 t | 2023 | — | volatile |
| 142 | Papua New Guinea | 0 t | 2023 | — | volatile |
| 142 | French Polynesia | 0 t | 2023 | down 100.0% | volatile |
| 142 | Rwanda | 0 t | 2023 | down 100.0% | volatile |
| 142 | Solomon Islands | 0 t | 2023 | down 100.0% | volatile |
| 142 | Thailand | 0 t | 2023 | down 100.0% | volatile |
| 142 | Tonga | 0 t | 2023 | — | volatile |
| 142 | Zambia | 0 t | 2023 | down 100.0% | volatile |
| 142 | Zimbabwe | 0 t | 2023 | down 100.0% | volatile |
| 142 | United Republic of Tanzania | 0 t | 2023 | — | volatile |
| 142 | Netherlands (Kingdom of the) | 0 t | 2023 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 323,376 t
- Africa 254,518 t
- Western Africa 166,820 t
- Low Income Food Deficit Countries (LIFDCs) 102,323 t
- Net Food Importing Developing Countries (NFIDCs) 91,142 t
- Least Developed Countries (LDCs) 88,822 t
- Middle Africa 63,307 t
- Asia 60,614 t
- Western Asia 29,592 t
- Land Locked Developing Countries (LLDCs) 29,521 t
- Northern Africa 17,176 t
- Southern Asia 14,078 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.