Sweeteners, 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
Sweeteners, Other — Fat supply quantity (t) is currently reported for 182 countries. The highest value is 175.51 t in China; the lowest is 0 t in China, Macao SAR.
The median across all reporting countries is 0.08 t, and the mean is 4.73 t.
Over the past decade 84 countries rose and 31 fell. The largest increase was in Italy (up 15,950.0%), and the largest decrease in Canada (down 100.0%).
Sweeteners, Other — Fat supply quantity: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | China | 175.51 t | 2023 | up 135.9% | rising |
| 2 | China, mainland | 175.22 t | 2023 | up 136.1% | rising |
| 3 | Philippines | 109.88 t | 2023 | up 91.1% | rising |
| 4 | Türkiye | 46.59 t | 2023 | — | volatile |
| 5 | Mexico | 38.89 t | 2023 | up 25.0% | rising |
| 6 | Italy | 28.89 t | 2023 | up 15,950.0% | volatile |
| 7 | Thailand | 23.8 t | 2023 | up 73.2% | rising |
| 8 | Brazil | 23.56 t | 2023 | up 35.0% | flat |
| 9 | Viet Nam | 22.18 t | 2023 | — | volatile |
| 10 | Republic of Korea | 21.5 t | 2023 | up 17.0% | rising |
| 11 | Austria | 20.28 t | 2023 | up 152.2% | rising |
| 12 | Pakistan | 18.22 t | 2023 | up 296.9% | volatile |
| 13 | Australia and New Zealand | 15.18 t | 2023 | up 88.1% | rising |
| 14 | Venezuela (Bolivarian Republic of) | 14.84 t | 2023 | up 1,249.1% | volatile |
| 15 | Russian Federation | 12.82 t | 2023 | up 2.8% | falling |
| 16 | Poland | 12.7 t | 2023 | up 2,660.9% | volatile |
| 17 | New Zealand | 12.6 t | 2023 | up 106.2% | rising |
| 18 | Switzerland | 10.58 t | 2023 | up 27.6% | rising |
| 19 | Uruguay | 9.05 t | 2023 | up 121.3% | volatile |
| 20 | Chile | 4.98 t | 2023 | up 62.2% | rising |
| 21 | Saudi Arabia | 3.89 t | 2023 | up 804.7% | volatile |
| 22 | Argentina | 3.72 t | 2023 | up 95.8% | rising |
| 23 | United Kingdom of Great Britain and Northern Ireland | 3.71 t | 2023 | up 2.8% | rising |
| 24 | Egypt | 3.61 t | 2023 | up 29.9% | falling |
| 25 | Netherlands (Kingdom of the) | 3.13 t | 2023 | up 1,390.5% | volatile |
| 26 | Germany | 2.77 t | 2023 | up 26.5% | rising |
| 27 | Australia | 2.58 t | 2023 | up 31.6% | rising |
| 28 | France | 2.4 t | 2023 | up 46.3% | rising |
| 29 | Colombia | 2.28 t | 2023 | up 16.3% | rising |
| 30 | Lithuania | 1.94 t | 2023 | down 49.5% | volatile |
| 31 | Sweden | 1.93 t | 2023 | up 1,830.0% | volatile |
| 32 | Hungary | 1.91 t | 2023 | up 2.7% | falling |
| 33 | Morocco | 1.77 t | 2023 | up 261.2% | volatile |
| 34 | Belarus | 1.72 t | 2023 | down 1.1% | rising |
| 35 | Algeria | 1.43 t | 2023 | down 11.2% | rising |
| 35 | Ukraine | 1.43 t | 2023 | up 26.5% | volatile |
| 37 | Ghana | 1.28 t | 2023 | up 236.8% | rising |
| 37 | Latvia | 1.28 t | 2023 | up 16.4% | volatile |
| 39 | Nigeria | 1.24 t | 2023 | up 57.0% | rising |
| 40 | Ecuador | 1.17 t | 2023 | up 72.1% | volatile |
| 41 | Caribbean | 1.11 t | 2023 | up 91.4% | rising |
| 42 | Peru | 1.02 t | 2023 | up 10.9% | falling |
| 43 | Lesotho | 0.93 t | 2023 | — | volatile |
| 44 | Spain | 0.91 t | 2023 | up 600.0% | volatile |
| 45 | Romania | 0.89 t | 2023 | up 20.3% | flat |
| 46 | Honduras | 0.79 t | 2023 | up 464.3% | volatile |
| 47 | Tunisia | 0.73 t | 2023 | up 160.7% | rising |
| 48 | Croatia | 0.72 t | 2023 | up 56.5% | rising |
| 49 | Israel | 0.66 t | 2023 | up 633.3% | volatile |
| 50 | Jordan | 0.55 t | 2023 | up 189.5% | rising |
| 51 | Ireland | 0.52 t | 2023 | up 372.7% | rising |
| 52 | Serbia | 0.49 t | 2023 | down 16.9% | falling |
| 53 | Guatemala | 0.44 t | 2023 | down 66.2% | volatile |
| 54 | Estonia | 0.42 t | 2023 | down 42.5% | volatile |
| 55 | Dominican Republic | 0.4 t | 2023 | — | volatile |
| 56 | Kenya | 0.36 t | 2023 | up 157.1% | volatile |
| 57 | Nepal | 0.33 t | 2023 | up 22.2% | rising |
| 58 | Bhutan | 0.32 t | 2023 | — | falling |
| 59 | Namibia | 0.29 t | 2023 | down 25.6% | volatile |
| 59 | El Salvador | 0.29 t | 2023 | up 93.3% | rising |
| 61 | Cuba | 0.28 t | 2019 | down 20.0% | falling |
| 62 | Czechia | 0.23 t | 2023 | up 130.0% | volatile |
| 62 | Denmark | 0.23 t | 2023 | up 9.5% | falling |
| 62 | Myanmar | 0.23 t | 2023 | — | volatile |
| 62 | China, Hong Kong SAR | 0.23 t | 2023 | up 43.8% | rising |
| 66 | Bahrain | 0.2 t | 2023 | — | volatile |
| 67 | Cyprus | 0.18 t | 2023 | unchanged | rising |
| 67 | Panama | 0.18 t | 2023 | unchanged | falling |
| 67 | Portugal | 0.18 t | 2023 | up 500.0% | volatile |
| 67 | Paraguay | 0.18 t | 2023 | up 100.0% | rising |
| 71 | Cambodia | 0.17 t | 2023 | up 1,600.0% | volatile |
| 72 | Burkina Faso | 0.16 t | 2023 | up 1,500.0% | volatile |
| 72 | India | 0.16 t | 2023 | up 433.3% | volatile |
| 72 | Iraq | 0.16 t | 2023 | — | volatile |
| 72 | Norway | 0.16 t | 2023 | up 128.6% | rising |
| 76 | Armenia | 0.15 t | 2023 | — | volatile |
| 76 | Costa Rica | 0.15 t | 2023 | up 200.0% | volatile |
| 76 | Kazakhstan | 0.15 t | 2023 | up 275.0% | volatile |
| 76 | Bolivia (Plurinational State of) | 0.15 t | 2023 | up 650.0% | volatile |
| 80 | Malaysia | 0.13 t | 2023 | up 18.2% | flat |
| 81 | Bahamas | 0.12 t | 2023 | up 50.0% | flat |
| 81 | Malta | 0.12 t | 2023 | down 62.5% | falling |
| 81 | Mozambique | 0.12 t | 2023 | up 71.4% | volatile |
| 81 | Oman | 0.12 t | 2023 | up 500.0% | volatile |
| 85 | Qatar | 0.11 t | 2023 | — | falling |
| 85 | Melanesia | 0.11 t | 2023 | down 31.2% | volatile |
| 87 | Fiji | 0.1 t | 2023 | down 37.5% | volatile |
| 87 | Uganda | 0.1 t | 2023 | unchanged | falling |
| 87 | Uzbekistan | 0.1 t | 2023 | — | volatile |
| 90 | Finland | 0.09 t | 2023 | down 10.0% | falling |
| 90 | Yemen | 0.09 t | 2023 | up 125.0% | volatile |
| 92 | Albania | 0.07 t | 2023 | up 600.0% | volatile |
| 92 | United Arab Emirates | 0.07 t | 2023 | up 40.0% | volatile |
| 92 | Greece | 0.07 t | 2023 | up 600.0% | volatile |
| 92 | Nicaragua | 0.07 t | 2023 | up 40.0% | rising |
| 92 | Democratic Republic of the Congo | 0.07 t | 2023 | up 250.0% | volatile |
| 92 | Syrian Arab Republic | 0.07 t | 2023 | down 75.0% | volatile |
| 98 | Belgium | 0.06 t | 2023 | down 75.0% | volatile |
| 98 | Jamaica | 0.06 t | 2023 | — | volatile |
| 98 | Mauritania | 0.06 t | 2023 | up 100.0% | volatile |
| 98 | Slovakia | 0.06 t | 2023 | up 200.0% | volatile |
| 98 | China, Taiwan Province of | 0.06 t | 2023 | up 100.0% | rising |
| 103 | Bulgaria | 0.05 t | 2023 | down 94.7% | falling |
| 103 | Zambia | 0.05 t | 2023 | unchanged | flat |
| 103 | Zimbabwe | 0.05 t | 2023 | up 25.0% | volatile |
| 106 | Barbados | 0.04 t | 2023 | up 33.3% | rising |
| 106 | Botswana | 0.04 t | 2023 | down 76.5% | volatile |
| 106 | Turkmenistan | 0.04 t | 2023 | — | volatile |
| 106 | Trinidad and Tobago | 0.04 t | 2023 | up 100.0% | volatile |
| 106 | United Republic of Tanzania | 0.04 t | 2023 | up 33.3% | volatile |
| 111 | Belize | 0.03 t | 2023 | up 200.0% | volatile |
| 111 | Haiti | 0.03 t | 2023 | — | volatile |
| 111 | Luxembourg | 0.03 t | 2023 | up 200.0% | volatile |
| 111 | Maldives | 0.03 t | 2023 | up 200.0% | volatile |
| 111 | Mongolia | 0.03 t | 2023 | — | volatile |
| 111 | Senegal | 0.03 t | 2023 | up 50.0% | rising |
| 111 | Polynesia | 0.03 t | 2023 | up 50.0% | volatile |
| 118 | Azerbaijan | 0.02 t | 2023 | down 96.0% | volatile |
| 118 | Ethiopia | 0.02 t | 2023 | down 85.7% | volatile |
| 118 | Iceland | 0.02 t | 2023 | down 60.0% | volatile |
| 118 | Lebanon | 0.02 t | 2023 | up 100.0% | volatile |
| 118 | Madagascar | 0.02 t | 2023 | down 60.0% | volatile |
| 118 | Niger | 0.02 t | 2023 | — | volatile |
| 118 | Slovenia | 0.02 t | 2023 | unchanged | rising |
| 118 | Tonga | 0.02 t | 2023 | — | volatile |
| 118 | Iran (Islamic Republic of) | 0.02 t | 2023 | — | volatile |
| 118 | Republic of Moldova | 0.02 t | 2023 | up 100.0% | volatile |
| 128 | Bangladesh | 0.01 t | 2023 | — | volatile |
| 128 | Cameroon | 0.01 t | 2023 | unchanged | volatile |
| 128 | Gabon | 0.01 t | 2023 | down 50.0% | volatile |
| 128 | Georgia | 0.01 t | 2023 | unchanged | flat |
| 128 | Guinea | 0.01 t | 2023 | — | volatile |
| 128 | Guyana | 0.01 t | 2023 | — | volatile |
| 128 | Sri Lanka | 0.01 t | 2023 | down 50.0% | volatile |
| 128 | North Macedonia | 0.01 t | 2023 | — | volatile |
| 128 | Papua New Guinea | 0.01 t | 2023 | — | volatile |
| 128 | Tajikistan | 0.01 t | 2023 | — | volatile |
| 128 | Micronesia | 0.01 t | 2023 | — | volatile |
| 128 | Timor-Leste | 0.01 t | 2023 | — | volatile |
| 128 | Lao People's Democratic Republic | 0.01 t | 2023 | — | volatile |
| 141 | Afghanistan | 0 t | 2023 | — | volatile |
| 141 | Angola | 0 t | 2023 | — | volatile |
| 141 | Antigua and Barbuda | 0 t | 2023 | — | volatile |
| 141 | Bosnia and Herzegovina | 0 t | 2023 | — | volatile |
| 141 | Canada | 0 t | 2023 | down 100.0% | volatile |
| 141 | Congo | 0 t | 2023 | — | volatile |
| 141 | Comoros | 0 t | 2023 | — | volatile |
| 141 | Djibouti | 0 t | 2023 | — | volatile |
| 141 | Gambia | 0 t | 2023 | — | volatile |
| 141 | Guinea-Bissau | 0 t | 2023 | — | volatile |
| 141 | Grenada | 0 t | 2023 | — | volatile |
| 141 | Indonesia | 0 t | 2023 | down 100.0% | volatile |
| 141 | Kyrgyzstan | 0 t | 2023 | — | flat |
| 141 | Kiribati | 0 t | 2023 | — | flat |
| 141 | Saint Kitts and Nevis | 0 t | 2023 | — | volatile |
| 141 | Kuwait | 0 t | 2023 | — | flat |
| 141 | Liberia | 0 t | 2023 | — | volatile |
| 141 | Libya | 0 t | 2023 | — | volatile |
| 141 | Saint Lucia | 0 t | 2023 | — | flat |
| 141 | Marshall Islands | 0 t | 2023 | — | flat |
| 141 | Montenegro | 0 t | 2023 | — | flat |
| 141 | Mauritius | 0 t | 2023 | down 100.0% | rising |
| 141 | Malawi | 0 t | 2023 | down 100.0% | volatile |
| 141 | New Caledonia | 0 t | 2023 | — | volatile |
| 141 | Nauru | 0 t | 2023 | — | flat |
| 141 | French Polynesia | 0 t | 2023 | down 100.0% | volatile |
| 141 | Rwanda | 0 t | 2023 | — | volatile |
| 141 | Solomon Islands | 0 t | 2023 | — | volatile |
| 141 | Sierra Leone | 0 t | 2023 | — | volatile |
| 141 | Sao Tome and Principe | 0 t | 2023 | — | flat |
| 141 | Suriname | 0 t | 2023 | down 100.0% | volatile |
| 141 | Eswatini | 0 t | 2023 | down 100.0% | volatile |
| 141 | Seychelles | 0 t | 2023 | — | volatile |
| 141 | Tuvalu | 0 t | 2023 | — | flat |
| 141 | Saint Vincent and the Grenadines | 0 t | 2023 | — | flat |
| 141 | Vanuatu | 0 t | 2023 | — | volatile |
| 141 | Samoa | 0 t | 2023 | down 100.0% | volatile |
| 141 | Cabo Verde | 0 t | 2023 | — | flat |
| 141 | Côte d'Ivoire | 0 t | 2023 | down 100.0% | volatile |
| 141 | Democratic People's Republic of Korea | 0 t | 2018 | — | flat |
| 141 | Micronesia (Federated States of) | 0 t | 2023 | — | flat |
| 141 | China, Macao SAR | 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 841.33 t
- Asia 501.53 t
- Eastern Asia 272.85 t
- Americas 165.39 t
- South-eastern Asia 156.4 t
- Europe 112.87 t
- European Union (27) 82.03 t
- Net Food Importing Developing Countries (NFIDCs) 63.49 t
- Northern America 62.5 t
- United States of America 62.5 t
- South America 60.95 t
- Western Asia 52.87 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.